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WHO Library Cataloguing-in-Publication Data
World health statistics 2012.
1.Health status indicators. 2.World health. 3.Health services - statistics. 4.Mortality. 5.Morbidity. 6.Life expectancy. 7.Demography.
8.Millennium development goals statistics. 9.Statistics. I.World Health Organization.
ISBN 978 92 4 156444 1 (NLM classification: WA 900.1)
World Health Organization 2012
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Table of Contents
Abbreviations 7Introduction 8
Part I. Health-related Millennium Development Goals 11
Summary of status and trends 12
Regional and country charts 171. AARD (%) in under-five mortality rate, 19902010 19
2. Measles immunization coverage among 1-year-olds (%) 20
3. AARD (%) in maternal mortality ratio, 19902010 21
4. Births attended by skilled health personnel (%) 22
5. Antenatal care coverage (%): at least one visit and at least four visits 23
6. Unmet need for family planning (%) 24
7. AARD (%) in HIV prevalence, 20002009 25
8. Antiretroviral therapy coverage among people with advanced HIV infection (%) 26
9. Children aged
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2. Cause-specific mortality and morbidity 63Mortality
Age-standardized mortality rates by cause (per 100 000 population)
Number of deaths among children aged
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5. Risk factors 109Population using improved drinking-water sources (%)
Population using improved sanitation (%)
Population using solid fuels (%)
Low-birth-weight newborns (%)Infants exclusively breastfed for the first 6 months of life (%)
Children aged
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8. Health inequities 145Contraceptive prevalence (%)
Antenatal care coverage: at least four visits (%)
Births attended by skilled health personnel (%)
DTP3 immunization coverage among 1-year-olds (%)Children aged
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Abbreviations
AARD average annual rate of decline
AIDS acquired immunodeficiency syndrome
AFR WHO African Region
AMR WHO Region of the Americas
ARI acute respiratory infection
DBP diastolic blood pressure
DHS Demographic and Health Survey
DTP3 3 doses of diphtheria-tetanus-pertussis vaccine
EML essential medicines list
EMR WHO Eastern Mediterranean Region
EUR WHO European Region
GDP gross domestic product
HAI Health Action International
HepB3 3 doses of hepatitis B vaccine
Hib3 3 doses ofHaemophilus influenzae type B vaccine
HIV human immunodeficiency virus
ICD International Statistical Classification of Diseases and Related Health Problems
MCV measles-containing vaccine
MDG Millennium Development Goal
MICS Multiple Indicator Cluster Survey
MSH Management Sciences for Health
MTCT mother-to-child transmission
NCD noncommunicable disease
NHA national health account
ORS oral rehydration salts
ORT oral rehydration therapy
PPP Purchasing Power Parity
RHF recommended home fluid
SBP systolic blood pressure
SEAR WHO South-East Asia Region
WHA World Health Assembly
WPR WHO Western Pacific Region
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Introduction
The World Health Statistics series is WHOs annual
compilation of health-related data for its 194 Member
States1 and includes a summary of the progress made
towards achieving the health-related Millennium De-
velopment Goals (MDGs) and associated targets. This
year, it also includes highlight summaries on the topics
of noncommunicable diseases, universal health cover-
age and civil registration coverage.
The series is produced by the WHO Department of
Health Statistics and Information Systems of the In-novation, Information, Evidence and Research Cluster.
As in previous years, World Health Statistics 2012 has
been compiled using publications and databases pro-
duced 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 organiza-
tions. 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 CulturalOrganization (UNESCO), the United Nations Childrens
Fund (UNICEF) and the World Bank.
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 compara-
bility 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 ten areas:
Q life expectancy and mortality
Q cause-specific mortality and morbidity
Q selected infectious diseases
Q health service coverage
1. South Sudan became an independent state in July 2011 and a
WHO Member State in September 2011. As the reported data
shown here only concern the time before July 2011, the term
Sudan as used here only refers to the state as it existed prior
to July 2011.
Q risk factors
Q health workforce, infrastructure and essential medi-
cines
Q health expenditure
Q health inequities
Q demographic and socioeconomic statistics
Q health information systems and data availability.
The estimates given in this report are derived from mul-
tiple sources, depending on each indicator and on theavailability and quality of data. In many countries, statis-
tical 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.
Because of the weakness of the underlying empirical
data in many countries, a number of the indicators pre-
sented 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 mar-
gins of uncertainty; these are available from online WHO
databases such as the Global Health Observatory.2
While every effort has been made to maximize the com-
parability of the statistics across countries and over
time, users are advised that country data may differ in
terms of the definitions, data-collection methods, pop-
ulation coverage and estimation methods used. More
2. The Global Health Observatory (GHO) is WHOs portal pro-
viding access to data and analyses for monitoring the global
health situation (see: http://www.who.int/gho).
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detailed information on indicator metadata is available
in the WHO Indicator and Measurement Registry.3
WHO presents World Health Statistics 2012 as an in-
tegral part of its ongoing efforts to provide enhanced
access to comparable high-quality statistics on core
measures of population health and national health sys-
tems. 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 stan-dard categories and methods to enhance their cross-
national comparability. As a result, they should not be
regarded as the nationally endorsed statistics of Mem-
ber States which may have been derived using alterna-
tive methodologies.
3. http://www.who.int/gho/indicatorregistry
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Part I
Health-related MillenniumDevelopment Goals
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Summary of status and trends
It is now more than a decade since world leaders ad-
opted the Millennium Development Goals (MDGs) and
their associated targets. In that time, substantial prog-
ress has been made in reducing child and maternal
mortality, improving nutrition, reducing morbidity and
mortality due to HIV infection, tuberculosis and malar-
ia, and increasing access to improved drinking-water
sources. These current trends provide a firm basis for
the intensified collective actions and expansion of suc-
cessful approaches now needed to overcome the chal-
lenges posed by multiple crises and large inequalities.Although progress in settings with the highest rates of
mortality has been accelerated in recent years, large
variations in health status persist both between and
within countries.
Childhood malnutrition is the underlying cause of an
estimated 35% of all deaths among children under five
years of age. The proportion of such children in devel-
oping countries who were underweight is estimated to
have declined from 29% to 18% between 1990 and
2010. Although this rate of progress is close to the rate
required to meet the relevant MDG target,4 improve-
ments have been unevenly distributed between and
within different regions.
Globally, significant progress has been made in reduc-
ing mortality rates among children under five years old.
Between 1990 and 2010, the under-five mortality rate
declined by 35% from an estimated 88 deaths per
1000 live births to 57. The global rate of decline has
also accelerated in recent years from 2.1% per an-num during 19902010 to 2.6% during 20052010
(Figure 1). The annual rate of decline in the WHO African
Region where almost half of all child deaths occur
increased from 1.8% during 19902010 to 2.8% during
20052010. Despite this improvement, most countries
in the Region are unlikely to achieve the MDG target of
a two-thirds reduction in 1990 mortality levels by the
4. MDG 1; Target 1.C: Halve, between 1990 and 2015, the pro-
portion of people who suffer from hunger.
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5
(%)
AFR
AMR
SEAR
EUR
EMR
WPR
Global
1990201020052010MDG target
Figure 1. Average annual rate of decline (%) in under-five mortality levels, 19902010 and 20052010
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year 2015. Globally, 37 out of 143 low- and middle-
income countries will reach that target by 2015 if the
pace of progress achieved during the period 2005
2010 is maintained.
In 2010, global measles immunization coverage was
85% among children aged 1223 months. More coun-
tries are achieving high levels of measles immunization
coverage, with 65% of all countries either reaching or
maintaining at least 90% coverage in 2010. Between
2000 and 2010, the estimated number of measlesdeaths decreased by 74%, accounting for about one
fifth of the overall reduction in child mortality.
Almost 20% of deaths in children under the age of five
mostly those due to pneumonia and diarrhoeal dis-
eases are also preventable by vaccines. Efforts are
therefore being made to expand interventions. For ex-
ample, a rapidly increasing number of countries in the
WHO African Region, the WHO Region of the Americas
and the WHO Eastern Mediterranean Region have in-
troduced pneumococcal conjugate vaccines in the pastyear with support from the GAVI Alliance.
Despite a significant reduction in the number of ma-
ternal deaths from an estimated 543 000 in 1990 to
287 000 in 2010 the rate of decline is just over half
that needed to achieve the relevant MDG target.5 Be-
tween 1990 and 2010, the global rate of decline was
3.1% per annum, with lower rates in the WHO African
Region, WHO Region of the Americas and WHO East-
ern Mediterranean Region (Table 1). Approximately one
quarter of the countries with the highest maternal mor-tality ratio in 1990 (100 maternal deaths per 100 000
live births) have made insufficient or no progress.
