Estatísticas Mundiais de Saúde
World_Statistics_2013.pdf
Documento PDF (3.6MB)
Documento PDF (3.6MB)
The World Health Statistics series is WHO’s annual compilation
of health-related data for its 194 Member States, and includes a
summary of the progress made towards achieving the health-related
Millennium Development Goals (MDGs) and associated targets.
This year, it also includes highlight summaries on the topics of
reducing the gaps between the world’s most-advantaged and leastadvantaged countries, and on current trends in official development
assistance (ODA) for health. 世界卫生统计系列是世界卫生组织每年对其
The series is produced193个成员国健康相关数据的编辑，还包括对实现
by the WHO Department of Health Statistics
卫生千年发展目标和其他相关目标取得的进展的
and Information Systems
of the Health Systems and Innovation
Cluster. As in previous 概述。
years, World Health Statistics 2013 has been
compiled using publications and databases produced and maintained
正如先前的版本，《2010年世界卫生统计》
by WHO technical programmes
and regional offices. A number of
的编纂也使用了世界卫生组织技术项目和区域办
demographic and socioeconomic
statistics have also been derived
from databases maintained
by
a
range
of other organizations.
公室持续发布的公示和数据库资料。指标的纳入
基于其对全球公共卫生的适用性，数据的可获得
WORLD HEALTH STATISTICS 2013
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010 01011 01001 00010 11101 1101 01010 00010 00101 01001 01111 00100 01010 10101
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000 00010 10101 00101 10010 0000 01011 11011 10001 00010
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isbn 978 92 4 156458 8
001010101001010101010010101010011010100100001010101001111010100010100100100101000101001010010101001001001010100001010100010010
111100101010101001001010000101001000101001010010100100010001111000101000010001000010000100000010010000100110101011110001010010
ISBN 978 92 4 156398 7
010010101001001010100001010010001010010100101001000100010001001001010010111110101010000101011111100101000110010010010001000101
000100100101000001000101010100001001001001010000100101000100101010010111011101000100101001001000101001010101001010010010010010
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101001010101001101010010000101010100111101010001010010010010100010100101001010100100100101010000101010001001010111110010101010
9 789241 564588
100101000010100100010100101001010010001000100010010010100101111101010100001010111111001010001100100100100010001010010001001001
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010101001010101010010101010011010100100001010101001111010100010100100100101000101001010010101001001001010100001010100010010101
9 789241 563987
100101010101001001010000101001000101001010010100100010010001001001010010111110101010000101011111100101000110010010010001000101
000100100101000001000101010100001001001001010000100101000100101010010111011101000100101001001000101001010101001010010010010010
100100100100101010100101010101001010101001101010010000101010100111101010001010010010010100010100101001010100100100101010000101
001001010111110010101010100100101000010100100010100101001010010001000100010010010100101111101010100001010111111001010001100100
100010001010010001001001010000010001010101000010010010010100001001010001001010100101110111010001001010010010001010010101010010
All the indicators shown have been included on the basis of their
性和质量情况及终估计值的信度和可比性。这些
relevance to global public
health, the availability and quality of the
data, and the reliability指标对国民健康和关键地区卫生系统的现状提供
and comparability of the resulting estimates.
Taken together, these indicators
provide a comprehensive summary
了全年的描述。
of the current status of national health and health systems in key
为尽可能确保各国报告数据的最优使用
—
areas.
需要处理和调整缺失值，校正已知偏倚和使各国
WHO presents World Health
Statistics 2013 as an integral part of
之间数据可比性最大化。此外，还使用了统计技
its ongoing efforts to provide enhanced access to comparable
术和模型法来填补空白的数据。
high-quality statistics on core measures of population health and
national health systems. Unless
otherwise stated, all estimates have
世界卫生组织提供的《2010年世界卫生统
been cleared following计》是其为提高人们获取高质量的人群健康指标
consultation with Member States and are
published here as official WHO figures.
和各国卫生系统指标数据机会而不断努力的一部
分。如无其他说明，所有的估计值均已澄清了各
会员国的异议，并作为世界卫生组织的官方数据
公布于此。
2013
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0010101010010101010010101010010101010010101010010101010010101010010101010010101010010
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101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
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01101001100110100110011010011001101001100110100110011010011001101001
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01101001100110100110011010011001101001100110100110011010011001101001
2013
1
WHO Library Cataloguing-in-Publication Data
World health statistics 2013.
1.Health status indicators. 2.World health. 3.Health services - statistics. 4.Mortality. 5.Morbidity. 6.Life expectancy. 7.Demography.
8. Statistics. I.World Health Organization.
ISBN 978 92 4 156458 8
(NLM classification: WA 900.1)
© World Health Organization 2013
All rights reserved. Publications of the World Health Organization are available on the WHO web site (www.who.int) or can be
purchased from WHO Press, World Health Organization, 20 Avenue Appia, 1211 Geneva 27, Switzerland (tel.: +41 22 791 3264;
fax: +41 22 791 4857; e-mail: bookorders@who.int).
Requests for permission to reproduce or translate WHO publications – whether for sale or for noncommercial distribution –
should be addressed to WHO Press through the WHO web site (http://www.who.int/about/licensing/copyright_form/en/index.
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The designations employed and the presentation of the material in this publication do not imply the expression of any opinion
whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its
authorities, or concerning the delimitation of its frontiers or boundaries. Dotted lines on maps represent approximate border lines
for which there may not yet be full agreement.
The mention of specific companies or of certain manufacturers’ products does not imply that they are endorsed or recommended
by the World Health Organization in preference to others of a similar nature that are not mentioned. Errors and omissions excepted, the names of proprietary products are distinguished by initial capital letters.
All reasonable precautions have been taken by the World Health Organization to verify the information contained in this publication. However, the published material is being distributed without warranty of any kind, either expressed or implied. The
responsibility for the interpretation and use of the material lies with the reader. In no event shall the World Health Organization
be liable for damages arising from its use.
Original cover by WHO Graphics
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Printed in Italy.
2
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01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Table of Contents
Abbreviations7
Introduction8
Part I. Health-related Millennium Development Goals
11
Summary of status and trends
13
Regional and country charts
20
1. AARD (%) in under-five mortality rate, 1990–2011
2. Measles immunization coverage among 1-year-olds (%)
3. AARD (%) in maternal mortality ratio, 1990–2010
4. Births attended by skilled health personnel (%)
5. Antenatal care coverage (%): at least one visit and at least four visits
6. Unmet need for family planning (%)
7. AARD (%) in HIV prevalence, 2001–2011
8. Antiretroviral therapy coverage among people with advanced HIV infection (%)
9. Children aged < 5 years sleeping under insecticide-treated nets (%)
10. Children aged < 5 years with fever who received treatment with any antimalarial (%)
11. AARD (%) in tuberculosis mortality rate, 1990–2011
12. AARD (%) in proportion of population without access to improved drinking-water sources
13. AARD (%) in proportion of population without access to improved sanitation
22
23
24
25
26
27
28
29
30
31
32
33
34
Part II. Highlighted topics
35
Are efforts to meet the MDGs reducing health gaps between countries?
37
Official development assistance for health
40
Part III. Global health indicators
45
General notes
47
1. Life expectancy and mortality
49
Life expectancy at birth (years)
Life expectancy at age 60 (years)
Stillbirth rate (per 1000 total births)
Neonatal mortality rate (per 1000 live births)
Infant mortality rate (probability of dying by age 1 per 1000 live births)
Under-five mortality rate (probability of dying by age 5 per 1000 live births)
Adult mortality rate (probability of dying between 15 and 60 years of age per 1000 population)
3
2. Cause-specific mortality and morbidity
61
Mortality
Age-standardized mortality rates by cause (per 100 000 population)
Number of deaths among children aged < 5 years (000s)
Distribution of causes of death among children aged < 5 years (%)
Age-standardized adult mortality rate by cause (ages 30–70 per 100 000 population)
Maternal mortality ratio (per 100 000 live births)
Cause-specific mortality rate (per 100 000 population)
Morbidity
Incidence rate (per 100 000 population)
Prevalence (per 100 000 population)
3. Selected infectious diseases
83
Cholera
Diphtheria
H5N1 influenza
Japanese encephalitis
Leprosy
Malaria
Measles
Meningitis
Mumps
Pertussis
Plague
Poliomyelitis
Congenital rubella syndrome
Rubella
Neonatal tetanus
Total tetanus
Tuberculosis
Yellow fever
4. Health service coverage
94
Unmet need for family planning (%)
Contraceptive prevalence (%)
Antenatal care coverage (%)
Births attended by skilled health personnel (%)
Births by caesarean section (%)
Postnatal care visit within two days of childbirth (%)
Neonates protected at birth against neonatal tetanus (%)
Immunization coverage among 1-year-olds (%)
Children aged 6–59 months who received vitamin A supplementation (%)
Children aged < 5 years with ARI symptoms taken to a health facility (%)
Children aged < 5 years with ARI symptoms receiving antibiotics (%)
Children aged < 5 years with diarrhoea receiving ORT (ORS and/or RHF) (%)
Children aged < 5 years sleeping under insecticide-treated nets (%)
Children aged < 5 years with fever who received treatment with any antimalarial (%)
Pregnant women with HIV receiving antiretrovirals to prevent MTCT (%)
Antiretroviral therapy coverage among people with advanced HIV infection (%)
Case-detection rate for all forms of tuberculosis (%)
Treatment-success rate for smear-positive tuberculosis (%)
4
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
5. Risk factors
107
Population using improved drinking-water sources (%)
Population using improved sanitation (%)
Population using solid fuels (%)
Preterm birth rate (per 100 live births)
Infants exclusively breastfed for the first 6 months of life (%)
Children aged < 5 years who are wasted (%)
Children aged < 5 years who are stunted (%)
Children aged < 5 years who are underweight (%)
Children aged < 5 years who are overweight (%)
Prevalence of raised fasting blood glucose among adults aged ≥ 25 years (%)
Prevalence of raised blood pressure among adults aged ≥ 25 years (%)
Adults aged ≥ 20 years who are obese (%)
Alcohol consumption among adults aged ≥ 15 years (litres of pure alcohol per person per year)
Prevalence of smoking any tobacco product among adults aged ≥ 15 years (%)
Prevalence of current tobacco use among adolescents aged 13–15 years (%)
Prevalence of condom use by adults aged 15–49 years during higher-risk sex (%)
Population aged 15–24 years with comprehensive correct knowledge of HIV/AIDS (%)
6. Health systems
118
Health workforce
Physicians (per 10 000 population)
Nursing and midwifery personnel (per 10 000 population)
Dentists (per 10 000 population)
Pharmacists (per 10 000 population)
Environment and public health professionals (per 10 000 population)
Community health workers (per 10 000 population)
Psychiatrists (per 10 000 population)
Infrastructure and technologies
Hospitals (per 100 000 population)
Hospital beds (per 10 000 population)
Psychiatric beds (per 10 000 population)
Computed tomography units (per million population)
Radiotherapy units (per million population)
Essential medicines
Median availability of selected generic medicines in public and private sectors (%)
Median consumer price ratio of selected generic medicines in public and private sectors
5
7. Health expenditure
131
Health expenditure ratios
Total expenditure on health as a percentage of gross domestic product
General government expenditure on health as a percentage of total expenditure on health
Private expenditure on health as a percentage of total expenditure on health
General government expenditure on health as a percentage of total government expenditure
External resources for health as a percentage of total expenditure on health
Social security expenditure on health as a percentage of general government expenditure on health
Out-of-pocket expenditure as a percentage of private expenditure on health
Private prepaid plans as a percentage of private expenditure on health
Per capita health expenditures
Per capita total expenditure on health at average exchange rate (US$)
Per capita total expenditure on health (PPP int. $)
Per capita government expenditure on health at average exchange rate (US$)
Per capita government expenditure on health (PPP int. $)
8. Health inequities
143
Contraceptive prevalence: modern methods (%)
Antenatal care coverage: at least four visits (%)
Births attended by skilled health personnel (%)
DTP3 immunization coverage among 1-year-olds (%)
Children aged < 5 years who are stunted (%)
Under-five mortality rate (probability of dying by age 5 per 1000 live births)
9. Demographic and socioeconomic statistics
155
Total population (000s)
Median age of population (years)
Population aged < 15 years (%)
Population aged > 60 years (%)
Annual population growth rate (%)
Population living in urban areas (%)
Civil registration coverage (%) of births and causes of death
Crude birth rate (per 1000 population)
Crude death rate (per 1000 population)
Total fertility rate (per woman)
Adolescent fertility rate (per 1000 girls aged 15–19 years)
Literacy rate among adults aged ≥ 15 years (%)
Net primary school enrolment rate (%)
Gross national income per capita (PPP int. $)
Population living on < $1 (PPP int. $) a day (%)
Cellular phone subscribers (per 100 population)
Annex 1. Regional and income groupings
WHO regional groupings
Income groupings
166
166
167
6
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Abbreviations
AARD
AIDS
AFR
AMR
ARI
CPA
DAC
DAH
DHS
DTP3
EML
EMR
EUR
GDP
GHO
HAI
HepB3
Hib3
HIV
ICPD+5
ITU
JMP
MCV
MDG
MICS
MSH
MTCT
NGO
NHA
ODA
OECD
ORS
ORT
PPP
RHF
SEAR
UNDESA
UNESCO
UNICEF
WHA
WPR
average annual rate of decline
acquired immunodeficiency syndrome
WHO African Region
WHO Region of the Americas
acute respiratory infection
country programmable aid
Development Assistance Committee, OECD
Development Assistance for Health
Demographic and Health Survey
3 doses of diphtheria-tetanus-pertussis vaccine
essential medicines list
WHO Eastern Mediterranean Region
WHO European Region
gross domestic product
Global Health Observatory
Health Action International
3 doses of hepatitis B vaccine
3 doses of Haemophilus influenzae type B vaccine
human immunodeficiency virus
International Conference on Population and Development, five-year follow-up
United Nations International Telecommunication Union
WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation
measles-containing vaccine
Millennium Development Goal
Multiple Indicator Cluster Survey
Management Sciences for Health
mother-to-child transmission
nongovernmental organization
national health account
official development assistance
Organisation for Economic Cooperation and Development
oral rehydration salts
oral rehydration therapy
Purchasing Power Parity
recommended home fluid
WHO South-East Asia Region
United Nations Department of Economic and Social Affairs
United Nations Educational, Scientific and Cultural Organization
United Nations Children’s Fund
World Health Assembly
WHO Western Pacific Region
7
Introduction
The estimates given in this report are derived from multiple sources, depending on each indicator and on the
availability and quality of data. In many countries, statistical and health information systems are weak and the
underlying empirical data may not be available or may
be of poor quality. Every effort has been made to ensure
the best use of country-reported data – adjusted where
necessary to deal with missing values, to correct for
known biases, and to maximize the comparability of the
statistics across countries and over time. In addition,
statistical modelling and other techniques have been
used to fill data gaps.
The World Health Statistics series is WHO’s annual compilation of health-related data for its 194 Member States,
and includes a summary of the progress made towards
achieving the health-related Millennium Development
Goals (MDGs) and associated targets. This year, it also
includes highlight summaries on the topics of reducing
the health gaps between the world’s most-advantaged
and least-advantaged countries, and on current trends in
official development assistance (ODA) for health.
The series is produced by the WHO Department of
Health Statistics and Information Systems of the Health
Systems and Innovation Cluster. As in previous years,
World Health Statistics 2013 has been compiled using
publications and databases produced and maintained
by WHO technical programmes and regional offices. A
number of demographic and socioeconomic statistics
have also been derived from databases maintained by a
range of other organizations. These include the United
Nations International Telecommunication Union (ITU),
the United Nations Department of Economic and Social
Affairs (UNDESA), the United Nations Educational, Scientific and Cultural Organization (UNESCO), the United
Nations Children’s Fund (UNICEF) and the World Bank.
Because of the weakness of the underlying empirical
data in many countries, a number of the indicators presented here are associated with significant uncertainty.
It is WHO policy to ensure statistical transparency, and
to make available to users the methods of estimation
and the margins of uncertainty for relevant indicators.
However, to ensure readability while covering such a
comprehensive range of health topics, printed versions
of the World Health Statistics series do not include the
margins of uncertainty which are instead made available through online WHO databases such as the Global
Health Observatory.1
Indicators have been included on the basis of their
relevance to global public health; the availability and
quality of the data; and the reliability and comparability
of the resulting estimates. Taken together, these indicators provide a comprehensive summary of the current
status of national health and health systems in the following nine areas:
While every effort has been made to maximize the comparability of the statistics across countries and over time,
users are advised that country data may differ in terms
of the definitions, data-collection methods, population
coverage and estimation methods used. More-detailed
information on indicator metadata is available in the
WHO Indicator and Measurement Registry.2
■■ life expectancy and mortality
■■ cause-specific mortality and morbidity
WHO presents World Health Statistics 2013 as an integral part of its ongoing efforts to provide enhanced
■■ selected infectious diseases
■■ health service coverage
■■ risk factors
■■ health systems
1.
The Global Health Observatory (GHO) is WHO’s portal providing
access to data and analyses for monitoring the global health
situation. See: http://www.who.int/gho, accessed 10 March
2013.
2.
See:
http://apps.who.int/gho/indicatorregistry/App_Main/
browse_indicators.aspx, accessed 10 March 2013.
■■ health expenditure
■■ health inequities
■■ demographic and socioeconomic statistics
8
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
access to comparable high-quality statistics on core
measures of population health and national health systems. Unless otherwise stated, all estimates have been
cleared following consultation with Member States and
are published here as official WHO figures. However,
these best estimates have been derived using standard
categories and methods to enhance their cross-national
comparability. As a result, they should not be regarded
as the nationally endorsed statistics of Member States
which may have been derived using alternative methodologies.
9
10
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101010010
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101010010
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101010010
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Part I
Health-related Millennium
Development Goals
11
12
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
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2013
Summary of status and trends
More than a decade after world leaders adopted the
Millennium Development Goals (MDGs) and associated
targets substantial progress has been made in reducing
child and maternal mortality, improving nutrition, and
reducing morbidity and mortality due to HIV infection,
tuberculosis and malaria. Although progress has
accelerated in recent years in many countries with
the highest rates of mortality, large gaps persist both
among and within countries. Nevertheless, current
trends continue to provide a sound basis for intensified
collective action and the expansion of successful
approaches to overcome the challenges posed by
multiple crises and large inequalities.
Region has experienced the largest reduction as well as
the fastest acceleration of the decline in under-five mortality rates between 1990 and 2011 (Figure 1). Despite
these successes, it is also clear that the current rates
of decline remain insufficient to reach the global target
of a two thirds reduction in 1990 levels of mortality by
the year 2015.
At national level, 27 diverse countries have reached
the MDG target ahead of 2015, including five countries
that had very high child-mortality levels in 1990.3 This
suggests that rapid improvements are possible in a
range of settings that vary in terms of their geographical
characteristics, level of economic and social development, population size and epidemiological patterns.
Of the 10 countries that experienced the fastest acceleration in the reduction of child mortality, seven had
reversed the trend of an increasing under-five mortality
rate in the 1990s to a rapid decline in the past decade.
Globally, significant progress has been made in reducing levels of mortality among children under five years
of age. Between 1990 and 2011, under-five mortality
declined by 41% from an estimated rate of 87 to 51
deaths per 1000 live births. The global rate of decline
has also accelerated in the past decade, from 1.8% per
annum between 1990 and 2000 to 3.2% per annum
between 2000 and 2011. The WHO Western Pacific
3.
Countries with less than 500 000 population in 2011 were
excluded from the analysis.
Relative reduction in under-five mortality rate,
1990–2011 (%)
Figure 1. Relative rates of decline in under-five mortality rates, globally and by WHO region
70
Two thirds reduction (MDG target)
60
EUR
50
WPR
AMR
SEAR
40
EMR
Global
AFR
30
20
10
0
0.0
0.5
1.0
1.5
2.0
2.5
Difference in average annual rate of reduction, 1990–2000 and 2000–2011 (%)
13
3.0
3.5
Figure 2. Regional and global trends in maternal mortality ratio, 1990–2010
900
AFR
AMR
Maternal mortality ratio
(per 100 000 live births)
800
SEAR
700
EUR
600
EMR
WPR
500
Global
400
MDG target
300
200
100
0
1990
1995
2000
2005
In an estimated 35% of all deaths of children under five
years of age, under-nutrition4 is the underlying cause of
death. The proportion of underweight children in developing countries declined from 28% to 17% between
1990 and 2011. Although this rate of progress is close
to the rate required to meet the relevant target, significant variations persist between and within regions.
2015
achieved high levels of immunization coverage.
A substantial reduction in maternal deaths has previously been noted – from 543 000 deaths in 1990 to
an estimated 287 000 by 2010, with a global rate of
decline in the maternal mortality ratio of 3.1% per annum over the same period. Nevertheless, this rate of
decline would now need to double in order to achieve
the MDG target of reducing the maternal mortality ratio
by three quarters between 1990 and 2015. All six WHO
regions have seen a decline in the maternal mortality
ratio, but at different rates (Figure 2). The WHO African
Region remains the region with the highest maternal
mortality ratio. Approximately one quarter of countries
with the highest maternal mortality ratio in 1990 (100
or more maternal deaths per 100 000 live births) have
made insufficient progress or none.
The total number of neonatal deaths decreased from
4.4 million in 1990 to 3.0 million in 2011. Neonatal
mortality rates declined from 32 per 1000 live births to
22 per 1000 live births over the same period – a reduction of over 30%. This is a slower decline than for child
mortality overall, and the proportion of deaths in children under five years of age that occur in the neonatal
period increased from 36% in 1990 to 43% in 2011.
Prematurity is the leading cause of neonatal deaths and
is now the second leading cause of death in children
under five years.
In order to reduce maternal deaths, women need access to good-quality reproductive health services. In
2010, 63% of women aged 15–49 years who were
married or in a consensual union were using some form
of contraception. Although the proportion of women
receiving antenatal care at least once during pregnancy
was about 81% over the period 2005–2012, the figure
dropped to around 55% for the recommended minimum
of four visits or more. The proportion of births attended
by skilled personnel – crucial for reducing perinatal,
In 2011, global measles immunization coverage was
84% among children aged 12–23 months with 64% of
WHO Member States reaching at least 90% coverage.
Between 2000 and 2011, the estimated number of
measles deaths decreased by 71% as more countries
4.
2010
Including underweight, suboptimal breastfeeding, and vitamin
and mineral deficiencies.
14
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2013
led to 660 000 deaths in 2010. Country-level malaria
estimates available for 2010 show that approximately
80% of estimated cases occur in 17 countries with
80% of estimated malaria deaths occurring in just 14
countries. The coverage of interventions such as the
distribution of insecticide-treated nets and indoor residual spraying has greatly increased, and needs to be
sustained in order to prevent the resurgence of disease
and deaths.
neonatal and maternal deaths – was above 90% in
three of the six WHO regions for the period 2005–2012.
However, in the WHO African Region coverage remains
at under 50%.
About 16 million adolescent girls between 15 years and
19 years of age give birth each year. Babies born to
adolescent mothers account for approximately 11% of
all births worldwide – with 95% of such births occurring in developing countries. In low- and middle-income
countries, complications from pregnancy and childbirth
are a leading cause of death among adolescent girls in
this age group, and in 2008 there were an estimated
three million unsafe abortions carried out on such girls.
The adverse effects of adolescent childbearing also
extend to the health of the infants. Perinatal deaths are
50% higher among babies born to mothers under 20
years of age than among those born to mothers aged
20–29 years. The neonates of adolescent mothers are
also more likely to have a low birth weight, which may
result in a higher rate of long-term health risks.
The annual global number of new cases of tuberculosis has been slowly declining since 2006, and
between 2010 and 2011 the number of such cases
fell by 2.2%. Of the estimated 8.7 million new cases in
2011, about 13% involved people living with HIV. In all
six WHO regions the incidence of tuberculosis is falling
(Figure 3).5 For the four years up to and including 2010,
the global treatment-success rate has met or exceeded
the target of 85% first set by the World Health Assem5.
About half the world’s population is at risk of contracting
malaria, and an estimated 219 million cases of malaria
From: Global Tuberculosis Report 2012. Geneva, World Health
Organization, 2012. See: http://www.who.int/tb/publications/
global_report/. Shaded areas indicate uncertainty bands.
Figure 3. Estimated tuberculosis incidence rates by WHO region, 1990–2011
AFR
AMR
SEAR
per 100 000 population
400
300
200
100
0
1990
1995
2000
2005
2011
1990
1995
EUR
2000
2005
2011
1990
1995
EMR
2000
2005
2011
2005
2011
WPR
per 100 000 population
400
300
200
100
0
1990
1995
2000
2005
2011
1990
1995
2000
15
2005
2011
1990
1995
2000
bly in 1991. Mortality due to tuberculosis has also fallen
by 41% since 1990 and the world is on track to reach a
50% reduction by 2015.
1990 as the baseline year. Since 2000, the progress
made in achieving this target has been monitored biennially by the WHO/UNICEF Joint Monitoring Programme
(JMP) for Water Supply and Sanitation7 using two indicators disaggregated for urban and rural settings: (i)
the proportion of the population that uses an improved
source of drinking-water; and (ii) the proportion of the
population that uses an improved sanitation facility. On
the basis of these indicators, the JMP announced in
its 2012 progress report that the drinking-water target
had been met in 2010 when an estimated 89% of
the world’s population used an improved source of
drinking-water compared with 76% in 1990. Despite
this impressive progress, significant disparities remain
between regions (Figure 5). The coverage levels of at
least 90% recorded in four of the six WHO regions have
not yet been achieved in the WHO African Region and
the WHO Eastern Mediterranean Region. Based on the
current rate of progress, these two regions will fall short
of the 2015 target.
The 2011 global estimate of 34 million people living
with HIV represents an increase on previous years.
As access to antiretroviral therapy in low- and middleincome countries improves (8 million people in such
countries received treatment in 2011) it is expected that
the population living with HIV will continue to grow as
fewer people die from AIDS-related causes. In 2011,
an estimated 2.5 million people worldwide were newly
infected with HIV – over 20% less than the 3.2 million
people newly infected in 2001. During the same year,
an estimated 1.7 million people died from AIDS-related
causes worldwide – 24% less than in 2005. Approximately 69% of all those living with HIV are in sub-Saharan Africa with the same region accounting for 70% of
all deaths from AIDS-related causes in 2011 (Figure 4).
The term “neglected tropical diseases” refers to a
group of 17 diseases that affect more than one billion
people worldwide.6 Although these diseases rarely
cause outbreaks (with the exception of dengue and
leishmaniasis), they thrive in the poorest and most
marginalized communities, causing severe pain,
permanent disability and death to millions of people.
Some of these diseases are in decline. Dracunculiasis,
for example, is on the verge of eradication, and the reported number of new cases of the chronic form of human African trypanosomiasis (caused by Trypanosoma
brucei gambiense) fell by 76% between 1999 and
2011. However, the incidence of dengue has grown
dramatically around the world in recent decades. Current estimates suggest there may be 50–100 million
dengue infections worldwide every year.
Beyond the regional and national averages, an even
starker story unfolds when comparing the richest wealth
quintiles to the poorest wealth quintiles of households
in both urban and rural settings in unserved regions.
Analysis of data from 35 countries in sub-Saharan
Africa has shown that over 90% of the richest quintile
in urban areas uses improved drinking-water sources
compared with just over 60% of the poorest household
quintile. In rural areas, the situation is even worse with
such improved sources only available to one third of the
poorest households (Figure 6).8
With regard to basic sanitation, Figure 5 highlights the
ongoing slow rate of progress, with the present rate of
improvement unlikely to result in the MDG target being
met by 2015 globally. Even though almost 1.9 billion
people have gained access to improved sanitation
facilities since 1990, global coverage is currently estimated at just 64%. In 2011, more than one third of the
global population (2.5 billion people) still lacked access
to improved sanitation facilities.
MDG target 7.C calls for the proportion of the global
population without sustainable access to safe drinkingwater and basic sanitation to be halved by 2015 using
6.
The diseases concerned are: Buruli ulcer; Chagas disease;
cysticercosis; dengue; dracunculiasis; echinococcosis;
endemic treponematoses; foodborne trematode infections;
human African trypanosomiasis; leishmaniasis; leprosy;
lymphatic filariasis, onchocerciasis; rabies; schistosomiasis;
soil-transmitted helminthiases; and trachoma. The term “billion”
is used here and throughout this document to mean a thousand
million (109).
16
7.
See: http://www.wssinfo.org/about-the-jmp/introduction/
8.
The Millennium Development Goals Report 2012. New
York, United Nations, 2012. See: http://www.un.org/en/
development/desa/publications/mdg-report-2012.html.
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2013
Figure 4. Number of people living with HIV and number of deaths due to AIDS by WHO region, 2011
EUR
2300
EMR WPR
560 1300
EUR
99
SEAR
3500
EMR
38
WPR
80
SEAR
230
AMR
3000
AMR
85
AFR
1200
AFR
23 000
People living with HIV (000s)
Deaths due to AIDS (000s)
Figure 5. Proportion of population with access to improved drinking-water sources and improved sanitation,
1990–2011
100
90
Global water target
80
Global sanitation target
70
(%)
60
50
Water
2011
1990
40
30
20
Sanitation
2011
1990
10
0
AFR
AMR
SEAR
EUR
EMR
WPR
Global
Figure 6. Proportion of population using improved drinking-water sources by wealth quintile – urban and rural
residence, sub-Saharan Africa
■ Urban
100
90
80
70
(%)
60
50
40
30
20
10
0
Poorest
20%
Second
20%
Middle
20%
17
Fourth
20%
Richest
20%
■ Rural
Many people continue to face a scarcity of medicines
in the public sector, forcing them to the private sector
where prices can be substantially higher. Surveys
undertaken from 2007 to 2012 indicated that the
average availability of selected generic medicines in the
public sector in low- and middle-income countries was
only 57%. The price to patients of the lowest-priced
generics in the private sector averaged five times the
international reference prices, ranging up to about 16
times higher in some countries. Even the cost of the
lowest-priced generics can put common treatments
beyond the reach of low-income households in
developing countries. The greatest price is paid by
patients suffering chronic diseases. Even though
effective treatments exist for the majority of conditions
contributing to the global burden of chronic disease,
universal access remains out of reach.
Given the very short time which now remains before
the end of 2015, it is becoming ever more apparent
that, despite the significant progress made, much will
need to be done if the health-related MDGs are to be
achieved. At the same time, great efforts will also be
needed well beyond 2015 as the world faces up to the
new challenges to be faced in sustaining and measuring
meaningful progress, for example in the areas of ensuring access to safe drinking-water and basic sanitation
(Box 1).
18
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2013
Box 1: Gearing up for the post-2015 challenges – drinking-water
and basic sanitation
The original indicator for drinking-water quality used
by the JMP on the recommendation of the United
Nations General Assembly was the only globally
viable proxy indicator available when MDG monitoring
started. It was assumed that the application of the
technology-based definition of “improved sources”
of drinking-water directly implied a high probability of
good drinking-water quality. Testing drinking-water
quality more directly in a way that was in line with JMP
methods and procedures for collecting data through
nationally representative household surveys was not a
feasible option. Even today, the option of measuring
drinking-water quality in the context of household
surveys is only beginning to emerge.
of global sanitation monitoring remains the assessment
of “shared” sanitation – defined as improved sanitation
that is shared between households. In many countries,
a trend towards shared sanitation has accelerated
rapidly, especially in urban areas. However, while
shared sanitation offers governments an efficient way
of expanding basic sanitation coverage levels, there
are no clear criteria to distinguish between shared
and public sanitation; with the latter considered to be
unimproved. This issue is high on the JMP agenda
and is currently the subject of a research programme.
This programme will directly address the question
of whether shared sanitation is indeed equivalent to
improved sanitation facilities for individual households
in terms of limiting the level of health risk, and will
identify the health-risk criteria needed to effectively
distinguish it from public sanitation.
The resulting lack of correlation between the target
(“safe” drinking-water) and the indicator (improved
sources) was investigated through JMP pilot studies
in five countries in 2004–2006.9 Rapid assessments
of drinking-water quality showed that the improved
sources studied varied in the degree to which they
accorded with WHO guidance in relation to microbial
and chemical contamination,10 and seldom achieved
100% accordance. As a result, improved sources
cannot be equated with safe and clean drinking-water.
In view of these realities, WHO and UNICEF have
provided a platform, through the JMP, to develop
evidence-based drinking-water, sanitation and hygiene
targets and indicators as a contribution towards work
on the post-2015 development agenda.11 Through
consultative efforts, a post-2015 global monitoring
framework is being developed. Building on existing
monitoring systems, this framework will bring on board
human-rights considerations, extend monitoring beyond
households (for example, to schools and health-care
centres), and will consider not only basic access but
also the attainment of higher service levels – all with a
view to realize the vision of universal coverage.
The unrelenting lack of sufficient progress in relation to
access to basic sanitation has stimulated a renewed
focus on this issue. Recent initiatives include the
“Sustainable Sanitation: five-year drive to 2015”
officially launched by the Secretary-General of the
United Nations in June 2011. A vitally important aspect
91011
9.
See: http://www.wssinfo.org/water-quality/introduction/
10.
Guidelines for drinking-water quality. Fourth edition. Geneva,
World Health Organization, 2011. See: http://www.who.int/
water_sanitation_health/publications/2011/dwq_guidelines/
en/
11.
See: http://www.wssinfo.org/post-2015-monitoring/overview
19
Regional and country charts
Following the global and WHO regional summary shown in Figure 7, charts 1–13 provide country-bycountry summaries12 of national trends in MDG indicators for which data are available.
Depending on the availability of data for each indicator, there are two types of chart:
Chart type I
For six indicators – under-five mortality rate; maternal mortality ratio; HIV prevalence; tuberculosis
mortality rate; population without access to improved drinking-water sources; and population without
access to improved sanitation – the charts show the average annual rate of decline (AARD) since 1990
up to the latest available year (or for the year range indicated), and the overall AARD required for the
country to achieve the relevant MDG by 2015. The country figures show data for the latest available
year.
Chart type II
For seven indicators – measles immunization coverage among 1-year-olds; births attended by skilled
health personnel; antenatal care coverage; unmet need for family planning; antiretroviral therapy coverage among people with advanced HIV infection; children aged < 5 years sleeping under insecticidetreated nets; and children aged < 5 years with fever who received treatment with any antimalarial – the
charts show only data for the latest available year, along with an indication of a WHO or partner agency
target.
... indicates data not available or not applicable.
Further details can be found in the country tables shown in Part III as indicated below each chart.
12.
South Sudan became an independent state in July 2011 and a WHO Member State in September 2011. As the
reported data shown here concern time periods before and after 2011, the term “Sudan (former)” refers to the state
as it existed prior to July 2011 and is listed among the Member States.
20
Figure 7. Global and WHO Regional progress toward the achievement of health-related MDGs
Target 1.C Halve, between 1990 and 2015, the proportion
of people who suffer from hunger
Global
AFR
AMR
SEAR
EUR
EMR
Target 6.A Have halted by 2015 and begun to reverse the
spread of HIV/AIDS
WPR
Global
AFR
AMR
SEAR
EUR
EMR
AARD (%) in
proportion of
underweight
children
under-five
years of age
AARD
(%) in HIV
prevalence
Target 4.A Reduce by two-thirds, between 1990 and
2015, the under-five mortality rate
Target 6.B Achieve, by 2010, universal access to
treatment for HIV/AIDS for all those who need it
Global
AFR
AMR
SEAR
EUR
EMR
WPR
Global
AFR
AMR
SEAR
EUR
EMR
WPR
WPR
Antiretroviral
therapy
coverage
among people
with advanced
HIV infection
(%)
AARD (%) in
under five
mortality rate
Target 6.C Have halted by 2015 and begun to reverse the
incidence of malaria and other major diseases
Measles
immunization
coverage
among
1-year-olds
(%)
Global
AFR
AMR
SEAR
EUR
EMR
AMR
SEAR
EUR
EMR
WPR
AARD (%) in
incidence of
malaria
Target 5.A Reduce by three quarters, between 1990 and
2015, the maternal mortality ratio
Global
AFR
WPR
AARD (%)
in mortality
rate of
tuberculosis
AARD (%)
in maternal
mortality ratio
Target 7.C Halve, by 2015, the proportion of people
without sustainable access to safe drinking-water
AARD (%) in
proportion of
population
without
access to
improved
drinking-water
sources
Births
attended by
skilled health
personnel (%)
Target 5.B Achieve, by 2015, universal access to
reproductive health
Global
AFR
AMR
SEAR
EUR
EMR
WPR
Global
AFR
AMR
SEAR
EUR
EMR
WPR
AARD (%) in
proportion of
population
without
access to
1improved
sanitation
Antenatal care
coverage (%):
at least one
visit
Key
■ On track ■ Insufficient progress
Grey horizontal lines indicate either the MDG (where available) or relevant WHO or partner
agency target. For more details, see the relevant country charts. For the AARD (%) in
proportion of underweight children under five years of age (1990–2011) and the AARD
(%) in the incidence of malaria (2000–2010), see Part III, Table 5 and the World Malaria
Report 2011 respectively for more details.
Met need
for family
planning (%)
21
1I1I
ARD
A
AARD
(%)(%)
in under-five
in under-five
mortality
mortality
rate,
rate,
1990–2010
1990–2011
AFR
AMR
EUR
EMR
Liberia
78
Peru
18
San Marino
2
Oman
Rwanda
54
El Salvador
15
Estonia
4
Saudi Arabia
9
9
Malawi
83
Saint Kitts and Nevis
7
Turkey
15
Egypt
21
Cape Verde
21
Brazil
16
Portugal
3
Lebanon
9
62
8
7
United Arab Emirates
Madagascar
Antigua and Barbuda
Serbia
7
The former Yugoslav Republic of Macedonia
10
Tunisia
16
Ethiopia
16
77
Mexico
16
Slovenia
3
Libya
Niger 125
Belize
17
Czech Republic
4
Qatar
8
United Republic of Tanzania
68
Nicaragua
26
Cyprus
3
Morocco
33
Zambia
83
Honduras
21
Belarus
6
Iran (Islamic Republic of)
25
30
Lithuania
6
Syrian Arab Republic
15
Romania
13
Bahrain
10
Poland
6
Afghanistan 101
Hungary
6
South Sudan 121
Greece
4
Jordan
21
72
30
Guatemala
Mozambique 103
Bolivia (Plurinational State of)
65
Dominican Republic
25
Botswana
26
Paraguay
22
Eritrea
68
Ecuador
23
Albania
14
Pakistan
Cuba
6
Norway
3
Yemen
77
Uruguay
10
Armenia
18
Kuwait
11
Chile
9
Israel
4
Sudan
86
15
Luxembourg
3
Djibouti
90
Italy
4
Iraq
38
Spain
4
Somalia 180
Algeria
Senegal
Uganda
90
Guinea 126
Namibia
42
Nigeria 124
Venezuela (Bolivarian Republic of)
Haiti
Benin 106
Gambia 101
Equatorial Guinea 118
Mauritius
15
Ghana
78
Angola 158
Comoros
79
Mali 176
Sierra Leone 185
Gabon
47
14
Colombia
18
Jamaica
18
Suriname
Guyana
…
8
Lao People's Democratic Republic
42
7
Mongolia
31
Bosnia and Herzegovina
8
China
15
Sweden
3
Vanuatu
13
Denmark
4
Singapore
3
Belgium
4
Cambodia
43
5
3
Andorra
3
30
Latvia
36
Montenegro
Panama
20
Costa Rica
10
Grenada
13
6
Finland
3
Malaysia
7
Kyrgyzstan
31
Viet Nam
22
25
Dominica
12
Russian Federation
12
Philippines
16
Georgia
21
Australia
5
Bahamas
16
Slovakia
8
Cook Islands
10
Trinidad and Tobago
28
21
Barbados
20
Burundi 139
Guinea-Bissau 161
SEAR
Ireland
4
Austria
4
Republic of Moldova
16
France
4
Germany
4
Azerbaijan
45
Seychelles
14
Maldives
11
Congo
99
Timor-Leste
54
67
Bangladesh
46
Thailand
12
Nepal
48
Malta
Bhutan
54
Switzerland
Indonesia
32
Bulgaria
Sri Lanka
12
Central African Republic 164
Tajikistan
India
61
86
Myanmar
62
Swaziland 104
Democratic People's Republic of Korea
33
Zimbabwe
Cameroon 127
Mauritania 112
Democratic Republic of the Congo 168
Sao Tome and Principe
Lesotho
89
WPR
Saint Lucia
Saint Vincent and the Grenadines
Chad 169
Sudan (former)
Croatia
Iceland
8
73
Côte d'Ivoire 115
Argentina
Canada
Togo 110
South Africa
70
United States of America
66
Burkina Faso 146
Kenya
51
Netherlands
4
Kazakhstan
28
Monaco
4
Marshall Islands
26
Solomon Islands
22
Tuvalu
30
Japan
3
New Zealand
6
Kiribati
47
Fiji
16
Palau
19
Brunei Darussalam
7
Tonga
15
4
Samoa
19
12
Republic of Korea
5
63
Papua New Guinea
58
United Kingdom
5
Micronesia (Federated States of)
42
Turkmenistan
53
Nauru
40
Uzbekistan
49
Niue
21
Ukraine
10
6
The under-five mortality rate is defined as the probability of dying by age 5 expressed as the total number of such deaths per 1000 live births. Within each WHO region, countries are
sorted in descending order based on the AARD in this rate.
In order to reach the MDG target of reducing by two thirds the under-five mortality rate between 1990 and 2015, an AARD of 4.3% is needed and this is denoted by the vertical line. The
numerical values show the estimated under-five mortality rate in each country in 2011. For countries with low levels of under-five mortality, the target AARD may not be applicable.
Further details may be found in Part III, Table 1.
22
2I
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
Measles immunization coverage
among 1-year-olds (%)
AFR
AMR
2013
EUR
EMR
Eritrea
Antigua and Barbuda
Albania
Bahrain
Mauritius
Cuba
Andorra
Iran (Islamic Republic of)
Seychelles
Dominica
Belarus
Kuwait
Germany
Oman
Swaziland
Honduras
Cape Verde
Nicaragua
Malawi
Saint Kitts and Nevis
Algeria
Saint Vincent and the Grenadines
Belize
Rwanda
Canada
Botswana
United Republic of Tanzania
Burundi
Zimbabwe
Gambia
Kazakhstan
Libya
Latvia
Saudi Arabia
Monaco
Egypt
Turkmenistan
Tunisia
Uzbekistan
Morocco
Czech Republic
United Arab Emirates
Mexico
Israel
Sudan
Brazil
Poland
Djibouti
Grenada
Congo
Jordan
Guyana
Peru
Sao Tome and Principe
Qatar
Hungary
Ecuador
Panama
Ghana
Greece
Russian Federation
Pakistan
Slovakia
Syrian Arab Republic
Tajikistan
Lebanon
The former Yugoslav Republic of Macedonia
Iraq
Armenia
Yemen
Saint Lucia
Angola
Uruguay
Finland
Kenya
South Sudan
Argentina
Kyrgyzstan
Lesotho
Afghanistan
Barbados
Turkey
Somalia
Zambia
Paraguay
Croatia
Sudan (former)
Mozambique
Trinidad and Tobago
Luxembourg
Senegal
Chile
Netherlands
Sierra Leone
Bahamas
South Africa
United States of America
Cameroon
El Salvador
Sweden
Belgium
Bulgaria
Colombia
Niger
Serbia
Jamaica
Uganda
Slovenia
Guatemala
Spain
Venezuela (Bolivarian Republic of)
Estonia
Namibia
Benin
Portugal
Suriname
Georgia
Bolivia (Plurinational State of)
Lithuania
Costa Rica
Iceland
Comoros
Democratic Republic of the Congo
Nigeria
Norway
Dominican Republic
Madagascar
Romania
Haiti
Ireland
Mauritania
SEAR
Togo
Burkina Faso
Switzerland
Montenegro
Democratic People's Republic of Korea
Central African Republic
Myanmar
Guinea-Bissau
Sri Lanka
Guinea
Thailand
Republic of Moldova
WPR
China
Nauru
Niue
Republic of Korea
Tonga
Mongolia
Tuvalu
Marshall Islands
Viet Nam
Malaysia
Singapore
Australia
Fiji
Japan
Cambodia
New Zealand
Italy
Micronesia (Federated States of)
United Kingdom
Brunei Darussalam
Bosnia and Herzegovina
Kiribati
Cook Islands
Ethiopia
Bangladesh
France
Mali
Maldives
Cyprus
Palau
Denmark
Philippines
Gabon
Bhutan
Equatorial Guinea
Indonesia
Côte d'Ivoire
Nepal
Austria
Samoa
Liberia
India
Azerbaijan
Papua New Guinea
Chad
Timor-Leste
Ukraine
Vanuatu
Malta
Solomon Islands
San Marino
Lao People's Democratic Republic
This chart shows the percentage of 1-year-olds fully immunized against measles. Within each WHO region, countries are sorted by the 2011 level.
The vertical line denotes the target of 90% coverage by 2015 set at the 2010 World Health Assembly.
Further details may be found in Part III, Table 4.
23
...
3I
AARD (%) in maternal mortality ratio,
1990–2010
AFR
AMR
EUR
EMR
Equatorial Guinea
240
Peru
67
Estonia
2
Iran (Islamic Republic of)
21
Eritrea
240
Bolivia (Plurinational State of)
190
Belarus
4
Oman
32
Ethiopia
350
Barbados
51
Romania
27
Egypt
66
Lithuania
8
Syrian Arab Republic
70
Poland
5
Yemen
200
Turkey
20
Morocco
100
Italy
4
Afghanistan
460
Czech Republic
5
Tunisia
56
Austria
4
Qatar
7
25
25
Rwanda
340
Chile
Madagascar
240
Honduras
100
Brazil
56
Trinidad and Tobago
46
El Salvador
81
Saint Lucia
35
Slovakia
6
Lebanon
Mexico
50
Bosnia and Herzegovina
8
United Arab Emirates
12
Colombia
92
Greece
3
Pakistan
260
Nicaragua
95
Russian Federation
34
Saudi Arabia
24
Haiti
350
Bulgaria
11
Jordan
63
Ecuador
110
Uzbekistan
28
Libya
58
Portugal
8
Djibouti
200
Serbia
12
Iraq
63
Kazakhstan
51
Sudan (former)
730
20
Angola
450
Cape Verde
79
Malawi
460
Burkina Faso
300
Algeria
97
Benin
350
Sao Tome and Principe
70
Niger
590
Togo
300
Mali
540
Dominican Republic
150
Grenada
24
Guinea
610
Guatemala
120
Gambia
360
Uruguay
29
Netherlands
6
Bahrain
Albania
27
Somalia 1000
Israel
7
Kuwait
14
…
…
Uganda
310
Belize
53
United Republic of Tanzania
460
Saint Vincent and the Grenadines
48
Germany
7
South Sudan
Mozambique
490
Paraguay
99
Cyprus
10
Sudan
Senegal
370
Panama
92
Malta
8
Côte d'Ivoire
400
Bahamas
47
Latvia
34
The former Yugoslav Republic of Macedonia
10
Viet Nam
59
Armenia
30
Lao People's Democratic Republic
470
Democratic Republic of the Congo
540
Venezuela (Bolivarian Republic of)
92
Nigeria
630
Costa Rica
40
Ghana
350
Argentina
77
Cuba
73
Guyana
280
Liberia
770
Comoros
280
Mauritania
510
Sierra Leone
890
Guinea-Bissau
Burundi
Suriname
Gabon
230
Mauritius
60
8
32
Republic of Moldova
41
Sweden
4
Tajikistan
65
United States of America
21
Iceland
5
Jamaica
110
Finland
5
Canada
12
Belgium
8
Antigua and Barbuda
...
Norway
7
Dominica
...
790
800
130
France
Ukraine
Azerbaijan
43
Turkmenistan
67
360
Spain
6
Zambia
440
Ireland
6
Central African Republic
890
Namibia
200
Cameroon
690
Swaziland
320
Botswana
160
Kenya
Saint Kitts and Nevis
...
SEAR
Montenegro
Maldives
60
Hungary
21
Bhutan
180
Kyrgyzstan
71
170
Denmark
12
Georgia
67
Slovenia
Nepal
Timor-Leste
300
Bangladesh
240
Chad 1100
India
200
620
Indonesia
220
Myanmar
200
Lesotho
8
Switzerland
WPR
China
37
Cambodia
250
Samoa
100
Japan
5
Vanuatu
110
Mongolia
63
Malaysia
29
Philippines
99
Papua New Guinea
230
Singapore
3
Solomon Islands
93
Micronesia (Federated States of)
100
Australia
7
Fiji
26
Brunei Darussalam
24
New Zealand
15
Republic of Korea
16
12
Tonga
110
8
Cook Islands
...
...
12
Kiribati
Croatia
17
Marshall Islands
...
Luxembourg
20
Nauru
...
United Kingdom
South Africa
300
Zimbabwe
570
Sri Lanka
35
Andorra
...
Niue
...
Congo
560
Democratic People's Republic of Korea
81
Monaco
...
Palau
...
Seychelles
...
Thailand
48
San Marino
...
Tuvalu
...
The maternal mortality ratio is defined as the number of maternal deaths per 100 000 live births. Within each WHO region, countries are sorted in descending order based on the AARD in
this ratio. Unrounded values have been used to calculate the AARD.
In order to reach the MDG target of reducing the maternal mortality ratio by three quarters between 1990 and 2015, an AARD of 5.5% is needed and this is denoted by the vertical line.
The numerical values show the estimated maternal mortality ratio for 2010. For countries with low levels of maternal mortality, the target AARD may not be applicable.
Further details may be found in Part III, Table 2.
24
4I
Births attended by
skilled health personnel (%)
AFR
AMR
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
EUR
EMR
Mauritius
Antigua and Barbuda
Armenia
Qatar
Botswana
Barbados
Belarus
Saudi Arabia
Seychelles
Chile
Bosnia and Herzegovina
United Arab Emirates
Algeria
Cuba
Croatia
Jordan
Czech Republic
Dominica
Congo
Benin
Democratic Republic of the Congo
Cape Verde
Malawi
Bahrain
Montenegro
Argentina
Sao Tome and Principe
Libya
Malta
Uruguay
Namibia
Oman
Italy
Saint Kitts and Nevis
Swaziland
Kuwait
Ireland
Grenada
Iran (Islamic Republic of)
Poland
Syrian Arab Republic
Bahamas
Republic of Moldova
Brazil
Russian Federation
Canada
Serbia
Iraq
Egypt
Tunisia
Colombia
Slovakia
Saint Lucia
Slovenia
Djibouti
Burkina Faso
Saint Vincent and the Grenadines
The former Yugoslav Republic of Macedonia
Morocco
Zimbabwe
United States of America
Rwanda
Turkmenistan
Pakistan
Uzbekistan
Afghanistan
Senegal
Jamaica
Cameroon
Venezuela (Bolivarian Republic of)
Lesotho
Trinidad and Tobago
Sierra Leone
Costa Rica
Burundi
Dominican Republic
Denmark
Mexico
Estonia
Côte d'Ivoire
Uganda
Mauritania
Gambia
Ghana
Albania
Belgium
Belize
Finland
Ecuador
Germany
Panama
Hungary
Guyana
Kazakhstan
El Salvador
Angola
Paraguay
Mali
Fiji
Romania
Micronesia (Federated States of)
Guinea
Honduras
Liberia
Guatemala
Turkey
Guinea-Bissau
Haiti
Azerbaijan
Singapore
Kyrgyzstan
Australia
Georgia
Malaysia
Mongolia
Tonga
Tajikistan
Kiribati
Andorra …
Madagascar
Democratic People's Republic of Korea
Greece …
Sri Lanka
Iceland …
Ethiopia
Republic of Korea
France
SEAR
Chad
Niue
Palau
Cyprus
Nicaragua
Niger
Cook Islands
Japan
Bolivia (Plurinational State of)
Nigeria
WPR
Norway
Zambia
Central African Republic
Sudan …
Sudan (former) …
Latvia
United Republic of Tanzania
Togo
Lebanon …
South Sudan …
Ukraine
Peru
Kenya
Somalia
Bulgaria
Suriname
Mozambique
Yemen
Austria
Monaco …
Myanmar
Netherlands …
India
Eritrea …
Nepal
Viet Nam
Luxembourg …
Indonesia
Equatorial Guinea …
Tuvalu
Lithuania …
Maldives
Bhutan
China
New Zealand
Israel …
Thailand
Comoros …
Nauru
Marshall Islands
Samoa
Vanuatu
Portugal …
Cambodia
San Marino …
Solomon Islands
Spain …
Philippines
Sweden …
Papua New Guinea
Gabon …
Bangladesh
Switzerland …
Lao People's Democratic Republic
South Africa …
Timor-Leste
United Kingdom …
Brunei Darussalam
This chart shows the percentage of births attended by skilled health personnel. Within each WHO region, countries are sorted by the latest available data since 2005.
The vertical line denotes the global target of 90% coverage by 2015 set by the International Conference on Population and Development (ICPD+5).
Further details may be found in Part III, Table 4.
25
5I
Antenatal care coverage (%):
at least one visit and at least four visits
AFR
AMR
EUR
EMR
Burundi
Antigua and Barbuda
France
Bahrain
Rwanda
Barbados
Ireland
United Arab Emirates
Sao Tome and Principe
Canada
Armenia
Jordan
Gambia
Cuba
Belarus
Swaziland
Uganda
Botswana
Zambia
Congo
Libya
Ukraine
Belize
Namibia
Tunisia
Turkmenistan
Saint Vincent and the Grenadines
Malawi
Saudi Arabia
Serbia
Saint Kitts and Nevis
Cape Verde
Iran (Islamic Republic of)
Cyprus
Grenada
Burkina Faso
Oman
Bosnia and Herzegovina
Dominica
Qatar
Uzbekistan
Costa Rica
Czech Republic
Jamaica
Georgia
Syrian Arab Republic
Iraq
Saint Lucia
Italy
Djibouti
Bahamas
Kazakhstan
Morocco
Brazil
Republic of Moldova
Egypt
Guinea-Bissau
Colombia
Albania
Pakistan
Senegal
Dominican Republic
Kenya
Mexico
Lesotho
Panama
Côte d'Ivoire
Paraguay
Mozambique
Uruguay
Sierra Leone
Peru
Democratic Republic of the Congo
Guinea
United Republic of Tanzania
Ghana
Benin
Azerbaijan
…
…
Nicaragua
Bulgaria
…
Brunei Darussalam
Suriname
Croatia
…
Cook Islands
Denmark
…
Mali
Venezuela (Bolivarian Republic of)
Angola
Chile
…
…
Greece
…
Hungary
…
Iceland
…
Israel
…
Lithuania
…
Luxembourg
…
…
…
Democratic People's Republic of Korea
Netherlands
…
Maldives
Norway
…
Thailand
…
…
Malta
Sri Lanka
Equatorial Guinea
Finland
Germany
Monaco
SEAR
Nigeria
…
…
Austria
United States of America
Comoros
…
Sudan (former)
Belgium
Mauritania
Ethiopia
…
Sudan
Argentina
Honduras
Chad
…
South Sudan
Guatemala
Liberia
Niger
…
…
Ecuador
Central African Republic
Kuwait
Lebanon
Andorra
Haiti
Togo
Somalia
Tajikistan
Guyana
Cameroon
Montenegro
Turkey
Bolivia (Plurinational State of)
Madagascar
Afghanistan
The former Yugoslav Republic of Macedonia
El Salvador
Algeria
Yemen
Latvia
Estonia
Trinidad and Tobago
Zimbabwe
Kyrgyzstan
Poland
…
Portugal
…
WPR
Fiji
Kiribati
Niue
Republic of Korea
Singapore
Mongolia
Tonga
Australia
China
Nauru
Viet Nam
Samoa
Tuvalu
Philippines
Palau
Cambodia
Romania
…
Indonesia
Russian Federation
…
Timor-Leste
San Marino
…
Marshall Islands
Slovakia
…
Solomon Islands
Slovenia
…
Lao People's Democratic Republic
Spain
…
Papua New Guinea
Sweden
…
Vanuatu
Malaysia
Eritrea
…
Myanmar
Gabon
…
India
Mauritius
…
Bhutan
Japan
…
Seychelles
…
Nepal
Switzerland
…
Micronesia (Federated States of)
…
South Africa
…
Bangladesh
United Kingdom
…
New Zealand
…
This chart shows the percentage of women who received antenatal care from skilled health personnel at least once and at least four times during pregnancy.
Within each WHO region, countries are sorted by the latest available data since 2005 for at least one visit.
The vertical line denotes the global target of 100% coverage by 2015 set by the International Conference on Population and Development (ICPD+5).
Further details may be found in Part III, Table 4.
26
At least one visit
At least four visits
6I
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
Unmet need for
family planning (%)
AFR
2013
AMR
EUR
EMR
Swaziland
Paraguay
France
Egypt
Niger
Brazil
Turkey
Jordan
Zimbabwe
Peru
United States of America
Cape Verde
Colombia
Madagascar
Honduras
Lesotho
Democratic Republic of the Congo
Djibouti …
Iran (Islamic Republic of) …
Iraq …
Kuwait …
Armenia
Lebanon …
Andorra …
Bolivia (Plurinational State of)
Guinea
Bahrain …
Georgia
Mexico
Congo
Namibia
Republic of Moldova
Azerbaijan
Dominican Republic
Rwanda
Pakistan
Afghanistan …
Albania
Nicaragua
Nigeria
Serbia
Ukraine
Libya …
Austria …
Guyana
Belarus …
Haiti
Belgium …
Antigua and Barbuda …
Bosnia and Herzegovina …
Morocco …
Oman …
Qatar …
Saudi Arabia …
Ethiopia
Argentina …
Bulgaria …
Somalia …
United Republic of Tanzania
Bahamas …
Croatia …
South Sudan …
Kenya
Barbados …
Cyprus …
Sudan …
Czech Republic …
Sudan (former) …
Denmark …
Syrian Arab Republic …
Malawi
Belize …
Benin
Canada …
Zambia
Chile …
Mali
Costa Rica …
Sierra Leone
Cuba …
Greece …
Dominica …
Hungary …
Ecuador …
Iceland …
El Salvador …
Ireland …
Grenada …
Israel …
Guatemala …
Italy …
Togo
Senegal
Ghana
Liberia
Sao Tome and Principe
Botswana …
Saint Vincent and the Grenadines …
Suriname …
Yemen …
Lithuania …
Saint Lucia …
Burkina Faso …
Germany …
Latvia …
Saint Kitts and Nevis …
Angola …
United Arab Emirates …
Kyrgyzstan …
Panama …
Algeria …
Tunisia …
Finland …
Kazakhstan …
Jamaica …
Uganda
Estonia …
Luxembourg …
WPR
Viet Nam
Marshall Islands
Solomon Islands
Mongolia
Philippines
Cambodia
Tuvalu
Lao People's Democratic Republic
Malta …
Samoa
Monaco …
Australia …
Brunei Darussalam …
Burundi …
Trinidad and Tobago …
Montenegro …
Cameroon …
Uruguay …
Netherlands …
China …
Central African Republic …
Venezuela (Bolivarian Republic of) …
Norway …
Cook Islands …
Chad …
SEAR
Comoros …
Côte d'Ivoire …
Equatorial Guinea …
Thailand
Romania …
Russian Federation …
San Marino …
Slovakia …
Bhutan
Gabon …
Slovenia …
Indonesia
Gambia …
Spain …
India
Guinea-Bissau …
Sweden …
Switzerland …
Nepal
Mauritania …
Fiji …
Japan …
Sri Lanka
Bangladesh
Eritrea …
Poland …
Portugal …
Mauritius …
Maldives
Mozambique …
Timor-Leste
Tajikistan …
Kiribati …
Malaysia …
Micronesia (Federated States of) …
Nauru …
New Zealand …
Niue …
Palau …
Papua New Guinea …
The former Yugoslav Republic of Macedonia …
Republic of Korea …
Turkmenistan …
Singapore …
Seychelles …
Democratic People's Republic of Korea …
United Kingdom …
Tonga …
South Africa …
Myanmar …
Uzbekistan …
Vanuatu …
This chart shows the percentage of women who are fecund and sexually active but want to stop or delay childbearing and are not using any method of contraception. Within each WHO
region, countries are sorted by the latest available data since 2005.
Achieving the MDG target of universal access to reproductive health by 2015 can be interpreted as 0% unmet need. The vertical line corresponds to 0% with the percentage of unmet
need shown to the left of this line with a range of 50%.
Further details may be found in Part III, Table 4.
27
7I
AARD (%) in HIV prevalence,
2001–2011
AFR
AMR
EUR
EMR
Burundi
932
Suriname
651
Ukraine
519
Djibouti 1 011
Liberia
608
Bolivia (Plurinational State of)
164
Armenia
115
Somalia
367
Côte d'Ivoire 1 778
Panama
494
Romania
74
Sudan
202
814
Spain
320
Egypt
12
Italy
249
Iran (Islamic Republic of)
129
Serbia
36
Burkina Faso
Guyana
695
Dominican Republic
Central African Republic 2 804
Zimbabwe 9 688
Eritrea
Peru
Rwanda 1 909
907
Benin
707
Mali
670
Malta
Jamaica 1 095
423
Ghana
440
Haiti 1 145
250
Bahamas 1 860
Ecuador
Kenya 3 880
Malawi 5 904
237
63
Sweden
96
Hungary
41
Greece
96
Israel
113
Colombia
326
France
255
Uruguay
357
Luxembourg
171
Chile
293
Netherlands
Belize 1 444
United Republic of Tanzania 3 383
Mexico
156
Congo 2 011
Barbados
508
Zambia 7 204
Trinidad and Tobago
991
Yemen
87
Lebanon
67
Afghanistan
18
Morocco
98
Tunisia
16
Pakistan
72
Bahrain
…
Iraq
…
Jordan
150
…
Kuwait
…
Norway
91
Libya
…
Iceland
158
Oman
…
Portugal
446
Qatar
…
Switzerland
266
Saudi Arabia
…
Ireland
173
South Sudan 1 434
Republic of Moldova
410
Sudan (former)
…
Czech Republic
20
Syrian Arab Republic
…
Poland
92
United Arab Emirates
…
Chad 1 846
United States of America
419
Togo 2 379
Argentina
233
Botswana 14 587
Canada
208
Namibia 8 282
Costa Rica
187
Finland
54
Guatemala
438
Germany
89
El Salvador
385
Croatia
27
Cambodia
447
Paraguay
192
Denmark
110
Papua New Guinea
396
Nicaragua
130
Tajikistan
151
Cuba
120
Lithuania
44
Antigua and Barbuda
…
Guinea
830
Cameroon 2 766
Uganda 4 030
Niger
Mauritius
403
568
Nigeria 2 095
Gabon 3 005
Cape Verde
667
Brazil
…
Dominica
…
Grenada
…
Sao Tome and Principe
586
Honduras
…
Madagascar
Kazakhstan
117
United Kingdom
150
Latvia
405
Azerbaijan
72
WPR
Singapore
66
Malaysia
281
Japan
6.3
New Zealand
59
Australia
99
Republic of Korea
31
736
Viet Nam
283
Belgium
191
Estonia
159
Saint Kitts and Nevis
…
Bulgaria
53
Lao People's Democratic Republic
164
Lesotho 14 619
Saint Lucia
…
Turkey
7.4
Fiji
27
South Africa 11 087
Saint Vincent and the Grenadines
…
Slovenia
31
Philippines
20
Mozambique 5 827
Venezuela (Bolivarian Republic
of)
…
Slovakia
8.0
Mongolia
30
Austria
209
Brunei Darussalam
…
Angola 1 165
SEAR
Swaziland 15 816
Sierra Leone
Senegal
Gambia
Mauritania
810
415
784
681
Belarus
214
China
…
Thailand
710
Georgia
114
Cook Islands
…
Maldives
8.4
Kyrgyzstan
225
Kiribati
…
Myanmar
455
Albania
…
Marshall Islands
161
Andorra
…
…
Nepal
Bosnia and Herzegovina
…
Micronesia (Federated States of)
…
Cyprus
…
Nauru
…
Monaco
…
Niue
…
Palau
…
Samoa
…
…
Sri Lanka
Equatorial Guinea 2 764
Bangladesh
Guinea-Bissau 1 543
20
5.1
Bhutan
172
…
Indonesia
155
Democratic Republic of the Congo
…
Democratic People's Republic of Korea
…
Ethiopia
…
India
…
Seychelles
…
Timor-Leste
…
Comoros
36
Algeria
Montenegro
Russian Federation
…
…
…
Solomon Islands
The former Yugoslav Republic of Macedonia
…
Tonga
…
Turkmenistan
…
Tuvalu
…
…
Vanuatu
…
San Marino
Uzbekistan
This chart shows the AARD in the estimated prevalence of HIV infections per 100 000 population per year for the period 2001–2011. Within each WHO region, countries are sorted in
descending order based on the AARD in this rate.
The MDG target to halt by 2015 and begin to reverse the spread of HIV/AIDS can be interpreted as any AARD greater than 0%. The vertical line corresponds to an AARD of 0% with
cut-off points of ±10% on either side. Grey bars indicate countries in which the AARD was less than -10%. The numerical values show estimated HIV prevalence per 100 000 population
for 2011.
Further details may be found in Part III, Table 2.
28
8I
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
Antiretroviral therapy coverage among people
with advanced HIV infection (%)
AFR
AMR
EUR
2013
EMR
Botswana
Cuba
Georgia
Tunisia
Namibia
Mexico
Romania
Morocco
Swaziland
Guyana
Serbia
Lebanon
Turkey
Djibouti
Rwanda
Dominican Republic
Zambia
Argentina
Republic of Moldova
Egypt
Azerbaijan
Pakistan
Zimbabwe
Venezuela (Bolivarian Republic of)
Kenya
El Salvador
Malawi
Brazil
Lithuania
South Africa
Paraguay
Kyrgyzstan
Benin
Ecuador
Guinea
Chile
Lesotho
Nicaragua
Burkina Faso
Belize
Kazakhstan
Sudan
Bulgaria
Yemen
Iran (Islamic Republic of)
Somalia
Armenia
Afghanistan
Tajikistan
South Sudan
Ukraine
Bahrain …
Latvia
Iraq …
Albania …
Jordan …
Ethiopia
Jamaica
Andorra …
Guinea-Bissau
Peru
Austria …
Senegal
Haiti
Belarus …
Libya …
Burundi
Guatemala
Belgium …
Oman …
Gambia
Suriname
Uganda
Panama
Gabon
Colombia
Sudan (former) …
Honduras
Denmark …
United Arab Emirates …
Uruguay
Estonia …
Bolivia (Plurinational State of)
Finland …
Barbados …
Mozambique
Togo
Cameroon
Côte d'Ivoire
Viet Nam
Costa Rica …
Ireland …
Philippines
Dominica …
Israel …
Malaysia
Grenada …
Italy …
Mongolia
Saint Vincent and the Grenadines …
Trinidad and Tobago …
United States of America …
Angola
SEAR
Chad
Papua New Guinea
Lao People's Democratic Republic
Saint Lucia …
Mauritius
Fiji
Greece …
Iceland …
Saint Kitts and Nevis …
United Republic of Tanzania
Cambodia
Germany …
Hungary …
Canada …
Congo
WPR
France …
Bahamas …
Cape Verde
Liberia
Croatia …
Syrian Arab Republic …
Antigua and Barbuda …
Sierra Leone
Qatar …
Saudi Arabia …
Cyprus …
Sao Tome and Principe
Ghana
Bosnia and Herzegovina …
Czech Republic …
Mali
Eritrea
Kuwait …
Luxembourg …
Australia …
Malta …
Brunei Darussalam …
Monaco …
China …
Montenegro …
Cook Islands …
Netherlands …
Japan …
Norway …
Kiribati …
Poland …
Marshall Islands …
Portugal …
Micronesia (Federated States of) …
Niger
Thailand
Russian Federation …
Nigeria
Nauru …
Myanmar
San Marino …
New Zealand …
Central African Republic
Bangladesh
Slovakia …
Niue …
Mauritania
Bhutan
Slovenia …
Palau …
Indonesia
Spain …
Republic of Korea …
Nepal
Sweden …
Samoa …
Maldives
Switzerland …
Singapore …
Sri Lanka
The former Yugoslav Republic of Macedonia …
Solomon Islands …
Comoros
Madagascar
Algeria …
Democratic Republic of the Congo …
Democratic People's Republic of Korea …
Turkmenistan …
Tonga …
Equatorial Guinea …
India …
United Kingdom …
Tuvalu …
Seychelles …
Timor-Leste …
Uzbekistan …
Vanuatu …
This chart shows estimated antiretroviral therapy coverage in 2011 based on the standards for treatment set out in the 2010 guidelines of the Joint United Nations Programme on HIV/
AIDS. Within each WHO region, countries are sorted in descending order by the level of coverage achieved.
The vertical line denotes the target of universal access to antiretroviral therapy, defined as providing antiretroviral therapy to at least 80% of patients in need.
Further details may be found in Part III, Table 4.
