Mortality rate, under-5, female (per 1,000 live births) - Country Ranking - Asia

Definition: Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.

Source: Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Pakistan 75.00 2016
2 Afghanistan 66.40 2016
3 Lao PDR 57.90 2016
4 Yemen 51.10 2016
5 Myanmar 46.00 2016
6 Timor-Leste 45.60 2016
7 India 44.20 2016
8 Turkmenistan 41.50 2016
9 Tajikistan 38.10 2016
10 Nepal 32.30 2016
11 Bangladesh 31.60 2016
12 Bhutan 29.00 2016
13 Azerbaijan 28.20 2016
14 Iraq 28.10 2016
15 Cambodia 26.90 2016
16 Philippines 23.90 2016
17 Indonesia 23.20 2016
18 Uzbekistan 20.60 2016
19 Kyrgyz Republic 18.60 2016
20 Vietnam 18.00 2016
21 Dem. People's Rep. Korea 17.80 2016
22 Jordan 16.60 2016
23 Syrian Arab Republic 15.90 2016
24 Iran 14.50 2016
25 Mongolia 14.40 2016
26 Saudi Arabia 12.00 2016
27 Turkey 11.90 2016
27 Armenia 11.90 2016
29 Thailand 10.60 2016
30 Oman 9.70 2016
30 Kazakhstan 9.70 2016
32 Georgia 9.40 2016
33 China 9.30 2016
34 Brunei 9.10 2016
35 Sri Lanka 8.50 2016
36 Kuwait 7.80 2016
36 Qatar 7.80 2016
38 Lebanon 7.70 2016
39 Malaysia 7.60 2016
40 Bahrain 7.40 2016
41 United Arab Emirates 6.80 2016
41 Russia 6.80 2016
43 Israel 3.40 2016
44 Korea 3.10 2016
45 Japan 2.50 2016
45 Singapore 2.50 2016

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Development Relevance: Mortality rates for different age groups (infants, children, and adults) and overall mortality indicators (life expectancy at birth or survival to a given age) are important indicators of health status in a country. Because data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. And they are among the indicators most frequently used to compare socioeconomic development across countries.

Limitations and Exceptions: Complete vital registration systems are fairly uncommon in developing countries. Thus estimates must be obtained from sample surveys or derived by applying indirect estimation techniques to registration, census, or survey data. Survey data are subject to recall error, and surveys estimating infant/child deaths require large samples because households in which a birth has occurred during a given year cannot ordinarily be preselected for sampling. Indirect estimates rely on model life tables that may be inappropriate for the population concerned. Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.

Statistical Concept and Methodology: The main sources of mortality data are vital registration systems and direct or indirect estimates based on sample surveys or censuses. A "complete" vital registration system - covering at least 90 percent of vital events in the population - is the best source of age-specific mortality data. Estimates of neonatal, infant, and child mortality tend to vary by source and method for a given time and place. Years for available estimates also vary by country, making comparisons across countries and over time difficult. To make neonatal, infant, and child mortality estimates comparable and to ensure consistency across estimates by different agencies, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), which comprises the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), the World Bank, the United Nations Population Division, and other universities and research institutes, developed and adopted a statistical method that uses all available information to reconcile differences. The method uses statistical models to obtain a best estimate trend line by fitting a country-specific regression model of mortality rates against their reference dates.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development ac