5. MDG 5; Target 5.A: Reduce by three quarters, between 1990
and 2015, the maternal mortality ratio.
Table 1.Average annual rate of decline (%) in
maternal mortality, 19902010
WHO region 19902010
AFR 2.7
AMR 2.5
SEAR 5.2
EUR 3.8
EMR 2.6
WPR 5.2
Global 3.1
To reduce the number of maternal deaths, women
need access to good-quality reproductive-health care
and effective interventions. In 2008, 63% of women
aged 1549 years who were married or in a consen-
sual union were using some form of contraception,
while 11% wanted to stop or postpone childbearing
but were not using contraception. The proportion of
women receiving antenatal care at least once duringpregnancy was about 81% for the period 20052011,
but for the recommended minimum of four visits or
more the corresponding figure drops to around 55%.
The proportion of births attended by skilled personnel
crucial for reducing perinatal, neonatal and maternal
deaths is above 90% in three of the six WHO re-
gions. However, increased coverage is needed in cer-
tain regions, such as Africa where the figure remains
less than 50% (Figure 2).
About half the worlds population is at risk of malaria,and an estimated 216 million cases in 2010 led to ap-
proximately 655 000 deaths 86% of these in children
under the age of five. In a total of eight countries and
one territory in the WHO African Region there was a
more than 50% reduction in either confirmed malaria
cases or malaria admissions and deaths. In other WHO
regions, the number of reported cases of confirmed
malaria decreased by more than 50% in 35 of the 53
countries with ongoing transmission between 2000 and
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AFR
AMR
SEAR
EUR
EMR
WPR
Global
(%)
Figure 2. Coverage of reproductive-health services
2010, while downward trends of 2550% were seen infour other countries. The estimated incidence of ma-
laria fell globally by 1.8% per annum between 2000 and
2009 (Figure 3). The coverage of interventions such as
the distribution of insecticide-treated nets and indoor
residual spraying has greatly increased, and will need
to be sustained in order to prevent the resurgence of
disease and deaths caused by malaria.
Globally, the annual number of new cases of tubercu-losis has been slowly falling since 2006. In 2010, there
were an estimated 8.8 million new cases approximate-
ly 13% of which occurred in people living with HIV. In
2010, an estimated 1.1 million HIV-negative people died
from tuberculosis, while an additional 0.35 million died
from HIV-associated tuberculosis. Since 1990, mortality
due to tuberculosis has fallen by just over one third
though regional variations persist (Figure 4). In 2009, the
treatment-success rate reached 87% worldwide, repre-
senting the third successive year that the target of 85%
(first set by the World Health Assembly in 1991) wasexceeded. Although all six WHO regions are on course
to achieve the relevant MDG target,6 multidrug-resistant
tuberculosis continues to present significant problems.
In 2010, an estimated total of 2.7 million people were
newly infected with HIV 15% less than the 3.1 million
6. MDG 6; Target 6.C: Have halted by 2015 and begun to reverse
the incidence of malaria and other major diseases.
100
80
60
40
20
0
AFR
AMR
SEAR
EUR
EMR
WPR
0
(%)
10 20 30 40 50
Figure 3. Annual decline (%) in malaria incidence,20002009
Global
Unmet need forfamily planning,
2008
Contraceptive prevalence(any method),
2008
Antenatal care coverage:at least one visit,
20052011
Births attended byskilled health personnel,
20052011
AFR
AMR
SEAR
EUR
EMR
WPR
Global
AFR
AMR
SEAR
EUR
EMR
WPR
Global
AFR
AMR
SEAR
EUR
EMR
WPR
Global
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people newly infected in 2001. In 22 countries in sub-Saharan Africa, a similar rate of decline has been ob-
served over the past decade, but the number of cases in
this region still accounts for 70% of all those who acquire
HIV infection globally. At the end of 2010, there were an
estimated 34 million people living with HIV an increase
on previous years. As access to antiretroviral therapy in
low- and middle-income countries expands (16 times
more people were treated in 2010 than in 2003), the
population living with HIV will continue to climb as fewer
individuals die from AIDS-related causes (Figure 5).7
Neglected tropical diseases are a group of 17 diseases8
endemic in 149 countries and which affect more than
1000 million people. With the exception of dengue and
leishmaniasis, these diseases rarely cause outbreaks,
7. Estimated tuberculosis mortality excludes tuberculosis deaths
among HIV-positive people. Shaded areas represent margins
of uncertainty.
8. For a list of the 17 neglected tropical diseases please see:
http://www.who.int/neglected_diseases/diseases/en/
AFR AMR SEAR
EUR EMR WPR
50
40
30
20
10
0
50
40
30
20
10
0
per100000population
per100000populat
ion
Figure 4. Trends in estimated tuberculosis mortality rates, 199020107
2002 2003 2004 2005 2006 2007 2008 2009 2010
8
7
6
5
4
3
2
1
0
Millionsofp
eople
People dying from AIDS-related causes
People receiving antiretroviral therapy
Figure 5. Number of people with access to antiretroviraltherapy and the number of people dying from
AIDS-related causes in low- and middle-
income countries, 20022010
1995 2000 20051990 2010 1995 2000 20051990 2010 1995 2000 20051990 2010
1995 2000 20051990 2010 1995 2000 20051990 2010 1995 2000 20051990 2010
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and thrive in the poorest, most marginalized commu-
nities, causing severe pain, permanent disability and
death. Since 2007, a coordinated and integrated ap-
proach has enabled WHO to reach a turning point inits efforts to overcome these diseases through the si-
multaneous use of multiple safe and high-quality do-
nated medicines. In the case of dracunculiasis, fewer
than 1100 cases were reported in 2011 which would
indicate that this disease is on the verge of eradication
without the use of any medication or vaccine.
The world has now met the MDG target relating to ac-
cess to safe drinking-water.9 In 2010, 89% of the popu-
lation used an improved source of drinking-water com-
pared to 76% in 1990 (Figure 6). Progress has howeverbeen uneven in different regions. While coverage is at
least 90% in four of the six WHO regions, it remains low
in the WHO African Region and WHO Eastern Mediter-
ranean Region.
9. MDG 7; Target 7.C: Halve, by 2015, the proportion of the pop-
ulation without sustainable access to safe drinking-water and
basic sanitation.
With regard to basic sanitation, current rates of prog-
ress are too slow for the MDG target to be met, both
globally (Figure 6) and within WHO regions with the
exception of the WHO Western Pacific Region. In 2010,2500 million people did not have access to improved
sanitation facilities, with 72% of these people living in
rural areas. The number of people living in urban areas
without access to improved sanitation is increasing be-
cause of rapid growth in the size of urban populations.
Although almost all countries publish an essential medi-
cines list, the availability of medicines at public health
facilities is often poor. Surveys conducted in more than
70 mainly low- and middle-income countries indicate
that the average availability of selected generic medi-cines at health facilities was only 42% in the public
sector and 64% in the private sector. The availability of
medicines for the treatment of chronic noncommuni-
cable diseases (NCDs) is particularly poor when com-
pared with the availability of medicines for acute condi-
tions. In a study of 40 countries, the mean public sector
availability of generic chronic NCD medicines was 36%,
while in the same facilities the availability of medicines
for acute conditions was 53.5%.10 A lack of medicines
in the public sector forces patients to purchase medi-
cines from the private sector, where generic medicinescost on average 610% more than their international
reference price. Such low public sector availability and
high private sector prices drive many families into cata-
strophic poverty, particularly those with a family mem-
ber suffering from a chronic NCD.
With less than four years to go before the end of 2015,
it is clear that much remains to be done if the health-
related MDGs set out in 2000 are to be achieved. At
the same time, the world faces new challenges that will
need to be reflected in the ways in which progress ismeasured after 2015.
10. Cameron A et al. (2011). Differences in the availability of medi-
cines for chronic and acute conditions in the public and private
sectors of developing countries. Bulletin of the World Health
Organization, 89:412421. Doi: 10.2471/BLT.10.084327
(http://www.who.int/bulletin/volumes/89/6/10-084327/en/in-
dex.html).1990
100
Proportionofpo
pulation(%)
Improved drinking-water source
Improved sanitation
1995 2000 2005 2010
80
60
40
20
0
Global water target
Global sanitation target
Figure 6. Global trends in the proportion of population
using safe drinking-water sources andimproved sanitation
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Regional and country charts
The following charts provide country-by-country summaries of progress and current regional averages for key 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 incidence rate;
population without access to improved drinking-water sources; and population without access to improved sanita-
tion 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. Thecountry 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 person-
nel; antenatal care coverage; unmet need for family planning; antiretroviral therapy coverage among people with
advanced HIV infection; children aged
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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 2010. 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.