29
9I
Children aged < 5 years sleeping under
insecticide-treated nets (%)
AFR
AMR
EUR
Madagascar
Guyana
Mali
Argentina
…
Rwanda
Belize
United Republic of Tanzania
Sudan
Tajikistan
Somalia
Azerbaijan
…
…
Georgia
…
Yemen
Bolivia (Plurinational State of)
…
Kyrgyzstan
…
Afghanistan
Brazil
…
Turkey
…
Djibouti
…
Uzbekistan
…
Sao Tome and Principe
Colombia
Gambia
Burkina Faso
EMR
Costa Rica
…
Dominican Republic
…
Kenya
Egypt
…
Non-endemic
Iran (Islamic Republic of)
…
Albania
Iraq
…
Andorra
Oman
…
Armenia
Pakistan
…
Austria
Saudi Arabia
…
South Sudan
…
Sudan (former)
…
Syrian Arab Republic
…
Ecuador
…
El Salvador
…
Equatorial Guinea
Guatemala
…
Uganda
Haiti
…
Guinea-Bissau
Honduras
…
Malawi
Mexico
…
Nicaragua
…
Panama
…
Paraguay
…
Peru
…
Denmark
Suriname
…
Estonia
Ethiopia
Venezuela (Bolivarian Republic of)
…
Finland
Nigeria
Non-endemic
France
Zambia
Antigua and Barbuda
Germany
Angola
Bahamas
Greece
Sierra Leone
Barbados
Hungary
Canada
Iceland
Chile
Ireland
Viet Nam
Cuba
Israel
Cambodia
Burundi
Ghana
Liberia
Togo
Senegal
Benin
Central African Republic
Cameroon
Namibia
Zimbabwe
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
…
Grenada
…
Latvia
Malaysia
…
Lithuania
Papua New Guinea
…
Luxembourg
Philippines
…
Malta
Republic of Korea
…
Monaco
Solomon Islands
…
Montenegro
Vanuatu
…
Netherlands
Non-endemic
United States of America
Cape Verde
…
Chad
…
Comoros
…
Eritrea
…
WPR
China
Democratic Republic of the Congo
…
United Arab Emirates
Lao People's Democratic Republic
Trinidad and Tobago
Botswana
Qatar
Tunisia
Italy
Côte d'Ivoire
…
Libya
Morocco
Kazakhstan
Saint Vincent and the Grenadines
Algeria
Lebanon
Dominica
Congo
…
Kuwait
Czech Republic
Saint Lucia
Swaziland
Jordan
Cyprus
Saint Kitts and Nevis
Niger
Bahrain
Croatia
Jamaica
Mozambique
Non-endemic
Uruguay
SEAR
Timor-Leste
Indonesia
Bangladesh
…
Norway
Australia
Poland
Brunei Darussalam
Portugal
Cook Islands
Republic of Moldova
Fiji
Romania
Japan
Russian Federation
Kiribati
San Marino
Marshall Islands
Serbia
Micronesia (Federated States of)
Slovakia
Mongolia
Bhutan
…
Democratic People's Republic of Korea
…
India
…
Slovenia
Nauru
Spain
New Zealand
Gabon
…
Guinea
…
Mauritania
…
Myanmar
…
South Africa
…
Nepal
…
Sweden
Niue
Switzerland
Palau
Non-endemic
Sri Lanka
…
Lesotho
Thailand
…
Mauritius
Non-endemic
Ukraine
Tonga
Seychelles
Maldives
United Kingdom
Tuvalu
The former Yugoslav Republic of Macedonia
Samoa
Turkmenistan
Singapore
This chart shows the percentage of children under 5 years old that slept under an insecticide-treated net the night prior to the survey. Within each WHO region, countries are sorted by the
latest available data since 2005.
The vertical line denotes the target of 80% coverage set by WHO and the Roll Back Malaria Partnership.
Further details may be found in Part III, Table 4.
30
10I
Children aged < 5 years with fever who received
treatment with any antimalarial (%)
AFR
AMR
EUR
Guinea
Guyana
Tajikistan
Haiti
Azerbaijan
Sierra Leone
Honduras
Georgia
Argentina
…
Kyrgyzstan
Belize
…
Turkey
Bolivia (Plurinational State of)
…
Liberia
Ghana
Brazil
…
Colombia
…
Costa Rica
…
Dominican Republic
…
Guinea-Bissau
Nigeria
Malawi
Democratic Republic of the Congo
Benin
2013
EMR
Uganda
United Republic of Tanzania
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
Uzbekistan
Non-endemic
Albania
Sudan
South Sudan
…
…
…
…
…
Somalia
Pakistan
Djibouti
Saudi Arabia
…
…
…
…
…
…
Sudan (former)
…
Syrian Arab Republic
…
…
Afghanistan
Egypt
Iran (Islamic Republic of)
Iraq
Andorra
Oman
Armenia
Austria
Ecuador
…
Belarus
El Salvador
…
Belgium
Yemen
Chad
Guatemala
…
Bosnia and Herzegovina
Non-endemic
Burkina Faso
Mexico
…
Bulgaria
Bahrain
Togo
Nicaragua
…
Croatia
Jordan
Zambia
Panama
…
Cyprus
Kuwait
Lebanon
Niger
Paraguay
…
Czech Republic
Central African Republic
Peru
…
Denmark
Libya
Suriname
…
Estonia
Morocco
Venezuela (Bolivarian Republic of)
…
Mali
Gambia
France
Non-endemic
Mozambique
Germany
Antigua and Barbuda
Angola
Greece
Bahamas
Congo
Hungary
Barbados
Kenya
Canada
Cameroon
Qatar
Finland
Tunisia
United Arab Emirates
WPR
Iceland
Vanuatu
Ireland
Solomon Islands
Lao People's Democratic Republic
Chile
Mauritania
Israel
Cuba
Italy
Viet Nam
Madagascar
Dominica
Kazakhstan
Cambodia
Namibia
Grenada
Latvia
Philippines
…
Côte d'Ivoire
Jamaica
Lithuania
China
…
Burundi
Saint Kitts and Nevis
Luxembourg
Malaysia
…
Eritrea
Saint Lucia
Malta
Papua New Guinea
…
Rwanda
Saint Vincent and the Grenadines
Monaco
Republic of Korea
…
Ethiopia
Trinidad and Tobago
Sao Tome and Principe
United States of America
Montenegro
Netherlands
Norway
Uruguay
Senegal
Poland
SEAR
Swaziland
Zimbabwe
Portugal
Republic of Moldova
India
Romania
Non-endemic
Australia
Brunei Darussalam
Cook Islands
Fiji
Japan
Algeria
…
Timor-Leste
Botswana
…
Indonesia
Cape Verde
…
Nepal
Serbia
Comoros
…
Sri Lanka
Slovakia
Equatorial Guinea
…
Bangladesh
Slovenia
Nauru
Spain
New Zealand
Gabon
South Africa
…
…
Bhutan
Russian Federation
San Marino
…
…
Kiribati
Marshall Islands
Micronesia (Federated States of)
Mongolia
Sweden
Niue
Switzerland
Palau
Democratic People's Republic of Korea
…
Non-endemic
Myanmar
…
Samoa
Lesotho
The former Yugoslav Republic of Macedonia
Thailand
…
Turkmenistan
Singapore
Mauritius
Non-endemic
Ukraine
Tonga
Seychelles
Maldives
United Kingdom
Tuvalu
This chart shows the percentage of children under 5 years old with fever in the two weeks prior to the survey who received any antimalarial medicine. Within each WHO region, countries
are sorted by the latest available data since 2005.
The vertical line denotes the target of 100% coverage set by WHO and the Roll Back Malaria Partnership.
Further details may be found in Part III, Table 4.
31
11I
AARD (%) in tuberculosis mortality rate,
1990–2011
AFR
AMR
EUR
EMR
Niger
17
United States of America
0.1
Turkey
0.7
Yemen
5.0
Ghana
7.5
Chile
1.3
Finland
0.3
Bahrain
0.6
Rwanda
11
El Salvador
1.1
Albania
0.2
Egypt
0.6
1.7
Hungary
0.8
Syrian Arab Republic
1.8
Switzerland
0.2
Qatar
0.1
The former Yugoslav Republic of Macedonia
1.2
Oman
0.9
Morocco
8.7
Lebanon
1.5
Iraq
3.2
Jordan
0.8
Uganda
14
Botswana
24
Malawi
12
Ethiopia
Mexico
Ecuador
18
Guinea
23
Mauritius
1.0
Eritrea
4.7
United Republic of Tanzania
14
4.6
Peru
7.4
Guatemala
2.4
Jamaica
0.2
Costa Rica
0.7
Nicaragua
Czech Republic
3.2
0.3
Belgium
0.2
Austria
0.4
Denmark
0.3
Croatia
2.0
Colombia
1.9
Spain
0.6
Canada
0.2
Germany
0.3
Pakistan
33
United Arab Emirates
0.3
Sudan
22
Libya
5.9
2.9
Madagascar
46
Argentina
1.4
France
0.5
Zambia
24
Iran (Islamic Republic of)
Venezuela (Bolivarian Republic of)
2.3
Slovakia
0.8
Somalia
59
Central African Republic
53
Cuba
0.3
Slovenia
1.1
Saudi Arabia
4.0
Benin
9.2
Dominican Republic
6.1
3.1
Mozambique
47
Honduras
3.1
17
Brazil
2.9
Côte d'Ivoire
24
Bolivia (Plurinational State of)
21
Burkina Faso
8.7
Uruguay
1.6
Mali
9.0
Paraguay
Panama
Nigeria
Democratic Republic of the Congo
Kenya
22
19
Lesotho
17
Burundi
19
Angola
37
Gabon
Guinea-Bissau
0.5
Tunisia
0.2
Afghanistan
39
Israel
0.2
Kuwait
0.9
76
Sweden
0.2
Djibouti
Azerbaijan
3.6
South Sudan
29
Greece
0.8
Sudan (former)
…
2.6
Portugal
1.2
6.1
Poland
2.1
Trinidad and Tobago
2.2
Georgia
3.7
Haiti
30
China
Cyprus
0.1
3.5
Antigua and Barbuda
1.0
Serbia
1.6
New Zealand
0.1
Bahamas
0.6
Italy
0.6
Barbados
0.6
United Kingdom
0.6
Romania
6.0
54
Senegal
Ireland
Norway
45
24
Belize
4.3
Dominica
4.2
Grenada
1.1
South Africa
49
Guyana
27
Chad
18
Saint Kitts and Nevis
2.7
Estonia
2.7
WPR
Lao People's Democratic Republic
11
Mongolia
5.0
Singapore
1.8
Cambodia
63
Australia
0.2
1.7
Latvia
4.1
Turkmenistan
10
Japan
29
4.9
Uzbekistan
6.1
Philippines
Bosnia and Herzegovina
6.8
Republic of Korea
Liberia
45
Saint Lucia
1.9
Bulgaria
2.5
Papua New Guinea
53
Algeria
13
Saint Vincent and the Grenadines
1.6
Netherlands
0.2
Malaysia
5.7
Suriname
2.7
Lithuania
8.3
Viet Nam
33
Kyrgyzstan
12
Brunei Darussalam
2.5
Cook Islands
0.6
Fiji
1.8
Kiribati
4.2
Marshall Islands
74
Togo
9.0
Gambia
49
Congo
43
Cameroon
Swaziland
Zimbabwe
SEAR
Kazakhstan
14
Democratic People's Republic of Korea
6.4
Belarus
8.3
Myanmar
48
Ukraine
18
Indonesia
27
Armenia
8.8
Nepal
23
Russian Federation
16
Tajikistan
India
24
16
Republic of Moldova
17
Timor-Leste
63
Andorra
0.3
14
Iceland
0.3
Luxembourg
29
53
47
Sierra Leone 159
Namibia
14
Mauritania
83
Cape Verde
Comoros
Equatorial Guinea
24
Thailand
6.4
Bangladesh
45
10
Sri Lanka
5.4
Micronesia (Federated States of)
23
Nauru
3.4
Niue
4.2
Palau
26
0.0
Samoa
1.1
Malta
0.3
Solomon Islands
16
Monaco
0.2
Tonga
2.9
Sao Tome and Principe
16
Bhutan
15
Montenegro
0.2
Tuvalu
37
Seychelles
1.9
Maldives
2.5
San Marino
…
Vanuatu
8.8
This chart shows the AARD in the estimated tuberculosis mortality rate per 100 000 population (excluding deaths among HIV-positive people) for the period 1990–2011. Within each WHO
region, countries are sorted in descending order based on the AARD in estimated tuberculosis mortality rates.
In order to reach the target of a 50% reduction between 1990 and 2015 set by the Stop TB Partnership, an AARD of 2.7% is needed and this is denoted by the vertical line. The numerical
values shown are estimated tuberculosis mortality rates per 100 000 population in 2011. For countries with small populations, the AARD may not be applicable and only the 2011
estimated mortality rate is shown.
Further details may be found in Part III, Table 2.
32
12I
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
AARD (%) in proportion of population without
access to improved drinking-water sources
AFR
AMR
EUR
2013
EMR
Mauritius <2
Canada <2
Andorra <2
Kuwait <2
Sao Tome and Principe
3
Barbados <2
Austria <2
Lebanon <2
Namibia
7
Belize <2
Belarus <2
Qatar <2
Uruguay <2
Belgium <2
United Arab Emirates <2
Bulgaria <2
Bahrain <2
Malawi 16
Argentina <2
Ghana 14
Burkina Faso 20
Comoros
Botswana
...
3
Gambia 11
Uganda 25
Brazil
3
Paraguay
...
Mexico
6
Guatemala
6
Panama
Swaziland 28
6
Guinea 26
Costa Rica
4
Benin 24
Trinidad and Tobago
6
Italy <2
Norway <2
Serbia <2
Slovakia <2
Slovenia <2
Spain <2
Suriname
8
Sweden <2
Venezuela (Bolivarian Republic of)
...
Switzerland <2
United States of America <2
The former Yugoslav Republic of Macedonia <2
Antigua and Barbuda
2
United Kingdom <2
Saint Lucia
6
Mauritania 50
Madagascar 52
Turkey <2
Hungary <2
Haiti 36
Nigeria 39
Bahamas
4
...
Grenada
...
Niger 50
Saint Kitts and Nevis
2
Central African Republic 33
Dominica
...
Togo 41
Jamaica
7
Armenia <2
Greece <2
Rwanda 31
Bhutan
Chad 50
3
Maldives <2
Burundi 26
Côte d'Ivoire 20
Congo 28
Sri Lanka
7
India
8
Thailand
Democratic Republic of the Congo 54
...
Indonesia 16
United Republic of Tanzania 47
Timor-Leste 31
Lesotho 22
Bangladesh 17
2
Democratic People's Republic of Korea
4
Yemen 45
Sudan 45
South Sudan 43
Sudan (former) …
WPR
Australia <2
Cook Islands <2
Japan <2
New Zealand <2
Niue <2
Singapore <2
Tonga <2
Malaysia <2
4
2
Kyrgyzstan 11
Samoa
2
4
Tuvalu
2
Bosnia and Herzegovina <2
Vanuatu
9
Russian Federation
3
China
8
Ukraine
2
Fiji
4
Romania
...
Mongolia 15
2
Tajikistan 34
Croatia <2
Lithuania
...
Latvia
2
Uzbekistan 13
Nepal 12
4
...
Viet Nam
Azerbaijan 20
4
Libya
Jordan
Republic of Korea
Montenegro
Myanmar 16
Zimbabwe 20
Somalia 70
2
Republic of Moldova
SEAR
Angola 47
Iraq 15
Syrian Arab Republic 10
Portugal <2
Georgia
Dominican Republic 18
Mozambique 53
9
Morocco 18
Netherlands <2
7
Zambia 36
5
Pakistan
Monaco <2
Colombia
Senegal 27
3
Iran (Islamic Republic of)
Malta <2
Peru 15
Gabon 12
8
Luxembourg <2
Nicaragua 15
Ethiopia 51
Oman
Saudi Arabia
Iceland <2
Honduras 11
Cuba
Algeria 16
Germany <2
El Salvador 10
Liberia 26
Equatorial Guinea
Afghanistan 39
Israel <2
5
Seychelles
8
Estonia <2
France <2
6
Saint Vincent and the Grenadines
Eritrea
Denmark <2
Finland <2
8
Cameroon 26
Kenya 39
4
Djibouti
Ireland <2
9
Sierra Leone 43
Tunisia
5
Guyana
Egypt <2
Czech Republic <2
Bolivia (Plurinational State of) 12
Cape Verde 11
South Africa
2
Ecuador
Guinea-Bissau 28
Mali 35
Chile
Cyprus <2
Kazakhstan
Albania
Nauru
4
Lao People's Democratic Republic 30
Palau
5
Cambodia 33
Philippines
8
Kiribati 34
5
Marshall Islands
5
Papua New Guinea 60
6
Turkmenistan 29
Solomon Islands 21
Poland
...
Micronesia (Federated States of) 11
San Marino
...
Brunei Darussalam
...
The AARD in the proportion of the population without access to improved drinking-water sources was calculated using the complement of the estimated proportion using an improved drinkingwater source, for the period 1990–2011 (or any minimum period of five years since 1990). Within each WHO region, countries are sorted in descending order based on this rate of decline.
In order to reach the MDG target of halving, by 2015, the proportion of people without sustainable access to safe drinking-water, an AARD of 2.7% will be required and is denoted by the vertical
line. Countries with sustained low levels of proportion of population without improved drinking-water sources (< 2%) can be considered to have met the target and are shown with the maximum
AARD at the beginning of their respective regional listing. The numerical values show the estimated percentage of the population not using improved drinking-water sources in 2011.
Further details may be found in Part III, Table 5.
33
13I
AARD (%) in proportion of population
without access to improved sanitation
AFR
AMR
EUR
EMR
Cape Verde 37
Canada
<2
Andorra <2
Bahrain <2
5
United States of America
<2
Austria <2
Kuwait <2
<2
Belgium <2
Qatar <2
Uruguay
<2
Bulgaria <2
Iran (Islamic Republic of) <2
Ecuador
7
Cyprus <2
Saudi Arabia <2
Algeria
Chile
Rwanda 39
Angola 41
Botswana 36
3
Egypt
5
Finland <2
Syrian Arab Republic
5
4
Venezuela (Bolivarian Republic of)
...
Antigua and Barbuda
9
Honduras
19
Belize
10
Hungary <2
Cuba
8
Iceland <2
Barbados
...
Ireland <2
Sao Tome and Principe 66
Gambia 32
Senegal 49
Malawi 47
Comoros
Oman
Denmark <2
Argentina
South Africa 26
Central African Republic 66
Czech Republic <2
...
Mexico
15
Israel <2
Paraguay
...
Luxembourg <2
9
Costa Rica
6
Malta <2
Democratic Republic of the Congo 69
Guatemala
20
Swaziland 43
Brazil
19
Burundi 50
El Salvador
30
Mauritania 73
Peru
28
Guinea-Bissau 81
Saint Vincent and the Grenadines
...
Liberia 82
Guyana
16
Colombia
22
Switzerland <2
Dominican Republic
18
United Kingdom <2
Panama
29
Uzbekistan <2
Bolivia (Plurinational State of)
54
Portugal <2
Suriname
17
Estonia <2
Saint Lucia
35
Albania
Nicaragua
48
Haiti
74
Mozambique 81
Uganda 65
Burkina Faso 82
Namibia 68
Benin 86
Guinea 82
Mali 78
Ghana 87
Jamaica
20
Madagascar 86
Bahamas
...
Niger 90
Grenada
...
United Republic of Tanzania 88
Saint Kitts and Nevis
Kenya 71
Côte d'Ivoire 76
Eritrea
...
Cameroon 52
Seychelles
Afghanistan 72
Somalia 76
Libya
Sudan 76
Lebanon
Spain <2
Azerbaijan 18
Greece <2
Tajikistan
5
...
South Sudan 91
Sudan (former) …
Sweden <2
6
3
Djibouti 39
Slovenia <2
WPR
Australia <2
Japan <2
Republic of Korea <2
Singapore <2
Niue <2
Palau <2
Malaysia
4
Republic of Moldova 14
Turkmenistan <2
Lao People's Democratic Republic 38
Turkey
9
Viet Nam 25
...
Kazakhstan
3
China 35
Trinidad and Tobago
8
Serbia
3
Micronesia (Federated States of) 45
Dominica
...
Bosnia and Herzegovina 4
The former Yugoslav 9
Republic of Macedonia
Armenia 10
Philippines 26
Sri Lanka
9
Belarus
7
Democratic People's Republic of Korea
18
Croatia
2
Thailand
7
Myanmar
23
Indonesia
41
Nepal
65
Togo 89
2
Pakistan 53
Norway <2
...
Zimbabwe 60
2
Slovakia <2
Romania
Zambia 58
Jordan
United Arab Emirates
Netherlands <2
2
3
Morocco 30
Monaco <2
Maldives
Lesotho 74
Sierra Leone 87
Yemen 47
Fiji 13
SEAR
Chad 88
Iraq 16
Germany <2
Ethiopia 79
Mauritius
Tunisia 10
France <2
Montenegro 10
Kyrgyzstan
7
Latvia
...
Russian Federation 30
45
Vanuatu 42
Tuvalu 17
Marshall Islands 24
Cambodia 67
Kiribati 61
Solomon Islands 71
Mongolia 47
Nauru 34
Papua New Guinea 81
Georgia
7
Ukraine
6
Samoa
8
Italy
...
Tonga
8
Lithuania
...
Cook Islands
5
Congo 82
Bangladesh
Gabon 67
India
65
Nigeria 69
Bhutan
55
Poland
...
Brunei Darussalam
...
...
Timor-Leste
61
San Marino
...
New Zealand
...
Equatorial Guinea
The AARD in the proportion of the population without access to improved sanitation was calculated using the complement of the estimated proportion using improved sanitation, for the
period 1990–2011 (or any minimum period of five years since 1990). Within each WHO region, countries are sorted in descending order based on this rate of decline.
In order to reach the MDG target of halving, by 2015, the proportion of people without sustainable access to basic sanitation, an AARD of 2.7% will be required and is denoted by the
vertical line. Countries with sustained low levels of proportion of population without improved sanitation (< 2%) can be considered to have met the target and are shown with the
maximum AARD at the beginning of their respective regional listing. The numerical values show the estimated percentage of the population not using improved sanitation in 2011.
Further details may be found in Part III, Table 5.
34
0010011010011001001101001100100110100110010011010011001001101001
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01101001100110100110011010011001101001100110100110011010011001101001
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01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
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01101001100110100110011010011001101001100110100110011010011001101001
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01101001100110100110011010011001101001100110100110011010011001101001
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100101111010010101001010010111101001010100101001011110100101010010100101
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00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
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100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
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01101001100110100110011010011001101001100110100110011010011001101001
2013
Part II
Highlighted
topics
35
36
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0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
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01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
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00101001101000101001101000101001101000101001101000101001101000101001
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01101001100110100110011010011001101001100110100110011010011001101001
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01101001100110100110011010011001101001100110100110011010011001101001
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0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
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2013
Are efforts to meet the MDGs reducing
health gaps between countries?
The Millennium Declaration agreed on by world leaders in September 200013 upholds equity as one of the
fundamental principles of progress. With their focus on
improving the situation in the world’s poorest countries
and reducing unacceptable global health disparities, it is
timely to ask if efforts to meet the MDGs have resulted in
a significant reduction in health gaps between countries.
countries declined by 60% between 1990 and 2011,
the bottom countries only experienced a 39% decline
over the same period. In other words, the relative rate
of decline was larger in countries that already had the
lowest levels of under-five mortality.
In 1990, countries in the bottom category had on average 915 more maternal deaths per 100 000 live births
compared to countries in the top category. In 2010, this
had narrowed to 512 per 100 000 live births. However,
the relative decline in the average maternal mortality
ratio between 1990 and 2010 in the bottom 25% of
countries was 44% – only marginally higher than the
34% decline observed in the top 25% of countries.
One way to assess convergence is to compare the
gaps that existed between those countries with the
best health status and those with least-favourable
health status at the MDG baseline year of 1990 and
again two decades later. Figure 8 shows the average
values for the “top” 25% of countries with the corresponding values for the “bottom” 25% of countries for
selected indicators.14 In absolute terms, the dramatic
progress made in the bottom 25% of countries over
two decades is clear, as is the narrowing of the gaps
between the top and bottom categories.
The difference in HIV incidence rate (the number of
people newly infected with HIV per 100 000 population)
between the 25% of countries with the highest rate and
the 25% of countries with the lowest rate was 360 in
1990. In 2011, this gap fell to 261 (Figure 8). In the
group of countries with the lowest rates, the average incidence of HIV cases increased six-fold between 1990
and 2011 (from 0.5 to 3 per 100 000 population). Over
the same period, the average HIV incidence rate in the
group of countries with the highest rates declined by
27% (from 361 to 264 per 100 000 population).
For example, the absolute gap in the under-five mortality
rate between the top and bottom countries fell from 171
deaths per 1000 live births in 1990 to 107 per 1000 live
births in 2011. Some countries who were in the bottom
category in 1990 – including Bangladesh, Bhutan, Lao
People’s Democratic Republic, Madagascar, Nepal,
Rwanda, Senegal and Timor-Leste – reduced their
under-five mortality rates to such an extent that by 2011
they no longer belonged to that group. However, when
considering relative reduction over time, it is also clear
that while the average under-five mortality rate in the top
13.
See: http://www.un.org/millennium/declaration/ares552e.htm
14.
For each indicator, the top and bottom 25% of all available
countries were selected based on performance. Countries with
less than 500 000 population in 2011 were excluded from the
analysis, with each remaining country assigned equal “weight”
regardless of population. Depending on data availability,
there were between 31 and 41 countries in each group. The
countries in the top and bottom categories may not be the
same for the two years shown.
Globally, the tuberculosis mortality rate has decreased
by 41% since 1990 and the trend indicates that it will
reach a 50% reduction by 2015. The absolute gap
between the average tuberculosis mortality rates in the
top and bottom 25% of countries has narrowed, from
62 per 100 000 population in 1990 to 41 per 100 000
population in 2011 (Figure 8). However, over this same
period the 34% relative decline in the bottom 25% of
countries was under half of the relative decline of 70%
observed in the top 25% of countries.
The prevalence of underweight children was virtually
negligible in richer countries in 1990, and this has re37
Figure 8. Measuring convergence between the world’s most-advantaged and least-advantaged countries using
selected MDG indicators
Under-five mortality rate
112
120
80
40
12
5
1990
264
100
3
1990
200
13
8
1990
200
64
100
0
1.5
1990
80
80
60
60
■ Water, Bottom 25%
■ Sanitation, Bottom 25%
75
55
37
40
24
20
0
2011
85
%
100
%
100
42
0.5
No access to improved water
and improved sanitationa
■ Bottom 25%
32
■ Top 25%
■ Bottom 25%
300
2011
Underweight
40
2010
Tuberculosis mortality rate
200
0
400
400
300
0.5
521
0
■ Top 25%
■ Bottom 25%
361
400
927
600
2011
HIV incidence rate
■ Top 25%
■ Bottom 25%
800
Per 100 000 population
Per 1000 live births
160
0
Per 100 000 population
1000
Per 100 000 live births
183
200
Maternal mortality ratio
■ Top 25%
■ Bottom 25%
20
1990
0
2011
a
38
1990
2011
1990
2011
Chart denotes average proportion of population who are not using
improved sources of drinking-water or improved sanitation facilities.
01101001100110100110011010011001101001100110100110011010011001101001
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00101001101000101001101000101001101000101001101000101001101000101001
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2013
mained the case in the last two decades. By contrast,
in 1990 the 25% of countries with the highest prevalence averaged 32 underweight children in every 100
children under five years of age (Figure 8). In 2011, this
declined to 24 for every 1000 children under five years
of age, representing a 24% decline.15
advantaged and least-advantaged populations needs
to be accelerated.
Almost everyone in the top 25% of countries has access to improved drinking-water sources and improved
sanitation facilities, and has done so since 1990. As
a result, the average proportion of the population in
such countries not using improved drinking-water
sources or improved sanitation is 0% for both of these
indicators. Between 1990 and 2011, the absolute gap
between the average proportion of the population not
using improved drinking-water sources in the top 25%
and bottom 25% of countries declined from 55% to
37% (Figure 8). The absolute gap between the average proportion of the population not using improved
sanitation facilities in the top 25% and bottom 25% of
countries also declined – from 85% in 1990 to 75% in
2011. Over this same period, the relative decline in the
bottom 25% of countries was 33% and 12% for the
average proportion of population not using improved
drinking-water sources and the average proportion of
the population not using improved sanitation facilities,
respectively.
Concerted actions to achieve the MDGs have clearly
brought about improvements across a range of global
health indicators and associated health outcomes, with
evidence of convergence – at least in absolute terms
– between the most-advantaged and least-advantaged
countries of the world. The situation, however, remains
far from satisfactory as large gaps persist between
countries. In addition, there exist gaps within countries
that are concealed when only national averages are
considered (see Part III, Table 8 on health inequities).
With only two years remaining before the MDG deadline of 2015, convergence between the world’s most-
15.
Analysis using data from: Stevens GA et al. Nutrition Impact
Model Study Group (Child Growth). Trends in mild, moderate,
and severe stunting and underweight, and progress towards
MDG 1 in 141 developing countries: a systematic analysis
of population representative data. Lancet, 2012 Sep 1,
380(9844):824–834. doi: 10.1016/S0140-6736(12)60647-3.
Epub 2012 Jul 5.
39
Official development assistance for health
■■ disbursements18 as reported by donors each year
though not necessarily intended to be spent in that
year (a more or less complete series since 2002);
The United Nations Millennium Declaration in 2000
embodies an international commitment to create an
environment conducive to development and to the
elimination of poverty. MDG 8 addresses the issue of
global partnerships for development, with target 8.B
specifically calling for more-generous contributions of
official development assistance (ODA) for countries
committed to poverty reduction.
■■ country programmable aid (CPA) – a subset of ODA
disbursements that donors report that recipient
countries can plan on and spend at country level
(starting in 2004).
Between 2002 and 2011, disbursements of ODA for
health reported to OECD rose from US$ 6.2 billion to
US$ 18.4 billion (Figure 9).19 The proportion donors
reported as intended for low-income countries also
increased from 31% to 43% – a four-fold increase in
absolute terms. The value of disbursements for use by
countries in the WHO African Region is estimated to
have increased 4.5 times, from US$ 1.85 billion in 2002
to US$ 8.3 billion in 2011. This substantial increase is
also probably an underestimate because:
ODA for health is, however, only one aspect of the
broader concept of Development Assistance for Health
(DAH). Specifically, ODA involves the flow of financing
from donor governmental sources to promote economic development and welfare in recipient countries,
with a grant component of at least 25%. In addition to
the bilateral ODA reported by countries to the Organisation for Economic Cooperation and Development
(OECD) each year, the OECD Development Assistance
Committee (DAC)16 also collates information on budget
flows originating from bilateral donors but channelled
through multilateral organizations such as the World
Bank, the GAVI Alliance and the Global Fund as ODA.
The remaining and growing share of DAH then comes
from the private sector, including nongovernmental
organizations (NGOs) and foundations such as the Bill
and Melinda Gates Foundation.
■■ a proportion of the ODA that donors did not show
as being linked to a particular country (for example,
for global or cross-national activities) would nevertheless have benefited the African region;
■■ some countries – including Brazil, China, India,
Russia and South Africa – do not report their aid
spending to OECD;
The Millennium Declaration heralded a substantial increase in ODA for health. Of the several data series of
ODA flows made available by OECD, the most relevant
for health are:
■■ donor commitments17 or formal promises recorded
in the year they are made;
16.
For further information on the OECD DAC, see: http://www.
oecd.org/dac/
17.
A “commitment” can be defined as a firm obligation,
expressed in writing and backed by the necessary
funds. For more details see: http://www.oecd.org/dac/
dacglossaryofkeytermsandconcepts.htm
40
18.
“Disbursement” refers to the release of funds to, or the
purchase of goods or services for, a recipient. They record the
actual international transfer of resources or of goods or services
valued at the cost to the donor. For more details see: http://
www.oecd.org/dac/dacglossaryofkeytermsandconcepts.htm
19.
To ensure comparability between different years and
currencies, the volume of flows is presented in constant
prices and exchange rates, with 2010 used as the reference
year. This means that adjustments have been made to
cover: (a) inflation in the donor’s currency between the year
in question and the reference year; and (b) changes in the
exchange rate between that currency and the United States
dollar over the same period. See: http://www.oecd.org/dac/
dacglossaryofkeytermsandconcepts.htm#Constant_Dollars
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Figure 9. ODA disbursements for health as reported to OECD, 2002–2011
Constant 2010 US$ (billions)
20
16
12
8
4
0
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
■■ in several countries, donors also provided general
budget support, part of which would typically have
been allocated by recipient countries to health.
disbursed to the implementing institution are often
spent in the country beyond the year in which they were
disbursed by the donor.
In addition, these ODA figures underestimate the overall
increases in external assistance for health because they
do not include funding originating from foundations
such as the Bill and Melinda Gates Foundation; funding
that has increased substantially in recent years.20
As these disbursements also include donor-country
funding to cover the cost of aspects such as their own
administration activities in relation to a recipient country,
they do not necessarily equate with the money available
for countries to spend in the year in which they are recorded. The only way to track how much funding from
ODA disbursements and
health spending in recipient
countries
Table 1. The top 10 recipient countries in terms of ODA
for health per capita, 2011
The OECD Creditor Reporting System (CRS) database21
lists all the reported aid activities to recipients of ODA
funds. Table 1 shows the top 10 recipients in 2011
in terms of aid per capita disbursed by donors to the
implementing agents (such as governments, national or
international NGOs and international organizations) for
countries with a population of over one million. Funds
20.
21.
The proportion of DAH captured by OECD is not known exactly,
but a recent report by the Institute for Health Metrics and
Evaluation (IHME) suggests that it is now around 70% having
been lower in previous years. For more details see: http://www.
healthmetricsandevaluation.org/publications/policy-report/
financing-global-health-2012-end-golden-age
See: http://stats.oecd.org/index.aspx?DataSetCode=CRS1
41
Country
Disbursements per capita
(constant 2010 US$)
Swaziland
59.2
Lesotho
42.0
Namibia
40.8
Botswana
37.9
Zambia
30.7
Rwanda
28.0
Haiti
23.5
Timor-Leste
21.5
Malawi
20.5
Liberia
20.4
Figure 10. Health expenditures and ODA disbursements per capita for health in low-income countries, 2000–2010
■ Total health expenditure (domestic)
■ Total health expenditure (external)
● ODA for health disbursement
35
30
US$ (per capita)
25
20
15
10
5
0
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
external sources such as ODA is spent in the recipient
country to improve health is through national health accounts.
of the additional US$ 20.7 per capita spent on health
in low-income countries as a group – the remaining
US$ 13.3 deriving from domestic funds.
The WHO Global Health Expenditure Database22 reports
total health spending in all WHO Member States from all
sources, domestic and external and is summarized in
the World Health Statistics series (see Part III, Table 7).
External sources include all forms of DAH including
ODA. In low-income countries taken as a group, total
health expenditure increased from US$ 13.0 per capita
in 2000 to US$ 33.7 per capita in 2010 (Figure 10).23
Just over one-third of this increase came from external
funds or DAH, which more than quadrupled over the
same period, from US$ 2.1 per capita to US$ 9.5 per
capita. The amount of external funding that countries
spend in a year is, in most cases, lower than the ODA
disbursements reported by OECD, even taking into account delays in spending. The difference between the
two figures can be partly explained by high overheads
and transaction costs in delivering ODA. Nevertheless, the rate of increase in this funding has also been
impressive, exceeding the rate of increase in funding
from domestic sources. Despite this, external funding in
absolute terms accounted for only US$ 7.4 per capita
The average level of spending in low-income countries
in 2010 – US$ 33.7 per capita – is still well below
the minimum amount of US$ 44 per capita required
to ensure that everyone can have access to a set of
essential health services as suggested by the Taskforce
on Innovative International Financing for Health
Systems.24 In addition, many other low- and middleincome countries are facing severe financial constraints,
and their capacity to increase the availability and quality
of health services over time will depend on their ability
to increase both domestic and external funding, and to
use them efficiently and equitably.
22.
For more information see: http://apps.who.int/nha/database/
DataExplorerRegime.aspx
23.
Values are unweighted averages and expressed in current
United States dollars.
Is ODA falling?
There is increasing concern that the global financial crisis
and subsequent economic recessions in high-income
24.
42
Constraints to Scaling Up and Costs. Report of Working Group 1
of the Taskforce on Innovative International Financing for Health
Systems. See: http://www.internationalhealthpartnership.
net/fileadmin/uploads/ihp/Documents/Results___Evidence/
HAE__results___lessons/WORKING%20GROUP%201%20
REPORT%20-%20Constraints%20to%20Scaling%20Up%20
and%20Costs.pdf
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Figure 11. ODA commitments and disbursements for health reported to OECD, 2002–2011
■ Commitments
■ Disbursements
Constant 2010 US$ (billions)
25
20
15
10
5
0
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
Figure 12. ODA disaggregated by health purpose
■ Other health purpose
■ Reproductive health and family planning
■ Health policy and administration management
■ MDG 6
100
80
%
60
40
20
0
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
Most ODA goes to MDG 6
countries that are the traditional bilateral donors will lead
to reduced levels of ODA. Following annual increases up
to 2009, ODA commitments for health have decreased
despite a continued increase in disbursements (Figure 11). Although disturbing, it is not yet clear whether
this will mean a decline in the funding available to recipient
countries to spend on improving health. It is hoped that
the level of such funding arriving in low-income countries
will not falter, with increasing flows from foundations
and from non-traditional bilateral donors such as Brazil,
China, India and the Gulf States potentially offsetting any
falls observed in traditional funding flows.
OECD encourages donors reporting their aid flows to
identify which area of health (“health purpose”) they
target. However, this is done using only one “tag”.
These OECD tags have been aggregated into the four
categories shown in Figure 12. From 2002 to 2011,
ODA disbursements for MDG 6 increased more than
five-fold, from US$ 1.9 billion in 2002 to US$ 10.6
billion in 2011. During the period 2009–2011, MDG 6
accounted for 58% of all ODA for health disbursed
globally (excluding budget support) with only 10% of
43
ODA for health allocated for reproductive health and
family planning aspects of MDG 5 funding; 11% to
health policy, administration and management; and
21% to other health purposes (which includes all other
health problems). Once again, this does not mean that
the money countries received to spend on MDG 6
activities increased by the same amounts, as this can
only be tracked at the country level. Although many
countries are now working to disaggregate their health
spending by targeted health problem – particularly for
women’s and children’s health – the results of this and
the links between increased spending and improved
health will be available only over the next few years.
Such efforts have been boosted by activities such as
the Global Strategy for Women’s and Children’s Health
developed following the United Nations summit on the
MDGs in 2010, the Commission on Information and
Accountability for Women’s and Children’s Health,
and by the growing emphasis on making development
cooperation more effective by engaging in country
health-planning processes and supporting efforts such
as the International Health Partnership.25
25.
For more information on the International Health
Partnership and related initiatives (IHP+) see: http://www.
internationalhealthpartnership.net
44
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101010010
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101010010
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101010010
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Part III
Global health
indicators
45
46
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
General notes
The following summary tables represent the best estimates of WHO for a broad range of key public
health indicators – based on evidence available in 2012. These best estimates have wherever possible
been computed by WHO using standardized categories and methods in order to enhance crossnational comparability. This approach may result in some cases in differences between the estimates
presented here and the official national statistics prepared and endorsed by individual Member States.26
It is also important to stress that these estimates are subject to considerable uncertainty, especially for
countries with weak statistical and health information systems where the quality of underlying empirical
data is limited.
For indicators with a reference period expressed as a range in Tables 4, 5, 6 and 9, figures refer to
the latest available year in the range unless otherwise noted. For survey data, the year of the report is
used to determine the latest available year to be consistent across indicators. For more information on
specific years, indicator definitions and metadata, please refer to: http://www.who.int/gho
... indicates data not available or not applicable.
The WHO regional, income-group and global aggregates for rates and ratios are weighted averages
when relevant, while for absolute numbers they are the sums. Aggregates are calculated only if data
are available for at least 50% of the population within an indicated group. Income-group aggregates
are calculated using the 2012 World Bank list of economies27 unless otherwise noted.
26.
South Sudan became an independent state in July 2011 and a WHO Member State in September 2011. As the
reported data shown here concern time periods before and after 2011, the term “Sudan (former)” refers to the state
as it existed prior to July 2011 and is listed among the Member States.
27.
World Bank list of economies (July 2012). Washington, DC, World Bank, 2012. See: http://siteresources.worldbank.
org/DATASTATISTICS/Resources/CLASS.XLS.
47
48
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
1. Life expectancy and mortality
The indicators of life expectancy and mortality presented in Table 1 are: life expectancy at birth; life
expectancy at age 60; stillbirth (fetal death) rate; neonatal mortality rate (the probability of death occurring during the first 28 days of life); infant and under-five mortality rates (the probability of dying
between birth and 1 and 5 years of age, respectively); and adult mortality rate (the probability of dying
between 15 and 60 years of age). Monitoring levels in child mortality has largely focused on liveborn
infants with stillbirths often overlooked and underestimated. However, one third of all stillbirths occur
during delivery from complications that can be avoided with appropriate care. Levels and trends for
child mortality are also particularly relevant in understanding public health trends, with almost 20% of
all deaths occurring among children less than 5 years old. The estimates of mortality presented here
have been derived wherever possible from death-registration data reported annually to WHO. For
countries where such data are not available or are of poor quality, household surveys and censuses
are used to prepare estimates of mortality rates and life expectancy.
In the case of child mortality, WHO is part of the Inter-agency Group for Child Mortality Estimation
(IGME) which carries out annual updates of estimates for infant and child mortality for UNICEF, WHO
and other international agencies. As well as harmonizing the child mortality estimates used by its
members, the IGME monitors progress towards the achievement of the relevant MDG target.28
28.
MDG 4; Target 4.A: Reduce by two thirds, between 1990 and 2015, the under-five mortality rate.
49
Table 1
2013
1. Life expectancy and mortality
Member State
Life expectancy at birth a
(years)
Both sexes
Life expectancy at age 60 a
(years)
Male
Female
Both sexes
Male
Female
1990
2011
1990
2011
1990
2011
1990
2011
1990
2011
1990
2011
Afghanistan
49
60
48
59
49
61
14
16
13
15
15
16
Albania
69
74
67
73
71
75
16
19
15
18
18
20
Algeria
67
73
66
71
68
74
18
19
17
18
19
20
Andorra
77
82
74
79
81
85
22
25
19
23
24
27
Angola
41
51
39
50
43
53
14
16
13
15
14
16
Antigua and Barbuda
70
75
69
73
71
76
17
22
17
21
17
23
Argentina
73
76
69
72
76
79
20
21
17
19
22
23
Armenia
67
71
63
67
71
75
16
17
14
15
18
19
Australia
77
82
74
80
80
84
21
25
19
23
23
26
Austria
76
81
73
78
79
84
21
24
18
22
22
26
Azerbaijan
63
71
60
69
66
74
17
19
15
17
18
20
Bahamas
71
75
68
72
74
78
20
22
18
21
21
24
Bahrain
73
79
73
78
74
80
18
22
18
21
18
23
Bangladesh
60
70
60
69
59
70
17
18
17
18
17
18
Barbados
74
78
71
75
77
80
20
23
18
21
22
25
Belarus
71
71
66
66
76
77
19
18
16
14
21
21
Belgium
76
80
73
78
80
83
21
24
18
22
23
25
Belize
73
74
71
71
75
76
21
21
20
20
22
22
Benin
48
57
45
56
50
59
15
16
14
16
16
17
Bhutan
55
67
53
66
56
69
16
18
15
18
16
19
Bolivia (Plurinational State of)
59
67
57
65
60
69
16
18
15
17
17
19
Bosnia and Herzegovina
73
76
70
74
76
78
18
20
17
19
19
21
Botswana
65
66
63
64
66
67
16
17
15
16
17
18
Brazil
67
74
64
71
70
78
18
21
17
19
19
23
Brunei Darussalam
74
77
71
76
76
78
19
21
17
20
21
21
Bulgaria
71
74
68
71
75
78
18
20
16
17
20
22
Burkina Faso
47
56
45
54
49
57
13
15
12
14
13
15
Burundi
48
53
47
52
50
54
15
16
14
15
15
16
Cambodia
56
65
54
64
58
66
15
16
14
15
16
17
Cameroon
54
53
52
51
55
54
16
16
15
15
16
17
Canada
77
82
74
80
80
84
22
25
19
23
24
26
Cape Verde
69
72
67
68
70
76
20
19
20
18
20
21
Central African Republic
47
48
45
47
49
50
15
16
14
15
16
16
Chad
48
51
46
50
51
53
15
15
14
14
16
16
Chile
73
79
69
76
76
82
19
23
17
21
21
25
China
69
76
67
74
71
77
18
20
16
19
19
21
Colombia
71
78
68
74
75
81
21
24
20
23
22
25
Comoros
56
62
54
60
58
63
15
16
14
15
16
17
Congo
56
58
55
57
58
59
17
17
16
16
17
18
Cook Islands
70
77
67
73
73
82
17
23
17
19
19
26
Costa Rica
77
79
75
77
79
81
22
23
21
22
23
25
Côte d'Ivoire
51
56
49
55
53
58
16
17
15
16
16
17
Croatia
73
77
69
74
76
80
18
21
16
19
20
23
Cuba
74
78
73
76
76
80
20
22
19
21
21
23
Cyprus
76
81
74
79
79
84
20
24
19
23
22
25
Czech Republic
72
78
68
75
76
81
17
22
15
19
20
23
Democratic People's Republic of Korea
70
69
66
65
73
72
17
17
15
14
19
19
Democratic Republic of the Congo
48
49
46
48
49
51
15
15
14
15
15
16
Denmark
75
79
72
77
78
82
20
23
18
21
22
24
50
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
MDG 4
Stillbirth
rate b
(per 1000
total births)
Neonatal
mortality rate c
(per 1000
live births)
Infant mortality rate c
(probability of dying by age
1 per 1000 live births)
Both sexes
2009
Under-five mortality rate c
(probability of dying by age 5
per 1000 live births)
Both sexes
Adult mortality rate a
(probability of dying between 15 and
60 years of age per 1000 population)
Both sexes
Male
Member State
Female
1990
2011
1990
2000
2011
1990
2000
2011
1990
2011
1990
2011
29
50
36
129
95
73
192
136
101
398
289
366
245
5
17
7
36
23
13
41
26
14
158
123
104
87
Albania
11
29
17
54
39
26
66
46
30
182
123
160
100
Algeria
Afghanistan
3
2
1
7
4
3
8
5
3
143
93
60
44
Andorra
25
53
43
144
119
96
243
199
158
509
383
418
331
Angola
7
13
4
23
13
6
27
15
8
204
203
145
164
Antigua and Barbuda
5
16
7
24
18
13
28
20
14
196
154
102
85
Argentina
15
23
11
40
26
16
47
30
18
279
228
135
94
Armenia
3
5
3
8
5
4
9
6
5
124
80
66
46
Australia
4
4
2
8
5
4
9
6
4
153
94
74
49
Austria
12
31
19
75
57
39
95
69
45
288
175
161
85
Azerbaijan
9
9
7
18
14
14
22
17
16
262
190
147
116
Bahamas
9
7
4
18
11
9
21
12
10
105
69
107
51
Bahrain
36
52
26
97
62
37
139
84
46
196
163
211
136
Bangladesh
9
9
10
16
15
18
18
17
20
188
122
109
70
Barbados
4
8
3
14
11
4
17
14
6
282
307
107
103
Belarus
3
4
2
9
5
4
10
6
4
139
102
75
59
Belgium
12
18
8
35
22
15
44
26
17
165
210
101
139
Belize
24
40
31
107
87
68
177
140
106
478
326
375
270
Benin
22
44
25
96
65
42
138
89
54
335
210
284
157
Bhutan
17
37
22
83
59
39
120
81
51
283
222
228
165
Bolivia (Plurinational State of)
4
12
5
17
8
7
19
10
8
181
141
86
66
Bosnia and Herzegovina
16
21
11
41
51
20
53
81
26
274
301
212
238
Botswana
10
27
10
49
31
14
58
36
16
270
202
149
100
Brazil
6
7
4
9
7
6
12
10
7
147
105
110
71
Brunei Darussalam
7
12
7
19
18
11
22
21
12
216
194
97
86
Bulgaria
26
41
34
105
95
82
208
182
146
459
298
355
236
Burkina Faso
28
49
43
110
100
86
183
165
139
418
370
356
321
Burundi
18
37
19
85
76
36
117
102
43
360
260
292
220
Cambodia
26
36
33
90
86
79
145
140
127
351
415
296
372
Cameroon
3
4
4
7
5
5
8
6
6
132
84
71
53
Canada
16
21
10
45
32
18
58
39
21
248
269
150
103
Cape Verde
24
46
46
112
112
108
169
172
164
530
466
424
420
Central African Republic
29
47
42
113
105
97
208
189
169
417
373
301
311
Chad
9
9
5
16
9
8
19
11
9
196
113
98
58
Chile
10
23
9
39
29
13
49
35
15
171
112
125
81
China
6
19
11
28
21
15
34
25
18
230
154
115
76
Colombia
27
40
32
86
72
59
122
100
79
347
275
284
229
Comoros
26
35
32
75
70
64
119
109
99
364
332
291
287
Congo
9
9
5
16
15
8
19
17
10
252
168
154
77
Cook Islands
5
10
6
15
11
9
17
13
10
129
114
86
66
Costa Rica
27
47
41
104
95
81
151
139
115
411
348
346
310
Côte d'Ivoire
3
8
3
11
7
4
13
8
5
224
140
89
60
Croatia
8
7
3
11
7
5
13
9
6
155
119
111
75
Cuba
3
5
1
10
5
3
11
7
3
110
79
61
38
Cyprus
3
10
2
13
6
3
14
7
4
230
132
95
60
Czech Republic
13
22
17
23
42
26
45
58
33
176
203
91
131
Democratic People's Republic of Korea
29
49
47
117
117
111
181
181
168
425
411
365
358
Democratic Republic of the Congo
2
4
2
7
5
3
9
6
4
152
103
99
62
Denmark
51
Table 1
2013
1. Life expectancy and mortality
Member State
Life expectancy at birth a
(years)
Both sexes
Life expectancy at age 60 a
(years)
Male
Female
Both sexes
Male
Female
1990
2011
1990
2011
1990
2011
1990
2011
1990
2011
1990
2011
Djibouti
55
58
53
57
56
60
15
15
14
15
16
16
Dominica
73
74
71
72
75
77
20
21
19
21
21
22
Dominican Republic
69
73
68
72
70
73
19
20
19
20
19
20
Ecuador
70
76
67
73
72
79
20
23
19
22
21
24
Egypt
63
73
62
71
64
75
15
18
15
17
16
20
El Salvador
66
72
61
68
70
76
19
21
19
20
20
22
Equatorial Guinea
47
54
46
53
49
55
15
15
14
15
15
16
Eritrea
49
61
47
59
51
64
12
15
11
13
13
16
Estonia
70
76
65
71
75
81
18
22
15
18
20
24
Ethiopia
46
60
43
59
48
62
15
17
14
16
15
18
Fiji
66
70
64
67
68
72
15
17
14
15
16
18
Finland
75
81
71
78
79
84
20
24
17
22
22
26
France
78
82
73
78
82
85
22
25
20
23
25
27
Gabon
61
62
59
61
63
64
17
18
16
17
18
19
Gambia
52
58
51
57
54
60
13
13
13
13
13
14
Georgia
69
72
66
68
73
76
18
18
17
16
19
20
Germany
76
81
72
78
79
83
20
24
18
22
22
25
Ghana
57
64
55
62
58
65
16
18
16
17
17
19
Greece
77
81
75
78
80
84
21
24
20
22
23
26
Grenada
71
74
69
71
74
77
19
21
17
19
20
22
Guatemala
63
69
61
66
66
73
18
20
17
20
19
21
Guinea
44
55
43
54
45
56
14
16
13
15
14
17
Guinea-Bissau
45
50
43
48
46
52
14
15
13
14
15
16
Guyana
63
63
59
60
66
67
16
15
14
13
18
17
Haiti
54
63
53
61
56
64
15
16
14
16
15
17
Honduras
67
74
65
72
69
76
18
21
17
20
19
22
Hungary
69
75
65
71
74
79
17
20
15
17
19
22
Iceland
78
82
75
81
81
84
22
24
20
23
24
26
India
58
65
58
64
59
67
15
17
14
16
16
18
Indonesia
62
69
60
68
63
71
16
18
15
17
17
19
Iran (Islamic Republic of)
60
73
56
72
64
75
16
20
16
19
16
20
Iraq
67
69
62
65
72
72
19
18
17
15
21
20
Ireland
75
81
72
79
78
83
19
24
17
22
21
25
Israel
77
82
75
80
79
84
21
25
20
23
22
26
Italy
77
82
74
80
80
85
21
25
19
23
23
27
Jamaica
70
75
66
71
74
78
19
22
18
20
21
23
Japan
79
83
76
79
82
86
23
26
20
23
25
28
Jordan
70
74
69
72
72
75
19
19
18
19
19
20
Kazakhstan
66
67
61
62
70
72
17
16
15
14
19
18
Kenya
60
60
58
58
62
61
17
17
16
16
18
18
Kiribati
64
67
63
65
65
71
19
21
18
22
20
20
Kuwait
73
80
71
80
75
80
18
23
17
23
19
23
Kyrgyzstan
65
69
62
65
69
72
18
17
16
16
19
19
Lao People's Democratic Republic
54
68
53
66
55
69
15
17
14
16
16
18
Latvia
70
74
64
69
75
78
18
20
15
16
20
22
Lebanon
66
74
62
72
70
76
17
18
15
17
18
20
Lesotho
60
50
58
49
62
50
16
16
15
15
16
17
Liberia
40
59
37
58
43
60
13
16
12
15
14
16
Libya
67
65
65
58
70
74
16
19
15
17
18
21
52
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
MDG 4
Stillbirth
rate b
(per 1000
total births)
Neonatal
mortality rate c
(per 1000
live births)
Infant mortality rate c
(probability of dying by age
1 per 1000 live births)
Both sexes
Under-five mortality rate c
(probability of dying by age 5
per 1000 live births)
Both sexes
Adult mortality rate a
(probability of dying between 15 and
60 years of age per 1000 population)
Both sexes
Male
Member State
Female
2009
1990
2011
1990
2000
2011
1990
2000
2011
1990
2011
1990
2011
34
39
33
94
83
72
122
106
90
375
352
315
308
11
12
8
14
13
11
17
15
12
194
222
145
118
Dominica
12
26
14
45
31
21
58
39
25
183
165
155
148
Dominican Republic
12
19
10
41
28
20
52
34
23
219
162
141
89
Ecuador
13
20
7
63
36
18
86
44
21
232
141
178
85
Egypt
14
18
6
47
28
13
60
34
15
327
294
162
138
El Salvador
17
47
37
118
98
80
190
152
118
427
369
369
331
Equatorial Guinea
21
32
21
86
64
46
138
98
68
528
347
441
259
Eritrea
4
12
2
16
8
3
20
11
4
301
207
107
69
Estonia
26
52
31
118
86
52
198
139
77
475
306
377
265
Ethiopia
13
12
8
25
19
14
30
22
16
268
244
195
153
Fiji
2
4
2
6
4
2
7
4
3
183
116
70
51
Finland
Djibouti
4
3
2
7
4
3
9
5
4
162
113
67
53
France
17
32
24
69
60
49
94
82
66
281
300
228
266
Gabon
26
44
34
78
67
58
165
130
101
348
295
297
237
Gambia
17
27
15
40
29
18
47
33
21
240
227
109
88
Georgia
2
4
2
7
4
3
9
5
4
157
96
77
51
Germany
22
38
29
76
64
52
121
99
78
318
252
275
217
Ghana
3
9
3
12
7
4
13
8
4
117
102
56
43
Greece
11
10
7
17
13
10
21
16
13
215
196
150
122
Grenada
10
28
15
56
37
24
78
48
30
288
282
198
155
Guatemala
24
52
39
135
105
79
228
175
126
451
348
396
294
Guinea
30
50
44
125
111
98
210
186
161
455
405
396
352
Guinea-Bissau
17
29
20
48
39
29
63
49
36
371
379
231
258
Guyana
15
37
25
99
73
53
143
102
70
341
258
286
223
Haiti
18
22
11
43
29
18
55
35
21
222
163
163
114
Honduras
4
13
4
17
10
5
19
11
6
304
208
133
93
Hungary
2
3
1
5
3
2
6
4
3
112
64
69
38
Iceland
22
47
32
81
64
47
114
88
61
302
247
243
159
India
15
29
15
54
38
25
82
53
32
286
200
243
166
Indonesia
13
27
14
47
35
21
61
44
25
380
154
213
85
Iran (Islamic Republic of)
9
23
20
37
34
31
46
43
38
270
207
120
116
Iraq
3
5
2
8
6
3
9
7
4
133
85
81
51
Ireland
3
6
2
10
6
4
12
7
4
107
75
71
44
Israel
3
6
2
8
5
3
10
6
4
129
73
60
40
Italy
13
19
11
28
22
16
35
26
18
252
188
135
103
Jamaica
3
3
1
5
3
2
6
5
3
109
84
53
46
Japan
13
19
12
31
24
18
37
28
21
189
146
142
99
Jordan
5
24
14
48
37
25
57
42
28
318
337
150
152
Kazakhstan
22
32
27
64
70
48
98
113
73
295
346
233
294
Kenya
13
28
19
64
50
38
88
65
47
246
340
226
164
Kiribati
5
10
5
14
11
9
17
13
11
141
61
89
44
Kuwait
10
28
16
58
41
27
70
47
31
290
279
156
135
Kyrgyzstan
14
38
17
102
60
34
148
81
42
351
204
303
164
Lao People's Democratic Republic
4
13
5
17
15
7
21
17
8
311
237
118
89
Latvia
9
16
5
27
16
8
33
19
9
309
148
163
99
Lebanon
25
45
39
71
83
63
88
117
86
303
583
247
541
Lesotho
27
49
27
161
112
58
241
164
78
602
331
461
292
Liberia
10
21
10
33
22
13
44
27
16
233
411
164
134
Libya
53
Table 1
2013
1. Life expectancy and mortality
Member State
Life expectancy at birth a
(years)
Both sexes
Life expectancy at age 60 a
(years)
Male
Female
Both sexes
Male
Female
1990
2011
1990
2011
1990
2011
1990
2011
1990
2011
1990
2011
Lithuania
71
74
66
68
76
79
19
20
17
17
21
23
Luxembourg
76
82
72
79
79
84
20
24
18
22
23
26
Madagascar
52
66
50
65
53
68
15
18
15
18
16
19
Malawi
47
58
45
57
48
58
15
17
14
16
15
18
Malaysia
71
74
69
72
74
76
18
19
16
18
19
20
Maldives
58
77
60
76
57
78
14
20
15
20
13
20
Mali
43
51
41
50
44
53
12
14
12
13
13
14
Malta
76
80
74
79
78
82
19
23
18
22
21
24
Marshall Islands
62
60
59
59
65
60
15
12
13
13
18
12
Mauritania
56
59
54
57
58
60
14
14
13
14
14
15
Mauritius
70
74
66
70
73
78
17
20
15
18
19
22
Mexico
71
75
68
72
74
78
21
21
20
20
22
22
Micronesia (Federated States of)
66
69
65
67
67
70
17
17
16
16
17
18
Monaco
77
82
74
79
81
85
22
25
20
23
25
27
Mongolia
63
68
59
64
66
73
17
17
15
15
19
19
Montenegro
76
76
73
73
79
78
22
20
19
18
23
21
Morocco
65
72
63
70
66
74
17
18
16
17
17
20
Mozambique
43
53
42
52
45
53
14
16
13
16
15
17
Myanmar
58
65
56
63
60
67
15
17
15
16
16
17
Namibia
62
65
60
64
64
66
16
18
15
17
17
19
Nauru
70
71
66
68
74
76
17
17
15
14
19
19
Nepal
55
68
54
67
55
69
15
17
14
16
15
18
Netherlands
77
81
74
79
80
83
21
24
18
22
23
25
New Zealand
75
81
73
79
78
83
20
25
18
23
22
26
Nicaragua
71
73
69
70
74
76
22
21
21
19
24
22
Niger
40
56
40
55
41
57
13
14
13
14
13
14
Nigeria
46
53
45
52
47
54
15
16
14
15
15
16
Niue
75
72
71
65
79
82
21
20
19
16
22
25
Norway
77
81
74
79
80
83
21
24
18
22
23
26
Oman
70
72
69
70
72
76
20
17
19
15
20
19
Pakistan
61
67
60
66
62
68
17
18
17
17
18
18
Palau
68
72
63
68
75
77
18
19
15
16
21
22
Panama
73
77
72
74
75
80
21
23
20
22
22
24
Papua New Guinea
56
63
54
61
59
65
13
15
12
13
15
17
Paraguay
73
75
70
72
75
78
21
21
19
20
22
23
Peru
70
77
68
75
72
78
21
22
20
21
22
23
Philippines
66
69
63
66
70
73
18
18
17
16
19
19
Poland
71
76
67
72
76
81
18
21
15
18
20
23
Portugal
74
80
71
77
78
83
20
23
18
21
22
25
Qatar
75
82
75
83
75
81
19
25
20
27
19
24
Republic of Korea
72
81
68
77
76
84
18
24
15
21
20
26
Republic of Moldova
68
71
64
67
71
75
17
18
16
15
18
19
Romania
70
74
66
70
73
78
18
20
17
17
19
22
Russian Federation
69
69
63
63
74
75
18
18
15
14
20
20
Rwanda
43
60
41
58
46
61
15
16
14
16
16
17
Saint Kitts and Nevis
68
74
65
71
71
77
17
19
16
17
19
21
Saint Lucia
72
75
70
71
74
79
20
21
19
19
20
23
Saint Vincent and the Grenadines
71
74
68
71
74
76
19
21
18
19
21
22
Samoa
66
73
64
70
69
76
16
19
14
16
17
21
54
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
MDG 4
Stillbirth
rate b
(per 1000
total births)
Neonatal
mortality rate c
(per 1000
live births)
Infant mortality rate c
(probability of dying by age
1 per 1000 live births)
Both sexes
2009
1990
4
3
Under-five mortality rate c
(probability of dying by age 5
per 1000 live births)
Both sexes
2000
Adult mortality rate a
(probability of dying between 15 and
60 years of age per 1000 population)
Both sexes
2011
1990
2000
9
5
17
12
4
2
8
5
67
43
161
104
98
53
227
164
9
6
17
11
Male
2011
Member State
Female
2011
1990
1990
2011
1990
2011
10
3
14
4
1
7
6
287
267
107
92
Lithuania
3
160
84
79
52
Luxembourg
21
40
23
98
24
48
27
134
62
365
213
315
167
Madagascar
83
407
384
332
347
6
9
3
15
Malawi
7
209
174
128
90
Malaysia
13
36
6
76
41
9
105
53
11
256
91
322
61
Maldives
23
58
49
132
114
98
257
214
176
476
369
395
304
Mali
3
7
4
10
7
5
11
8
6
107
77
62
42
Malta
15
19
12
41
31
22
52
38
26
385
433
329
392
Marshall Islands
27
43
40
81
78
76
125
118
112
320
287
250
218
Mauritania
9
16
9
21
16
13
24
19
15
263
208
121
94
Mauritius
5
17
7
38
24
13
49
29
16
215
177
120
95
Mexico
14
21
17
44
39
34
56
49
42
212
177
188
152
Micronesia (Federated States of)
3
4
2
6
4
3
8
5
4
155
110
67
51
Monaco
11
27
12
76
49
26
107
63
31
245
309
187
147
Mongolia
3
11
5
16
11
7
18
13
7
164
154
73
81
Montenegro
20
35
19
64
44
28
81
53
33
215
141
158
89
Morocco
28
53
34
151
116
72
226
172
103
480
457
398
421
Mozambique
20
42
30
77
62
48
107
84
62
320
231
270
181
Myanmar
15
29
18
49
48
30
73
74
42
288
282
228
242
Namibia
17
22
22
32
32
32
40
40
40
181
105
106
57
Nauru
23
51
27
94
62
39
135
83
48
338
183
322
157
Nepal
3
5
3
7
5
3
8
6
4
116
72
67
55
Netherlands
4
4
3
9
6
5
11
7
6
143
85
93
55
New Zealand
14
25
12
50
34
22
66
42
26
170
204
122
119
Nicaragua
23
49
32
133
97
66
314
216
125
428
312
377
272
Niger
42
51
39
127
113
78
214
188
124
411
393
360
360
Nigeria
12
7
10
12
25
18
14
29
21
156
292
62
33
Niue
2
4
2
7
4
3
8
5
3
128
77
65
49
Norway
7
21
5
36
18
7
48
22
9
181
157
136
78
Oman
47
48
36
95
76
59
122
95
72
218
186
195
152
Pakistan
12
14
9
27
20
14
32
25
19
289
231
112
109
Palau
10
14
9
26
21
17
33
26
20
146
148
101
82
Panama
15
29
23
64
54
45
88
72
58
433
312
329
235
Papua New Guinea
19
24
13
41
29
19
53
35
22
137
176
99
97
Paraguay
10
26
9
54
30
14
75
39
18
162
119
122
93
Peru
16
22
12
40
29
20
57
39
25
271
256
153
137
Philippines
3
11
3
15
8
5
17
10
6
263
191
102
72
Poland
3
7
2
11
6
3
15
7
3
176
117
80
50
Portugal
8
10
4
17
11
6
20
13
8
94
74
82
52
Qatar
3
3
2
6
5
4
8
6
5
236
102
102
42
Republic of Korea
9
15
8
29
20
14
35
24
16
285
269
155
109
Republic of Moldova
4
17
8
31
23
11
37
27
13
239
209
114
84
Romania
10
13
6
23
18
10
27
21
12
318
351
117
131
Russian Federation
23
39
21
95
109
38
156
183
54
581
344
479
291
Rwanda
10
17
5
22
13
6
28
16
7
272
170
193
83
Saint Kitts and Nevis
15
13
9
18
15
14
23
18
16
208
180
148
88
Saint Lucia
10
16
13
21
19
20
27
22
21
217
176
140
115
Saint Vincent and the Grenadines
10
11
8
25
19
16
30
23
19
295
177
188
105
Samoa
55
Table 1
2013
1. Life expectancy and mortality
Member State
Life expectancy at birth a
(years)
Both sexes
Life expectancy at age 60 a
(years)
Male
Female
Both sexes
Male
Female
1990
2011
1990
2011
1990
2011
1990
2011
1990
2011
1990
2011
San Marino
79
83
76
82
83
83
23
25
20
24
25
25
Sao Tome and Principe
61
63
60
62
62
65
17
18
17
17
17
18
Saudi Arabia
69
75
67
74
71
77
17
19
16
18
18
21
Senegal
54
61
53
60
55
62
13
13
13
13
13
14
Serbia
72
74
69
72
75
77
19
19
17
17
20
20
Seychelles
69
74
64
69
75
78
17
20
14
17
21
23
Sierra Leone
39
47
39
46
40
47
11
11
11
11
10
10
Singapore
75
82
73
80
78
85
20
25
18
23
21
26
Slovakia
71
76
67
72
75
80
18
20
15
18
20
23
Slovenia
74
80
70
77
78
83
20
23
17
21
22
25
Solomon Islands
62
70
62
68
62
71
15
17
15
16
16
18
Somalia
46
50
44
48
48
52
14
15
14
15
15
16
South Africa
63
58
59
57
67
60
16
17
14
15
18
18
South Sudan
45
54
44
53
46
55
14
16
14
16
15
17
Spain
77
82
73
79
80
85
21
25
19
22
23
27
Sri Lanka
69
75
64
71
74
78
20
20
18
18
21
22
Sudan
55
62
53
60
57
64
16
17
16
17
17
18
Sudan (former)
…
…
…
…
…
…
…
…
…
…
…
…
Suriname
67
72
64
69
70
76
17
20
16
18
19
22
Swaziland
61
50
59
49
62
51
16
16
15
15
17
17
Sweden
78
82
75
80
80
84
21
24
19
23
23
25
Switzerland
78
83
74
80
81
85
22
25
19
23
24
27
Syrian Arab Republic
71
75
70
73
72
77
19
20
18
19
19
21
Tajikistan
63
68
62
67
64
69
18
17
17
17
18
17
Thailand
67
74
64
71
71
77
17
21
15
19
18
22
The former Yugoslav Republic of Macedonia
72
75
70
73
75
77
19
19
18
18
20
20
Timor-Leste
48
64
47
63
49
65
13
16
13
15
14
17
Togo
53
56
51
55
55
58
16
17
15
16
16
17
Tonga
68
72
64
73
73
70
16
19
14
18
19
19
Trinidad and Tobago
69
71
66
66
71
75
18
18
16
16
19
21
Tunisia
70
76
69
74
72
78
19
20
18
19
19
21
Turkey
66
76
64
73
68
78
17
20
16
18
18
22
Turkmenistan
62
63
59
60
65
67
16
16
14
15
17
17
Tuvalu
62
64
60
65
63
64
14
15
13
14
16
15
Uganda
43
56
40
54
46
57
15
17
14
16
16
17
Ukraine
70
71
66
65
75
76
18
18
16
15
20
20
United Arab Emirates
71
76
70
75
73
77
18
19
17
18
18
19
United Kingdom
76
80
73
79
79
82
20
24
18
22
22
25
United Republic of Tanzania
51
59
50
58
53
61
16
17
15
17
16
18
United States of America
75
79
72
76
79
81
21
23
19
21
23
24
Uruguay
73
77
69
73
76
80
19
21
17
19
21
24
Uzbekistan
66
68
63
66
70
71
18
17
16
16
20
18
Vanuatu
66
72
64
71
67
74
16
18
16
17
17
19
Venezuela (Bolivarian Republic of)
72
75
70
72
74
79
20
23
19
21
21
24
Viet Nam
67
75
65
73
69
77
18
21
17
20
19
22
Yemen
55
64
54
63
57
66
14
17
13
16
15
17
Zambia
45
55
43
54
46
56
15
16
15
16
16
17
Zimbabwe
60
54
57
53
62
55
18
18
17
17
18
19
56
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
MDG 4
Stillbirth
rate b
(per 1000
total births)
Neonatal
mortality rate c
(per 1000
live births)
Infant mortality rate c
(probability of dying by age
1 per 1000 live births)
Both sexes
2009
1990
2011
Under-five mortality rate c
(probability of dying by age 5
per 1000 live births)
Both sexes
1990
2000
Adult mortality rate a
(probability of dying between 15 and
60 years of age per 1000 population)
Both sexes
2011
1990
2000
Male
2011
1990
Member State
Female
2011
1990
2011
3
5
1
11
5
2
12
5
2
80
56
40
46
San Marino
22
31
29
62
60
58
96
93
89
267
234
231
189
Sao Tome and Principe
8
20
5
34
18
8
43
21
9
178
92
131
70
Saudi Arabia
34
40
26
69
67
47
136
130
65
346
293
295
239
Senegal
5
15
4
25
11
6
29
13
7
184
175
94
86
Serbia
9
10
9
14
12
12
17
14
14
317
220
127
101
Seychelles
30
58
49
158
146
119
267
241
185
526
459
506
438
Sierra Leone
2
4
1
6
3
2
8
4
3
152
72
93
41
Singapore
4
12
4
16
10
7
18
12
8
269
170
103
70
Slovakia
3
5
2
9
5
2
10
5
3
207
118
81
51
Slovenia
15
17
10
34
25
18
42
31
22
309
201
281
159
Solomon Islands
30
50
50
108
108
108
180
180
180
489
399
384
316
Somalia
20
26
19
48
52
35
62
74
47
334
474
190
407
South Africa
…
50
38
129
100
76
217
165
121
447
378
390
344
South Sudan
Spain
3
7
3
9
6
4
11
7
4
146
91
60
41
17
16
8
24
16
11
29
19
12
318
191
128
77
Sri Lanka
…
38
31
77
67
57
123
104
86
360
279
279
216
Sudan
24
…
…
…
…
…
…
…
…
…
…
…
…
Sudan (former)
15
24
16
44
35
26
52
40
30
265
194
175
111
Suriname
18
32
35
61
77
69
83
114
104
306
558
248
504
Swaziland
3
3
1
6
3
2
7
4
3
114
71
66
44
Sweden
Switzerland
3
4
3
7
5
4
8
6
4
126
69
62
41
12
18
9
30
19
13
36
23
15
175
132
128
75
Syrian Arab Republic
12
35
25
89
76
53
114
95
63
217
180
180
156
Tajikistan
4
18
8
29
16
11
35
19
12
285
207
158
102
Thailand
6
17
6
34
14
9
38
16
10
153
137
87
74
The former Yugoslav Republic of Macedonia
14
48
24
135
86
46
180
109
54
442
259
399
224
Timor-Leste
25
42
36
85
79
73
147
128
110
373
359
307
313
Togo
9
12
8
21
17
13
25
20
15
314
123
128
242
Tonga
9
23
18
32
28
25
37
32
28
241
222
157
104
Trinidad and Tobago
10
23
9
40
25
14
51
30
16
146
134
102
72
Tunisia
11
29
9
60
28
12
72
35
15
209
123
144
68
Turkey
13
31
22
75
59
45
94
71
53
301
375
192
201
Turkmenistan
12
22
14
45
35
25
58
43
30
273
251
280
283
Tuvalu
25
39
28
106
86
58
178
141
90
644
410
516
363
Uganda
8
8
5
17
16
9
19
19
10
287
310
112
120
Ukraine
4
12
4
19
11
6
22
12
7
158
85
114
64
United Arab Emirates
4
5
3
8
6
4
9
7
5
129
91
78
57
United Kingdom
26
41
25
97
78
45
158
126
68
405
363
338
322
United Republic of Tanzania
3
6
4
9
7
6
11
9
8
172
131
91
77
United States of America
9
11
5
20
15
9
23
17
10
196
152
98
80
Uruguay
6
20
15
62
51
42
75
61
49
250
213
144
132
Uzbekistan
13
16
7
31
20
11
39
23
13
258
166
210
117
Vanuatu
11
15
8
26
19
13
31
22
15
178
198
117
90
Venezuela (Bolivarian Republic of)
13
22
12
36
26
17
50
34
22
227
128
176
87
Viet Nam
23
43
32
89
71
57
126
99
77
358
234
295
185
Yemen
26
43
27
114
91
53
193
154
83
534
426
470
377
Zambia
20
32
30
53
63
43
79
106
67
395
501
287
473
Zimbabwe
57
Table 1
2013
1. Life expectancy and mortality
Member State
Life expectancy at birth a
(years)
Both sexes
Life expectancy at age 60 a
(years)
Male
Female
Both sexes
Male
Female
1990
2011
1990
2011
1990
2011
1990
2011
1990
2011
1990
2011
Minimum
39
47
37
46
40
47
11
11
11
11
10
10
Median
68
73
64
70
71
76
18
19
16
17
19
20
Maximum
79
83
76
83
83
86
23
26
21
27
25
28
African Region
50
56
48
55
51
58
15
16
14
16
16
17
Region of the Americas
71
76
68
73
75
79
20
22
18
21
22
24
South-East Asia Region
59
67
58
65
60
69
15
17
15
16
16
18
European Region
72
76
68
72
76
79
19
21
17
19
21
23
Eastern Mediterranean Region
61
68
59
67
63
70
17
18
16
17
17
19
Western Pacific Region
70
76
68
74
72
78
18
21
17
20
20
22
Low income
52
60
51
59
54
61
16
17
15
16
16
17
Lower middle income
59
66
58
64
61
68
16
17
15
16
17
18
Upper middle income
68
74
66
72
71
76
18
20
16
19
19
21
High income
76
80
72
78
79
83
21
24
18
22
23
26
Global
64
70
62
68
67
72
18
20
17
19
20
21
Ranges of country values
WHO region
Income group
a
Mortality Data. Geneva, World Health Organization, 2013 (http://www.who.int/gho/
mortality_burden_disease/life_tables/en/index.html).
b
Cousens S et al. (2011). National, regional, and worldwide estimates of stillbirth rates in
2009 with trends since 1995: a systematic analysis. Lancet, Apr 16, 377(9774):1319–
1330. Income-group aggregates are based on the 2010 World Bank list of economies.
c
Levels & Trends in Child Mortality. Report 2012. Estimates Developed by the UN Interagency Group for Child Mortality Estimation. New York, UNICEF, 2012 (http://www.
who.int/maternal_child_adolescent/documents/levels_trends_child_mortality_2012.
pdf).
