South Korea Health Statistics
Korea Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
KR: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 1.668 Ratio in 2016. This records a decrease from the previous number of 1.692 Ratio for 2015. KR: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 5.937 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 32.489 Ratio in 1960 and a record low of 1.668 Ratio in 2016. KR: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Adolescent fertility rate is the number of births per 1,000 women ages 15-19.; ; United Nations Population Division, World Population Prospects.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.67 2016 | yearly | 1960 - 2016 |
View South Korea's Korea Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2016 in the chart:
South Korea Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
KR: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 3.900 NA in 2016. This records an increase from the previous number of 3.800 NA for 2010. KR: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 3.850 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 3.900 NA in 2016 and a record low of 3.800 NA in 2010. KR: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.900 2016 | yearly | 2010 - 2016 |
View South Korea's South Korea Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
South Korea Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
KR: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 16.700 NA in 2016. This records an increase from the previous number of 16.200 NA for 2010. KR: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 16.450 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 16.700 NA in 2016 and a record low of 16.200 NA in 2010. KR: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 16.700 2016 | yearly | 2010 - 2016 |
View South Korea's South Korea Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Korea Births Attended by Skilled Health Staff: % of Total
KR: Births Attended by Skilled Health Staff: % of Total data was reported at 100.000 % in 2015. This records an increase from the previous number of 99.800 % for 2012. KR: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 99.800 % from Dec 1990 (Median) to 2015, with 9 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 97.900 % in 1991. KR: Births Attended by Skilled Health Staff: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Assistance by trained professionals during birth reduces the incidence of maternal deaths during childbirth. The share of births attended by skilled health staff is an indicator of a health system’s ability to provide adequate care for pregnant women.
| Last | Frequency | Range |
|---|---|---|
| 100.00 2015 | yearly | 1990 - 2015 |
View South Korea's Korea Births Attended by Skilled Health Staff: % of Total from 1990 to 2015 in the chart:
Korea Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
KR: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 10.100 % in 2016. This records an increase from the previous number of 9.700 % for 2015. KR: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 8.400 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 10.100 % in 2016 and a record low of 6.700 % in 2000. KR: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 9.70 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2015 in the chart:
Korea Cause of Death: by Injury: % of Total
KR: Cause of Death: by Injury: % of Total data was reported at 10.000 % in 2016. This records a decrease from the previous number of 10.600 % for 2015. KR: Cause of Death: by Injury: % of Total data is updated yearly, averaging 11.250 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 12.900 % in 2010 and a record low of 10.000 % in 2016. KR: Cause of Death: by Injury: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 11.30 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Cause of Death: by Injury: % of Total from 2000 to 2015 in the chart:
Korea Cause of Death: by Non-Communicable Diseases: % of Total
KR: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 79.800 % in 2016. This records an increase from the previous number of 79.700 % for 2015. KR: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 79.900 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 81.500 % in 2000 and a record low of 79.700 % in 2015. KR: Cause of Death: by Non-Communicable Diseases: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 79.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2015 in the chart:
Korea Community Health Workers: per 1000 People
KR: Community Health Workers: per 1000 People data was reported at 0.377 Ratio in 2009. This records an increase from the previous number of 0.362 Ratio for 2008. KR: Community Health Workers: per 1000 People data is updated yearly, averaging 0.340 Ratio from Dec 2004 (Median) to 2009, with 6 observations. The data reached an all-time high of 0.377 Ratio in 2009 and a record low of 0.321 Ratio in 2005. KR: Community Health Workers: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Community health workers include various types of community health aides, many with country-specific occupational titles such as community health officers, community health-education workers, family health workers, lady health visitors and health extension package workers.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.38 2009 | yearly | 2004 - 2009 |
View South Korea's Korea Community Health Workers: per 1000 People from 2004 to 2009 in the chart:
Korea Completeness of Infant Death Reporting
KR: Completeness of Infant Death Reporting data was reported at 81.509 % in 2009. This records a decrease from the previous number of 88.814 % for 2008. KR: Completeness of Infant Death Reporting data is updated yearly, averaging 87.912 % from Dec 2006 (Median) to 2009, with 3 observations. The data reached an all-time high of 88.814 % in 2008 and a record low of 81.509 % in 2009. KR: Completeness of Infant Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Completeness of infant death reporting is the number of infant deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of infant deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; ;
| Last | Frequency | Range |
|---|---|---|
| 81.51 2009 | yearly | 2006 - 2009 |
View South Korea's Korea Completeness of Infant Death Reporting from 2006 to 2009 in the chart:
Korea Completeness of Total Death Reporting
KR: Completeness of Total Death Reporting data was reported at 97.542 % in 2009. This records a decrease from the previous number of 99.593 % for 2008. KR: Completeness of Total Death Reporting data is updated yearly, averaging 99.593 % from Dec 2006 (Median) to 2009, with 3 observations. The data reached an all-time high of 100.000 % in 2006 and a record low of 97.542 % in 2009. KR: Completeness of Total Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 97.54 2009 | yearly | 2006 - 2009 |
View South Korea's Korea Completeness of Total Death Reporting from 2006 to 2009 in the chart:
Korea Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
KR: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 79.600 % in 2015. This records an increase from the previous number of 77.100 % for 2012. KR: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 77.100 % from Dec 1965 (Median) to 2015, with 19 observations. The data reached an all-time high of 84.500 % in 2003 and a record low of 16.000 % in 1965. KR: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for women ages 15-49 who are married or in union.; ; UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.; Weighted average; Contraceptive prevalence amongst women of reproductive age is an indicator of women's empowerment and is related to maternal health, HIV/AIDS, and gender equality.