Mongolia 32
Singapore 3
Malaysia 6
Vanuatu 14
Lao People's Democratic Republic 54
China 18
Cambodia 51
Viet Nam 23
Cook Islands 9
Philippines 29
Japan 3
Marshall Islands 26
Australia 5
New Zealand 6
Kiribati 49
Tuvalu 33
Palau 19
Fiji 17
Solomon Islands 27
Brunei Darussalam 7
Tonga 16
Republic of Korea 5
Papua New Guinea 61
Samoa 20
Micronesia (Federated States of) 42
Nauru 40
Niue 22
Oman 9
Egypt 22
Tunisia 16
United Arab Emirates 7
Libya 17
Saudi Arabia 18
Qatar 8
Iran (Islamic Republic of) 26
Morocco 36
Syrian Arab Republic 16
Jordan 22
Lebanon 22
Bahrain 10
Yemen 77
Pakistan 87
Afghanistan 149
Kuwait 11
Djibouti 91
Sudan 103
Iraq 39
Somalia 180
San Marino 2
Turkey 13
Estonia 5
Serbia 7
Portugal 4
Slovenia 3
Czech Republic 4The former Yugoslav Republic of Macedonia 12
Greece 4
Hungary 6
Cyprus 4
Poland 6
Belarus 6
Armenia 20
Romania 14
Luxembourg 3
Lithuania 7
Iceland 2
Italy 4
Israel 5
Norway 3
Croatia 6
Andorra 4
Ireland 4
Russian Federation 12
Belgium 4
Spain 5
Austria 4
Bosnia and Herzegovina 8
Albania 18
Finland 3
Sweden 3
Denmark 4
Montenegro 8
France 4
Slovakia 8
Latvia 10
Georgia 22
Germany 4
Azerbaijan 46
Monaco 4
Republic of Moldova 19
Netherlands 4
Kyrgyzstan 38
Malta 6
Tajikistan 63
Turkmenistan 56
Switzerland 5
Bulgaria 13
Kazakhstan 33
United Kingdom 5
Ukraine 13
Uzbekistan 52
Maldives 15
Timor-Leste 55
Bangladesh 48
Nepal 50
Bhutan 56
Thailand 13
Indonesia 35
Sri Lanka 17
India 63
Myanmar 66
Democratic People's Republic of Korea 33
Peru 19
El Salvador 16
Saint Kitts and Nevis 8
Antigua and Barbuda 8
Brazil 19
Mexico 17
Belize 17
Ecuador 20
Nicaragua 27
Guatemala 32
Honduras 24
Dominican Republic 27
Cuba 6
Bolivia (Plurinational State of) 54
Guyana 30
Uruguay 11
Chile 9
Paraguay 25
Argentina 14
Colombia 19
Grenada 11
Venezuela (Boli varian Republic o f) 18
Costa Rica 10
Suriname 31
Panama 20
Jamaica 24
United States of America 8
Saint Lucia 16
Canada 6
Dominica12
Bahamas 16
Trinidad and Tobago 27
Saint Vincent and the Grenadines 21
Barbados 20
Haiti 165
Madagascar 62
Rwanda 64
Malawi 92
Eritrea 61
Liberia 103
Niger 143
United Republic of Tanzania 76
Algeria 36
Senegal 75
Namibia 40
Uganda 99
Guinea 130
Ethiopia 106
Gambia 98
Cape Verde 36
Zambia 111
Ghana 74
Mozambique 135
Sierra Leone 174
Mauritius 15
Equatorial Guinea 121
Benin 115
Angola 161
Nigeria 143
Comoros 86
Mali 178
Togo 103
Guinea-Bissau 150
Burundi 142
Gabon 74
Congo 93
Swaziland 78
Cte d'Ivoire 123
Botswana 48
Seychelles 14
Chad 173
Sao Tome and Principe 80
Kenya 85
Burkina Faso 176
Mauritania 111
Democratic Republic of the Congo 170
South Africa 57
Lesotho 85
Central African Republic 159
Cameroon 136
Zimbabwe 80
AFR EMRAMR EUR
SEAR
WPR
REGIONAL AVERAGE: 119
REGIONAL AVERAGE: 57
REGIONAL AVERAGE: 18
REGIONAL AVERAGE: 14
REGIONAL AVERAGE: 68
REGIONAL AVERAGE: 19
19902010
19902010
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Argentina
Brazil
Cuba
Dominica
Honduras
Nicaragua
Saint Kitts and Nevis
Saint Vincent and the Grenadines
Antigua and Barbuda
Belize
Ecuador
Grenada
Guyana
Mexico
Panama
Saint Lucia
Uruguay
Bahamas
Paraguay
Peru
Canada
Chile
Guatemala
El Salvador
Trinidad and Tobago
United States of America
Suriname
Colombia
Jamaica
Barbados
Costa Rica
Bolivia (Plurinational State of)
Dominican Republic
Venezuela (Boliva rian Republic of)
Haiti
China
Cook Islands
Nauru
Niue
Tonga
Republic of Korea
Viet Nam
Marshall Islands
Mongolia
Malaysia
Singapore
Australia
Brunei Darussalam
Fiji
Japan
Cambodia
New Zealand
Kiribati
Philippines
Tuvalu
Micronesia (Federated States of)
Palau
Solomon Islands
Lao People's Democratic Republic
Samoa
Papua New Guinea
Vanuatu
Albania
Andorra
Belarus
Greece
Hungary
Kazakhstan
Kyrgyzstan
Monaco
Turkmenistan
Czech Republic
Finland
Israel
Poland
Russian Federation
Slovakia
The former Yugoslav Republic of Macedonia
Uzbekistan
Armenia
Bulgaria
Republic of Moldova
Turkey
Germany
Lithuania
Luxembourg
Netherlands
Portugal
Sweden
Croatia
Estonia
Romania
Serbia
Slovenia
Spain
Belgium
Georgia
Tajikistan
Ukraine
Bosnia and Herzegovina
Iceland
Latvia
Norway
San Marino
United Kingdom
France
Ireland
Italy
Montenegro
Switzerland
Cyprus
Denmark
Austria
Malta
Azerbaijan
Eritrea
Mauritius
Seychelles
Gambia
Cape Verde
Algeria
Botswana
Burkina Faso
Swaziland
Angola
Ghana
Malawi
Burundi
Sao Tome and Principe
United Republic of Tanzania
Zambia
Kenya
Lesotho
Togo
Zimbabwe
Rwanda
Sierra Leone
Ethiopia
Cameroon
Congo
Namibia
Comoros
Niger
Nigeria
Cte d'Ivoire
Mozambique
Benin
Democratic Republic of the Congo
Madagascar
Mauritania
South Africa
Liberia
Mali
Central African Republic
Guinea-Bissau
Senegal
Gabon
Uganda
Equatorial Guinea
Guinea
Chad
Democratic People's Republic of Korea
Sri Lanka
Thailand
Maldives
Bhutan
Bangladesh
Indonesia
Myanmar
Nepal
India
Timor-Leste
Bahrain
Iran (Islamic Republic of)
Qatar
Jordan
Kuwait
Libya
Morocco
Saudi Arabia
Oman
Tunisia
Egypt
United Arab Emirates
Sudan
Pakistan
Djibouti
Syrian Arab Republic
Iraq
Yemen
Afghanistan
Lebanon
Somalia
This chart shows the percentage of 1-year-olds fully immunized against measles. Within each WHO region, countries are sorted by the 2010 level.
The vertical line denotes the target of 90% coverage by 2015 set at the World Health Assembly (WHA) 2010.
Further details may be found in Part III, Table 3.