58
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
MDG 4
Stillbirth
rate b
(per 1000
total births)
Neonatal
mortality rate c
(per 1000
live births)
Infant mortality rate c
(probability of dying by age
1 per 1000 live births)
Both sexes
2009
1990
2011
Under-five mortality rate c
(probability of dying by age 5
per 1000 live births)
Both sexes
1990
2000
Adult mortality rate a
(probability of dying between 15 and
60 years of age per 1000 population)
Both sexes
2011
1990
2000
Male
2011
1990
Member State
Female
2011
1990
2011
2
2
1
5
3
2
6
4
2
80
56
40
33
Minimum
12
20
10
36
27
17
47
32
20
257
201
149
104
Median
47
58
50
161
146
119
314
241
185
644
583
516
541
Maximum
28
45
34
106
93
68
175
153
107
414
362
339
317
African Region
7
18
8
33
23
13
42
27
16
204
160
114
89
Region of the Americas
22
44
29
77
59
42
109
81
55
291
230
234
155
South-East Asia Region
6
14
6
27
17
11
32
21
13
215
183
96
81
European Region
27
36
25
73
58
44
99
77
58
267
180
202
130
Eastern Mediterranean Region
10
21
9
37
27
13
48
34
16
173
118
120
81
Western Pacific Region
26
46
32
103
85
63
164
133
95
364
288
308
245
Low income
21
41
28
76
62
46
110
88
62
297
242
231
167
Lower middle income
9
22
10
40
30
16
51
37
20
213
161
131
97
Upper middle income
3
6
3
10
7
5
12
8
6
159
109
78
59
High income
19
32
22
61
51
37
87
73
51
240
190
166
129
Global
59
Table 1
2013
60
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2. Cause-specific mortality
and morbidity
Table 2 brings together indicators on the levels and distribution of the broad categories and morespecific causes of deaths. The three broad categories shown are communicable and noncommunicable conditions, and deaths caused by injury. Estimates are also provided of the number of
deaths among children under 5 years old, and the percentage distributions of the major causes of
such deaths. These causes include: HIV/AIDS, diarrhoea; other major communicable diseases such
as measles, malaria and pneumonia; conditions arising in the perinatal period such as prematurity,
birth asphyxia, neonatal sepsis and congenital anomalies; and deaths caused by other diseases
and by injury. Estimates are also given of age-standardized all-cause mortality rates among adults
aged 30–70 years and of the numbers of such deaths caused by cancer, cardiovascular disease
and diabetes, and chronic respiratory conditions. Table 2 also includes point estimates for key MDGrelated indicators, including maternal mortality, and mortality and morbidity caused by HIV/AIDS,
malaria and tuberculosis.
The cause-specific indicators presented in Table 2 have been derived from a range of sources of
mortality, incidence and prevalence data. These include: death-registration records; health-facility
reports; household surveys; censuses; and special studies on deaths due to HIV and to conflict.
Estimating cause-specific mortality is particularly difficult in developing countries where systems for
counting deaths and accurately recording their causes are weak or non-existent. Due to resulting
limitations in data availability, quality and timeliness, many of the indicators shown are associated
with significant uncertainty, the margins of which are available on the Global Health Observatory web
site (http://www.who.int/gho).
61
Table 2
2013
2. Cause-specific mortality and morbidity
Mortality
Distribution of causes of death among children aged < 5 years b
(%)
Injuries
Noncommunicable
Number of
Age-standardized
mortality rates by cause a deaths among
children
(per 100 000
aged < 5 years b
population)
(000s)
Communicable
Member State
2008
HIV
2000
2010
Diarrhoea
2000 2010
Pneumonia
Prematurity
2000
2010
2000
Measles
2010
2000
Malaria
2010
2000
2010
2000
2010
Afghanistan
713
1117
149
161
191
0
0
17
16
9
2
0
0
25
25
15
14
Albania
46
716
46
2
1
0
0
3
1
0
0
0
0
17
11
14
19
Algeria
202
523
47
28
26
0
0
7
5
9
11
0
0
15
12
24
24
Andorra
16
338
27
0
0
0
0
0
0
0
0
0
0
5
4
18
17
Angola
819
842
112
131
121
2
2
20
15
1
0
10
10
20
17
11
13
Antigua and Barbuda
86
548
46
0
0
0
0
0
0
0
0
0
0
0
0
0
16
Argentina
87
501
48
14
10
0
0
2
2
0
0
0
0
7
10
26
24
Armenia
74
902
50
1
1
0
0
3
1
0
0
0
0
15
11
24
25
Australia
18
330
30
2
1
0
0
0
0
0
0
0
0
2
3
16
20
Austria
14
373
34
0
0
0
0
0
0
0
0
0
0
1
2
24
25
Azerbaijan
102
935
36
9
9
0
0
11
8
0
0
0
0
18
17
21
22
Bahamas
91
457
54
0
0
3
1
2
0
0
0
0
0
15
27
13
9
Bahrain
63
590
33
0
0
0
0
1
0
0
0
0
0
1
2
18
19
Bangladesh
344
702
91
300
140
0
0
11
6
5
1
0
1
19
14
19
29
Barbados
86
488
31
0
0
3
0
0
0
0
0
0
0
0
7
35
21
Belarus
30
749
125
1
1
0
0
2
1
0
0
0
0
14
9
16
19
Belgium
33
367
42
1
1
0
0
1
1
0
0
0
0
2
1
20
14
Belize
119
497
92
0
0
2
0
5
10
0
0
0
0
14
7
24
0
Benin
618
804
87
38
39
1
1
10
10
10
0
25
23
15
17
10
12
Bhutan
359
735
105
1
1
0
0
12
7
2
1
1
0
20
20
18
23
Bolivia (Plurinational State of)
253
644
64
21
14
0
0
14
9
0
0
0
0
17
15
17
21
Bosnia and Herzegovina
22
584
29
0
0
0
0
1
1
1
1
0
0
10
9
19
23
Botswana
739
606
107
5
2
48
15
4
6
1
0
1
0
8
13
13
19
Brazil
97
534
76
134
55
0
0
9
3
0
0
0
0
12
7
22
22
Brunei Darussalam
55
520
24
0
0
0
0
0
0
0
0
0
0
6
5
24
25
Bulgaria
31
693
42
1
1
0
0
1
1
0
0
0
0
22
24
13
21
Burkina Faso
801
810
108
101
120
2
1
13
12
10
3
25
24
17
18
8
9
Burundi
943
839
124
39
38
7
6
17
15
2
0
4
4
21
19
11
13
Cambodia
478
748
65
33
16
3
1
13
8
8
0
2
2
19
16
15
22
Cameroon
861
879
111
82
93
6
5
13
13
6
0
16
16
16
15
10
11
Canada
23
346
32
2
2
0
0
0
0
0
0
0
0
2
1
23
26
Cape Verde
213
538
71
1
0
0
0
15
8
4
0
0
0
21
19
16
15
Central African Republic
1060
870
151
25
23
9
3
11
11
8
0
22
26
15
16
9
11
Chad
1009
866
119
68
80
3
3
14
14
7
0
18
20
19
19
10
11
Chile
43
419
45
3
2
0
0
1
1
0
0
0
0
12
7
23
22
China
58
604
70
674
315
0
0
5
3
0
0
0
0
25
17
14
15
Colombia
64
404
97
24
18
0
0
5
4
0
0
0
0
11
10
25
21
Comoros
472
789
76
2
2
0
0
12
9
0
0
13
14
20
18
14
15
Congo
692
811
140
12
13
6
5
8
7
11
0
22
26
14
14
11
13
Cook Islands
109
455
31
0
0
0
0
1
1
0
0
0
0
7
5
15
18
Costa Rica
32
409
56
1
1
0
0
4
1
0
0
0
0
7
3
21
20
Côte d'Ivoire
904
942
172
88
80
9
3
10
9
6
0
21
25
15
15
11
13
Croatia
20
560
48
0
0
0
0
1
0
0
0
0
0
5
3
20
13
Cuba
47
468
48
1
1
0
0
2
2
0
0
0
0
11
11
10
10
Cyprus
17
371
31
0
0
0
0
0
0
0
0
0
0
5
3
24
25
Czech Republic
25
496
43
1
0
0
0
0
1
0
0
0
0
6
5
16
17
Democratic People's Republic of Korea
264
548
46
24
12
0
0
10
5
0
0
0
0
17
15
21
25
Democratic Republic of the Congo
932
837
155
415
465
1
1
15
13
4
0
20
18
18
19
11
10
Denmark
27
440
33
0
0
0
0
0
0
0
0
0
0
5
2
29
34
62
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Mortality
Member State
Table 2
Cardiovascular
dieases and
diabetes
Chronic
respiratory
conditions
Cancer
Age-standardized adult
mortality rate by cause a
(ages 30-70 per 100 000 population)
All causes
Distribution of causes of death among children aged < 5 years b
(%)
Birth asphyxia
Neonatal sepsis
Congenital
anomalies
Other diseases
2000
2010
2000
2010
2000
2010
2000
2010
8
9
4
5
3
3
16
20
4
5
1663
131
634
69
9
7
5
5
21
24
19
20
12
11
518
168
215
10
Albania
12
11
3
3
10
13
15
15
4
5
591
127
200
48
Algeria
6
6
1
1
32
33
26
27
11
11
310
126
80
16
Andorra
7
8
5
6
4
7
16
19
3
4
1685
130
459
110
Angola
40
32
0
0
23
9
37
31
0
12
682
164
306
19
Antigua and Barbuda
6
4
5
5
24
27
21
21
9
7
553
165
165
39
Argentina
10
8
8
6
17
22
16
18
8
9
864
239
378
34
Armenia
10
9
2
1
28
24
31
35
11
8
278
125
65
11
Australia
7
6
1
1
38
32
19
29
9
6
335
140
80
10
Austria
9
9
4
3
8
10
25
24
5
6
918
188
489
29
Azerbaijan
16
6
5
5
20
12
15
32
12
8
629
126
228
15
Bahamas
Injuries
2000
2010
2008
Afghanistan
7
9
2
5
37
32
19
26
14
6
408
73
207
20
Bahrain
13
14
10
9
4
7
15
14
4
6
1210
183
421
97
Bangladesh
22
12
1
2
15
31
21
27
3
0
487
140
166
19
Barbados
8
8
4
3
28
34
19
18
10
7
1017
198
446
26
Belarus
10
8
2
3
27
27
30
37
8
8
369
151
85
19
Belgium
10
48
2
0
16
7
13
15
14
12
747
125
268
29
Belize
7
9
2
2
4
4
12
18
2
3
1528
161
413
102
Benin
11
12
7
4
4
7
17
20
8
7
1027
171
366
87
Bhutan
12
12
7
7
8
10
19
19
5
6
791
105
208
37
Bolivia (Plurinational State of)
9
10
5
5
31
31
17
16
7
5
498
137
266
13
Bosnia and Herzegovina
8
10
4
4
4
9
8
17
1
4
1633
66
293
70
Botswana
8
11
7
10
13
19
24
23
4
4
667
139
248
32
Brazil
5
4
6
4
26
29
19
22
13
11
480
107
219
26
Brunei Darussalam
8
10
3
2
27
18
19
19
6
5
687
196
339
16
Bulgaria
6
6
2
2
3
4
12
18
2
3
1497
143
377
94
Burkina Faso
8
9
7
8
2
3
17
20
4
5
1893
161
391
91
Burundi
10
11
7
6
3
6
16
20
4
7
1189
156
384
63
Cambodia
7
8
4
5
4
5
14
18
3
3
1846
122
473
115
Cameroon
10
11
4
2
25
23
29
31
7
6
320
138
82
11
Canada
6
6
8
6
13
16
8
24
8
5
772
144
235
55
Cape Verde
7
8
3
5
3
3
11
14
2
3
2275
121
483
116
Central African Republic
7
7
4
4
4
4
12
14
3
3
1841
130
461
111
Chad
4
3
3
3
34
36
15
20
8
8
414
125
114
17
Chile
18
16
2
1
7
11
19
25
9
10
568
179
199
49
China
9
8
6
7
15
21
21
23
6
6
493
112
152
21
Colombia
11
11
5
4
4
5
17
20
4
4
1194
140
393
92
Comoros
9
9
1
2
4
6
11
14
2
3
1468
113
391
95
Congo
16
13
4
4
26
29
16
18
16
13
559
63
275
38
Cook Islands
7
8
3
1
33
37
19
25
5
4
400
107
118
12
Costa Rica
9
10
5
5
4
4
10
13
2
3
2567
104
651
166
Côte d'Ivoire
6
3
4
6
35
29
23
37
6
8
531
203
179
8
Croatia
12
10
6
7
28
23
21
30
10
8
476
159
172
19
Cuba
7
6
1
1
32
34
23
23
7
6
243
75
99
7
Cyprus
13
14
3
6
22
22
32
28
8
7
501
191
164
13
Czech Republic
10
10
6
5
8
11
24
23
5
7
779
120
273
49
Democratic People's Republic of Korea
7
8
4
4
3
4
15
20
2
3
1765
138
399
95
Democratic Republic of the Congo
11
9
2
0
29
28
18
19
7
7
411
170
92
18
Denmark
63
2. Cause-specific mortality and morbidity (contd.)
Member State
Mortality
MDG 5
Maternal mortality ratio c
(per 100 000 live births)
MDG 6
Cause-specific mortality rate
(per 100 000 population)
HIV/AIDS d
Afghanistan
Malaria e
Tuberculosis among
HIV-negative people f
2000
1990
2000
2010
2001
2011
2010
2011
1 300
1 000
460
0.7
1.2
0.5
53
39
Albania
48
39
27
…
…
…
0.8
0.2
Algeria
220
140
97
…
…
0.0
13
13
Andorra
…
…
…
…
…
…
0.8
0.3
Angola
1 200
890
450
57
59
64
37
37
Antigua and Barbuda
…
…
…
…
…
…
1.6
1.0
Argentina
71
63
77
…
…
0.0
2.4
1.4
Armenia
46
38
30
5.5
9.4
0.0
6.7
8.8
Australia
10
9
7
0.8
0.8
…
0.2
0.2
Austria
10
5
4
0.3
0.9
…
0.9
0.4
Azerbaijan
56
65
43
1.7
5.1
0.0
22
3.6
Bahamas
52
56
47
230
107
…
2.0
0.6
Bahrain
23
22
20
…
…
…
1.8
0.6
Bangladesh
800
400
240
0.1
0.2
0.9
57
45
Barbados
120
49
51
35
9.5
…
0.6
0.6
Belarus
37
31
4
0.7
11
…
9.1
8.3
Belgium
10
9
8
0.4
0.9
…
0.7
0.2
Belize
71
100
53
88
76
0.0
6.6
4.3
Benin
770
530
350
95
30
104
13
9.2
Bhutan
15
1 000
430
180
0.5
5.3
0.1
73
Bolivia (Plurinational State of)
450
280
190
26
16
0.0
27
21
Bosnia and Herzegovina
18
10
8
…
…
…
6.7
6.8
Botswana
140
350
160
1015
207
0.9
54
24
Brazil
120
81
56
…
…
0.1
4.5
2.9
Brunei Darussalam
29
24
24
…
…
…
3.2
2.5
Bulgaria
24
28
11
0.9
3.1
…
4.2
2.5
Burkina Faso
700
450
300
121
40
191
13
8.7
Burundi
1 100
1 000
800
201
67
12
39
19
Cambodia
830
510
250
58
10
2.7
128
63
Cameroon
670
730
690
176
172
79
50
29
0.2
Canada
6
7
12
1.0
1.1
…
0.3
Cape Verde
200
170
79
46
32
0.1
33
24
Central African Republic
930
1 000
890
413
229
169
142
53
Chad
920
1 100
1 100
158
104
172
24
18
Chile
56
29
25
…
…
…
2.3
1.3
China
120
61
37
…
…
0.0
8.7
3.5
Colombia
170
130
92
23
21
0.4
3.4
1.9
Comoros
440
340
280
0.5
1.7
36
6.8
6.4
Congo
420
540
560
215
112
93
35
43
Cook Islands
…
…
…
…
…
…
0.9
0.6
0.7
Costa Rica
38
47
40
2.8
8.7
0.0
2.1
Côte d'Ivoire
710
590
400
299
113
116
55
24
Croatia
8
11
17
0.3
0.3
…
4.2
2.0
Cuba
63
63
73
2.0
1.4
…
0.5
0.3
Cyprus
17
15
10
…
…
…
0.2
0.1
Czech Republic
15
7
5
0.1
0.1
…
1.0
0.3
Democratic People's Republic of Korea
97
120
81
…
…
0.0
17
6.4
Democratic Republic of the Congo
930
770
540
…
…
119
60
54
Denmark
13
8
12
0.3
0.4
…
0.5
0.3
64
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Morbidity
Member State
MDG 6
HIV/AIDS d
Malaria e
Prevalence
(per 100 000 population)
Tuberculosis g
HIV/AIDS d
2001
2011
2010
2000
2011
2001
1.4
3.3
1 934
189
189
…
…
…
23
13
…
…
0.1
87
90
…
…
…
17
5.9
142
119
20 353
250
…
…
…
14
14
17
12
…
…
…
…
…
…
…
0.6
…
…
…
…
…
0.3
…
Tuberculosis g
2011
2000
2011
8.6
18
433
351
Afghanistan
…
…
28
14
Albania
…
…
136
139
Algeria
…
…
22
7.5
Andorra
310
909
1 165
366
413
Angola
4.6
6.9
…
…
5.8
5.3
Antigua and Barbuda
0.2
40
26
177
233
55
36
Argentina
…
61
55
114
115
89
78
Armenia
…
6.1
6.0
67
99
7.7
7.6
Australia
16
3.7
68
209
21
4.6
Austria
682
113
36
72
1 609
177
Azerbaijan
26
13
2 150
1 860
23
14
Bahamas
…
30
18
…
…
38
22
Bahrain
0.9
397
225
225
1.7
5.1
481
411
Bangladesh
…
…
2.3
…
452
508
2.7
…
Barbados
21
20
…
84
70
49
214
123
100
Belarus
…
…
…
14
8.1
91
191
17
10
Belgium
166
85
206
40
40
1 306
1 444
47
41
Belize
78
54
29 026
86
70
977
707
128
96
Benin
…
…
104
402
192
15
172
718
230
Bhutan
…
…
200
184
131
306
164
276
205
Bolivia (Plurinational State of)
…
…
…
63
49
…
…
76
66
Bosnia and Herzegovina
1 539
445
195
918
455
15 084
14 587
724
360
Botswana
…
…
221
60
42
…
…
72
46
Brazil
…
…
…
85
70
…
…
109
89
Brunei Darussalam
…
…
…
58
35
21
53
83
45
Bulgaria
102
42
32 892
71
57
1 223
695
109
85
Burkina Faso
…
…
9 911
289
139
2 038
932
368
192
Burundi
Cambodia
49
7.8
1 353
577
424
672
447
1 619
817
357
212
24 735
310
243
2 791
2 766
433
299
Cameroon
…
…
…
6.4
4.5
156
208
8.0
5.6
Canada
75
51
28
160
145
613
667
291
230
Cape Verde
399
182
34 521
1 074
400
4 538
2 804
1 225
510
Central African Republic
…
…
37 244
151
151
2 054
1 846
216
191
Chad
…
…
…
26
18
270
293
36
24
Chile
…
…
0.9
109
75
…
…
170
104
China
…
…
411
43
34
326
326
64
43
Colombia
Comoros
…
…
22 701
39
34
13
36
66
60
223
191
33 941
353
387
2 305
2 011
403
473
Congo
…
…
…
8.1
6.0
…
…
10
7.7
Cook Islands
Costa Rica
…
…
2.8
35
12
124
187
59
15
258
87
35 153
370
191
3 337
1 778
493
250
Côte d'Ivoire
…
…
…
43
17
16
27
54
22
Croatia
…
…
…
13
9.3
32
120
19
12
Cuba
…
…
…
4.4
4.0
…
…
5.7
5.1
Cyprus
…
…
…
16
6.0
13
20
21
7.7
Czech Republic
…
…
129
344
345
…
…
669
422
Democratic People's Republic of Korea
…
…
27 349
327
327
…
…
543
512
Democratic Republic of the Congo
…
…
…
11
6.5
65
110
14
8.1
Denmark
65
Table 2
Incidence rate
(per 100 000 population)
2. Cause-specific mortality and morbidity
Mortality
Distribution of causes of death among children aged < 5 years b
(%)
Injuries
Noncommunicable
Number of
Age-standardized
mortality rates by cause a deaths among
children
(per 100 000
aged < 5 years b
population)
(000s)
Communicable
Member State
2008
HIV
2000
2010
Diarrhoea
2000 2010
Pneumonia
Prematurity
2000
2010
2000
Measles
2010
2000
Malaria
2010
2000
2010
2000
2010
Djibouti
470
809
80
2
2
5
4
13
11
10
1
1
1
20
20
14
16
Dominica
78
632
33
0
0
0
0
0
0
0
0
0
0
4
3
47
10
Dominican Republic
147
573
68
8
6
5
2
6
4
0
0
0
0
15
11
22
25
Ecuador
105
400
81
10
6
1
1
9
4
0
0
1
0
14
10
19
16
Egypt
76
749
34
83
41
0
0
11
7
2
0
0
0
13
11
22
30
El Salvador
127
523
121
5
2
2
4
9
5
0
0
0
0
18
11
14
15
Equatorial Guinea
720
854
117
3
3
2
8
11
7
9
0
23
21
14
14
11
13
Eritrea
303
670
92
12
11
3
2
12
11
11
2
1
1
21
19
12
14
Estonia
21
585
84
0
0
0
2
4
0
0
0
0
0
10
3
6
5
Ethiopia
721
903
139
371
271
3
2
18
14
4
4
2
2
23
21
12
15
Fiji
166
752
35
0
0
0
0
6
4
4
0
0
0
10
10
21
20
Finland
11
377
58
0
0
0
0
0
0
0
0
0
0
1
4
15
17
France
23
336
38
4
3
0
0
1
1
0
0
0
0
1
2
13
12
Gabon
545
660
82
3
3
11
8
7
7
8
3
16
15
12
11
14
16
Gambia
525
735
72
7
6
1
3
12
9
5
0
22
20
15
15
12
14
Georgia
72
670
46
2
1
0
0
2
1
0
0
0
0
10
11
27
24
Germany
21
394
25
5
3
0
0
0
0
0
0
0
0
2
2
25
26
Ghana
608
711
91
62
57
4
3
8
7
12
1
19
18
12
13
13
16
Greece
25
388
29
1
1
0
0
0
0
0
0
0
0
2
7
37
34
Grenada
86
580
43
0
0
0
0
0
0
0
0
0
0
5
0
27
6
Guatemala
225
471
130
19
14
1
2
11
7
0
0
0
0
19
15
19
22
Guinea
759
932
121
59
48
2
1
11
10
13
0
22
27
15
16
10
12
Guinea-Bissau
928
916
110
9
8
2
3
13
12
10
0
21
18
17
18
10
11
Guyana
194
677
114
1
0
5
1
80
3
0
0
3
7
0
4
0
25
Haiti
545
697
52
29
45
5
1
16
7
0
0
1
0
23
10
13
7
Honduras
152
729
61
7
5
3
2
6
5
0
0
0
0
13
11
18
22
Hungary
16
648
51
1
1
0
0
0
0
0
0
0
0
6
4
35
28
Iceland
18
332
33
0
0
0
0
0
0
0
0
0
0
0
0
32
41
India
363
685
99
2294
1696
0
0
14
13
3
3
0
0
24
24
18
20
Indonesia
244
647
70
240
151
0
0
8
5
9
5
1
2
15
14
22
25
Iran (Islamic Republic of)
82
599
90
56
34
0
0
8
4
0
0
0
0
16
13
24
28
Iraq
168
691
280
37
43
0
0
8
6
1
0
0
0
17
18
20
20
Ireland
29
385
33
0
0
0
0
0
0
1
0
0
0
3
1
25
18
Israel
31
337
24
1
1
0
0
1
0
0
0
0
0
1
2
24
21
Italy
16
342
25
3
2
0
0
0
0
0
0
0
0
2
1
33
23
Jamaica
159
518
87
2
1
6
3
7
4
0
0
0
0
14
13
17
16
Japan
40
273
36
5
3
0
0
1
2
0
0
0
0
7
6
8
8
Jordan
84
727
62
4
4
0
0
8
4
0
0
0
0
11
8
33
34
Kazakhstan
95
985
155
9
13
0
0
7
6
0
0
0
0
14
13
26
22
Kenya
624
681
116
127
122
16
7
12
9
3
0
3
3
16
17
12
15
Kiribati
263
703
23
0
0
0
0
11
9
0
0
0
0
24
20
17
23
Kuwait
53
399
28
0
1
0
0
1
1
0
0
0
0
6
6
25
27
Kyrgyzstan
112
913
86
6
5
0
0
9
6
0
0
0
0
18
14
19
20
Lao People's Democratic Republic
376
771
107
14
8
0
1
13
10
13
0
2
1
19
19
14
21
Latvia
30
666
87
0
0
0
0
0
0
0
0
0
0
5
9
7
5
Lebanon
47
597
61
2
2
1
1
6
4
0
0
0
0
11
8
27
29
Lesotho
1255
774
141
8
5
38
18
7
7
0
1
0
0
10
12
13
18
Liberia
782
766
63
19
15
3
2
11
9
15
10
22
18
14
14
9
12
Libya
69
655
60
3
2
0
0
2
1
0
0
0
0
4
3
26
27
66
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Mortality
Member State
Table 2
Cardiovascular
dieases and
diabetes
Chronic
respiratory
conditions
Cancer
Age-standardized adult
mortality rate by cause a
(ages 30-70 per 100 000 population)
All causes
Distribution of causes of death among children aged < 5 years b
(%)
Birth asphyxia
Neonatal sepsis
Congenital
anomalies
Other diseases
2000
2010
2000
2000
2010
2000
2010
2000
2010
10
10
4
1
7
8
13
23
3
4
1289
126
406
43
Djibouti
11
48
0
14
22
7
14
18
3
0
596
161
221
30
Dominica
13
13
4
5
15
18
16
15
4
5
708
126
270
27
Dominican Republic
7
13
6
5
16
25
14
19
12
9
515
125
142
10
Ecuador
9
11
3
2
12
21
27
15
1
3
805
130
303
20
Egypt
5
6
5
5
17
24
18
20
13
11
796
138
168
21
El Salvador
8
9
6
5
3
5
12
16
2
2
1466
120
443
108
Equatorial Guinea
9
10
5
5
4
6
18
22
5
8
952
119
306
73
Eritrea
4
19
9
8
25
24
22
20
19
19
718
181
269
13
Estonia
9
10
6
6
3
4
16
18
4
6
1863
132
473
115
Ethiopia
8
8
4
3
21
24
13
18
13
12
957
150
476
58
Fiji
9
9
2
2
41
36
26
28
6
3
395
113
112
8
Finland
11
12
3
4
28
26
31
38
11
7
360
169
65
8
France
10
10
4
5
6
8
10
13
2
3
1251
117
325
80
Gabon
9
10
4
4
5
6
13
15
3
4
1618
183
500
118
Gambia
12
11
9
7
15
21
15
17
8
7
750
143
450
8
Georgia
5
6
1
2
33
31
24
26
9
6
362
150
102
11
Germany
10
11
6
6
4
7
11
14
2
4
1452
151
359
93
Ghana
6
2
1
0
38
39
9
9
6
8
325
137
109
11
Greece
0
6
5
12
33
44
22
32
8
0
826
211
314
26
Grenada
14
14
7
7
6
9
17
17
7
8
815
146
170
14
Guatemala
7
9
4
5
4
4
11
14
2
3
1906
177
542
137
Guinea
7
8
3
5
3
5
12
16
2
3
2007
166
522
128
Guinea-Bissau
0
16
0
9
0
9
12
23
0
2
1417
133
683
23
Guyana
9
4
5
2
7
3
17
8
5
56
1190
89
342
25
Haiti
9
8
6
7
11
18
31
24
1
3
844
166
261
22
Honduras
5
5
0
3
23
28
23
28
7
4
753
262
252
29
Hungary
0
0
0
0
35
22
34
37
0
0
269
121
65
7
Iceland
10
11
8
8
5
7
13
11
3
3
1002
108
328
133
India
11
11
7
5
6
9
17
19
5
6
876
165
308
64
Indonesia
11
11
4
4
12
18
18
16
6
6
600
111
271
23
Iran (Islamic Republic of)
15
15
6
5
11
14
16
18
6
6
1162
134
359
35
Iraq
5
5
1
2
43
42
19
25
3
7
339
150
84
12
Ireland
4
4
2
2
25
38
35
29
7
4
289
125
72
12
Israel
9
8
2
2
33
28
17
32
4
4
273
132
66
6
Italy
5
5
5
4
17
21
17
20
11
12
680
155
184
26
Jamaica
5
4
2
2
39
40
26
27
13
10
281
119
68
6
Japan
12
12
4
3
18
21
8
11
6
7
783
153
418
24
Jordan
11
10
4
3
12
14
21
24
5
7
1394
221
650
41
Kazakhstan
9
11
7
7
3
6
15
20
4
5
1495
178
276
69
Kenya
11
11
1
3
7
8
23
20
6
8
952
68
394
47
Kiribati
6
7
1
1
40
43
11
5
10
10
466
81
272
10
Kuwait
10
10
4
4
9
13
26
26
6
7
1307
197
607
63
Kyrgyzstan
9
11
6
6
4
5
15
17
5
8
1221
173
394
99
Lao People's Democratic Republic
15
17
2
4
34
35
25
22
13
7
840
202
359
12
Latvia
11
11
4
3
18
21
14
17
8
7
614
183
224
22
Lebanon
9
11
9
9
2
4
10
15
2
4
2748
109
443
108
Lesotho
7
9
4
6
3
5
11
13
2
3
1760
149
378
89
Liberia
10
9
5
3
15
19
9
10
29
29
718
140
320
27
Libya
2010
Injuries
2008
67
2. Cause-specific mortality and morbidity (contd.)
Member State
Mortality
MDG 5
Maternal mortality ratio c
(per 100 000 live births)
MDG 6
Cause-specific mortality rate
(per 100 000 population)
Malaria e
Tuberculosis among
HIV-negative people f
2011
2010
2000
HIV/AIDS d
1990
2000
2010
2001
Djibouti
290
290
200
134
97
4.4
56
76
Dominica
…
…
…
…
…
…
2.7
4.2
Dominican Republic
220
130
150
45
17
0.1
9.2
6.1
Ecuador
180
130
110
17
13
0.0
13
4.6
Egypt
230
100
66
0.6
0.9
…
1.7
0.6
El Salvador
150
110
81
11
5.1
0.0
2.9
1.1
1 200
450
240
87
107
79
20
10
880
390
240
40
26
5.4
7.7
4.7
2.7
Equatorial Guinea
Eritrea
2011
Estonia
48
28
2
5.9
30
…
8.8
Ethiopia
950
700
350
…
…
4.0
41
18
Fiji
32
31
26
0.2
0.3
…
3.7
1.8
Finland
7
5
5
0.2
0.3
…
1.2
0.3
France
13
10
8
3.0
2.0
…
1.1
0.5
Gabon
270
270
230
163
166
39
80
45
Gambia
700
520
360
20
35
83
37
49
Georgia
63
58
67
1.2
2.9
0.0
7.6
3.7
Germany
13
7
7
0.8
0.5
…
0.6
0.3
Ghana
580
550
350
93
61
52
23
7.5
Greece
6
5
3
1.5
1.7
…
0.9
0.8
Grenada
34
27
24
…
…
…
0.0
1.1
Guatemala
160
130
120
15
17
0.0
5.0
2.4
Guinea
1 200
970
610
60
39
144
44
23
Guinea-Bissau
1 100
970
790
42
60
108
31
24
Guyana
180
220
280
86
32
11
20
27
Haiti
620
460
350
132
58
5.7
41
30
Honduras
220
160
100
110
36
0.1
5.0
3.1
Hungary
23
10
21
2.2
0.9
…
3.6
0.8
Iceland
8
7
5
1.8
1.5
…
0.4
0.3
India
600
390
200
…
…
2.4
39
24
Indonesia
600
340
220
0.1
6.0
3.6
56
27
Iran (Islamic Republic of)
120
48
21
4.8
11
0.0
3.6
2.9
Iraq
89
78
63
…
…
0.0
4.9
3.2
Ireland
6
6
6
0.8
0.8
…
0.9
0.5
Israel
12
9
7
0.7
0.6
…
0.5
0.2
Italy
10
4
4
1.3
1.2
…
0.9
0.6
Jamaica
59
83
110
119
60
…
0.6
0.2
Japan
12
10
5
0.1
0.1
…
2.2
1.7
Jordan
110
79
63
…
…
…
1.2
0.8
Kazakhstan
92
70
51
3.2
7.5
…
38
14
Kenya
400
490
360
412
148
5.1
19
22
Kiribati
…
…
…
…
…
…
19
4.2
Kuwait
11
9
14
…
…
…
0.9
0.9
Kyrgyzstan
73
82
71
0.4
6.9
0.0
24
12
1 600
870
470
2.3
6.3
3.3
21
11
57
43
34
5.7
25
…
12
4.1
Lao People's Democratic Republic
Latvia
Lebanon
52
38
25
2.2
3.9
…
1.8
1.5
Lesotho
520
690
620
760
638
…
15
17
Liberia
1 200
1 300
770
85
56
86
53
45
Libya
99
67
58
…
…
…
5.3
5.9
68
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Morbidity
Member State
MDG 6
HIV/AIDS d
2001
Malaria e
Prevalence
(per 100 000 population)
Tuberculosis g
HIV/AIDS d
Tuberculosis g
2011
2010
2000
2011
2001
2011
2000
2011
168
77
1 471
619
620
1 612
1 011
721
840
Djibouti
…
…
…
14
13
…
…
29
25
Dominica
56
15
48
100
65
591
440
133
83
Dominican Republic
…
…
15
107
62
252
237
179
98
Ecuador
…
…
…
26
17
13
12
39
28
Egypt
…
…
0.5
37
27
194
385
55
31
El Salvador
…
…
31 871
268
202
1 464
2 764
465
267
Equatorial Guinea
56
22
1 684
157
97
610
423
190
151
Eritrea
…
…
…
62
25
343
736
78
29
Estonia
…
…
6 353
421
258
…
…
430
237
Ethiopia
…
…
…
54
26
5.2
27
107
33
Fiji
…
…
…
12
7.5
33
54
15
9.0
Finland
…
…
…
12
4.3
203
255
16
5.6
France
391
198
23 150
527
450
2 788
3 005
722
505
Gabon
…
…
28 574
225
279
427
784
357
455
Gambia
4.8
18
0.0
256
125
24
114
487
159
Georgia
…
…
…
12
4.5
54
89
15
5.7
Germany
144
52
26 763
152
79
1 257
907
219
92
Ghana
…
…
…
7.8
3.8
77
96
10
4.8
Greece
…
…
…
4.4
4.1
…
…
8.6
5.1
Grenada
…
…
82
68
61
239
438
125
111
Guatemala
112
57
38 479
234
183
852
830
383
242
Guinea
143
188
26 991
192
238
776
1 543
300
268
Guinea-Bissau
…
…
6 049
104
110
1 207
814
119
121
Guyana
134
63
1 896
271
222
1 468
1 145
391
307
Haiti
…
…
278
116
43
…
…
138
49
Honduras
…
…
…
37
18
33
41
47
23
Hungary
…
…
…
4.5
4.8
119
158
5.6
6.0
Iceland
…
…
1 973
216
181
…
…
438
249
India
…
…
2 274
204
187
5.3
155
457
281
Indonesia
…
…
2.9
26
21
85
129
39
31
Iran (Islamic Republic of)
…
…
0.0
50
45
…
…
62
74
Iraq
…
…
…
12
7.5
124
173
15
9.4
Ireland
…
…
…
10
5.8
90
113
13
7.1
Israel
…
…
…
8.6
2.8
226
249
11
3.5
Italy
113
73
…
6.5
6.6
1 391
1 095
7.4
8.8
Jamaica
…
…
…
35
20
4.9
6.3
45
26
Japan
…
…
…
8.1
6.0
…
…
10
7.7
Jordan
11
17
…
351
129
61
117
641
168
Kazakhstan
427
250
8 526
286
288
5 031
3 880
261
291
Kenya
…
…
…
372
356
…
…
497
462
Kiribati
…
…
…
33
36
…
…
42
46
Kuwait
4.1
56
0.1
249
128
13
225
441
175
Kyrgyzstan
…
…
1 113
330
213
59
164
961
540
Lao People's Democratic Republic
40
28
…
121
42
205
405
179
50
Latvia
…
…
…
17
15
38
67
22
19
Lebanon
1 308
1 166
…
553
632
12 754
14 619
357
411
Lesotho
…
…
27 933
242
299
1 325
608
449
453
Liberia
…
…
…
40
40
…
…
58
60
Libya
69
Table 2
Incidence rate
(per 100 000 population)
2. Cause-specific mortality and morbidity
Mortality
Distribution of causes of death among children aged < 5 years b
(%)
Injuries
Noncommunicable
Number of
Age-standardized
mortality rates by cause a deaths among
children
(per 100 000
aged < 5 years b
population)
(000s)
Communicable
Member State
2008
HIV
2000
2010
Diarrhoea
2000 2010
Pneumonia
Prematurity
2000
2010
2000
Measles
2010
2000
Malaria
2010
2000
2010
2000
2010
Lithuania
34
637
120
0
0
0
0
0
1
0
0
0
0
9
9
12
9
Luxembourg
25
362
37
0
0
0
0
0
0
0
0
0
0
0
0
14
19
Madagascar
408
706
55
62
44
0
0
13
10
8
1
7
6
20
18
13
16
Malawi
1156
999
189
77
56
16
13
11
7
0
2
18
13
15
14
9
13
Malaysia
185
526
51
6
3
0
0
4
2
0
0
0
0
9
6
23
24
Maldives
59
598
53
0
0
0
0
8
3
0
0
0
0
20
11
15
17
Mali
827
733
72
110
120
1
0
15
14
4
3
23
16
19
20
10
11
Malta
26
391
23
0
0
0
0
0
0
0
0
0
0
3
0
39
17
Marshall Islands
343
1289
66
0
0
0
0
9
6
1
0
0
0
20
19
19
20
Mauritania
575
746
88
11
13
0
0
15
11
1
7
7
6
22
17
14
14
Mauritius
52
664
42
0
0
0
1
2
0
0
0
0
0
2
9
43
27
Mexico
68
493
57
63
37
0
0
8
4
0
0
0
0
15
12
16
17
Micronesia (Federated States of)
203
704
35
0
0
0
0
8
6
1
1
0
0
21
20
18
19
Monaco
22
320
42
0
0
0
0
0
0
0
0
0
0
4
4
25
25
Mongolia
89
713
78
3
2
0
0
12
7
1
1
0
0
20
15
16
18
Montenegro
17
640
33
0
0
0
0
0
0
0
0
0
0
4
0
28
45
Morocco
104
597
37
35
23
0
0
10
6
0
0
0
0
18
15
24
28
Mozambique
957
908
153
133
114
7
10
11
9
4
1
23
19
16
15
9
11
Myanmar
461
667
347
83
56
1
1
12
8
2
1
1
1
18
17
20
24
Namibia
670
791
160
4
2
32
14
6
5
1
4
3
0
11
12
14
19
Nauru
240
1092
149
0
0
0
0
8
7
0
0
0
0
20
17
20
24
Nepal
338
620
58
67
35
0
0
11
6
2
0
0
0
19
16
26
32
Netherlands
28
377
22
1
1
0
0
0
0
0
0
0
0
2
3
19
17
New Zealand
15
369
37
0
0
0
0
0
0
0
0
0
0
6
8
20
20
Nicaragua
87
499
57
6
4
0
0
13
9
0
0
0
0
14
14
19
19
Niger
730
647
44
114
100
1
1
16
14
5
0
22
15
19
22
10
12
Nigeria
832
809
76
916
861
4
4
11
11
17
1
19
20
13
17
9
12
Niue
142
558
43
0
0
0
…
1
…
0
…
0
…
8
…
13
…
Norway
27
363
36
0
0
0
0
0
0
0
0
0
0
3
1
12
15
Oman
22
648
39
1
1
0
0
2
1
0
0
0
0
9
5
29
29
Pakistan
387
711
92
466
423
0
0
14
11
1
1
0
0
22
19
17
20
Palau
144
587
33
0
0
0
0
1
2
1
3
0
0
7
6
18
20
Panama
92
394
59
2
1
1
0
6
11
0
0
0
0
11
9
14
14
Papua New Guinea
373
748
87
14
12
1
2
9
8
9
0
11
10
17
17
16
18
Paraguay
93
470
60
5
4
1
0
8
5
0
0
0
0
14
11
24
25
Peru
173
387
52
25
11
1
1
5
4
0
0
0
0
11
10
18
20
Philippines
231
599
55
91
66
0
0
10
6
0
0
0
0
17
16
20
23
Poland
28
546
54
4
3
0
0
0
0
0
0
0
0
5
5
24
33
Portugal
46
394
28
1
0
0
0
0
0
0
0
0
0
4
1
22
17
Qatar
31
392
36
0
0
0
0
1
0
0
1
0
0
4
2
39
39
Republic of Korea
29
355
52
3
3
0
0
1
0
1
0
0
0
5
2
21
24
Republic of Moldova
59
831
90
1
1
0
0
3
0
0
0
0
0
29
21
4
7
Romania
38
643
52
7
3
0
0
3
0
0
0
0
0
35
29
8
14
Russian Federation
71
797
159
33
20
1
9
3
1
0
0
0
0
16
8
19
21
Rwanda
595
740
92
62
26
4
2
20
12
1
0
3
2
23
20
9
15
Saint Kitts and Nevis
61
640
73
0
0
0
0
5
0
0
0
0
0
5
0
43
21
Saint Lucia
81
517
53
0
0
0
0
0
3
0
0
0
0
0
0
36
44
Saint Vincent and the Grenadines
115
596
58
0
0
6
0
0
0
0
0
0
0
4
2
20
31
Samoa
194
683
35
0
0
0
0
5
3
0
0
0
0
11
8
18
17
70
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Mortality
Congenital
anomalies
Other diseases
2000
2010
2000
2010
2000
2010
2000
2010
2000
2010
Injuries
Table 2
Neonatal sepsis
Member State
Cardiovascular
dieases and
diabetes
Chronic
respiratory
conditions
Birth asphyxia
Cancer
Age-standardized adult
mortality rate by cause a
(ages 30-70 per 100 000 population)
All causes
Distribution of causes of death among children aged < 5 years b
(%)
2008
8
7
2
8
37
30
15
19
16
16
908
204
312
14
Lithuania
21
10
0
5
7
5
42
33
15
28
362
138
98
16
Luxembourg
9
11
6
6
3
5
17
18
4
7
1058
154
289
69
Madagascar
7
9
4
5
2
4
14
16
2
4
3147
163
634
125
Malawi
8
8
6
5
27
31
17
20
5
4
663
141
217
36
Malaysia
15
15
4
4
16
30
18
14
3
6
499
59
229
74
Maldives
6
7
3
3
4
5
13
17
2
3
1262
171
292
71
Mali
3
0
5
0
16
48
35
35
0
0
300
123
100
11
Malta
12
13
1
1
9
10
22
21
7
9
2681
166
1427
195
Marshall Islands
10
10
5
6
5
6
17
18
4
4
1265
147
362
85
Mauritania
10
9
4
2
20
26
12
20
6
7
774
110
440
29
Mauritius
7
6
5
6
19
23
20
22
9
9
570
94
217
20
Mexico
11
11
1
1
11
11
23
23
7
7
800
110
389
51
Micronesia (Federated States of)
8
7
2
2
32
32
22
23
6
7
316
132
68
8
Monaco
7
8
3
3
8
13
26
25
6
9
995
284
401
22
Mongolia
26
39
1
2
14
2
24
12
3
0
575
170
296
21
Montenegro
12
13
6
3
9
12
16
16
5
6
535
127
214
23
Morocco
7
9
4
4
3
3
12
14
2
3
2167
143
498
125
Mozambique
10
10
8
7
4
5
19
20
5
5
1320
162
321
65
Myanmar
10
11
5
5
5
9
11
16
3
6
1889
73
524
84
Namibia
14
14
1
1
16
16
14
15
7
7
1633
231
867
100
Nauru
10
12
7
8
3
5
16
15
5
5
897
178
279
57
Nepal
11
10
3
5
33
33
27
28
5
4
323
165
77
12
Netherlands
6
6
2
3
28
24
26
21
12
17
312
137
91
14
New Zealand
7
7
7
6
11
18
28
23
2
4
680
124
230
21
Nicaragua
5
7
3
3
3
3
14
19
3
4
1057
129
246
57
Niger
7
8
5
6
3
4
9
14
2
3
1632
148
377
90
Nigeria
19
…
6
…
18
…
14
…
21
…
629
93
297
41
Niue
10
13
1
3
37
33
29
31
6
3
315
138
74
15
Norway
10
9
4
3
22
28
12
17
12
8
766
118
504
19
Oman
12
13
9
9
4
5
15
18
4
5
998
152
361
86
Pakistan
8
10
5
5
17
16
16
18
27
20
825
131
387
50
Palau
6
5
4
7
26
24
27
23
4
6
457
109
138
15
Panama
12
12
5
6
4
5
13
16
4
6
1090
168
390
80
Papua New Guinea
8
9
7
8
13
19
21
18
4
5
569
135
215
12
Paraguay
6
6
7
6
11
20
35
23
5
10
478
130
86
15
Peru
13
13
7
6
9
10
17
17
7
8
911
134
362
51
Philippines
9
6
6
3
36
34
15
13
6
5
632
219
219
14
Poland
15
6
4
4
20
21
24
42
11
8
381
161
87
11
Portugal
11
11
2
2
24
25
12
15
6
5
292
93
109
8
Qatar
6
6
6
5
23
19
19
30
18
13
348
133
85
8
Republic of Korea
8
8
4
3
22
29
14
18
16
13
1064
204
401
29
Republic of Moldova
4
4
0
0
19
25
21
20
10
7
700
202
280
17
Romania
7
7
4
4
22
25
19
18
10
7
1172
180
517
21
Russian Federation
6
10
6
6
4
5
20
23
4
6
1174
158
290
68
Rwanda
17
31
9
10
18
10
5
22
0
6
552
154
217
6
Saint Kitts and Nevis
12
38
7
0
25
12
16
3
5
0
628
141
267
23
Saint Lucia
7
4
3
13
12
2
41
28
6
21
705
141
245
21
Saint Vincent and the Grenadines
7
9
4
4
22
24
15
25
18
10
771
77
381
51
Samoa
71
2. Cause-specific mortality and morbidity (contd.)
Member State
Mortality
MDG 5
Maternal mortality ratio c
(per 100 000 live births)
MDG 6
Cause-specific mortality rate
(per 100 000 population)
HIV/AIDS d
1990
2000
Lithuania
34
Luxembourg
6
Madagascar
Malaria e
Tuberculosis among
HIV-negative people f
2000
2011
2010
2001
2011
2010
21
8
0.9
2.4
…
10
8.3
11
20
2.3
1.6
…
0.6
0.0
640
400
240
9.7
12
16
68
46
Malawi
1 100
840
460
549
285
51
29
12
Malaysia
53
39
29
20
21
0.1
6.9
5.7
Maldives
830
190
60
1.1
0.9
…
6.6
2.5
Mali
1 100
740
540
84
41
138
12
9.0
Malta
14
12
8
1.0
0.7
…
0.3
0.3
Marshall Islands
…
…
…
…
…
…
62
74
Mauritania
760
630
510
29
41
22
52
83
Mauritius
68
28
60
24
50
…
0.9
1.0
Mexico
92
82
50
…
…
0.0
3.7
1.7
Micronesia (Federated States of)
140
130
100
…
…
…
65
23
Monaco
…
…
…
…
…
…
0.1
0.2
Mongolia
120
96
63
0.0
0.9
…
9.0
5.0
Montenegro
8
11
8
…
…
…
…
0.2
Morocco
300
170
100
1.9
5.0
…
14
8.7
Mozambique
910
710
490
245
310
125
60
47
Myanmar
520
300
200
22
32
6.8
104
48
Namibia
200
280
200
445
223
0.6
24
14
Nauru
…
…
…
…
…
…
3.3
3.4
Nepal
770
360
170
5.4
15
0.0
23
23
Netherlands
10
13
6
1.0
0.8
…
0.2
0.2
New Zealand
18
12
15
0.5
0.5
…
0.3
0.1
Nicaragua
170
130
95
2.5
4.1
0.0
6.8
3.2
Niger
1 200
870
590
28
25
100
45
17
Nigeria
1 100
970
630
122
132
131
34
17
Niue
…
…
…
…
…
…
5.1
4.2
Norway
9
8
7
0.6
0.4
…
0.3
0.2
Oman
110
51
32
…
…
0.0
1.7
0.9
Pakistan
490
380
260
0.3
2.7
0.9
68
33
Palau
…
…
…
…
…
…
26
26
Panama
100
110
92
69
33
0.0
7.1
6.1
Papua New Guinea
390
310
230
29
16
44
52
53
Paraguay
120
110
99
…
…
0.0
4.6
2.6
Peru
200
120
67
26
10
0.1
14
7.4
Philippines
170
120
99
0.1
0.5
0.2
41
29
Poland
17
8
5
0.3
0.4
…
2.8
2.1
Portugal
15
8
8
2.0
2.3
…
3.0
1.2
Qatar
15
11
7
…
…
…
0.4
0.1
Republic of Korea
18
19
16
0.2
0.8
0.0
3.9
4.9
Republic of Moldova
62
39
41
17
29
…
15
17
Romania
170
52
27
0.7
2.3
…
11
6.0
16
Russian Federation
74
57
34
…
…
0.0
21
Rwanda
910
840
340
253
58
4.2
48
11
Saint Kitts and Nevis
…
…
…
…
…
…
2.7
2.7
Saint Lucia
64
46
35
…
…
…
1.2
1.9
Saint Vincent and the Grenadines
59
88
48
…
…
…
1.9
1.6
Samoa
260
150
100
…
…
…
3.3
1.1
72
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Morbidity
Member State
MDG 6
HIV/AIDS d
Malaria e
2010
Prevalence
(per 100 000 population)
Tuberculosis g
2000
HIV/AIDS d
2001
2011
2011
4.0
3.1
…
90
59
…
…
…
10
0.5
2001
Tuberculosis g
2011
2000
2011
25
44
114
75
Lithuania
134
171
13
0.7
Luxembourg
Madagascar
…
…
3 660
293
238
140
159
587
428
890
301
26 872
467
191
7 441
5 904
357
164
Malawi
33
22
57
95
81
243
281
138
101
Malaysia
…
…
…
74
34
12
8.4
110
44
Maldives
105
54
23 935
77
62
911
670
114
90
Mali
…
…
…
4.7
9.1
52
63
5.7
10
Malta
…
…
…
263
536
…
…
539
924
Marshall Islands
…
…
17 720
277
344
368
681
481
686
Mauritania
…
…
…
24
21
542
568
43
38
Mauritius
…
…
1.3
31
23
141
156
48
28
Mexico
…
…
…
279
200
…
…
561
294
Micronesia (Federated States of)
…
…
…
1.6
3.2
…
…
2.1
4.1
Monaco
…
…
…
254
223
1.0
30
433
348
Mongolia
…
…
…
…
17
…
…
…
19
Montenegro
…
…
…
117
103
40
98
149
131
Morocco
752
535
31 941
513
548
4 552
5 827
564
490
Mozambique
61
18
3 180
412
381
497
455
831
506
Myanmar
1 185
379
131
1 407
723
8 500
8 282
1 380
729
Namibia
…
…
…
32
33
…
…
41
42
Nauru
41
4.4
64
163
163
171
161
242
243
Nepal
…
…
…
9.9
6.8
117
150
12
8.5
Netherlands
…
…
…
11
7.6
40
59
14
9.7
New Zealand
…
…
22
68
40
43
130
100
50
Nicaragua
55
40
25 485
191
108
394
403
379
166
Niger
244
208
31 913
172
118
1 996
2 095
306
171
Nigeria
…
…
…
49
40
…
…
63
52
Niue
…
…
…
6.2
6.1
71
91
7.8
7.7
Norway
…
…
…
14
14
…
…
18
17
Oman
…
…
1 026
231
231
8.1
72
547
350
Pakistan
…
…
…
156
153
…
…
257
256
Palau
52
22
14
47
48
844
494
48
56
Panama
52
24
17 943
349
346
432
396
530
534
Papua New Guinea
…
…
0.5
49
45
80
192
69
59
Paraguay
Peru
…
…
267
184
101
300
250
247
117
0.7
5.7
63
329
270
3.1
20
775
484
Philippines
…
…
…
34
23
62
92
43
29
Poland
…
…
…
50
24
328
446
60
29
Portugal
…
…
…
52
37
…
…
67
47
Qatar
…
…
9.0
79
100
16
31
184
149
Republic of Korea
27
53
…
147
161
278
410
252
234
Republic of Moldova
…
…
…
181
101
71
74
275
145
Romania
Russian Federation
…
…
…
127
97
…
…
192
124
223
93
5 543
326
94
2 650
1 909
430
117
Rwanda
…
…
…
8.1
5.5
…
…
10
7.1
Saint Kitts and Nevis
…
…
…
12
5.1
…
…
15
6.0
Saint Lucia
…
…
…
26
24
…
…
51
30
Saint Vincent and the Grenadines
…
…
…
23
9.6
…
…
35
13
Samoa
73
Table 2
Incidence rate
(per 100 000 population)
2. Cause-specific mortality and morbidity
Mortality
Distribution of causes of death among children aged < 5 years b
(%)
Injuries
Noncommunicable
Number of
Age-standardized
mortality rates by cause a deaths among
children
(per 100 000
aged < 5 years b
population)
(000s)
Communicable
Member State
2008
HIV
2000
2010
Diarrhoea
2000 2010
Measles
Malaria
2000
2010
2000
2010
2000
2010
Pneumonia
Prematurity
2000
2010
2000
2010
San Marino
19
312
14
0
0
0
…
0
…
0
…
0
…
0
…
0
…
Sao Tome and Principe
279
605
45
0
0
0
0
11
11
0
1
17
4
19
18
13
15
Saudi Arabia
86
644
68
15
12
0
0
4
2
0
0
0
0
11
7
24
30
Senegal
509
665
58
43
34
1
1
10
9
11
2
21
14
16
16
12
15
Serbia
17
712
36
2
1
0
0
1
0
0
0
0
0
5
4
29
41
Seychelles
149
591
48
0
0
0
0
1
1
0
0
0
0
7
7
31
27
Sierra Leone
1042
763
92
40
39
0
1
13
12
13
0
23
23
17
17
8
10
Singapore
66
313
21
0
0
0
0
1
1
0
0
0
0
9
7
21
24
Slovakia
35
595
47
1
0
0
0
1
1
0
0
0
0
12
8
29
28
Slovenia
21
405
50
0
0
0
0
0
3
0
0
0
0
0
3
21
31
Solomon Islands
196
623
27
0
0
0
0
3
5
0
0
29
10
10
16
17
19
Somalia
736
967
199
58
70
0
1
14
16
22
0
5
7
19
25
11
12
South Africa
983
635
72
84
58
37
28
7
5
0
1
0
0
10
11
14
16
South Sudan
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Spain
24
351
23
2
2
0
0
0
1
0
0
0
0
2
3
17
17
Sri Lanka
79
623
233
7
6
0
0
5
3
4
0
1
0
8
7
17
11
Sudan
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Sudan (former)
377
897
148
140
143
0
2
14
12
4
1
5
3
22
19
13
16
Suriname
126
572
74
0
0
2
2
10
3
0
0
6
0
8
9
16
21
Swaziland
1200
867
208
4
3
34
23
9
7
0
0
0
0
13
14
11
15
Sweden
20
358
32
0
0
0
0
0
0
0
0
0
0
2
3
15
12
Switzerland
17
323
30
0
0
0
0
0
0
0
0
0
0
2
1
20
23
Syrian Arab Republic
56
619
45
10
8
0
0
11
7
0
0
0
0
11
8
27
30
Tajikistan
229
730
29
18
12
0
0
14
9
0
0
0
0
22
17
14
17
Thailand
153
675
106
16
11
3
1
6
3
0
0
0
0
11
9
23
24
The former Yugoslav Republic of Macedonia
24
688
24
0
0
0
0
8
3
0
0
0
0
6
5
50
38
Timor-Leste
444
560
51
4
2
0
0
14
8
0
0
4
4
23
20
16
19
Togo
635
716
63
21
19
4
3
10
10
9
0
22
18
15
16
10
13
Tonga
173
670
29
0
0
0
0
4
3
0
0
0
0
11
9
19
22
Trinidad and Tobago
104
673
71
1
1
3
3
1
0
0
0
0
0
3
7
35
16
Tunisia
134
465
36
5
3
0
0
7
3
0
0
0
0
12
7
25
29
Turkey
53
590
31
56
18
0
0
3
1
0
0
0
0
18
11
21
24
Turkmenistan
166
1016
74
7
6
0
0
10
8
0
0
0
0
18
16
18
21
Tuvalu
266
1015
55
0
0
0
0
2
1
0
0
0
0
12
9
15
17
Uganda
810
888
179
157
141
9
7
12
10
5
0
15
13
17
17
11
13
Ukraine
94
823
112
7
7
5
1
3
2
0
0
0
0
16
12
17
16
United Arab Emirates
73
406
38
1
1
0
0
1
0
0
0
0
0
4
2
40
40
United Kingdom
36
401
25
5
4
0
0
1
0
0
0
0
0
4
4
33
35
United Republic of Tanzania
782
745
120
174
133
10
6
11
9
3
1
15
11
15
15
11
15
United States of America
34
418
53
32
32
0
0
0
0
0
0
0
0
3
2
27
20
Uruguay
55
524
49
1
1
0
0
3
2
0
0
0
0
8
11
20
16
Uzbekistan
104
838
44
35
31
0
0
10
7
0
0
0
0
18
15
18
20
Vanuatu
175
687
30
0
0
0
0
4
3
0
0
13
19
11
9
19
15
Venezuela (Bolivarian Republic of)
71
433
101
14
11
0
0
11
7
0
0
0
0
8
10
23
23
Viet Nam
122
607
66
42
34
1
1
14
10
7
5
0
0
15
12
20
18
Yemen
232
807
91
68
69
0
0
13
11
5
0
1
1
23
22
16
18
Zambia
961
938
176
68
60
16
11
11
9
6
4
16
13
13
14
10
13
Zimbabwe
1552
622
73
43
29
45
20
6
8
0
1
3
8
8
11
11
14
74
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Mortality
Member State
Table 2
Cardiovascular
dieases and
diabetes
Chronic
respiratory
conditions
Cancer
Age-standardized adult
mortality rate by cause a
(ages 30-70 per 100 000 population)
All causes
Distribution of causes of death among children aged < 5 years b
(%)
Birth asphyxia
Neonatal sepsis
Congenital
anomalies
Other diseases
2000
2010
2000
2010
2000
2010
2000
2010
2000
2010
0
…
0
…
0
…
100
…
0
…
220
108
86
2
9
10
3
4
6
8
18
24
4
6
654
169
183
40
Sao Tome and Principe
12
8
5
2
21
23
13
15
10
13
664
81
401
15
Saudi Arabia
Injuries
2008
San Marino
9
11
3
5
4
8
11
14
2
4
1133
152
307
73
Senegal
17
14
5
1
26
22
13
14
5
4
657
236
274
19
Serbia
9
8
5
4
26
25
19
25
3
4
867
199
265
32
Seychelles
6
7
3
5
4
5
11
16
2
3
1675
133
383
92
Sierra Leone
4
7
1
1
34
33
25
23
6
4
326
126
115
8
Singapore
5
5
1
1
27
32
19
18
6
7
622
200
224
13
Slovakia
8
9
4
3
41
25
18
18
8
8
412
176
96
6
Slovenia
13
13
5
3
9
10
11
16
3
8
685
124
308
42
Solomon Islands
8
9
4
5
4
5
11
17
2
3
1725
150
544
71
Somalia
8
8
3
3
5
8
13
15
3
4
2259
193
307
68
South Africa
…
…
…
…
…
…
…
…
…
…
…
…
…
…
South Sudan
7
9
5
5
34
27
29
34
6
5
305
140
68
14
Spain
17
27
5
3
22
30
11
14
9
6
804
130
214
47
Sri Lanka
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Sudan
10
11
3
8
4
5
21
18
4
5
1282
100
503
65
Sudan (former)
6
10
9
7
11
15
22
25
10
8
746
102
332
14
Suriname
7
9
4
5
3
4
15
19
3
5
3109
117
551
136
Swaziland
10
10
6
4
43
30
22
39
3
2
293
121
79
9
Sweden
7
10
2
3
34
28
27
30
9
5
273
127
59
7
Switzerland
12
11
4
3
20
24
11
12
3
5
611
75
327
27
Syrian Arab Republic
9
10
5
4
5
7
26
28
5
6
904
126
427
31
Tajikistan
9
8
7
7
24
27
15
16
4
4
827
136
244
37
Thailand
9
9
4
2
22
22
0
18
0
3
561
177
284
16
The former Yugoslav Republic of Macedonia
9
13
6
7
3
5
19
17
5
6
960
141
260
53
Timor-Leste
8
9
3
4
4
6
11
17
2
4
1562
143
370
89
Togo
14
11
5
4
27
29
14
15
6
7
911
105
446
56
Tonga
25
12
3
3
12
24
15
30
3
6
781
128
378
18
Trinidad and Tobago
11
11
4
3
19
23
17
16
6
7
469
127
131
13
Tunisia
8
7
7
7
13
23
25
23
5
4
550
163
268
30
Turkey
10
10
4
4
8
10
26
26
5
5
1422
172
808
42
Turkmenistan
9
10
6
6
13
16
15
18
28
23
1321
188
626
79
Tuvalu
6
8
4
5
3
4
14
17
3
5
1959
191
421
111
Uganda
7
8
4
4
24
28
15
19
9
9
1188
170
500
24
Ukraine
10
9
3
1
25
27
13
16
5
4
434
78
211
12
United Arab Emirates
6
7
3
1
24
27
24
23
5
4
359
144
91
20
United Kingdom
9
11
6
7
3
5
14
17
3
5
1733
113
341
86
United Republic of Tanzania
5
3
3
3
25
22
27
26
10
22
460
143
137
24
United States of America
7
4
6
9
26
28
22
23
7
7
549
198
167
27
Uruguay
10
10
4
4
8
11
27
27
5
6
971
113
568
28
Uzbekistan
8
12
7
5
16
21
7
9
15
5
860
152
391
53
Vanuatu
8
9
9
8
15
19
18
13
7
9
532
112
200
14
Venezuela (Bolivarian Republic of)
8
10
6
7
14
22
13
13
3
3
685
168
232
38
Viet Nam
11
13
6
6
3
4
16
18
5
6
999
112
420
46
Yemen
7
9
5
6
2
4
12
15
2
4
2395
166
527
135
Zambia
8
10
6
6
3
5
8
14
1
4
3046
157
206
51
Zimbabwe
75
2. Cause-specific mortality and morbidity (contd.)
Member State
Mortality
MDG 5
Maternal mortality ratio c
(per 100 000 live births)
MDG 6
Cause-specific mortality rate
(per 100 000 population)
HIV/AIDS d
1990
Malaria e
Tuberculosis among
HIV-negative people f
2000
2010
2001
2011
2010
2000
2011
…
San Marino
…
…
…
…
…
…
…
Sao Tome and Principe
150
110
70
27
33
29
13
16
Saudi Arabia
44
27
24
…
…
0.0
4.0
4.0
Senegal
670
500
370
14
12
44
26
19
Serbia
23
12
12
3.0
1.3
…
…
1.6
Seychelles
…
…
…
…
…
…
1.6
1.9
Sierra Leone
1 300
1 300
890
20
44
177
92
159
Singapore
6
15
3
2.7
2.0
…
3.2
1.8
Slovakia
15
13
6
0.0
0.1
…
1.0
0.8
Slovenia
11
12
12
0.2
0.2
…
1.1
1.1
Solomon Islands
150
120
93
…
…
24
42
16
Somalia
890
1 000
1 000
37
32
26
64
59
South Africa
250
330
300
462
535
0.2
43
49
South Sudan
…
…
…
…
108
…
…
29
Spain
7
5
6
5.1
1.7
…
1.1
0.6
5.4
Sri Lanka
85
58
35
0.6
1.2
0.0
9.9
Sudan
…
…
…
21
16
…
27
22
1 000
870
730
…
…
21
…
…
Suriname
84
130
130
165
56
0.2
1.8
2.7
Swaziland
300
360
320
625
566
0.1
32
53
Sweden
6
5
4
0.7
0.5
…
0.3
0.2
Sudan (former)
Switzerland
7
6
8
2.0
1.3
…
0.4
0.2
Syrian Arab Republic
240
120
70
…
…
0.0
3.1
1.8
Tajikistan
94
120
65
3.9
9.0
0.0
18
16
Thailand
54
66
48
97
33
0.3
31
14
The former Yugoslav Republic of Macedonia
16
15
10
…
…
…
5.1
1.2
Timor-Leste
1 000
610
300
…
…
22
…
63
Togo
620
440
300
165
145
63
13
9.0
Tonga
67
87
110
…
…
…
3.3
2.9
Trinidad and Tobago
86
59
46
54
43
…
2.2
2.2
Tunisia
130
84
56
0.4
0.7
…
2.5
3.1
Turkey
67
39
20
0.1
0.1
0.0
2.7
0.7
Turkmenistan
82
91
67
…
…
0.0
28
9.9
Tuvalu
…
…
…
…
…
…
67
37
Uganda
600
530
310
403
181
52
43
14
Ukraine
49
35
32
19
49
…
21
18
United Arab Emirates
24
14
12
…
…
…
0.7
0.3
0.6
United Kingdom
10
12
12
0.5
0.8
…
0.7
United Republic of Tanzania
870
730
460
367
181
34
19
14
United States of America
12
14
21
7.1
6.5
…
0.3
0.1
Uruguay
39
35
29
…
…
…
2.2
1.6
Uzbekistan
59
33
28
…
…
0.0
17
6.1
Vanuatu
220
120
110
…
…
14
15
8.8
2.3
Venezuela (Bolivarian Republic of)
94
91
92
…
…
0.1
3.1
Viet Nam
240
100
59
2.7
13
0.1
36
33
Yemen
610
380
200
2.2
6.4
7.2
19
5.0
Zambia
470
540
440
692
232
67
34
24
Zimbabwe
450
640
570
1214
457
62
9.7
47
76
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Morbidity
Member State
MDG 6
HIV/AIDS d
Malaria e
2001
2011
2010
Prevalence
(per 100 000 population)
Tuberculosis g
HIV/AIDS d
2000
2011
2001
Tuberculosis g
2011
2000
2011
…
…
…
1.6
1.4
…
…
2.0
1.8
112
36
13 006
114
94
531
586
148
151
Sao Tome and Principe
…
…
0.1
19
17
…
…
25
22
Saudi Arabia
San Marino
44
45
24 287
155
136
246
415
253
200
Senegal
…
…
…
…
16
30
36
…
25
Serbia
…
…
…
37
30
…
…
56
39
Seychelles
105
66
30 058
377
723
495
810
773
1 372
Sierra Leone
…
…
…
52
37
67
66
65
46
Singapore
…
…
…
23
7.2
2.8
8.0
29
9.2
Slovakia
…
…
…
22
9.3
11
31
29
12
Slovenia
…
…
12 081
185
103
…
…
364
162
Solomon Islands
…
…
8 931
285
286
452
367
549
523
Somalia
1 334
750
35
576
993
9 655
11 087
534
768
South Africa
…
154
…
…
146
…
1 434
…
267
South Sudan
…
…
…
22
15
301
320
27
19
Spain
1.8
2.7
11
66
66
10
20
107
101
Sri Lanka
…
…
…
144
117
243
202
248
201
Sudan
…
…
14 998
…
…
…
…
…
…
Sudan (former)
79
9.8
152
86
44
1 672
651
70
51
Suriname
1 792
1 117
33
803
1 317
11 601
15 816
534
854
Swaziland
…
…
…
5.3
6.8
78
96
6.8
8.6
Sweden
…
…
…
10
4.8
192
266
13
6.0
Switzerland
…
…
…
35
19
…
…
42
23
Syrian Arab Republic
16
21
1.9
220
193
87
151
476
350
Tajikistan
31
14
204
171
124
986
710
276
161
Thailand
…
…
…
41
20
…
…
60
27
The former Yugoslav Republic of Macedonia
…
…
10 376
…
498
…
…
…
701
Timor-Leste
340
155
23 763
76
73
2 513
2 379
119
96
Togo
…
…
…
28
16
…
…
39
27
Tonga
…
…
…
17
21
846
991
18
22
Trinidad and Tobago
…
…
…
25
30
6.3
16
31
38
Tunisia
…
…
0.0
36
24
2.8
7.4
45
24
Turkey
…
…
…
213
74
…
…
411
96
Turkmenistan
…
…
…
357
228
…
…
633
381
Tuvalu
395
421
28 921
427
193
3 951
4 030
431
183
Uganda
…
…
…
106
89
515
519
154
104
Ukraine
…
…
…
12
3.7
…
…
18
6.4
United Arab Emirates
…
…
…
12
14
78
150
15
19
United Kingdom
389
316
22 681
236
169
4 134
3 383
239
177
United Republic of Tanzania
17
16
…
6.7
3.9
355
419
8.2
4.7
United States of America
…
…
…
24
21
329
357
30
23
Uruguay
…
…
0.0
286
101
…
…
618
177
Uzbekistan
…
…
10 676
110
67
…
…
162
97
Vanuatu
…
…
203
34
33
…
…
46
48
Venezuela (Bolivarian Republic of)
36
23
29
205
199
138
283
344
323
Viet Nam
13
11
2 454
116
44
57
87
186
59
Yemen
1 017
379
25 242
713
444
8 253
7 204
528
352
Zambia
1 108
582
13 688
726
603
14 395
9 688
328
547
Zimbabwe
77
Table 2
Incidence rate
(per 100 000 population)
2. Cause-specific mortality and morbidity
Mortality
Distribution of causes of death among children aged < 5 years b
(%)
Injuries
Noncommunicable
Number of
Age-standardized
mortality rates by cause a deaths among
children
(per 100 000
aged < 5 years b
population)
(000s)
Communicable
Member State
2008
HIV
2000
2010
Diarrhoea
2000 2010
Measles
Malaria
2000
2010
2000
2010
2000
2010
Pneumonia
Prematurity
2000
2000
2010
2010
Ranges of country values
Minimum
11
273
14
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Median
105
637
58
4
3
0
0
6
4
0
0
0
0
12
11
18
19
Maximum
1552
1289
347
2294
1696
48
28
80
16
22
11
29
27
35
29
50
45
African Region
798
779
107
3836
3508
6
4
13
11
8
1
16
15
16
17
11
12
Region of the Americas
72
455
63
430
284
1
1
8
4
0
0
0
0
13
9
20
19
South-East Asia Region
334
676
101
3042
2127
0
0
13
11
4
3
0
1
22
22
19
21
European Region
51
532
63
230
155
0
1
5
4
0
0
0
0
16
12
20
21
Eastern Mediterranean Region
254
706
91
1149
1070
0
0
13
11
4
1
1
1
21
20
17
19
Western Pacific Region
74
534
64
889
467
0
0
6
4
1
1
0
0
23
16
15
17
Low income
636
757
124
3065
2658
4
3
14
12
5
1
11
11
19
18
12
14
Lower middle income
233
658
82
5104
4180
2
2
13
11
6
2
6
6
20
19
16
18
Upper middle income
125
608
81
1315
691
3
3
6
4
0
1
0
0
19
14
17
19
High income
31
380
41
98
85
0
0
1
1
0
0
1
1
5
4
25
23
Global
230
573
78
9581
7614
3
2
12
10
5
1
7
7
19
18
15
17
WHO region
Income group
78
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Mortality
Other diseases
2000
2010
2000
2010
2000
2000
0
0
0
0
0
2
9
9
4
4
15
18
40
48
10
14
43
48
7
9
5
5
3
8
8
6
6
15
10
11
8
8
5
2010
Injuries
Table 2
Congenital
anomalies
Member State
Cardiovascular
dieases and
diabetes
Chronic
respiratory
conditions
Neonatal sepsis
Cancer
Birth asphyxia
Age-standardized adult
mortality rate by cause a
(ages 30-70 per 100 000 population)
All causes
Distribution of causes of death among children aged < 5 years b
(%)
2010
2000
2010
2008
0
3
0
0
220
59
59
2
17
19
5
6
774
140
284
29
Median
100
42
29
56
3147
284
1427
195
Maximum
5
13
17
3
4
1716
147
382
92
African Region
17
23
20
6
17
532
136
169
24
Region of the Americas
7
14
12
3
4
987
125
322
109
South-East Asia Region
Minimum
8
9
5
4
16
19
23
24
6
6
626
166
238
17
European Region
11
11
6
7
6
7
17
18
4
5
881
127
344
46
Eastern Mediterranean Region
16
14
3
3
8
12
18
22
8
9
545
168
184
41
Western Pacific Region
8
9
5
5
3
4
15
18
3
5
1354
154
375
77
Low income
10
10
7
7
5
6
14
14
3
4
808
150
273
73
Lower middle income
14
12
3
4
11
15
19
22
7
8
805
158
295
27
Upper middle income
8
6
3
3
26
25
22
25
9
14
376
141
104
14
High income
10
10
6
6
6
7
15
16
4
5
764
150
245
52
Global
79
2. Cause-specific mortality and morbidity (contd.)
Member State
Mortality
MDG 5
Maternal mortality ratio c
(per 100 000 live births)
MDG 6
Cause-specific mortality rate
(per 100 000 population)
HIV/AIDS d
1990
2000
Malaria e
Tuberculosis among
HIV-negative people f
2010
2001
2011
2010
2000
2011
0.0
Ranges of country values
Minimum
6
4
2
0.0
0.1
0.0
0.0
Median
110
90
66
6.5
11
1.7
7.1
4.6
Maximum
1 600
1 300
1 100
1214
638
191
142
159
African Region
820
720
480
219
139
72
37
26
Region of the Americas
100
80
63
12
9.0
0.2
3.6
2.2
South-East Asia Region
590
370
200
14
12
2.4
43
26
European Region
44
29
20
5.0
11
…
8.0
5.0
Eastern Mediterranean Region
430
360
250
4.8
7.7
3.5
29
16
Western Pacific Region
140
77
49
2.4
4.4
0.2
12
6.9
Low income
810
630
410
138
72
39
48
33
Lower middle income
560
420
260
26
25
14
38
22
Upper middle income
120
76
53
18
20
0.6
10
5.7
High income
16
13
14
3.0
2.7
…
1.2
0.9
Global
400
320
210
31
25
12
22
14
WHO region
Income group
a
Mortality estimates for WHO Member States in 2008. Geneva, World
Health
Organization,
2011
(http://www.who.int/entity/healthinfo/statistics/
bodgbddeathdalyestimates.xls). Please refer to the web site for further information on
methods, country-level information used and margins of uncertainty. Communicable
diseases include maternal causes, conditions arising during the perinatal period
and nutritional deficiencies. Rates are age-standardized to WHO’s world standard
population. Ahmad OB et al. Age standardization of rates: a new WHO standard.