| Last | Frequency | Range |
|---|---|---|
| 80.00 2009 | yearly | 1965 - 2009 |
View South Korea's Korea Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 from 1965 to 2009 in the chart:
Korea Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49
KR: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data was reported at 70.100 % in 2009. This records a decrease from the previous number of 71.600 % for 2006. KR: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data is updated yearly, averaging 63.100 % from Dec 1965 (Median) to 2009, with 16 observations. The data reached an all-time high of 71.600 % in 2006 and a record low of 14.000 % in 1965. KR: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, at least one modern method of contraception. It is usually measured for women ages 15-49 who are married or in union. Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.; ; Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 70.10 2009 | yearly | 1965 - 2009 |
View South Korea's Korea Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 from 1965 to 2009 in the chart:
Korea Current Health Expenditure Per Capita: Current PPP
KR: Current Health Expenditure Per Capita: Current PPP data was reported at 0.003 Intl $ mn in 2015. This records an increase from the previous number of 0.002 Intl $ mn for 2014. KR: Current Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.002 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.003 Intl $ mn in 2015 and a record low of 0.001 Intl $ mn in 2000. KR: Current Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Current expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Current Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Korea Current Health Expenditure Per Capita: Current Price
KR: Current Health Expenditure Per Capita: Current Price data was reported at 0.002 USD mn in 2015. This records an increase from the previous number of 0.002 USD mn for 2014. KR: Current Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.001 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.002 USD mn in 2015 and a record low of 0.000 USD mn in 2000. KR: Current Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Current Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Korea Current Health Expenditure: % of GDP
KR: Current Health Expenditure: % of GDP data was reported at 7.391 % in 2015. This records an increase from the previous number of 7.125 % for 2014. KR: Current Health Expenditure: % of GDP data is updated yearly, averaging 5.739 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 7.391 % in 2015 and a record low of 3.999 % in 2000. KR: Current Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 7.39 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Current Health Expenditure: % of GDP from 2000 to 2015 in the chart:
Korea Depth of the Food Deficit: Kilocalories per Person per Day
KR: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 4.000 kcal in 2016. This stayed constant from the previous number of 4.000 kcal for 2015. KR: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 12.000 kcal from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 14.000 kcal in 1993 and a record low of 4.000 kcal in 2016. KR: Depth of the Food Deficit: Kilocalories per Person per Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.; ; Food and Agriculture Organization, Food Security Statistics.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 4.00 2016 | yearly | 1992 - 2016 |
View South Korea's Korea Depth of the Food Deficit: Kilocalories per Person per Day from 1992 to 2016 in the chart:
Korea Diabetes Prevalence: % of Population Aged 20-79
KR: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 6.800 % in 2017. KR: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 6.800 % from Dec 2017 (Median) to 2017, with 1 observations. KR: Diabetes Prevalence: % of Population Aged 20-79 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes.; ; International Diabetes Federation, Diabetes Atlas.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 6.80 2017 | yearly | 2017 - 2017 |
View South Korea's Korea Diabetes Prevalence: % of Population Aged 20-79 from 2017 to 2017 in the chart:
Korea Domestic General Government Health Expenditure Per Capita: Current PPP
KR: Domestic General Government Health Expenditure Per Capita: Current PPP data was reported at 0.001 Intl $ mn in 2015. This records an increase from the previous number of 0.001 Intl $ mn for 2014. KR: Domestic General Government Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.001 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. KR: Domestic General Government Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Public expenditure on health from domestic sources per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Domestic General Government Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Korea Domestic General Government Health Expenditure Per Capita: Current Price
KR: Domestic General Government Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2015. This records an increase from the previous number of 0.001 USD mn for 2014. KR: Domestic General Government Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.001 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 USD mn in 2015 and a record low of 0.000 USD mn in 2000. KR: Domestic General Government Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Public expenditure on health from domestic sources per capita expressed in current US dollars.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Domestic General Government Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Korea Domestic General Government Health Expenditure: % of Current Health Expenditure
KR: Domestic General Government Health Expenditure: % of Current Health Expenditure data was reported at 56.397 % in 2015. This records an increase from the previous number of 56.240 % for 2014. KR: Domestic General Government Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 56.823 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 58.665 % in 2001 and a record low of 53.890 % in 2000. KR: Domestic General Government Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Share of current health expenditures funded from domestic public sources for health. Domestic public sources include domestic revenue as internal transfers and grants, transfers, subsidies to voluntary health insurance beneficiaries, non-profit institutions serving households (NPISH) or enterprise financing schemes as well as compulsory prepayment and social health insurance contributions. They do not include external resources spent by governments on health.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 56.40 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Domestic General Government Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Korea Domestic General Government Health Expenditure: % of GDP
KR: Domestic General Government Health Expenditure: % of GDP data was reported at 4.168 % in 2015. This records an increase from the previous number of 4.007 % for 2014. KR: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 3.293 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 4.168 % in 2015 and a record low of 2.155 % in 2000. KR: Domestic General Government Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of the economy as measured by GDP.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 4.17 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Domestic General Government Health Expenditure: % of GDP from 2000 to 2015 in the chart:
