North Korea Health Statistics
North Korea KP: ARI Treatment: % of Children Under 5 Taken to a Health Provider
KP: ARI Treatment: % of Children Under 5 Taken to a Health Provider data was reported at 79.800 % in 2009. This records a decrease from the previous number of 93.000 % for 2004. KP: ARI Treatment: % of Children Under 5 Taken to a Health Provider data is updated yearly, averaging 86.400 % from Dec 2004 (Median) to 2009, with 2 observations. The data reached an all-time high of 93.000 % in 2004 and a record low of 79.800 % in 2009. KP: ARI Treatment: % of Children Under 5 Taken to a Health Provider data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: Health Statistics. Children with acute respiratory infection (ARI) who are taken to a health provider refers to the percentage of children under age five with ARI in the last two weeks who were taken to an appropriate health provider, including hospital, health center, dispensary, village health worker, clinic, and private physician.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 79.80 2009 | yearly | 2004 - 2009 |
View North Korea's North Korea KP: ARI Treatment: % of Children Under 5 Taken to a Health Provider from 2004 to 2009 in the chart:
North Korea KP: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
KP: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 0.286 Ratio in 2016. This records a decrease from the previous number of 0.293 Ratio for 2015. KP: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 2.886 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 7.746 Ratio in 1960 and a record low of 0.286 Ratio in 2016. KP: 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 North Korea – Table KP.World Bank: 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 |
|---|---|---|
| 0.29 2016 | yearly | 1960 - 2016 |
View North Korea's North Korea KP: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2016 in the chart:
North Korea KP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
KP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 1.200 NA in 2016. This stayed constant from the previous number of 1.200 NA for 2010. KP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 1.200 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 1.200 NA in 2016 and a record low of 1.200 NA in 2016. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 1.200 2016 | yearly | 2010 - 2016 |
View North Korea's North Korea KP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
North Korea KP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
KP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 6.700 NA in 2016. This records an increase from the previous number of 6.500 NA for 2010. KP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 6.600 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 6.700 NA in 2016 and a record low of 6.500 NA in 2010. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 6.700 2016 | yearly | 2010 - 2016 |
View North Korea's North Korea KP: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
North Korea KP: Births Attended by Skilled Health Staff: % of Total
KP: Births Attended by Skilled Health Staff: % of Total data was reported at 100.000 % in 2009. This records an increase from the previous number of 97.100 % for 2004. KP: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 97.100 % from Dec 2000 (Median) to 2009, with 3 observations. The data reached an all-time high of 100.000 % in 2009 and a record low of 96.700 % in 2000. KP: 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 North Korea – Table KP.World Bank: 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 2009 | yearly | 2000 - 2009 |
View North Korea's North Korea KP: Births Attended by Skilled Health Staff: % of Total from 2000 to 2009 in the chart:
North Korea KP: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
KP: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 9.500 % in 2016. This records a decrease from the previous number of 9.600 % for 2015. KP: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 12.450 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 43.100 % in 2000 and a record low of 9.500 % in 2016. KP: 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 North Korea – Table KP.World Bank: 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 |
|---|---|---|
| 9.50 2016 | yearly | 2000 - 2016 |
View North Korea's North Korea KP: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2016 in the chart:
North Korea KP: Cause of Death: by Injury: % of Total
KP: Cause of Death: by Injury: % of Total data was reported at 7.000 % in 2016. This records a decrease from the previous number of 7.100 % for 2015. KP: Cause of Death: by Injury: % of Total data is updated yearly, averaging 7.050 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 7.400 % in 2010 and a record low of 6.800 % in 2000. KP: 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 North Korea – Table KP.World Bank: 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 |
|---|---|---|
| 7.00 2016 | yearly | 2000 - 2016 |
View North Korea's North Korea KP: Cause of Death: by Injury: % of Total from 2000 to 2016 in the chart:
North Korea KP: Cause of Death: by Non-Communicable Diseases: % of Total
KP: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 83.600 % in 2016. This records an increase from the previous number of 83.300 % for 2015. KP: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 80.300 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 83.600 % in 2016 and a record low of 50.000 % in 2000. KP: 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 North Korea – Table KP.World Bank: 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 |
|---|---|---|
| 83.60 2016 | yearly | 2000 - 2016 |
View North Korea's North Korea KP: Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2016 in the chart:
North Korea KP: Completeness of Infant Death Reporting
KP: Completeness of Infant Death Reporting data was reported at 72.540 % in 2008. KP: Completeness of Infant Death Reporting data is updated yearly, averaging 72.540 % from Dec 2008 (Median) to 2008, with 1 observations. KP: 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 North Korea – Table KP.World Bank: 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 |
|---|---|---|
| 72.54 2008 | yearly | 2008 - 2008 |
View North Korea's North Korea KP: Completeness of Infant Death Reporting from 2008 to 2008 in the chart:
North Korea KP: Completeness of Total Death Reporting
KP: Completeness of Total Death Reporting data was reported at 93.237 % in 2008. KP: Completeness of Total Death Reporting data is updated yearly, averaging 93.237 % from Dec 2008 (Median) to 2008, with 1 observations. KP: 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 North Korea – Table KP.World Bank: 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 |
|---|---|---|
| 93.24 2008 | yearly | 2008 - 2008 |
View North Korea's North Korea KP: Completeness of Total Death Reporting from 2008 to 2008 in the chart:
North Korea KP: Consumption of Iodized Salt: % of Households
KP: Consumption of Iodized Salt: % of Households data was reported at 24.500 % in 2009. This records a decrease from the previous number of 40.200 % for 2004. KP: Consumption of Iodized Salt: % of Households data is updated yearly, averaging 32.350 % from Dec 2004 (Median) to 2009, with 2 observations. The data reached an all-time high of 40.200 % in 2004 and a record low of 24.500 % in 2009. KP: Consumption of Iodized Salt: % of Households data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: Health Statistics. Consumption of iodized salt refers to the percentage of households that use edible salt fortified with iodine.; ; United Nations Children's Fund, State of the World's Children.; Weighted average; Iodine deficiency is the single most important cause of preventable mental retardation, contributes significantly to the risk of stillbirth and miscarriage, and increases the incidence of infant mortality. A diet low in iodine is the main cause of iodine deficiency. It usually occurs among populations living in areas where the soil has been depleted of iodine. If soil is deficient in iodine, then so are the plants grown in it, including the grains and vegetables that people and animals consume. There are almost no countries in the world where iodine deficiency has not been a public health problem. Many newborns in low- and middle-income countries remain unprotected from the lifelong consequences of brain damage associated with iodine deficiency disorders, which affect a child's ability to learn and to earn a living as an adult, and in turn prevents children, communities, and countries from fulfilling their potential (UNICEF, www.childinfo.org). Widely used and inexpensive, iodized salt is the best source of iodine, and a global campaign to iodize edible salt is significantly reducing the risks associated with iodine deficiency.