Geneva, World Health Organization, 2001 (GPE Discussion Paper Series No. 31)
(http://www.who.int/healthinfo/paper31.pdf). Income-group aggregates are based
on the 2008 World Bank list of economies.
b.
Liu L et al. Global, regional, and national causes of child mortality in 2000–2010:
an updated systematic analysis. Lancet, 2012, 9 June, 379(9832):2151–2161.
Prepared on behalf of the Child Health Epidemiology Reference Group of WHO and
UNICEF. Individual percentages may not add up to 100% due to rounding. Incomegroup aggregates are based on the 2011 World Bank list of economies.
c.
Trends in Maternal Mortality: 1990 to 2010. WHO, UNICEF, UNFPA and the
World Bank. Geneva, World Health Organization, 2012 (http://whqlibdoc.who.int/
publications/2012/9789241503631_eng.pdf). Income-group aggregates are based
on the 2011 World Bank list of economies. For uncertainty ranges see report.
d.
UNAIDS Report on the Global AIDS Epidemic 2012. Geneva, UNAIDS, 2012
(http://www.unaids.org/en/resources/campaigns/20121120_globalreport2012/
globalreport). For uncertainty ranges see the full report. WHO regional, incomegroup and global aggregates may include country estimates not available for
reporting.
e.
World Malaria Report 2012. Geneva, World Health Organization, 2012 (http://
www.who.int/malaria/publications/world_malaria_report_2012/en/index.html). For
uncertainty ranges see the report.
f.
These are classified as deaths from tuberculosis (A15–A19, B90) according to the
International Statistical Classification of Diseases and Related Health Problems,
10th Revision. Geneva, World Health Organization, 2008 (http://apps.who.int/
classifications/icd10/browse/2010/en). Global Tuberculosis Report 2012. Geneva,
World Health Organization, 2012 (http://www.who.int/tb/publications/global_
report/). WHO regional, income-group and global aggregates include territories. For
uncertainty ranges see the full report.
g.
Data are for all forms of tuberculosis including tuberculosis in people with HIV
infection. Global Tuberculosis Report 2012. Geneva, World Health Organization,
2012 (http://www.who.int/tb/publications/global_report/). WHO regional, incomegroup and global aggregates include territories. For uncertainty ranges see the full
report.
80
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Morbidity
Member State
MDG 6
HIV/AIDS d
Malaria e
2001
2011
Prevalence
(per 100 000 population)
Tuberculosis g
HIV/AIDS d
2010
2000
2011
2001
Tuberculosis g
2011
2000
2011
Table 2
Incidence rate
(per 100 000 population)
0.3
0.9
0.0
1.6
0.5
1.0
5.1
2
0.7
Minimum
102
54
1 790
77
57
232
266
112
78
Median
1 792
1 166
38 479
1 407
1 317
15 084
15 816
1 619
1 372
Maximum
351
205
20 913
311
262
3 095
2 725
374
293
African Region
20
16
194
41
28
298
319
55
35
Region of the Americas
20
12
1 773
218
189
215
189
445
271
South-East Asia Region
19
20
…
74
42
188
263
123
56
European Region
11
17
2 491
118
109
76
113
245
170
Eastern Mediterranean Region
7.2
7.0
104
120
92
40
72
209
138
Western Pacific Region
173
104
12 201
308
252
1 704
1 390
472
346
Low income
47
34
5 095
203
169
400
410
404
243
Lower middle income
42
29
236
111
88
344
413
164
107
Upper middle income
8.3
8.1
…
19
14
175
223
28
18
High income
52
37
4 082
148
125
484
499
257
170
Global
81
82
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Table 3 has been compiled from official national reports of case numbers for selected infectious
diseases. Decisions on which diseases to include have primarily been made on the basis of data
availability. Where possible, a distinction is made between zero cases reported and no information
available for a country. In isolation, the numbers shown provide no indication of the relative risk of
disease, nor of the quality of disease reporting in different countries. However, the table does provide
an indication of the current status of officially reported infectious disease data at the global level, and
of the major reporting gaps. Given the variations in the methods used by countries to obtain these
numbers, no attempt has been made to calculate incidence or prevalence.
To meaningfully interpret the figures provided, both epidemiological patterns and data-collection
efforts in specific countries must be considered. Some diseases (for example, malaria and yellow
fever) are endemic to certain geographical regions, but are extremely rare elsewhere. Diseases such
as plague are liable to cause outbreaks that can cause case numbers to fluctuate widely over time.
Because some diseases are best tackled with preventive measures such as mass drug treatment,
reporting the number of cases is a lower priority than estimating the population at risk. For vaccinepreventable diseases, case numbers are affected by immunization rates. Diseases such as H5N1
influenza, Japanese encephalitis and malaria are difficult to identify without specialized laboratory
tests that are often not available in developing countries. In many settings, cases of some diseases
are identified through clinical signs and symptoms alone.
Despite ongoing efforts to enhance disease surveillance and response, many countries face challenges in accurately identifying, diagnosing and reporting infectious diseases due to the remoteness
of communities, lack of transport and communication infrastructures, and a shortage of skilled health
care workers and laboratory facilities to ensure accurate diagnosis. No inferences can be drawn
from the figures shown concerning the efforts or progress that countries are making in controlling
particular diseases. Case numbers are also a poor indication of the burden of disease. Diseases
such as H5N1 influenza and plague have high mortality rates, while diseases such as poliomyelitis
and leprosy have low mortality rates but result in a heavy loss of healthy years of life. Some diseases
with very small initial case numbers can potentially cause devastating epidemics, and so mandatory
reporting is essential. For diseases that are considered eradicable (such as leprosy and poliomyelitis)
case reporting is essential to ensure that eradication efforts are targeted to the affected areas.
Some diseases are reported under the International Health Regulations, while others are monitored
by countries or by WHO in the context of specific control programmes. Further information on disease incidence and prevalence, as well as on immunization coverage rates for vaccine-preventable
diseases, can be obtained from the relevant WHO programme.
83
Table 3
3. Selected infectious diseases
3. Selected infectious diseases
Afghanistan
2011
2011
Mumps b
2011
Meningitis f
2012
Measles b
Japanese
encephalitis b
2011
Malaria e
H5N1
influenza c
2011
Leprosy d
Diphtheria b
Number of reported cases
Cholera a
Member State
2011
2012
2011
3 733
0
…
…
50
77 549
3 013
…
…
Albania
…
…
…
…
…
…
…
…
…
Algeria
…
1
…
0
0
191
112
…
0
Andorra
…
0
…
…
…
…
0
…
0
Angola
1 810
0
…
0
508
1 632 282
1 449
…
…
Antigua and Barbuda
…
0
…
…
…
…
0
…
0
Argentina
…
0
…
…
340
18
3
…
5 481
Armenia
…
0
…
0
…
0
0
…
15
Australia
6k
4
…
0
7
…
190
…
145
Austria
…
0
…
0
…
…
68
…
…
Azerbaijan
…
0
0
0
…
8
0
…
101
Bahamas
1k
0
…
…
…
…
0
…
0
Bahrain
…
0
…
0
4
…
0
…
18
Bangladesh
…
11
3
103
3 970
51 773
5 625
…
…
Barbados
…
0
…
…
1
…
0
…
0
Belarus
…
0
…
0
…
…
50
…
48
Belgium
…
0
…
0
…
…
576
…
15
Belize
…
0
…
…
0
79
0
…
0
Benin
755
…
…
…
246
422 968
426
1 165
…
Bhutan
…
0
…
3
23
194
10
…
262
Bolivia (Plurinational State of)
…
0
…
…
…
7 143
0
…
1 096
Bosnia and Herzegovina
…
0
…
0
…
…
10
…
8 209
Botswana
…
0
…
…
…
432
8
…
…
Brazil
1k
6
…
…
33 955
267 045
43
…
0
Brunei Darussalam
3k
0
…
0
…
…
4
…
19
Bulgaria
…
0
…
0
…
…
157
…
139
Burkina Faso
20
0
…
…
…
428 113
860
6 957
0
Burundi
1 072
0
…
0
445
1 571 874
129
…
0
Cambodia
…
…
3
45
314
57 423
722
…
…
Cameroon
22 433
…
…
…
552
0
504
542 l
…
Canada
9k
1
…
…
…
…
759
…
282
Cape Verde
…
0
…
0
4
36
0
…
198
Central African Republic
117
…
…
…
141
0
679
266 m
…
Chad
17 267
…
…
…
…
181 126
8 650
3 874 n
…
Chile
1k
0
…
…
0
…
6
…
950
China
26 o
0
2
1 625
1 144
3 367
9 943
…
454 385
Colombia
…
0
…
…
434
64 309
6
…
15 926
Comoros
…
…
…
…
502
24 856
3
…
…
Congo
762
0
…
…
146
71 048
315
…
…
Cook Islands
…
0
…
…
…
…
0
…
0
Costa Rica
…
0
…
…
16
17
0
…
1
Côte d'Ivoire
1 261
…
…
…
770
29 976
628
500
…
Croatia
…
0
…
0
…
…
12
…
86
Cuba
…
0
…
…
254
…
0
…
0
Cyprus
…
0
…
…
…
…
0
…
0
Czech Republic
…
0
…
0
…
…
17
…
2 885
Democratic People's Republic of Korea
Democratic Republic of the Congo
Denmark
…
0
…
0
0
16 760
0
…
66
21 700
…
…
…
3 949
4 561 981
133 802
10 141 p
…
…
0
…
…
…
…
84
…
13
84
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Neonatal tetanus b
Total tetanus b
Tuberculosis i
Yellow fever b
2012
2011
2011
2011
2011
2011
2011
0
…
41 j
…
750
20
20
27 983
…
Afghanistan
…
…
0
…
…
…
…
422
…
Albania
1
…
0
0
170
0
0
21 429
0
Algeria
4
…
0
0
0
0
0
3
0
Andorra
1 554
…
0
…
24
75
953
47 240
0
Angola
0
…
0
0
0
0
0
6
0
Antigua and Barbuda
1 594
…
0
0
1
0
1
9 610
0
Argentina
1
…
0
0
0
0
0
1 261
0
Armenia
38 040
…
0
0
60
0
3
1 222
0
Australia
309
…
0
…
2
…
0
400
0
Austria
27
…
0
0
0
0
0
6 527
0
Azerbaijan
0
…
0
0
0
0
0
41
0
Bahamas
0
…
0
0
3
0
0
225
0
Bahrain
44
…
0
…
5 631
98
644
150 899
…
Bangladesh
0
…
0
0
0
0
0
0
0
Barbados
151
…
0
0
20
0
0
4 697
0
Belarus
103
…
0
0
…
0
0
…
0
Belgium
0
…
0
0
0
0
0
74
0
Belize
0
…
0
…
20
6
6
4 212
0
Benin
0
…
0
…
3
0
3
1 235
0
Bhutan
Bolivia (Plurinational State of)
0
…
0
0
0
1
1
8 521
2
30
…
0
0
31
0
0
1 360
0
Bosnia and Herzegovina
0
…
0
…
214
0
0
6 603
…
Botswana
1 774
…
0
0
0
6
307
74 892
0
Brazil
3
…
0
0
2
0
1
230
0
Brunei Darussalam
46
…
0
0
41
0
4
2 172
0
6
…
0
0
…
2
3
5 286
1 024
Bulgaria
Burkina Faso
0
…
0
0
67
2
2
6 742
0
Burundi
…
…
0
9
1 096
9
…
38 555
…
Cambodia
…
…
0
…
106
31
93
24 533
29
Cameroon
676
…
0
1
2
0
2
1 391
2
Canada
1
…
0
0
10
0
2
380
0
Cape Verde
100
…
0
…
15
49
49
5 611
7
…
…
17
…
0
215
215
10 505
122
Chad
Central African Republic
2 582
…
0
0
1
0
12
2 450
0
Chile
2 517
…
0
…
65 549
…
…
899 669
…
China
1 010
…
0
0
1
2
37
11 523
0
Colombia
…
…
0
…
…
0
0
117
…
Comoros
0
…
0
…
…
0
0
10 975
188
Congo
Cook Islands
0
…
0
0
0
0
0
1
…
79
…
0
0
0
0
1
514
0
Costa Rica
…
…
0
…
43
3
…
22 476
10
Côte d'Ivoire
103
…
0
0
0
0
2
619
0
Croatia
0
…
0
0
0
0
1
805
0
Cuba
2
…
0
0
0
0
0
…
0
Cyprus
324
…
0
1
27
0
0
…
0
Czech Republic
13
…
0
0
5
0
0
91 433
0
Democratic People's Republic of Korea
2 452
131
17 j
…
318
888
943
110 132
195
Democratic Republic of the Congo
71
…
0
0
0
0
0
…
…
Denmark
85
Table 3
Rubella b
2012
Congenital
rubella
syndrome b
Plague g
2011
Member State
Poliomyelitis h
Pertussis b
Number of reported cases
3. Selected infectious diseases
Dominica
Leprosy d
Malaria e
2012
2011
2011
2011
127
0
0
…
6
Mumps b
Japanese
encephalitis b
2011
Meningitis f
H5N1
influenza c
2011
Measles b
Diphtheria b
Djibouti
Number of reported cases
Cholera a
Member State
2011
2012
2011
0
49
…
…
0
…
0
…
…
…
…
0
…
20 851 q
2
…
…
154
1 616
2
…
0
Ecuador
…
0
…
…
112
1 233
201
…
733
Egypt
…
0
11
…
649
…
26
…
531
El Salvador
…
0
…
…
1
15
0
…
632
Equatorial Guinea
…
0
…
…
…
22 466
0
…
…
Eritrea
…
5
…
…
…
34 848
48
…
3 825
Estonia
…
0
…
0
…
…
7
…
8
Ethiopia
…
…
…
…
5 280
1 480 306
3 255
150
…
Fiji
…
…
…
…
…
…
…
…
…
Finland
…
0
…
0
…
…
27
…
2
France
1k
…
…
…
…
…
14 949
…
…
Gabon
…
…
…
…
32
0
2
…
…
Gambia
…
0
…
0
30
261 967
0
200
0
Georgia
…
1
…
0
…
6
64
…
44
Germany
4k
4
…
…
…
…
1 607
…
…
Ghana
10 628
…
…
…
…
1 041 260
120
739
…
Greece
…
0
…
0
…
…
40
…
1
Grenada
…
0
…
…
…
…
0
…
0
Guatemala
…
0
…
…
3
6 822
0
…
0
Guinea
3
0
…
…
498
95 574
11
196
…
Guinea-Bissau
…
0
…
0
45
71 982
0
…
0
Guyana
…
0
…
…
23
29 471
0
…
0
Dominican Republic
Haiti
340 311
2
…
…
…
32 048
0
…
…
Honduras
…
0
…
…
2
7 615
0
…
143
Hungary
…
0
…
0
…
…
5
…
5
Iceland
…
0
…
0
…
…
0
…
0
India
…
3 485
…
8 247
127 295
1 310 367
29 339
…
…
…
Indonesia
…
806
9
…
20 023
256 592
21 893
…
1 187
132
…
…
36
3 239
73
…
…
Iraq
…
0
0
…
1
11
15
…
1 944
Ireland
…
0
…
0
…
…
285
…
177
Israel
…
0
…
…
…
…
70
…
301
Italy
…
0
…
…
…
…
5 189
…
726
Jamaica
…
0
…
…
…
…
0
…
4
Japan
12 r
0
…
9
…
…
434
…
137 060
Jordan
…
0
…
0
0
…
0
…
175
Kazakhstan
…
0
…
…
…
…
127
…
51
Kenya
74
…
…
0
105
1 002 805
2 395
…
0
Kiribati
…
0
…
0
111
…
0
…
…
Kuwait
…
0
…
0
16
…
32
…
62
Kyrgyzstan
…
0
…
…
…
5
222
…
300
Lao People's Democratic Republic
…
0
0
24
93
17 835
113
…
54
Latvia
…
6
…
0
…
…
1
…
10
Lebanon
…
0
…
…
3
…
9
…
12
Lesotho
…
0
…
0
6
…
172
…
0
Liberia
1 146
0
…
0
662
1 915 762
279
…
0
Libya
…
…
…
…
3
…
…
…
…
Iran (Islamic Republic of)
86
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Poliomyelitis h
Congenital
rubella
syndrome b
Rubella b
Neonatal tetanus b
Total tetanus b
Tuberculosis i
Yellow fever b
2011
2012
2012
2011
2011
2011
2011
2011
2011
…
…
0
…
15
…
…
0
…
0
0
0
0
3
…
0
0
0
2
3
…
0
0
0
2
0
…
0
…
30
11
…
0
0
0
…
0
91
…
0
3 686
…
Djibouti
0
2
0
Dominica
45
4 309
0
Dominican Republic
2
5 106
0
Ecuador
20
264
8 974
…
Egypt
0
0
9
1 896
0
El Salvador
0
…
3
3
883
0
Equatorial Guinea
…
354
0
17
3 049
…
Eritrea
478
…
0
0
0
0
2
296
0
Estonia
…
…
0
…
174
33
33
156 539
…
Ethiopia
…
…
0
…
…
…
…
208
…
Fiji
555
…
0
1
2
…
…
312
0
Finland
…
…
0
0
…
0
9
…
0
France
…
…
0
…
4
0
…
4 404
0
Gabon
0
…
0
0
42
2
2
2 248
0
Gambia
33
…
0
0
64
0
5
4 547
0
Georgia
…
…
0
0
…
…
…
3 528
0
Germany
…
…
0
…
712
5
…
15 389
30
Ghana
3
…
0
0
0
0
11
…
0
Greece
0
…
0
0
0
0
0
2
0
Grenada
0
…
0
0
0
1
2
3 040
0
Guatemala
…
…
0
…
34
17
64
11 359
0
Guinea
0
…
0
…
3
0
0
2 063
0
Guinea-Bissau
0
…
0
0
0
0
0
710
0
Guyana
Haiti
0
…
0
0
0
0
0
14 315
…
113
…
0
0
0
2
14
3 233
0
Honduras
9
…
0
0
3
0
4
…
0
Hungary
0
…
0
0
0
0
0
8
0
Iceland
35 217
…
0
…
…
653
4 493
1 323 949
…
India
1 941
…
0
…
1 959
114
210
318 949
…
Indonesia
650
…
0
0
20
3
18
10 980
…
Iran (Islamic Republic of)
2 019
…
0
1
18
10
39
8 837
0
Iraq
229
…
0
0
6
0
0
281
0
Ireland
2 345
…
0
0
1
0
0
412
0
Israel
302
…
0
0
84
0
58
1 658
…
Italy
1
…
0
0
0
0
1
105
0
Jamaica
4 395
…
0
1
369
…
111
22 119
0
Japan
0
…
0
0
1
0
0
314
0
Jordan
66
…
0
0
44
0
3
18 254
…
Kazakhstan
…
…
3
0
610
…
…
97 320
0
Kenya
0
…
0
0
0
0
0
343
…
Kiribati
16
…
0
1
38
0
0
672
0
Kuwait
77
…
0
0
3
0
0
5 529
…
Kyrgyzstan
38
…
0
…
169
6
24
4 306
…
Lao People's Democratic Republic
10
…
0
0
2
0
0
864
0
Latvia
7
…
0
0
4
0
0
496
0
Lebanon
0
…
0
0
172
0
0
11 432
0
Lesotho
0
…
0
0
0
3
3
7 906
0
Liberia
…
…
0
…
…
…
…
1 518
…
Libya
87
Table 3
Plague g
Member State
Pertussis b
Number of reported cases
3. Selected infectious diseases
Leprosy d
Malaria e
2012
2011
2011
2011
Lithuania
…
1
…
0
Luxembourg
…
0
…
0
Madagascar
…
5
…
0
Malawi
120
…
…
…
…
Malaysia
586 s
0
…
12
216
Maldives
…
0
…
0
Mali
2 220
…
…
Malta
…
0
…
Marshall Islands
…
0
Mauritania
46
Mauritius
…
…
Mumps b
Japanese
encephalitis b
2011
Meningitis f
H5N1
influenza c
2011
Measles b
Diphtheria b
Number of reported cases
Cholera a
Member State
2011
2012
2011
64
…
7
…
…
…
6
…
0
1 577
224 498
0
…
12
304 499
26
…
…
5 306
1 569
…
…
14
…
0
…
69
…
226
307 035
24
688
…
0
…
…
3
…
0
…
0
116
…
0
…
0
…
…
…
…
2 926
234
41
…
0
…
0
…
…
2
…
0
Mexico
1
0
…
…
215
1 124
3
…
2 685
Micronesia (Federated States of)
…
…
…
…
196
…
0
…
…
Monaco
…
…
…
…
…
…
…
…
…
Mongolia
…
0
…
0
…
…
0
…
1 016
Montenegro
…
0
…
0
…
…
5
…
57
Morocco
…
0
…
0
51
…
982
…
…
Mozambique
1 279
…
…
…
1 097
1 756 874
177
…
…
Myanmar
16
7
0
20
3 082
465 294
2 046
…
…
Namibia
…
2
…
0
6
1 860
79
…
0
Nauru
…
0
…
0
…
…
0
…
0
Nepal
12
94
…
126
3 184
3 414
2 359
…
39 023
Netherlands
…
1
…
…
…
…
51
…
610
New Zealand
…
20
…
0
1
…
597
…
52
Nicaragua
…
0
…
…
6
925
0
…
1
Niger
2 324
0
…
…
364
780 876
771
314
…
Nigeria
0
23 377
0
0
0
…
0
18 843
1 206
Niue
…
0
…
0
…
…
0
…
0
Norway
…
0
…
0
…
…
39
…
16
Oman
…
0
…
0
3
0
5
…
121
Pakistan
527
22
0
…
429
0
4 386
…
…
Palau
…
0
…
0
…
…
0
…
0
Panama
…
0
…
…
2
354
4
…
111
1 535
0
…
…
302
80 928
0
…
…
…
2
…
…
468
10
0
…
283
Papua New Guinea
Paraguay
Peru
…
0
…
…
21
22 878
0
…
0
Philippines
120
…
…
…
1 818
9 552
6 538
…
…
Poland
…
…
…
…
…
…
…
…
…
Portugal
…
0
…
…
…
…
2
…
134
Qatar
…
0
…
0
25
…
101
…
368
Republic of Korea
3
0
…
3
7
838
42
…
6 241
Republic of Moldova
…
0
…
0
…
…
0
…
143
Romania
…
0
…
0
…
…
4 189
…
195
Russian Federation
…
5
…
…
…
0
629
…
406
Rwanda
…
0
…
…
43
208 858
31
…
…
Saint Kitts and Nevis
…
0
…
…
0
…
0
…
0
Saint Lucia
…
0
…
…
7
…
0
…
0
Saint Vincent and the Grenadines
…
0
…
…
…
…
0
…
0
Samoa
…
0
…
0
…
…
0
…
0
88
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
0
0
2011
2011
2011
2011
2011
0
0
2
1 745
0
Lithuania
Luxembourg
4
…
0
0
0
…
0
11
0
369
256
0
0
196
43
728
26 019
0
Madagascar
…
…
0
…
267
8
8
19 361
…
Malawi
248
…
0
…
374
3
11
19 808
…
Malaysia
0
…
0
0
1
0
3
87
0
Maldives
…
…
0
…
125
11
…
5 428
0
Mali
8
…
0
0
1
0
0
22
0
Malta
0
…
0
0
0
0
0
139
0
Marshall Islands
…
…
0
…
…
…
…
1 776
…
Mauritania
0
…
0
0
4
0
1
114
0
Mauritius
252
…
0
0
0
1
23
19 857
0
Mexico
…
…
0
…
…
…
…
148
…
Micronesia (Federated States of)
…
…
0
…
…
…
…
…
…
Monaco
0
…
0
0
13
0
0
4 217
0
Mongolia
8
…
0
…
0
0
1
110
0
Montenegro
35
…
0
…
8
4
16
28 640
0
Morocco
…
…
0
…
143
47
60
44 627
…
Mozambique
5
…
0
…
103
32
178
136 737
…
Myanmar
16
…
0
0
140
5
10
10 806
0
Namibia
0
…
0
0
0
0
0
5
0
Nauru
1 733
…
0
…
1 175
95
193
35 434
…
Nepal
6 726
…
0
0
2
0
5
970
…
Netherlands
1 992
…
0
0
22
0
0
305
0
New Zealand
87
…
0
0
0
0
0
2 693
0
Nicaragua
983
…
1j
…
19
11
131
10 325
20
Niger
0
…
130 j
0
3 691
82
114
86 778
387
Nigeria
0
…
0
0
0
0
0
1
0
Niue
3 695
…
0
0
2
0
0
…
0
Norway
Oman
88
…
0
0
1
0
2
337
0
156
…
73
…
189
505
516
261 041
…
Pakistan
0
…
0
0
0
0
0
12
0
Palau
36
…
0
0
0
0
1
1 553
0
Panama
4 625
…
0
…
19
56
56
14 893
…
Papua New Guinea
11
…
0
0
0
0
10
2 372
0
Paraguay
56
5
0
0
0
1
38
31 241
13
Peru
…
…
0
…
926
166
1 537
195 560
…
Philippines
…
…
0
…
…
…
…
7 946
…
Poland
32
…
0
0
0
0
0
…
0
Portugal
0
…
0
0
16
0
0
553
0
Qatar
97
…
0
…
53
0
19
42 589
0
Republic of Korea
102
…
0
0
0
0
0
4 208
0
Republic of Moldova
86
…
0
0
3 494
0
20
16 866
0
Romania
4 733
…
0
0
349
0
8
112 910
0
Russian Federation
0
…
0
…
62
0
0
6 623
0
Rwanda
0
…
0
0
0
0
0
1
0
Saint Kitts and Nevis
0
…
0
0
0
0
1
7
0
Saint Lucia
0
…
0
0
0
0
0
17
0
Saint Vincent and the Grenadines
0
…
0
0
1
0
0
20
0
Samoa
89
Table 3
…
30
Yellow fever b
2011
Tuberculosis i
Congenital
rubella
syndrome b
2012
Total tetanus b
Poliomyelitis h
2012
Neonatal tetanus b
Plague g
2011
Member State
Rubella b
Pertussis b
Number of reported cases
3. Selected infectious diseases
Diphtheria b
H5N1
influenza c
Japanese
encephalitis b
Leprosy d
Malaria e
Measles b
Meningitis f
Mumps b
Number of reported cases
Cholera a
Member State
2011
2011
2012
2011
2011
2011
2011
2012
2011
San Marino
…
…
…
0
…
…
0
…
1
Sao Tome and Principe
…
0
…
…
…
8 442
0
…
…
Saudi Arabia
…
3
…
0
6
2 788
362
…
26
Senegal
5
…
…
…
…
0
18
894
…
Serbia
…
0
…
…
…
…
370
…
63
Seychelles
…
0
…
0
1
…
0
…
0
Sierra Leone
…
…
…
…
…
638 859
1 865
…
…
Singapore
2k
0
…
0
11
…
148
…
501
Slovakia
…
0
…
0
…
…
0
…
2
Slovenia
…
0
…
0
…
…
22
…
4
Solomon Islands
…
0
…
0
…
26 657
0
…
0
77 636
…
…
…
255
3 351
17 298
…
…
…
Somalia
South Africa
…
0
…
0
…
9 866
92
…
South Sudan
…
…
…
…
1 799
112 024
1 256
…
…
Spain
…
0
…
0
…
…
3 802
…
4 416
Sri Lanka
…
0
…
30
2 178
175
60
…
1 129
…
…
Sudan
…
193
…
…
706
506 806
5 616
524 t
Sudan (former)
…
…
…
…
…
…
…
…
Suriname
…
0
…
…
41
750
0
…
0
Swaziland
…
0
…
0
…
549
0
…
6 773
Sweden
1k
2
…
0
…
…
26
…
38
Switzerland
…
…
…
…
…
…
621
…
…
Syrian Arab Republic
…
0
…
0
2
0
13
…
95
Tajikistan
…
0
…
…
…
78
1
…
1 441
Thailand
279
29
0
53
280
24 897
3 066
…
9 901
The former Yugoslav Republic of Macedonia
…
0
…
…
…
…
701
…
111
Timor-Leste
…
0
…
0
83
19 739
763
…
0
Togo
4
0
…
…
…
519 450
187
408
…
Tonga
…
0
…
0
…
…
0
…
0
Trinidad and Tobago
…
0
…
…
…
…
0
…
0
Tunisia
…
0
…
…
3
…
11
…
…
Turkey
…
1
0
…
…
128
111
…
1 609
Turkmenistan
…
2
…
…
…
0
0
…
31
Tuvalu
…
0
…
…
…
…
0
…
0
Uganda
…
…
…
…
342
231 873
3 312
…
…
Ukraine
33
8
…
0
…
…
1 333
…
955
United Arab Emirates
…
…
…
…
…
…
…
…
…
United Kingdom
32 k
2
…
0
…
…
1 112
…
2 716
United Republic of Tanzania
942
0
…
…
…
0
1 622
…
…
United States of America
42 u
0
…
…
173
…
222
…
404
Uruguay
…
0
…
…
12
…
0
…
…
Uzbekistan
…
0
…
0
…
1
476
…
1 160
Vanuatu
…
0
…
…
2
4 820
0
…
…
Venezuela (Bolivarian Republic of)
49 k
0
…
…
577
45 824
0
…
2 740
Viet Nam
3
13
4
126
748
16 612
750
…
…
31 789
2
…
…
299
90 410
2 676
…
3 306
Yemen
Zambia
330
0
…
0
376
0
13 234
…
…
Zimbabwe
1 220
0
…
…
…
319 935
0
…
…
90
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Poliomyelitis h
Congenital
rubella
syndrome b
Rubella b
Neonatal tetanus b
Total tetanus b
Tuberculosis i
Yellow fever b
2011
2012
2012
2011
2011
2011
2011
2011
2011
0
…
0
0
0
0
0
…
0
San Marino
0
…
0
…
…
0
0
136
0
Sao Tome and Principe
13
…
0
…
…
14
26
3 932
0
Saudi Arabia
…
…
0
…
141
21
144
11 022
7
Senegal
25
…
0
0
14
0
6
2 171
…
Serbia
5
…
0
0
0
0
0
21
0
Seychelles
23
…
0
…
54
56
112
12 734
361
Sierra Leone
29
…
0
2
110
0
0
1 641
0
Singapore
936
…
0
0
0
0
1
352
0
Slovakia
284
…
0
0
0
0
2
181
0
Slovenia
0
…
0
0
0
0
0
398
0
Solomon Islands
3 028
…
1j
…
…
233
233
11 653
…
Somalia
181
…
0
…
3 266
3
…
343 715
0
South Africa
South Sudan
…
…
0
…
…
45
…
7 217
128
3 088
…
0
0
30
0
9
6 044
0
Spain
23
…
0
3
416
0
14
9 755
0
Sri Lanka
132
…
0
…
237
168
174
19 348
…
Sudan
…
…
…
…
…
…
…
…
…
Sudan (former)
0
…
0
0
0
0
1
124
0
Suriname
0
…
0
0
20
0
1
8 337
0
Swaziland
177
…
0
1
4
0
3
457
0
Sweden
…
…
0
0
9
…
…
379
…
Switzerland
90
…
0
0
7
2
3
3 395
0
Syrian Arab Republic
56
…
0
0
0
0
3
6 290
…
Tajikistan
15
…
0
…
514
1
109
65 824
0
Thailand
6
…
0
…
8
0
0
335
0
The former Yugoslav Republic of Macedonia
4
…
0
0
0
2
3
4 386
0
Timor-Leste
34
…
0
…
69
28
28
2 888
0
Togo
0
…
0
0
0
0
0
9
0
Tonga
0
…
0
0
0
0
0
224
0
Trinidad and Tobago
0
…
0
…
1 075
0
1
3 015
…
Tunisia
242
…
0
1
1 734
0
24
15 054
0
Turkey
0
…
0
0
0
0
0
…
…
Turkmenistan
0
…
0
0
0
0
0
12
…
Tuvalu
…
…
0
…
3 312
207
623
46 306
66
Uganda
2 937
…
0
2
3 667
0
12
34 237
0
Ukraine
United Arab Emirates
…
…
0
…
…
…
…
103
…
1 243
…
0
1
5
0
3
7 850
0
United Kingdom
0
7
0
…
18
0
…
59 357
…
United Republic of Tanzania
18 610
1
0
0
4
1
37
10 521
0
United States of America
…
…
0
0
0
0
0
817
0
Uruguay
36
…
0
0
23
0
0
14 501
0
Uzbekistan
0
…
0
…
…
0
0
110
…
Vanuatu
3
…
0
0
0
3
26
6 282
0
Venezuela (Bolivarian Republic of)
105
…
0
189
7 259
32
186
98 804
…
Viet Nam
2 280
…
2j
…
337
38
38
8 636
0
Yemen
0
…
0
0
1 124
0
0
43 583
0
Zambia
0
…
0
…
447
7
7
38 404
…
Zimbabwe
91
Table 3
Plague g
Member State
Pertussis b
Number of reported cases
3. Selected infectious diseases
Diphtheria b
H5N1
influenza c
Japanese
encephalitis b
Leprosy d
Malaria e
Measles b
Meningitis f
Mumps b
Number of reported cases
Cholera a
Member State
2011
2011
2012
2011
2011
2011
2011
2012
2011
1
0
0
0
Ranges of country values
Minimum
0
0
0
41
0
120
0
0
0
108
8 997
25
533
38
340 311
3 485
11
8 247
127 295
4 561 981
133 802
10 141
454 385
African Region
110 915
13
…
…
17 953
20 168 253
194 364
28 281
…
Region of the Americas
361 266
13
…
…
36 817
489 296
1 249
…
31 472
South-East Asia Region
…
4 432
…
8 582
160 132
2 149 205
65 161
…
…
Median
Maximum
WHO region
European Region
Eastern Mediterranean Region
Western Pacific Region
…
33
…
…
…
…
37 073
…
27 308
114 999
352
…
…
4 346
796 178
35 923
…
…
2 296
37
9
1 844
5 086
223 338
21 050
…
599 473
Income group
472 017
124
…
…
26 407
18 057 540
190 072
…
…
Lower middle income
…
4 532
…
8 430
159 287
3 656 120
110 192
…
…
Upper middle income
24 791
187
2
1 690
38 386
2 086 744
23 040
…
504 267
High income
116
37
…
…
…
…
31 516
…
157 455
Global
589 854
4 880
…
10 426
224 334
23 826 496
354 820
…
726 169
Low income
a.
Cholera annual report 2011. Weekly Epidemiological Record, 2012, 87(31/32):289–
304 (www.who.int/wer).
b.
Data provided by Member States through WHO/UNICEF Joint Reporting Form and
WHO regional offices. Geneva, World Health Organization, 2012 (www.who.int/
immunization_monitoring/data/en/, October 2012 update).
c.
Cumulative number of confirmed human cases of avian influenza A/(H5N1)
reported to WHO. Geneva, World Health Organization, 2012 (http://www.who.int/
influenza/human_animal_interface/H5N1_cumulative_table_archives/en/index.html,
accessed 15 January 2013).
d.
Global leprosy situation, 2012. Weekly Epidemiological Record, 2012, 87(34):317–
328 (www.who.int/wer).
e.
f.
g.
h.
i.
The number of new and relapse tuberculosis cases diagnosed and treated in national
tuberculosis control programmes and notified to WHO. Global Tuberculosis Report
2012. Geneva, World Health Organization, 2012 (www.who.int/tb/publications/
global_report/). WHO regional and global figures include territories.
j.
Confirmed polio cases refer to any circulating polioviruses from AFP (Wild poliovirus
and circulating Vaccine Derived Poliovirus -cVDPV). Figures include 4 cVDPV in
Afghanistan, 12 cVDPV in Chad, 17 cVDPV in Democratic Republic of the Congo,
3 cVDPV in Kenya, 8 cVDPV in Nigeria, 15 cVDPV in Pakistan, 1 cVDPV in Somalia
and 2 cVDPV in Yemen.
k.
All reported cases are imported.
l.
Number of cases reported up to 20 May 2012.
m.
Number of cases reported up to 10 June 2012.
n.
Number of cases reported up to 2 December 2012.
o.
1 of 26 reported cases are imported.
p.
Number of cases reported up to 23 December 2012.
q.
45 of 20 851 reported cases are imported.
Plague cases reported to WHO Global Alert and Response (GAR) as of January 2013.
r.
11 of 12 reported cases are imported.
Data from World Health Organization, Polio Eradication Initiative, as of 15 January
2013. (Updated information can be found at: http://www.who.int/immunization_
monitoring/en/diseases/poliomyelitis/case_count.cfm). Afghanistan, Nigeria and
Pakistan are currently endemic countries. For non-endemic countries, cases are the
result of importation.
s.
117 of 586 reported cases are imported.
t.
Number of cases reported up to 1 July 2012.
u.
40 of 42 reported cases are imported.
World Malaria Report 2012. Annex 6A Reported malaria cases and deaths, 2011,
and estimated cases and deaths, 2010. Geneva, World Health Organization, 2012
(http://www.who.int/malaria/publications/world_malaria_report_2012/en/index.
html).
Suspected meningitis cases reported to WHO Global Alert and Response (GAR) in
African countries under enhanced surveillance up to 28 November 2012.
92
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
0
0
2011
2011
2011
2011
2011
0
0
0
0
0
Minimum
Median
14
7
0
0
4
0
2
3 809
0
38 040
256
130
189
65 549
888
4 493
1 323 949
1 024
Maximum
5 816
…
168
…
16 190
1 863
4 355
1 367 193
2 446
African Region
26 901
…
0
1
9
22
572
218 328
17
Region of the Americas
38 995
…
0
…
…
995
5 850
2 138 688
…
South-East Asia Region
29 732
…
0
7
9 672
0
197
285 789
0
European Region
8 514
…
117
…
2 749
1 062
1 350
411 587
…
Eastern Mediterranean Region
52 089
…
0
…
76 022
…
…
1 350 639
…
Western Pacific Region
9 014
…
80
…
15 112
2 122
4 305
1 215 765
…
Low income
49 997
…
205
…
21 379
1 967
7 983
2 643 991
…
Lower middle income
18 047
…
0
…
77 100
…
…
1 788 357
…
Upper middle income
84 989
…
0
9
858
18
313
124 093
2
High income
162 047
…
285
…
114 449
4 214
14 272
5 772 224
…
Global
93
Table 3
1
0
Yellow fever b
2011
Tuberculosis i
Congenital
rubella
syndrome b
2012
Total tetanus b
Poliomyelitis h
2012
Neonatal tetanus b
Plague g
2011
Member State
Rubella b
Pertussis b
Number of reported cases
4. Health service coverage
Health service coverage indicators reflect the extent to which people in need actually receive important health interventions. Such interventions include reproductive health services; the provision of
skilled care to women during pregnancy and childbirth; immunization to prevent common childhood
infections; vitamin A supplementation in children; and the prevention and treatment of disease in
children, adolescents and adults. Table 4 presents data on the following related MDG indicators:
unmet need for family planning; contraceptive prevalence; antenatal care coverage; births attended
by skilled health personnel; measles immunization coverage among 1-year-olds; children aged
< 5 years sleeping under insecticide-treated nets; children aged < 5 years with fever who received
treatment with any antimalarial; antiretroviral therapy coverage among people with advanced HIV
infection; case-detection rate for all forms of tuberculosis; and treatment-success rate for smearpositive tuberculosis.
Data are also presented on births by caesarean section; postnatal care coverage; neonates protected at birth against neonatal tetanus; 1-year-olds immunized against diphtheria, tetanus and
pertussis, hepatitis B and Haemophilus influenzae type B; children aged 6–59 months who received
vitamin A supplementation; children aged < 5 years with acute respiratory infection (ARI) symptoms
taken to a health facility; children aged < 5 years with ARI symptoms receiving antibiotics; children
aged < 5 years with diarrhoea receiving oral rehydration therapy (ORT); and coverage of antiretroviral
therapy among pregnant women with HIV to prevent mother-to-child transmission (MTCT).
Coverage indicators are typically calculated by dividing the number of people receiving a defined intervention by the population eligible for – or in need of – the intervention. For example, immunization
coverage among 1-year-old children can be calculated from the number of children having received
a specific vaccine divided by the total population of 1-year-old children in each country. For indicators on antenatal care, births attended by skilled health personnel and births by caesarean section,
the denominator is the total number of live births in the defined population.
The main sources of data on health service coverage are household surveys and completed questionnaires on health service use. The principal types of surveys used are the UNICEF Multiple Indicator
Cluster Survey (MICS), the Demographic and Health Survey (DHS) and country health and economic
surveys. Other sources of data include the administrative records of routine service provision, which
provide data on the numerator. The denominator is estimated on the basis of census projections.
It should be borne in mind that administrative records tend to overestimate coverage as a result of
double counting in the numerator and uncertainty in the denominator. Although household surveys
are generally considered to be more reliable, these are subject to respondent reporting errors as
well as to margins of uncertainty due to sampling errors. In generating global estimates, it is good
practice to reconcile data from multiple sources in order to maximize the accuracy of all estimates.
Unavoidable terminology differences also exist between countries making standardization difficult.
94
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Table 4
For example, there are significant variations across countries in the precise skills and training of
health workers classified as “skilled birth attendants”. Indicator definitions may also change over
time. As a result of these and other issues, there may be limitations in the comparability of results
across countries and over time. WHO regional aggregates are not available for several coverage
indicators, reflecting both the limited availability of data for several indicators, and the fact that some
conditions (such as malaria) are not of public health significance in all countries.