Korea Domestic General Government Health Expenditure: % of General Government Expenditure
KR: Domestic General Government Health Expenditure: % of General Government Expenditure data was reported at 12.860 % in 2015. This records an increase from the previous number of 12.530 % for 2014. KR: Domestic General Government Health Expenditure: % of General Government Expenditure data is updated yearly, averaging 10.515 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 12.860 % in 2015 and a record low of 8.190 % in 2003. KR: Domestic General Government Health Expenditure: % of General Government Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of total public expenditure. It indicates the priority of the government to spend on health from own domestic public resources.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 12.86 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Domestic General Government Health Expenditure: % of General Government Expenditure from 2000 to 2015 in the chart:
Korea Domestic Private Health Expenditure Per Capita: Current PPP
KR: Domestic Private Health Expenditure Per Capita: Current PPP data was reported at 0.001 Intl $ mn in 2015. This records an increase from the previous number of 0.001 Intl $ mn for 2014. KR: Domestic Private Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.001 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. KR: Domestic Private Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Current private expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Domestic Private Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Korea Domestic Private Health Expenditure Per Capita: Current Price
KR: Domestic Private Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2015. This records an increase from the previous number of 0.001 USD mn for 2014. KR: Domestic Private Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 USD mn in 2015 and a record low of 0.000 USD mn in 2001. KR: Domestic Private Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Current private expenditures on health per capita expressed in current US dollars. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Domestic Private Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Korea Domestic Private Health Expenditure: % of Current Health Expenditure
KR: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 43.603 % in 2015. This records a decrease from the previous number of 43.760 % for 2014. KR: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 43.177 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 46.110 % in 2000 and a record low of 41.335 % in 2001. KR: Domestic Private Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Share of current health expenditures funded from domestic private sources. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 43.60 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Domestic Private Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Korea External Health Expenditure Per Capita: Current PPP
KR: External Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This stayed constant from the previous number of 0.000 Intl $ mn for 2014. KR: External Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. KR: External Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Current external expenditures on health per capita expressed in international dollars at purchasing power parity (PPP). External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea External Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Korea External Health Expenditure Per Capita: Current Price
KR: External Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This stayed constant from the previous number of 0.000 USD mn for 2014. KR: External Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. KR: External Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Current external expenditures on health per capita expressed in current US dollars. External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea External Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Korea External Health Expenditure: % of Current Health Expenditure
KR: External Health Expenditure: % of Current Health Expenditure data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. KR: External Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. KR: External Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Share of current health expenditures funded from external sources. External sources compose of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country. External sources either flow through the government scheme or are channeled through non-governmental organizations or other schemes.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea External Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Korea Fertility Rate: Total: Births per Woman
KR: Fertility Rate: Total: Births per Woman data was reported at 1.172 Ratio in 2016. This records a decrease from the previous number of 1.239 Ratio for 2015. KR: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.656 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 6.095 Ratio in 1960 and a record low of 1.076 Ratio in 2005. KR: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.
| Last | Frequency | Range |
|---|---|---|
| 1.17 2016 | yearly | 1960 - 2016 |
View South Korea's Korea Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
Korea Hospital Beds: per 1000 People
KR: Hospital Beds: per 1000 People data was reported at 10.300 Number in 2009. This records a decrease from the previous number of 12.300 Number for 2008. KR: Hospital Beds: per 1000 People data is updated yearly, averaging 4.800 Number from Dec 1980 (Median) to 2009, with 21 observations. The data reached an all-time high of 12.300 Number in 2008 and a record low of 1.700 Number in 1980. KR: Hospital Beds: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.; ; Data are from the World Health Organization, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 10.30 2009 | yearly | 1980 - 2009 |
View South Korea's Korea Hospital Beds: per 1000 People from 1980 to 2009 in the chart:
Korea Immunization: DPT: % of Children Aged 12-23 Months
KR: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 98.000 % in 2016. This stayed constant from the previous number of 98.000 % for 2015. KR: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 90.500 % from Dec 1981 (Median) to 2016, with 36 observations. The data reached an all-time high of 99.000 % in 2014 and a record low of 57.000 % in 1987. KR: Immunization: DPT: % of Children Aged 12-23 Months data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 98.00 2016 | yearly | 1981 - 2016 |
View South Korea's Korea Immunization: DPT: % of Children Aged 12-23 Months from 1981 to 2016 in the chart:
Korea Immunization: HepB3: % of One-Year-Old Children
KR: Immunization: HepB3: % of One-Year-Old Children data was reported at 98.000 % in 2016. This stayed constant from the previous number of 98.000 % for 2015. KR: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 94.000 % from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 99.000 % in 2014 and a record low of 82.000 % in 1998. KR: Immunization: HepB3: % of One-Year-Old Children data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Child immunization rate, hepatitis B is the percentage of children ages 12-23 months who received hepatitis B vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized after three doses.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 98.00 2016 | yearly | 1995 - 2016 |