AFR EMRAMR EUR
SEAR
WPR
REGIONAL AVERAGE: 76
REGIONAL AVERAGE: 79
REGIONAL AVERAGE: 93
REGIONAL AVERAGE: 95
REGIONAL AVERAGE: 85
REGIONAL AVERAGE: 97
among 1-year-olds (%)
-
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Estonia 2
Belarus 4
Romania 27
Lithuania 8
Poland 5
Turkey 20
Italy 4
Czech Republic 5
Austria 4
Slovakia 6
Bosnia and Herzegovina 8
Greece 3
Russian Federation 34
Bulgaria 11
Uzbekistan 28
Portugal 8
Serbia 12
Kazakhstan 51
Netherlands 6
Albania 27
Israel 7
Germany 7
Cyprus 10
Malta 8
Latvia 34
The former Yugoslav Republic of Macedonia 10
Armenia 30
France 8
Ukraine 32
Republic of Moldova 41
Sweden 4
Tajikistan 65
Iceland 5
Finland 5
Belgium 8
Norway 7
Azerbaijan 43
Turkmenistan 67
Spain 6
Ireland 6
Montenegro 8
Hungary 21
Kyrgyzstan 71
Denmark 12
Georgia 67
Slovenia 12
Switzerland 8
United Kingdom 12
Croatia 17
Luxembourg 20
Andorra ...
Monaco ...
San Marino ...
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.
Equatorial Guinea 240
Eritrea 240
Ethiopia 350
Rwanda 340
Madagascar 240
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
Guinea 610
Gambia 360
Uganda 310
United Republic of Tanzania 460
Mozambique 490
Senegal 370
Cte d'Ivoire 400
Democratic Republic of the Congo 540
Nigeria 630
Ghana 350
Liberia 770
Comoros 280
Mauritania 510
Sierra Leone 890
Guinea-Bissau 790
Burundi 800
Gabon 230
Mauritius 60
Kenya 360
Zambia 440
Central African Republic 890
Namibia 200
Cameroon 690
Swaziland 320
Botswana 160
Chad 1100
Lesotho 620
South Africa 300
Zimbabwe 570
Congo 560
Seychelles ...
Peru 67
Bolivia (Plurinational State of) 190
Barbados 51
Chile 25
Honduras 100
Brazil 56
Trinidad and Tobago 46
El Salvador 81
Saint Lucia 35
Mexico 50
Colombia 92
Nicaragua 95
Haiti 350
Ecuador 110
Dominican Republic 150
Grenada 24
Guatemala 120
Uruguay 29
Belize 53Saint Vincent and the Grenadines 48
Paraguay 99
Panama 92
Bahamas 47
Venezuela (Boli varian Republic o f) 92
Costa Rica 40
Argentina 77
Cuba 73
Guyana 280
Suriname 130
United States of America 21
Jamaica 110
Canada 12
Antigua and Barbuda ...
Dominica ...
Saint Kitts and Nevis ...
Iran (Islamic Republic of) 21
Oman 32
Egypt 66
Syrian Arab Republic 70
Yemen 200
Morocco 100
Afghanistan 460
Tunisia 56
Qatar 7
Lebanon 25
United Arab Emirates 12
Pakistan 260
Saudi Arabia 24
Jordan 63
Libya 58
Djibouti 200
Iraq 63
Sudan 730
Bahrain 20
Somalia 1000
Kuwait 14
Viet Nam 59
Lao People's Democratic Republic 470
China 37
Cambodia 250
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
Tonga 110
Cook Islands ...
Kiribati ...
Marshall Islands ...
Nauru ...
Niue ...
Palau ...
Samoa ...
Tuvalu ...
Maldives 60
Bhutan 180
Nepal 170
Timor-Leste 300
Bangladesh 240
India 200
Indonesia 220
Myanmar 200
Sri Lanka 35
Democratic People's Republic of Korea 81
Thailand 48
AFR EMRAMR EUR
SEAR
WPR
REGIONAL AVERAGE: 480
REGIONAL AVERAGE: 200
REGIONAL AVERAGE: 63
REGIONAL AVERAGE: 20
REGIONAL AVERAGE: 250
REGIONAL AVERAGE: 49
19902010
-
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Antigua and Barbuda
Barbados
Grenada
Saint Lucia
Chile
Cuba
Uruguay
United States of America
Bahamas
Brazil
Canada
Saint Vincent and the Grenadines
Jamaica
Argentina
Trinidad and Tobago
Costa Rica
Mexico
Colombia
Dominica
Dominican Republic
Ecuador
Panama
Belize
Guyana
Suriname
El Salvador
Paraguay
Peru
Nicaragua
Bolivia (Plurinational State of)
Honduras
Guatemala
Haiti
Saint Kitts and Nevis
Venezuela (Boli varian Republic o f)
Cook Islands
Micronesia (Federated States of)
Niue
Palau
Republic of Korea
Brunei Darussalam
Japan
Fiji
Singapore
Australia
Mongolia
Malaysia
Kiribati
Tonga
Nauru
China
New Zealand
Tuvalu
Marshall Islands
Viet Nam
Samoa
Vanuatu
Cambodia
Solomon Islands
Philippines
Papua New Guinea
Lao People's Democratic Republic
Lithuania
San Marino
Switzerland
Turkmenistan
Belarus
Slovenia
Ireland
Italy
Malta
Poland
Serbia
Georgia
Russian Federation
The former Yugoslav Republic of Macedonia
Croatia
Czech Republic
Hungary
Uzbekistan
Armenia
Montenegro
Republic of Moldova
Slovakia
Bosnia and Herzegovina
Bulgaria
Kazakhstan
Albania
Estonia
Norway
Latvia
Ukraine
Austria
Finland
Germany
Romania
Cyprus
Denmark
France
Kyrgyzstan
Turkey
Tajikistan
Azerbaijan
Andorra
Belgium
Greece
Iceland
Israel
Luxembourg
Monaco
Netherlands
Portugal
Spain
Sweden
United Kingdom
Mauritius
Seychelles
Algeria
Botswana
Congo
Swaziland
Namibia
Sao Tome and Principe
Democratic Republic of the Congo
Cape Verde
Benin
Malawi
Rwanda
Burkina Faso
Zimbabwe
Senegal
Cameroon
Lesotho
Burundi
Togo
Mauritania
Cte d'Ivoire
Mozambique
Ghana
Gambia
Angola
Mali
United Republic of Tanzania
Zambia
Liberia
Guinea
Guinea-Bissau
Madagascar
Kenya
Uganda
Central African Republic
Nigeria
Sierra Leone
Niger
Ethiopia
Chad
Comoros
Equatorial Guinea
Eritrea
Gabon
South Africa
Democratic People's Republic of Korea
Thailand
Sri Lanka
Maldives
Indonesia
Myanmar
Bhutan
India
Nepal
Timor-Leste
Bangladesh
Qatar
Saudi Arabia
United Arab Emirates
Libya
Jordan
Iran (Islamic Republic of)
Kuwait
Oman
Bahrain
Syrian Arab Republic
Tunisia
Iraq
Egypt
Djibouti
Morocco
Pakistan
Yemen
Afghanistan
Sudan
Somalia
Lebanon
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.
AFR EMRAMR EUR
SEAR
WPR
REGIONAL AVERAGE: 48
REGIONAL AVERAGE: 59
REGIONAL AVERAGE: 93
REGIONAL AVERAGE: 59
REGIONAL AVERAGE: 91
REGIONAL AVERAGE: 98
skilled health personnel (%)
-
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France
Ireland
Belarus
Cyprus
Armenia
Turkmenistan
Bosnia and Herzegovina
Uzbekistan
Ukraine
Italy
Kazakhstan
Republic of Moldova
Serbia
Czech Republic
Montenegro
Albania
Latvia
Kyrgyzstan
Georgia
The former Yugoslav Republic of Macedonia
Turkey
Tajikistan
Azerbaijan
Andorra
Austria
Belgium
Bulgaria
Croatia
Denmark
Estonia
Finland
Germany
Greece
Hungary
Iceland
Israel
Lithuania
Luxembourg
Malta
Monaco
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Slovakia
Slovenia
Spain
Sweden
Switzerland
United Kingdom
Burundi
Rwanda
Sao Tome and Principe
Swaziland
Burkina Faso
Cape Verde
Malawi
Namibia
Zambia
Botswana
Uganda
Senegal
Guinea-Bissau
Lesotho
Kenya
Ghana
Zimbabwe
Algeria
Mozambique
Guinea
United Republic of Tanzania
Democratic Republic of the Congo
Togo
Madagascar
Congo
Gambia
Cte d'Ivoire
Cameroon
Benin
Liberia
Mauritania
Mali
Angola
Sierra Leone
Central African Republic
Nigeria
Niger
Ethiopia
C had
Comoros
Equatorial Guinea
Eritrea
Gabon
Maurit ius
Seychelles
South Africa
Antigua and Barbuda
Barbados
Canada
Cuba
Dominica
Grenada
Saint Kitts and Nevis
Saint Vincent and the Grenadines
Dominican Republic
Saint Lucia
Costa Rica
Jamaica
Bahamas
Brazil
Colombia
Uruguay
Paraguay
Mexico
Panama
Trinidad and Tobago
Peru
El Salvador
Guatemala
Belize
Argentina
Nicaragua
Suriname
Bolivia (Plurinational State of)
Guyana
Haiti
Honduras
Chi le
Ecuador
United States of America
Venezuela (Boli varian Republi c of)
Bahrain
Qatar
United Arab Emirates
Oman
Iran (Islamic Republic of)
Jordan
Saudi Arabia
Tunisia
Libya
Kuwait
Syrian Arab Republic
Iraq
Djibouti
Morocco
Egypt
Pakistan
Afghanistan
Yemen
Somalia
Lebanon
Sudan
Brunei Darussalam
Cook Islands
Fiji
Kiribati
Niue
Republic of Korea
Singapore
Mongolia
Australia
Tonga
China
Nauru
Tuvalu
Samoa
Philippines
Palau
Cambodia
Viet Nam
Vanuatu
Malaysia
Marshall Islands
Solomon Islands
Papua New Guinea
Lao People's Democratic Republic
Japan
Micronesia (Federated States of)
New Zealand
Democratic People's Republic of Korea
Sri Lanka
Maldives
Thailand
Indonesia
Timor-Leste
Myanmar
India
Bhutan
Nepal
Bangladesh
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 regional averages refer to 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.