95
4. Health service coverage
Member State
Unmet
need for
family
planninga
(%)
Contraceptive
prevalence a
(%)
MDG 5
Antenatal care
coverage b
(%)
Births
Births Postnatal Neonates
attended
care visit protected
by
by skilled caewithin
at birth
health sarean two days against
person- section b of child- neonatal
nel b
birth b tetanus c
(%)
(%)
(%)
(%)
Immunization coverage
among 1-year-olds d
(%)
MDG 4
At least At least
1 visit 4 visits
2005
–2012
2005
–2012
Afghanistan
…
Albania
13
Algeria
Measles
2005
–2011
2005
–2011
2011
1990
2000
DTP3
HepB3
Hib3
2011
2011
2011
2011
2005–2012
2005
–2012
22
46
15
36
4
23
60
20
27
62
66
66
66
69
97
67
99
19
83
87
88
95
99
99
99
99
…
61
89
…
95
…
…
90
83
80
95
95
95
95
Andorra
…
…
…
…
…
…
…
…
…
97
99
99
99
99
Angola
…
…
68 k
47
49 k
…
…
70
38
41
88
86
86
86
Antigua and Barbuda
…
…
100 k
100
100 k
…
…
…
89
95
99
99
99
99
25
99
23
…
…
93
91
93
93
93
93
Argentina
…
79
91 l
Armenia
19
55
99
93
100
13
92
…
…
92
97
95
95
95
Australia
…
72
97 m
91 m,n
99 o
32
…
…
86
91
94
92
92
92
Austria
…
…
…
…
99 o
29
…
…
60
75
76
83
83
83
Azerbaijan
15
51
77
45
89
5
66
…
…
67
67
74
48
38
Bahamas
…
…
98 k
86
99 k
…
…
92
86
93
90
98
95
98
Bahrain
…
…
100
100
97 o
27
…
94
87
98
99
99
99
99
Bangladesh
12
61
50
26
31
17
27
94
65
72
96
96
96
96
Barbados
…
…
100 k
89
100 k
…
…
…
87
94
93
91
91
91
Belarus
…
73
99
…
100
23
…
…
…
98
99
98
98
21
Belgium
…
…
…
…
99 q
20
…
…
85
82
95
98
97
98
Belize
…
34
99 l
…
94 o
…
…
88
86
96
98
95
95
95
Benin
27
17
86
61
84
4
66
92
79
70
72
85
85
85
Bhutan
12
66
74
77
58
12
…
89
93
78
95
95
95
…
Bolivia (Plurinational State of)
20
61
86
72
71
19
28
74
53
84
84
82
82
82
Bosnia and Herzegovina
…
36
99
…
100
15
…
…
…
80
89
88
88
85
Botswana
…
53
94
73
99 k
…
…
92
87
91
94
96
93
96
Brazil
6
80
97 l
90
99 o
52
…
92
78
99
97
96
96
97
100
10 k
…
…
95
99
99
91
97
93
96
Brunei Darussalam
…
…
100 l
Bulgaria
…
…
…
…
99 k
31
…
…
99
89
95
95
96
95
Burkina Faso
…
16
95
34
67
2
72
88
79
59
63
91
91
91
Burundi
…
22
99
33
60
4
30
80
74
76
92
96
96
96
Cambodia
24
51
89
59
71
3
70
91
34
65
93
94
94
94
Cameroon
…
23
85 k
…
64 k
…
…
75
56
49
76
66
66
66
Canada
…
…
100 l
99
99 o
28
…
…
89
96
98
95
70
95
Cape Verde
17
61
95 l
72
76
11
26
92
79
86
96
90
90
90
Central African Republic
…
19
57
…
41
…
…
80
82
36
62
54
54
54
Chad
…
…
43
23
17
2
…
60
32
28
28
22
22
22
Chile
…
64
…
…
100 o
37 s
…
…
97
97
91
94
94
94
China
…
85
94 l
…
96
27
…
…
98
84
99
99
99
…
Colombia
8
79
97
89
99
43
3t
79
82
80
88
85
85
85
Comoros
…
…
…
…
…
…
…
85
87
70
72
83
83
83
Congo
20
45
93 k
75
94 k
3
24 t
83
75
34
90
90
90
90
Cook Islands
…
…
100 l
…
100 k
…
…
…
67
76
89
93
93
93
Costa Rica
…
82
99 l
97
95
21 u
…
…
90
82
83
85
84
81
Côte d'Ivoire
…
13
91 k
45
59 k
6
…
82
56
68
49
62
62
62
Croatia
…
…
…
…
100
19
…
…
…
93
96
96
97
96
Cuba
…
73
100 k
100
100 o
…
…
…
94
94
99
96
96
96
Cyprus
…
…
99 l
…
98 o
51
…
…
77
86
87
99
96
96
Czech Republic
…
…
98 l
95
100 o
24
…
…
…
98
98
99
99
99
Democratic People's Republic of Korea
…
…
100
94
100
13
…
93
98
78
99
94
94
…
Democratic Republic of the Congo
24
18
89
44
80
7
80
70
38
46
71
70
70
70
Denmark
…
…
…
…
99 o
21
…
…
84
99
87
91
…
91
96
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
2005–2011
2005–11
2005–2011 2005–2012
2011
2011
2000
2011
Treatment-success
rate for
smear-positive
tuberculosis j
(%)
2000
Member State
2010
…
…
…
…
4
…
…
6
16
46
85
90
Afghanistan
…
70
60
68
…
…
…
…
87
100
…
91
Albania
…
53
59
27
…
…
…
…
70
67
87
89
Algeria
…
…
…
…
…
…
…
…
110
59
50
…
Andorra
…
…
…
…
26
28
16
36
46
78
68
48
Angola
…
…
…
…
…
…
…
…
110
97
100
33
Antigua and Barbuda
…
…
…
…
…
…
…
79
79
90
47
48
Argentina
…
…
…
90
…
…
…
22
71
74
87
72
Armenia
…
…
…
…
…
…
…
…
90
90
72
80
Australia
…
…
…
…
…
…
…
…
91
130
73
65
Austria
9
33
…
31
…
…
…
28
9
62
90
77
Azerbaijan
…
…
…
…
…
…
…
…
110
90
…
68
Bahamas
…
…
…
…
…
…
…
…
110
95
73
96
Bahrain
84 p
57
…
81
…
…
…
31
26
45
81
92
Bangladesh
…
…
…
…
…
…
…
…
49
…
…
100
Barbados
…
90
67
85
…
…
…
…
81
70
…
66
Belarus
…
…
…
…
…
…
…
…
92
…
66
…
Belgium
65
82
71
55
…
…
…
62
110
58
78
0
Belize
61
36
…
30
20
38
30
61
48
67
78
91
Benin
…
74
49
81
…
…
…
24
50
87
90
90
Bhutan
25
51
64
44
…
…
…
15
66
64
79
88
Bolivia (Plurinational State of)
…
91
73
65
…
…
…
…
110
74
94
…
Bosnia and Herzegovina
…
…
…
…
…
…
94
>95
58
71
77
81
Botswana
…
50
0
51
…
…
…
71
74
91
71
74
Brazil
…
…
…
…
…
…
…
…
110
81
63
81
Brunei Darussalam
…
…
…
…
…
…
…
25
72
83
…
86
Bulgaria
63
56
47
24
47
35
46
57
27
55
60
77
Burkina Faso
81
55
43
41
44
17
52
54
35
57
80
92
Burundi
71
64
39
34
4
0
…
>95
26
64
91
94
Cambodia
…
30
…
22
13
21
53
41
11
50
77
78
Cameroon
…
…
…
…
…
…
…
…
85
89
35
76
Canada
…
51 r
…
100
…
…
…
46
…
52
64
…
Cape Verde
60
32
39
34
15
32
48
22
…
31
58
68
Central African Republic
98
26
31
48
…
36
11
34
…
60
…
68
Chad
…
…
…
…
…
…
…
66
75
79
82
71
Chile
…
…
…
…
…
…
…
…
33
89
93
96
China
…
65
…
61
…
…
…
46
68
73
80
79
Colombia
…
…
…
…
…
…
…
19
55
45
93
91
Comoros
69
48
…
27
6
25
6
44
83
68
69
77
Congo
…
…
…
…
…
…
…
…
69
82
…
…
Cook Islands
…
…
…
…
…
…
…
…
43
88
57
87
Costa Rica
55
35
19
33
6
18
68
41
25
59
57
77
Côte d'Ivoire
…
…
…
…
…
…
…
…
85
82
…
75
Croatia
Cuba
…
97
70
53
…
…
…
>95
83
77
93
89
…
…
…
…
…
…
…
…
79
…
…
…
Cyprus
…
…
…
…
…
…
…
…
84
…
70
…
Czech Republic
98
80
88
92
…
…
…
…
43
110
82
90
Democratic People's Republic of Korea
82
40
42
53 v
6
39
…
…
38
50
78
90
Democratic Republic of the Congo
…
…
…
…
…
…
…
…
98
…
86
…
Denmark
97
Table 4
MDG 6
Children
Children aged < 5 years
Pregnant AntiretCase-detection
aged 6–59
(%)
women
roviral
rate for all forms of
months who
with HIV therapy
tuberculosis i
MDG 6
received
receiving
coverage
(%)
With ARI
With
SleepWith fever
With ARI
vitamin A
antiretro- among
symptoms
diarrhoea
ing
under
who
symptoms
supplemenvirals to
people
receiving receiving insecticide- received
taken to
tation e
prevent with ade
antibiotics
ORT
treated
treatment
a
health
(%)
MTCT h vanced HIV
(ORS and/or
nets f
with any
facility e
infection h
(%)
e
g
RHF)
antimalarial
(%)
4. Health service coverage
Member State
Unmet
need for
family
planninga
(%)
Contraceptive
prevalence a
(%)
MDG 5
Antenatal care
coverage b
(%)
Births
Births Postnatal Neonates
attended
care visit protected
by
by skilled caewithin
at birth
health sarean two days against
person- section b of child- neonatal
nel b
birth b tetanus c
(%)
(%)
(%)
(%)
Immunization coverage
among 1-year-olds d
(%)
MDG 4
At least At least
1 visit 4 visits
2005
–2012
2005
–2012
2005–2012
Measles
2005
–2012
2005
–2011
2005
–2011
2011
1990
2000
2011
DTP3
HepB3
Hib3
2011
2011
2011
Djibouti
…
18
81
…
78
…
…
79
85
50
84
87
87
87
Dominica
…
…
100
…
100 k
…
…
…
88
99
99
98
98
98
Dominican Republic
11
73
96
95
95
39
82
90
70
84
79
84
80
71
Ecuador
…
…
84 k
…
89
…
…
85
60
99
98
99
98
99
Egypt
12
60
74
66
79
28
65
86
86
98
96
96
96
…
El Salvador
…
73
94 l
78 n
85 o
25
…
88
98
97
89
89
90
90
Equatorial Guinea
…
…
…
…
…
…
…
75
88
51
51
33
…
…
Eritrea
…
…
…
…
…
…
…
93
…
76
99
99
99
99
Estonia
…
…
95 w
97
99 o
20
…
…
…
93
94
93
94
93
Ethiopia
25
29
34
19
10
2
7
88
38
33
57
51
51
51
Fiji
…
…
100 l
…
100 k
…
…
94
84
81
94
99
99
99
Finland
…
…
…
…
99 o
16
…
…
97
96
97
99
…
99
99
98 o
21
…
…
71
84
89
99
65
97
45
France
2
77
100 l
Gabon
…
…
…
…
…
…
…
75
76
55
55
45
45
Gambia
…
…
97
72
56
3
…
91
86
89
91
96
96
96
Georgia
16
47
98 k
90
97 k
24
73
…
…
73
94
94
92
92
Germany
…
…
…
…
99 o
32
…
…
75
92
99
99
93
93
Ghana
36
24
87
78
55
7
68
88
61
90
91
91
91
91
Greece
…
…
…
…
…
…
…
…
76
89
99
99
95
83
Grenada
…
…
100 k
…
100 k
…
…
…
85
92
95
94
94
94
Guatemala
…
…
93 l
…
51
16
26 x
85
68
86
87
85
85
85
50
46 k
2
41 x
80
35
42
58
59
59
59
76
Guinea
22
9
88 k
Guinea-Bissau
…
14
93 k
70
44 k
…
…
80
53
71
61
76
76
Guyana
29
43
86
79
87
13
79
90
73
86
98
93
93
93
Haiti
37
32
85 k
54
26 k
3
30
70
31
55
59
59
…
…
Honduras
17
65
84
81
66
13
66
94
90
98
99
98
98
98
Hungary
…
…
…
…
99 k
33
…
…
99
99
99
99
…
99
Iceland
…
…
…
…
…
17
…
…
99
91
93
96
…
96
India
21
55
75 l
50 y
58 o
8
48
87
56
55
74
72
47
…
Indonesia
13
61
93 k
82
80 k
7
70
85
58
74
89
63
63
…
Iran (Islamic Republic of)
…
…
98
94
97
40
…
95
85
99
99
99
99
…
Iraq
…
51
84
…
89
21
…
85
75
87
76
77
76
…
Ireland
…
65
100
…
100 o
26
…
…
78
79
92
95
95
95
Israel
…
…
…
…
…
20
…
…
91
97
98
94
99
93
Italy
…
…
98 l
84
100 o
38
…
…
43
74
90
96
96
96
Jamaica
…
…
99 l
87
98
15
…
80
74
88
88
99
99
99
Japan
…
54
…
…
100 o
23
…
…
73
96
94
98
…
…
Jordan
13
59
99
94
99
19
40
90
87
94
98
98
98
98
Kazakhstan
…
51
98
…
99 k
14
…
…
…
99
99
99
99
95
Kenya
26
46
92
47
44
6
42
73
78
78
87
88
88
88
Kiribati
…
…
100 l
…
98 k
…
…
…
75
80
90
99
95
95
Kuwait
…
…
…
…
99 o
…
…
95
66
99
99
99
99
99
Kyrgyzstan
…
48
97
…
98 k
7
…
…
…
98
97
96
96
96
Lao People's Democratic Republic
27
38
71
…
37
2
…
80
32
42
69
78
78
78
Latvia
…
…
97 l
…z
99 o
24
…
…
…
97
99
94
91
93
Lebanon
…
…
…
…
…
…
…
…
61
71
79
81
81
81
Lesotho
23
47
92
70
62
7
48
83
80
74
85
83
83
83
Liberia
36
11
79
66
46
4
60
91
…
63
40
49
49
49
Libya
…
…
93
…
98 o
…
…
…
89
93
98
98
98
98
98
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
2005–2011
2005–11
2005–2011 2005–2012
2011
2011
2000
2011
Treatment-success
rate for
smear-positive
tuberculosis j
(%)
2000
Member State
2010
18
…
43
71
1
1
14
27
88
66
62
80
Djibouti
…
…
…
…
…
…
…
…
…
23
…
100
Dominica
29
67
57
46
…
…
…
80
62
66
70
80
Dominican Republic
…
…
…
…
…
…
…
68
53
56
…
79
Ecuador
12
73
58
28
…
…
…
21
62
63
87
86
Egypt
…
…
…
…
…
…
…
72
68
110
79
91
El Salvador
…
…
…
…
42
…
…
…
…
61
…
70
Equatorial Guinea
…
…
…
…
…
13
…
49
120
58
76
84
Eritrea
…
…
…
…
…
…
…
…
93
89
70
68
Estonia
53
27
7
31
33
10
24
56
33
72
80
83
Ethiopia
…
…
…
…
…
…
…
87
33
92
85
67
Fiji
…
…
…
…
…
…
…
…
87
78
…
74
Finland
…
…
…
…
…
…
…
…
83
…
…
…
France
…
…
…
…
…
…
48
53
…
64
…
63
Gabon
80
69
61
48
49
30
…
54
…
45
…
88
Gambia
…
74
56
50
…
…
…
76
36
84
63
76
Georgia
…
…
…
…
…
…
…
…
91
96
77
77
Germany
56
60
24
52
38
52
75
47
37
78
50
86
Ghana
…
…
…
…
…
…
…
…
82
…
…
…
Greece
…
…
…
…
…
…
…
…
0
47
…
75
Grenada
…
…
…
…
…
…
…
56
38
34
86
83
Guatemala
69
42
…
37
…
74
40
58
28
61
68
80
Guinea
59
4
42
46
39
51
32
56
54
56
…
73
Guinea-Bissau
55
65
18
59
24
6
…
82
55
85
55
71
Guyana
29
32
5
44
…
5
77
58
44
64
71
82
Haiti
49
54
54
56
…
1
…
41
89
96
86
85
Honduras
…
…
…
…
…
…
…
…
81
…
64
…
Hungary
…
…
…
…
…
…
…
…
100
51
100
88
Iceland
16
67
13
26
…
8
…
…
49
59
34
88
India
69
66 r
…
46
3
1
…
24
19
70
87
90
Indonesia
…
…
…
…
…
…
…
7
71
71
85
83
Iran (Islamic Republic of)
2
82
74
31
…
…
…
…
81
60
92
89
Iraq
…
…
…
…
…
…
…
…
85
83
84
62
Ireland
…
…
…
…
…
…
…
…
88
94
83
76
Israel
…
…
…
…
…
…
…
…
71
96
74
…
Italy
…
75
52
…
…
…
…
60
75
58
45
47
Jamaica
…
…
…
…
…
…
…
…
89
86
45
52
Japan
9
75
79
25
…
…
…
…
79
83
90
87
Jordan
…
81
87
65
…
…
…
27
49
87
79
61
Kazakhstan
30
56
50
72
46
23
67
72
72
81
80
87
Kenya
…
…
…
…
…
…
…
…
81
95
91
93
Kiribati
…
…
…
…
…
…
…
…
80
66
69
87
Kuwait
47
62
45
20
…
…
…
23
50
80
82
…
Kyrgyzstan
18
32
52
51
…
8
…
53
13
32
77
91
Lao People's Democratic Republic
…
…
…
…
…
…
…
18
69
93
72
76
Latvia
…
…
…
…
…
…
…
36
88
77
92
80
Lebanon
34
67
…
71
…
…
62
58
90
82
…
69
Lesotho
43
62
49
58
36
57
59
38
22
64
80
…
Liberia
…
…
…
…
…
…
…
…
64
59
…
64
Libya
99
Table 4
MDG 6
Children
Children aged < 5 years
Pregnant AntiretCase-detection
aged 6–59
(%)
women
roviral
rate for all forms of
months who
with HIV therapy
tuberculosis i
MDG 6
received
receiving
coverage
(%)
With ARI
With
SleepWith fever
With ARI
vitamin A
antiretro- among
symptoms
diarrhoea
ing
under
who
symptoms
supplemenvirals to
people
receiving receiving insecticide- received
taken to
tation e
prevent with ade
antibiotics
ORT
treated
treatment
a
health
(%)
MTCT h vanced HIV
(ORS and/or
nets f
with any
facility e
infection h
(%)
e
g
RHF)
antimalarial
(%)
4. Health service coverage
Member State
Unmet
need for
family
planninga
(%)
Contraceptive
prevalence a
(%)
MDG 5
Antenatal care
coverage b
(%)
Births
Births Postnatal Neonates
attended
care visit protected
by
by skilled caewithin
at birth
health sarean two days against
person- section b of child- neonatal
nel b
birth b tetanus c
(%)
(%)
(%)
(%)
Immunization coverage
among 1-year-olds d
(%)
MDG 4
At least At least
1 visit 4 visits
2005
–2012
2005
–2012
Lithuania
…
Luxembourg
…
Madagascar
Measles
DTP3
HepB3
Hib3
2011
2011
2011
2011
97
94
92
95
92
91
96
99
95
99
47
56
70
89
89
89
87
81
73
96
97
97
97
90
70
88
95
99
97
99
96
96
…
72
72
72
96
82
96
97
94
97
92
67
75
75
75
84
99
98
98
98
75
96
98
97
98
97
81
85
92
84
83
72
2005–2012
2005
–2012
2005
–2011
2005
–2011
2011
1990
2000
…
…
…
…
25
…
…
…
…
…
…
…
31
…
…
80
19
40
86
49
44
2
46
78
Malawi
26
46
95
46
71
5
43
Malaysia
…
…
83 l
…
99 k
16 aa
…
Maldives
29
35
99
85
95
32
67
95
96
99
96
Mali
28
8
70
35
49
2
22
89
43
49
56
Malta
…
…
…
…
100 o
32
…
…
80
74
84
Marshall Islands
8
45
81
77
86
9
64
…
52
94
Mauritania
…
9
72
…
57
…
…
80
38
62
Mauritius
…
…
…
…
100 o
44 ab
…
95
76
Mexico
12
71
96 k
…z
95 k
39
55 ac
88
11
…
…
Micronesia (Federated States of)
…
…
…
…
100 k
Monaco
…
…
…
…
…
…
…
…
99
99
99
99
99
99
Mongolia
14
55
99 k
81
99 k
21
…
…
92
92
98
99
99
99
Montenegro
…
39
97
…
100 o
19
…
…
…
…
91
95
91
90
Morocco
…
…
77
64
74
16
…
89
79
93
95
99
98
99
Mozambique
…
12
91 k
…
54 k
…
…
83
59
71
82
76
76
76
Myanmar
…
46
83 k
43 ae
71 k
…
…
93
68
84
99
99
52
…
Namibia
21
55
95
70
81
13
65
83
57
69
74
82
82
82
Nauru
…
36
94 k
40
97 k
8
66
…
…
7
99
99
99
99
Nepal
27
50
58
50
36
5
45
82
57
71
88
92
92
92
Netherlands
…
69
…
…
…
15
…
…
94
96
96
97
…
97
New Zealand
…
…
…
…
96 o
24
…
…
90
85
93
95
95
94
Nicaragua
8
72
90
78
74 k
20
7 af
81
82
86
99
98
98
98
Niger
16
11
46
15
18
1
12
84
25
37
76
75
75
75
Nigeria
19
14
53
45
34
2
38
60
54
33
71
47
50
…
Niue
…
…
100 l
…
100 k
…
…
…
99
99
99
98
98
99
Norway
…
88
…
…
99 o
17
…
…
87
88
93
94
…
95
Oman
…
…
99 l
85
99 k
16 ag
…
91
98
99
99
99
99
99
Pakistan
25
27
64 l
28
45
7
39
75
50
59
80
80
80
80
Palau
…
…
90 l
81
100 k
…
…
…
98
83
85
84
91
85
Panama
…
52
96
…
89
20
72 af
…
73
97
97
87
87
87
Papua New Guinea
…
36
65 l
29
43 o
…
…
61
67
62
60
61
62
61
Paraguay
5
79
96 l
91
85 o
33
77 ah
85
69
92
93
90
90
90
Peru
7
74
95
94
85
23
92
85
64
97
96
91
91
91
Philippines
22
49
91
78
62
10
77
76
85
78
79
80
76
14
Poland
…
…
…
…
100 o
34
…
…
95
97
98
99
98
99
Portugal
…
87
…
…
…
36
…
…
85
87
96
98
97
97
Qatar
…
…
91 k
85
100 k
…
…
…
79
91
99
93
93
93
Republic of Korea
…
80
100 l
…z
100 o
37
…
…
93
95
99
99
99
…
Republic of Moldova
11
68
98
89
100 k
15
89
…
…
89
91
93
96
78
Romania
…
…
…
…
99 k
30
…
…
92
98
93
89
96
89
Russian Federation
…
80
…
…
100 k
18
…
…
…
97
98
97
97
…
Rwanda
19
52
98
35
69
7
18
85
83
74
95
97
97
97
Saint Kitts and Nevis
…
…
100 k
…
100 k
…
…
…
99
99
99
97
98
98
Saint Lucia
…
…
99 k
99
99 k
…
…
…
82
88
95
97
97
97
Saint Vincent and the Grenadines
…
…
100 k
…
99 k
…
…
…
96
95
99
95
96
96
Samoa
48
29
93 k
58
81 k
13
66
…
89
93
67
91
91
91
100
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
2005–2011
2005–11
2005–2011 2005–2012
2011
2011
2000
2011
Treatment-success
rate for
smear-positive
tuberculosis j
(%)
2000
2010
Member State
…
…
…
…
…
…
…
25
85
90
73
68
Lithuania
…
…
…
…
…
…
…
…
97
410
…
0
Luxembourg
72
42
…
29
75
20
…
3
…
51
70
82
Madagascar
86
70
…
69
39
43
53
67
45
66
73
87
Malawi
…
…
…
…
…
…
…
37
68
85
78
80
Malaysia
48
74
…
63
…
…
…
22
65
81
97
82
Maldives
72
38
…
24
70
32
…
53
48
56
…
76
Mali
…
…
…
…
…
…
…
…
85
58
100
20
Malta
…
…
…
…
…
…
…
…
25
47
91
80
Marshall Islands
56
45
24
31
…
21
…
21
42
15
…
69
Mauritania
…
…
…
…
…
…
…
37
55
41
93
90
Mauritius
…
…
…
…
…
…
…
84
60
76
76
87
Mexico
…
…
…
…
…
…
…
…
30
66
93
97
Micronesia (Federated States of)
…
…
…
…
…
…
…
…
0
…
…
…
Monaco
61
87
72
56 ad
…
…
…
27
51
68
87
86
Mongolia
…
89
57
98
…
…
…
…
…
100
…
87
Montenegro
…
…
…
…
…
…
…
37
86
86
89
85
Morocco
…
…
…
…
7
30
51
46
23
34
75
85
Mozambique
56
69
34
66
…
…
…
32
17
74
82
86
Myanmar
52
72
…
69
10
20
85
>95
40
64
56
85
Namibia
…
…
…
…
…
…
…
…
130
150
25
67
Nauru
87
50
…
31
…
1
…
24
74
71
84
90
Nepal
…
…
…
…
…
…
…
…
80
86
76
78
Netherlands
…
…
…
…
…
…
…
…
80
91
30
74
New Zealand
…
…
…
…
…
…
…
65
70
110
82
85
Nicaragua
70
47
…
26
7
33
…
34
23
59
65
82
Niger
26
45
23
31
29
49
18
30
12
45
79
84
Nigeria
…
…
…
…
…
…
…
…
0
170
…
…
Niue
…
…
…
…
…
…
…
…
80
…
70
…
Norway
…
…
…
…
…
…
…
…
98
87
93
97
Oman
…
…
…
…
0
3
…
10
3
64
74
91
Pakistan
…
…
…
…
…
…
…
…
…
38
…
88
Palau
…
…
…
…
…
…
…
49
83
91
60
80
Panama
…
…
…
…
…
…
20
68
56
61
63
58
Papua New Guinea
…
…
…
…
…
…
…
69
74
79
66
78
Paraguay
9
68
51
40
…
…
…
60
81
110
90
68
Peru
76
50
42
59
…
0
…
51
47
76
88
91
Philippines
…
…
…
…
…
…
…
…
84
91
72
65
Poland
…
…
…
…
…
…
…
…
81
…
79
…
Portugal
…
…
…
…
…
…
…
…
91
80
66
67
Qatar
98
80
88
92 ai
…
…
…
…
60
88
83
89
Republic of Korea
…
60
…
35
…
…
…
29
49
74
63
57
Republic of Moldova
…
…
…
…
…
…
…
74
68
78
70
84
Romania
…
…
…
…
…
…
…
…
75
81
68
53
Russian Federation
93
50
…
35
69
11
56
82
23
64
61
88
Rwanda
…
…
…
…
…
…
…
…
0
34
…
100
Saint Kitts and Nevis
…
…
…
…
…
…
…
…
49
78
100
89
Saint Lucia
…
…
…
…
…
…
…
…
57
64
100
0
Saint Vincent and the Grenadines
…
87
54
87
…
…
…
…
100
110
92
100
101
Samoa
Table 4
MDG 6
Children
Children aged < 5 years
Pregnant AntiretCase-detection
aged 6–59
(%)
women
roviral
rate for all forms of
months who
with HIV therapy
tuberculosis i
MDG 6
received
receiving
coverage
(%)
With ARI
With
SleepWith fever
With ARI
vitamin A
antiretro- among
symptoms
diarrhoea
ing
under
who
symptoms
supplemenvirals to
people
receiving receiving insecticide- received
taken to
tation e
prevent with ade
antibiotics
ORT
treated
treatment
a
health
(%)
MTCT h vanced HIV
(ORS and/or
nets f
with any
facility e
infection h
(%)
e
g
RHF)
antimalarial
(%)
4. Health service coverage
Member State
Unmet
need for
family
planninga
(%)
Contraceptive
prevalence a
(%)
MDG 5
Antenatal care
coverage b
(%)
Births
Births Postnatal Neonates
attended
care visit protected
by
by skilled caewithin
at birth
health sarean two days against
person- section b of child- neonatal
nel b
birth b tetanus c
(%)
(%)
(%)
(%)
Immunization coverage
among 1-year-olds d
(%)
MDG 4
At least At least
1 visit 4 visits
2005
–2012
2005
–2012
San Marino
…
Sao Tome and Principe
38
Saudi Arabia
Measles
DTP3
HepB3
Hib3
2011
2011
2011
2011
74
83
86
86
85
69
91
96
96
96
88
94
98
98
98
98
88
51
48
82
83
83
83
…
83
89
95
91
89
91
…
86
97
99
99
99
99
58
85
…
37
80
84
84
84
…
…
84
96
95
96
96
…
2005–2012
2005
–2012
2005
–2011
2005
–2011
2011
1990
2000
…
…
…
…
35
…
…
…
38
98
72
81
5
37
…
71
…
24
98 l
…
100 k
22 ag
…
…
Senegal
32
13
93
50
65 k
6
68
Serbia
7
61
99
94
100
25
…
Seychelles
…
…
…
…
99 k
23
…
Sierra Leone
28
8
91
75
61 k
5
…
100 o
…
Singapore
…
…
100 l
Slovakia
…
…
…
…
100 k
29
…
…
…
98
98
99
99
99
Slovenia
…
…
…
…
100 o
18
…
…
…
95
95
96
…
96
Solomon Islands
11
35
74
65
70
6
51
85
70
85
73
88
88
88
Somalia
…
15
22
6
9
…
…
64
30
24
46
41
…
…
South Africa
…
…
…
…
…
…
…
77
79
72
78
72
76
72
South Sudan
…
4
…
…
…
…
…
44
…
…
64
46
…
…
Spain
…
66
…
…
…
25
…
…
99
94
95
97
97
97
Sri Lanka
7
68
99
93
99
24
71
95
80
99
99
99
99
99
Sudan
…
9
…
…
…
…
…
74
…
…
87
93
93
93
Sudan (former)
…
…
…
…
…
…
…
…
57
58
…
…
…
…
Suriname
…
46
89
…
87
…
…
93
65
84
85
86
86
86
Swaziland
13
65
97
77
82
12
22
86
85
92
98
91
91
91
Sweden
…
…
…
…
…
17
…
…
96
91
96
98
…
98
Switzerland
…
…
…
…
…
33
…
…
90
81
92
95
…
95
Syrian Arab Republic
…
58
88 k
…
96 k
…
27
94
87
84
80
72
66
72
Tajikistan
…
37
89 k
49
88 k
3
…
…
…
88
98
96
96
96
80
99
…
…
91
80
94
98
99
98
…
Thailand
3
80
99 l
The former Yugoslav Republic of Macedonia
…
…
94 l
…
100
22
…
…
…
97
98
95
90
89
Timor-Leste
32
22
84
55
30
2
25
81
…
…
62
67
67
…
Togo
31
15
51
55
44
9
…
81
73
58
67
81
81
81
Tonga
…
…
99 l
86
99 k
11
…
…
86
95
99
99
99
99
Trinidad and Tobago
…
43
95
…
97
…
…
…
70
90
92
90
90
90
Tunisia
…
60
96
68
95
21
…
96
93
95
96
98
98
43
Turkey
6
73
92
74
91
37
80
90
78
87
97
97
96
97
Turkmenistan
…
…
99 l
…
100 k
4
…
…
…
96
99
97
97
71
Tuvalu
24
31
93
67
93
7
51
…
95
81
98
96
96
96
Uganda
38
30
95
48
58
5
33
85
52
57
75
82
82
82
Ukraine
10
67
99
75 ae
99
10
87
…
…
99
67
50
21
26
United Arab Emirates
…
…
100 l
…
100 k
21
…
…
80
94
94
94
94
94
United Kingdom
…
84
…
…
…
… aj
…
…
87
88
90
95
…
95
United Republic of Tanzania
25
34
88
43
49
5
31
88
80
78
93
90
90
90
United States of America
7
79
…
97
99
33
…
…
90
91
90
94
91
88
Uruguay
…
…
96 l
90
100
33
…
…
97
89
95
95
95
95
Uzbekistan
…
65
99
…
100
9
…
…
…
99
99
99
99
99
Vanuatu
…
38
84
…
74
…
…
75
66
61
52
68
59
…
Venezuela (Bolivarian Republic of)
…
…
…
47
98 k
…
…
50
61
84
86
78
78
78
Viet Nam
4
78
94
60
92
20
…
87
88
97
96
95
95
95
Yemen
…
28
47
…
36
7
…
66
69
71
71
81
81
81
Zambia
27
41
94
60
47
3
39
81
90
85
83
81
81
81
Zimbabwe
16
59
90
65
66
5
27
66
87
75
92
99
93
93
102
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
2005–2011
2005–11
2005–2011 2005–2012
2011
2011
2000
2011
Treatment-success
rate for
smear-positive
tuberculosis j
(%)
2000
2010
Member State
…
…
…
…
…
…
…
…
240
…
0
…
48
75
60
57
56
8
…
52
60
86
78
78
San Marino
Sao Tome and Principe
…
…
…
…
…
…
…
…
89
80
73
62
Saudi Arabia
…
50
…
27
34
8
…
56
58
63
52
85
Senegal
…
90
82
73
…
…
…
65
…
130
…
86
Serbia
…
…
…
…
…
…
…
…
70
80
82
100
Seychelles
91
74
58
84
25
62
74
41
24
29
77
86
Sierra Leone
…
…
…
…
…
…
…
…
85
86
71
80
Singapore
…
…
…
…
…
…
…
…
83
89
82
84
Slovakia
…
…
…
…
…
…
…
…
83
96
84
85
Slovenia
…
…
…
…
…
19
…
…
40
70
81
87
Solomon Islands
24
13
32
21
9
8
…
7
27
43
83
89
Somalia
…
…
…
…
…
…
>95
66
59
69
63
79
South Africa
…
…
…
…
…
51
…
6
…
48
…
75
South Sudan
…
…
…
…
…
…
…
…
88
84
…
70
Spain
…
…
…
…
…
0
…
21
68
70
79
86
Sri Lanka
…
56
66
52 ad
16
65
…
9
50
48
75
80
Sudan
…
…
…
…
…
…
…
…
…
…
…
…
Sudan (former)
…
2
…
44
…
…
…
53
22
53
68
60
Suriname
81
72
24
89
1
2
>95
83
69
53
…
73
Swaziland
…
…
…
…
…
…
…
…
88
72
79
85
Sweden
…
…
…
…
…
…
…
…
56
100
…
…
Switzerland
3
77
71
68
…
…
…
…
92
87
78
89
Syrian Arab Republic
47
64
41
58
1
2
…
22
20
47
77
80
Tajikistan
…
84
65
68
…
…
…
71
32
76
69
85
Thailand
…
93
74
81
…
…
…
…
77
83
86
90
The former Yugoslav Republic of Macedonia
51
71
45
78
41
6
…
…
…
76
…
88
Timor-Leste
…
…
41
24 ad
35
34
61
42
38
64
…
84
Togo
…
…
…
…
…
…
…
…
88
55
93
83
Tonga
…
…
…
…
…
…
…
…
92
78
68
76
Trinidad and Tobago
…
59
…
74
…
…
…
67
87
95
91
85
Tunisia
…
…
…
…
…
…
…
50
78
85
73
91
Turkey
…
…
…
…
…
…
…
…
42
…
81
…
Turkmenistan
…
…
…
…
…
…
…
…
48
53
86
100
Tuvalu
57
79
47
48
42
65
50
54
29
69
63
71
Uganda
…
…
…
…
…
…
…
22
63
86
…
60
Ukraine
…
…
…
…
…
…
…
…
32
36
74
69
United Arab Emirates
…
…
…
…
…
…
…
…
89
89
…
81
United Kingdom
61
31
…
59
62
59
74
40
68
76
78
90
United Republic of Tanzania
…
…
…
…
…
…
…
…
86
86
83
64
United States of America
…
…
…
…
…
…
…
41
80
110
85
85
Uruguay
72
68
56
79
…
…
…
…
22
52
80
81
Uzbekistan
…
63
48
54
…
53
…
…
75
67
88
80
Vanuatu
…
…
…
…
…
…
…
79
77
64
76
83
Venezuela (Bolivarian Republic of)
83
73
68
66
5
1
…
58
56
56
92
92
Viet Nam
…
…
38
87
8
…
…
8
67
79
72
87
Yemen
63
68
47
67
28
34
86
82
68
73
67
86
Zambia
66
48
31
63
10
2
54
77
56
50
69
81
Zimbabwe
103
Table 4
MDG 6
Children
Children aged < 5 years
Pregnant AntiretCase-detection
aged 6–59
(%)
women
roviral
rate for all forms of
months who
with HIV therapy
tuberculosis i
MDG 6
received
receiving
coverage
(%)
With ARI
With
SleepWith fever
With ARI
vitamin A
antiretro- among
symptoms
diarrhoea
ing
under
who
symptoms
supplemenvirals to
people
receiving receiving insecticide- received
taken to
tation e
prevent with ade
antibiotics
ORT
treated
treatment
a
health
(%)
MTCT h vanced HIV
(ORS and/or
nets f
with any
facility e
infection h
(%)
e
g
RHF)
antimalarial
(%)
4. Health service coverage
Member State
Unmet
need for
family
planninga
(%)
Contraceptive
prevalence a
(%)
MDG 5
Antenatal care
coverage b
(%)
Births
Births Postnatal Neonates
attended
care visit protected
by
by skilled caewithin
at birth
health sarean two days against
person- section b of child- neonatal
nel b
birth b tetanus c
(%)
(%)
(%)
(%)
Immunization coverage
among 1-year-olds d
(%)
MDG 4
At least At least
1 visit 4 visits
2005
–2012
2005
–2012
2005–2012
Measles
2005
–2012
2005
–2011
2005
–2011
2011
1990
DTP3
HepB3
Hib3
2000
2011
2011
2011
2011
Ranges of country values
Minimum
2
4
22
6
9
1
3
44
20
7
28
22
21
14
Median
19
50
94
72
96
17
51
85
80
87
93
94
93
93
Maximum
48
88
100
100
100
52
92
96
99
99
99
99
99
99
African Region
25
27
74
43
49
4
45
77
58
54
75
71
71
61
Region of the Americas
9
74
95
86
94
36
42
85
80
92
92
92
90
90
South-East Asia Region
14
59
76
52
59
9
49
88
59
61
79
75
56
11
European Region
10
71
96
80
98
23
81
90
80
91
94
94
77
76
Eastern Mediterranean Region
20
45
70
44
63
16
42
78
66
72
83
85
83
57
Western Pacific Region
6
80
93
70
92
24
76
81
94
85
96
96
91
14
Low income
23
38
72
37
47
6
42
82
56
59
77
79
76
73
Lower middle income
16
53
76
53
60
9
50
81
61
62
78
73
62
23
Upper middle income
6
79
94
80
97
31
59
86
89
87
96
96
96
39
High income
…
70
99
96
99
30
…
90
83
91
93
96
72
80
Global
12
63
81
55
70
16
49
82
72
72
84
83
75
43
WHO region
Income group
a.
World Contraceptive Use 2012. United Nations, Department of Economic and Social
Affairs, Population Division, 2012. WHO regional, income-group and global aggregates
refer to 2010. The methodology for the aggregates is available in World Contraceptive
Use 2012 and in the technical paper: Alkema, et al. National, regional and global levels
and trends in contraceptive prevalence and unmet need for family planning between
1990 and 2015: a systematic and comprehensive analysis (forthcoming).
b.
WHO global database on maternal health indicators, 2013 update. Geneva, World
Health Organization (http://www.who.int/gho). Antenatal care coverage only
includes visits to a skilled provider (doctor, nurse and/or midwife). Births attended
by skilled health personnel refer to doctor, nurse and/or midwife. Postnatal care was
surveyed only for the mother.
c.
Proportion of neonates protected at birth against neonatal tetanus through maternal
immunization with tetanus toxoid, based on a mathematical model taking into
account the mother’s immunization in infancy, during pregnancy and in tetanus
campaigns. WHO/UNICEF estimates of national immunization coverage. Geneva,
World Health Organization, 2012 (http://www.who.int/immunization_monitoring/
routine/immunization_coverage/en/index4.html). Estimates based on data
available up to July 2012. This indicator applies only to countries where tetanus is
recommended for girls and women and therefore WHO regional, income-group and
global aggregates relate only to these same Member States.
d.
measles vaccine in children older than 12 months of age, the indicator is calculated as
the proportion of children less than 24 months of age receiving one dose of measlescontaining vaccine. Complete coverage estimates available online at the above web site.
e.
Data compiled by WHO from Demographic and Health Surveys (DHS) and Multiple
Indicator Cluster Surveys (MICS), January 2013 (http://www.measuredhs.com and
http://www.unicef.org/statistics/index_24302.html). Vitamin A supplementation
data refer to the six months preceding the survey; data on children receiving
oral rehydration salts (ORS) and/or recommended home fluids (RHF) refer to the
two weeks preceding the survey; and data on children who were ill with a cough
accompanied by rapid breathing (ARI symptoms) and who were taken to a health
facility and/or received antibiotics refer to the two weeks preceding the survey.
f.
World Malaria Report 2012. Geneva, World Health Organization, 2012 (http://www.
who.int/malaria/publications/world_malaria_report_2012/en/index.html).
g.
State of the World’s Children 2013: Children with Disabilities. New York, UNICEF
(forthcoming).
h.
UNAIDS Report on the Global AIDS Epidemic 2012. Geneva, UNAIDS, 2012
(http://www.unaids.org/en/resources/campaigns/20121120_globalreport2012/
globalreport). WHO regional aggregates include low- and middle-income countries
only. For uncertainty ranges see the report.
i.
The case-detection rate for all forms of tuberculosis is the estimated number of
new and relapse tuberculosis cases diagnosed and treated in national tuberculosis
control programmes and notified to WHO, divided by WHO’s estimate of the number
of incident tuberculosis cases for the same year, expressed as a percentage. Global
Tuberculosis Report 2012. Geneva, World Health Organization, 2012 (http://www.
who.int/tb/publications/global_report/). For uncertainty ranges see the full report.
WHO regional, income-group and global aggregates include territories.
Measles = measles-containing vaccine (MCV); DTP3 = 3 doses of diphtheriatetanus pertussis vaccine; HepB3 = 3 doses of hepatitis B vaccine; Hib3 = 3 doses
of Haemophilus influenzae type B vaccine. WHO/UNICEF estimates of national
immunization coverage. Geneva, World Health Organization, 2012 (http://www.who.int/
immunization_monitoring/routine/immunization_coverage/en/index4.html). Estimates
based on data available up to July 2012. For countries recommending the first dose of
104
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
MDG 6
Children
Children aged < 5 years
Pregnant AntiretCase-detection
aged 6–59
(%)
women
roviral
rate for all forms of
months who
with HIV therapy
tuberculosis i
MDG 6
received
receiving
coverage
(%)
With ARI
With
SleepWith fever
With ARI
vitamin A
antiretro- among
symptoms
diarrhoea
ing
under
who
symptoms
supplemenvirals to
people
receiving receiving insecticide- received
taken to
tation e
prevent with ade
antibiotics
ORT
treated
treatment
a
health
(%)
MTCT h vanced HIV
(ORS and/or
nets f
with any
facility e
infection h
(%)
e
g
RHF)
antimalarial
(%)
2005–2011
2005–11
2005–2011 2005–2012
2011
2011
2000
2011
Treatment-success
rate for
smear-positive
tuberculosis j
(%)
2000
Member State
2010
2
5
20
1
0
6
3
0
15
0
0
Minimum
63
44
53
26
21
53
49
68
74
78
82
Median
98
97
88
100
75
74
>95
>95
240
410
100
100
Maximum
Table 4
2
59
65
48
24
42
32
…
59
57
39
61
71
82
African Region
…
…
…
…
…
…
70
68
70
84
76
75
Region of the Americas
42
83
63
68
…
…
16
46
41
62
50
88
South-East Asia Region
…
…
…
…
…
…
>95
26
58
76
75
67
European Region
15
60
59
44
…
…
6
10
25
62
81
88
Eastern Mediterranean Region
…
…
…
…
…
…
39
48
39
81
90
93
Western Pacific Region
68
46
24
44
32
…
52
56
34
59
78
87
Low income
34
61
34
46
…
…
37
43
41
62
56
88
Lower middle income
…
…
…
…
…
…
>95
63
45
81
81
86
Upper middle income
…
…
…
…
…
…
…
…
81
81
66
68
High income
50
78
…
64
…
…
57
54
41
67
69
87
Global
j.
The treatment-success rate for new pulmonary smear-positive tuberculosis cases
is the proportion of new smear-positive tuberculosis cases registered under a
national tuberculosis control programme in a given year that successfully completed
treatment – with or without bacteriological evidence of success (“cured” and
“treatment completed” respectively). Global Tuberculosis Report 2012. Geneva,
World Health Organization, 2012 (http://www.who.int/tb/publications/global_
report/). WHO regional, income-group and global aggregates include territories.
x.
No timing of postnatal visit was provided.
y.
Three or more visits.
z.
Mean number of visits reported is more than seven.
aa.
Data from public hospitals only.
ab.
Data from government and private hospitals only.
ac.
Postnatal care visit was 1–15 days postpartum.
k.
Definition of skilled personnel differs from standard definition.
ad.
l.
Skilled personnel not defined.
Continued feeding.
ae.
m.
Data only includes information from Queensland, South Australia, Australian Capital
Territory and the Northern Territory.
Six or more visits.
af.
Postnatal care visit was 0–7 days postpartum.
ag.
Deliveries in Ministry of Health institutions only.
ah.
Postnatal care visit was 0–15 days postpartum.
ai.
ORS or any other fluid.
aj.
Separate datasets for England, Wales, Scotland and Northern Ireland report figures
of 24.8, 26.0, 26.6 and 29.9 respectively.
n.
o.
p.
Five or more visits.
Institutional births.
Data refer to children aged 9–59 months.
q.
Separate surveys for Wallonie, Brussels and the Flemish region all report figures for
institutional births above 99%.
r.
Refers to ARI and/or fever.
s.
Data from the public system only.
t.
Only women who gave birth outside of a health facility.
u.
Caesarean section covered by the Costa Rican Social Security Fund – Caja
Costarricense del Seguro Social (CCSS).
v.
ORT and/or RHF and/or increased fluids.
w.
Visits to gynaecologist.
105
106
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
5. Risk factors
Table 5 presents information on indicators for certain risk factors that are associated with increased mortality and morbidity. These preventable risk factors include: unsafe water and lack of sanitation; use of solid
fuels in households; low birth weight; poor infant-feeding practices; childhood under-nutrition and overnutrition; diabetes; hypertension; obesity; harmful consumption of alcohol; use of tobacco; and unsafe sex.
One in ten babies are born preterm (born alive before 37 weeks of pregnancy) and one million die from the
complications of such births each year. More than three quarters of premature babies can be saved with
feasible and cost-effective care.
Child growth is the most widely used measure of children’s nutritional status. Included in the estimates
presented in Table 5 are the four indicators: “wasted”; “stunted”; “underweight” (which is an MDG indicator); and “overweight”. Stunting (i.e. low height-for-age) reflects the cumulative effects of under-nutrition
and infections since birth – and even before birth. Evidence of this condition indicates chronic malnutrition,
which is likely to have serious and long-lasting impacts on health. Being underweight may reflect wasting
(i.e. low weight-for-height) which indicates acute weight loss and/or stunting. Thus, it is a composite
indicator that is more difficult to interpret. Fewer data are available on the number of overweight children,
although it is known that many countries face a double burden of malnutrition (with high numbers of
underweight or stunted children) in some population groups coupled with high numbers of overweight
children in other groups.
In adults, diabetes, hypertension and being overweight or obese increase the risk of cardiovascular disease
and several types of cancer. These risks also contribute to non-fatal diseases such as arthritis and loss
of vision due to diabetic retinopathy. Once considered a problem only in high-income countries, obesity
is on the rise in low- and middle-income countries, particularly in the WHO African Region and the WHO
Region of the Americas. The prevalence of hypertension is highest in some low-income countries in Africa,
whereas public health interventions have reduced its prevalence in many high-income countries.
The prevalence of current tobacco smoking is an important predictor of the future burden of tobaccorelated diseases. Harmful use of alcohol can cause alcohol dependence, hepatic cirrhosis, cancer and
injuries.
Data on risk factors and health-related behaviours are generally drawn from household surveys. It is important to note that the reliability of these estimates depends upon the overall quality of the sampling
frames and methods used; on interviewer training, data-quality assurance procedures, and statistical data
analyses; and on the ability and willingness of respondents to provide accurate responses. Where data
from household surveys are not available, statistical techniques may be used to develop estimates.
107
Table 5
Unsafe water supplies and inadequate levels of sanitation and hygiene increase the transmission of diarrhoeal diseases (including cholera); trachoma; and hepatitis. The use of solid fuels in households is a proxy
indicator for household air pollution. Using solid fuels such as wood, charcoal and crops is associated with
increased mortality from pneumonia and other acute lower respiratory diseases among children, as well
as increased mortality from chronic obstructive pulmonary disease, lung cancer (where coal is used) and
other diseases among adults.
5. Risk factors
Member State
MDG 7
Population using
Population using
improved sanitation a
improved
a
drinking-water sources
(%)
(%)
1990
2000
2011
1990
Population Preterm
Infants
using
birth rate c exclusively
b
solid fuels (per 100 breastfed
live births) for the first
(%)
6 months
of life d
(%)
2000
2011
2010
2010
2005–2012
Children aged < 5 years e
(%)
MDG 1
Underweight
Wasted
Stunted
2005
–2012
2005
–2012
1990
–1995
2005
–2012
Overweight
2005
–2012
Afghanistan
…
22
61
…
23
28
85
12
…
…
…
…
…
…
Albania
97
97
95
81
86
94
39
9
39
9.4
23.1
…
6.3
23.4
Algeria
94
89
84
89
92
95
<5
7
7
4.0
15.9
9.2
3.7
12.9
Andorra
100
100
100
100
100
100
<5 p
…
…
…
…
…
…
…
Angola
42
46
53
29
42
59
55
13
…
8.2
29.2
…
15.6
…
Antigua and Barbuda
97
98
98
75
85
91
<5
6
…
…
…
…
…
…
Argentina
93
97
99
87
92
96
<5
8
…
1.2
8.2
1.7
2.3
9.9
Armenia
…
93
99
…
89
90
19
11
35
4.2
20.8
…
5.3
16.8
Australia
100
100
100
100
100
100
<5 p
8
…
0.0
1.8
…
0.2
8.0
Austria
100
100
100
100
100
100
<5 p
11
10
…
…
…
…
…
Azerbaijan
70
74
80
…
62
82
7
9
12
6.8
26.8
…
8.4
13.9
Bahamas
…
96
96
…
88
…
<5 p
10
…
…
…
…
…
…
Bahrain
95
99
100
99
99
99
<5 p
14
…
…
…
7.6
…
…
Bangladesh
76
79
83
38
45
55
91
14
64
17.5
43.2
61.5
41.3
1.1
Barbados
95
99
100
82
90
…
<5
9
…
…
…
…
…
…
Belarus
100
100
100
93
93
93
<5
4
9
2.2
4.5
…
1.3
9.7
Belgium
100
100
100
100
100
100
<5 p
8
…
…
…
…
…
…
Belize
73
85
99
76
83
90
12
10
15
1.9
22.2
5.4
4.9
13.7
Benin
57
66
76
5
9
14
91
11
33
8.4
44.7
…
20.2
11.4
Bhutan
…
86
97
…
39
45
40
10
49
5.9
33.5
…
12.7
7.6
Bolivia (Plurinational State of)
69
79
88
28
37
46
29
9
60
1.4
27.2
9.7
4.5
8.7
Bosnia and Herzegovina
97
98
99
…
95
96
45
8
18
4.0
11.8
…
1.6
25.6
Botswana
92
95
97
39
52
64
37
15
…
7.2
31.4
…
11.2
11.2
Brazil
88
93
97
67
75
81
6
9
40
1.6
7.1
…
2.2
7.3
Brunei Darussalam
…
…
…
…
…
…
<5 p
12
…
…
…
…
…
…
Bulgaria
100
100
99
99
100
100
7q
8
…
…
…
…
…
…
Burkina Faso
44
60
80
8
12
18
92
11
25
11.3
35.1
29.6
26.0
6.9
Burundi
69
72
74
42
46
50
>95
11
69
9.0
57.7
…
35.2
…
Cambodia
31
44
67
9
18
33
89
11
74
10.8
40.9
…
29.0
1.9
Cameroon
49
62
74
47
48
48
75
13
20
5.8
32.6
18.0
15.1
6.5
Canada
100
100
100
100
100
100
<5 p
8
14
…
…
…
…
…
Cape Verde
…
83
89
…
44
63
32
11
60
…
…
11.8
…
…
Central African Republic
58
63
67
11
22
34
>95
13
23
7.4
40.7
23.3
23.5
1.8
Chad
40
45
50
8
10
12
88
13
3
15.6
38.8
…
30.3
2.8
Chile
90
95
98
85
92
99
6
7
…
0.3
2.0
0.8
0.5
9.5
China
67
80
92
24
45
65
46
7
…
2.3
9.4
12.6
3.4
6.6
Colombia
88
91
93
67
73
78
14
9
43
0.9
12.7
6.3
3.4
4.8
Comoros
87
92
…
18
28
…
71
17
…
…
…
16.2
…
…
Congo
…
71
72
…
20
18
77
17
21
8.0
31.2
…
11.8
8.5
Cook Islands
100
100
100
100
100
95
<5
…
…
…
…
…
…
…
Costa Rica
93
95
96
88
91
94
6
14
19
1.0
5.6
2.5
1.1
8.1
Côte d'Ivoire
76
78
80
20
22
24
78
14
12
14.0
39.0
20.9
29.4
4.9
Croatia
98
98
99
98
98
98
8
6
…
…
…
0.6
…
…
Cuba
…
91
94
81
87
92
9
6
49
…
…
…
…
…
Cyprus
100
100
100
100
100
100
<5 p
15
…
…
…
…
…
…
Czech Republic
100
100
100
100
100
100
<5
7
…
…
…
0.9
…
…
Democratic People's Republic of Korea
100
100
98
…
61
82
91
11
89
5.2
32.4
…
18.8
0.0
Democratic Republic of the Congo
43
44
46
17
23
31
93
12
37
8.5
43.4
30.7
24.2
6.8
108
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Prevalence of
raised blood
pressure among
adults aged
≥ 25 years g
(%)
Adults aged
≥20 years who
are obese h
(%)
Male
Male
Male
Female
2008
Female
2008
Female
2008
Alcohol
consumption
among
adults aged
≥15 years i
(litres of
pure alcohol
per person
per year)
Prevalence of
smoking any
tobacco product
among adults
aged ≥15 years j
(%)
Prevalence of
current tobacco
use among
adolescents aged
13–15 years k
(%)
Male
Male
2008
2009
Female
Female
2005–2010
MDG 6
Prevalence of
Population
condom use
aged 15–24
by adults aged
years with
15–49 years comprehensive
during highercorrect
risk sex l
knowledge of
HIV/AIDS m
(%)
(%)
Member State
Male Female Male Female
2005–2011
2005–2011
…
…
…
…
…
Afghanistan
7
37
…
22
36
Albania
26 o
6o
…
…
…
…
Algeria
32
…
…
…
…
…
…
Andorra
…
…
…
…
…
…
…
…
Angola
…
…
24
16
…
…
…
…
Antigua and Barbuda
9.4
32
22
26
30
…
…
…
…
Argentina
30.2
13.7
51
2
11
4
72
…
15
23
Armenia
25.2
24.9
10.2
22
19
…
…
…
…
…
…
Australia
19.2
17.1
12.4
47
45
…
…
…
…
…
…
Austria
30.9
15.8
32.1
13.3
41
…
…
…
…
…
…
…
Azerbaijan
37.6 n
25.6 n
26.7 n
42.6 n
8.7
…
…
18
15
…
…
…
…
Bahamas
34.5
32.9
28.9
38.2
4.2
34
8
…
…
…
…
…
…
Bahrain
27.9 n
Bangladesh
8.9 n
9.5 n
27.2 n
27.9 n
1.5 n
3.3 n
<0.1
…
…
…
10.3 n
9.0 n
39.3
31.7
21.7
20.5
7.3
60
19
18
9.0
9.3
33.9
33.2
10.7
24.3
0.7
…
…
10.4 n
7.0 n
29.2 n
17.5 n
25.7 n
22.6 n
10.2
38
8.2 n
8.7 n
39.6 n
33.8 n
3.8 n
10.2 n
5.6
11.3 n
12.0 n
38.5 n
27.5 n
18.1 n
33.1 n
8.2
11.0
10.3
31.0
17.9
27.4
31.0
11.5 n
11.5 n
42.1
37.0
14.4
9.6
6.7
22.8
13.7
7.1
4.6
28.7
19.8
12.1 n
12.3 n
36.6
12.7 n
13.7 n
13.5
12.1
9.2
9.9
27.4 n
1.0
1.3
0.2
46
2
9
5
…
…
…
…
12.8
15.2
35.4
29.1
21.6
44.2
6.4
13
1
35
23
…
…
…
…
Barbados
10.4 n
10.0 n
44.3
32.9
19.7 n
26.4 n
18.9
49
9
…
…
…
…
…
…
Belarus
9.3 n
6.4 n
24.6
16.8
21.2
16.9
10.4
30
22
…
…
…
…
…
…
Belgium
8.7
12.7
30.2
22.4
24.4
45.4
5.9
23
3
22
15
…
…
…
…
Belize
6.7
6.5
38.1
34.1
3.5
9.5
2.1
15
1
…
…
18
21
35
16
Benin
12.0
12.6
29.0
26.9
4.7
6.6
0.5
…
…
28
12
…
…
…
…
Bhutan
8.9 n
10.2 n
30.7 n
23.5 n
10.0
27.1
5.8
42
18
…
…
35
…
28
22
Bolivia (Plurinational State of)
11.4 n
10.4 n
38.7
38.4
22.7
25.3
9.6
47
36
16
11
…
…
…
…
Bosnia and Herzegovina
8.0 n
10.0 n
39.1
37.9
3.0
22.8
7.0
…
…
27
21
…
…
…
…
Botswana
10.4
10.0
39.4
26.6
16.5
22.1
10.1
22
13
29 o
31 o
…
…
…
…
Brazil
8.7 n
5.9 n
23.6 n
16.9 n
8.5 n
7.2 n
1.9
32
4
…
…
…
…
…
…
Brunei Darussalam
10.4 n
8.9 n
40.0
31.2
22.0
20.4
11.4
48
27
26
32
…
…
…
…
Bulgaria
8.9 n
8.7 n
36.7 n
35.2 n
1.7
3.0
7.3
18
8
23 o
12 o
27
62
36
31
Burkina Faso
6.2 n
5.9 n
42.2 n
39.5 n
2.8 n
3.7 n
9.7
…
…
21
17
14
14
47
45
Burundi
4.7
5.2
22.5
16.8
1.6
2.8
4.7
42
3
…
…
40
…
44
44
Cambodia
9.5
10.4
35.6
29.8
7.0
15.1
7.9
14
2
14 o
8o
…
…
…
…
Cameroon
10.9 n
8.3 n
17.4
13.2
24.6
23.9
10.2
24
17
…
…
…
…
…
…
Canada
15.6
14.7
47.7
38.4
6.3
15.3
5.0
14
3
15
12
…
…
…
…
Cape Verde
7.3 n
8.0 n
39.1 n
34.5 n
2.0
5.3
3.2
…
…
30 o
35 o
…
…
27
17
Central African Republic
8.8 n
8.7 n
35.5
31.3
2.4
3.8
4.4
22
3
21
14
…
…
…
…
Chad
11.2
9.5
39.4
27.4
24.5
33.6
8.8
38
33
30 o
40 o
…
…
…
…
Chile
9.6
9.4
29.8
25.6
4.6
6.5
5.6
51
2
7o
4o
…
…
…
…
China
6.7
6.1
34.3
26.5
11.9
23.7
6.6
…
…
27 o
28 o
…
34
…
24
Colombia
7.9 n
7.6 n
40.8 n
36.5 n
3.5
5.3
0.3
24
9
22
15
…
…
…
…
Comoros
7.8 n
8.5 n
40.3
36.1
2.8
7.5
4.5
10
…
28
20
28
29
22
8
Congo
20.5
21.1
40.1
28.1
59.7
68.5
3.2
43
31
34
36
…
…
…
…
Cook Islands
10.1
10.2
31.6
22.5
20.9
28.3
5.8
24
8
16
13
…
…
…
…
Costa Rica
9.2 n
9.7 n
41.6
35.7
3.9
9.7
6.5
17
4
26
11
38
41
28
18
Côte d'Ivoire
10.2 n
8.4 n
42.4
34.2
22.8
19.4
15.0
36
30
23
26
…
…
…
…
Croatia
11.3
12.0
33.2 n
28.7 n
13.3
27.5
5.1
…
…
20
15
…
…
…
…
Cuba
10.2 n
6.8 n
28.9
18.5
24.8
21.9
8.8
…
…
13
8
…
…
…
…
Cyprus
11.5
9.1
39.3
27.7
30.5
26.5
16.5
43
31
36
34
…
…
…
…
Czech Republic
7.7 n
7.5 n
26.7 n
23.7 n
3.7 n
3.9 n
4.3
…
…
…
…
…
…
…
…
Democratic People's Republic of Korea
6.6 n
7.8 n
38.5
33.3
0.7
3.0
3.4
10
2
37 o
29 o
16
9
21
15
Democratic Republic of the Congo
109
Table 5
Prevalence of
raised fasting
blood glucose
among adults
aged ≥ 25 years f
(%)
5. Risk factors
Member State
MDG 7
Population using
Population using
improved sanitation a
improved
a
drinking-water sources
(%)
(%)
Population Preterm
Infants
using
birth rate c exclusively
b
solid fuels (per 100 breastfed
live births) for the first
(%)
6 months
of life d
(%)
1990
2000
2011
1990
2000
2011
2010
Denmark
100
100
100
100
100
100
Djibouti
75
82
92
62
62
Dominica
…
94
…
…
Dominican Republic
89
86
82
73
Ecuador
76
84
92
69
Egypt
93
96
99
72
El Salvador
74
83
90
50
Equatorial Guinea
…
51
…
…
Eritrea
43
54
…
Estonia
99
99
99
Ethiopia
14
29
49
Fiji
85
91
96
Finland
100
100
100
France
100
100
Gabon
…
Gambia
74
Children aged < 5 years e
(%)
MDG 1
Underweight
Wasted
Stunted
2005
–2012
2005
–2012
1990
–1995
2005
–2012
Overweight
2005
–2012
2010
2005–2012
<5 p
7
…
…
…
…
…
…
61
13
12
1
21.5
33.5
…
29.8
8.1
81
…
<5
12
…
…
…
…
…
…
78
82
7
11
8
2.3
10.1
8.4
3.4
8.3
81
93
<5
5
…
…
…
…
…
…
86
95
<5
7
53
7.9
30.7
10.5
6.8
20.5
61
70
22
13
31
1.6
20.6
7.2
6.6
5.7
89
…
77 q
17
…
…
…
…
…
…
9
11
…
60
12
…
…
…
36.9
…
…
96
95
100
11
6
…
…
…
…
…
…
2
8
21
>95
10
52
10.1
44.2
…
29.2
1.8
57
74
87
37
10
…
…
…
6.9
…
…
100
100
100
<5 p
6
15
…
…
…
…
…
100
100
100
100
<5 p
7
…
…
…
…
…
…
85
88
…
36
33
26
16
…
…
…
…
…
…
83
89
…
63
68
91
14
36
9.9
24.4
…
18.1
1.8
Georgia
85
89
98
96
95
93
46
9
11
1.6
11.3
…
1.1
19.9
Germany
100
100
100
100
100
100
<5 p
9
22
1.0
1.3
…
1.1
3.5
Ghana
53
71
86
6
10
13
84
15
46
8.7
28.6
25.1
14.3
5.9
Greece
96
99
100
97
98
99
<5 p
7
…
…
…
…
…
…
Grenada
…
94
…
…
92
…
<5
10
…
…
…
…
…
…
Guatemala
81
87
94
62
71
80
57
8
50
1.1
48.0
21.7
13.0
4.9
Guinea
51
63
74
10
14
18
>95
14
21
8.3
40.0
21.2
20.8
5.1
Guinea-Bissau
36
52
72
…
12
19
>95
11
38
5.8
32.2
…
18.1
3.2
Guyana
…
89
95
…
79
84
7
13
33
5.3
19.5
16.1
11.1
6.7
Haiti
61
62
64
21
23
26
91
14
40
10.3
29.7
23.7
18.9
3.9
Honduras
73
81
89
49
65
81
51
12
30
1.4
29.9
15.8
8.6
5.8
…
Hungary
96
99
100
100
100
100
<5 p
9
…
…
…
…
…
Iceland
100
100
100
100
100
100
<5 p
7
…
…
…
…
…
…
India
70
81
92
18
25
35
58
13
46
20.0
47.9
56.6
43.5
1.9
Indonesia
70
78
84
35
47
59
55
16
32
12.3
39.2
29.8
18.6
12.3
Iran (Islamic Republic of)
91
93
95
81
89
100
<5
13
28
…
…
13.8
…
…
Iraq
78
80
85
…
75
84
<5
7
20
5.8
27.5
10.4
7.1
15.0
Ireland
100
100
100
99
99
99
<5 p
6
15
…
…
…
…
…
Israel
100
100
100
100
100
100
<5 p
8
…
…
…
…
…
…
Italy
100
100
100
…
…
…
<5 p
7
…
…
…
…
…
…
Jamaica
93
93
93
79
80
80
11
10
15
3.5
4.8
4.0
3.2
4.0
Japan
100
100
100
100
100
100
<5 p
6
…
…
…
…
…
…
Jordan
97
97
96
97
98
98
<5
14
22
1.6
8.3
4.8
1.9
6.6
Kazakhstan
96
96
95
96
97
97
9
9
32
3.7
17.5
6.7
4.9
14.8
Kenya
43
52
61
25
27
29
80
12
32
7.0
35.2
20.1
16.4
5.0
Kiribati
50
59
66
28
34
39
46 q
10
…
…
…
…
…
…
Kuwait
99
99
99
100
100
100
<5 p
11
…
1.8
3.8
9.2
1.7
9.0
Kyrgyzstan
…
81
89
…
93
93
34
10
32
3.4
18.1
…
2.7
10.7
Lao People's Democratic Republic
…
45
70
…
28
62
>95
11
26
7.3
47.6
39.8
31.6
1.3
Latvia
98
98
98
…
79
…
5
5
29
…
…
…
…
…
Lebanon
100
100
100
…
98
…
<5
8
17
…
…
…
…
…
Lesotho
80
79
78
…
25
26
61
12
54
3.9
39.0
13.8
13.5
7.3
110
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Prevalence of
raised blood
pressure among
adults aged
≥ 25 years g
(%)
Adults aged
≥20 years who
are obese h
(%)
Male
Male
Male
Female
2008
Female
2008
Female
2008
Alcohol
consumption
among
adults aged
≥15 years i
(litres of
pure alcohol
per person
per year)
Prevalence of
smoking any
tobacco product
among adults
aged ≥15 years j
(%)
Prevalence of
current tobacco
use among
adolescents aged
13–15 years k
(%)
Male
Male
2008
2009
Female
Female
2005–2010
MDG 6
Prevalence of
Population
condom use
aged 15–24
by adults aged
years with
15–49 years comprehensive
during highercorrect
risk sex l
knowledge of
HIV/AIDS m
(%)
(%)
Member State
Male Female Male Female
2005–2011
2005–2011
8.8 n
5.9 n
26.5
15.6
17.1
15.4
12.0
30
28
…
…
…
…
…
…
Denmark
9.7 n
9.4 n
38.8 n
32.5 n
6.7 n
13.8 n
1.9
…
…
23
14
…
…
…
…
Djibouti
15.6
20.7
41.9
35.3
10.1
39.1
8.7
11
4
30
20
…
…
…
…
Dominica
8.0
9.0
35.6
29.5
14.4
29.3
6.3
17
13
…
…
45
35
34
41
Dominican Republic
9.2 n
9.8 n
32.3 n
23.9 n
15.7
28.2
9.4
…
…
31 o
26 o
…
…
…
…
Ecuador
7.0
7.4
27.1
27.0
22.5
46.3
0.3
40
…
20
4
…
…
…
4
Egypt
11.3
10.7
27.8
20.7
20.2
32.9
4.0
…
…
18
11
…
…
…
…
El Salvador
8.7 n
8.7 n
43.5 n
35.8 n
7.9 n
14.8 n
6.1
…
…
25
17
…
…
…
…
Equatorial Guinea
7.8 n
7.3 n
32.2
28.1
1.3
2.3
1.6
10
2
8
5
…
…
…
…
Eritrea
9.0
7.8
47.3
33.2
20.2
17.6
17.2
46
23
34
28
…
…
…
…
Estonia
7.3 n
7.0 n
33.0
28.3
0.9
1.6
4.1
8
…
…
…
16
47
34
24
Ethiopia
13.2
16.4
32.5
29.7
21.3
42.2
2.8
18
3
18
10
…
…
…
…
Fiji
10.3
6.3
34.9
22.7
21.0
18.6
13.1
28
22
…
…
…
…
…
…
Finland
7.2
4.3
29.1
16.2
16.8
14.6
12.5
36
27
…
…
…
…
…
…
France
9.1 n
9.9 n
40.0
33.0
8.4
21.5
9.5
19
3
…
…
…
…
…
…
Gabon
9.9
11.3
39.7
34.2
2.3
14.4
3.6
31
3
34 o
37 o
…
…
…
…
Gambia
11.9 n
11.1 n
42.6
34.3
15.9 n
25.7 n
6.7
57
6
15
3
…
…
…
…
Georgia
9.8
6.3
31.1
20.7
23.1
19.2
12.1
33
25
…
…
…
…
…
…
Germany
9.9
10.3
32.7
31.6
4.4
11.7
3.1
11
3
14
11
26
18
34
28
Ghana
9.5
7.9
25.1
19.8
18.8
16.1
11.0
63
41
17
14
…
…
…
…
Greece
11.1 n
12.4 n
35.9 n
28.1 n
14.9 n
32.1 n
10.7
…
…
25
17
…
…
…
…
Grenada
11.5
14.0
28.5
22.2
13.8
26.7
7.1
22
4
20
13
…
…
…
…
Guatemala
8.8 n
8.6 n
38.4 n
36.8 n
4.3
5.1
0.8
25
2
31
20
24
20
23
17
Guinea
8.6 n
9.1 n
37.6 n
35.3 n
2.6 n
8.1 n
3.9
…
…
12 o
10 o
…
…
…
…
Guinea-Bissau
10.8 n
13.1 n
32.1 n
28.0 n
8.3 n
27.1 n
8.7
27
6
25
16
65
48
47
54
Guyana
9.6 n
9.6 n
33.6 n
28.1 n
8.4
8.4
5.9
…
…
22 o
24 o
34
21
40
34
Haiti
8.6
8.4
30.8
25.1
12.9
26.3
4.4
…
3
…
…
…
27
…
30
Honduras
10.6 n
8.5 n
42.7
31.3
26.2
22.9
16.1
43
33
28
27
…
…
…
…
Hungary
10.9 n
6.9 n
25.8
14.2
23.4
20.3
7.4
27
21
…
…
…
…
…
…
Iceland
11.1
10.8
23.1
22.6
1.3
2.5
2.7
26
4
19
8
23
12
36
20
India
6.6
7.1
32.5
29.3
2.5
6.9
0.6
61
5
41
6
…
…
…
…
Indonesia
9.3
10.5
30.9
26.9
13.6
29.5
1.0
26
2
33
20
…
…
…
…
Iran (Islamic Republic of)
12.7
12.5
30.1 n
28.7 n
22.3
36.2
0.5
31
4
18 o
15 o
…
…
…
…
Iraq
8.4
5.6
34.9
20.7
25.7
23.3
14.9
…
…
…
…
…
…
…
…
Ireland
10.2
8.7
23.1
16.5
23.2
27.6
2.5
29
13
…
…
…
…
…
…
Israel
8.8
5.4
28.6
20.6
19.3
14.9
9.7
33
19
…
…
…
…
…
…
Italy
10.2
12.9
32.3
28.0
10.0
38.2
5.2
…
…
31
25
…
…
…
…
Jamaica
7.2
4.7
26.4
16.7
5.5
3.5
7.8
42
12
…
…
…
…
…
…
Japan
17.2
18.1
26.0
20.3
27.3
41.7
0.7
47
6
34
19
…
…
…
13
Jordan
12.5 n
10.8 n
40.4 n
31.8 n
20.2
27.4
11.1
40
9
12
8
…
…
…
…
Kazakhstan
7.6 n
7.8 n
37.1
33.0
2.5
6.8
3.9
26
1
15
15
37
32
55
47
Kenya
23.6
24.9
31.2
21.6
37.7
53.6
2.7
71
43
43
32
…
…
…
…
Kiribati
17.0
14.8
29.0
23.7
37.2
52.4
0.1
35
4
25
11
…
…
…
…
Kuwait
11.1 n
10.4 n
38.5 n
33.4 n
11.7
21.6
4.7
45
2
10
4
…
…
…
…
Kyrgyzstan
7.1 n
7.6 n
28.1
24.0
1.7
4.1
7.0
51
4
8o
4o
…
…
…
…
Lao People's Democratic Republic
10.4 n
9.0 n
44.5 n
32.7 n
21.5
21.8
13.5
50
22
42
34
…
…
…
…
Latvia
13.0
11.0
33.9
26.1
26.4
29.7
2.3
46
31
66
54
…
…
…
…
Lebanon
9.0 n
12.0 n
36.4 n
35.9 n
3.1
26.6
5.6
…
…
26
22
52
39
29
39
Lesotho
111
Table 5
Prevalence of
raised fasting
blood glucose
among adults
aged ≥ 25 years f
(%)
5. Risk factors
Member State
MDG 7
Population using
Population using
improved sanitation a
improved
a
drinking-water sources
(%)
(%)
1990
2000
2011
1990
Population Preterm
Infants
using
birth rate c exclusively
b
solid fuels (per 100 breastfed
live births) for the first
(%)
6 months
of life d
(%)
2000
2011
2010
2010
Children aged < 5 years e
(%)
Wasted
Stunted
2005–2012
2005
–2012
2005
–2012
MDG 1
Underweight
1990
–1995
2005
–2012
Overweight
2005
–2012
Liberia
…
61
74
…
12
18
>95
14
29
7.8
39.4
…
20.4
4.2
Libya
54
54
…
97
97
97
<5
8
…
6.5
21.0
4.3
5.6
22.4
Lithuania
…
92
…
…
87
…
7q
6
…
…
…
…
…
…
Luxembourg
100
100
100
100
100
100
<5 p
8
…
…
…
…
…
…
Madagascar
29
38
48
8
11
14
>95
14
51
…
49.2
35.5
…
…
Malawi
42
63
84
39
46
53
>95
18
71
4.1
47.8
24.4
13.8
9.2
Malaysia
88
96
100
84
92
96
<5
12
…
…
17.2
22.1
12.9
…
Maldives
93
95
99
68
79
98
8
8
48
10.2
20.3
32.5
17.8
6.5
Mali
28
45
65
15
18
22
>95
12
34
8.9
27.8
…
18.9
4.7
Malta
100
100
100
100
100
100
<5 p
6
…
…
…
…
…
…
Marshall Islands
92
93
94
65
70
76
32
12
27
…
…
…
…
…
Mauritania
30
40
50
16
21
27
58
15
19
8.1
23.0
43.3
15.9
1.0
Mauritius
99
99
100
89
89
91
<5
13
…
…
…
13.0
…
…
Mexico
82
89
94
66
75
85
14
7
…
1.6
13.6
…
2.8
7.6
Micronesia (Federated States of)
91
90
89
19
34
55
41
11
…
…
…
…
…
…
Monaco
100
100
100
100
100
100
<5 p
…
…
…
…
…
…
…
Mongolia
54
65
85
…
49
53
72
14
59
2.7
27.5
10.8
5.3
14.2
Montenegro
97
98
98
…
90
90
28
9
19
4.2
7.9
…
2.2
15.6
Morocco
73
78
82
53
64
70
<5
7
15
2.3
14.9
8.1
3.1
10.7
Mozambique
34
41
47
9
14
19
95
16
41
4.2
43.7
23.9
18.3
3.6
Myanmar
56
67
84
…
62
77
92
12
…
7.9
35.1
28.8
22.6
2.6
Namibia
64
80
93
24
28
32
55
14
24
7.5
29.6
21.5
17.5
4.6
Nauru
…
93
96
66
66
66
<5
…
67
1.0
24.0
…
4.8
2.8
Nepal
67
77
88
7
21
35
82
14
70
11.2
40.5
44.1
29.1
1.5
Netherlands
100
100
100
100
100
100
<5 p
8
40
…
…
…
…
…
New Zealand
100
100
100
…
…
…
<5 p
8
…
…
…
…
…
…
Nicaragua
74
80
85
43
48
52
54
9
31
1.5
23.0
9.6
5.7
6.2
Niger
35
42
50
4
7
10
>95
9
10
12.4
54.8
41.0
39.9
3.5
Nigeria
47
55
61
38
34
31
74
12
15
14.4
41.0
35.1
26.7
10.5
Niue
99
99
99
…
79
100
<5
…
…
…
…
…
…
…
Norway
100
100
100
100
100
100
<5 p
6
…
…
…
…
…
…
Oman
79
84
92
82
89
97
<5 p
14
…
7.1
9.8
21.4
8.6
1.7
Pakistan
85
88
91
27
37
47
64
16
40
14.8
43.0
39.0
30.9
6.4
Palau
90
92
95
46
81
100
<5
…
…
…
…
…
…
…
Panama
84
90
94
58
65
71
18
8
14
1.2
19.1
…
3.9
…
Papua New Guinea
33
35
40
20
19
19
73
7
…
4.4
43.9
…
18.1
3.4
Paraguay
52
74
…
38
58
…
49
8
24
1.1
17.5
2.8
3.4
7.1
Peru
75
80
85
54
63
72
36
7
71
0.4
19.5
8.8
4.1
9.8
Philippines
85
89
92
57
65
74
50
15
34
6.9
32.3
29.9
20.7
3.3
Poland
…
…
…
…
89
…
<5 p
7
…
…
…
…
…
…
Portugal
96
98
100
94
98
100
<5 p
8
…
…
…
…
…
…
Qatar
100
100
100
100
100
100
<5
11
…
…
…
4.8
…
…
Republic of Korea
…
93
98
100
100
100
<5
9
50
…
…
…
…
…
Republic of Moldova
…
93
96
…
79
86
11
12
46
5.8
11.3
…
3.2
9.1
Romania
75
84
…
71
72
…
17
7
…
…
…
5.0
…
…
Russian Federation
93
95
97
74
72
70
<5
7
…
…
…
…
…
…
Rwanda
62
66
69
32
47
61
>95
10
85
3.0
44.3
24.3
11.7
7.1
Saint Kitts and Nevis
…
98
98
…
87
…
14 q
…
…
…
…
…
…
…
112
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Prevalence of
raised blood
pressure among
adults aged
≥ 25 years g
(%)
Adults aged
≥20 years who
are obese h
(%)
Male
Male
Male
Female
2008
Female
2008
Female
2008
Alcohol
consumption
among
adults aged
≥15 years i
(litres of
pure alcohol
per person
per year)
Prevalence of
smoking any
tobacco product
among adults
aged ≥15 years j
(%)
Prevalence of
current tobacco
use among
adolescents aged
13–15 years k
(%)
Male
Male
2008
2009
Female
Female
2005–2010
8.4 n
9.3 n
38.5 n
35.7 n
3.1
7.7
5.1
14
14.5
14.4
45.2
38.9
21.5
41.3
0.1
47
11.2 n
9.7 n
45.5
34.3
23.9
24.7
16.3
50
22
9.9 n
6.7 n
28.5 n
17.9 n
24.5
22.2
12.8
…
…
8.1 n
7.0 n
40.6
37.5
1.8
1.5
1.3
…
…
6.4
6.2
44.5
39.4
2.6
6.2
1.4
26
11.6
11.2
28.8
24.6
10.4
17.9
0.9
7.8
7.5
30.6 n
24.5 n
6.5
26.1
…
MDG 6
Prevalence of
Population
condom use
aged 15–24
by adults aged
years with
15–49 years comprehensive
during highercorrect
risk sex l
knowledge of
HIV/AIDS m
(%)
(%)
Member State
Male Female Male Female
2005–2011
2005–2011
…
14 o
12 o
22
14
27
21
Liberia
…
11
5
…
…
…
…
Libya
38
29
…
…
…
…
Lithuania
…
…
…
…
…
…
Luxembourg
33
14
7
8
26
23
Madagascar
4
17
11
25
27
…
…
Malawi
50
2
35
9
…
…
…
…
Malaysia
43
11
9
3
…
…
…
…
Maldives
9.0 n
9.5 n
30.5
31.3
2.4
6.8
1.0
28
2
23
9
12
8
22
18
Mali
11.8
8.9
29.9
20.3
26.1
26.8
4.1
30
21
…
…
…
…
…
…
Malta
25.5
31.9
29.6
22.7
38.8
53.9
…
36
7
29
22
20
11
39
27
Marshall Islands
7.5
8.3
38.4 n
33.9 n
4.3
23.3
0.1
29
4
28
18
…
…
…
…
Mauritania
11.6
9.9
40.6 n
34.5 n
12.9
23.0
3.5
31
2
20
8
…
…
…
…
Mauritius
29 o
…
…
…
…
Mexico
…
…
…
…
Micronesia (Federated States of)
13.2
14.9
27.4
21.5
26.7
38.4
8.6
24
8
28 o
14.0
19.8
36.9
27.0
30.9
53.4
5.3
30
18
52
40
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Monaco
10.9
8.9
44.8
32.9
11.9
20.7
3.4
48
6
26
16
…
…
…
…
Mongolia
9.8 n
8.4 n
42.0 n
32.5 n
22.8 n
20.7 n
…
…
…
7
6
…
…
…
…
Montenegro
10.6
10.9
34.0
37.6
11.1
23.1
1.2
33
2
13
8
…
…
…
…
Morocco
8.0 n
8.2 n
46.3
41.4
2.6
7.8
2.3
18
2
13 o
7o
22
24
35
37
Mozambique
6.1
7.1
34.0
29.2
2.0
6.1
0.6
40
8
23
8
…
…
…
…
Myanmar
Namibia
8.6 n
9.6 n
43.7
38.1
4.3
16.8
11.5
30
9
32
30
74
66
53
59
12.8
15.2
40.3
29.9
67.5
74.7
4.8
49
50
…
…
…
…
…
…
Nauru
9.8
9.3
26.6 n
28.6 n
1.4
1.6
2.4
36
29
13
5
27
…
34
26
Nepal
6.1
4.1
28.9
17.6
16.1
16.1
9.8
31
26
…
…
…
…
…
…
Netherlands
11.1 n
8.8 n
22.8
15.1
26.2
27.7
10.0
27
24
19
22
…
…
…
…
New Zealand
8.6
9.4
31.9
24.7
16.8
31.3
5.2
…
…
…
…
…
…
…
…
Nicaragua
7.8 n
8.3 n
50.3
41.0
1.5
3.7
0.3
9
…
12
6
7
8
16
13
Niger
7.9
12.0
38.6
41.2
5.1
9.0
12.7
10
3
19 o
11 o
33
23
33
22
Nigeria
…
…
…
…
…
…
8.7
…
…
…
…
…
…
…
…
Niue
10.6
7.7
33.7
22.2
21.6
17.9
8.4
31
28
…
…
…
…
…
…
Norway
12.0
12.3
32.4
27.5
19.4
25.9
0.9
12
…
5
2
…
…
…
…
Oman
11.7
14.1
28.6
28.0
3.5
8.4
<0.1
34
6
…
…
…
…
…
…
Pakistan
17.5 n
19.0 n
34.6 n
25.5 n
44.9 n
56.3 n
9.9
37
9
58
42
…
…
…
…
Palau
10.9 n
11.2 n
33.1 n
23.3 n
19.4
32.1
7.3
17
4
11
7
…
…
…
…
Panama
15.2
14.7
21.1
18.1
11.8
20.1
3.6
58
31
55
40
…
…
…
…
Papua New Guinea
10.6
10.1
34.6 n
24.8 n
16.2 n
22.3 n
7.9
30
14
21
13
…
…
…
…
Paraguay
5.8
6.1
26.0
19.6
11.1
21.7
6.5
…
9
22
17
…
…
…
…
Peru
6.5
6.6
28.7
23.6
4.5
8.3
6.1
47
10
28
18
22
…
…
21
Philippines
8.2
6.9
41.3
33.0
22.9
22.9
14.4
36
25
26 o
32 o
…
…
…
…
Poland
7.5
5.7
34.5
24.3
20.4
22.3
13.9
32
16
…
…
…
…
…
…
Portugal
12.4
11.0
34.4
27.6
30.8
39.3
1.3
…
…
25
13
…
…
…
…
Qatar
6.8
5.3
18.0
13.1
6.9
7.7
14.8
49
7
15
11
…
…
…
…
Republic of Korea
9.5 n
11.1 n
40.4 n
34.0 n
10.0
28.8
23.0
43
5
21
7
72
27
…
…
Republic of Moldova
10.0 n
8.9 n
39.0
32.9
16.3
19.0
16.2
46
24
18
10
…
…
…
…
Romania
10.5 n
10.7 n
37.2
31.8
18.4
29.8
16.2
59
24
…
…
…
…
…
…
Russian Federation
6.7 n
6.1 n
43.6 n
40.2 n
4.9
4.0
10.0
…
…
13
10
28
29
46
52
Rwanda
13.6 n
14.6 n
43.2
32.5
32.0
49.4
10.6
12
2
10
8
…
…
…
…
Saint Kitts and Nevis
113
Table 5
Prevalence of
raised fasting
blood glucose
among adults
aged ≥ 25 years f
(%)
5. Risk factors
Member State
MDG 7
Population using
Population using
improved sanitation a
improved
a
drinking-water sources
(%)
(%)
Population Preterm
Infants
using
birth rate c exclusively
b
solid fuels (per 100 breastfed
live births) for the first
(%)
6 months
of life d
(%)
Children aged < 5 years e
(%)
MDG 1
Underweight
Wasted
Stunted
2005
–2012
1990
–1995
2005
–2012
Overweight
2005
–2012
2011
2010
2010
2005–2012
2005
–2012
62
65
<5
11
…
…
…
…
…
…
73
…
<5
12
…
…
…
…
…
…
93
92
92
53
6
51
…
…
…
…
…
…
…
…
…
<5 p
…
…
…
…
…
…
…
78
97
…
21
34
71
11
51
11.2
31.6
…
14.4
11.6
95
97
92
97
100
<5 p
6
…
11.8
9.3
13.5
5.3
6.1
66
73
36
43
51
51
10
39
9.8
28.7
19.0
19.2
2.8
99
100
99
96
96
97
32
7
14
3.5
6.6
…
1.6
15.6
Seychelles
96
96
96
97
97
97
<5
12
…
…
…
…
…
…
Sierra Leone
37
47
57
11
12
13
>95
10
32
7.6
32.6
25.4
18.6
1.4
Singapore
100
100
100
99
100
100
<5 p
12
…
…
…
…
…
…
Slovakia
100
100
100
100
100
100
<5
6
…
…
…
…
…
…
Slovenia
100
100
100
100
100
100
<5
8
…
…
…
…
…
…
Solomon Islands
…
78
79
…
25
29
90
12
74
4.3
32.8
…
11.5
2.5
Somalia
…
21
30
…
22
24
>95
12
5
13.2
42.1
…
32.8
4.7
South Africa
83
87
91
64
69
74
15
8
…
4.7
23.9
8.0
8.7
…
South Sudan
…
…
57
…
…
9
…
…
…
…
…
…
…
…
Spain
100
100
100
100
100
100
<5 p
7
…
…
…
…
…
…
Sri Lanka
68
79
93
68
79
91
75
11
76
11.8
19.2
33.8
21.6
0.8
1990
2000
2011
1990
2000
Saint Lucia
93
94
94
58
Saint Vincent and the Grenadines
88
93
95
63
Samoa
89
93
98
San Marino
…
…
Sao Tome and Principe
…
Saudi Arabia
92
Senegal
60
Serbia
Sudan
67
62
55
27
25
24
…
…
41
…
…
…
…
…
Sudan (former)
…
…
…
…
…
…
79
13
…
21.0
37.9
31.8
31.7
5.3
Suriname
…
89
92
…
81
83
12
9
2
4.9
10.7
…
7.5
4.0
Swaziland
39
52
72
49
52
57
55
14
44
0.8
30.9
…
5.8
10.7
Sweden
100
100
100
100
100
100
<5 p
6
…
…
…
…
…
…
Switzerland
100
100
100
100
100
100
<5 p
7
…
…
…
…
…
…
Syrian Arab Republic
86
88
90
85
89
95
<5
11
29
11.5
27.5
11.5
10.1
17.9
Tajikistan
…
61
66
…
90
95
34
11
25
6.7
39.2
…
15.0
6.7
Thailand
86
92
96
82
91
93
26
12
15
4.7
15.7
16.3
7.0
8.0
The former Yugoslav Republic of Macedonia
99
99
100
…
90
91
33
7
16
3.4
11.5
…
1.8
16.2
Timor-Leste
…
54
69
…
37
39
92
12
52
18.9
57.7
…
45.3
5.8
Togo
48
53
59
13
12
11
94
13
63
4.8
29.5
…
16.6
1.6
Tonga
99
99
99
95
94
92
43
8
…
…
…
…
…
…
Trinidad and Tobago
89
92
94
93
92
92
<5
8
13
…
…
…
…
…
Tunisia
82
89
96
73
82
90
<5
9
9
3.4
9.0
8.1
3.3
8.8
Turkey
85
93
100
84
87
91
<5
12
42
0.8
12.3
8.7
1.7
…
Turkmenistan
…
83
71
98
98
99
<5
10
11
…
…
…
…
…
Tuvalu
90
94
98
73
78
83
19
…
35
3.3
10.0
…
1.6
6.3
Uganda
41
57
75
27
31
35
>95
14
63
4.8
33.7
21.5
14.1
3.8
…
Ukraine
…
97
98
…
95
94
<5
7
18
…
…
…
…
United Arab Emirates
100
100
100
97
97
98
<5
8
…
…
…
…
…
…
United Kingdom
100
100
100
100
100
100
<5 p
8
<1
…
…
…
…
…
United Republic of Tanzania
55
54
53
7
9
12
94
11
50
4.9
42.5
25.1
16.2
5.5
United States of America
98
99
99
100
100
100
<5 p
12
16 r
…
…
0.9
…
…
Uruguay
96
98
100
95
97
99
<5
10
57
1.1
11.7
…
4.5
7.7
Uzbekistan
90
89
87
84
91
100
11
9
26
4.5
19.6
…
4.4
12.8
Vanuatu
62
76
91
…
42
58
84
13
40
5.9
25.9
…
11.7
4.7
Venezuela (Bolivarian Republic of)
90
92
…
82
89
…
<5
8
12
4.1
13.4
6.7
2.9
6.4
Viet Nam
58
77
96
37
55
75
56
9
17
9.7
30.5
36.9
20.2
3.0
Yemen
66
60
55
24
39
53
33
13
…
…
…
29.6
…
…
Zambia
48
54
64
42
41
42
83
13
61
5.6
45.8
21.2
14.9
8.4
Zimbabwe
79
80
80
40
40
40
66
17
31
3.1
32.3
11.7
10.1
5.8
114
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Prevalence of
raised blood
pressure among
adults aged
≥ 25 years g
(%)
Adults aged
≥20 years who
are obese h
(%)
Male
Male
Male
Female
2008
Female
2008
Female
2008
Alcohol
consumption
among
adults aged
≥15 years i
(litres of
pure alcohol
per person
per year)
Prevalence of
smoking any
tobacco product
among adults
aged ≥15 years j
(%)
Prevalence of
current tobacco
use among
adolescents aged
13–15 years k
(%)
Male
Male
2008
Female
2009
Female
MDG 6
Prevalence of
Population
condom use
aged 15–24
by adults aged
years with
15–49 years comprehensive
during highercorrect
risk sex l
knowledge of
HIV/AIDS m
(%)
(%)
Member State
Male Female Male Female
2005–2010
2005–2011
10.3 n
11.8 n
37.1 n
27.4 n
11.9
31.9
12.1
28
12
22
15
…
…
2005–2011
…
…
Saint Lucia
11.1 n
12.5 n
35.4 n
27.5 n
16.4 n
33.5 n
5.0
18
6
22
17
…
…
…
…
Saint Vincent and the Grenadines
21.2
23.7
37.2
28.3
45.3
66.7
4.5
58
23
26
20
…
…
…
…
Samoa
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
San Marino
Sao Tome and Principe
9.3 n
10.3 n
46.3
42.4
6.4
15.4
8.5
9
2
…
…
33
…
43
43
22.0
21.7
32.9
28.7
29.5
43.5
0.3
24
1
21
9
…
…
…
…
Saudi Arabia
9.3 n
10.6 n
37.9 n
34.4 n
3.2
12.5
0.5
16
…
20
10
21
22
31
29
Senegal
10.3 n
8.2 n
42.5
33.6
25.5
20.3
12.2
38
27
11
10
…
…
…
…
Serbia
13.7
13.2
43.2
31.9
15.1
33.7
12.1
24
5
27
25
…
…
…
…
Seychelles
9.2 n
10.0 n
41.9
40.5
3.6
10.1
9.5
39
8
20
24
15
7
28
17
Sierra Leone
7.5
5.4
24.3
18.5
6.6
6.2
1.5
35
6
…
…
…
…
…
…
Singapore
10.6 n
9.2 n
42.1 n
32.5 n
24.9 n
24.3 n
13.3
39
19
29
25
…
…
…
…
Slovakia
10.7 n
8.8 n
43.3 n
32.8 n
28.1 n
25.9 n
14.9
30
22
17
24
…
…
…
…
Slovenia
17.1
18.3
26.5
25.9
25.3
39.2
1.4
46
19
44
37
…
…
…
…
Solomon Islands
7.9 n
7.7 n
39.9 n
35.7 n
3.4 n
7.1 n
0.5
…
…
16 o
12 o
…
…
…
…
Somalia
11.9
11.7
39.9
34.9
23.2
42.8
10.2
24
8
29
20
…
…
…
…
South Africa
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
South Sudan
11.0
8.8
27.7
18.6
24.9
23.0
11.8
36
27
…
…
…
…
…
…
Spain
9.3
8.6
31.0
26.2
2.6
7.3
0.8
27
…
12
6
…
…
…
…
Sri Lanka
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Sudan
8.6 n
8.1 n
39.9 n
33.5 n
4.1 n
8.9 n
2.6
24
2
10
4
…
…
…
…
Sudan (former)
11.6 n
13.5 n
34.2 n
26.7 n
16.5 n
34.6 n
6.6
…
…
21
17
…
…
…
…
Suriname
9.0 n
12.2 n
40.5 n
36.4 n
6.1
37.1
5.1
16
2
16
9
56
55
52
52
Swaziland
8.1
6.0
29.7
19.3
18.2
15.0
10.0
…
…
…
…
…
…
…
…
Sweden
9.3
5.3
27.4
14.9
18.3
11.6
11.4
31
21
…
…
…
…
…
…
Switzerland
12.9 n
12.8 n
31.8 n
29.6 n
23.8
39.0
1.5
42
…
32
19
…
…
…
…
Syrian Arab Republic
10.7 n
9.7 n
37.4 n
34.1 n
8.0
11.6
3.4
…
…
…
…
…
…
…
…
Tajikistan
7.3
7.1
24.6
20.2
4.9
11.8
7.1
45
3
24
8
…
…
…
…
Thailand
10.4 n
8.8 n
39.8 n
33.2 n
21.6
18.9
8.9
…
…
12
12
…
…
…
…
The former Yugoslav Republic of Macedonia
6.4 n
6.9 n
28.2 n
24.7 n
1.5 n
4.3 n
0.7
…
…
60
53
…
…
20
12
Timor-Leste
8.7 n
9.1 n
38.8 n
35.3 n
3.0
6.1
1.9
…
…
18
8
…
…
…
…
Togo
17.0
19.3
34.1
27.0
49.1
70.3
3.9
44
13
…
…
…
…
…
…
Tonga
12.1 n
13.0 n
34.8
27.7
21.6
38.0
6.2
27
11
21
18
…
…
…
…
Trinidad and Tobago
12.0
12.7
32.4
31.6
13.9
33.4
1.1
58
5
20
4
…
…
…
…
Tunisia
10.1
9.8
24.0
24.9
22.8
35.6
3.0
47
15
14
7
…
…
…
…
Turkey
12.0 n
10.1 n
38.3 n
32.8 n
13.9
14.5
5.0
…
…
…
…
…
…
…
…
Turkmenistan
…
…
…
…
…
…
2.1
51
20
42
33
…
…
…
…
Tuvalu
6.8 n
6.5 n
42.9 n
39.6 n
4.3
4.9
16.4
16
3
17
15
15
16
38
32
Uganda
10.2 n
10.2 n
45.8
35.4
15.5
23.6
17.5
50
13
30
22
46
48
43
45
Ukraine
15.3
15.8
30.4
21.2
30.2
43.0
0.5
19
2
25
13
…
…
…
…
United Arab Emirates
7.8
5.7
27.7
19.1
24.4
25.2
13.2
25
23
…
…
…
…
…
…
United Kingdom
8.3
8.5
36.2
33.9
4.0
6.8
7.9
21
3
12 o
9o
24
27
43
48
United Republic of Tanzania
12.6
9.1
17.0
14.2
30.2
33.2
9.7
33
25
15
11
…
…
…
…
United States of America
10.7
10.0
37.5
25.4
20.7
26.0
9.0
31
22
21
25
…
…
…
…
Uruguay
12.6
10.9
30.5
26.3
14.5
19.8
3.6
22
3
3o
2o
…
…
…
…
Uzbekistan
9.2
9.6
40.7
36.5
22.9
36.8
1.0
43
8
34
20
…
…
…
…
Vanuatu
11.1
10.9
37.1
25.4
26.6
34.8
7.6
…
…
11
7
…
…
…
…
Venezuela (Bolivarian Republic of)
7.5
7.9
29.1
23.3
1.2
2.0
3.9
48
2
7
2
…
…
50
42
Viet Nam
11.1 n
11.0 n
32.2 n
29.3 n
10.5 n
22.7 n
0.2
35
11
15
11
…
…
…
…
Yemen
7.2
7.5
41.0
37.9
1.2
7.0
3.6
24
4
26 o
26 o
28
33
37
34
Zambia
8.7 n
9.9 n
36.9
36.4
2.8
13.8
5.0
30
4
15 o
8o
33
48
47
52
Zimbabwe
115
Table 5
Prevalence of
raised fasting
blood glucose
among adults
aged ≥ 25 years f
(%)
5. Risk factors
Member State
MDG 7
Population using
Population using
improved sanitation a
improved
a
drinking-water sources
(%)
(%)
1990
2000
2011
1990
2000
Population Preterm
Infants
using
birth rate c exclusively
b
solid fuels (per 100 breastfed
live births) for the first
(%)
6 months
of life d
(%)
2011
2010
Children aged < 5 years e
(%)
Wasted
Stunted
2005
–2012
2010
2005–2012
2005
–2012
MDG 1
Underweight
1990
–1995
Overweight
2005
–2012
2005
–2012
0.0
Ranges of country values
Minimum
14
21
30
2
7
9
<5
4
<1
0.0
1.3
0.6
0.2
Median
88
90
95
73
79
84
14
10
32
5.3
27.8
16.1
11.6
6.6
Maximum
100
100
100
100
100
100
>95
18
89
21.5
57.7
61.5
45.3
25.6
African Region
50
57
64
29
31
34
77
12
35
10.4
40.9
34.0
25.2
7.9
Region of the Americas
90
93
96
80
84
89
10
8
30
1.1
8.2
4.6
2.2
7.6
South-East Asia Region
71
80
90
26
34
44
61
13
47
14.4
35.7
47.1
27.6
3.3
European Region
96
97
98
91
91
92
5
9
25
1.3
7.8
10.8
1.5
12.5
Eastern Mediterranean Region
85
82
86
55
61
68
33
11
35
10.1
27.2
22.6
14.4
8.1
Western Pacific Region
70
82
92
36
53
70
42
12
…
2.8
10.0
17.5
4.1
5.1
Low income
53
58
67
20
30
37
91
12
47
9.1
38.2
40.1
22.3
4.4
Lower middle income
71
79
87
30
39
47
54
11
38
12.8
35.9
38.1
24.4
4.8
Upper middle income
76
85
93
46
61
74
29
9
…
2.2
8.5
12.3
2.9
6.4
High income
99
99
99
100
99
100
<5
9
18
0.8
3.5
1.3
1.7
8.4
Global
76
83
89
49
56
64
41
11
38
8.0
25.7
25.1
15.7
6.6
WHO region
Income group
a.