View South Korea's Korea Immunization: HepB3: % of One-Year-Old Children from 1995 to 2016 in the chart:
Korea Immunization: Measles: % of Children Aged 12-23 Months
KR: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 98.000 % in 2017. This stayed constant from the previous number of 98.000 % for 2016. KR: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 93.000 % from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 99.000 % in 2014 and a record low of 4.000 % in 1980. KR: Immunization: Measles: % of Children Aged 12-23 Months data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 98.00 2016 | yearly | 1980 - 2016 |
View South Korea's Korea Immunization: Measles: % of Children Aged 12-23 Months from 1980 to 2016 in the chart:
Korea Incidence of Malaria: per 1,000 Population at Risk
KR: Incidence of Malaria: per 1,000 Population at Risk data was reported at 0.800 Number in 2015. This stayed constant from the previous number of 0.800 Number for 2010. KR: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 0.850 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 2.800 Number in 2000 and a record low of 0.800 Number in 2015. KR: Incidence of Malaria: per 1,000 Population at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Incidence of malaria is the number of new cases of malaria in a year per 1,000 population at risk.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/ghodata/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.80 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Incidence of Malaria: per 1,000 Population at Risk from 2000 to 2015 in the chart:
Korea Incidence of Tuberculosis: per 100,000 People
KR: Incidence of Tuberculosis: per 100,000 People data was reported at 77.000 Ratio in 2016. This records a decrease from the previous number of 79.000 Ratio for 2015. KR: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 88.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 99.000 Ratio in 2011 and a record low of 49.000 Ratio in 2000. KR: Incidence of Tuberculosis: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.; ; World Health Organization, Global Tuberculosis Report.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 77.00 2016 | yearly | 2000 - 2016 |
View South Korea's Korea Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Korea Intentional Homicides: Female: per 100,000 Female
KR: Intentional Homicides: Female: per 100,000 Female data was reported at 0.763 Ratio in 2016. This records an increase from the previous number of 0.756 Ratio for 2015. KR: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 0.761 Ratio from Dec 2011 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.902 Ratio in 2011 and a record low of 0.719 Ratio in 2013. KR: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 0.76 2016 | yearly | 2011 - 2016 |
View South Korea's Korea Intentional Homicides: Female: per 100,000 Female from 2011 to 2016 in the chart:
Korea Intentional Homicides: Male: per 100,000 Male
KR: Intentional Homicides: Male: per 100,000 Male data was reported at 0.639 Ratio in 2016. This records a decrease from the previous number of 0.687 Ratio for 2015. KR: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 0.687 Ratio from Dec 2011 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.814 Ratio in 2011 and a record low of 0.639 Ratio in 2016. KR: Intentional Homicides: Male: per 100,000 Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 0.64 2016 | yearly | 2011 - 2016 |
View South Korea's Korea Intentional Homicides: Male: per 100,000 Male from 2011 to 2016 in the chart:
Korea Intentional Homicides: per 100,000 People
KR: Intentional Homicides: per 100,000 People data was reported at 0.700 Ratio in 2014. This stayed constant from the previous number of 0.700 Ratio for 2013. KR: Intentional Homicides: per 100,000 People data is updated yearly, averaging 0.750 Ratio from Dec 2011 (Median) to 2014, with 4 observations. The data reached an all-time high of 0.900 Ratio in 2011 and a record low of 0.700 Ratio in 2014. KR: Intentional Homicides: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.70 2014 | yearly | 2011 - 2014 |
View South Korea's Korea Intentional Homicides: per 100,000 People from 2011 to 2014 in the chart:
Korea Life Expectancy at Birth: Female
KR: Life Expectancy at Birth: Female data was reported at 85.200 Year in 2016. This stayed constant from the previous number of 85.200 Year for 2015. KR: Life Expectancy at Birth: Female data is updated yearly, averaging 74.800 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 85.200 Year in 2016 and a record low of 55.509 Year in 1960. KR: Life Expectancy at Birth: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 85.20 2016 | yearly | 1960 - 2016 |
View South Korea's Korea Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
Korea Life Expectancy at Birth: Male
KR: Life Expectancy at Birth: Male data was reported at 79.000 Year in 2016. This stayed constant from the previous number of 79.000 Year for 2015. KR: Life Expectancy at Birth: Male data is updated yearly, averaging 66.500 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 79.000 Year in 2016 and a record low of 50.614 Year in 1960. KR: Life Expectancy at Birth: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 79.00 2016 | yearly | 1960 - 2016 |
View South Korea's Korea Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
Korea Life Expectancy at Birth: Total
KR: Life Expectancy at Birth: Total data was reported at 82.024 Year in 2016. This stayed constant from the previous number of 82.024 Year for 2015. KR: Life Expectancy at Birth: Total data is updated yearly, averaging 70.549 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 82.024 Year in 2016 and a record low of 53.002 Year in 1960. KR: Life Expectancy at Birth: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 82.02 2016 | yearly | 1960 - 2016 |
View South Korea's Korea Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
Korea Lifetime Risk Of Maternal Death
KR: Lifetime Risk Of Maternal Death data was reported at 0.014 % in 2015. This records a decrease from the previous number of 0.014 % for 2014. KR: Lifetime Risk Of Maternal Death data is updated yearly, averaging 0.019 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 0.040 % in 1990 and a record low of 0.014 % in 2015. KR: Lifetime Risk Of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.01 2015 | yearly | 1990 - 2015 |
View South Korea's Korea Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
Korea Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
KR: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 7,200.000 NA in 2015. This records an increase from the previous number of 7,000.000 NA for 2014. KR: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 5,400.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 7,200.000 NA in 2015 and a record low of 2,500.000 NA in 1990. KR: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 7,200.00 2015 | yearly | 1990 - 2015 |
View South Korea's Korea Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
Korea Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
KR: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 11.000 Ratio in 2015. This records a decrease from the previous number of 12.000 Ratio for 2014. KR: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 15.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 21.000 Ratio in 1991 and a record low of 11.000 Ratio in 2015. KR: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.