AFR EMRAMR EUR
SEAR
WPR
REGIONAL AVERAGE: 74
REGIONAL AVERAGE: 76
REGIONAL AVERAGE: 95
REGIONAL AVERAGE: 72
REGIONAL AVERAGE: 93
At least one visit
At least four visits
at least one visit and at least four visits
-
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Thailand
Sri Lanka
Indonesia
India
Bangladesh
Nepal
Maldives
Timor-Leste
Bhutan
Democratic People's Republicof Korea
Myanmar
Zimbabwe
Niger
Cape Verde
Madagascar
Congo
Nigeria
Namibia
Guinea
United Republic of Tanzania
Lesotho
Swaziland
Kenya
Democratic Republic of the Congo
Benin
Zambia
Mali
Sierra Leone
Senegal
Ethiopia
Ghana
Liberia
Sao Tome and Principe
Uganda
Rwanda
Algeria
Angola
Botswana
Burkina Faso
Burundi
Cameroon
Central African Republic
Chad
Comoros
Cte d'Ivoire
Equatorial Guinea
Eritrea
Gabon
Gambia
Guinea-Bissau
Malawi
Mauritania
Mauritius
Mozambique
Seychelles
South Africa
Togo
France
Turkey
Republic of Moldova
Ukraine
Albania
Armenia
Azerbaijan
Georgia
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
Germany
Greece
Hungary
Iceland
Ireland
Israel
Italy
Kazakhstan
Kyrgyzstan
Latvia
Lithuania
Luxembourg
Malta
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Sweden
Switzerland
Tajikistan
The former Yugoslav Republic of Macedonia
Turkmenistan
United Kingdom
Uzbekistan
Egypt
Jordan
Pakistan
Afghanistan
Bahrain
Djibouti
Iran (Islamic Republic of)
Iraq
Kuwait
Lebanon
Libya
Morocco
Oman
Qatar
Saudi Arabia
Somalia
Sudan
Syrian Arab Republic
Tunisia
United Arab Emirates
Yemen
Marshall Islands
Solomon Islands
Philippines
Tuvalu
Cambodia
Lao People's Democratic Republic
Samoa
Australia
Brunei Darussalam
China
Cook Islands
Fij i
Japan
Kiribati
Malaysia
Micronesia (Federated States of)
Mongolia
Nauru
New Zealand
Niue
Palau
Papua New Guinea
Republic of Korea
Singapore
Tonga
Vanuatu
Viet Nam
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.
Paraguay
Colombia
Brazil
United States of America
Peru
Nicaragua
Dominican Republic
Mexico
Honduras
Bolivia (Plurinational State of)
Haiti
Antigua and Barbuda
Argentina
Bahamas
Barbados
Belize
Canada
Chi le
Costa Rica
Cuba
Dominica
Ecuador
El Salvador
Grenada
Guatemala
Guyana
Jamaica
Panama
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Suriname
Trinidad and Tobago
Uruguay
Venezuela (Boliva rian Republic of)
AFR EMRAMR EUR
SEAR
WPR
family planning (%)
-
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Cambodia 425
Singapore 72
Japan 6.4
Malaysia 369
New Zealand 58
Australia 94
Republic of Korea 20
Viet Nam 316
Papua New Guinea 507
Fiji 67
Mongolia 17
Philippines 9.5
Lao People's Democratic Republic 135
Brunei Darussalam
China
Cook Islands
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
Niue
Palau
Samoa
Solomon Islands
Tonga
Tuvalu
Vanuatu
Lebanon 84
Djibouti 1 604
Qatar 8
Morocco 81
Iran (Islamic Republic of) 125
Pakistan 54
Oman 39Somalia 373
Egypt 13
Tunisia 24
Sudan 615
Afghanistan
Bahrain
Iraq
Jordan
Kuwait
Libya
Saudi Arabia
Syrian Arab Republic
United Arab Emirates
Yemen
Thailand 786
Maldives 11
India 200
Myanmar 477
Nepal 217
Sri Lanka 14
Bangladesh 3.9
Bhutan 142
Indonesia 133
Democratic People's Republic of Korea
Timor-Leste
Colombia 342
Panama 585
Guyana 771
Honduras 520
Haiti 1 226
Peru 256
Bolivia (Plurinational State of) 122
Jamaica 1 161
Ecuador 275
Dominican Republic 568
Bahamas 1 921
Suriname 717
Mexico 201
Belize 1 554
Paraguay 199
United States of America 391
Canada 200
Argentina 283
El Salvador 549
Trinidad and Tobago 1 085
Uruguay 296
Chile 238
Guatemala 445
Nicaragua 121
Costa Rica 215
Barbados 827
Cuba 64
Antigua and Barbuda
Brazil
Dominica
Grenada
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Venezuela (Boliva rian Republic of)
Liberia 937
Burkina Faso 699
Central African Republic 2 861
Cte d'Ivoire 2 124
Mali 581
Zimbabwe 9 518
Eritrea 490
Kenya 3 664
Rwanda 1 664
Burundi 2 139
United Republic of Tanzania 3 199
Malawi 6 059
Guinea 789
Niger 400
Ghana 1 099
Uganda 3 645
Benin 674
Congo 2 078
Zambia 7 557
Nigeria 2 104
Togo 1 884
Namibia 8 163
Cameroon 3 107
Madagascar 123
Botswana 16 354
Lesotho 13 914
Angola 1 089
Gabon 3 118
Chad 1 846
South Africa 11 236
Mauritania 413
Swaziland 15 605
Guinea-Bissau 1 346
Mozambique 5 985
Senegal 472
Sierra Leone 860
Comoros 32
Algeria 50
Mauritius 684
Equatorial Guinea 2 945
Gambia 1 047
Cape Verde
Democratic Republic of the Congo
Ethiopia
Sao Tome and Principe
Seychelles
Spain 294
Hungary 30
Greece 79
Italy 240
Romania 74
Belgium 134
Republic of Moldova 338
Netherlands 135
France 246
Sweden 88
Norway 83
Israel 105
Poland 70
Portugal 390
Switzerland 240
Ireland 152
Ukraine 766
Malta 71
Germany 81
Luxembourg 182
Armenia 62Iceland 172
Czech Republic 19
Denmark 97
Finland 49
Croatia 20
Lithuania 37
United Kingdom 137
Tajikistan 131
Latvia 385
Slovakia 6.6
Slovenia 26
Bulgaria 50
Turkey 6.1
Estonia 736
Serbia 50
Azerbaijan 41
Austria 183
Belarus 172
Georgia 81
Russian Federation 696
Kazakhstan 84
Kyrgyzstan 178
Uzbekistan 103
Albania
Andorra
Bosnia and Herzegovina
Cyprus
Monaco
Montenegro
San Marino
The former Yugoslav Republic of Macedonia
Turkmenistan
This chart shows the AARD in the estimated prevalence of HIV infections per 100 000 population per year for the period 20002009. 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. Lightly shaded bars indicate countries in which the AARD was less than -10%. The numerical values show estimated HIV prevalence per 100 000
population for 2009.
Further details may be found in Part III, Table 2.