| Last | Frequency | Range |
|---|---|---|
| 24.50 2009 | yearly | 2004 - 2009 |
View North Korea's North Korea KP: Consumption of Iodized Salt: % of Households from 2004 to 2009 in the chart:
North Korea KP: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
KP: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 78.200 % in 2014. This records an increase from the previous number of 70.600 % for 2010. KP: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 67.300 % from Dec 1991 (Median) to 2014, with 7 observations. The data reached an all-time high of 78.200 % in 2014 and a record low of 61.900 % in 1992. KP: 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 North Korea – Table KP.World Bank: 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 |
|---|---|---|
| 78.20 2014 | yearly | 1991 - 2014 |
View North Korea's North Korea KP: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 from 1991 to 2014 in the chart:
North Korea KP: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49
KP: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data was reported at 76.500 % in 2014. This records an increase from the previous number of 65.300 % for 2010. KP: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data is updated yearly, averaging 57.000 % from Dec 1991 (Median) to 2014, with 6 observations. The data reached an all-time high of 76.500 % in 2014 and a record low of 53.000 % in 1992. KP: 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 North Korea – Table KP.World Bank: 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 |
|---|---|---|
| 76.50 2014 | yearly | 1991 - 2014 |
View North Korea's North Korea KP: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 from 1991 to 2014 in the chart:
North Korea KP: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
KP: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 89.800 % in 2014. This records an increase from the previous number of 76.700 % for 2010. KP: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 83.250 % from Dec 2010 (Median) to 2014, with 2 observations. The data reached an all-time high of 89.800 % in 2014 and a record low of 76.700 % in 2010. KP: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: Health Statistics. Demand for family planning satisfied by modern methods refers to the percentage of married women ages 15-49 years whose need for family planning is satisfied with modern methods.; ; Demographic and Health Surveys (DHS).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 89.80 2014 | yearly | 2010 - 2014 |
View North Korea's North Korea KP: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning from 2010 to 2014 in the chart:
North Korea KP: Depth of the Food Deficit: Kilocalories per Person per Day
KP: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 343.000 kcal in 2016. This records a decrease from the previous number of 344.000 kcal for 2015. KP: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 294.000 kcal from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 344.000 kcal in 2015 and a record low of 173.000 kcal in 1992. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 343.00 2016 | yearly | 1992 - 2016 |
View North Korea's North Korea KP: Depth of the Food Deficit: Kilocalories per Person per Day from 1992 to 2016 in the chart:
North Korea KP: Diabetes Prevalence: % of Population Aged 20-79
KP: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 4.000 % in 2017. KP: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 4.000 % from Dec 2017 (Median) to 2017, with 1 observations. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 4.00 2017 | yearly | 2017 - 2017 |
View North Korea's North Korea KP: Diabetes Prevalence: % of Population Aged 20-79 from 2017 to 2017 in the chart:
North Korea KP: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding
KP: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data was reported at 67.100 % in 2009. KP: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data is updated yearly, averaging 67.100 % from Dec 2009 (Median) to 2009, with 1 observations. KP: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: Health Statistics. Children with diarrhea who received oral rehydration and continued feeding refer to the percentage of children under age five with diarrhea in the two weeks prior to the survey who received either oral rehydration therapy or increased fluids, with continued feeding.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 67.10 2009 | yearly | 2009 - 2009 |
View North Korea's North Korea KP: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding from 2009 to 2009 in the chart:
North Korea KP: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet
KP: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data was reported at 74.000 % in 2009. This records a decrease from the previous number of 81.200 % for 1998. KP: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data is updated yearly, averaging 52.000 % from Dec 1986 (Median) to 2009, with 5 observations. The data reached an all-time high of 81.200 % in 1998 and a record low of 0.000 % in 1987. KP: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: Health Statistics. Percentage of children under age 5 with diarrhea in the two weeks preceding the survey who received oral rehydration salts (ORS packets or pre-packaged ORS fluids).; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 74.00 2009 | yearly | 1986 - 2009 |
View North Korea's North Korea KP: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet from 1986 to 2009 in the chart:
North Korea KP: Exclusive Breastfeeding: % of Children under 6 Months