| Last | Frequency | Range |
|---|---|---|
| 11.00 2015 | yearly | 1990 - 2015 |
View South Korea's Korea Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
Korea Mortality Caused by Road Traffic Injury: per 100,000 People
KR: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 12.000 Number in 2015. This records a decrease from the previous number of 14.000 Number for 2010. KR: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 15.300 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 26.300 Number in 2000 and a record low of 12.000 Number in 2015. KR: Mortality Caused by Road Traffic Injury: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.; ; World Health Organization, Global Status Report on Road Safety.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 12.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
South Korea Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
KR: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 14.000 NA in 2016. KR: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 14.000 NA from Dec 2016 (Median) to 2016, with 1 observations. KR: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 14.000 2016 | yearly | 2016 - 2016 |
View South Korea's South Korea Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
South Korea Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
KR: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 29.000 NA in 2016. KR: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 29.000 NA from Dec 2016 (Median) to 2016, with 1 observations. KR: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 29.000 2016 | yearly | 2016 - 2016 |
View South Korea's South Korea Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Korea Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
KR: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 20.500 Ratio in 2016. KR: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 20.500 Ratio from Dec 2016 (Median) to 2016, with 1 observations. KR: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 20.50 2016 | yearly | 2016 - 2016 |
View South Korea's Korea Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Korea Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
KR: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 0.300 Ratio in 2016. This stayed constant from the previous number of 0.300 Ratio for 2015. KR: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 0.300 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.600 Ratio in 2000 and a record low of 0.300 Ratio in 2016. KR: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.30 2016 | yearly | 2000 - 2016 |
View South Korea's Korea Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Korea Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
KR: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 0.700 Ratio in 2016. This records a decrease from the previous number of 0.800 Ratio for 2015. KR: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 0.900 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 1.300 Ratio in 2000 and a record low of 0.700 Ratio in 2016. KR: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.70 2016 | yearly | 2000 - 2016 |
View South Korea's Korea Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Korea Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
KR: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 0.500 Ratio in 2016. This stayed constant from the previous number of 0.500 Ratio for 2015. KR: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 0.600 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 1.000 Ratio in 2000 and a record low of 0.500 Ratio in 2016. KR: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.50 2016 | yearly | 2000 - 2016 |
View South Korea's Korea Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Korea Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
KR: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 1.800 Ratio in 2016. KR: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 1.800 Ratio from Dec 2016 (Median) to 2016, with 1 observations. KR: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.80 2016 | yearly | 2016 - 2016 |
View South Korea's Korea Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Korea Mortality Rate: Adult: Female: per 1000 Female Adults
KR: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 37.244 Ratio in 2016. This records a decrease from the previous number of 37.943 Ratio for 2015. KR: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 108.227 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 306.375 Ratio in 1960 and a record low of 37.244 Ratio in 2016. KR: Mortality Rate: Adult: Female: per 1000 Female Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 37.24 2016 | yearly | 1960 - 2016 |
View South Korea's Korea Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2016 in the chart:
Korea Mortality Rate: Adult: Male: per 1000 Male Adults
KR: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 86.102 Ratio in 2016. This records a decrease from the previous number of 88.887 Ratio for 2015. KR: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 246.689 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 403.572 Ratio in 1960 and a record low of 86.102 Ratio in 2016. KR: Mortality Rate: Adult: Male: per 1000 Male Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 86.10 2016 | yearly | 1960 - 2016 |
View South Korea's Korea Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2016 in the chart:
Korea Mortality Rate: Infant: Female: per 1000 Live Births
KR: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 2.700 Ratio in 2016. This records a decrease from the previous number of 2.800 Ratio for 2015. KR: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 3.300 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 12.400 Ratio in 1990 and a record low of 2.700 Ratio in 2016. KR: Mortality Rate: Infant: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; 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 across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 2.70 2016 | yearly | 1990 - 2016 |
View South Korea's Korea Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Korea Mortality Rate: Infant: Male: per 1000 Live Births
KR: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 3.000 Ratio in 2017. This records a decrease from the previous number of 3.200 Ratio for 2015. KR: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 3.800 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 14.400 Ratio in 1990 and a record low of 3.000 Ratio in 2017. KR: Mortality Rate: Infant: Male: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; 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 across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 3.10 2016 | yearly | 1990 - 2016 |
View South Korea's Korea Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Korea Mortality Rate: Infant: per 1000 Live Births
KR: Mortality Rate: Infant: per 1000 Live Births data was reported at 2.900 Ratio in 2016. This records a decrease from the previous number of 3.000 Ratio for 2015. KR: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 15.900 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 81.400 Ratio in 1960 and a record low of 2.900 Ratio in 2016. KR: Mortality Rate: Infant: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; 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 across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 2.90 2016 | yearly | 1960 - 2016 |
View South Korea's Korea Mortality Rate: Infant: per 1000 Live Births from 1960 to 2016 in the chart:
Korea Mortality Rate: Neonatal: per 1000 Live Births
KR: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 1.500 Ratio in 2016. This records a decrease from the previous number of 1.600 Ratio for 2015. KR: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 9.000 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 29.400 Ratio in 1960 and a record low of 1.500 Ratio in 2016. KR: Mortality Rate: Neonatal: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; 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 across countries.