AFR EMRAMR EUR
SEAR
WPR
REGIONAL AVERAGE: 2 740
REGIONAL AVERAGE: 199
REGIONAL AVERAGE: 341
REGIONAL AVERAGE: 257
REGIONAL AVERAGE: 72
REGIONAL AVERAGE: 123
20002009
-
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Nicaragua
Cuba
Chile
Guyana
Argentina
Mexico
Dominican Republic
Uruguay
Brazil
Paraguay
Costa Rica
Ecuador
El Salvador
Jamaica
Peru
Venezuela (Bolivar ian Republic of)
Belize
Guatemala
Haiti
Honduras
Suriname
Panama
Colombia
Bolivia (Plurinational State of)
Antigua and Barbuda
Bahamas
Barbados
Canada
Dominica
Grenada
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Trinidad and Tobago
United States of America
Thailand
Bangladesh
Bhutan
Sri Lanka
Indonesia
Myanmar
Nepal
Maldives
Democratic Peoples Republic of Korea
India
Timor-Leste
Comoros
Botswana
Namibia
Rwanda
Swaziland
Zambia
Kenya
Zimbabwe
Benin
Guinea
Lesotho
South Africa
Gabon
Senegal
Togo
Burkina Faso
Guinea-Bissau
Uganda
Mali
Cape Verde
Congo
Eritrea
United Republic of Tanzania
Mozambique
Chad
Cameroon
Cte d'Ivoire
Gambia
Ghana
Burundi
Sao Tome and Principe
Angola
Algeria
Sierra Leone
Niger
Liberia
Nigeria
Central African Republic
Equatorial Guinea
Mauritania
Mauritius
Democratic Republic of the Congo
Madagascar
Ethiopia
Malawi
Seychelles
Croatia
Slovakia
Romania
Georgia
Turkey
Belarus
Hungary
Poland
Serbia
Azerbaijan
Armenia
Kazakhstan
Uzbekistan
Lithuania
Republic of Moldova
Bulgaria
Latvia
Tajikistan
Ukraine
Kyrgyzstan
Russian Federation
Albania
Andorra
Austria
Belgium
Bosnia and Herzegovina
Cyprus
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Iceland
Ireland
Israel
Italy
Luxembourg
Malta
Monaco
Montenegro
Netherlands
Norway
Portugal
San Marino
Slovenia
Spain
Sweden
Switzerland
The former Yugoslav Republic of Macedonia
Turkmenistan
United Kingdom
Oman
Lebanon
Morocco
Djibouti
Egypt
Tunisia
Pakistan
Iran (Islamic Republic of)
Sudan
Afghanistan
Somalia
Bahrain
Iraq
Jordan
Kuwait
Libya
Qatar
Saudi Arabia
Syrian Arab Republic
United Arab Emirates
Yemen
Cambodia
Papua New Guinea
Viet Nam
Lao People's Democratic Republic
Philippines
Malaysia
Fiji
China
Mongolia
Australia
Brunei Darussalam
Cook Islands
Japan
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Zealand
Niue
Palau
Republic of Korea
Samoa
Singapore
Solomon Islands
Tonga
Tuvalu
Vanuatu
This chart shows estimated antiretroviral therapy coverage in 2010 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.
AFR EMRAMR EUR
SEAR
WPR
REGIONAL AVERAGE: 49
REGIONAL AVERAGE: 39
REGIONAL AVERAGE: 63
REGIONAL AVERAGE: 8
REGIONAL AVERAGE: 43
REGIONAL AVERAGE: 23
with advanced HIV infection (%)
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Argentina
Bel ize
Bolivia (Plurinational State of)
Brazi l
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Guatemala
Guyana
Hai ti
Honduras
Jamaica
Mex ico
Nicaragua
Panama
Paraguay
Peru
Suriname
Venezuela (Boli varian Republic o f)
Non-endemic
Antigua and Barbuda
Bahamas
Barbados
Canada
Chile
Cuba
Dominica
Grenada
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Trinidad and Tobago
United States of America
Uruguay
Indonesia
Bangladesh
Bhutan
Democratic People's Republic of Korea
Ind ia
Myanmar
N epal
Sri Lanka
Thailand
Timor-Leste
Non-endemic
Maldives
Niger
Sao Tome and Principe
Gambia
Kenya
Equatorial Guinea
Zambia
Guinea-Bissau
Togo
Ethiopia
Senegal
Ghana
Mali
Sierra Leone
Malawi
Rwanda
Benin
Angola
United Republic of Tanzania
Central African Republic
Cameroon
Burkina Faso
Uganda
Burundi
Mozambique
Congo
Cte d'Ivoire
Democratic Republic of the Congo
Nigeria
Liberia
Zimbabwe
Guinea
Algeria
Botswana
Cape Verde
Chad
Comoros
Eritrea
Gabon
Madagascar
Mauritania
Mauritius
Namibia
South Africa
Swaziland
Non-endemic
Lesotho
Seychelles
Tajikistan
Armenia
Azerbaijan
Georgia
Kyrgyzstan
Russian Federation
Turkey
Turkmenistan
Uzbekistan
Non-endemic
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Hungary
Iceland
Ireland
Israel
Italy
Kazakhstan
Latvia
Lithuania
Luxembourg
Malta
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Republic of Moldova
Romania
San Marino
Serbia
Slovakia
Slovenia
Spain
Sweden
Switzerland
The former Yugoslav Republic of Macedonia
Ukraine
United Kingdom
Sudan
Somalia
Yemen
Afghanistan
Djibouti
Pakistan
Egypt
Iran (Islamic Republic of)
I ra q
Morocco
O man
Saudi Arabia
Syrian Arab Republic
Non-endemic
Bahrain
Jordan
Kuwait
Lebanon
Libya
Qatar
Tunisia
United Arab Emirates
Viet Nam
Cambodia
China
Lao People's Democratic Republic
Malaysia
Papua New Guinea
Philippines
Republic of Korea
Solomon Islands
Vanuatu
Non-endemic
Australia
Brunei Darussalam
Cook Islands
Fiji
Japan
Kiribati
Marshall Islands
Micronesia (Federated States of)
Mongolia
Nauru
New Zealand
Niue
Palau
Samoa
Singapore
Tonga
Tuvalu
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.
AFR EMRAMR EUR
SEAR
WPR
REGIONAL AVERAGE: 5
REGIONAL AVERAGE: 18
insecticide-treated nets (%)
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Haiti
Honduras
Argentina
Belize
Bolivia (Plurinational State of)
Brazil
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Guatemala
Guyana
Jamaica
Mexico
Nicaragua
Panama
Paraguay
Peru
Suriname Venezuela (Boli varian Republic o f)
Non-endemic
Antigua and Barbuda
Bahamas
Barbados
Canada
Chile
Cuba
Dominica
Grenada
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Trinidad and Tobago
United States of America
Uruguay
India
Timor-Leste
Indonesia
Sri Lanka
Nepal
Bangladesh
Bhutan
Democratic People's Republic of Korea
Myanmar
Thailand
Non-endemic
Maldives
Guinea
Liberia
Gambia
Uganda
United Republic of Tanzania
Cameroon
Central African Republic
Benin
Guinea-Bissau
Nigeria
Burkina Faso
Congo
Togo
Malawi
Ghana
Democratic Republic of the Congo
Mozambique
Cte d'Ivoire
Chad
Zambia
Niger
Mali
Sierra Leone
Angola
Zimbabwe
Kenya
Mauritania
Namibia
Madagascar
Burundi
Eritrea
Ethiopia
Senegal
Sao Tome and Principe
Rwanda
Swaziland
Algeria
Botswana
Cape Verde
Comoros
Equatorial Guinea
Gabon
Mauritius
South Africa
Non-endemic
Lesotho
Seychelles
Tajikistan
Armenia
Azerbaijan
Georgia
Kyrgyzstan
Russian Federation
Turkey
Turkmenistan
Uzbekistan
Non-endemic
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Hungary
Iceland
Ireland
Israel
Italy
Kazakhstan
Latvia
Lithuania
Luxembourg
Malta
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Republic of Moldova
Romania
San Marino
Serbia
Slovakia
Slovenia
Spain
Sweden
Switzerland
The former Yugoslav Republic of Macedonia
Ukraine
United Kingdom
Sudan
Djibouti
Somalia
Pakistan
Afghanistan
Egypt
Iran (Islamic Republic of)
Iraq
Morocco
Oman
Saudi Arabia
Syrian Arab Republic
Yemen
Non-endemic
Bahrain
Jordan
Kuwait
Lebanon
Libya
Qatar
Tunisia
United Arab Emirates
Solomon Islands
Lao People's Democratic Republic
Viet Nam
Cambodia
Philippines
China
Malaysia
Papua New Guinea
Republic of Korea
Vanuatu
Non-endemic
Australia
Brunei Darussalam
Cook Islands
Fiji
Japan
Kiribati
Marshall Islands
Micronesia (Federated States of)
Mongolia
Nauru
New Zealand
Niue
Palau
Samoa
Singapore
Tonga
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.