KP: Exclusive Breastfeeding: % of Children under 6 Months data was reported at 68.900 % in 2012. This records an increase from the previous number of 65.100 % for 2004. KP: Exclusive Breastfeeding: % of Children under 6 Months data is updated yearly, averaging 68.900 % from Dec 2002 (Median) to 2012, with 3 observations. The data reached an all-time high of 70.000 % in 2002 and a record low of 65.100 % in 2004. KP: Exclusive Breastfeeding: % of Children under 6 Months data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank.WDI: Health Statistics. Exclusive breastfeeding refers to the percentage of children less than six months old who are fed breast milk alone (no other liquids) in the past 24 hours.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 68.90 2012 | yearly | 2002 - 2012 |
View North Korea's North Korea KP: Exclusive Breastfeeding: % of Children under 6 Months from 2002 to 2012 in the chart:
North Korea KP: Fertility Rate: Total: Births per Woman
KP: Fertility Rate: Total: Births per Woman data was reported at 1.910 Ratio in 2016. This records a decrease from the previous number of 1.921 Ratio for 2015. KP: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 2.369 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 4.579 Ratio in 1960 and a record low of 1.910 Ratio in 2016. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 1.91 2016 | yearly | 1960 - 2016 |
View North Korea's North Korea KP: Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
North Korea KP: Hospital Beds: per 1000 People
KP: Hospital Beds: per 1000 People data was reported at 13.200 Number in 2012. This stayed constant from the previous number of 13.200 Number for 2002. KP: Hospital Beds: per 1000 People data is updated yearly, averaging 13.200 Number from Dec 2002 (Median) to 2012, with 2 observations. The data reached an all-time high of 13.200 Number in 2012 and a record low of 13.200 Number in 2012. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 13.20 2012 | yearly | 2002 - 2012 |
View North Korea's North Korea KP: Hospital Beds: per 1000 People from 2002 to 2012 in the chart:
North Korea KP: Immunization: DPT: % of Children Aged 12-23 Months
KP: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 96.000 % in 2016. This stayed constant from the previous number of 96.000 % for 2015. KP: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 79.000 % from Dec 1980 (Median) to 2016, with 37 observations. The data reached an all-time high of 98.000 % in 1990 and a record low of 37.000 % in 1997. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 96.00 2016 | yearly | 1980 - 2016 |
View North Korea's North Korea KP: Immunization: DPT: % of Children Aged 12-23 Months from 1980 to 2016 in the chart:
North Korea KP: Immunization: HepB3: % of One-Year-Old Children
KP: Immunization: HepB3: % of One-Year-Old Children data was reported at 96.000 % in 2016. This stayed constant from the previous number of 96.000 % for 2015. KP: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 93.000 % from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 98.000 % in 2004 and a record low of 27.000 % in 2003. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 96.00 2016 | yearly | 2003 - 2016 |
View North Korea's North Korea KP: Immunization: HepB3: % of One-Year-Old Children from 2003 to 2016 in the chart:
North Korea KP: Immunization: Measles: % of Children Aged 12-23 Months
KP: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 99.000 % in 2016. This records an increase from the previous number of 98.000 % for 2015. KP: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 95.000 % from Dec 1980 (Median) to 2016, with 37 observations. The data reached an all-time high of 99.000 % in 2016 and a record low of 29.000 % in 1982. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 99.00 2016 | yearly | 1980 - 2016 |
View North Korea's North Korea KP: Immunization: Measles: % of Children Aged 12-23 Months from 1980 to 2016 in the chart:
North Korea KP: Incidence of Malaria: per 1,000 Population at Risk
KP: Incidence of Malaria: per 1,000 Population at Risk data was reported at 1.000 Number in 2015. This records a decrease from the previous number of 2.100 Number for 2010. KP: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 1.550 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 21.600 Number in 2000 and a record low of 1.000 Number in 2015. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 1.00 2015 | yearly | 2000 - 2015 |
View North Korea's North Korea KP: Incidence of Malaria: per 1,000 Population at Risk from 2000 to 2015 in the chart:
North Korea KP: Incidence of Tuberculosis: per 100,000 People
KP: Incidence of Tuberculosis: per 100,000 People data was reported at 513.000 Ratio in 2016. This stayed constant from the previous number of 513.000 Ratio for 2015. KP: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 513.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 513.000 Ratio in 2016 and a record low of 513.000 Ratio in 2016. KP: 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 North Korea – Table KP.World Bank: 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 |
|---|---|---|
| 513.00 2016 | yearly | 2000 - 2016 |
View North Korea's North Korea KP: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
North Korea KP: Intentional Homicides: per 100,000 People
KP: Intentional Homicides: per 100,000 People data was reported at 4.400 Ratio in 2015. This records a decrease from the previous number of 4.800 Ratio for 2010. KP: Intentional Homicides: per 100,000 People data is updated yearly, averaging 4.800 Ratio from Dec 2005 (Median) to 2015, with 3 observations. The data reached an all-time high of 5.100 Ratio in 2005 and a record low of 4.400 Ratio in 2015. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 4.40 2015 | yearly | 2005 - 2015 |
View North Korea's North Korea KP: Intentional Homicides: per 100,000 People from 2005 to 2015 in the chart:
North Korea KP: Life Expectancy at Birth: Female