| Last | Frequency | Range |
|---|---|---|
| 1.50 2016 | yearly | 1960 - 2016 |
View South Korea's Korea Mortality Rate: Neonatal: per 1000 Live Births from 1960 to 2016 in the chart:
Korea Mortality Rate: Under-5: Female: per 1000 Live Births
KR: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 3.100 Ratio in 2016. This records a decrease from the previous number of 3.200 Ratio for 2015. KR: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 3.800 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 14.400 Ratio in 1990 and a record low of 3.100 Ratio in 2016. KR: Mortality Rate: Under-5: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. 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.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; 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 across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 3.10 2016 | yearly | 1990 - 2016 |
View South Korea's Korea Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Korea Mortality Rate: Under-5: Male: per 1000 Live Births
KR: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 3.600 Ratio in 2016. This records a decrease from the previous number of 3.700 Ratio for 2015. KR: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 4.400 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 16.900 Ratio in 1990 and a record low of 3.600 Ratio in 2016. KR: Mortality Rate: Under-5: Male: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; 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 across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 3.60 2016 | yearly | 1990 - 2016 |
View South Korea's Korea Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Korea Mortality Rate: Under-5: per 1000 Live Births
KR: Mortality Rate: Under-5: per 1000 Live Births data was reported at 3.400 Ratio in 2016. This records a decrease from the previous number of 3.500 Ratio for 2015. KR: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 18.600 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 114.900 Ratio in 1960 and a record low of 3.400 Ratio in 2016. KR: Mortality Rate: Under-5: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; 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 across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 3.40 2016 | yearly | 1960 - 2016 |
View South Korea's Korea Mortality Rate: Under-5: per 1000 Live Births from 1960 to 2016 in the chart:
Korea Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
KR: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 7.800 % in 2016. This records a decrease from the previous number of 8.300 % for 2015. KR: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 10.600 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 16.500 % in 2000 and a record low of 7.800 % in 2016. KR: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 8.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2015 in the chart:
South Korea Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
KR: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 4.700 NA in 2016. This records a decrease from the previous number of 5.100 NA for 2015. KR: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 6.400 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 10.600 NA in 2000 and a record low of 4.700 NA in 2016. KR: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 4.700 2016 | yearly | 2000 - 2016 |
View South Korea's South Korea Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
South Korea Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
KR: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 10.900 NA in 2016. This records a decrease from the previous number of 11.600 NA for 2015. KR: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 14.800 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 22.900 NA in 2000 and a record low of 10.900 NA in 2016. KR: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 10.900 2016 | yearly | 2000 - 2016 |
View South Korea's South Korea Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Korea Number of Death: Infant
KR: Number of Death: Infant data was reported at 1,303.000 Person in 2016. This records a decrease from the previous number of 1,345.000 Person for 2015. KR: Number of Death: Infant data is updated yearly, averaging 10,443.000 Person from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 85,226.000 Person in 1960 and a record low of 1,303.000 Person in 2016. KR: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Number of infants dying before reaching one year of age.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 1,303.00 2016 | yearly | 1960 - 2016 |
View South Korea's Korea Number of Death: Infant from 1960 to 2016 in the chart:
Korea Number of Death: Neonatal
KR: Number of Death: Neonatal data was reported at 675.000 Person in 2016. This records a decrease from the previous number of 718.000 Person for 2015. KR: Number of Death: Neonatal data is updated yearly, averaging 5,894.000 Person from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 31,282.000 Person in 1960 and a record low of 675.000 Person in 2016. KR: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Number of neonates dying before reaching 28 days of age.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 675.00 2016 | yearly | 1960 - 2016 |
View South Korea's Korea Number of Death: Neonatal from 1960 to 2016 in the chart:
Korea Number of Death: Under-5
KR: Number of Death: Under-5 data was reported at 1,527.000 Person in 2016. This records a decrease from the previous number of 1,569.000 Person for 2015. KR: Number of Death: Under-5 data is updated yearly, averaging 12,346.000 Person from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 118,783.000 Person in 1960 and a record low of 1,527.000 Person in 2016. KR: Number of Death: Under-5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Number of children dying before reaching age five.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 1,527.00 2016 | yearly | 1960 - 2016 |
View South Korea's Korea Number of Death: Under-5 from 1960 to 2016 in the chart:
South Korea Number of Deaths Ages 10-14 Years
KR: Number of Deaths Ages 10-14 Years data was reported at 183.000 Person in 2019. This records a decrease from the previous number of 190.000 Person for 2018. KR: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 533.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1,517.000 Person in 1990 and a record low of 183.000 Person in 2019. KR: Number of Deaths Ages 10-14 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 10-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 183.000 2019 | yearly | 1990 - 2019 |
View South Korea's South Korea Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
South Korea Number of Deaths Ages 15-19 Years
KR: Number of Deaths Ages 15-19 Years data was reported at 565.000 Person in 2019. This records a decrease from the previous number of 594.000 Person for 2018. KR: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 1,060.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 3,403.000 Person in 1990 and a record low of 565.000 Person in 2019. KR: Number of Deaths Ages 15-19 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 15-19 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 565.000 2019 | yearly | 1990 - 2019 |
View South Korea's South Korea Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
South Korea Number of Deaths Ages 20-24 Years
KR: Number of Deaths Ages 20-24 Years data was reported at 1,087.000 Person in 2019. This records a decrease from the previous number of 1,097.000 Person for 2018. KR: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 1,803.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 4,419.000 Person in 1990 and a record low of 1,087.000 Person in 2019. KR: Number of Deaths Ages 20-24 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Number of deaths of youths ages 20-24 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 1,087.000 2019 | yearly | 1990 - 2019 |
View South Korea's South Korea Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Korea Number of Deaths Ages 5-14 Years
KR: Number of Deaths Ages 5-14 Years data was reported at 377.000 Person in 2016. This records a decrease from the previous number of 430.000 Person for 2015. KR: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 683.000 Person from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 4,131.000 Person in 1990 and a record low of 377.000 Person in 2016. KR: Number of Deaths Ages 5-14 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Number of deaths of children ages 5-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 377.00 2016 | yearly | 1990 - 2016 |
View South Korea's Korea Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
South Korea Number of Deaths Ages 5-9 Years