AFR EMREURAMR
SEAR
WPR
treatment with any antimalarial (%)
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Bahamas 11
Honduras 51
Mexico 16
Costa Rica 13
Peru 106
Ecuador 65
Saint Lucia 7.9
United States of America 4.1
Nicaragua 42
Dominican Republic 67
Argentina 27
Barbados 1.7
Cuba 9.3
Brazil 43
Chile 19
Bolivia (Plurinational State of) 135
Canada 4.7
El Salvador 28
Colombia 34
Haiti 230
Uruguay 21
Guatemala 62
Saint Vincent and the Grenadines 24
Dominica 13
Grenada 4.1
Paraguay 46
Saint Kitts and Nevis 7.6
Venezuela (Boli varian Republic o f) 33
Belize 40
Jamaica 6.6
Panama 48
Trinidad and Tobago 19
Antigua and Barbuda 4.9
Guyana 111
Suriname 145
Maldives 36
Bhutan 151
India 185
Myanmar 384
Bangladesh 225
Indonesia 189
Nepal 163
Sri Lanka 66
Thailand 137
Timor-Leste 498
Democratic People's Republic of Korea 345
Rwanda 106
Malawi 219
Uganda 209
Botswana 503
Mali 68
Namibia 603
Ghana 86
Zambia 462
Comoros 37
Cte d'Ivoire 139
Burundi 129
United Republic of Tanzania 177
Nigeria 133
Burkina Faso 55
Seychelles 31
Sao Tome and Principe 96
Zimbabwe 633
Mauritius 22
Cape Verde 147
Democratic Republic of the Congo 327
Algeria 90
Kenya 298
Chad 276
Cameroon 177
Congo 372
Central African Republic 319
Mozambique 544
Benin 94
Ethiopia 261
Lesotho 633
Eritrea 100
Liberia 293
Gambia 273
Guinea-Bissau 233
Senegal 288
Angola 304
Togo 455
Mauritania 337
Niger 185
Madagascar 266
Equatorial Guinea 135
Swaziland 1287
Guinea 334
South Africa 981
Sierra Leone 682
Gabon 553
Serbia 18.0
Austria 5.0
Slovakia 8.0
Germany 4.8
Andorra 7.4
Estonia 25
Latvia 39
Czech Republic 6.8
Hungary 15.0
Montenegro 19
Denmark 6.0
Croatia 21
The former Yugoslav Republic of Macedonia 21
Israel 4.9
Slovenia 11
Italy 4.9
Finland 6.7
Greece 4.6
Albania 14
Turkey 28
Portugal 29
Belgium 8.7
Ireland 8.1
Romania 116
Spain 16
Poland 23
France 9.3
Turkmenistan 66
Netherlands 7.3
Kazakhstan 151
Bosnia and Herzegovina 50
Lithuania 69
Switzerland 7.6
Russian Federation 106
Bulgaria 40
Luxembourg 8.8
Belarus 70
Norway 6.0
Azerbaijan 110
Georgia 107
Uzbekistan 128
Cyprus 4.4
Armenia 73
Kyrgyzstan 159
United Kingdom 13.0
Iceland 5.0
Ukraine 101
Sweden 6.8
Republic of Moldova 182
Tajikistan 206
Malta 12
Monaco ...
San Marino ...
Yemen 49
Iran (Islamic Republic of) 17
United Arab Emirates 3.1
Syrian Arab Republic 20
Jordan 5.4
Bahrain 23
Egypt 18Qatar 38
Morocco 91
Oman 13
Saudi Arabia 18
Afghanistan 189
Iraq 64
Lebanon 17
Libya 40
Pakistan 231
Sudan 119
Djibouti 620
Somalia 286
Tunisia 25
Kuwait 41
Niue 6.5
Cook Islands 3.5
Samoa 11
Japan 21
Solomon Islands 108
Tonga 17
Vanuatu 69
Tuvalu 237
Brunei Darussalam 68
New Zealand 7.6
Singapore 35
China 78
Micronesia (Federated States of) 206
Palau 124
Philippines 275
Malaysia 82
Mongolia 224
Cambodia 437
Nauru 40
Fiji 27
Viet Nam 199
Kiribati 370Papua New Guinea 303
Australia 6.3
Lao People's Democratic Republic 90
Republic of Korea 97
Marshall Islands 502
This chart shows the AARD in the estimated incidence of tuberculosis per 100 000 population per year for the period 20002010. Within each WHO region, countries are sorted in
descending order based on the AARD in estimated tuberculosis incidence.
Achieving the MDG target of halt ing by 2015 and beginning to reverse the incidence of malaria and other major diseases such as tuberculosis can be interpreted as any AARD greater
than 0%. The vertical line corresponds to an AARD of 0% with a range of -10% to the left of the line and +15% to the right. The numerical values show the estimated incidence of new
tuberculosis cases per 100 000 population for 2010.
Further details may be found in Part III, Table 2.
AFR EMRAMR EUR
SEAR
WPR
REGIONAL AVERAGE: 276
REGIONAL AVERAGE: 193
REGIONAL AVERAGE: 29REGIONAL AVERAGE: 109
REGIONAL AVERAGE: 93
REGIONAL AVERAGE: 47
20002010
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Barbados
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The AARD in the proportion of the population without access to basic sanitation was calculated using the complement of the estimated proportion using improved sanitation, for the period
19902010 (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 (
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Part II
Highlightedtopics
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Noncommunicable diseases: a majorhealth challenge of the 21st century
such trends, the total number of annual NCD deaths is
projected to reach 55 million by 2030 whereas annual
infectious disease deaths are projected to decline over
the next 20 years.
In 2008, around 80% of all NCD deaths (29 million) oc-
curred in low- and middle-income countries. In addi-tion, a higher proportion (48%) of all NCD deaths in low-
and middle-income countries are estimated to occur in
people under the age of 70 compared with an esti-
mated 26% in high-income countries and a global av-
erage of 44%. Such premature death rates from NCDs
are a major consideration in determining their impact.
The probability of dying from an NCD between the ages
of 30 and 70 is highest in sub-Saharan Africa, Eastern
Europe and parts of Asia. (Figure 7).
Of the estimated 57 million global deaths in 2008, 36
million (63%) were due to noncommunicable diseases
(NCDs).11,12 Population growth and increased longev-
ity are leading to a rapid increase in the total number
of middle-aged and older adults, with a corresponding
increase in the number of deaths caused by NCDs. It
is projected that the annual number of deaths due tocardiovascular disease will increase from 17 million in
2008 to 25 million in 2030, with annual cancer deaths
increasing from 7.6 million to 13 million. As a result of
11. Cause-specific mortality: regional estimates for 2008. Geneva,
World Health Organization, 2011 (http://www.who.int/healthin-
fo/global_burden_disease/estimates_regional/en/index.html).
12. Causes of death 2008: data sources and methods. Geneva,
World Health Organization, 2011 (http://www.who.int/healthin-
fo/global_burden_disease/cod_2008_sources_methods.pdf).
Figure 7. Probability of death from an NCD between ages 30 and 70 (%), 2008
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NCD risk factors are known
The largest proportion of NCD deaths is caused by car-
diovascular disease (48%), followed by cancers (21%)and chronic respiratory diseases (12%). Diabetes is di-
rectly responsible for 3.5% of NCD deaths. Behavioural
risk factors, including tobacco use, physical inactivity,
unhealthy diet and the harmful use of alcohol, are esti-
mated to be responsible for about 80% of coronary heart
disease and cerebrovascular disease.13
Behavioural risk factors are associated with four key
metabolic and/or physiological changes raised blood
pressure, increased weight leading to obesity, hypergly-
caemia and hyperlipidemia. These changes can havemultiple effects. For example, in addition to its direct role
in diabetes, raised fasting blood glucose also increases
the risk of cardiovascular deaths, and was estimated to
cause 22% of coronary heart disease deaths and 16%
of stroke deaths.13 In terms of attributable deaths, the
leading behavioural and physiological risk factors glob-
13. Global health risks: mortality and burden of disease attributable
to selected major risks. Geneva, World Health Organization,
2009 (http://www.who.int/healthinfo/global_burden_disease/
GlobalHealthRisks_report_full.pdf).
ally are raised blood pressure (to which 13% of global
deaths are attributed), followed by tobacco use (9%),
raised blood glucose (6%), physical inactivity (6%) and
being overweight or obese (5%).