KP: Life Expectancy at Birth: Female data was reported at 75.071 Year in 2016. This records an increase from the previous number of 74.819 Year for 2015. KP: Life Expectancy at Birth: Female data is updated yearly, averaging 69.692 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 75.071 Year in 2016 and a record low of 53.863 Year in 1960. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 75.07 2016 | yearly | 1960 - 2016 |
View North Korea's North Korea KP: Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
North Korea KP: Life Expectancy at Birth: Male
KP: Life Expectancy at Birth: Male data was reported at 68.055 Year in 2016. This records an increase from the previous number of 67.829 Year for 2015. KP: Life Expectancy at Birth: Male data is updated yearly, averaging 62.993 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 68.055 Year in 2016 and a record low of 48.424 Year in 1960. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 68.06 2016 | yearly | 1960 - 2016 |
View North Korea's North Korea KP: Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
North Korea KP: Life Expectancy at Birth: Total
KP: Life Expectancy at Birth: Total data was reported at 71.685 Year in 2016. This records an increase from the previous number of 71.457 Year for 2015. KP: Life Expectancy at Birth: Total data is updated yearly, averaging 66.571 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 71.685 Year in 2016 and a record low of 51.297 Year in 1960. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 71.69 2016 | yearly | 1960 - 2016 |
View North Korea's North Korea KP: Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
North Korea KP: Lifetime Risk Of Maternal Death
KP: Lifetime Risk Of Maternal Death data was reported at 0.152 % in 2015. This records a decrease from the previous number of 0.156 % for 2014. KP: Lifetime Risk Of Maternal Death data is updated yearly, averaging 0.191 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 0.307 % in 1999 and a record low of 0.143 % in 1992. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 0.15 2015 | yearly | 1990 - 2015 |
View North Korea's North Korea KP: Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
North Korea KP: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
KP: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 660.000 NA in 2015. This records an increase from the previous number of 640.000 NA for 2014. KP: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 525.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 700.000 NA in 1992 and a record low of 330.000 NA in 1999. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 660.00 2015 | yearly | 1990 - 2015 |
View North Korea's North Korea KP: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
North Korea KP: Low-Birthweight Babies: % of Births
KP: Low-Birthweight Babies: % of Births data was reported at 5.700 % in 2009. This records a decrease from the previous number of 6.700 % for 2002. KP: Low-Birthweight Babies: % of Births data is updated yearly, averaging 6.200 % from Dec 2002 (Median) to 2009, with 2 observations. The data reached an all-time high of 6.700 % in 2002 and a record low of 5.700 % in 2009. KP: Low-Birthweight Babies: % of Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: Health Statistics. Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hours of life, before significant postnatal weight loss has occurred.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.70 2009 | yearly | 2002 - 2009 |
View North Korea's North Korea KP: Low-Birthweight Babies: % of Births from 2002 to 2009 in the chart:
North Korea KP: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
KP: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 82.000 Ratio in 2015. This records a decrease from the previous number of 85.000 Ratio for 2014. KP: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 99.500 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 131.000 Ratio in 1999 and a record low of 56.000 Ratio in 1993. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 82.00 2015 | yearly | 1990 - 2015 |
View North Korea's North Korea KP: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
North Korea KP: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
KP: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 77.000 Ratio in 2008. This records a decrease from the previous number of 105.000 Ratio for 1996. KP: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 91.000 Ratio from Dec 1996 (Median) to 2008, with 2 observations. The data reached an all-time high of 105.000 Ratio in 1996 and a record low of 77.000 Ratio in 2008. KP: Maternal Mortality Ratio: National 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 North Korea – Table KP.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.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; ;
| Last | Frequency | Range |
|---|---|---|
| 77.00 2008 | yearly | 1996 - 2008 |
View North Korea's North Korea KP: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 1996 to 2008 in the chart:
North Korea KP: Mortality Caused by Road Traffic Injury: per 100,000 People
KP: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 20.700 Number in 2015. This records a decrease from the previous number of 20.800 Number for 2010. KP: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 20.750 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 20.800 Number in 2010 and a record low of 20.200 Number in 2005. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 20.70 2015 | yearly | 2000 - 2015 |
View North Korea's North Korea KP: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
North Korea KP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
KP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 158.000 NA in 2016. KP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 158.000 NA from Dec 2016 (Median) to 2016, with 1 observations. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 158.000 2016 | yearly | 2016 - 2016 |