Progress on Drinking Water and Sanitation: 2013 Update. New York, UNICEF and
Geneva, World Health Organization, 2012 (forthcoming).
b.
These estimates are based on the WHO Household Energy database (available
at: http://apps.who.int/ghodata/). This database contains compiled information on
cooking-fuel use and cooking practices from about 580 nationally representative
data sources, including all Demographic and Health Surveys (Macro International),
Multiple Indicator Cluster Surveys (UNICEF), World Health Surveys (WHO) and
Living Standards Measurement Studies (World Bank) as well as national censuses/
surveys and national energy statistics. Unless otherwise noted, where solid fuel
use information is available for a country it was derived using a multi-level model
approach which only accounts for regions, countries and time as a spline function,
and estimates are restricted to values ranging from zero to one. Income-group
aggregates are based on the 2011 World Bank list of economies.
c.
Blencowe H et al. National, regional, and worldwide estimates of preterm birth rates
in the year 2010 with time trends since 1990 for selected countries: a systematic
analysis and implications. Lancet. 2012 9 June, 379(9832):2162–2172. See the
paper for income groupings used.
d.
WHO global data bank on infant and young child feeding. Geneva, World Health
Organization, 2012 (http://www.who.int/nutrition/databases/infantfeeding).
e.
Global database on child growth and malnutrition. Geneva, World Health
Organization, 2012 (http://www.who.int/nutgrowthdb/database/en). For the
reference period 1990–1995, figures refer to the first available survey year in the
period. For the reference period 2005–2011, figures refer to the latest available
survey year in the period. Wasted is calculated as the prevalence of low weight-forheight less than -2 standard deviations; underweight is the prevalence of weight-
for-age less than -2 standard deviations; stunting is the prevalence of height-for-age
less than -2 standard deviations; and overweight is the prevalence of weight-forheight above +2 standard deviations (using the WHO Child Growth Standards
median). Global estimates refer to 2011 for wasted, stunting and overweight, and
1990 and 2011 for underweight. For more information, see the above database.
f.
Percentage of population aged 25 years and over with fasting glucose ≥ 126 mg/
dl (7.0 mmol/l) or on medication for raised blood glucose. Global status report
on noncommunicable diseases 2010. Geneva, World Health Organization, 2011
(http://www.who.int/nmh/publications/ncd_report2010). See Annex 4: Country
estimates of NCD mortality and selected risk factors, 2008. Figures reported are
age-standardized point estimates, and uncertainty ranges are available at the Global
Health Observatory web site (http://www.who.int/gho). Income-group aggregates
are based on the 2008 World Bank list of economies.
g.
Percentage of population aged 25 years and over with raised blood pressure
(systolic blood pressure ≥ 140 or diastolic blood pressure ≥ 90). Global Health
Observatory. Geneva, World Health Organization, 2011. Figures reported are agestandardized point estimates, and uncertainty ranges are available at the Global
Health Observatory web site (http://www.who.int/gho). Income-group aggregates
are based on the 2008 World Bank list of economies.
h.
Percentage of population aged 20 years and over with a body mass index ≥ 30.00
kg/m2. Global status report on noncommunicable diseases 2010. Geneva, World
Health Organization, 2011 (http://www.who.int/nmh/publications/ncd_report2010).
See Annex 4: Country estimates of NCD mortality and selected risk factors, 2008.
Figures reported are age-standardized point estimates, and uncertainty ranges
are available at the Global Health Observatory web site (http://www.who.int/gho).
Income-group aggregates are based on the 2008 World Bank list of economies.
116
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Prevalence of
raised blood
pressure among
adults aged
≥ 25 years g
(%)
Adults aged
≥20 years who
are obese h
(%)
Male
Male
Male
Female
2008
Female
2008
Female
2008
Alcohol
consumption
among
adults aged
≥15 years i
(litres of
pure alcohol
per person
per year)
Prevalence of
smoking any
tobacco product
among adults
aged ≥15 years j
(%)
Prevalence of
current tobacco
use among
adolescents aged
13–15 years k
(%)
Male
Male
2008
2009
Female
Female
MDG 6
Prevalence of
Population
condom use
aged 15–24
by adults aged
years with
15–49 years comprehensive
during highercorrect
risk sex l
knowledge of
HIV/AIDS m
(%)
(%)
Member State
Male Female Male Female
2005–2010
2005–2011
2005–2011
4.7
4.1
17.0
13.1
0.7
1.3
0.0
8
1
3
2
7
7
15
4
9.9
9.5
34.6
28.3
14.9
22.1
6.0
32
8
21
14
27
27
34
28
Minimum
Median
25.5
31.9
50.3
42.4
67.5
74.7
23.0
71
50
66
54
74
66
55
59
Maximum
8.3
9.2
38.1
35.5
5.3
11.1
…
17
3
20
13
…
…
34
28
African Region
11.5
9.9
26.3
19.7
23.5
29.7
…
26
16
23
21
…
…
…
…
Region of the Americas
9.9
9.8
25.4
24.2
1.7
3.7
…
30
5
21
8
…
…
36
20
South-East Asia Region
9.6
8.0
33.1
25.6
20.4
23.1
…
41
22
20
15
…
…
…
…
European Region
11.0
11.6
30.7
29.1
13.0
24.5
…
33
4
17
9
…
…
…
…
Eastern Mediterranean Region
9.2
8.6
28.7
23.7
5.1
6.8
…
51
4
10
6
…
…
…
…
Western Pacific Region
8.2
8.4
32.9
29.9
2.6
5.1
…
30
4
16
11
…
…
35
31
Low income
9.8
9.8
28.7
26.0
4.7
8.4
…
39
4
17
8
…
…
36
22
Lower middle income
10.4
10.3
35.3
28.3
19.5
28.9
…
37
15
26
22
…
…
…
…
Upper middle income
10.0
7.1
24.8
17.4
21.8
21.6
…
32
19
17
13
…
…
…
…
High income
9.8
9.2
29.2
24.8
10.0
14.0
…
36
8
18
11
…
…
…
…
Global
i.
j.
k.
Global information system on alcohol and health. Geneva, World Health Organization,
2011 (http://apps.who.int/gho/data/view.main?showonly=GISAH). The figures
for 2008 have been produced by the projection of 2005 estimates. Definition of
indicator: total (sum of recorded and unrecorded) amount of alcohol consumed per
adult (15+ years) over a calendar year, in litres of pure alcohol. Recorded alcohol
consumption refers to official statistics (production, import, export, and sales or
taxation data), while the unrecorded alcohol consumption refers to alcohol which
is not taxed and is outside the usual system of governmental control. When the
number of yearly tourists is greater than or equal to the number of inhabitants, the
tourist consumption is deducted from the country’s recorded consumption.
WHO report on the global tobacco epidemic, 2011: warning about the dangers of
tobacco. Geneva, World Health Organization, 2011 (http://www.who.int/tobacco/
global_report/2011/en/). See Appendix VII: Age-standardized prevalence estimates
for smoking, 2009. Definition of indicator: smoking at the time of the survey of
any form of tobacco, including cigarettes, cigars, pipes, bidis, etc. and excluding
smokeless tobacco. These figures represent age-standardized prevalence rates
for smoking tobacco and should only be used to draw comparisons of prevalence
between countries, and between men and women within a country. They should not
be used to calculate the number of smokers in a country, region or globally. Incomegroup aggregates are based on the 2011 World Bank list of economies.
WHO report on the global tobacco epidemic, 2011: warning about the dangers of
tobacco. Geneva, World Health Organization, 2011 (http://www.who.int/tobacco/
global_report/2011/en/). Data relate to tobacco use in any form in the 30 days prior to the
most recent Global Youth Tobacco Survey (http://www.who.int/tobacco/surveillance/
gyts/en/). Data from other youth surveys are excluded for comparability reasons.
Income-group aggregates are based on the 2011 World Bank list of economies.
117
l.
Percentage of women and men aged 15–49 years who had more than one sexual
partner in the past 12 months reporting the use of a condom during their last sexual
intercourse. Data compiled from Demographic and Health Surveys, January 2013
(http://www.measuredhs.com).
m.
Percentage of women and men aged 15–24 years who both correctly identify ways
of preventing the sexual transmission of HIV and reject major misconceptions about
HIV transmission. Data compiled from Demographic and Health Surveys, January
2013 (http://www.measuredhs.com).
n.
No country data available. Estimate modelled using data from other countries and
specific country characteristics.
o.
Subnational data.
p.
For high-income countries with a Gross National Income (GNI) of more than
US$ 12 276 per capita in any given year, as classified by the World Bank (http://
data.worldbank.org/about/country-classifications, accessed 12 January 2012)
solid fuel use is assumed to be less than 5%. Rehfuess EA, Mehta S, Pruss-Ustun
A. Assessing Household Solid Fuel Use – Multiple Implications for the Millennium
Development Goals. Environmental Health Perspectives, 2006, 114(3):373–378.
q.
No solid fuel use information was available for the country, and population-weighted
regional means were used. Estimates in countries without survey data should be
interpreted with caution, and provide indicative values only.
r.
Data refer to children at 6 months. Breastfeeding Report Card 2012, United
States: Outcome Indicators. Atlanta, United States CDC (http://www.cdc.gov/
breastfeeding/data/reportcard2.htm).
Table 5
Prevalence of
raised fasting
blood glucose
among adults
aged ≥ 25 years f
(%)
6. Health systems
Table 6 presents data on the resources available to health systems, such as workforce (physicians,
nurses and midwives, other health-care workers); infrastructure (hospitals, and hospital and psychiatric beds); medical technologies and devices (radiotherapy and computed tomography units);
and access to essential medicines.29 Such data are essential in enabling governments to determine
how best to meet the health-related needs of their populations. For example, mental health services depend primarily on trained human resources such as mental health specialists (for example,
psychiatrists), psychosocial workers (for example, psychologists) and non-specialist health workers
such as primary care staff. The density of psychiatrists is the most widely available and reliable
indicator of the human resources available to mental health services, and provides a crude proxy of
mental health system capacity.
Estimates of health personnel densities refer to the active health workforce – i.e. those currently
participating in the health labour market. Data are derived from multiple sources, including national
population censuses, labour-force and employment surveys, health-facility assessments and routine
administrative information systems.30 Due to the wide diversity of available information sources,
there is considerable variability in the coverage and quality of data. Figures may be under-estimated
or over-estimated where it is not possible to determine whether or not they include health workers
in the private sector, or to identify the double counting of health workers holding two or more jobs
at different locations. In addition, health service providers may be working outside the health-care
sector, working in unpaid and/or unregulated conditions, or not currently engaged in the national
health labour market.
The density of hospital beds can be used to indicate the availability of inpatient services. Statistics
on hospital-bed density are generally drawn from routine administrative records but in some settings only public-sector beds are included. The density of psychiatric beds provides an estimate
of national capacity to treat serious mental disorders that require brief or extended inpatient care.
The density of psychiatric beds in any country should be interpreted alongside other resources for
mental health care, since beds very often account for a high proportion of all the resources allocated
to mental health care.
Medical devices are indispensable in the prevention, diagnosis or treatment of a disease and in
rehabilitation and palliative care. As essential basic equipment is still not available everywhere, a
United Nations Commission on Life Saving Commodities will be addressing the availability of basic
neonatal resuscitation units along with 13 other commodities. At present, the density of computed
tomography scanners and radiotherapy equipment acts as an indicator of the availability of expensive high-end equipment for diagnostic imaging and cancer radiotherapy.
29.
MDG 8; Target 8.E: In cooperation with pharmaceutical companies, provide access to affordable essential drugs in
developing countries.
30.
These include registries on public expenditure, staffing and payroll, as well as records of professional training,
registration and licensure.
118
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Table 6
Data on the availability of medicines are poor in most developing countries. However, data on the
availability and consumer prices for selected generic medicines have been derived from surveys
conducted using WHO/Health Action International (HAI) standard methods between 2001 and
2012. In individual surveys, availability is reported as the percentage of medicine outlets in which a
medicine was found on the day of data collection. As baskets of medicines differ by country, results
are not strictly comparable across countries. The consumer price ratio is an expression of how much
more – or less – the local medicine price is than the international reference price.
119
6. Health systems
Member State
Health workforce
Physicians a
Nursing and
midwifery
personnel a.b
Dentists a
Pharmacists a
Environment and
public health
professionals a
Community
health workers a
Psychiatrists c
per 10 000 population
2005–2012
Afghanistan
1.9
…
<0.05
0.4 h
…
…
<0.05
Albania
11.1
39.0
3.3
4.3
…
…
0.2
Algeria
12.1
19.5
3.1
2.2
…
…
0.2
Andorra
39.1
45.7
7.5
11.5
…
…
0.7
Angola
1.7
16.6
…
…
…
…
<0.05
Antigua and Barbuda
…
…
…
…
…
…
0.1
Argentina
…
…
…
…
…
…
…
Armenia
28.5
49.2
4.2
0.4
…
…
0.4
Australia
38.5
95.9
6.9
11.7 h
…
0.5
1.3
Austria
48.6
79.7
5.6
6.8
…
…
2.0
Azerbaijan
33.8
68.4
2.6
2.4
…
…
0.5
Bahamas
28.2
41.4
2.4
4.1
…
…
…
Bahrain
14.9
38.6
1.5
2.5
…
…
0.8
Bangladesh
3.6
2.2
0.3
0.6
0.1
3.3
<0.05
Barbados
18.1
48.6
…
…
…
…
0.4
Belarus
37.6
105.3
5.4
3.1
…
…
0.9
Belgium
37.8
222.1
7.9
15.6
…
…
…
Belize
8.3
19.6
0.4
3.9
2.1
5.4
0.1
Benin
0.6
7.7
<0.05
<0.05
0.2
…
<0.05
Bhutan
0.7
2.9
<0.05
0.2 h
…
0.9
<0.05
Bolivia (Plurinational State of)
…
…
…
…
…
…
0.1
Bosnia and Herzegovina
16.9
51.7
2.0
0.9
…
…
0.5
Botswana
3.4
28.4
…
…
…
5.2
<0.05
Brazil
17.6
64.2
11.7
5.4
…
…
0.3
Brunei Darussalam
13.6
70.2
2.1
1.0
…
…
<0.05
Bulgaria
37.6
47.1
8.5
…
…
…
0.7
Burkina Faso
0.5
5.7
<0.05
0.1
<0.05
1.3
<0.05
<0.05
Burundi
…
…
…
0.1 h
…
…
Cambodia
2.3
7.9
0.2
1.0 h
…
…
<0.05
Cameroon
0.8
4.4
<0.05
<0.05
…
…
<0.05
Canada
20.7
104.3
5.9
10.1 h
0.4
…
1.3
Cape Verde
3.0
4.5
0.1
0.1
…
…
0.1
Central African Republic
0.5
2.6
<0.05
<0.05
…
4.0
<0.05
Chad
0.4
1.9
…
…
…
…
<0.05
Chile
10.3
1.4
<0.05
<0.05
…
…
0.6
China
14.6
15.1
…
2.6
…
8.1
0.1
Colombia
14.7
6.2
9.2
…
…
…
…
Comoros
…
…
…
…
…
…
<0.05
<0.05
Congo
1.0
8.2
…
0.1
<0.05
…
Cook Islands
28.9
64.4
2.2
0.6
0.6
5.0
…
Costa Rica
…
…
…
8.0 h
…
…
0.2
Côte d'Ivoire
1.4
4.8
0.1
0.2
…
…
<0.05
Croatia
27.2
55.2
7.0
7.0 h
…
…
1.0
Cuba
67.2
90.5
16.3
…
…
…
1.1
Cyprus
27.5
44.5
8.8
2.1
1.1
…
0.7
Czech Republic
37.1
87.9
7.2
7.6 h
…
…
1.2
Democratic People's Republic of Korea
…
…
…
…
…
…
…
Democratic Republic of the Congo
…
…
…
<0.05 h
…
…
<0.05
Denmark
34.2
160.9
8.1
4.6
…
…
1.4
120
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
per 100 000
population
2010
Hospital beds e
Psychiatric
beds c
per 10 000 population
2005–2012
2005–2010
Computed
tomography
units d
Radiotherapy
units d
per million population
2010
2010
Essential medicines
MDG 8
Median consumer price
Median availability of
ratio of selected generic
selected generic medicines f
medicines g
(%)
Public
Private
Public
Member State
Private
2001–2012
0.4 i
4
0.1
0.2
<0.05
…
…
…
…
Afghanistan
1.3
24
2.1
5.3
0.3
…
…
…
…
Albania
…
…
1.4
…
0.5 j
…
…
…
…
Algeria
…
25
1.4
…
…
…
…
…
…
Andorra
…
…
0.5
0.1 i
…
…
…
…
Angola
21
12.4
22.5
…
…
…
…
…
Antigua and Barbuda
…
45
2.8
…
2.8 j
…
…
…
…
Argentina
3.9
39
4.8
2.9
1.3
…
…
…
3.4
Armenia
…
39
3.9
…
…
1.1
i
4.2 i
…
…
…
…
Australia
i
5.5 i
Austria
…
76
4.0
28.8
…
…
…
…
8.2 i
46
4.3
1.1i
1.6 i
…
…
…
…
Azerbaijan
1.2
31
…
14.6
2.9
…
…
…
…
Bahamas
…
18
2.8
…
…
…
…
…
…
Bahrain
0.2
6
0.1
…
0.1 j
…
…
…
…
Bangladesh
1.1
66
21.2
7.3i
3.7 i
…
…
…
…
Barbados
7.3 i
111
6.3
6.0i
3.0 i
…
…
…
…
Belarus
…
65
…
…
9.0 j
…
…
…
…
Belgium
2.2
11
0.1
12.8
<0.05
…
…
…
…
Belize
0.5 i
5
0.2
0.3
<0.05
…
…
…
…
Benin
1.8 i
18
…
1.4
<0.05
…
…
…
…
Bhutan
1.1
11
…
…
0.6 j
31.9
86.7
3.5
4.5
Bolivia (Plurinational State of)
1.0
35
2.4
13.8
2.4
…
…
…
…
Bosnia and Herzegovina
1.3 i
18
2.2
1.0i
<0.05 i
…
…
…
…
Botswana
0.0 k
76.7 k
…l
11.3 k
Brazil
…
…
…
…
Brunei Darussalam
…
23
1.9
…
1.8 j
1.5
28
1.0
7.5
…
…
65
6.9
…
2.0 j
…
…
…
…
Bulgaria
1.1
4
…
0.2
<0.05
87.1
72.1
2.2
2.9
Burkina Faso
0.6 i
19
…
0.2
<0.05
…
…
…
…
Burundi
0.6 i
7
<0.05
1.3
0.1
…
…
…
…
Cambodia
0.9
13
0.1
0.7
0.2
60.0
52.5
2.2
13.6
Cameroon
2.3 i
32
…
14.2
8.7 j
…
…
…
…
Canada
1.0
21
0.9
2.0
<0.05
…
…
…
…
Cape Verde
0.5
10
0.1
<0.05
<0.05
…
…
…
…
Central African Republic
0.7
…
0.0
0.1m
…
31.3
13.6
3.9
15.1
Chad
1.1 i
20
0.5
13.0
0.9 i
…
…
…
…
Chile
…
39
1.4
…
1.1 j
15.5 n
13.3 n
1.6 n
1.4 n
China
…
14
…
…
1.4 j
86.7
87.9
…l
3.1
Colombia
0.7 i
…
0.0
1.4
<0.05
…
…
…
…
Comoros
…
…
…
…
<0.05 j
21.2
31.3
6.5
11.5
Congo
…
63
…
…
…
…
…
…
…
Cook Islands
0.8
12
2.3
3.0
1.7
…
…
…
…
Costa Rica
1.8
…
…
0.7
<0.05
…
…
…
…
Côte d'Ivoire
1.5 i
56
9.6
14.5
3.0
…
…
…
…
Croatia
2.0
51
6.8
4.8
1.2
…
…
…
…
Cuba
35
2.2
21.7
2.7
…
…
…
…
Cyprus
1.3
70
10.5
13.2
5.0
…
…
…
…
Czech Republic
7.0 i
132
…
…
0.2 j
…
…
…
…
Democratic People's Republic of Korea
0.5 i
…
…
0.1
<0.05
55.6
65.4
2.0
2.3
Democratic Republic of the Congo
1.0 i
35
…
24.1
9.7
…
…
…
…
Denmark
i
7.8
i
121
Table 6
Infrastructures and technologies
Hospital d
6. Health systems
Member State
Health workforce
Physicians a
Nursing and
midwifery
personnel a.b
Dentists a
Pharmacists a
Environment and
public health
professionals a
Community
health workers a
Psychiatrists c
per 10 000 population
2005–2012
Djibouti
2.3
8.0
1.2
3.2
…
…
…
Dominica
…
…
…
…
…
…
0.3
Dominican Republic
…
…
…
…
…
…
0.1
Ecuador
16.9
19.8
2.4
0.5
…
…
0.1
Egypt
28.3
35.2
4.2
16.7
…
…
0.1
El Salvador
16.0
4.1
6.5
3.2
…
…
<0.05
Equatorial Guinea
…
…
…
…
…
…
…
Eritrea
…
…
…
…
…
…
<0.05
Estonia
33.4
65.6
9.3
11.2
…
…
1.4
Ethiopia
0.3
2.5
…
0.1
0.2
3.6
<0.05
Fiji
4.3
22.4
2.0
0.9
1.4
…
<0.05
Finland
29.1
239.6
7.6
11.0
…
…
2.8
France
33.8
93.0
6.4
11.5
…
…
2.2
Gabon
…
…
…
…
…
…
<0.05
Gambia
1.1
8.7
0.1
0.1
0.5
7.1
<0.05
Georgia
42.4
…
…
…
…
…
0.7
Germany
36.9
113.8
7.9
9.5
Ghana
0.9
10.5
<0.05
0.2
h
…
…
…
<0.05
1.9
<0.05
1.3
Greece
…
…
…
…
…
…
Grenada
6.6
38.3
1.8
8.5 h
7.0
…
0.2
Guatemala
9.3
…
1.8
…
…
…
0.1
Guinea
1.0
…
…
…
…
…
<0.05
Guinea-Bissau
0.7
5.9
<0.05
0.1
<0.05
…
…
Guyana
2.1
5.3
0.2
0.2
…
3.3
0.1
Haiti
…
…
…
…
…
…
<0.05
Honduras
3.7
10.8
…
…
…
…
0.1
Hungary
34.1
64.2
5.3
5.8
…
…
0.7
Iceland
34.6
…
9.7
11.7
1.8
…
2.0
India
6.5
10.0
0.8
5.4 h
…
0.5
<0.05
Indonesia
2.0
13.8
0.4
1.0
1.8
…
<0.05
Iran (Islamic Republic of)
8.9
14.1
…
2.0
Iraq
6.1
…
1.5
1.7
Ireland
…
…
…
10.6 h
…
…
0.6
Israel
31.1
49.7
8.7
8.5
…
…
0.8
Italy
38.0
…
…
…
…
…
0.8
Jamaica
4.1
10.9
0.2
0.4
1.7
2.7
0.1
Japan
21.4
41.4
7.4
21.5
h
…
…
1.0
Jordan
25.6
40.5
9.0
21.4 h
…
…
0.1
Kazakhstan
38.4
82.8
3.9
8.3
…
…
0.6
Kenya
1.8
7.9
0.2
0.5 h
…
…
<0.05
Kiribati
3.8
37.1
1.7
2.1
1.2
…
…
Kuwait
17.9
45.5
3.5
3.0
…
…
0.3
Kyrgyzstan
24.7
58.2
1.9
1.9
…
…
0.4
h
…
…
0.1
…
…
<0.05
Lao People's Democratic Republic
1.9
8.2
0.4
…
…
…
…
Latvia
29.0
48.6
6.6
6.4
…
…
1.1
Lebanon
35.4
22.3
13.3
12.3
…
…
0.1
Lesotho
…
…
…
…
…
…
<0.05
Liberia
…
2.7
<0.05
<0.05
0.1
…
<0.05
Libya
19.0
68.0
6.0
3.6
…
…
…
122
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
per 100 000
population
2010
Hospital beds e
Psychiatric
beds c
per 10 000 population
2005–2012
2005–2010
Computed
tomography
units d
Radiotherapy
units d
per million population
2010
Essential medicines
MDG 8
Median consumer price
Median availability of
ratio of selected generic
selected generic medicines f
medicines g
(%)
Public
Private
2010
Public
Member State
Private
2001–2012
…
14
…
…
…
…
…
…
…
Djibouti
5.9
38
…
14.8
<0.05
…
…
…
…
Dominica
Dominican Republic
…
17
0.3
…
1.0 j
…
…
…
…
0.4 i
16
1.2
1.7i
0.1 i
41.7
71.7
…l
5.0
Ecuador
0.6 i
17
1.0
…
0.7 j
…
…
…
…
Egypt
0.5 i
10
0.1
3.7
0.8
53.8
69.2
…l
28.3
El Salvador
…
21
…
…
…
…
…
…
…
Equatorial Guinea
0.4
7
…
0.4
<0.05
…
…
…
…
Eritrea
1.9 i
53
…
14.9
2.2
…
…
…
…
Estonia
0.2
63
<0.05
0.3
<0.05
…
…
…
…
Ethiopia
…
21
1.6
3.5
<0.05
…
75.0
…
2.7
Fiji
1.4
58
7.6
20.3i
7.5 i
…
…
…
…
Finland
…
66
9.5
…
6.8 j
…
…
…
…
France
3.9
63
0.8
4.0
0.7
…
…
…
…
Gabon
0.8 i
11
0.6
1.2
<0.05 m
…
…
…
…
Gambia
2.2
29
2.9
8.7
1.4
…
…
…
…
Georgia
…
82
…
…
Germany
1.4
9
0.7
0.2
…
48
2.4
1.0
35
0.4 i
7
0.4
3
63.5
6.4 j
…
…
…
…
0.1 i
17.9
44.6
2.4
3.8
Ghana
…
4.2 j
…
…
…
…
Greece
…
19.1
<0.05
…
…
…
…
Grenada
0.3
…
0.8 j
…
…
…
…
Guatemala
0.1
<0.05i
<0.05 i
…
…
…
…
Guinea
…
…
<0.05
<0.05
…
…
…
…
Guinea-Bissau
3.6
20
3.2
4.0m
1.3 m
…
…
…
…
Guyana
0.3
…
0.2
0.3
<0.05 j
17.6
54.3
4.8
7.3
Haiti
0.4 i
7
0.5
2.2
0.8
…
…
…
…
Honduras
1.0 i
72
7.5
6.6
1.8
…
…
…
…
Hungary
3.7 i
58
4.3
40.6
6.2
…
…
…
…
Iceland
…
9
0.2
…
0.4 j
22.1
76.8
…l
1.9 o
India
0.4
6
…
…
0.1 j
65.5
57.8
1.8
2.0
Indonesia
…
17
0.9
…
1.0
13
…
i
m
0.4 j
96.7
96.7
1.3
1.3
Iran (Islamic Republic of)
0.5
2.4
i
0.2 i
…
…
…
…
Iraq
31
7.4
4.7i
4.0 i
…
…
…
…
Ireland
0.6
34
4.7
7.8
3.5
…
…
…
…
Israel
2.1
35
1.1
…
6.5 j
…
…
…
…
Italy
0.8 i
18
1.8
1.5i
1.1
…
…
…
…
Jamaica
…
137
27.8
101.7
7.2 j
…
…
…
…
Japan
2.3
18
…
6.5
1.0
27.8
80.0
0.9
10.5
Jordan
3.6
76
6.3
1.5i
1.4 i
0.0
70.0
4.8
3.7
Kazakhstan
1.6
14
…
0.3
<0.05
37.7
72.4
2.0
3.3
Kenya
…
13
…
<0.05
<0.05
…
…
…
…
Kiribati
…
20
3.3
…
1.5 j
12.0
0.0
…l
15.7
Kuwait
2.7 i
48
3.5
0.9
…
…p
70.0
…p
3.4
Kyrgyzstan
i
7
<0.05
0.8
<0.05
…
…
…
…
Lao People's Democratic Republic
1.4 i
53
12.2
…
4.9 j
…
…
…
…
Latvia
3.5
35
4.1
28.6
2.1
0.0
83.8
…l
6.1
Lebanon
…
…
0.3
…
…
…
…
…
…
Lesotho
2.4
0.4 i
8
…
…
<0.05 j
…
…
…
…
Liberia
2.6
37
…
9.4
0.9
…
…
…
…
Libya
123
Table 6
Infrastructures and technologies
Hospital d
6. Health systems
Member State
Health workforce
Physicians a
Nursing and
midwifery
personnel a.b
Dentists a
Pharmacists a
Environment and
public health
professionals a
Community
health workers a
Psychiatrists c
per 10 000 population
2005–2012
Lithuania
36.4
70.6
7.3
7.4 h
…
…
1.8
Luxembourg
27.8
171.0
8.1
7.6
…
…
2.1
Madagascar
1.6
…
<0.05
…
…
…
<0.05
Malawi
0.2
3.4
…
0.2
0.2
7.3
<0.05
Malaysia
12.0
32.8
1.4
3.1 h
…
…
0.1
Maldives
16.0
44.5
0.1
8.2
…
13.8
0.2
Mali
0.8
4.3
<0.05
0.1
0.1
0.1
<0.05
Malta
32.3
70.6
4.5
8.0
…
…
0.3
Marshall Islands
4.4
17.4
1.6
1.5
1.5
…
0.2
Mauritania
1.3
6.7
0.2
0.2
0.1
…
<0.05
Mauritius
…
…
…
…
…
…
0.2
Mexico
19.6
…
…
…
…
…
0.2
Micronesia (Federated States of)
1.8
33.2
1.2
…
3.5
2.7
0.1
Monaco
70.6
172.2
10.7
26.3
…
…
3.6
Mongolia
27.6
35.0
1.9
4.0
…
0.2
0.1
Montenegro
20.3
55.1
0.5
1.5
…
…
0.7
Morocco
6.2
8.9
0.8
2.7
…
…
0.1
Mozambique
0.3
3.4
…
0.2
…
…
<0.05
Myanmar
5.0
8.6
0.5
…
…
0.6
<0.05
Namibia
3.7
27.8
0.4
1.2
0.7
…
<0.05
Nauru
7.1
70.7
0.7
0.7
7.1
2.1
<0.05
Nepal
…
…
…
0.4 h
…
…
<0.05
Netherlands
…
…
…
3.1 h
…
…
1.9
New Zealand
27.4
108.7
4.6
10.1
…
…
1.0
Nicaragua
…
…
…
…
…
…
0.1
Niger
0.2
1.4
<0.05
<0.05
0.1
…
<0.05
Nigeria
4.0
16.1
0.2
1.0 h
0.3
1.4
<0.05
Niue
60.0
160.0
20.0
10.0
20.0
…
<0.05
Norway
41.6
319.3
9.1
…
…
…
3.1
Oman
20.5
44.9
2.3
4.4
0.8
…
0.2
h
Pakistan
8.1
5.6
0.6
…
…
0.6
<0.05
Palau
13.8
57.1
2.5
0.5
…
…
0.5
Panama
…
…
…
…
…
…
…
Papua New Guinea
0.5
4.6
…
0.5 h
…
6.2
<0.05
Paraguay
…
…
…
…
…
…
0.1
Peru
9.2
12.7
1.2
0.6
<0.05
…
0.1
Philippines
…
…
…
6.2
…
…
<0.05
Poland
20.7
54.0
3.2
6.6
…
…
0.5
Portugal
…
…
…
7.2
…
…
…
Qatar
27.6
73.7
5.8
12.6
…
…
0.2
Republic of Korea
20.2
52.9
5.0
12.6 h
…
…
0.5
Republic of Moldova
36.4
65.0
4.7
5.3
…
…
0.5
Romania
23.9
54.6
6.1
6.5 h
…
…
0.6
Russian Federation
43.1
85.2
3.2
0.8
…
…
1.2
Rwanda
0.6
6.9
0.1
<0.05
0.1
…
<0.05
Saint Kitts and Nevis
…
…
…
…
…
…
0.2
Saint Lucia
…
…
…
…
…
…
0.2
Saint Vincent and the Grenadines
…
…
…
…
…
…
0.2
Samoa
4.8
18.5
0.9
0.9
1.2
…
0.1
124
h
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
per 100 000
population
2010
Hospital beds e
Psychiatric
beds c
per 10 000 population
2005–2012
2005–2010
Computed
tomography
units d
Radiotherapy
units d
per million population
2010
Essential medicines
MDG 8
Median consumer price
Median availability of
ratio of selected generic
selected generic medicines f
medicines g
(%)
Public
Private
2010
Public
Member State
Private
2001–2012
2.8
68
…
18.1
3.9
…
…
…
…
Lithuania
1.2
54
9.0
19.7
3.9
…
…
…
…
Luxembourg
0.5
2
0.1
0.1
<0.05
…
…
…
…
Madagascar
0.4 i
13
…
0.3
<0.05
…
…
…
…
Malawi
0.5 i
18
1.8
6.7
1.5
25.0
43.8
…l
6.6
Malaysia
7.3
43
0.0
6.3
<0.05
…
…
…
…
Maldives
0.5 i
1
0.1
0.2i
0.1
81.0
70.0
1.8
5.4
Mali
1.0
44
14.5
9.6
4.8
…
…
…
…
Malta
3.7
27
0.0
18.5
<0.05
…
…
…
…
Marshall Islands
Mauritania
1.2
…
…
1.7
0.3 j
…
…
…
…
0.9 i
34
5.5
6.2
2.3
88.8
70.0
…l
5.9
Mauritius
3.8
17
0.4
3.9
0.6
46.2 q
50.0 q
…l
4.7 q
Mexico
0.9
32
0.0
<0.05
<0.05
…
…
…
…
Micronesia (Federated States of)
11.3
165
17.3
141.2
28.2
…
…
…
…
Monaco
2.6
67
…
8.3
0.7 i
100.0
80.0
2.6
4.2
Mongolia
2.1
40
5.8
9.5
1.6 i
…
…
…
…
Montenegro
…
11
0.7
1.3i
0.4 i
0.0
57.5
…l
9.8
Morocco
…
7
0.2
…
…
…
…
…
…
Mozambique
0.7 i
6
…
0.1i
0.1 i
…
…
…
…
Myanmar
1.9
…
0.8
4.8
0.4
…
…
…
…
Namibia
9.8 i
50
2.0
…
<0.05 j
…
…
…
…
Nauru
0.4 i
50
0.2
…
0.2 j
…
…
…
…
Nepal
0.8 i
47
13.1
12.3
7.3
…
…
…
…
Netherlands
New Zealand
…
23
2.1
15.8
7.1
…
…
…
…
1.0
11
…
0.5i
0.3 i
50.0
87.1
…l
5.7
Nicaragua
0.6
…
0.1
0.2
<0.05
…
…
…
…
Niger
…
…
…
…
0.1 j
26.2
36.4
3.5
4.3
Nigeria
…
52
0.0
…
…
…
…
…
…
Niue
…
33
…
…
7.8 j
…
…
…
…
Norway
1.8 i
18
0.3
8.6
0.7
96.7
70.3
…l
7.4
Oman
0.6
6
0.3
0.4
0.1
3.3
31.3
…l
2.3
Pakistan
…
48
3.9
…
…
…
…
…
…
Palau
1.0
24
…
10.5
1.7
…
…
…
…
Panama
1.7
…
0.2
0.4
0.1
…
…
…
…
Papua New Guinea
2.6 i
13
0.5
1.1
0.6
…
…
…
…
Paraguay
…
15
…
…
1.1 j
61.5
60.9
1.4
5.6
Peru
Philippines
1.9
5
…
1.1
0.2
15.4
26.5
6.4
5.6
0.9 i
66
5.4
10.6i
2.7 i
…
…
…
…
Poland
…
33
…
27.3
4.0
…
…
…
…
Portugal
…
12
0.4
10.2
1.1
…
…
…
…
Qatar
3.5
103
19.1
36.2
3.1 m
…
…
…
…
Republic of Korea
2.0
62
5.9
2.2i
0.6 i
46.0
56.0
5.2
4.7
Republic of Moldova
1.7 i
63
7.5
5.5
1.2
…
…
…
…
Romania
…
97
11.1
…
2.3 j
100.0 r
100.0 r
2.7 r
4.1 r
Russian Federation
…
…
0.4
…
…
…
…
…
…
Rwanda
7.6
48
2.3
19.1
<0.05
…
…
…
…
Saint Kitts and Nevis
1.7
16
…
11.5
<0.05
…
…
…
…
Saint Lucia
…
27
…
<0.05
<0.05
…
…
…
…
Saint Vincent and the Grenadines
4.4
10
0.0
5.5
<0.05
…
…
…
…
Samoa
125
Table 6
Infrastructures and technologies
Hospital d
6. Health systems
Member State
Health workforce
Physicians a
Nursing and
midwifery
personnel a.b
Dentists a
Pharmacists a
Environment and
public health
professionals a
Community
health workers a
Psychiatrists c
per 10 000 population
2005–2012
San Marino
48.8
83.2
…
7.3
…
…
1.6
Sao Tome and Principe
…
…
…
…
…
…
0.1
Saudi Arabia
9.4
21.0
2.3
0.6
…
…
0.3
Senegal
0.6
4.2
0.1
0.1
0.1
…
<0.05
Serbia
21.1
…
2.3
2.1
…
…
1.0
Seychelles
…
…
…
…
…
…
0.2
Sierra Leone
0.2
1.7
<0.05
0.1
0.3
0.2
<0.05
Singapore
19.2
63.9
3.3
3.9 h
…
…
0.3
Slovakia
30.0
…
5.0
4.7
…
…
1.1
Slovenia
25.4
86.1
6.4
5.6
…
…
0.7
Solomon Islands
2.2
20.5
1.0
1.0
…
…
…
Somalia
0.4
1.1
…
0.1
…
…
<0.05
South Africa
7.6
…
1.2
2.5 h
0.6
…
<0.05
South Sudan
…
…
…
…
…
…
…
Spain
39.6
…
…
9.2
…
…
0.9
Sri Lanka
4.9
19.3
0.8
0.4
0.3
…
<0.05
Sudan
…
…
…
…
…
…
…
Sudan (former)
2.8
8.4
0.2
0.1
0.8
…
<0.05
Suriname
…
…
…
…
…
…
0.1
Swaziland
1.7
16.0
0.6
0.2
1.1
…
<0.05
Sweden
38.7
…
8.2
7.6
…
…
0.4
Switzerland
40.8
174.9
5.6
5.8
…
…
4.1
Syrian Arab Republic
15.0
18.6
7.9
8.1
…
…
<0.05
Tajikistan
19.0
44.8
1.8
…
…
…
0.1
Thailand
…
…
…
…
…
…
<0.05
The former Yugoslav Republic of Macedonia
26.2
…
7.0
9.9 h
…
…
1.0
Timor-Leste
…
…
…
…
…
…
<0.05
Togo
0.5
2.7
<0.05
<0.05
<0.05
…
<0.05
Tonga
5.6
38.8
1.1
0.9 h
2.4
…
0.2
Trinidad and Tobago
11.8
35.6
2.2
4.9
…
…
0.2
Tunisia
12.2
32.8
2.9
3.0
…
…
0.2
Turkey
17.1
24.0
2.9
…
2.5
…
0.2
Turkmenistan
…
…
…
…
…
…
…
Tuvalu
10.9
58.2
1.8
0.9
10.9
…
…
Uganda
1.2
13.1
…
0.2 h
…
…
<0.05
Ukraine
35.2
64.1
6.7
…
…
…
1.0
United Arab Emirates
19.3
40.9
4.3
5.9
…
…
<0.05
United Kingdom
27.7
94.7
5.3
6.7
…
…
1.5
United Republic of Tanzania
0.1
2.4
<0.05
<0.05
…
…
<0.05
United States of America
24.2
98.2
…
8.8 h
…
…
0.8
Uruguay
37.4
55.5
7.0
…
…
…
1.7
Uzbekistan
25.4
106.8
1.8
0.4
…
…
0.3
Vanuatu
1.2
17.0
0.1
0.1
0.5
9.5
<0.05
Venezuela (Bolivarian Republic of)
…
…
…
…
…
…
…
Viet Nam
12.2
10.1
…
0.7
…
…
0.1
Yemen
2.0
6.8
0.2
0.4
0.1
<0.05
…
Zambia
…
7.8
0.2
0.2 h
0.9
3.1
<0.05
Zimbabwe
0.6
12.5
0.1
0.5 h
0.9
…
<0.05
126
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
per 100 000
population
2010
Hospital beds e
Psychiatric
beds c
per 10 000 population
2005–2012
Computed
tomography
units d
Radiotherapy
units d
per million population
2005–2010
2010
2010
Essential medicines
MDG 8
Median consumer price
Median availability of
ratio of selected generic
selected generic medicines f
medicines g
(%)
Public
Private
Public
Member State
Private
2001–2012
3.2 i
39
…
31.7
<0.05
…
…
…
…
San Marino
…
29
3.6
…
…
56.3
22.2
2.4
13.8
Sao Tome and Principe
1.1 i
22
1.2
4.0i
0.1 i
…
…
…
…
Saudi Arabia
0.2
i
…
0.3
0.4
0.1 i
…
…
…
…
Senegal
1.1 i
…
…
13.2
1.4
…
…
…
…
Serbia
1.2 i
36
…
11.6i
…
…
…
…
…
Seychelles
…
…
0.3
0.3
<0.05 j
…
…
…
…
Sierra Leone
0.5
27
4.2
9.4
3.7
…
…
…
…
Singapore
1.5 i
64
6.9
…
4.8 j
…
…
…
…
Slovakia
0.6
46
7.7
12.3
…
13
…
…
i
i
i
3.4 i
…
…
…
…
Slovenia
…
…
…
…
…
Solomon Islands
Somalia
…
…
0.6
…
…
…
…
…
…
0.7 i
…
2.2
1.0i
0.6 i
…
71.7 s
…
6.5 s
South Africa
…
…
…
…
…
…
…
…
…
South Sudan
1.7
32
4.3
14.1
4.2
…
…
…
…
Spain
…
36
0.9
1.2
0.1
…
…
…
1.1
Sri Lanka
…
…
…
51.7 t
77.1 t
4.4 t
4.7 t
Sudan
7
0.1
1.0
0.2
…
…
…
…
Sudan (former)
0.4
31
5.7
7.6
3.8
…
…
…
…
Suriname
0.8
21
1.3
2.5
<0.05
…
…
…
…
Swaziland
…
27
3.5
…
8.3 j
…
…
…
…
Sweden
…
50.0
…
…
9.8 j
…
…
…
…
Switzerland
…
15
0.6
…
0.3 j
…p
98.2
…p
2.5
Syrian Arab Republic
75.0
85.0
2.4
2.3
Tajikistan
75.0
28.6
2.6
3.3
Thailand
…
1.2
i
55
2.1
0.2
0.1 i
1.8
21
1.3
5.8
0.9
…
46
6.4
…
1.5 j
…
…
…
…
The former Yugoslav Republic of Macedonia
…
59
…
…
…
…
…
…
…
Timor-Leste
0.7 i
7
0.2
0.8
…
…
…
…
…
Togo
3.8 i
26
2.1
<0.05
<0.05
…
…
…
…
Tonga
…
21.0
7.7
3.0i
3.0
…
…
…
…
Trinidad and Tobago
5.6
i
2.4
21
0.9
9.4
1.7
64.3
95.1
…l
6.8
Tunisia
1.6
25
1.0
15.0
2.1
…
…
…
…
Turkey
…
41
…
…
…
…
…
…
…
Turkmenistan
…
…
…
…
…
…
…
…
…
Tuvalu
0.4
5
0.3
0.3
0.1
20.0
80.0
…l
2.6
Uganda
…
87
9.4
…
2.2 j
88.6
91.4
3.7
3.0
Ukraine
…
19
0.2
…
0.8 j
61.1
73.9
…l
13.8
United Arab Emirates
…
…
…
…
United Kingdom
…
30.0
5.0
…
5.5 j
…
7
0.3
0.1
0.1 i
23.4
47.9
1.3
2.7
United Republic of Tanzania
…
30
3.4
…
12.8 j
…
…
…
…
United States of America
Uruguay
4.0 i
30
4.6
13.1
3.9
…
…
…
…
…
45
1.8
…
0.7 j
…
82.5
…
2.0
Uzbekistan
2.5
…
0.2
<0.05
<0.05
…
…
…
…
Vanuatu
…
9
…
…
2.3 j
…
…
…
…
Venezuela (Bolivarian Republic of)
…
22
1.8
…
0.4 j
…
…
…
…
Viet Nam
3.0
7.0
…
2.1
<0.05
5.0
90.0
1.1
3.5
Yemen
0.5
20
0.3
0.2
0.2
…
…
…
…
Zambia
0.6
17
1.0
0.5
0.5
…
…
…
…
Zimbabwe
127
Table 6
Infrastructures and technologies
Hospital d
6. Health systems
Member State
Health workforce
Physicians a
Nursing and
midwifery
personnel a.b
Dentists a
Pharmacists a
Environment and
public health
professionals a
Community
health workers a
Psychiatrists c
<0.05
<0.05
<0.05
per 10 000 population
2005–2012
Ranges of country values
Minimum
0.1
1.1
<0.05
<0.05
Median
14.2
33.2
2.2
2.2
0.6
2.7
0.1
Maximum
70.6
319.3
20.0
26.3
20.0
13.8
4.1
<0.05
WHO region
African Region
2.5
9.1
0.4
0.6
0.3
…
Region of the Americas
20.4
71.5
…
6.9
…
…
0.5
South-East Asia Region
5.5
9.9
0.7
4.2
…
0.8
<0.05
European Region
33.3
84.2
5.0
6.0
…
…
1.1
Eastern Mediterranean Region
10.8
15.9
1.9
5.2
…
…
0.1
Western Pacific Region
15.2
19.5
…
4.4
…
7.9
0.2
Low income
5.1
14.9
1.2
1.2
…
…
<0.05
Lower middle income
7.8
13.4
0.9
4.4
…
0.6
0.1
Upper middle income
17.8
35.4
…
3.6
…
…
0.2
High income
27.1
72.4
5.9
10.8
…
…
1.0
Global
13.9
29.0
2.6
4.4
…
…
0.3
Income group
a.
Source: WHO Global Health Workforce Statistics [http://who.int/hrh/statistics/
hwfstats/en/index.html]. Please see this source for the latest updates, disaggregated
health workforce statistics and metadata descriptors. In general, the denominator
data for health workforce density (i.e. national population estimates) were obtained
from the United Nations Population Division’s World population prospects database.
In some cases the official report provided only workforce density indicators, from
which estimates of the stock were calculated. For dentists, pharmacists and
environment and public health professionals, the associate professional level
occupations may not always be distinguishable from professional level occupations
due to variability of data sources. Community health workers include community
health officers, community health-education workers, community health aides,
family health workers, lady health visitors, health extension package workers and
related occupations, whenever available. Due to variability of data sources and
national occupation titles, the figures provided may not always be comparable or
comprehensive.
b.
Figures include nursing personnel and midwifery personnel, whenever available.
In many countries nurses trained with midwifery skills are counted and reported
as nurses. This makes the distinction between nursing personnel and midwifery
personnel difficult to achieve.
c.
Mental health atlas 2011. Geneva, World Health Organization, 2011 (http://www.
who.int/mental_health/publications/mental_health_atlas_2011/).
Income-group
aggregates are based on the 2011 World Bank list of economies.
d.
Data are derived from the WHO Baseline country survey on medical devices 2010
conducted between early 2010 and late 2011. Geneva, World Health Organization,
2011
(http://whqlibdoc.who.int/hq/2011/WHO_HSS_EHT_DIM_11.01_eng.pdf).
Densities were computed by adding both public-sector and private-sector data
unless otherwise noted. Hospitals include district, rural, provincial, specialized,
teaching and research hospitals. Radiotherapy units include Linear Accelerators and
Cobalt-60 units. Income-group aggregates are based on the 2011 World Bank list
of economies.
e.
PAHO/WHO Country Representative and National Authorities. Data provided by
Member States on basic indicators via an online data-entry tool. Washington DC,
2012. As of June 2012; European health for all database (HFA-DB). Copenhagen,
WHO Regional Office for Europe, 2011 (http://data.euro.who.int/hfadb/); Western
Pacific Country Health Information Profiles 2012–2013 Revision (forthcoming).
Manila, WHO Regional Office for the Western Pacific, 2010 (http://www.wpro.who.
int/hdb/Default.aspx); Regional Health Observatory. Cairo, WHO Regional Office
for the Eastern Mediterranean, 2011 (http://rho.emro.who.int/rhodata/); additional
data compiled as of January 2011 by the WHO Regional Office for Africa and the
WHO Regional Office for South-East Asia. Depending on the source and means
of monitoring, data may not be exactly comparable across countries. See above
sources for country-specific details.
f.
Surveys of medicine prices and availability using WHO/HAI standard methodology
conducted between 2001 and 2012 (available at: http://www.haiweb.org/
medicineprices/). In individual surveys, availability is reported as the percentage of
medicine outlets in which a medicine was found on the day of data collection. As
baskets of medicines differ by individual country, results are not exactly comparable
across countries. Median availability is determined for the specific list of medicines in
128
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
per 100 000
population
2010
0.2
Hospital beds e
Psychiatric
beds c
per 10 000 population
2005–2012
Computed
tomography
units d
Radiotherapy
units d
per million population
2005–2010
2010
2010
0.0
<0.05
<0.05
1
Essential medicines
MDG 8
Median consumer price
Median availability of
ratio of selected generic
selected generic medicines f
medicines g
(%)
Public
Private
Private
2001–2012
0.0
0.0
0.9
1.1
Minimum
1.2
27
1.5
3.8
0.7
46.0
70.2
2.4
4.4
Median
63.5
165
27.8
141.2
28.2
100.0
100.0
6.5
28.3
Maximum
0.9
…
0.6
0.4
0.1
…
…
…
…
African Region
…
24
2.3
…
5.4
…
…
…
…
Region of the Americas
…
11
0.3
…
0.3
…
…
…
…
South-East Asia Region
European Region
…
60
6.3
…
4.0
…
…
…
…
0.9
12
0.6
1.9
0.3
…
…
…
…
Eastern Mediterranean Region
…
44
3.9
…
1.6
…
…
…
…
Western Pacific Region
0.9
21
0.2
0.2
0.1
…
…
…
…
Low income
…
12
0.6
…
0.4
…
…
…
…
Lower middle income
…
37
2.2
…
1.3
…
…
…
…
Upper middle income
…
56
8.3
…
7.6
…
…
…
…
High income
…
30
2.5
…
1.8
…
…
…
…
Global
each survey, and does not account for alternate dosage forms or strengths of these
products or for therapeutic alternatives. Public-sector data may be limited by the fact
that the list of survey medicines may not correspond to national essential medicines
lists (EMLs) where these exist, and some public-sector facilities may not be expected to
stock all of the survey medicines. This has been addressed in the revised edition of the
survey tool, which allows public-sector data to be analysed by EML status and level of
care.
g.
Public
Member State
Surveys of medicine prices and availability using WHO/HAI standard methodology
conducted between 2001 and 2012 (available at: http://www.haiweb.org/
medicineprices/). Consumer price ratio = ratio of median local unit price to the
Management Sciences for Health (MSH) international reference price of selected
generic medicines. Data are unadjusted for differences in the MSH reference
price year used, exchange-rate fluctuations, national inflation rates, variations in
purchasing power parities, levels of development or other factors. In each survey,
median consumer price ratios are obtained for the basket of medicines surveyed
and found in at least four medicine outlets. As baskets of medicines differ by
individual country, results are not exactly comparable across countries. However,
data on specific medicines are publicly available at the above HAI web site, and
matched basket comparisons on a subset of medicines can be made.
h.
Absolute numbers obtained from Gal D, Bates I, Eds. 2012 FIP Global Pharmacy
Workforce Report. The Hague, International Pharmaceutical Federation, 2012, p.
85. Available online at: http://www.fip.org/static/fipeducation/2012/FIP-WorkforceReport-2012/?page=hr2012.
i.
Refers to the public sector only.
129
j.
Data derived from the Directory of Radiotherapy Centres (DIRAC) from the
International Atomic Energy Agency (IAEA).
k.
Based on a survey of medicine prices and availability in Rio Grande do Sul State,
Brazil.
l.
Medicines are provided free to patients in the public sector.
m.
Refers to the private sector only.
n.
Simple average of three surveys of medicine prices and availability in China (Shaanxi,
Shandong and Shanghai provinces).
o.
Simple average across seven state surveys.
p.
No public-sector medicine outlets available.
q.
Based on a survey in Mexico City, Mexico.
r.
Based on a survey in Tatarstan province, Russian Federation.
s.
Based on a survey of medicine prices and availability in Gauteng province, South
Africa.
t.
Simple average of four surveys in Sudan (Gadarif, Khartoum, North Kordofan and
Northern states).
Table 6
Infrastructures and technologies
Hospital d
130
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
7. Health expenditure
Table 7
Table 7 presents data on government expenditure on health and on private expenditure on health,
including externally funded expenditure on health. Sub-components of government expenditure on
health (“social security expenditure”) and private expenditure on health (“out-of-pocket expenditure”;
and “private prepaid plans”) are also included. These data are generated from information that has
been collected by WHO since 1999. The most comprehensive and consistent data on health financing are generated from national health accounts (NHAs) that collect expenditure information within
an internationally recognized framework. NHAs trace financing as it flows from funding sources to
decision-makers (who decide upon the use of the funds) and then to the providers and beneficiaries
of health services. Not all countries maintain or update NHAs – in such cases, data are obtained
through technical contacts in the country or from publicly available documents and reports. Missing
values are estimated using various accounting techniques depending upon the data available for
each country.31 WHO sends all such estimates to the respective ministries of health every year for
validation.
31.
To obtain the latest updates, a full series or more-disaggregated health expenditures including metadata and sources,
see: http://www.who.int/nha/.