13
It has been estimated that raised blood pressure causes
51% of stroke deaths and 45% of coronary heart dis-
ease deaths.13 Mean blood pressure has decreased
dramatically in nearly all high-income countries. For
example, mean age-standardized male systolic blood
pressure (SBP) in the United States decreased from
131 mm Hg (95% uncertainty interval 127135) in
1980 to 123 mm Hg (120127) in 2008, while mean
age-standardized female SBP decreased from 125
mm Hg (121130) to 118 mm Hg (115122) mm Hg.In contrast, mean blood pressure has been stable or
increasing in most African countries.14,15 Today, mean
blood pressure remains very high in many African and
14. Danaei G et al. (2011). National, regional, and global trends
in systolic blood pressure since 1980: Systematic analysis
of health examination surveys and epidemiological studies
with 786 country-years and 5.4 million participants. Lancet,
377:568577.
15. Global Health Observatory. Geneva, World Health Organiza-
tion, 2011 (http://www.who.int/gho).
50
45
40
35
30
25
20
15
10
5
0
(%)
1980 2008 1980 2008 1980 2008 1980 2008 1980 2008 1980 2008 1980 2008
Figure 8. Age-standardized prevalence (%) of raised blood pressure (SBP 140 mm Hg or DBP 90 mm Hg)
among adults aged 25 years and over by WHO region, 1980 and 2008
AFR AMR SEAR EUR EMR WPR Global
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some European countries. As shown in Figure 8, the
prevalence of raised blood pressure in 2008 (SBP 140
mm Hg or diastolic blood pressure (DBP) 90 mm
Hg) was highest in the WHO African Region at 36.8%(34.039.7). Applying the lessons learnt in high-income
countries to low- and middle-income settings has the
potential to significantly reduce the overall rate of adult
mortality from cardiovascular diseases.
More than two thirds of all cancer deaths occur in
low- and middle-income countries, with lung, breast,
colorectal, stomach and liver cancers causing the ma-
jority of such deaths. Risk factors for cancer include the
four main NCD risk factors. However, infections such as
hepatitis B and hepatitis C (both associated with livercancer), human papillomavirus (associated with cervi-
cal cancer) and Helicobacter pylori (associated with
stomach cancer) also cause 20% of cancer deaths in
low- and middle-income countries, and 9% of cancer
deaths in high-income countries.13
Predominant cancer types vary according to the prevail-
ing underlying risks. In sub-Saharan Africa, for example,
cervical cancer is the leading cause of cancer death
among women due to a high prevalence of infection
with human papillomavirus. In high-income countries,
the leading causes of cancer deaths are lung cancer
among men and breast cancer among women.
Worldwide, 2.8 million people die each year as a resultof being overweight or obese.13 Being overweight or
obese can lead to adverse metabolic effects on blood
pressure, cholesterol and triglyceride levels, and can
result in diabetes. Being overweight or obese thus in-
creases the risks of coronary heart disease, ischaemic
stroke, type 2 diabetes mellitus, and a number of com-
mon cancers.
Between 1980 and 2008, the worldwide prevalence of
obesity (body mass index 30 kg/m2) almost doubled
(Figure 9). By 2008, 10% of men and 14% of women inthe world were obese, compared with 5% of men and
8% of women in 1980. As a result, an estimated half
a billion men and women over the age of 20 were esti-
mated to be obese in 2008. In all WHO regions, women
were more likely to be obese than men.
The prevalence of overweight and obese individuals
was highest in the WHO Region of the Americas (62%
overweight in both sexes, and 26% obese) and lowest
in the WHO South-East Asia Region (14% overweight
in both sexes and 3% obese). In the WHO European
Figure 9. Age-standardized prevalence (%) of obesity (body mass index 30 kg/m2) among adults aged 20 years
and over by WHO region, 1980 and 2008
30
25
20
15
10
5
0
(%)
1980 2008 1980 2008 1980 2008 1980 2008 1980 2008 1980 2008 1980 2008
AFR AMR SEAR EUR EMR WPR Global
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Region, WHO Eastern Mediterranean Region and WHO
Region of the Americas, over 50% of women were
overweight. In all three regions, approximately half of
these overweight women were obese (23%, 24% and29% respectively).
The United Nations
is taking action
To address the prevention and control of NCDs, with
a particular focus on developing countries, the United
Nations General Assembly convened a High-Level
meeting on NCDs in September 2011. The Political
Declaration adopted by the General Assembly rep-resents a breakthrough in the global struggle against
NCDs. It acknowledges that NCDs constitute one of
the major challenges to development in the 21st cen-
tury, highlights the rapidly growing magnitude of NCDs
in developing countries, and recognizes NCDs as a
contributing factor to poverty and hunger in developing
countries. The declaration outlines ways to strengthen
national capacities to address NCDs, and to respond
to the challenge through the reduction of risk factors,
the strengthening of health systems, and improved
monitoring and evaluation. The declaration specificallyrequests WHO:
Q to develop a comprehensive global monitoring
framework and recommendations for a set of vol-
untary global targets for the prevention and control
of NCDs;
Q to provide guidance to Member States on the devel-
opment of national targets and indicators;
Q to collaborate with the Secretary-General of the
United Nations in submitting a report to the United
Nations General Assembly in 2012 on options for
strengthening and facilitating multisectoral action for
the prevention and control of NCDs through effec-
tive partnership.
The global monitoring framework, targets and indica-
tors are now being developed with the full participation
of WHO Member States and in collaboration with other
United Nations agencies, funds and programmes, and
with relevant international organizations.
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Health expenditures and universal coverage
Two recent World Health Assembly (WHA) resolutions
16,17
have highlighted the importance of health-financing
systems in helping countries attain and maintain univer-
sal coverage sometimes called universal health cov-
erage or social health protection. Universal coverage
has been defined as:
ensuring that all people have access to needed
health services prevention, promotion, treatment
and rehabilitation without facing financial ruin be-
cause of the need to pay for them.18
The two WHA resolutions requested that WHO support
countries seeking to modify their health-financing sys-
tems in order to achieve this aim partly through the
sharing of information on best practices and country ex-
periences. Drawing on the experiences of countries at all
income levels, TheWorld Health Report 201018 makes
the case that all countries could do at least one thing to
move closer to universal coverage or to protect the gains
already made. Options for immediate action include:
Q raising more funds for health domestically;
Q reducing financial barriers to services by increasingforms of prepayment and the pooling of funds, rath-
er than relying on direct out-of-pocket payments;
Q improving efficiency and equity in the way resources
are used.
The report urged that richer countries continue to sup-
port lower-income countries in all of these areas. In the
16. Fifty-Eighth World Health Assembly. Resolution WHA 58.33.
Sustainable health financing, universal coverage and socialhealth insurance. Geneva, World Health Organization, 2005
(http://apps.who.int/gb/ebwha/pdf_files/WHA58-REC1/eng-
lish/Resolutions.pdf accessed 8 February 2012).
17. Sixty-Fourth World Health Assembly. Resolution WHA 64.9.
Sustainable health financing structures and universal coverage.
Geneva, World Health Organization, 2011 (http://apps.who.
int/gb/ebwha/pdf_files/WHA64/A64_R9-en.pdf accessed 8
February 2012).
18. The World Health Report 2010. Health systems financing: the
path to universal coverage. Geneva, World Health Organiza-
tion, 2010 (http://www.who.int/whr/2010/en/index.html ac-
cessed 8 February 2012).
case of the first two options, national health accountsand other forms of expenditure tracking can provide
very useful information.
How much money is available
for health?
The overall level of funding allocated to health sets the
boundaries that determine which services will be avail-
able to the population. This overall level is determined
partly by a countrys wealth, the proportion of nation-al income devoted to health, and inflows of funds for
health from external partners.
Figure 10 shows total health expenditure (US$) per
capita for 2009. Data are unavailable for the Democratic
Republic of Korea, Somalia and Zimbabwe. Because of
the enormous variation in health expenditures between
different countries, the relative values shown by the
horizontal bars use a logarithmic scale, with the corre-
sponding absolute figures shown to the left of each bar.
Expenditures per capita from all sources public, pri-
vate and external partners ranged from US$ 11 in Er-
itrea to US$ 8262 in Luxembourg. Average (weighted)
per capita expenditures also varied substantially across
WHO region