KR: Number of Deaths Ages 5-9 Years data was reported at 172.000 Person in 2019. This records a decrease from the previous number of 180.000 Person for 2018. KR: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 575.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1,972.000 Person in 1990 and a record low of 172.000 Person in 2019. KR: Number of Deaths Ages 5-9 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Number of deaths of children ages 5-9 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 172.000 2019 | yearly | 1990 - 2019 |
View South Korea's South Korea Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Korea Number of Maternal Death
KR: Number of Maternal Death data was reported at 50.000 Person in 2015. This records a decrease from the previous number of 53.000 Person for 2014. KR: Number of Maternal Death data is updated yearly, averaging 70.500 Person from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 140.000 Person in 1992 and a record low of 50.000 Person in 2015. KR: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Sum;
| Last | Frequency | Range |
|---|---|---|
| 50.00 2015 | yearly | 1990 - 2015 |
View South Korea's Korea Number of Maternal Death from 1990 to 2015 in the chart:
Korea Nurses and Midwives: per 1000 People
KR: Nurses and Midwives: per 1000 People data was reported at 6.898 Ratio in 2016. This records an increase from the previous number of 6.047 Ratio for 2015. KR: Nurses and Midwives: per 1000 People data is updated yearly, averaging 4.986 Ratio from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 6.898 Ratio in 2016 and a record low of 1.747 Ratio in 2003. KR: Nurses and Midwives: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 6.90 2016 | yearly | 2003 - 2016 |
View South Korea's Korea Nurses and Midwives: per 1000 People from 2003 to 2016 in the chart:
Korea Out-of-Pocket Health Expenditure Per Capita: Current Price
KR: Out-of-Pocket Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2015. This records an increase from the previous number of 0.001 USD mn for 2014. KR: Out-of-Pocket Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 USD mn in 2015 and a record low of 0.000 USD mn in 2001. KR: Out-of-Pocket Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Health expenditure through out-of-pocket payments per capita in USD. Out of pocket payments are spending on health directly out of pocket by households in each country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Out-of-Pocket Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Korea Out-of-Pocket Health Expenditure: % of Current Health Expenditure
KR: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 36.793 % in 2015. This records a decrease from the previous number of 37.090 % for 2014. KR: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 39.061 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 43.638 % in 2000 and a record low of 36.793 % in 2015. KR: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 36.79 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Out-of-Pocket Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Korea Out-of-Pocket Helath Expenditure Per Capita: Current PPP
KR: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data was reported at 0.001 Intl $ mn in 2015. This records an increase from the previous number of 0.001 Intl $ mn for 2014. KR: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.001 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. KR: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Health expenditure through out-of-pocket payments per capita in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea Out-of-Pocket Helath Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Korea People Practicing Open Defecation: % of Population
KR: People Practicing Open Defecation: % of Population data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. KR: People Practicing Open Defecation: % of Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. KR: People Practicing Open Defecation: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View South Korea's Korea People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
Korea People Using At Least Basic Drinking Water Services: % of Population
KR: People Using At Least Basic Drinking Water Services: % of Population data was reported at 99.595 % in 2015. This records an increase from the previous number of 99.476 % for 2014. KR: People Using At Least Basic Drinking Water Services: % of Population data is updated yearly, averaging 98.824 % from Dec 2002 (Median) to 2015, with 14 observations. The data reached an all-time high of 99.595 % in 2015 and a record low of 98.527 % in 2006. KR: People Using At Least Basic Drinking Water Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 99.59 2015 | yearly | 2002 - 2015 |
View South Korea's Korea People Using At Least Basic Drinking Water Services: % of Population from 2002 to 2015 in the chart:
Korea People Using At Least Basic Sanitation Services: % of Population
KR: People Using At Least Basic Sanitation Services: % of Population data was reported at 99.888 % in 2015. This records a decrease from the previous number of 99.924 % for 2014. KR: People Using At Least Basic Sanitation Services: % of Population data is updated yearly, averaging 100.000 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2011 and a record low of 99.888 % in 2015. KR: People Using At Least Basic Sanitation Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 99.89 2015 | yearly | 2000 - 2015 |
View South Korea's Korea People Using At Least Basic Sanitation Services: % of Population from 2000 to 2015 in the chart:
Korea People Using Safely Managed Drinking Water Services: % of Population
KR: People Using Safely Managed Drinking Water Services: % of Population data was reported at 98.024 % in 2015. This records an increase from the previous number of 98.024 % for 2014. KR: People Using Safely Managed Drinking Water Services: % of Population data is updated yearly, averaging 97.359 % from Dec 2002 (Median) to 2015, with 14 observations. The data reached an all-time high of 98.024 % in 2015 and a record low of 96.764 % in 2006. KR: People Using Safely Managed Drinking Water Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 98.02 2015 | yearly | 2002 - 2015 |
View South Korea's Korea People Using Safely Managed Drinking Water Services: % of Population from 2002 to 2015 in the chart:
Korea People Using Safely Managed Sanitation Services: % of Population
KR: People Using Safely Managed Sanitation Services: % of Population data was reported at 98.463 % in 2015. This records an increase from the previous number of 97.724 % for 2014. KR: People Using Safely Managed Sanitation Services: % of Population data is updated yearly, averaging 92.152 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 98.463 % in 2015 and a record low of 85.643 % in 2000. KR: People Using Safely Managed Sanitation Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 98.46 2015 | yearly | 2000 - 2015 |
View South Korea's Korea People Using Safely Managed Sanitation Services: % of Population from 2000 to 2015 in the chart:
Korea Physicians: per 1000 People
KR: Physicians: per 1000 People data was reported at 2.326 Ratio in 2016. This records an increase from the previous number of 2.273 Ratio for 2015. KR: Physicians: per 1000 People data is updated yearly, averaging 1.300 Ratio from Dec 1981 (Median) to 2016, with 36 observations. The data reached an all-time high of 2.326 Ratio in 2016 and a record low of 0.500 Ratio in 1983. KR: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Health Statistics. Physicians include generalist and specialist medical practitioners.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.33 2016 | yearly | 1981 - 2016 |
View South Korea's Korea Physicians: per 1000 People from 1981 to 2016 in the chart:
Korea Prevalence of Anemia among Children: % of Children Under 5
KR: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 12.300 % in 2016. This records an increase from the previous number of 11.600 % for 2015. KR: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 9.900 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 12.800 % in 1990 and a record low of 9.700 % in 2007. KR: Prevalence of Anemia among Children: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Prevalence of anemia, children under age 5, is the percentage of children under age 5 whose hemoglobin level is less than 110 grams per liter at sea level.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average; Anemia is defined as a low blood haemoglobin concentration. Anaemia may result from a number of causes, with the most significant contributor being iron deficiency. Anaemia resulting from iron deficiency adversely affects cognitive and motor development and causes fatigue and low productivity. Children under age 5 and pregnant women have the highest risk for anemia.