131
7. Health expenditure
Member State
Health expenditure ratios a
Total expenditure on
health as % of gross
domestic product
2000
2010
Afghanistan
…
Albania
6.4
Algeria
3.5
General government
Private expenditure
expenditure on health
on health
as % of total
as % of total
expenditure on health c expenditure on health c
2000
2010
10.4
…
6.0
36.1
4.3
73.3
General government
expenditure on
health as % of
total government
expenditure
2000
2010
2000
2010
22.5
…
77.5
…
42.2
63.9
57.8
7.0
79.9
26.7
20.1
External resources for
health as % of total
expenditure on health
Social security
expenditure on
health as % of
general government
expenditure on healthd
2000
2010
2000
2010
3.9
…
27.3
…
0
8.5
6.0
1.9
20.4
70.9
8.8
9.0
0.1
0
35.5
30.0
88.0
Andorra
6.2
7.2
64.8
73.4
35.2
26.6
19.1
21.3
…
…
88.1
Angola g
2.9
3.4
58.1
61.0
41.9
39.0
2.9
6.3
3.0
2.3
0
0
Antigua and Barbuda
4.8
5.9
69.0
70.8
31.0
29.2
12.1
18.7
…
0
0
10.3
Argentina g
9.2
8.3
53.9
64.4
46.1
35.6
14.7
17.7
0
0.1
59.6
65.9
Armenia
6.3
4.5
18.1
40.5
81.9
59.5
4.6
6.4
8.7
6.4
0
0
Australia
8.1
9.0
66.8
68.5
33.2
31.5
15.1
16.8
…
…
…
…
Austria
10.0
11.0
75.6
76.2
24.4
23.8
14.6
15.9
…
…
59.0
55.7
Azerbaijan i
4.7
5.3
18.6
21.9
81.4
78.1
5.4
4.2
4.0
0.7
0
0
Bahamas
5.2
7.5
48.1
46.8
51.9
53.2
14.8
15.2
0
…
1.8
3.2
3.9
4.3
67.5
71.1
32.5
28.9
10.2
9.6
0
0
0.4
1.5
h
Bahrain g
Bangladesh
2.8
3.7
39.0
36.5
61.0
63.5
7.6
8.9
6.9
7.1
0
0
Barbados
6.3
6.7
65.8
65.0
34.2
35.0
11.7
9.3
4.0
1.6
0
0.2
Belarus
6.1
5.6
75.5
77.7
24.5
22.3
10.1
13.4
0.1
0.5
0
0
Belgium
8.1
10.5
74.6
75.6
25.4
24.4
12.3
15.1
…
38.2
85.4
85.5
Belize
4.0
5.8
52.1
66.0
47.9
34.0
6.5
13.1
2.1
5.0
0
13.4
Benin
1.9
4.3
99.9
51.2
0.1
48.8
10.0
10.5
38.5
32.8
0.5
0.4
Bhutan g,j
6.9
4.3
79.3
84.6
20.7
15.4
12.2
8.4
21.3
13.3
0
0
Bolivia (Plurinational State of)
6.1
5.5
60.1
66.2
39.9
33.8
9.8
8.4
6.0
3.9
62.0
40.5
Bosnia and Herzegovina
7.0
10.2
57.6
68.1
42.4
31.9
11.4
16.7
9.2
1.3
97.7
90.5
Botswana
…
g,j
4.7
5.1
62.2
64.5
37.8
35.5
7.3
8.7
0.5
8.0
…
Brazil
7.2
9.0
40.3
47.0
59.7
53.0
4.1
10.7
0.5
0.3
0
0
Brunei Darussalam k
3.0
2.9
86.5
85.4
13.5
14.6
6.3
8.8
…
…
…
…
Bulgaria
6.2
7.6
60.9
55.7
39.1
44.3
9.1
11.3
1.9
…
12.0
68.4
g
Burkina Faso
5.1
7.4
39.6
55.4
60.4
44.6
8.8
15.7
13.9
36.1
0.8
0.4
Burundi g,l
6.2
9.1
29.3
35.0
70.7
65.0
7.5
8.1
19.1
40.9
25.1
23.0
Cambodia g,j
6.3
6.0
20.4
21.5
79.6
78.5
8.7
6.1
8.6
20.1
…
…
Cameroon g,l
4.4
5.1
19.3
29.6
80.7
70.4
5.5
8.5
4.3
7.0
4.2
2.6
Canada
8.8
11.4
70.4
71.1
29.6
28.9
15.1
18.3
…
…
2.0
1.9
87.3
Cape Verde
g
g
4.8
2.3
73.3
49.1
26.7
50.9
9.9
2.5
13.0
19.5
34.9
Central African Republic g
2.2
3.8
93.1
51.0
6.9
49.0
12.9
10.4
35.4
25.3
…
…
Chad l
6.3
4.0
42.5
25.0
57.5
75.0
13.1
3.3
24.9
7.9
…
…
Chile g
7.7
7.4
43.7
47.2
56.3
52.8
14.1
15.8
0
0
15.0
13.7
China
4.6
5.0
38.3
54.3
61.7
45.7
10.9
12.1
0.1
0.1
57.2
64.2
Colombia
5.9
6.5
79.3
74.6
20.7
25.4
19.3
17.8
0.3
0.1
66.8
82.9
Comoros g,l
3.6
5.3
42.1
57.2
57.9
42.8
9.3
13.1
20.5
15.3
0
0
Congo g
2.1
2.3
57.5
60.5
42.5
39.5
4.8
6.5
4.6
4.6
0
0
Cook Islands g,j
3.4
4.6
90.5
92.9
9.5
7.1
9.9
11.9
2.2
5.8
0
0
Costa Rica
7.1
10.3
78.6
68.9
21.4
31.1
24.1
29.0
0.9
0.6
80.7
86.2
Côte d'Ivoire
1.4
6.2
94.9
24.5
5.1
75.5
7.2
6.8
19.4
8.3
…
…
Croatia
7.8
7.8
86.1
84.8
13.9
15.2
14.5
17.7
0.4
0
97.6
74.2
Cuba
6.1
10.2
90.8
95.2
9.2
4.8
10.8
13.9
0.2
0
0
0
Cyprus
5.8
7.4
41.7
43.3
58.3
56.7
6.5
6.9
0
…
0
1.6
Czech Republic
6.3
7.5
90.3
83.8
9.7
16.2
13.7
14.2
…
…
89.5
90.6
Democratic People's Republic of Korea
…
…
…
…
…
…
6.0
…
…
…
0
…
Democratic Republic of the Congo
4.7
7.5
4.2
28.4
95.8
71.6
1.8
10.0
2.8
33.0
…
…
Denmark
8.7
11.1
83.9
85.1
16.1
14.9
13.6
16.4
…
…
…
…
132
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Member State
Health expenditure ratios a
Per capita health expenditures a,b
Private prepaid
Out-of-pocket
plans as % of private
expenditure as % of
private expenditure on expenditure on health
health
Per capita total
Per capita government Per capita government
Per capita total
expenditure on health expenditure on health f expenditure on health expenditure on health f
at average exchange
at average exchange
(PPP int. $)
(PPP int. $)
ratee (US$)
ratee (US$)
2010
2000
2010
2000
2010
2000
2010
2000
2010
2000
2010
…
94.0
…
0
…
44
…
52
…
10
…
12
99.9
99.8
0
…
75
220
266
515
27
93
96
217
Afghanistan
Albania
96.7
94.7
3.1
5.1
63
198
188
364
46
158
138
291
Algeria
75.5
74.0
22.3
23.1
1330
2958
1967
3122
862
2172
1275
2293
Andorra
62.8
70.6
0
0
19
146
63
194
11
89
37
118
Angola g
86.8
88.5
13.2
11.5
408
771
572
981
281
546
394
694
Antigua and Barbuda
63.0
60.0
30.7
31.5
709
759
840
1321
382
489
453
851
Argentina g
94.2
92.7
…
0.5
39
134
128
240
7
54
23
97
Armenia
59.7
59.4
21.8
24.9
1713
5174
2253
3685
1145
3545
1505
2525
Australia h
62.1
67.0
19.4
18.8
2403
4964
2898
4398
1818
3783
2192
3351
Austria
77.7
88.6
0.3
0.7
30
307
102
520
6
67
19
114
Azerbaijan i
40.2
54.0
58.6
45.1
1107
1704
1425
2348
532
798
685
1100
Bahamas
68.7
60.9
25.4
21.1
497
748
767
937
335
531
518
666
Bahrain g
95.1
96.6
0.1
0.3
10
25
24
61
4
9
9
22
Bangladesh g,j
77.3
80.6
22.7
19.4
601
1003
791
1520
396
652
520
988
Barbados
57.1
88.9
0.1
0.8
63
320
314
762
48
248
237
592
Belarus
83.7
79.5
15.4
19.7
1844
4548
2247
3975
1376
3438
1676
3005
Belgium
80.7
69.5
2.9
16.9
133
262
199
428
69
173
104
282
Belize
…
91.2
50.0
7.2
7
33
23
70
7
17
23
36
Benin
100
94.7
0
1.2
52
89
165
226
41
75
131
192
Bhutan g,j
81.6
77.7
8.1
18.8
61
108
192
264
37
72
116
175
Bolivia (Plurinational State of)
100
98.5
…
…
106
453
320
893
61
308
185
608
Bosnia and Herzegovina
36.7
12.7
4.1
79.9
152
382
401
711
94
246
249
459
Botswana g
63.6
57.8
34.3
40.4
265
990
503
1009
107
466
203
474
Brazil
98.8
98.9
0.6
0.5
551
915
1284
1503
477
781
1111
1284
Brunei Darussalam k
100
96.8
…
1.0
98
480
385
1057
60
267
235
589
Bulgaria
94.3
73.8
1.0
2.2
11
39
39
92
4
22
15
51
Burkina Faso g
73.0
64.6
0.2
0.2
7
23
23
54
2
8
7
19
Burundi g,l
89.4
75.4
0.2
0.2
19
48
58
132
4
10
12
28
Cambodia g,j
94.4
94.5
…
…
26
61
72
122
5
18
14
36
53.7
49.0
38.8
43.2
2089
5257
2519
4443
1470
3736
1772
3157
95.2
93.7
2.6
3.1
59
69
93
80
43
34
68
39
Cape Verde g
…
90.3
16.5
1.8
6
17
15
30
5
9
14
15
Central African Republic g
96.2
96.7
0.4
0.2
11
31
42
60
4
8
18
15
Chad l
64.8
69.1
35.2
30.9
387
933
735
1191
169
440
321
562
Chile g
95.6
77.2
1.0
7.4
43
219
108
373
17
119
41
203
China
59.0
67.7
41.0
32.3
148
407
345
614
118
304
274
458
Colombia
100
100
0
0
13
39
34
58
5
22
14
33
Comoros g,l
98.9
94.2
0.8
3.5
22
68
59
97
13
41
34
59
Congo g
100
100
0
0
175
544
242
404
158
506
219
375
Cook Islands g,j
Cameroon g,l
Canada
88.2
90.5
2.3
5.5
288
802
511
1197
226
553
402
825
Costa Rica
…
91.1
100
1.1
9
71
22
115
8
17
21
28
Côte d'Ivoire
100
95.9
…
4.1
377
1051
847
1475
325
891
730
1251
Croatia
100
100
0
0
166
583
147
414
151
555
134
394
Cuba
95.7
87.0
4.3
10.8
744
2012
1107
2218
310
871
461
960
Cyprus
100
91.5
…
0.9
361
1403
982
1885
326
1175
887
1579
…
…
…
…
…
…
…
…
1
…
35
…
77.3
65.0
0
0.2
13
15
11
26
<1
4
<1
7
90.9
88.7
8.7
10.8
2609
6253
2508
4467
2188
5323
2103
3803
133
Czech Republic
Democratic People's Republic of Korea
Democratic Republic of the Congo
Denmark
Table 7
2000
7. Health expenditure
Member State
Health expenditure ratios a
Total expenditure on
health as % of gross
domestic product
2000
2010
General government
Private expenditure
expenditure on health
on health
as % of total
as % of total
expenditure on health c expenditure on health c
2000
2010
2000
2010
General government
expenditure on
health as % of
total government
expenditure
2000
2010
External resources for
health as % of total
expenditure on health
2000
2010
Social security
expenditure on
health as % of
general government
expenditure on healthd
2000
2010
Djibouti
4.0
7.9
99.2
68.5
0.8
31.5
12.0
14.1
47.7
22.1
11.3
9.6
Dominica
4.9
5.9
69.0
71.3
31.0
28.7
6.6
10.5
3.7
2.7
0
0.8
Dominican Republic g
6.3
5.5
34.5
50.4
65.5
49.6
15.9
14.2
2.0
4.3
17.0
26.4
Ecuador
4.2
7.9
31.2
40.2
68.8
59.8
6.4
7.7
4.1
0.4
28.0
37.8
Egypt
1.7
4.7
99.6
39.2
0.4
60.8
5.6
6.1
3.3
0.6
…
21.0
El Salvador
8.0
6.9
45.2
61.8
54.8
38.2
14.3
13.4
0.9
1.9
44.2
36.7
Equatorial Guinea l,m
1.9
4.2
46.3
57.4
53.7
42.6
7.8
7.0
8.8
2.1
0
0
Eritrea l,n
4.5
2.9
39.1
45.2
60.9
54.8
2.6
3.6
29.8
35.0
0
0
Estonia
5.2
6.3
78.0
78.9
22.0
20.3
11.3
12.3
0.3
0.9
86.0
86.4
Ethiopia
4.3
4.8
53.6
52.9
46.4
47.1
8.9
13.7
16.5
36.1
0
0
Fiji g
3.8
4.2
84.6
70.2
15.4
29.8
11.3
10.8
7.5
8.6
0
0
g
Finland
7.2
9.0
71.3
74.5
28.7
25.5
10.6
12.0
0
0
19.5
19.4
France
10.1
11.7
79.4
76.9
20.6
23.1
15.5
15.9
…
9.9
94.3
95.3
Gabon
24.9
2.5
3.5
42.0
51.8
58.0
48.2
4.8
6.6
2.6
2.3
5.7
Gambia g
3.6
4.4
34.2
56.1
65.8
43.9
10.4
11.3
19.1
39.2
0
0
Georgia o
6.9
10.2
17.0
23.6
83.0
76.4
6.9
6.9
1.2
2.8
46.0
79.7
Germany
10.4
11.5
79.5
76.8
20.5
23.2
18.3
18.5
…
…
87.2
88.6
Ghana
g
4.7
5.2
48.7
58.2
51.3
41.8
8.3
12.1
14.5
16.5
0
25.2
Greece
7.9
10.8
60.0
61.5
40.0
38.5
10.1
13.2
…
…
45.9
51.8
Grenada
6.6
5.8
52.0
45.1
48.0
54.9
13.2
8.2
…
5.7
0
0.2
Guatemala g
5.6
6.9
40.2
34.9
59.8
65.1
17.0
15.8
3.4
1.9
51.2
42.0
5.7
6.2
18.7
32.5
81.3
67.5
6.4
6.8
13.4
26.7
1.1
4.5
l
Guinea g
Guinea-Bissau
4.9
7.0
10.5
33.1
89.5
66.9
2.3
11.1
30.0
28.5
5.4
1.1
Guyana
5.8
5.6
84.7
79.5
15.3
20.5
10.8
14.8
3.9
25.6
7.1
4.5
Haiti
6.1
6.9
27.7
40.0
72.3
60.0
16.0
9.9
9.4
39.0
0
0
Honduras
6.6
8.7
54.2
49.8
45.8
50.2
18.1
17.1
2.5
4.9
13.7
24.3
Hungary
7.2
7.8
70.7
64.8
29.3
35.2
10.6
10.2
0
…
83.9
83.5
Iceland
9.7
9.3
81.5
80.4
18.5
19.6
18.9
14.5
…
80.5
32.4
36.5
India g
4.3
3.7
26.0
28.2
74.0
71.8
7.4
6.8
0.5
1.3
18.3
19.0
Indonesia g
2.0
2.8
36.1
36.1
63.9
63.9
4.5
6.2
…
1.2
6.3
17.4
Iran (Islamic Republic of) q
4.6
5.3
41.6
40.2
58.4
59.8
8.4
10.1
0
0
57.8
…
Iraq
g,l,p
2.8
8.5
1.1
81.2
98.9
18.8
0.1
10.2
12.9
0.8
0
0
Ireland
6.1
9.2
75.1
69.2
24.9
30.8
14.7
13.5
…
…
1.2
0.5
Israel
7.5
7.7
63.7
61.7
27.0
34.2
9.4
10.5
2.2
1.5
73.1
72.5
Italy
8.0
9.5
72.5
77.6
27.5
22.4
12.7
14.7
…
…
0.1
0.2
Jamaica
5.5
5.2
52.6
55.5
47.4
44.5
6.6
6.8
1.8
1.0
0
0
Japan
7.6
9.2
80.8
80.3
19.2
19.7
16.2
18.2
…
…
84.9
87.3
Jordan g,s
9.7
8.3
48.0
67.6
52.0
32.4
10.9
19.2
4.5
3.6
9.7
25.6
Kazakhstan
4.2
4.3
50.9
59.1
49.1
40.9
9.2
11.4
7.4
0.7
…
…
Kenya g
4.7
4.4
46.3
40.2
53.7
59.8
10.5
5.9
8.0
37.9
10.9
13.0
Kiribati g,j
7.9
10.7
94.6
81.2
5.4
18.8
8.8
10.0
28.4
16.9
0
0
Kuwait
2.5
2.6
76.0
80.4
24.0
19.6
5.5
6.9
0
0
0
0
Kyrgyzstan
4.7
6.7
44.3
55.7
55.7
44.3
12.0
11.9
6.0
11.4
10.0
60.6
Lao People's Democratic Republic g,t
3.3
2.6
35.1
46.5
64.9
53.5
5.8
5.4
29.2
28.7
1.2
5.5
Latvia
6.0
6.7
54.4
60.9
45.6
39.1
8.7
9.3
0.5
…
…
…
Lebanon
8.6
6.2
37.5
27.0
62.5
73.0
7.9
5.8
2.6
0.9
49.0
78.3
Lesotho
7.0
11.5
51.2
70.3
48.8
29.7
6.3
13.8
3.1
18.2
0
0
Liberia g,l
5.9
16.4
24.5
19.0
75.5
81.0
6.7
11.1
9.2
42.4
0
0
Libya l
1.9
3.0
100
70.0
…
30.0
6.0
4.0
0
0.7
…
…
l,r
134
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Member State
Per capita health expenditures a,b
Private prepaid
Out-of-pocket
plans as % of private
expenditure as % of
private expenditure on expenditure on health
health
Per capita total
Per capita government Per capita government
Per capita total
expenditure on health expenditure on health f expenditure on health expenditure on health f
at average exchange
at average exchange
(PPP int. $)
(PPP int. $)
ratee (US$)
ratee (US$)
2000
2010
2000
2010
2000
2010
2000
2010
2000
2010
2000
2010
…
99.1
100
0.9
30
99
62
184
30
68
61
126
Djibouti
88.9
84.0
11.1
16.0
231
410
367
717
159
292
253
511
Dominica
71.9
78.7
18.7
18.3
175
281
326
509
60
141
113
256
Dominican Republic g
85.3
85.0
4.8
12.0
54
318
198
635
17
128
62
255
Ecuador g
…
97.7
…
1.7
24
125
61
293
24
49
61
115
Egypt
94.6
88.6
5.4
11.4
177
238
366
456
80
147
166
282
El Salvador
90.9
95.3
0
0
46
847
148
1395
21
486
69
801
100
100
0
0
8
13
23
17
3
6
9
8
91.5
88.0
0
1.2
217
898
518
1294
170
708
404
1020
Estonia
79.2
80.1
0.5
1.5
5
15
20
50
3
8
11
26
Ethiopia
63.5
65.8
26.2
21.8
79
155
132
194
67
109
112
136
Fiji g
77.7
75.5
8.8
8.4
1699
3955
1853
3252
1210
2947
1321
2423
Finland
34.4
32.2
61.6
59.3
2203
4618
2546
3997
1749
3553
2021
3075
France
100
100
…
…
102
309
293
532
43
160
123
275
Gabon l
53.7
48.4
2.3
3.1
22
27
51
90
7
15
17
50
Gambia g
99.4
89.5
0.6
4.1
45
272
143
524
8
64
24
124
Georgia o
51.0
51.4
40.2
39.9
2386
4654
2679
4342
1898
3573
2131
3334
Germany
64.4
66.7
10.6
6.3
12
69
45
85
6
40
22
50
Ghana g
94.5
94.5
5.5
5.5
917
2873
1451
3069
550
1768
871
1888
Greece
100
97.8
…
…
339
438
535
632
177
198
278
285
Grenada
89.4
81.2
4.2
5.5
96
197
197
327
39
69
79
114
Guatemala g
99.5
92.7
0
0.7
21
29
33
67
4
10
6
22
Guinea g
54.7
57.2
0
0
17
38
97
82
2
13
10
27
Guinea-Bissau g,l,p
86.1
86.1
0.3
0.3
57
169
129
194
48
134
110
154
Guyana
69.7
39.0
…
…
26
46
61
76
7
18
17
30
Haiti
95.0
94.3
5.0
5.7
77
176
170
340
42
88
92
169
Honduras
Equatorial Guinea l,m
Eritrea l,n
89.8
74.3
0.6
7.0
326
1002
853
1601
231
649
603
1037
Hungary
100.0
92.9
…
…
3034
3668
2830
3230
2473
2949
2306
2598
Iceland
91.8
86.0
1.1
4.7
20
51
65
126
5
14
17
36
India g
72.9
75.8
6.4
3.7
15
84
46
123
5
30
16
44
Indonesia g
96.2
97.0
3.6
2.8
231
302
306
797
96
121
127
320
Iran (Islamic Republic of) q
100
100
…
…
34
247
77
346
<1
200
<1
281
Iraq l,r
32.8
49.1
30.9
44.2
1561
4242
1762
3720
1172
2933
1323
2572
Ireland
62.8
59.7
18.8
29.1
1495
2198
1772
2041
952
1356
1129
1259
Israel
89.1
87.6
3.2
4.6
1554
3247
2064
3046
1127
2520
1497
2365
Italy
65.0
71.0
30.0
25.6
189
259
327
397
100
144
172
220
Jamaica
80.1
82.0
12.7
12.5
2834
3958
1974
3120
2290
3179
1595
2506
Japan
74.9
76.5
5.3
18.1
169
370
306
493
81
250
147
333
Jordan g,s
98.9
98.8
0.2
0.2
51
395
199
528
26
233
101
312
Kazakhstan
80.4
76.6
6.6
9.3
19
35
53
72
9
14
25
29
Kenya g
1.7
6.5
0
0
64
162
166
262
61
131
157
213
Kiribati g,j
93.2
90.6
6.8
9.4
488
1225
705
1133
371
984
535
910
Kuwait
89.3
87.3
…
…
13
60
62
152
6
33
27
84
Kyrgyzstan
91.8
78.2
0
…
11
30
40
67
4
14
14
31
Lao People's Democratic Republic g,t
96.8
95.3
3.2
2.1
197
762
479
1157
107
464
261
705
Latvia
96.4
75.7
…
20.1
396
574
657
872
148
155
246
235
Lebanon
74.0
69.0
…
…
27
116
68
184
14
81
35
129
Lesotho
50.3
25.8
…
0.7
11
41
18
88
3
8
4
17
Liberia g,l
…
100
…
0
124
389
214
573
124
272
214
401
Libya l
135
Table 7
Health expenditure ratios a
7. Health expenditure
Member State
Health expenditure ratios a
Total expenditure on
health as % of gross
domestic product
General government
Private expenditure
expenditure on health
on health
as % of total
as % of total
expenditure on health c expenditure on health c
General government
expenditure on
health as % of
total government
expenditure
2000
2010
2000
2010
2000
2010
2000
2010
Lithuania
6.5
7.0
69.7
72.9
30.3
27.1
11.6
Luxembourg
7.5
7.9
85.1
84.3
14.9
15.7
16.9
Madagascar
3.7
3.6
66.5
58.1
33.5
41.9
Malawi
External resources for
health as % of total
expenditure on health
Social security
expenditure on
health as % of
general government
expenditure on healthd
2000
2010
2000
2010
12.6
1.7
1.3
88.3
83.6
15.5
…
…
71.0
81.0
15.5
13.5
20.1
9.5
…
…
3.0
8.4
91.2
74.2
8.8
25.8
9.0
18.5
53.4
58.1
0
0
Malaysia g
3.1
4.4
59.0
55.5
41.0
44.5
8.0
9.2
0.7
0
0.7
0.7
Maldives g
7.0
6.2
58.0
60.8
42.0
39.2
11.1
9.3
2.7
0.5
0
1.0
Mali
6.0
6.5
29.2
43.5
70.8
56.5
7.5
12.3
8.2
22.2
1.8
0.7
Malta
6.6
8.5
72.4
64.2
27.5
33.3
12.1
13.0
…
…
…
…
g
Marshall Islands
21.9
17.1
87.9
83.8
12.1
16.2
21.1
17.0
33.1
33.9
35.0
11.2
Mauritania
6.0
6.1
66.5
66.0
33.5
34.0
12.9
13.1
11.2
7.4
8.7
8.5
Mauritius
3.7
6.2
52.0
43.7
48.0
56.3
8.7
10.8
1.4
1.9
…
…
Mexico
5.1
6.3
46.6
49.0
53.4
51.0
16.6
12.1
1.0
0
67.6
55.4
Micronesia (Federated States of) t
7.8
13.6
93.9
91.3
6.1
8.7
10.9
18.6
71.5
74.6
21.4
15.8
Monaco
t
3.2
4.4
87.1
88.6
12.9
11.4
14.2
18.8
0
…
98.1
98.7
Mongolia g
4.7
5.5
82.2
57.0
17.8
43.0
10.9
8.6
28.0
3.8
24.1
30.4
Montenegro
7.5
9.0
69.0
66.5
31.0
33.5
16.9
13.6
…
0.4
99.0
97.9
Morocco
4.1
5.4
28.7
29.8
71.3
70.2
3.8
5.4
0.5
0.8
0
…
l
Mozambique
6.2
6.3
70.0
52.8
30.0
47.2
17.0
10.4
25.3
62.2
0.3
20.3
Myanmar g,u
2.1
2.0
13.5
12.1
86.5
87.9
8.1
1.3
1.1
…
3.1
1.3
Namibia g
6.1
5.5
68.9
58.0
31.1
42.0
6.9
6.5
3.8
25.5
1.8
2.7
Nauru j
13.7
9.6
94.6
86.4
5.4
13.6
11.2
10.3
12.7
40.9
0
0
Nepal g,j
5.4
5.1
24.6
37.4
75.4
62.6
8.3
9.5
15.3
12.3
0
4.1
Netherlands
8.0
12.1
63.1
84.8
36.9
14.2
11.4
20.1
…
…
93.9
84.2
New Zealand
7.6
10.1
78.0
83.2
22.0
16.8
15.7
19.8
…
…
…
10.1
Nicaragua
7.0
9.9
53.5
57.3
46.5
42.7
13.1
19.8
7.8
9.5
27.0
34.5
Niger
3.4
4.8
44.5
49.2
55.5
50.8
8.4
11.1
40.4
32.7
3.3
1.3
0
Nigeria
g
4.6
5.4
33.5
31.5
66.5
68.5
4.2
5.7
16.2
8.7
0
Niue k
7.9
16.2
98.5
99.2
1.5
0.8
6.5
20.3
4.5
35.9
0
0
Norway
8.4
9.3
82.5
85.5
17.4
14.5
16.4
17.7
…
…
17.1
13.7
g
Oman
3.1
2.7
81.8
81.1
18.2
18.9
7.1
6.2
0
0
0
…
Pakistan g,v
1.1
1.0
58.7
76.6
41.3
23.4
2.4
3.4
2.0
10.2
5.7
3.4
Palau g,t
10.6
11.5
80.4
76.1
19.6
23.9
12.0
16.0
35.1
37.5
0
0
Panama
7.8
8.7
68.1
69.9
31.9
30.1
21.3
15.1
1.0
1.2
50.0
34.9
Papua New Guinea g
4.0
4.1
81.7
75.2
18.3
24.8
9.9
9.8
23.8
20.9
0
0
Paraguay
9.4
9.6
39.9
34.4
60.1
65.6
17.7
17.3
2.8
2.3
52.4
35.4
Peru
4.7
4.9
58.7
56.2
41.3
43.8
14.9
14.3
1.1
1.7
49.5
43.0
Philippines
3.2
4.1
47.6
36.1
52.4
63.9
8.4
8.8
3.5
1.7
14.7
25.5
Poland
5.5
7.0
70.0
71.7
30.0
27.8
9.4
11.0
…
0.1
82.6
86.2
Portugal
9.3
10.7
66.6
65.8
33.4
34.2
14.9
13.8
…
…
1.7
1.9
Qatar g
2.2
2.1
72.3
77.5
27.7
22.5
5.0
5.2
0
0
0
0
Republic of Korea
4.5
7.1
48.6
58.2
51.4
41.8
9.7
13.7
…
…
77.3
77.5
Republic of Moldova w
6.7
11.7
48.5
45.8
51.5
54.2
9.5
13.1
14.7
9.6
…
88.1
Romania
4.3
5.9
81.2
80.3
18.8
19.6
9.1
11.9
…
0.1
81.9
79.9
Russian Federation
5.4
6.5
59.9
58.7
40.1
41.3
12.7
9.7
0.2
…
40.3
44.6
Rwanda
4.2
10.4
39.2
54.8
60.8
45.2
8.2
23.3
52.0
48.0
6.4
9.2
Saint Kitts and Nevis
4.7
4.7
60.4
55.9
39.6
44.1
9.6
6.8
5.4
0.3
0.5
0.2
Saint Lucia
5.8
7.7
54.0
55.3
46.0
44.7
11.7
13.3
0.4
2.7
4.9
3.6
Saint Vincent and the Grenadines
3.7
4.7
82.2
82.1
17.8
17.9
10.8
11.6
0.3
5.3
0
0
Samoa g,j
6.0
6.3
76.8
87.6
23.2
12.4
21.4
23.4
16.2
13.4
0.3
0.6
136
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Member State
Health expenditure ratios a
Per capita health expenditures a,b
Private prepaid
Out-of-pocket
plans as % of private
expenditure as % of
private expenditure on expenditure on health
health
Per capita total
Per capita government Per capita government
Per capita total
expenditure on health expenditure on health f expenditure on health expenditure on health f
at average exchange
at average exchange
(PPP int. $)
(PPP int. $)
ratee (US$)
ratee (US$)
2010
2000
2010
2000
2010
2000
2010
2000
2010
2000
2010
86.2
97.4
0.3
2.4
212
782
560
1286
148
570
390
937
Lithuania
79.0
72.8
13.1
19.6
3474
8193
4012
6712
2955
6910
3413
5660
Luxembourg
52.8
68.3
10.8
15.2
9
15
30
35
6
9
20
20
Madagascar
…
53.3
100
15.8
5
28
18
74
4
21
16
55
Malawi g
72.2
76.8
12.5
14.7
125
368
282
645
73
204
166
358
Malaysia g
55.4
71.6
3.4
4.6
160
409
272
510
93
249
158
310
Maldives g
99.1
99.6
0.1
0.4
14
39
44
69
4
17
13
30
Mali
96.9
100.2
3.1
6.3
643
1706
1249
2290
466
1095
905
1470
Malta
75.2
75.2
24.8
24.8
466
517
333
374
410
433
293
314
Marshall Islands t
94.5
94.5
0.6
0.6
24
59
73
138
16
39
48
91
Mauritania
74.6
88.8
8.3
6.3
145
465
305
835
75
203
159
365
Mauritius
95.3
92.2
4.7
7.8
328
603
509
962
153
296
237
471
Mexico
100
97.5
0
0
170
365
211
453
160
334
198
413
Micronesia (Federated States of) t
54.3
61.2
45.7
38.8
2445
6663
2823
5915
2130
5901
2459
5238
Monaco l
66.9
93.1
0
0
22
124
91
221
18
71
75
126
Mongolia g
91.1
91.0
…
…
117
584
474
1154
81
388
328
768
Montenegro
76.6
88.3
23.4
11.7
53
153
108
257
15
46
31
77
Morocco
40.6
25.0
…
…
15
25
27
57
10
13
19
30
Mozambique g
99.6
92.7
0
0
3
17
13
26
<1
2
2
3
Myanmar g,u
18.2
17.9
77.3
61.1
126
269
243
360
87
156
168
209
Namibia g
58.4
58.4
0
0
287
596
430
220
271
515
407
190
Nauru j
91.2
90.4
0.1
0.2
12
28
43
61
3
10
11
23
Nepal g,j
24.3
36.2
43.0
33.9
1925
5683
2341
5112
1214
4820
1477
4335
Netherlands
69.9
62.6
28.5
29.2
1051
3267
1603
2992
820
2719
1250
2490
New Zealand
91.6
92.6
0.6
2.6
54
113
133
276
29
65
71
158
Nicaragua
80.6
84.0
8.9
4.4
5
17
17
36
2
9
7
18
Niger
92.7
95.6
5.1
3.1
17
67
60
128
6
21
20
40
Nigeria g
100
100
0
0
318
2076
814
3200
313
2060
802
3176
Niue k
95.8
94.5
…
…
3155
8039
3043
5391
2603
6875
2510
4610
Norway
64.4
61.4
21.3
23.2
264
568
657
591
216
461
537
479
Oman
…
…
1.2
2.3
6
10
18
28
3
8
11
21
Pakistan g,v
73.4
45.8
26.6
39.3
661
966
1178
1605
532
735
947
1222
Palau g,t
81.3
82.2
18.7
17.8
305
663
560
1221
208
463
381
853
Panama
56.0
55.9
5.5
5.5
26
57
69
101
21
43
56
76
Papua New Guinea g
86.6
91.5
13.4
8.5
124
272
316
493
50
93
126
169
Paraguay
81.3
84.9
15.0
11.9
97
258
231
463
57
145
135
261
Peru
77.2
83.8
11.1
11.3
34
89
77
164
16
32
37
59
Philippines
100
79.4
0.8
2.4
247
851
584
1377
173
610
409
987
Poland
72.8
76.1
9.8
12.7
1066
2306
1654
2729
710
1517
1102
1796
Portugal
100
71.0
…
27.9
655
1489
1443
1621
473
1153
1044
1256
Qatar g
80.9
76.8
9.4
13.3
508
1452
771
2035
247
845
375
1185
Republic of Korea
83.3
82.8
…
0.1
24
190
98
362
11
87
47
166
Republic of Moldova w
Romania
100
98.2
…
0.4
72
457
248
881
59
367
201
708
74.7
87.8
8.1
7.1
96
670
369
1277
57
393
221
749
Russian Federation
40.7
49.4
0.9
…
9
55
25
120
4
30
10
66
Rwanda
94.2
94.6
5.8
5.4
388
598
565
696
234
334
341
389
Saint Kitts and Nevis
98.1
98.8
1.9
1.2
265
528
435
703
143
292
235
389
Saint Lucia
100
100
…
…
137
293
247
499
113
240
203
410
Saint Vincent and the Grenadines
81.6
63.8
0
0
79
204
163
275
61
179
125
241
Samoa g,j
137
Table 7
2000
7. Health expenditure
Member State
Health expenditure ratios a
Total expenditure on
health as % of gross
domestic product
2000
2010
General government
Private expenditure
expenditure on health
on health
as % of total
as % of total
expenditure on health c expenditure on health c
2000
2010
2000
2010
General government
expenditure on
health as % of
total government
expenditure
2000
2010
External resources for
health as % of total
expenditure on health
2000
2010
Social security
expenditure on
health as % of
general government
expenditure on healthd
2000
2010
San Marino
9.6
7.2
89.0
84.7
11.0
15.3
26.9
13.6
…
…
76.0
Sao Tome and Principe
8.4
7.5
43.2
35.3
56.8
64.7
9.0
5.6
34.8
20.3
0
86.2
0
Saudi Arabia g
4.3
4.0
71.6
66.0
28.4
34.0
9.2
6.8
0
0
…
…
Senegal
4.3
5.8
36.8
56.9
63.2
43.1
8.5
12.1
17.4
18.4
8.8
3.9
Serbia x
7.4
10.4
70.0
61.9
30.0
38.1
13.5
14.1
1.1
0.8
92.5
94.2
1.1
Seychelles
4.8
3.3
82.7
91.9
17.3
8.1
7.3
9.3
4.3
4.2
5.0
Sierra Leone y
17.5
20.8
22.6
15.3
77.4
84.7
14.2
11.7
5.5
26.8
0
0
Singapore g
2.8
4.5
44.9
31.4
55.1
68.6
6.2
9.0
0
0
4.8
15.5
Slovakia
5.5
9.0
89.4
64.5
10.6
35.5
9.4
14.5
…
…
98.2
89.9
Slovenia
8.3
9.0
74.0
72.8
26.0
27.2
13.1
13.0
…
14.2
93.7
93.3
Solomon Islands g
4.6
7.4
94.3
93.8
5.7
6.2
20.7
20.3
13.1
36.1
0
0
Somalia l
2.4
…
44.8
…
55.2
…
4.2
…
40.1
…
0
…
South Africa g
8.1
8.7
42.3
46.6
57.7
53.4
10.9
12.4
0.3
2.2
3.3
2.9
South Sudan
…
2.1
…
32.3
…
67.7
…
4.0
…
21.4
…
…
Spain
7.2
9.6
71.6
74.2
28.4
25.8
13.2
15.4
…
…
9.6
6.1
Sri Lanka g
3.7
3.5
48.4
45.6
51.6
54.4
6.8
6.9
0.3
2.2
0.3
0.1
Sudan g,l
3.3
7.2
25.8
27.6
74.2
72.4
7.6
10.3
4.5
2.9
…
11.1
Sudan (former)
…
…
…
…
…
…
…
…
…
…
…
…
Suriname
8.7
5.7
53.4
51.7
46.6
48.3
11.7
11.9
9.9
9.6
33.8
41.7
Swaziland
5.3
7.8
56.3
71.1
43.7
28.9
10.5
13.7
5.8
14.4
0
0
Sweden
8.2
9.6
84.9
81.0
15.1
19.0
12.6
14.8
…
…
…
…
9.9
10.9
55.4
65.2
44.6
34.8
15.4
21.0
25.1
31.1
72.8
70.9
…
Switzerland
Syrian Arab Republic
4.9
3.4
40.4
46.0
59.6
54.0
6.5
5.6
0.1
0.7
…
Tajikistan
4.6
6.0
20.4
26.7
79.6
73.3
6.5
5.9
2.3
8.3
…
…
Thailand g
3.4
3.9
56.1
75.0
43.9
25.0
11.0
14.3
0
0.3
9.4
10.1
The former Yugoslav Republic of Macedonia
8.8
6.6
57.5
61.8
42.5
38.2
14.8
11.9
2.8
0.8
97.4
99.9
Timor-Leste
z
8.0
5.7
78.9
74.7
21.1
25.3
12.7
5.0
58.6
42.8
0
0
Togo g
5.3
7.5
28.5
45.9
71.5
54.1
8.5
15.4
5.9
18.2
11.7
6.5
Tonga g,j
4.8
5.0
70.5
81.3
29.5
18.7
13.3
13.0
22.2
17.4
0
0
Trinidad and Tobago
3.9
6.3
43.0
52.8
57.0
47.2
5.8
9.3
6.8
0.1
0
0
Tunisia g
5.4
5.7
54.9
54.3
45.1
45.7
8.1
10.8
0.9
0.3
28.9
47.7
g,aa
Turkey
4.9
6.7
62.9
74.8
37.1
25.2
9.8
12.8
0.1
0
55.5
57.0
Turkmenistan l,ab
3.9
2.5
81.8
60.4
18.2
39.6
13.7
9.8
1.4
0.7
6.5
6.5
Tuvalu g
10.9
14.5
100.0
99.9
0
0.1
5.0
18.1
44.1
15.5
0
0
Uganda g
6.6
9.2
26.8
23.1
73.2
76.9
7.3
10.8
28.3
27.6
0
0
Ukraine
5.6
7.8
51.8
56.6
48.2
43.4
8.4
12.7
0.5
0.6
0
0.5
United Arab Emirates
2.2
3.7
76.7
73.0
23.3
27.0
7.6
8.8
0
0
0
0
United Kingdom
7.0
9.6
78.8
83.2
21.2
16.8
15.1
15.9
…
…
…
…
United Republic of Tanzania g
3.4
7.2
43.4
39.2
56.6
60.8
10.2
11.1
27.8
39.6
0
4.5
United States of America
13.4
17.6
43.2
48.2
56.8
51.8
17.1
19.9
…
…
80.3
86.4
Uruguay g
11.2
8.1
54.6
65.3
45.4
34.7
22.8
18.8
…
0.1
27.4
56.4
Uzbekistan
5.7
5.6
44.1
49.0
55.9
51.0
8.7
8.5
6.2
1.7
…
…
Vanuatu g
3.6
5.2
76.6
90.2
23.4
9.8
10.5
17.2
2.5
24.7
0
0
Venezuela (Bolivarian Republic of)
5.7
5.3
41.5
38.8
58.5
61.2
8.0
9.0
0.7
0
34.6
31.6
Viet Nam g
5.3
6.8
30.9
37.1
69.1
62.9
6.6
7.7
2.6
3.2
19.7
38.4
Yemen
g
4.3
5.6
51.6
21.0
48.4
79.0
7.6
4.3
8.3
3.4
0
0
Zambia g
5.7
6.0
51.3
60.8
48.7
39.2
9.4
16.0
17.8
43.7
0
0
Zimbabwe
…
…
…
…
…
…
…
…
…
…
…
…
138
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Member State
Per capita health expenditures a,b
Private prepaid
Out-of-pocket
plans as % of private
expenditure as % of
private expenditure on expenditure on health
health
Per capita total
Per capita government Per capita government
Per capita total
expenditure on health expenditure on health f expenditure on health expenditure on health f
at average exchange
at average exchange
(PPP int. $)
(PPP int. $)
ratee (US$)
ratee (US$)
2000
2010
2000
2010
2000
2010
2000
2010
2000
2010
2000
2010
95.9
96.4
4.1
3.6
2743
3387
3644
3178
2440
2869
3242
2692
76.1
87.8
0
0
46
94
288
151
20
33
124
53
Sao Tome and Principe
66.7
57.3
10.4
23.6
400
659
768
914
287
435
550
603
Saudi Arabia g
91.6
78.5
7.1
17.9
21
60
59
111
8
34
22
63
Senegal
84.2
95.5
…
0.9
60
546
428
1176
42
338
299
728
Serbia x
99.0
68.2
…
23.1
376
368
834
806
311
338
690
741
Seychelles
94.9
91.4
0.6
0.2
27
68
66
171
6
10
15
26
Sierra Leone y
95.7
87.8
0
10.1
663
2005
956
2592
298
629
429
813
Singapore g
89.2
72.2
…
…
208
1445
604
2097
186
932
540
1352
Slovakia
44.1
47.6
51.0
46.8
830
2064
1451
2429
614
1503
1074
1769
Slovenia
56.7
56.7
0
0
49
93
92
200
46
88
86
187
Solomon Islands g
San Marino
100
…
0
…
7
…
17
…
3
…
8
…
Somalia l
23.1
13.9
75.4
80.3
240
631
540
915
102
294
228
426
South Africa g
South Sudan
…
96.4
…
2.6
…
32
…
…
…
10
…
…
83.1
76.2
13.7
21.4
1040
2896
1538
3057
745
2148
1101
2268
80.8
81.9
2.8
4.5
33
82
102
175
16
37
49
80
Sri Lanka g
91.6
96.1
2.2
1.0
12
111
41
162
3
31
10
45
Sudan g,l
Spain
…
…
…
…
…
…
…
…
…
…
…
…
Sudan (former)
44.0
23.5
0.8
16.3
167
472
385
449
89
244
206
232
Suriname
42.4
42.3
18.9
18.9
75
243
197
411
42
173
111
292
Swaziland
91.1
88.8
…
1.4
2280
4708
2287
3760
1935
3816
1941
3047
Sweden
74.0
72.3
23.8
24.9
3519
7699
3210
5297
1951
5021
1780
3454
Switzerland
100
100
…
…
59
97
161
175
24
44
65
80
99.0
90.7
…
0.1
6
49
40
129
1
13
8
34
Tajikistan
76.9
55.8
12.8
31.4
66
179
166
331
37
134
93
248
Thailand g
99.2
99.1
…
…
157
300
521
758
90
185
299
469
The former Yugoslav Republic of Macedonia
13.5
14.2
0
0
30
45
83
84
24
33
65
63
Timor-Leste g,aa
88.2
84.6
4.7
4.2
14
39
43
74
4
18
12
34
Togo g
77.5
67.8
10.6
17.9
92
172
163
226
65
140
115
184
Tonga g,j
86.3
81.8
7.1
14.7
245
977
479
1615
105
516
206
853
Trinidad and Tobago
80.1
87.8
17.8
10.3
123
241
294
544
67
131
161
295
Tunisia g
74.6
64.4
…
7.3
205
668
454
1039
129
500
286
777
Turkey
100
100
…
…
44
105
81
219
36
64
66
132
Turkmenistan l,ab
100
100
0
0
161
461
225
384
161
460
225
383
Tuvalu g
56.7
64.8
0.1
0.2
16
44
46
117
4
10
12
27
Uganda g
91.4
93.4
1.1
2.0
36
234
184
527
19
133
96
298
Ukraine
69.4
63.2
20.2
27.3
752
1467
865
1562
577
1071
664
1140
United Arab Emirates
53.9
53.1
19.2
18.8
1765
3495
1835
3433
1391
2908
1446
2857
United Kingdom
83.5
52.4
4.5
1.5
10
37
25
100
4
14
11
39
25.5
22.7
60.3
64.4
4703
8233
4703
8233
2032
3967
2032
3967
United States of America
31.2
39.6
14.9
60.4
773
948
953
1132
422
619
520
740
Uruguay g
97.0
90.2
0
5.3
32
80
82
177
14
39
36
87
Uzbekistan
71.6
56.7
10.7
20.6
52
149
120
230
40
135
92
207
Vanuatu g
90.9
90.8
3.2
3.4
274
720
482
642
114
279
200
249
Venezuela (Bolivarian Republic of)
95.6
93.0
…
…
21
83
74
216
6
31
23
80
Viet Nam g
94.5
98.6
2.2
1.3
24
80
83
155
12
17
43
33
Yemen g
80.4
66.7
0.9
3.6
18
74
52
92
9
45
27
56
Zambia g
…
…
…
…
…
…
…
…
…
…
…
…
Zimbabwe
139
Syrian Arab Republic z
United Republic of Tanzania g
Table 7
Health expenditure ratios a
7. Health expenditure
Member State
Health expenditure ratios a
Total expenditure on
health as % of gross
domestic product
2000
2010
General government
Private expenditure
expenditure on health
on health
as % of total
as % of total
expenditure on health c expenditure on health c
2000
2010
2000
2010
General government
expenditure on
health as % of
total government
expenditure
2000
2010
External resources for
health as % of total
expenditure on health
2000
2010
Social security
expenditure on
health as % of
general government
expenditure on healthd
2000
2010
Ranges of country values
Minimum
1.1
1.0
1.1
12.1
0.1
0.1
0.1
1.3
0.1
0.1
0.1
0.1
Median
5.6
6.5
58.4
60.8
41.9
39.2
9.9
11.6
5.4
7.3
27.0
25.5
Maximum
21.9
20.8
100
99.9
98.9
87.9
26.9
29.0
71.5
80.5
99.0
99.9
WHO region
African Region
5.5
6.2
44.0
47.2
56.0
52.8
8.1
9.6
6.6
12.0
8.1
7.8
Region of the Americas
11.4
14.3
45.1
49.8
54.9
50.2
14.5
18.1
0.1
0.1
68.0
72.2
South-East Asia Region
3.6
3.6
32.0
34.7
68.8
65.3
7.3
7.6
0.9
1.5
13.2
15.4
European Region
8.0
9.3
73.9
74.4
26.0
25.5
14.0
14.8
0.7
2.8
52.7
50.6
Eastern Mediterranean Region
4.2
4.5
47.4
48.5
52.6
51.5
6.9
7.4
1.0
0.9
18.4
20.9
Western Pacific Region
5.9
6.4
63.8
64.1
36.2
35.9
13.9
14.4
0.2
0.2
68.1
67.6
Income group
a.
Low income
3.9
5.3
42.0
38.5
62.7
61.5
8.5
9.3
14.4
26.3
2.0
4.5
Lower middle income
4.1
4.3
33.3
36.1
66.7
63.9
6.6
7.4
2.5
2.5
14.9
16.3
Upper middle income
5.4
6.0
48.3
55.5
51.7
44.5
9.3
11.6
0.5
0.3
41.4
47.0
High income
9.9
12.4
59.5
61.8
40.5
38.2
15.3
17.3
0.2
1.1
63.9
65.8
Global
8.2
9.2
56.4
58.9
43.6
41.1
13.5
15.1
0.4
1.2
59.2
60.1
Source: Health expenditure series, Geneva, World Health Organization (latest
updates available at: http://apps.who.int/nha/database/DataExplorerRegime.
aspx). All indicators refer to expenditures by financing agent except “external
resources for health” which is a financing source. WHO regional, income-group
and global aggregates are calculated using Purchasing Power Parity (PPP) terms
unless otherwise noted. For health expenditure ratios, values smaller than 0.05%
may appear as zero. For per capita indicators, when the value is less than 0.5 it is
represented as < 1. In countries where the fiscal year begins in July, expenditure
data have been allocated to the later calendar year (for example, 2010 data will
cover the fiscal year 2009–2010), unless otherwise stated for the country. .
b.
Absolute values of expenditures are expressed in nominal terms (current prices).
c.
In some cases, the sum of general government and private expenditures on health
ay not add up to 100% because of rounding.
d.
Care needs to be taken in interpreting external resource figures. Most are taken from
the OECD DAC/CRS database except where a reliable full NHA study has been
conducted or official data were found.
e.
f.
National currency unit per US$ are calculated using the average exchange rates for
the year. WHO regional, income-group and global aggregates are calculated using
constant US$.
PPP series resulting from the 2005 International comparison project (ICP) estimated
by the World Bank has been used. In countries where this is not available, PPPs are
estimated by WHO.
g.
A new basis for these estimates was provided by new NHA reports, surveys,
National Accounts series, accessed information and/or country consultations.
h.
About 30% of the expenditure in residential facilities for care of the aged has a
health purpose, but this is difficult to estimate routinely and so is not included under
health at present. Such health-purpose expenditure was about US$ 2.1 billion in
2005–2006 or 0.2% of GDP.
i.
Adjustments for currency change (from old to new manat) were made for the entire
Azerbaijan series starting from World Health Statistics 2008.
j.
Fiscal year starts in July and expenditure data have been allocated to the later
calendar year (i.e. 2007 data covers the fiscal year 2006–2007).
k.
Fiscal year starts in April and expenditure data have been allocated to the earlier
calendar year (i.e. 2006 data cover the fiscal year 2006–2007).
l.
Estimates should be viewed with caution as these are derived from scarce data.
m.
Increases in government expenditure on health are due to investment in capital
expenditures.
n.
The change in the trend of Out-of-pocket expenditure in 2008 is driven by a large
decrease in total private consumption in 2008 and a big increase in 2009.
o.
As a result of recent health-care reforms in Georgia, public compulsory insurance
has, since 2008, been implemented by private insurance companies. The voucher
cost of this insurance is treated as general government health expenditure.
p.
Government expenditures show fluctuations due to variations in capital investment.
140
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Member State
Health expenditure ratios a
Per capita health expenditures a,b
Private prepaid
Out-of-pocket
plans as % of private
expenditure as % of
private expenditure on expenditure on health
health
Per capita total
Per capita government Per capita government
Per capita total
expenditure on health expenditure on health f expenditure on health expenditure on health f
at average exchange
at average exchange
(PPP int. $)
(PPP int. $)
ratee (US$)
ratee (US$)
2000
2010
2000
2010
2000
2010
2000
2010
2000
2010
2000
2010
1.7
6.5
0.1
0.1
3
10
11
17
<1
2
<1
3
Minimum
84.7
84.0
8.1
7.2
104
302
248
496
63
173
157
284
Median
100
100
100
80.3
4703
8233
4703
8233
2955
6910
3413
5660
Maximum
55.8
56.6
35.5
31.7
34
89
87
154
15
43
38
73
32.9
30.6
54.6
58.2
1851
3373
1985
3454
829
1682
896
1722
Region of the Americas
88.9
84.0
2.4
5.4
19
58
61
125
6
21
20
43
South-East Asia Region
66.5
68.7
22.2
21.4
938
2217
1215
2282
706
1679
899
1697
European Region
88.4
89.9
5.4
6.3
91
182
171
326
45
97
81
158
Eastern Mediterranean Region
86.2
77.7
7.2
10.2
289
579
296
650
210
398
189
417
Western Pacific Region
83.5
77.7
1.4
1.4
10
28
27
63
4
10
11
24
Low income
90.0
87.8
2.5
4.1
24
72
75
152
8
27
25
55
Lower middle income
79.0
75.1
15.3
16.8
115
384
240
598
55
211
116
332
Upper middle income
38.2
36.1
48.9
52.0
2567
4828
2662
4612
1524
3026
1584
2850
High income
50.0
49.9
38.8
39.3
482
941
564
1017
278
571
318
599
Global
Table 7
African Region
q.
Exchange rate changed in 2002 from multiple to a managed floating exchange rate.
Inter-bank market rate used prior to 2002.
z.
The exchange rate used for the Syrian Arab Republic is the rate for non-commercial
transactions from the Central Bank of Syria.
r.
The estimates do not include expenditures for Northern Iraq.
aa.
s.
The public expenditure on health includes contributions from the United Nations
Relief and Works Agency for Palestine Refugees in the Near East (UNRWA) made to
Palestinian refugees residing in Jordanian territories.
GDP does not include the income from petroleum. Drop in health expenditures from
previous year is mainly due to revision of Out-of-pocket expenditure estimates.
ab.
On 1 January 2009 Turkmenistan introduced the new manat ISO code TMT. The
exchange rate between the old and the new currency is 1 TMT = 5000 TMM. The
entire health expenditure series has been adjusted.
t.
Fiscal year starts in October and expenditure data have been allocated to the later
calendar year (i.e. 2007 data cover the fiscal year 2006–2007).
u.
The market exchange rate is used to estimate the per capita figures.
v.
Total level of government expenditure on health increased due to the inclusion of
local government expenditure, as well as a more-comprehensive estimation of
regional expenditure on health.
w.
The health expenditure data as well as the population data after 2000 do not include
Transdniestria. Data on GDP and private final consumption expenditure exclude
Transdniestria from 1995.
x.
The estimates do not include the expenditures of the provinces of Kosovo and
Metohia, which are under the administration of the United Nations.
y.
Out-of-pocket expenditure figures from the NHA report have been estimated
from the Sierra Leone Integrated Household Survey (SLIHS) 2004. Because the
SLIHS 2010 had been conducted but not yet analysed, the 2004 figures had to be
increased according to inflation to provide a best estimate.
141
142
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
8. Health inequities
In general, the global reporting of health indicators focuses on national averages. However, data on
the distribution of health and health services within countries and between population subgroups
are equally important. Such data help to identify health inequities – unfair and avoidable differences
in health and health service provision – that arise for example from socioeconomic factors (such as
level of education, occupation, and household wealth or income), from geographical location, and/
or from ethnicity and gender.
Table 8 covers data from 82 countries collected during Demographic and Health Surveys (DHS) and
Multiple Indicator Cluster Surveys (MICS) conducted between 2005 and 2011. Six health indicators
are presented – modern contraceptive prevalence; antenatal care coverage; births attended by
skilled health personnel; DTP3 immunization coverage among 1-year-olds; children < 5 years of age
who are stunted; and under-five mortality rate – with data disaggregated according to urban or rural
residence, household wealth, maternal educational level, and where appropriate by the sex of the
child.
Table 8
For household wealth and maternal educational level, point estimates are shown for subgroups
with the highest and lowest levels of these measures. A complete set of disaggregated data on
these and other health indicators is available at the Health Equity Monitor of the WHO Global Health
Observatory.32
32.
Health Equity Monitor, Global Health Observatory. See: http://www.who.int/entity/gho/health_equity/en/index.html
143
8. Health inequities
MDG 5
Source
Contraceptive prevalence:
modern methods a (%)
None
Secondary or higher
Rural
Urban
Lowest
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
10
12
10
14
…e
13
57
82
49
91
…e
80
99
100
98
100
…e
100
Algeria
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Andorra
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Angola
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Antigua and Barbuda
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Argentina
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
19
33
21
38
…e
27
89
96
88
96
…e
93
99
100
99
100
…e
99
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
10
17
11
21
6
14
30
60
20
74
…e
46
81
97
78
100
83 g
89
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
46
52
47
49
46
48
16
38
8
47
7
35
13
37
5
51
4
33
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
52
59
49
59
…e
58
…
…
…
…
…
…
100
100
100
100
…
100
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
99
Albania
Armenia
DHS 2008–2009
DHS 2010
Australia
Austria
Azerbaijan
DHS 2006
Bahamas
Bahrain
Bangladesh
DHS 2007
Barbados
Belarus
MICS 2005
Belgium
None
Highest
…
Afghanistan
Highest
Lowest
Educational
level
of woman
Urban
Wealth
quintile
Rural
Place of
residence
Secondary or higher
Educational
level
of woman
None
Wealth
quintile
Highest
Place of
residence
Lowest
Educational
level
of woman
Urban
Wealth
quintile
Births attended by skilled health
personnel a,c (%)
Rural
Place of
residence
Antenatal care coverage:
at least 4 visits a,b (%)
Secondary or higher
Member State
Belize
MICS 2006
…
…
…
…
…
…
…
…
…
…
…
…
93
99
84
98 e
…
Benin
DHS 2006
5
9
2
13
4
16
55
71
40
87
54
85
74
86
56
97
72
98
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Bhutan
Bolivia (Plurinational State of)
DHS 2008
26
40
23
47
22
43
60
81
50
91
49
85
51
88
38
99
40
91
Bosnia and Herzegovina
MICS 2006
9
16
4
20
3g
14
…
…
…
…
…
…
100
100
99
100
…
100
Botswana
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Brazil
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Brunei Darussalam
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Bulgaria
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Burkina Faso
MICS 2006
8
32
6
36
10
38
…
…
…
…
…
…
51
66
56
65
54
60
Burundi
MICS 2005
7
16
5
12
5
26
…
…
…
…
…
…
32
75
25
55
30
84
Cambodia
DHS 2010
36
31
35
31
34
34
55
80
43
82
40
78
67
95
49
97
47
91
Cameroon
MICS 2006
6
19
2
25
1
24
…
…
…
…
…
…
42
82
19
96
21
90
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
2
17
0
23
2
29
…
…
…
…
…
…
35
83
27
89
34
88
Chad
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Chile
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
China
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
72
73
68
75
63
73
81
91
78
96
61
92
86
98
84
99
71
98
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Canada
Cape Verde
Central African Republic
Colombia
MICS 2006
DHS 2010
Comoros
Congo
DHS 2005
9
16
9
18
6
16
68
82
60
90
55
82
74
97
66
98
62
93
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
6
15
4
19
6
22
…
…
…
…
…
…
40
84
28
95
47
87
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
75
70
…
…
…e
71
…
…
…
…
…
…
…
…
…
…
…
…
Cyprus
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Czech Republic
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Democratic People's Republic of Korea
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
3
10
3
15
2
10
43
53
41
63
37
57
63
91
59
98
59
89
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Cook Islands
Costa Rica
Côte d'Ivoire
MICS 2006
Croatia
Cuba
Democratic Republic of the Congo
Denmark
MICS 2006
DHS 2007
144
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
MDG 4
Educational
level
of mother
Place of
residence
Place of
residence
Rural
Urban
Lowest
Highest
None
Secondary or higher
Male
Female
Rural
Urban
Lowest
Highest
None
Secondary or higher
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Afghanistan
99
100 100
98
99
97
… e 99
17
21
19
20
27
13
…e
17
27
16
28
13
34
13
…f
19
Albania
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Algeria
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Andorra
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Angola
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Antigua and Barbuda
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Argentina
92
91
91
92
92
93g
… e 92
20
18
22
17
26
19
…e
19
21
22
26
19
26
22
…f
22
Armenia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Australia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Austria
31
29
21
38
21
56
… e 29
26
24
30
20
33
15
…e
25
64
49
63
51
63
38
…f
57
Azerbaijan
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Bahamas
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Bahrain
91
91
91
92
92
95
85
95
44
42
45
36
54
26
51
33
75
71
76
62
85
43
91
52
Bangladesh
Male
Female
Educational
level
of mother
Male
Wealth
quintile
Secondary or higher
Sex
None
Educational
level
of mother
Highest
Wealth
quintile
Lowest
Sex
Urban
Wealth
quintile
Rural
Place of
residence
Member State
Female
Sex
Under-five mortality rate a,d (probability
of dying by age 5 per 1000 live births)
Children aged < 5 years who are stunted a
(%)
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Barbados
100
99
100
99
100
99
… e 99
5
4
8
3
10
2
…e
4
…
…
…
…
…
…
…
…
Belarus
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Belgium
76
74
73
78
68 g … e … e 77
24
20
28
15
37
8
…e
15
…
…
…
…
…
…
…
…
Belize
Benin
66
68
62
77
50
87
62
91
46
40
47
36
50
29
47
27
139
132 145
115 151
83 143
79
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Bhutan
86
85
86
84
85
85
85
88
28
26
39
17
45
6
50
15
79
71
98
54
116
31 134
43
Bolivia (Plurinational State of)
94
92
96
88
92
89
… e 93
13
11
12
11
18
8
…e
11
…
…
…
…
…
…
…
…
Bosnia and Herzegovina
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Botswana
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Brazil
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Brunei Darussalam
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Bulgaria
77
80
75
90
73
93
77
90 g 43
36
43
28
48
23
42
18
…
…
…
…
…
…
…
…
Burkina Faso
61
62
61
67
57
62
54
64
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Burundi
85
85
84
90
73
93
67
92
41
37
41
27
49
22
46
31
76
59
75
29
91
30
86
35
Cambodia
71
76
70
78
63
83
61
86
40
34
45
27
51
17
46
24
…
…
…
…
…
…
…
…
Cameroon
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Canada
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Cape Verde
40
40
29
55
22
63
25
63
46
40
47
38
49
31
47
36
…
…
…
…
…
…
…
…
Central African Republic
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Chad
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Chile
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
China
91
90
88
91
85
92
79
91
14
12
17
12
19
7
31
11
24
19
24
21
29
13
53
18
Colombia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Comoros
68
70
55
83
43
91
37
79
32
28
33
26
37
24
40
25
128
118 136
108 134
83 201
102
Congo
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Cook Islands
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Costa Rica
79
78
72
90
62
96
74
87
44
37
46
32
47
27
43
31
…
…
…
…
…
…
…
…
Côte d'Ivoire
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Croatia
92
92
89
93
…
…
… e 93
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Cuba
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Cyprus
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Czech Republic
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Democratic People's Republic of Korea
45
46
36
60
28
74
34
59
47
42
50
36
46
25
51
35
161
148 176
121 182
96 207
113
Democratic Republic of the Congo
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Denmark
145
…
…
…
Table 8
DTP3 immunization coverage
among 1-year-olds a (%)
8. Health inequities
MDG 5
Contraceptive prevalence:
modern methods a (%)
Dominican Republic
DHS 2007
Ecuador
Egypt
None
Secondary or higher
Urban
Lowest
Highest
18
…
…
12
33
…
…
…
…
…
…
40
95
…
…
92
96
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
None
Highest
3
Rural
Lowest
Educational
level
of woman
Urban
Wealth
quintile
Rural
Place of
residence
Secondary or higher
Educational
level
of woman
Highest
Wealth
quintile
72
69
66
69
68
67
94
95
90
97
88
97
93
95
89
98
86
97
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
55
62
52
62
56
58
58
80
42
89
46
76
72
90
55
97
60
87
El Salvador
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Equatorial Guinea
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Eritrea
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Estonia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
23
49
13
48
22
55
14
46
8
46
12
65
5
52
2
46
5
74
Fiji
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Finland
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
France
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Gabon
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Gambia
MICS 2005–2006 …
…
…
…
…
…
…
…
…
…
…
…
43
83
28
89
51
84
16
24
12
28
…e
20
…
…
…
…
…
…
98
99
95
98
…
99
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
15
19
12
21
11
19
71
88
63
94
68
88
43
84
24
95
36
78
Greece
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Grenada
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Guatemala
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Ethiopia
Georgia
DHS 2008
Place of
residence
Lowest
MICS 2006
Dominica
Educational
level
of woman
…
Rural
Djibouti
Wealth
quintile
Births attended by skilled health
personnel a,c (%)
Urban
Place of
residence
Antenatal care coverage:
at least 4 visits a,b (%)
Secondary or higher
Source
None
Member State
DHS 2011
MICS 2005
Germany
Ghana
DHS 2008
Guinea
DHS 2005
4
11
3
13
4
18
43
66
37
70
46
66
26
81
15
87
33
84
Guinea-Bissau
MICS 2006
2
15
1
19
3
25
…
…
…
…
…
…
27
69
19
79
28
80
DHS 2009
Guyana
40
40
31
45
21
41
77
82
72
83
59 g
82
90
98
81
96
71
94
Haiti
DHS 2005–2006 22
28
15
29
18
31
46
67
33
82
36
79
15
47
6
67
9
60
Honduras
DHS 2005–2006 51
62
41
65
46
62
76
87
69
95
62
93
50
90
33
99
37
96
Hungary
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
DHS 2005–2006 45
56
35
58
46
50
28
62
12
77
16
63
37
73
19
89
26
75
58
57
50
58
40
59
75
90
61
96
44
90
63
88
44
95
31
87
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
27
36
…
…
29
39
…
…
…
…
…
…
78
95
…
…
79
96
Ireland
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Israel
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Italy
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
94
98
…
…
…
97
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Iceland
India
Indonesia
DHS 2007
Iran (Islamic Republic of)
Iraq
Jamaica
MICS 2006
MICS 2005
Japan
Jordan
DHS 2007
36
43
35
47
36
42
91
95
90
98
76
95
99
99
98
100
94
99
Kazakhstan
MICS 2006
44
52
40
57
…e
49
…
…
…
…
…
…
100
100
100
100
…
100
Kenya
DHS 2008–2009 37
47
17
48
12
52
44
60
36
63
35
64
37
75
20
81
19
72
Kiribati
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
MICS 2005–2006 45
47
47
48
…e
46
…
…
…
…
…
…
96
100
93
100
…
97
…
…
…
…
…
…
…
…
…
…
…
…
11
68
3
81
3
63
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
MICS 2006
Latvia
Lebanon
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Lesotho
DHS 2009
41
57
29
61
28
55
66
82
58
85
67
79
54
88
35
90
40
80
Liberia
DHS 2007
7
16
3
17
7
18
61
76
55
78
61
77
32
79
26
81
36
76
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Libya
146
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
MDG 4
Place of
residence
Place of
residence
Male
Female
Rural
Urban
Lowest
Highest
None
Secondary or higher
…
58
67
35
31
40
33
…
…
33
37
…
… …
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Dominica
74
73
71
74
68
82
56
77
11
8
13
8
16
4
14
8
40
34 37
37
53
27
56
29
Dominican Republic
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Ecuador
97
98
97
99
97
99
97
99
31
27
30
27
30
27
30
28
38
28 36
29
48
19
44
26
Egypt
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
El Salvador
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Equatorial Guinea
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Eritrea
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Estonia
35
39
33
62
26
64
32
73
46
42
46
31
49
29
47
20
121
97 114
82
136
84 120
36
Ethiopia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Fiji
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Finland
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
France
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Gabon
85
89
87
87
89
90
86
88
29
27
32
19
36
15
29
19
…
… …
…
…
…
…
…
Gambia
63
62
61
64
63
67
…e
63
16
13
17
12
22
8
… e 15
…
… …
…
…
…
…
…
Georgia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Germany
89
89
91
87
89
93
85
91
29
26
32
20
33
14
30
24
93
75 90
75
102
60 102
67
Ghana
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Greece
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Grenada
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Guatemala
52
50
49
59
39
61
49
71
42
37
42
28
44
25
41
23
199
174 203
133 215
113 193
89
Guinea
65
65
62
72
57
78
61
78
48
48
51
41
49
37
51
36
…
… …
…
…
…
…
…
Guinea-Bissau
84
85
83
89
79
87g
… e 87
20
17
21
11
31
10
23
15
41
39 38
46
33
44
…f
36
Guyana
53
55
50
61
46
72
48
69
31
26
34
19
40
7
39
12
105
99 114
77
124
55 122
65
Haiti
93
93
94
92
94
88
89
93
31
27
38
17
50
7
53
9
39
34 43
29
50
20
53
19
Honduras
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Hungary
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Iceland
58
53
51
69
34
82
37
77
48
48
51
40
60
26
57
36
82
88 93
60
116
39 106
49
India
None
…
…
Rural
45 g 61
Female
60
Male
61
None
Secondary or higher
Educational
level
of mother
Highest
Wealth
quintile
Lowest
Sex
Urban
Educational
level
of mother
Highest
Wealth
quintile
Lowest
Sex
Urban
Secondary or higher
Educational
level
of mother
Rural
Wealth
quintile
Female
Place of
residence
Member State
Male
Sex
Under-five mortality rate a,d (probability
of dying by age 5 per 1000 live births)
Children aged < 5 years who are stunted a
(%)
Djibouti
66
68
61
75
45
82
29
76
…
…
…
…
…
…
…
…
55
46 60
38
77
31
93
37
Indonesia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Iran (Islamic Republic of)
60
59
49
67
…
…
44
74
29
26
31
25
…
…
30
23
…
… …
…
…
…
…
…
Iraq
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Ireland
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Israel
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Italy
80
78
79
79
…
…
… e 78
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Jamaica
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Japan
97
98
97
98
97
98
89
98
16
13
17
14
18
9
26
14
22
23 27
21
30
27
27
21
Jordan
97
97
96
98
97
99
… e 97
18
17
20
15
21
12
… e 17
…
… …
…
…
…
…
…
Kazakhstan
83
90
86
88
78
90
82
92
37
33
37
27
44
25
39
25
90
77 85
75
97
69
86
58
Kenya
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Kiribati
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Kuwait
46
49
37
64
25
72
… e 48
19
18
20
15
20
14
… e 18
…
… …
…
…
…
…
…
Kyrgyzstan
40
42
39
56
29
59
30
57
48
47
50
32
58
23
55
31
…
… …
…
…
…
…
…
Lao People's Democratic Republic
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Latvia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Lebanon
84
84
82
91
73
88
… e 88
41
35
40
29
45
28
41 g 31
123
87 111
89
107
81
…f
89
Lesotho
49
52
41
70
30
72
47
70
41
35
41
29
43
25
40
28
147
131 144
129 137
115 149
116
Liberia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
Libya
147
…
…
Table 8
DTP3 immunization coverage
among 1-year-olds a (%)
8. Health inequities
MDG 5
Member State
Source
Contraceptive prevalence:
modern methods a (%)
Lowest
Highest
None
Secondary or higher
Rural
Urban
Lowest
Highest
None
Secondary or higher
Educational
level
of woman
Urban
Wealth
quintile
Rural
Place of
residence
Secondary or higher
Educational
level
of woman
None
Wealth
quintile
Highest
Place of
residence
Lowest
Educational
level
of woman
Urban
Wealth
quintile
Births attended by skilled health
personnel a,c (%)
Rural
Place of
residence
Antenatal care coverage:
at least 4 visits a,b (%)
Lithuania
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Luxembourg
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
DHS 2008–2009
28
36
18
36
18
34
46
70
35
75
37
67
39
82
22
90
23
76
DHS 2010
41
50
35
48
37
48
45
49
41
51
44
52
69
84
63
89
61
88
Madagascar
Malawi
Malaysia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Maldives
DHS 2009
28
26
29
26
36
20
87
80
88
80
83
86
93
99
89
99
85
99
Mali
DHS 2006
4
13
3
16
5
23
28
55
23
64
31
70
12
67
9
75
21
78
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
3
14
1
16
4
19
…
…
…
…
…
…
39
90
21
95
45
92
Mauritius
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Mexico
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Micronesia (Federated States of)
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Monaco
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
64
57
65
53
54
61
…
…
…
…
…
…
99
99
98
100
96
100
MICS 2005–2006 15
18
8
23
…e
19
…
…
…
…
…
…
98
100
98
100
…
99
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Malta
Marshall Islands
Mauritania
Mongolia
Montenegro
MICS 2007
MICS 2005
Morocco
Mozambique
8
22
5
30
6
33
46
72
37
78
43
86
34
81
25
89
31
95
Myanmar
MICS 2008
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Namibia
DHS 2006–2007 43
64
30
68
32
63
68
73
64
76
51
75
72
94
60
98
50
92
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Nauru
Nepal
42
50
36
49
49
37
48
72
28
84
29
75
32
73
11
82
19
63
Netherlands
DHS 2011
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
New Zealand
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Nicaragua
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
81
Niger
DHS 2006
3
18
2
16
3
29
11
35
9
35
12
54
8
71
5
59
13
Nigeria
DHS 2008
6
17
3
22
3
19
34
69
16
81
22
71
28
65
8
86
12
77
Niue
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Norway
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Oman
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
DHS 2006–2007 18
30
12
32
19
28
20
48
10
64
17
61
30
60
16
77
27
74
Palau
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Panama
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Papua New Guinea
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Paraguay
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
DHS 2004–2008 40
53
34
54
34
53
84
93
78
97
80
94
54
94
38
99
46
92
33
35
26
33
9
36
73
83
61
93
32
84
48
77
26
94
11
73
Poland
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Portugal
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Qatar
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Republic of Korea
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
41
48
37
51
…e
44
89
88
85
89
…e
89
99
100
99
100
…e
100
Romania
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Russian Federation
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
45
47
38
50
37
52
35
40
34
42
33
43
67
82
61
86
57
88
Saint Kitts and Nevis
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Saint Lucia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Saint Vincent and the Grenadines
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Samoa
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Pakistan
Peru
Philippines
Republic of Moldova
Rwanda
DHS 2008
DHS 2005
DHS 2010
148
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
MDG 4
Educational
level
of mother
Place of
residence
Place of
residence
Educational
level
of mother
Secondary or higher
Male
Female
Rural
Urban
Lowest
Highest
None
Secondary or higher
Male
Female
Rural
Urban
Lowest
Highest
None
Secondary or higher
Wealth
quintile
None
Sex
Highest
Educational
level
of mother
Lowest
Wealth
quintile
Urban
Sex
Rural
Wealth
quintile
Female
Place of
residence
Member State
Male
Sex
Under-five mortality rate a,d (probability
of dying by age 5 per 1000 live births)
Children aged < 5 years who are stunted a
(%)
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Luxembourg
73
73
71
89
54
93
49
89
53
48
51
43
48
43
49
46
85
78 84
63
106
48
97
54
Madagascar
Malawi
Lithuania
93
94
93
94
91
94
89
97
51
43
48
40
56
35
53
38
136
116 128
113 131
105 136
94
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Malaysia
98
98
98
98
98
97
98
97
19
16
19
15
21
14
23
15
29
25 28
23
28
21
47
12
Maldives
71
65
65
77
65
78
66
86
40
35
42
27
44
22
40
19
222
206 234
156 233
123 223
102
Mali
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Malta
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Marshall Islands
56
57
60
53
54
61
52
64
30
27
32
24
34
20
31
18
…
… …
…
…
…
…
…
Mauritania
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Mauritius
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Mexico
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Micronesia (Federated States of)
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Monaco
90
91
89
91
86
92
94 g 90
29
26
30
25
32
20
38
27
…
… …
…
…
…
…
…
Mongolia
77
84
79
82
81 g 73g
… e 80
8
8
9
7
14
5
…e
6
…
… …
…
…
…
…
…
Montenegro
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Morocco
73
71
67
83
57
86
64
86
47
40
47
35
51
26
49
25
…
… 192
143 196
107 200
84
Mozambique
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Myanmar
84
82
81
86
75
94
62
89
31
26
31
24
38
12
38
23
80
58 75
60
90
30
78
54
Namibia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Nauru
92
91
92
95
88
98
86
97
41
39
42
27
56
25
47
29
62
62 64
45
74
35
73
40
Nepal
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Netherlands
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
New Zealand
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Nicaragua
39
41
35
63
31
63
35
66
58
51
58
35
57
40
56
24
220
213 229
139 204
154 221
90
Niger
36
36
27
55
9
77
11
69
43
38
45
31
52
24
51
27
175
166 190
122 217
88 209
107
Nigeria
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Niue
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Norway
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Oman
62
55
54
68
35
78
48
85
…
…
…
…
…
…
…
…
93
93 100
78
120
59 102
62
Pakistan
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Palau
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Panama
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Papua New Guinea
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Paraguay
81
80
77
83
74
86
82
83
30
26
45
15
55
7
62
16
47
36 55
31
64
4
51 h
30
Peru
87
84
83
88
72
94
36g
90
…
…
…
…
…
…
…
…
41
34 46
28
59
17 135 h
30
Philippines
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Poland
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Portugal
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Qatar
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Republic of Korea
60
57
57
61
57 g 63
… e 59
11
10
11
9
15
7
…e
10
33
20 29
21
28
17
…f
27
Republic of Moldova
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Romania
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Russian Federation
97
97
97
96
96
99
96
98
48
40
46
28
54
26
52
23
104
96 103
80
115
75 123
63
Rwanda
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Saint Kitts and Nevis
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Saint Lucia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
… …
…
…
…
…
…
Saint Vincent and the Grenadines
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Samoa
149
…
Table 8
DTP3 immunization coverage
among 1-year-olds a (%)
8. Health inequities
MDG 5
Member State
Source
Contraceptive prevalence:
modern methods a (%)
Lowest
Highest
None
Secondary or higher
Rural
Urban
Lowest
Highest
None
Secondary or higher
Educational
level
of woman
Urban
Wealth
quintile
Rural
Place of
residence
Secondary or higher
Educational
level
of woman
None
Saudi Arabia
Wealth
quintile
Highest
DHS 2008–2009
Place of
residence
Lowest
Sao Tome and Principe
Educational
level
of woman
Urban
San Marino
Wealth
quintile
Births attended by skilled health
personnel a,c (%)
Rural
Place of
residence
Antenatal care coverage:
at least 4 visits a,b (%)
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
40
28
31
37
15
32
69
76
58
91
53
82
75
89
74
93
73
88
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Senegal
DHS 2010–2011
6
20
4
23
8
26
41
62
32
69
45
67
49
90
30
95
58
88
Serbia
MICS 2005–2006 15
22
10
30
…e
22
…
…
…
…
…
…
99
99
98
100
…
99
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
4
14
3
18
4
20
52
66
49
70
53
68
33
67
28
71
36
73
Singapore
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Slovakia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Slovenia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Solomon Islands
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
0
3
0
4
1
7
…
…
…
…
…
…
15
65
11
77
25
73
South Africa
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
South Sudan
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Spain
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Sri Lanka
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Sudan
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Sudan (former)
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
41
47
29
51
14
51
…
…
…
…
…
…
82
95
81
96
75
95
DHS 2006–2007 45
56
36
59
26
57
78
84
72
85
76
81
70
88
51
92
57
84
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Seychelles
Sierra Leone
Somalia
Suriname
Swaziland
DHS 2008
MICS 2006
MICS 2006
Sweden
Switzerland
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Syrian Arab Republic
MICS 2006
35
48
29
52
34
46
…
…
…
…
…
…
88
98
78
99
77
98
Tajikistan
MICS 2005
31
38
26
39
7
34
…
…
…
…
…
…
81
89
70
91
…
84
MICS 2005–2006 76
72
79
70
63
71
…
…
…
…
…
…
96
99
93
100
81
99
100
Thailand
The former Yugoslav Republic of Macedonia
10
10
8
17
3
14
…
…
…
…
…
…
98
98
95
100
89
DHS 2009–2010 19
28
14
32
15
25
53
63
41
68
44
65
21
59
11
69
14
50
9
14
6
16
7
21
…
…
…
…
…
…
32
85
24
89
36
79
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
37
44
…e
39
…
…
…
…
…
…
…
…
98
100
…
98
Tunisia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Turkey
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Turkmenistan
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Tuvalu
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Timor-Leste
Togo
MICS 2005
MICS 2006
Tonga
Trinidad and Tobago
MICS 2006
Uganda
DHS 2006
15
36
7
38
9
35
45
60
44
64
41
63
38
80
29
77
26
76
Ukraine
DHS 2007
42
50
36
53
…e
48
83
75
84
76
…e
77
98
99
97
99
…e
99
United Arab Emirates
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
United Kingdom
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
25
34
19
38
18
35
39
55
37
59
35
65
42
83
33
90
34
86
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
60
57
61
57
…e
59
…
…
…
…
…
…
100
100
100
100
…
100
United Republic of Tanzania
DHS 2010
United States of America
Uruguay
Uzbekistan
MICS 2006
Vanuatu
MICS 2007
Venezuela (Bolivarian Republic of)
36
41
28
44
20
41
…
…
…
…
…
…
72
87
55
90
51
86
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Viet Nam
MICS 2006
62
56
66
56
58
62
…
…
…
…
…
…
85
98
53
99
60
97
Yemen
MICS 2006
13
34
5
35
16
30
…
…
…
…
…
…
26
62
17
74
27
61
Zambia
DHS 2007
28
42
31
48
27
44
61
59
59
62
56
63
31
83
27
91
23
73
DHS 2010–2011 56
60
52
64
42
60
64
66
60
73
68
68
58
86
48
91
39
75
Zimbabwe
150
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
MDG 4
Educational
level
of mother
Place of
residence
Place of
residence
Educational
level
of mother
Secondary or higher
Male
Female
Rural
Urban
Lowest
Highest
None
Secondary or higher
Male
Female
Rural
Urban
Lowest
Highest
None
Secondary or higher
Wealth
quintile
None
Sex
Highest
Educational
level
of mother
Lowest
Wealth
quintile
Urban
Sex
Rural
Wealth
quintile
Female
Place of
residence
Member State
Male
Sex
Under-five mortality rate a,d (probability
of dying by age 5 per 1000 live births)
Children aged < 5 years who are stunted a
(%)
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
San Marino
88
87
86
89
86
91
… e 88
29
30
28
30
37
19
27
25
86
55
67
74
86
28
…f
46
Sao Tome and Principe
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Saudi Arabia
84
81
82
84
75
88
81
95
28
25
31
20
35
15
30
12
89
82
100
61 117
54
96
37
Senegal
Serbia
85
85
85
86
84
88
… e 86
8
8
8
8
12
6
…e
7
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Seychelles
62
60
58
70
56
73
57
76
38
33
38
28
35
22
38
23
176
160
168
167 212
144 170
132
Sierra Leone
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Singapore
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Slovakia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Slovenia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Solomon Islands
16
12
7
26
5
29
11
25 g 43
41
47
32
51
25
45
26
…
…
…
…
…
…
…
…
Somalia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
South Africa
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
South Sudan
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Spain
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Sri Lanka
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Sudan
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Sudan (former)
87
87
86
88
85
95
80
90
11
10
14
8
17
4
23
7
…
…
…
…
…
…
…
…
Suriname
93
90
92
91
92
89
91 g 93
31
25
29
23
37
17
39
22
109
104
106
108 120
102 151
96
Swaziland
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Sweden
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Switzerland
74
76
74
76
62
80
54
81
30
27
29
28
36
26
36
24
…
…
…
…
…
…
…
…
Syrian Arab Republic
86
80
82
87
81
84
… e 84
35
31
34
31
38
25
45 g 33
…
…
…
…
…
…
…
…
Tajikistan
95
94
95
93
95
93
94
95
16
15
17
12
21
9
20
13
…
…
…
…
…
…
…
…
Thailand
80
83
81
81
73
77
58
88
13
9
12
11
15
6
23
8
…
…
…
…
…
…
…
…
The former Yugoslav Republic of Macedonia
69
64
65
71
55
73
57
75
60
56
60
49
63
47
63
52
83
76
86
59
87
52
89
66
Timor-Leste
65
63
59
71
58
75
51
79
32
27
35
22
37
19
34
22
…
…
…
…
…
…
…
…
Togo
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Tonga
68
72
…
…
67 g 62 g … e 72
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Trinidad and Tobago
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Tunisia
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Turkey
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Turkmenistan
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Tuvalu
63
65
64
67
64
65
58
74
40
34
39
26
43
25
41
23
159
129
148
117 165
111 165
92
Uganda
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
23
13
19
18
23 h
9
…f
19
Ukraine
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
United Arab Emirates
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
United Kingdom
88
88
86
97
84
97
79
96
45
38
44
31
48
27
45
22
97
88
91
95 104
84
96
74
United Republic of Tanzania
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
United States of America
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Uruguay
93
93
95
88
92
89
… e 93
19
20
20
19
21
16
… e 20
…
…
…
…
…
…
…
…
Uzbekistan
Vanuatu
64
63
62
69
46
67
37 g 71
31
20
26
26
28
24
28
25
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Venezuela (Bolivarian Republic of)
79
79
75
95
56
95
46
85
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Viet Nam
55
52
47
69
35
86
46
77
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Yemen
82
80
77
90
78
95
70
90
48
42
48
39
48
34
45
37
151
122
138
131 124
108 145
104
Zambia
72
75
73
76
67
81
… e 77
35
27
32
28
35
24
38
30
88
68
78
77
57
71
Zimbabwe
151
86
…f
Table 8
DTP3 immunization coverage
among 1-year-olds a (%)
8. Health inequities
MDG 5
Member State
Source
Contraceptive prevalence:
modern methods a (%)
Lowest
Highest
None
Secondary or higher
4
1
7
11
35
8
35
7
35
5
37
2
46
3
33
21
38
17
35
56
72
47
79
45
77
61
88
49
95
40
88
Maximum
76
73
79
75
68
73
94
96
90
98
88
97
100
100
100
100
96
100
None
0
35
Highest
3
27
Lowest
0
Median
Urban
Minimum
Rural
Urban
Educational
level
of woman
Rural
Wealth
quintile
Secondary or higher
Place of
residence
None
Educational
level
of woman
Highest
Wealth
quintile
Lowest
Place of
residence
Urban
Educational
level
of woman
Rural
Wealth
quintile
Births attended by skilled health
personnel a,c (%)
Secondary or higher
Place of
residence
Antenatal care coverage:
at least 4 visits a,b (%)
Ranges of country values
a.
b.
Data are derived from the re-analysis of publicly available Demographic and Health
Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) micro-data, using the
standard indicator definitions as published in DHS or UNICEF documentation. The
analysis was carried out by the International Center for Analysis and Monitoring of
Equity in Health and Nutrition based in the Federal University of Pelotas, Brazil, and
updated in December 2012. In some cases there may be slight differences between
these results and those reported in DHS or MICS country reports due to differences
in the calculation of indicator numerators and/or denominators.
c.
Data derived from DHS relate to births occurring in the five years preceding the
survey. Data derived from MICS relate to births occurring in the two years preceding
the survey.
d.
The under-five mortality rate relates to the decade preceding the survey.
e.
The figure is not reported as it is based on fewer than 25 cases.
f.
The figure is not reported as it is based on fewer than 250 unweighted person-years
of exposure to the risk of death.
Data derived from DHS relate to the most recent live births occurring in the five years
preceding the survey.
g.
The figure is based on a small number of cases (25–49 unweighted cases).
h.
The figure is based on 250–499 unweighted person-years of exposure to the risk of
death.
152
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
MDG 4
DTP3 immunization coverage
among 1-year-olds a (%)
Place of
residence
Educational
level
of mother
Place of
residence
Educational
level
of mother
Place of
residence
Educational
level
of mother
None
Secondary or higher
Male
Female
Rural
Urban
Highest
None
Secondary or higher
29
11
29
8
5
4
8
3
2
14
4
21
13
19
13
26
4
27
12
Minimum
72
87
60
86
35
31
27
34
26
20
40
23
86
76
88
69
104
53 106
56
Median
100
100
100
99
100
99
98
99
60
60
56
60
49
47
63
52
222
213
234
167
233
154 223
132
Maximum
Table 8
Lowest
Highest
5
83
Lowest
26
75
Urban
7
78
Rural
Secondary or higher
12
77
Female
None
16
Male
Highest
Wealth
quintile
Lowest
Sex
Urban
Wealth
quintile
Rural
Sex
Female
Wealth
quintile
Member State
Male
Sex
Under-five mortality rate a,d (probability
of dying by age 5 per 1000 live births)
Children aged < 5 years who are stunted a
(%)
153
154
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
9. Demographic and socioeconomic
statistics
Table 9 presents data on demographic and socioeconomic factors that are major determinants of
health. The table includes four MDG-related indicators – adolescent fertility; primary school enrolment; population living in poverty; and cellular phone subscriber rates. The table also includes data
on demographics (such as population size, growth and degree of urbanization); crude birth and
death rates; coverage of civil registration of births and underlying cause of death; adult literacy; and
per capita gross national income. In addition to their intrinsic value, such data are also important
in making other statistics comparable across countries. For example, data on disease incidence,
prevalence and mortality rates – and on the availability of health-system resources – all require reliable population-based denominators.
Table 9
These demographic and socioeconomic statistics have been derived from data produced by a
range of national and international organizations. The latter include the United Nations International
Telecommunication Union (ITU), the United Nations Department of Economic and Social Affairs (UNDESA), the United Nations Educational, Scientific and Cultural Organization (UNESCO), the United
Nations Children’s Fund (UNICEF) and the World Bank. Estimates are based on a combination
of administrative records, population-based surveys, censuses and civil-registration data, and on
statistical modelling to adjust for missing values. For more information on the sources and methods
used for a particular indicator, please refer to the relevant footnotes below and to the web site of the
relevant organization.
155
9. Demographic and socioeconomic statistics
Member State
Population
Civil registration coverage
(%)
Total a
(000s)
Median a
age
(years)
Aged
under 15 a
(%)
Aged
over 60 a
(%)
Annual
Living in
growth rate a urban areas b
(%)
(%)
2011
2011
2011
2011
2001–2011
Births c
2011
Causes of
death d
2005–2011
Crude birth
rate a
(per 1000
population)
2011
Afghanistan
32 358
17
46
4
3.1
24
37
…
43.1
Albania
3 216
30
22
13
0.4
53
99
…
12.7
19.8
Algeria
35 980
27
27
7
1.5
73
99
…
Andorra
86
…
15
22
2.6
87
>90 j
>80
10.0 k
Angola
19 618
17
46
4
3.1
59
…
…
40.8
90
…
23
10
1.3
30
>90 j
82
16.0 k
Argentina
40 765
31
25
15
0.9
93
>90
Armenia
3 100
32
20
15
0.1
64
100
Australia
22 606
37
19
19
1.5
89
Austria
8 413
42
15
23
0.5
Azerbaijan
9 306
30
21
9
1.3
Antigua and Barbuda
99
17.0
71
15.2
>90 j
98
13.6
68
>90
100
8.8
54
94
85
19.8
15.4
j
j
Bahamas
347
31
22
11
1.4
84
…
100
Bahrain
1 324
31
20
4
7.2
89
>90 j
100
18.9
150 494
25
31
7
1.3
28
10
…
20.0
Barbados
274
38
17
17
0.2
44
>90 j
100
10.9
Belarus
9 559
38
15
19
–0.5
75
>90 j
100
11.2
Belgium
10 754
41
17
24
0.5
97
>90 j
100
11.4
Belize
318
22
34
6
2.1
45
95
99
24.3
Benin
9 100
18
44
5
3.0
45
60
…
39.1
Bhutan
738
25
29
7
2.3
36
100
…
20.1
Bolivia (Plurinational State of)
10 088
22
36
7
1.7
67
76
…
26.1
Bosnia and Herzegovina
3 752
40
15
20
0.0
48
100
88
8.4
Botswana
2 031
23
32
6
1.3
62
72
…
23.3
15.2
Bangladesh
Brazil
196 655
30
25
11
1.1
85
93
94
406
29
26
6
1.9
76
>90 j
92
18.8
Bulgaria
7 446
42
14
25
–0.7
73
>90 j
100
10.1
Brunei Darussalam
Burkina Faso
16 968
17
45
4
2.9
27
77
…
42.9
Burundi
8 575
20
38
5
2.8
11
75
…
33.7
Cambodia
14 305
23
31
6
1.2
20
62
…
22.1
Cameroon
20 030
19
40
5
2.2
52
70
…
35.7
Canada
34 350
40
16
20
1.0
81
>90 j
100
11.3
501
23
31
7
1.2
63
91
…
20.3
Central African Republic
4 487
20
40
6
1.7
39
61
…
34.7
Chad
11 525
17
45
5
3.0
22
16
…
44.2
Chile
17 270
32
22
13
1.0
89
100
97
14.2
China
1 355 243
35
19
13
0.5
51
…
4
12.1
Colombia
46 927
27
28
9
1.5
75
97
100
19.4
Cape Verde
Comoros
754
19
43
4
2.7
28
…
…
36.8
Congo
4 140
20
41
6
2.5
64
81
…
35.0
Cook Islands
20
…
32
9
1.3
74
>90 j
90
15.0 k
Costa Rica
4 727
29
24
10
1.7
65
>90 j
87
15.5
Côte d'Ivoire
20 153
19
41
6
1.8
51
55
…
33.6
Croatia
4 396
42
15
24
–0.2
58
>90 j
100
9.8
Cuba
11 254
39
17
17
0.1
75
100
100
9.7
Cyprus
1 117
35
18
17
1.5
70
>90 j
85
11.6
Czech Republic
10 534
40
14
22
0.3
73
>90 j
100
11.0
Democratic People's Republic of Korea
24 451
33
22
14
0.6
60
100
…
14.2
Democratic Republic of the Congo
67 758
17
46
4
2.8
34
28
…
42.9
156
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
MDG 2
MDG 1
Net primary school
enrolment rate f
(%)
Gross
Population Cellular phone
national
living on <$1 subscribers i
income per (PPP int. $)
(per 100
capita g
a day h
population)
(PPP int. $)
(%)
Male
Female
2011
2011
2005–2010
2005–2011
2005–2011
2011
8.9
6.2
90
…
…
…
8.5
1.5
11
96
…
…
4.9
2.2
4
73
98
8.0
1.4 k
…
…
13.6
5.3
165
6.4
2.1 k
7.8
2.2
12.6
6.5
MDG 8
Member State
2005–2008
2011
1 140
…
54
Afghanistan
8 820
<2.0
96
Albania
97
8 310
…
99
Algeria
77
77
…
…
75
Andorra
70
93 l
78 l
5 230
…
48
Angola
…
99 m
87 n
85 n
17 900
…
196
Antigua and Barbuda
68
98
…
…
17 130
<2.0
135
Argentina
1.7
28
100
81
82
6 100
<2.0
104
Armenia
2.0
16
…
97
98
38 110
…
108
Australia
8.7
1.4
10
…
…
…
42 050
…
155
Austria
7.0
2.2
41
100
88 l
86 l
8 960
<2.0
109
Azerbaijan
5.6
1.9
41
…
94
96
…
…
86
Bahamas
1.9
2.5
12
92
99
100
…
…
128
Bahrain
5.8
2.2
…
57
…
…
1 940
49.6
56
Bangladesh
7.4
1.6
50
…
90
97
…
…
127
Barbados
13.3
1.5
21
100
…
…
14 460
<2.0
112
Belarus
9.4
1.8
11
…
99
99
39 190
…
117
Belgium
4.4
2.7
…
…
100 n
91
6 090
…
70
Belize
10.6
5.2
…
42
…
…
1 620
…
85
Benin
6.8
2.3
59
53
88
91
5 570
…
66
Bhutan
6.9
3.3
89
91
91 n
91 n
4 890
13.6
83
Bolivia (Plurinational State of)
10.6
1.1
17
98
89
91
9 190
<2.0
85
Bosnia and Herzegovina
7.1
2.7
51
84
87 n
88 n
14 550
…
143
Botswana
6.2
1.8
71
90
95
97
11 420
3.8
124
Brazil
3.3
2.0
18
95
…
…
…
…
109
Brunei Darussalam
13.6
1.5
48
98
99
100
14 160
<2.0
141
Bulgaria
11.3
5.8
130
29
65
61
1 300
…
45
Burkina Faso
12.5
4.2
65
67
91 n
89 n
610
81.3
22
Burundi
Cambodia
7.2
2.5
48
74
100
97
2 230
28.3
96
13.2
4.4
127
71
100 n
87 n
2 330
9.6
52
Cameroon
7.1
1.7
14
…
…
…
39 660
…
80
Canada
6.0
2.3
…
84
95
92
3 980
…
79
Cape Verde
15.9
4.5
…
56
78
60
810
62.8
41
Central African Republic
14.3
5.9
…
34
…
…
1 360
…
32
Chad
5.6
1.8
53
99
94
94
16 330
<2.0
130
Chile
6.5
1.6
6
94
…
…
8 390
15.9
73
China
4.2
2.3
85
93
90
90
9 560
16.0
98
Colombia
8.1
4.9
…
75
81
75
1 110
…
29
Comoros
10.5
4.5
…
…
95
90
3 240
54.1
94
Congo
4.3
2.4 k
…
…
98 l
99 l
…
…
…
Cook Islands
4.3
1.8
67
96
…
…
11 860
<2.0
92
Costa Rica
11.4
4.3
111
56
67
56
1 710
23.8
86
Côte d'Ivoire
11.7
1.5
13
99
95
97
18 760
<2.0
116
Croatia
7.9
1.5
51
100
98
98
…
…
12
Cuba
5.5
1.5
4
98
99 l
99 l
…
…
98
Cyprus
9.6
1.5
11
…
…
…
24 370
…
123
Czech Republic
10.0
2.0
1
100
…
…
…
…
4
Democratic People's Republic of Korea
15.2
5.7
135
67
…
…
340
59.2
23
Democratic Republic of the Congo
157
Table 9
MDG 5
Crude death Total fertility Adolescent Literacy rate
rate a
fertility rate e among adults
rate d
aged
(per 1000 (per woman) (per 1000
≥15 years f
population)
girls aged
15–19
(%)
years)
9. Demographic and socioeconomic statistics
Member State
Population
Civil registration coverage
(%)
Crude birth
rate a
(per 1000
population)
Total a
(000s)
Median a
age
(years)
Aged
under 15 a
(%)
Aged
over 60 a
(%)
Annual
Living in
growth rate a urban areas b
(%)
(%)
2011
2011
2011
2011
2001–2011
2011
Denmark
5 573
41
18
24
0.4
87
>90 j
99
11.4
Djibouti
906
22
35
6
1.9
77
89
…
28.7
Dominica
68
…
23
10
–0.2
67
>90 j
100
16.0 k
Births c
Causes of
death d
2005–2011
2011
Dominican Republic
10 056
25
31
9
1.4
70
79
59
21.4
Ecuador
14 666
26
30
9
1.6
67
90
87
20.3
Egypt
82 537
25
31
8
1.8
43
99
100
22.8
El Salvador
6 227
24
31
10
0.4
65
99
76
20.2
720
20
39
4
2.9
39
…
…
36.4
Eritrea
5 415
19
42
4
3.5
21
…
…
35.5
Estonia
1 341
40
16
23
–0.2
69
>90 j
100
12.1
Ethiopia
84 734
19
41
5
2.3
17
7
…
30.8
868
27
29
8
0.6
52
>90 j
100
21.2
Finland
5 385
42
16
25
0.4
84
>90 j
100
11.3
France
63 126
40
18
23
0.6
86
>90 j
100
12.6
Equatorial Guinea
Fiji
Gabon
1 534
22
35
7
1.9
86
…
…
27.1
Gambia
1 776
18
44
3
2.8
57
53
…
37.6
Georgia
4 329
38
17
19
–0.8
53
99
87
11.8
Germany
82 163
45
13
26
0.0
74
>90 j
100
8.5
Ghana
24 966
21
38
6
2.4
52
63
…
31.1
Greece
11 390
42
15
25
0.3
61
>90 j
100
10.3
Grenada
105
25
27
10
0.3
39
…
100
19.4
Guatemala
14 757
19
41
6
2.5
50
97
88
32.0
Guinea
10 222
18
43
5
1.9
35
43
…
38.4
Guinea-Bissau
1 547
19
41
5
2.0
44
24
…
37.9
Guyana
756
24
32
7
0.3
28
88
77
17.8
Haiti
10 124
22
36
7
1.4
53
81
…
26.3
Honduras
7 755
21
36
6
2.0
52
94
…
26.3
Hungary
9 966
40
15
23
–0.2
69
>90 j
100
10.0
Iceland
324
35
21
17
1.3
94
>90
100
14.8
1 241 492
25
30
8
1.5
31
41
8
21.8
Indonesia
242 326
28
27
8
1.1
51
53
…
17.9
Iran (Islamic Republic of)
74 799
28
23
8
1.2
69
>90 j
69
16.8
Iraq
32 665
18
43
5
2.9
66
95
53
34.9
Ireland
4 526
35
21
17
1.6
62
>90 j
99
16.0
Israel
7 562
30
27
15
2.1
92
>90 j
100
20.7
Italy
60 789
44
14
27
0.6
68
>90 j
100
9.2
Jamaica
2 751
27
29
11
0.5
52
98
74
18.2
Japan
126 497
45
13
31
0.0
91
>90 j
100
8.5
Jordan
6 330
21
37
6
2.5
83
>90 j
61
24.5
Kazakhstan
16 207
29
25
10
0.8
54
100
91
21.3
Kenya
41 610
19
42
4
2.6
24
60
…
37.4
Kiribati
101
…
30
7
1.7
44
94
…
23.0 k
India
Kuwait
2 818
29
27
4
3.4
98
>90
Kyrgyzstan
5 393
24
30
6
0.8
35
94
Lao People's Democratic Republic
6 288
22
34
6
1.5
34
Latvia
2 243
40
14
23
–0.5
68
j
100
17.9
99
24.4
72
…
22.3
>90 j
100
10.8
j
Lebanon
4 259
30
24
11
1.1
87
100
…
15.2
Lesotho
2 194
20
37
6
1.0
28
45
…
27.5
158
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
2005–2010
2005–2011
MDG 2
MDG 1
Net primary school
enrolment rate f
(%)
Gross
Population Cellular phone
national
living on <$1 subscribers i
income per (PPP int. $)
(per 100
capita g
a day h
population)
(PPP int. $)
(%)
Male
Female
2011
2011
2005–2011
2011
9.6
1.9
5
…
95
97
9.9
3.7
…
…
55
49
6.6
2.1 k
48
…
96 n
97 n
6.5
2.5
…
90
93
91
4.9
2.4
…
92
…
5.1
2.7
50
72
6.9
2.2
65
84
12.7
5.1
…
7.6
4.4
11.1
8.8
MDG 8
Member State
2005–2008
2011
41 900
…
128
Denmark
…
…
21
Djibouti
13 000
…
164
Dominica
9 420
4.3
87
Dominican Republic
…
8 510
4.4
105
Ecuador
…
…
6 120
<2.0
101
Egypt
96
96
6 640
5.1
134
El Salvador
94
59
59
25 620
…
59
Equatorial Guinea
…
68
40
34
580
…
4
Eritrea
1.7
21
100
98
97
20 850
…
139
Estonia
4.0
79
39
90 n
84 n
1 110
39.0
17
Ethiopia
6.7
2.6
…
…
98
100
4 610
…
84
Fiji
8.9
1.9
8
…
98
98
37 670
…
166
Finland
8.4
2.0
12
…
99
99
35 910
…
95
France
8.9
3.2
…
88
…
…
13 740
4.8
117
Gabon
9.0
4.8
…
50
68
71
1 750
…
79
Gambia
13.0
1.5
44
100
96
94
5 350
15.3
102
Georgia
10.2
1.4
9
…
…
…
40 230
…
132
Germany
8.0
4.1
70
67
84 n
85 n
1 810
30.0
85
Ghana
9.2
1.5
12
97
99
99
25 100
…
106
Greece
6.2
2.2
…
…
96
99
10 350
…
…
Grenada
5.9
3.9
92
75
99
97
4 760
11.7
140
Guatemala
12.2
5.2
…
41
89
78
1 020
43.3
44
Guinea
15.1
5.0
…
54
77
73
1 240
…
56
Guinea-Bissau
9.0
2.2
97
…
81
85
…
…
70
Guyana
8.5
3.3
…
49
…
…
1 180
…
41
Haiti
4.5
3.1
…
85
97
98
3 820
23.3
104
Honduras
12.4
1.4
19
99
98
98
20 310
<2.0
117
Hungary
6.0
2.1
15
…
99
99
31 020
…
106
Iceland
8.0
2.6
39
63
99 n
98 n
3 590
41.6
72
India
6.9
2.1
52
93
97 n
93 n
4 500
18.7
103
Indonesia
5.3
1.6
31
85
98 n
96 n
…
<2.0
75
Iran (Islamic Republic of)
5.5
4.6
68
78
94 n
84 n
3 750
4.0
78
Iraq
6.2
2.1
16
…
99
100
34 180
…
108
Ireland
5.2
2.9
14
…
97
98
27 110
…
122
Israel
9.5
1.4
6
99
100
99
32 400
…
158
Italy
6.4
2.3
72
87
83
81
…
…
108
Jamaica
9.8
1.4
5
…
…
…
35 330
…
105
Japan
4.0
3.0
32
93
91
91
5 930
<2.0
118
Jordan
10.0
2.5
31
100
99
100
11 250
<2.0
156
Kazakhstan
8.9
4.7
106
87
84 n
85 n
1 710
19.7
67
Kenya
7.2
2.8 k
39
…
…
…
3 300
…
14
Kiribati
1.9
2.3
14
94
97
100
…
…
175
Kuwait
6.8
2.7
31
99
96
96
2 180
<2.0
116
Kyrgyzstan
6.1
2.7
110
73
98
96
2 580
33.9
87
Lao People's Democratic Republic
13.6
1.5
15
100
95
96
17 700
…
103
Latvia
6.7
1.8
…
90
97
97
14 470
…
79
Lebanon
14.2
3.1
92
90
73 n
76 n
2 050
…
56
Lesotho
159
Table 9
MDG 5
Crude death Total fertility Adolescent Literacy rate
rate a
fertility rate e among adults
rate d
aged
(per 1000 (per woman) (per 1000
≥15 years f
population)
girls aged
15–19
(%)
years)
9. Demographic and socioeconomic statistics
Member State
Population
Civil registration coverage
(%)
Crude birth
rate a
(per 1000
population)
Total a
(000s)
Median a
age
(years)
Aged
under 15 a
(%)
Aged
over 60 a
(%)
Annual
Living in
growth rate a urban areas b
(%)
(%)
2011
2011
2011
2011
2001–2011
2011
Liberia
4 129
18
44
4
3.4
48
4
…
38.5
Libya
6 423
26
31
7
1.9
78
…
…
22.6
Lithuania
3 307
39
15
21
–0.5
67
>90 j
100
10.6
Luxembourg
516
39
18
19
1.6
85
>90 j
100
11.6
Madagascar
21 315
18
43
5
3.0
33
80
…
35.0
44.4
Births c
Causes of
death d
2005–2011
2011
Malawi
15 381
17
46
5
2.9
16
…
…
Malaysia
28 859
26
30
8
1.9
73
>90 j
58
20.0
Maldives
320
25
26
7
1.4
41
93
89
16.6
Mali
15 840
16
47
4
3.1
35
81
…
45.9
Malta
418
40
15
22
0.4
95
>90
Marshall Islands
55
…
30
7
0.5
72
96
j
99
9.1
…
29.0 k
33.3
Mauritania
3 542
20
40
4
2.6
41
56
…
Mauritius
1 307
33
21
11
0.8
42
>90 j
100
12.6
Mexico
114 793
27
29
9
1.2
78
…
93
19.1
Micronesia (Federated States of)
112
21
36
6
0.4
23
…
…
24.4
Monaco
35
…
18
23
0.0
100
…
>80
7.0 k
Mongolia
2 800
26
28
6
1.4
69
99
95
23.3
Montenegro
632
36
19
18
0.0
63
98
98
12.2
Morocco
32 273
27
28
8
1.0
57
…
27
19.2
Mozambique
23 930
18
44
5
2.5
31
31
…
37.1
Myanmar
48 337
29
25
8
0.6
33
72
…
17.0
Namibia
2 324
21
36
6
1.8
38
67
…
25.8
Nauru
10
…
30
7
0.2
100
83
…
28.0 k
23.7
Nepal
30 486
22
35
6
2.0
17
42
…
Netherlands
16 665
41
17
22
0.4
83
>90 j
100
10.9
New Zealand
4 415
37
20
19
1.2
86
>90 j
100
14.6
Nicaragua
5 870
22
34
6
1.3
58
81
68
23.4
Niger
16 069
16
49
4
3.5
18
32
…
48.2
Nigeria
162 471
18
43
5
2.5
50
30
…
39.7
1
…
32
9
–2.6
38
>90 j
…
…
Norway
4 925
39
19
21
0.9
79
>90 j
100
12.4
Oman
2 846
26
27
4
2.2
73
…
70
17.5
Pakistan
Niue
176 745
22
35
6
1.8
36
27
…
26.9
Palau
21
…
30
7
0.6
84
…
…
11.0 k
Panama
3 571
28
29
10
1.7
75
>90
96
19.6
Papua New Guinea
7 014
21
39
5
2.4
12
…
…
29.7
Paraguay
6 568
23
33
8
1.9
62
…
83
24.0
Peru
29 400
26
30
9
1.1
77
93
66
20.1
Philippines
94 852
22
35
6
1.8
49
>90 j
92
24.8
Poland
38 299
38
15
20
0.0
61
>90 j
100
10.7
Portugal
10 690
41
15
24
0.3
61
>90 j
100
9.0
j
81
12.2
j
Qatar
1 870
32
14
2
11.2
99
>90
Republic of Korea
48 391
38
16
16
0.5
83
>90 j
98
9.9
Republic of Moldova
3 545
35
17
16
–1.3
48
>90 j
94
12.3
Romania
21 436
39
15
21
–0.3
53
>90 j
100
10.3
Russian Federation
142 836
38
15
18
–0.2
74
>90 j
100
11.8
Rwanda
10 943
19
43
4
2.6
19
63
…
40.9
53
…
23
10
1.3
32
…
94
14.0 k
Saint Kitts and Nevis
160
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
MDG 2
MDG 1
Net primary school
enrolment rate f
(%)
Gross
Population Cellular phone
national
living on <$1 subscribers i
income per (PPP int. $)
(per 100
capita g
a day h
population)
(PPP int. $)
(%)
Male
Female
2005–2011
2011
2005–2008
MDG 8
Member State
2011
2011
2005–2010
2005–2011
2011
9.1
5.2
177
61
42
40
540
83.7
49
Liberia
7.9
2.5
…
89
…
…
…
…
156
Libya
12.3
1.5
17
100
94
93
19 640
<2.0
151
Lithuania
6.8
1.7
7
…
94
96
64 260
…
148
Luxembourg
6.5
4.6
147
64
…
…
950
67.8
41
Madagascar
10.1
6.0
157
75
91
98
870
…
26
Malawi
4.8
2.6
14
93
96
96
15 650
<2.0
127
Malaysia
3.8
1.7
18
98
94
95
7 430
…
166
Maldives
14.1
6.2
…
31
72
63
1 040
51.4
68
Mali
Malta
7.7
1.3
20
92
93
94
…
…
125
12.5
3.4 k
105
…
…
…
…
…
…
Marshall Islands
9.5
4.5
…
58
73
77
2 400
…
94
Mauritania
6.7
1.6
31
89
…
…
14 330
…
99
Mauritius
5.4
2.3
87
93
99
100
15 390
<2.0
82
Mexico
6.3
3.4
…
…
…
…
3 580
…
…
Micronesia (Federated States of)
8.4
1.5 k
…
…
…
…
…
…
90
Monaco
6.6
2.5
20
97
99
98
4 290
22.4
105
Mongolia
9.5
1.6
23
98
97
95
13 700
<2.0
…
Montenegro
85 n
4 880
2.5
113
Morocco
970
59.6
33
Mozambique
5.7
2.2
18
56
90 n
12.7
4.8
…
56
92
88
8.5
2.0
…
92
…
…
…
…
3
Myanmar
7.1
3.2
…
89
84
88
6 560
…
96
Namibia
5.4
3.1 k
84
…
…
…
…
…
65
Nauru
6.0
2.7
81
60
…
…
1 260
…
44
Nepal
7.9
1.8
5
…
100
99
43 140
…
…
Netherlands
6.5
2.2
29
…
99
100
…
…
109
New Zealand
4.9
2.6
109
78
93
95
3 730
15.8
82
Nicaragua
11.3
7.0
…
29
70 n
57 n
720
43.1
30
Niger
55 n
13.1
5.5
123
61
60 n
2 290
…
59
Nigeria
6.0
…k
16
…
…
…
…
…
…
Niue
8.1
1.9
10
…
99
99
61 460
…
116
Norway
3.8
2.2
12
87
98
97
…
…
169
Oman
65 l
2 870
22.6
62
Pakistan
…
11 080
…
75
Palau
7.0
3.3
16
55
79 l
5.4
1.7 k
27
…
…
4.7
2.5
88
94
98
97
14 510
2.4
189
Panama
7.4
3.9
…
61
…
…
2 570
…
34
Papua New Guinea
4.7
2.9
63
94
84
84
5 390
5.1
99
Paraguay
4.5
2.5
72
90
97
97
9 440
5.9
110
Peru
5.5
3.1
53
95
88
90
4 140
22.6
99
Philippines
10.0
1.4
16
100
97
97
20 430
<2.0
131
Poland
9.7
1.3
16
95
99
100
24 440
…
115
Portugal
1.4
2.2
15
96
95
95
86 440
…
123
Qatar
5.5
1.4
2
…
99 n
98 n
30 370
…
109
Republic of Korea
11.8
1.5
26
99
91 l
90 l
3 640
<2.0
105
Republic of Moldova
11.7
1.4
41
98
88
87
15 120
<2.0
109
Romania
14.6
1.5
30
100
95
96
20 560
<2.0
179
Russian Federation
92 n
1 270
76.8
41
Rwanda
89
16 470
…
…
Saint Kitts and Nevis
9.0
5.3
41
71
89 n
7.4
1.8 k
…
…
86
161
Table 9
MDG 5
Crude death Total fertility Adolescent Literacy rate
rate a
fertility rate e among adults
rate d
aged
(per 1000 (per woman) (per 1000
≥15 years f
population)
girls aged
15–19
(%)
years)
9. Demographic and socioeconomic statistics
Member State
Population
Civil registration coverage
(%)
Total a
(000s)
Median a
age
(years)
Aged
under 15 a
(%)
Aged
over 60 a
(%)
Annual
Living in
growth rate a urban areas b
(%)
(%)
2011
2011
2011
2011
2001–2011
Births c
2011
Causes of
death d
2005–2011
Crude birth
rate a
(per 1000
population)
2011
Saint Lucia
176
28
26
10
1.0
18
…
99
Saint Vincent and the Grenadines
109
28
26
10
0.1
49
>90 j
100
16.8
Samoa
184
21
37
7
0.3
20
48
…
24.2
San Marino
32
…
14
27
1.4
94
>90 j
>80
9.0 k
Sao Tome and Principe
17.4
169
19
40
5
1.6
63
75
…
30.7
Saudi Arabia
28 083
26
30
5
3.1
82
…
44
21.5
Senegal
12 768
18
44
4
2.7
43
75
…
36.8
Serbia
9 854
38
17
20
–0.2
56
99
86
11.2
Seychelles
87
…
23
11
0.9
54
>90 j
100
15.0 k
Sierra Leone
5 997
18
43
4
3.3
39
78
…
37.8
Singapore
5 188
38
17
15
2.6
100
>90 j
76
9.2
Slovakia
5 472
37
15
18
0.1
55
>90 j
100
10.6
Slovenia
2 035
42
14
23
0.2
50
>90 j
100
10.0
Solomon Islands
Somalia
552
20
40
5
2.7
20
…
…
31.3
9 557
18
45
4
2.3
38
3
…
43.3
South Africa
50 460
25
30
8
1.1
62
92
89
20.9
South Sudan
10 640 o
18 o
44 o
5o
3.8 o
18
35
…
39.2 o
Spain
46 455
40
15
22
1.3
77
>90
100
10.8
Sri Lanka
21 045
31
25
13
1.1
15
97
83
17.8
Sudan
37 650 o
18 o
43 o
5o
2.5 o
33
59
…
36.6 o
Sudan (former)
…
…
…
…
…
…
…
…
…
Suriname
529
28
28
9
1.1
70
97
91
18.1
29.1
j
Swaziland
1 203
20
38
5
1.1
21
50
…
Sweden
9 441
41
17
25
0.6
85
>90 j
100
12.0
Switzerland
7 702
42
15
23
0.7
74
>90 j
100
10.0
Syrian Arab Republic
20 766
21
36
6
2.3
56
95
90
22.4
Tajikistan
6 977
21
37
5
1.1
27
88
68
27.8
Thailand
69 519
35
20
13
0.8
34
99
75
11.9
The former Yugoslav Republic of Macedonia
2 064
36
17
17
0.2
59
100
100
10.6
Timor-Leste
1 154
17
46
5
3.0
28
55
…
38.1
Togo
6 155
20
39
5
2.2
38
78
…
31.6
Tonga
105
21
37
8
0.6
23
…
…
26.6
Trinidad and Tobago
1 346
31
21
11
0.4
14
96
100
14.6
Tunisia
10 594
29
23
10
1.0
66
>90 j
…
17.0
Turkey
73 640
29
26
9
1.3
72
94
61
17.5
Turkmenistan
5 105
25
29
6
1.1
49
96
…
21.4
Tuvalu
10
…
32
9
0.4
51
50
…
23.0 k
Uganda
34 509
16
48
4
3.2
16
30
…
44.7
Ukraine
45 190
39
14
21
–0.7
69
100
100
10.9
United Arab Emirates
7 891
31
17
1
9.2
84
…
90
12.8
United Kingdom
62 417
40
17
23
0.5
80
>90
99
12.2
United Republic of Tanzania
46 218
17
45
5
2.8
27
16
…
41.2
United States of America
313 085
37
20
19
0.9
82
>90 j
100
13.8
Uruguay
3 380
34
22
18
0.2
93
>90 j
99
14.6
Uzbekistan
27 760
25
29
6
1.0
36
100
81
21.2
Vanuatu
246
21
38
6
2.6
25
26
…
29.2
Venezuela (Bolivarian Republic of)
29 437
26
29
9
1.7
94
>90 j
99
20.3
Viet Nam
88 792
29
23
9
1.1
31
95
…
16.4
j
Yemen
24 800
18
44
4
3.1
32
22
…
37.8
Zambia
13 475
17
47
5
2.5
39
14
…
45.9
Zimbabwe
12 754
20
38
6
0.1
39
49
…
29.0
162
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
MDG 2
MDG 1
Net primary school
enrolment rate f
(%)
Gross
Population Cellular phone
national
living on <$1 subscribers i
income per (PPP int. $)
(per 100
capita g
a day h
population)
(PPP int. $)
(%)
Male
2011
2011
2005–2010
2005–2011
5.9
2.0
…
…
88
6.3
2.0
70
…
100
5.2
3.8
29
99
10.0
1.5 k
…
8.1
3.6
3.2
7.9
Female
2005–2011
MDG 8
Member State
2011
2005–2008
2011
88
11 220
…
123
Saint Lucia
97
10 440
…
121
Saint Vincent and the Grenadines
91
96
4 270
…
…
Samoa
…
75 l
74 l
…
…
112
San Marino
…
89
97
98
2 080
…
68
Sao Tome and Principe
2.7
7
87
97
97
24 700
…
191
Saudi Arabia
4.7
93
50
77
81
1 940
33.5
73
Senegal
12.3
1.6
22
99
95 l
94 l
11 540
<2.0
125
Serbia
7.4
1.9 k
62
92 m
96
94
25 140
<2.0
146
Seychelles
16.3
4.9
98
42
…
…
840
…
36
Sierra Leone
4.3
1.3
6
96
…
…
59 380
…
150
Singapore
9.2
1.3
21
…
…
…
22 130
…
109
Slovakia
8.8
1.5
5
100
98
97
26 510
…
107
Slovenia
4.9
4.2
70
…
88
87
2 350
…
50
Solomon Islands
15.4
6.3
123
…
…
…
…
…
7
Somalia
11.6
2.4
54
89
90 n
91 n
10 710
17.4
127
South Africa
12.3
5.5 o
…
…
…
…
…
0.0
…
South Sudan
8.0
1.5
13
98 p
100
100
31 400
…
113
Spain
6.9
2.3
24
91
94
94
5 520
7.0
87
Sri Lanka
8.4
5.1 o
…
…
…
…
2 120
…
56
Sudan
…
…
…
71
…
…
…
…
…
Sudan (former)
6.2
2.3
66
95
92
93
…
…
179
Suriname
13.3
3.3
…
87
85
80
5 930
…
64
Swaziland
9.2
1.9
6
…
100
99
42 200
…
119
Sweden
8.1
1.5
4
…
99
99
52 570
…
131
Switzerland
3.8
2.9
…
83
99
100
…
…
63
Syrian Arab Republic
6.0
3.2
27
100
100
96
2 300
…
91
Tajikistan
7.5
1.6
47
94
90
89
8 360
…
112
Thailand
9.5
1.4
…
…
97
99
11 090
<2.0
107
The former Yugoslav Republic of Macedonia
7.1
6.1
54
58
91
91
…
37.4
53
Timor-Leste
10.9
4.0
…
57
…
…
1 040
38.7
50
Togo
6.1
3.9
16
99
…
…
5 000
…
53
Tonga
7.9
1.6
33
99
98
97
…
…
136
Trinidad and Tobago
5.4
2.0
6
78
…
…
9 030
…
117
Tunisia
4.8
2.1
38
91
100
98
16 940
2.7
89
Turkey
8.7
2.4
21
100
…
…
8 690
…
69
Turkmenistan
10.2
3.1 i
28
…
…
…
…
…
22
Tuvalu
10.7
6.1
…
73
93
95
1 310
37.7
48
Uganda
14.7
1.5
30
100
92 l
93 l
7 040
<2.0
123
Ukraine
1.3
1.7
34
90
94
98
47 890
…
149
United Arab Emirates
9.1
1.9
25
…
100
100
36 010
…
131
United Kingdom
9.3
5.5
128
73
98
98
1 500
67.9
56
United Republic of Tanzania
8.3
2.1
39
…
95
96
48 820
…
93
United States of America
9.4
2.1
60
98
100
99
14 640
<2.0
141
Uruguay
6.7
2.3
26
99
94 n
91 n
3 420
…
92
Uzbekistan
4.3
3.8
…
83
…
…
4 330
…
56
Vanuatu
4.7
2.4
101
…
95
95
12 430
3.0
98
Venezuela (Bolivarian Republic of)
5.3
1.8
35
93
…
…
3 250
13.1
143
Viet Nam
6.9
5.1
80
64
83
70
2 170
…
47
Yemen
11.6
6.3
151
71
96
98
1 490
…
61
Zambia
11.1
3.2
115
92
…
…
…
…
72
Zimbabwe
163
Table 9
MDG 5
Crude death Total fertility Adolescent Literacy rate
rate a
fertility rate e among adults
rate d
aged
(per 1000 (per woman) (per 1000
≥15 years f
population)
girls aged
15–19
(%)
years)
9. Demographic and socioeconomic statistics
Member State
Population
Civil registration coverage
(%)
Total a
(000s)
Median a
age
(years)
Aged
under 15 a
(%)
Aged
over 60 a
(%)
Annual
Living in
growth rate a urban areas b
(%)
(%)
2011
2011
2011
2011
2001–2011
2011
Births c
Causes of
death d
2005–2011
Crude birth
rate a
(per 1000
population)
2011
Ranges of country values
Minimum
1
16
13
1
–2.6
11
3
4
7.0
7 504
26
29
8
1.3
57
>90
>80
19.8
1 355 243
45
49
31
11.2
100
100
100
48.2
African Region
857 382
19
42
5
2.4
38
…
…
38.0
Region of the Americas
938 647
31
25
13
1.1
80
…
…
17.4
South-East Asia Region
1 830 361
26
29
8
1.4
34
…
…
20.8
European Region
899 442
38
17
20
0.3
70
…
…
13.5
Eastern Mediterranean Region
608 133
23
34
6
2.1
49
…
…
31.4
1 807 941
34
20
14
0.6
54
…
…
14.1
Median
Maximum
WHO region
Western Pacific Region
Income group
Low income
813 734
20
39
6
2.1
28
…
…
35.5
Lower middle income
2 529 253
25
32
8
1.6
39
…
…
26.9
Upper middle income
2 503 866
33
22
12
0.7
61
…
…
15.4
High income
1 095 054
40
17
22
0.7
80
…
…
12.5
Global
6 941 907
29
27
11
1.2
52
…
…
24.3
a.
World Population Prospects: the 2010 Revision. New York, Population Division,
Department of Economic and Social Affairs, United Nations Secretariat, 2011.
b.
World Urbanization Prospects: the 2011 Revision. New York, Population Division,
Department of Economic and Social Affairs, United Nations Secretariat, 2012.
c.
The standard definition includes the percentage of children under five years of age
who were registered at the moment of the survey. The numerator of this indicator
includes children whose birth certificate was seen by the interviewer, or whose
mother or carer said that the birth had been registered. UNICEF Statistics by area
are available at: http://www.childinfo.org/birth_registration_tables.php. New York,
UNICEF, updated January 2013.
d.
e.
Mortality data. Geneva, World Health Organization, 2012 (http://www.who.int/
healthinfo/statistics/mortality/en/).
2012 Update for the MDG Database: Adolescent Birth Rate. United Nations,
Department of Economic and Social Affairs, Population Division, 2012 (http://www.
un.org/esa/population/publications/2012_mdgdatabase/2012_Update_MDG(5.4)_
ABR.xls). WHO regional, income-group and global figures refer to 2009. If countrylevel data were not available for 2009, linear interpolation between the closest data
points on both sides of the year was used. In other cases, the closest data point was
used.
f.
Data centre. Montreal, UNESCO Institute for Statistics, February 2013 update
(http://www.uis.unesco.org/Pages/DataCentre.aspx).
g.
PPP int. $ = Purchasing Power Parity at international dollar rate. World development
indicators database. Washington, DC, World Bank, 2012 (http://data.worldbank.
org/, December 2012 update figures used). The income-group aggregates relate
only to WHO Member States and therefore may differ from those reported in the
World development indicators database.
h.
World development indicators database. Washington, DC, World Bank, 2012 (http://
data.worldbank.org/, February 2012 update figures used). These figures reflect the
World Bank default poverty line. Income-group aggregates are based on the 2011
World Bank list of economies.
i.
World telecommunication/ICT indicators database 2012. Geneva, International
Telecommunication Union, 16th Edition (sectional download at http://www.itu.int/
ITU-D/ict/ or available for purchase in its entirety at: http://www.itu.int/ITU-D/ict/
publications/world/world.html).
j.
Demographic Yearbook 2011. New York, United Nations Statistics Division, 2012
(http://unstats.un.org/unsd/Demographic/Products/dyb/dyb2011.htm, accessed
14 January 2013).
k.
International data base (IDB). Washington, DC, US Census Bureau, 2012 (www.
census.gov/ipc/www/idb, accessed 15 January 2013).
l.
National estimation.
m.
Literacy rates are estimates for current decade based on survey or census data from
previous decade.
n.
Figure estimated by UNESCO Institute for Statistics (UIS).
o.
World Population Prospects: the 2012 Revision. Provisional results. New York,
Population Division, Department of Economic and Social Affairs, United Nations
Secretariat (forthcoming).
p.
Literacy rates refer to the population aged 16 years and over.
164
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
MDG 5
Crude death Total fertility Adolescent Literacy rate
rate a
fertility rate e among adults
rate d
aged
(per 1000 (per woman) (per 1000
≥15 years f
population)
girls aged
15–19
(%)
years)
2011
1.3
7.9
MDG 1
Gross
Population Cellular phone
national
living on <$1 subscribers i
income per (PPP int. $)
(per 100
capita g
a day h
population)
(PPP int. $)
(%)
Male
Female
2005–2011
2011
2005–2008
MDG 8
Member State
2005–2010
2005–2011
2011
1.1
1
29
40
34
340
<2.0
3
Minimum
2.3
32
90
95
95
7 870
22.6
98
Median
16.3
7.0
177
100
100
100
86 440
83.7
196
Maximum
11.1
4.8
115
63
79
76
2 513
42.6
47
African Region
6.7
2.1
66
94
96
96
25 373
4.8
94
Region of the Americas
7.7
2.4
49
70
96
97
3 747
38.4
62
South-East Asia Region
10.1
1.7
23
99
97
97
25 210
…
122
European Region
6.3
3.2
37
69
85
76
6 047
11.0
74
Eastern Mediterranean Region
6.6
1.7
13
94
96
96
10 925
16.0
73
Western Pacific Region
9.4
4.0
112
63
82
79
1 313
48.8
33
Low income
8.0
2.9
49
71
91
88
3 666
30.2
69
Lower middle income
7.0
1.8
31
93
96
96
10 566
10.7
82
Upper middle income
8.4
1.8
20
…
97
97
38 690
…
109
High income
7.9
2.4
49
84
92
90
11 536
22.7
76
Global
Table 9
2011
MDG 2
Net primary school
enrolment rate f
(%)
165
Annex 1.
Regional and income groupings
WHO regional groupings1
WHO African Region: Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon,
Cape Verde, Central African Republic, Chad, Comoros, Congo, Côte d’Ivoire, Democratic Republic of the Congo, Equatorial Guinea, Eritrea*, Ethiopia, Gabon, Gambia, Ghana, Guinea,
Guinea-Bissau, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Mauritius,
Mozambique, Namibia, Niger, Nigeria, Rwanda, Sao Tome and Principe, Senegal, Seychelles,
Sierra Leone, South Africa, Swaziland, Togo, Uganda, United Republic of Tanzania, Zambia,
Zimbabwe.
WHO Region of the Americas: Antigua and Barbuda, Argentina, Bahamas, Barbados, Belize,
Bolivia (Plurinational State of ), Brazil, Canada, Chile, Colombia, Costa Rica, Cuba, Dominica,
Dominican Republic, Ecuador, El Salvador, Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Nicaragua, Panama, Paraguay, Peru, Saint Kitts and Nevis, Saint Lucia, Saint
Vincent and the Grenadines, Suriname, Trinidad and Tobago, United States of America, Uruguay, Venezuela (Bolivarian Republic of ).
WHO South-East Asia Region: Bangladesh, Bhutan, Democratic People’s Republic of Korea,
India, Indonesia, Maldives, Myanmar, Nepal, Sri Lanka, Thailand, Timor-Leste*.
WHO European Region: Albania, Andorra*, Armenia*, Austria, Azerbaijan*, Belarus, Belgium,
Bosnia and Herzegovina*, Bulgaria, Croatia*, Cyprus, Czech Republic*, Denmark, Estonia*, Finland, France, Georgia*, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Kazakhstan*,
Kyrgyzstan*, Latvia*, Lithuania*, Luxembourg, Malta, Monaco, Montenegro*, Netherlands,
Norway, Poland, Portugal, Republic of Moldova*, Romania, Russian Federation, San Marino,
Serbia*, Slovakia*, Slovenia*, Spain, Sweden, Switzerland, Tajikistan*, The former Yugoslav Republic of Macedonia*, Turkey, Turkmenistan*, Ukraine, United Kingdom, Uzbekistan*.
WHO Eastern Mediterranean Region: Afghanistan, Bahrain, Djibouti, Egypt, Iran (Islamic
Republic of ), Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Pakistan, Qatar, Saudi
Arabia, Somalia, South Sudan, Sudan, Syrian Arab Republic, Tunisia, United Arab Emirates,
Yemen.
WHO Western Pacific Region: Australia, Brunei Darussalam, Cambodia, China, Cook Islands,
Fiji, Japan, Kiribati, Lao People’s Democratic Republic, Malaysia, Marshall Islands*, Micronesia
(Federated States of)*, Mongolia, Nauru*, New Zealand, Niue*, Palau*, Papua New Guinea,
Philippines, Republic of Korea, Samoa, Singapore, Solomon Islands, Tonga, Tuvalu*, Vanuatu,
Viet Nam.
1.
Member States indicated with an * may have data for periods prior to their official membership of WHO.
166
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
010010100110101010110010100101100101111010101001010100101010110001001
01010110001001101001101001011010101011000100110100110100101101010101
01101001100110100110011010011001101001100110100110011010011001101001
101001011001011110101010010101010010110010111101010100101010100101
0010011010011001001101001100100110100110010011010011001001101001
0010101010010101010010101010010101010010101010010101010010101010010101010010101
01101001100110100110011010011001101001100110100110011010011001101001
101100010101100010101100010101100010101100010101100010101100010101
01101001100110100110011010011001101001100110100110011010011001101001
010010101001010101100010011010010101001010101100010011010010101001010101
0110001001101001101001011010100110001001101001101001011010100110001001
100101111010010101001010010111101001010100101001011110100101010010100101
01101001100110100110011010011001101001100110100110011010011001101001
00101001101000101001101000101001101000101001101000101001101000101001
01101001100110100110011010011001101001100110100110011010011001101001
111010010101001010111010010111101001010100101011101001011110100101010010101
01101001100110100110011010011001101001100110100110011010011001101001
100101111010101001011001011110101010010110010111101010100101100101
01101001100110100110011010011001101001100110100110011010011001101001
010010110100001001011010000100101101000010010110100001001011010000100101
01101001100110100110011010011001101001100110100110011010011001101001
2013
Income groupings2,3
Low income: Afghanistan, Bangladesh, Benin, Burkina Faso, Burundi, Cambodia, Central African Republic, Chad, Comoros, Democratic People’s Republic of Korea, Democratic Republic of
the Congo, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Haiti, Kenya, Kyrgyzstan, Liberia,
Madagascar, Malawi, Mali, Mauritania, Mozambique, Myanmar, Nepal, Niger, Rwanda, Sierra
Leone, Somalia, Tajikistan, Togo, Uganda, United Republic of Tanzania, Zimbabwe.
Lower middle income: Albania, Armenia, Belize, Bhutan, Bolivia (Plurinational State of), Cameroon, Cape Verde, Congo, Côte d’Ivoire, Djibouti, Egypt, El Salvador, Fiji, Georgia, Ghana,
Guatemala, Guyana, Honduras, India, Indonesia, Iraq, Kiribati, Lao People’s Democratic Republic, Lesotho, Marshall Islands, Micronesia (Federated States of), Mongolia, Morocco, Nicaragua,
Nigeria, Pakistan, Papua New Guinea, Paraguay, Philippines, Republic of Moldova, Samoa,
Sao Tome and Principe, Senegal, Solomon Islands, South Sudan, Sri Lanka, Sudan, Swaziland,
Syrian Arab Republic, Timor-Leste, Tonga, Ukraine, Uzbekistan, Vanuatu, Viet Nam, Yemen,
Zambia.
Upper middle income: Algeria, Angola, Antigua and Barbuda, Argentina, Azerbaijan, Belarus,
Bosnia and Herzegovina, Botswana, Brazil, Bulgaria, Chile, China, Colombia, Cook Islands**,
Costa Rica, Cuba, Dominica, Dominican Republic, Ecuador, Gabon, Grenada, Iran (Islamic Republic of), Jamaica, Jordan, Kazakhstan, Latvia, Lebanon, Libya, Lithuania, Malaysia, Maldives,
Mauritius, Mexico, Montenegro, Namibia, Nauru**, Niue**, Palau, Panama, Peru, Romania, Russian Federation, Saint Lucia, Saint Vincent and the Grenadines, Serbia, Seychelles, South Africa,
Suriname, Thailand, The former Yugoslav Republic of Macedonia, Tunisia, Turkey, Turkmenistan,
Tuvalu, Uruguay, Venezuela (Bolivarian Republic of).
High income: Andorra, Australia, Austria, Bahamas, Bahrain, Barbados, Belgium, Brunei
Darussalam, Canada, Croatia, Cyprus, Czech Republic, Denmark, Equatorial Guinea, Estonia,
Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Kuwait, Luxembourg, Malta, Monaco, Netherlands, New Zealand, Norway, Oman, Poland, Portugal, Qatar,
Republic of Korea, Saint Kitts and Nevis, San Marino, Saudi Arabia, Singapore, Slovakia, Slovenia, Spain, Sweden, Switzerland, Trinidad and Tobago, United Arab Emirates, United Kingdom,
United States of America.
2.
World Bank list of economies (July 2012). Washington, DC, World Bank, 2012 (http://siteresources.worldbank.
org/DATASTATISTICS/Resources/CLASS.XLS).
3.
Member States marked with an ** have been classified into income groups using gross domestic product.
167
168
The World Health Statistics series is WHO’s annual compilation
of health-related data for its 194 Member States, and includes a
summary of the progress made towards achieving the health-related
Millennium Development Goals (MDGs) and associated targets.
This year, it also includes highlight summaries on the topics of
reducing the gaps between the world’s most-advantaged and leastadvantaged countries, and on current trends in official development
assistance (ODA) for health. 世界卫生统计系列是世界卫生组织每年对其
The series is produced193个成员国健康相关数据的编辑，还包括对实现
by the WHO Department of Health Statistics
卫生千年发展目标和其他相关目标取得的进展的
and Information Systems
of the Health Systems and Innovation
Cluster. As in previous 概述。
years, World Health Statistics 2013 has been
compiled using publications and databases produced and maintained
正如先前的版本，《2010年世界卫生统计》
by WHO technical programmes
and regional offices. A number of
的编纂也使用了世界卫生组织技术项目和区域办
demographic and socioeconomic
statistics have also been derived
from databases maintained
by
a
range
of other organizations.
公室持续发布的公示和数据库资料。指标的纳入
基于其对全球公共卫生的适用性，数据的可获得
WORLD HEALTH STATISTICS 2013
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01010010101010011010100100001
01001010000101001000101001010
00001000101010100001001001001
01010100101010101001010101001
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01001001001001010101001010101
00010010101111100101010101001
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10101000010101000100101011111
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100 01010 10001 00100 00101 0100 11101 01000 01010 00001 01010 01001 01001 10100 10101 10101 01001 10100 1001 01111 00010 01000
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0 1 0 0 1 1 0 1 0 0 1 0 0 0 1 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 1 1 1 0 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 1 0 0 0 1 1 0 1 0 1 0 1 0 0 1 0 10 0 1 0 0 0 1 0 0 1 0
001001001001010000100101000100101010010111011101000100101001001000101001010101001010010010010010100100100100100101010100101010
010 00101 10101 10101 01010 0101 00100 10111 01010 00101 01010 01001 00101 10010 00001 01010 10010 10010 0100 01010 00100
001010101001101010010000101010100111101010001010010010010100010100101001010100100100101010000101010001001010111110010101010100
1 0 0 0 1 0 0 0 1 0 1 0 0 1 0 1 0 1 1 0 0 1 0 1 0 0 1 1 0 0 1 0 0 0 1 0 0 0 1 0 0 1 0 1 0 0 0 0 0 1 1 0 1 0 1 0 1 1 0 1 0 0 0 1 0 0 1 1 1 1 1 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 1 0 00 1 1 1 0 0 1
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010 01011 01010 00101 01010 0100 10010 01001 11110 00010 10010 00001 00001 01010 00100 10100 01001 10010
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001 00100 01001 01000 00110 1010 01010 01011 01001 00010 00001 10101 00010 11001 10100 10010 11111
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010 10010 00101 01010 10010 1001 00001 01010 00101 10001 11110 11101 01000 01010 01010 01010
010101010010010100001010010001010010100101001000100010001001001010010111110101010000101011111100101000110010010010001000101001
010 01001 11110 00010 10010 0101 00010 01001 10000 00101 01110 11001 01010 01010 01000
100100101000001000101010100001001001001010000100101000100101010010111011101000100101001001000101001010101001010010010010010100
010 01011 01001 00010 11101 1101 01010 00010 00101 01001 01111 00100 01010 10101
100100100101010100101010101001010101001101010010000101010100111101010001010010010010100010100101001010100100100101010000101010
001 01010 00101 01011 11101 0100 01111 01001 00101 00101 01001 10100 01111
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000 00010 10101 00101 10010 0000 01011 11011 10001 00010
100001010100010010101111100101010101001001010000101001000101001010010100100010001000100100101001011111010101000010101111110010
101 10000 00101 10010 00101 0011 00101 11010 10001
011001001001000100010100100010010010100000100010101010000100100100101000010010100010010101001011101110100010010100100100010100
100 00101 10010 01001 10101 0101 10011 01000
010100101001001001001010010010010010010101010010101010100101010100110101001000010101010011110101000101001001001010001010010100
010 00010 00010 10010 01001 1010 01010
010010010010101000010101000100101011111001010101010010010100001010010001010010100101001000100100010010010100101111101010100001
001 01010 01010 10100 00010 1010
111111001010001100100100100010001010010001001001010000010001010101000010010010010100001001010001001010100101110111010001001010
101 00101 00100 10010 10100
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101 10100 11010 01000
100 10100 01010
101001010010101001001001010100001010100010010101111100101010101001001010000101001000101001010010100100010001000100100101001011
010 01000
010101000010101111110010100011001001001000100010100100010010010100000100010101010000100100100101000010010100010010101001011101
001
100010010100100100010100101010100101001001001001010010010010010010101010010101010100101010100110101001000010101010011110101000
001001001010001010010100101010010010010101000010101000100101011111001010101010010010100001010010001010010100101001000100010001
001010010111110101010000101011111100101000110010010010001000101001000100100101000001000101010100001001001001010000100101000100
010010111011101000100101001001000101001010101001010010010010010100100100100100101010010101010100101010100110101001000010101010
110101000101001001001010001010010100101010010010010101000010101000100101011111001010101010010010100001010010001010010100101001
100010001001001010010111110101010000101011111100101000110010010010001000101001000100100101000001000101010100001001001001010000
101000100101010010111011101000100101001001000101001010101001010010010010010100100100100100101010100101010101001010101001101010
000101010100111101010001010010010010100010100101001010100100100101010000101010001001010111110010101010100100101000010100100010
101001010010001001000100100101001011111010101000010101111110010100011001001001000100010100100010010010100000100010101010000100
100101000010010100010010101001011101110100010010100100100010100101010100101001001001001010010010010010010101010010101010100101
100110101001000010101010011110101000101001001001010001010010100101010010010010101000010101000100101011111001010101010010010100
010010001010010100101001000100010001001001010010111110101010000101011111100101000110010010010001000101001000100100101000001000
010100001001001001010000100101000100101010010111011101000100101001001000101001010101001010010010010010100100100100100101010100
010101001010101001101010010000101010100111101010001010010010010100010100101001010100100100101010000101010001001010111110010101
100100101000010100100010100101001010010001000100010010010100101111101010100001010111111001010001100100100100010001010010001001
010000010001010101000010010010010100001001010001001010100101110111010001001010010010001010010101010010100100100100101001001001
isbn 978 92 4 156458 8
001010101001010101010010101010011010100100001010101001111010100010100100100101000101001010010101001001001010100001010100010010
111100101010101001001010000101001000101001010010100100010001111000101000010001000010000100000010010000100110101011110001010010
ISBN 978 92 4 156398 7
010010101001001010100001010010001010010100101001000100010001001001010010111110101010000101011111100101000110010010010001000101
000100100101000001000101010100001001001001010000100101000100101010010111011101000100101001001000101001010101001010010010010010
100100100100101010100101010101001010101001101011110101010000101011111100101000110010010010001000101001000100100101000001000101
100001001001001010000100101000100101010010111011101000100101001001000101001010101001010010010010010100100100100100101010100101
101001010101001101010010000101010100111101010001010010010010100010100101001010100100100101010000101010001001010111110010101010
9 789241 564588
100101000010100100010100101001010010001000100010010010100101111101010100001010111111001010001100100100100010001010010001001001
000010001010101000010010010010100001001010001001010100101110111010001001010010010001010010101010010100100100100101001001001001
010101001010101010010101010011010100100001010101001111010100010100100100101000101001010010101001001001010100001010100010010101
9 789241 563987
100101010101001001010000101001000101001010010100100010010001001001010010111110101010000101011111100101000110010010010001000101
000100100101000001000101010100001001001001010000100101000100101010010111011101000100101001001000101001010101001010010010010010
100100100100101010100101010101001010101001101010010000101010100111101010001010010010010100010100101001010100100100101010000101
001001010111110010101010100100101000010100100010100101001010010001000100010010010100101111101010100001010111111001010001100100
100010001010010001001001010000010001010101000010010010010100001001010001001010100101110111010001001010010010001010010101010010
All the indicators shown have been included on the basis of their
性和质量情况及终估计值的信度和可比性。这些
relevance to global public
health, the availability and quality of the
data, and the reliability指标对国民健康和关键地区卫生系统的现状提供
and comparability of the resulting estimates.
Taken together, these indicators
provide a comprehensive summary
了全年的描述。
of the current status of national health and health systems in key
为尽可能确保各国报告数据的最优使用
—
areas.
需要处理和调整缺失值，校正已知偏倚和使各国
WHO presents World Health
Statistics 2013 as an integral part of
之间数据可比性最大化。此外，还使用了统计技
its ongoing efforts to provide enhanced access to comparable
术和模型法来填补空白的数据。
high-quality statistics on core measures of population health and
national health systems. Unless
otherwise stated, all estimates have
世界卫生组织提供的《2010年世界卫生统
been cleared following计》是其为提高人们获取高质量的人群健康指标
consultation with Member States and are
published here as official WHO figures.
和各国卫生系统指标数据机会而不断努力的一部
分。如无其他说明，所有的估计值均已澄清了各
会员国的异议，并作为世界卫生组织的官方数据
公布于此。
2013