| Last | Frequency | Range |
|---|---|---|
| 12.30 2016 | yearly | 1990 - 2016 |
View South Korea's Korea Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Korea Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49
KR: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data was reported at 22.600 % in 2016. This records an increase from the previous number of 21.300 % for 2015. KR: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data is updated yearly, averaging 17.600 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 33.400 % in 1990 and a record low of 15.400 % in 2003. KR: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Prevalence of anemia, non-pregnant women, is the percentage of non-pregnant women whose hemoglobin level is less than 120 grams per liter at sea level.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 22.60 2016 | yearly | 1990 - 2016 |
View South Korea's Korea Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Korea Prevalence of Anemia among Pregnant Women: %
KR: Prevalence of Anemia among Pregnant Women: % data was reported at 25.800 % in 2016. This records an increase from the previous number of 25.400 % for 2015. KR: Prevalence of Anemia among Pregnant Women: % data is updated yearly, averaging 25.300 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 35.700 % in 1990 and a record low of 24.600 % in 2010. KR: Prevalence of Anemia among Pregnant Women: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Prevalence of anemia, pregnant women, is the percentage of pregnant women whose hemoglobin level is less than 110 grams per liter at sea level.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 25.80 2016 | yearly | 1990 - 2016 |
View South Korea's Korea Prevalence of Anemia among Pregnant Women: % from 1990 to 2016 in the chart:
Korea Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49
KR: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 22.700 % in 2016. This records an increase from the previous number of 21.400 % for 2015. KR: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 17.800 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 33.500 % in 1990 and a record low of 15.600 % in 2002. KR: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 22.70 2016 | yearly | 1990 - 2016 |
View South Korea's Korea Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Korea Prevalence of Overweight: Weight for Height: % of Children Under 5
KR: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 7.300 % in 2010. This records an increase from the previous number of 6.200 % for 2003. KR: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 6.750 % from Dec 2003 (Median) to 2010, with 2 observations. The data reached an all-time high of 7.300 % in 2010 and a record low of 6.200 % in 2003. KR: Prevalence of Overweight: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues
| Last | Frequency | Range |
|---|---|---|
| 7.30 2010 | yearly | 2003 - 2010 |
View South Korea's Korea Prevalence of Overweight: Weight for Height: % of Children Under 5 from 2003 to 2010 in the chart:
Korea Prevalence of Overweight: Weight for Height: Female: % of Children Under 5
KR: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data was reported at 5.100 % in 2010. This records an increase from the previous number of 4.200 % for 2003. KR: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 4.650 % from Dec 2003 (Median) to 2010, with 2 observations. The data reached an all-time high of 5.100 % in 2010 and a record low of 4.200 % in 2003. KR: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues
| Last | Frequency | Range |
|---|---|---|
| 5.10 2010 | yearly | 2003 - 2010 |
View South Korea's Korea Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 from 2003 to 2010 in the chart:
Korea Prevalence of Overweight: Weight for Height: Male: % of Children Under 5
KR: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data was reported at 8.200 % in 2010. This records an increase from the previous number of 8.100 % for 2003. KR: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 8.150 % from Dec 2003 (Median) to 2010, with 2 observations. The data reached an all-time high of 8.200 % in 2010 and a record low of 8.100 % in 2003. KR: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Prevalence of overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues
| Last | Frequency | Range |
|---|---|---|
| 8.20 2010 | yearly | 2003 - 2010 |
View South Korea's Korea Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 from 2003 to 2010 in the chart:
Korea Prevalence of Severe Wasting: Weight for Height: % of Children under 5
KR: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data was reported at 0.100 % in 2010. This records a decrease from the previous number of 0.200 % for 2003. KR: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data is updated yearly, averaging 0.150 % from Dec 2003 (Median) to 2010, with 2 observations. The data reached an all-time high of 0.200 % in 2003 and a record low of 0.100 % in 2010. KR: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Prevalence of severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 0.10 2010 | yearly | 2003 - 2010 |
View South Korea's Korea Prevalence of Severe Wasting: Weight for Height: % of Children under 5 from 2003 to 2010 in the chart:
Korea Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5
KR: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data was reported at 0.100 % in 2010. This records a decrease from the previous number of 0.300 % for 2003. KR: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data is updated yearly, averaging 0.200 % from Dec 2003 (Median) to 2010, with 2 observations. The data reached an all-time high of 0.300 % in 2003 and a record low of 0.100 % in 2010. KR: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Prevalence of severe wasting, female, is the proportion of girls under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 0.10 2010 | yearly | 2003 - 2010 |
View South Korea's Korea Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 from 2003 to 2010 in the chart:
Korea Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5
KR: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data was reported at 0.100 % in 2010. This stayed constant from the previous number of 0.100 % for 2003. KR: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data is updated yearly, averaging 0.100 % from Dec 2003 (Median) to 2010, with 2 observations. The data reached an all-time high of 0.100 % in 2010 and a record low of 0.100 % in 2010. KR: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Prevalence of severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 0.10 2010 | yearly | 2003 - 2010 |