View North Korea's North Korea KP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
North Korea KP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
KP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 288.000 NA in 2016. KP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 288.000 NA from Dec 2016 (Median) to 2016, with 1 observations. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 288.000 2016 | yearly | 2016 - 2016 |
View North Korea's North Korea KP: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
North Korea KP: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
KP: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 207.200 Ratio in 2016. KP: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 207.200 Ratio from Dec 2016 (Median) to 2016, with 1 observations. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 207.20 2016 | yearly | 2016 - 2016 |
View North Korea's North Korea KP: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
North Korea KP: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
KP: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 1.800 Ratio in 2016. This stayed constant from the previous number of 1.800 Ratio for 2015. KP: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 1.800 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.200 Ratio in 2005 and a record low of 1.700 Ratio in 2000. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 1.80 2016 | yearly | 2000 - 2016 |
View North Korea's North Korea KP: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
North Korea KP: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
KP: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 2.000 Ratio in 2016. This records a decrease from the previous number of 2.100 Ratio for 2015. KP: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 2.500 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.700 Ratio in 2005 and a record low of 2.000 Ratio in 2016. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 2.00 2016 | yearly | 2000 - 2016 |
View North Korea's North Korea KP: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
North Korea KP: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
KP: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 1.900 Ratio in 2016. This stayed constant from the previous number of 1.900 Ratio for 2015. KP: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 2.100 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.500 Ratio in 2005 and a record low of 1.900 Ratio in 2016. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 1.90 2016 | yearly | 2000 - 2016 |
View North Korea's North Korea KP: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
North Korea KP: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
KP: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 1.400 Ratio in 2016. KP: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 1.400 Ratio from Dec 2016 (Median) to 2016, with 1 observations. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 1.40 2016 | yearly | 2016 - 2016 |
View North Korea's North Korea KP: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
North Korea KP: Mortality Rate: Adult: Female: per 1000 Female Adults
KP: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 98.831 Ratio in 2016. This records a decrease from the previous number of 100.544 Ratio for 2015. KP: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 137.242 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 355.971 Ratio in 1960 and a record low of 82.745 Ratio in 1992. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 98.83 2016 | yearly | 1960 - 2016 |
View North Korea's North Korea KP: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2016 in the chart:
North Korea KP: Mortality Rate: Adult: Male: per 1000 Male Adults
KP: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 166.455 Ratio in 2016. This records a decrease from the previous number of 168.812 Ratio for 2015. KP: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 221.051 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 452.276 Ratio in 1960 and a record low of 152.916 Ratio in 1992. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 166.46 2016 | yearly | 1960 - 2016 |
View North Korea's North Korea KP: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2016 in the chart:
North Korea KP: Mortality Rate: Infant: Female: per 1000 Live Births
KP: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 12.500 Ratio in 2017. This records a decrease from the previous number of 13.900 Ratio for 2015. KP: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 20.000 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 39.500 Ratio in 2000 and a record low of 12.500 Ratio in 2017. KP: 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 North Korea – Table KP.World Bank.WDI: 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 |
|---|---|---|
| 13.40 2016 | yearly | 1990 - 2016 |
View North Korea's North Korea KP: Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
North Korea KP: Mortality Rate: Infant: Male: per 1000 Live Births
KP: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 15.700 Ratio in 2017. This records a decrease from the previous number of 17.400 Ratio for 2015. KP: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 25.000 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 48.000 Ratio in 2000 and a record low of 15.700 Ratio in 2017. KP: 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 North Korea – Table KP.World Bank: 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 |
|---|---|---|
| 16.70 2016 | yearly | 1990 - 2016 |
View North Korea's North Korea KP: Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
North Korea KP: Mortality Rate: Infant: per 1000 Live Births
KP: Mortality Rate: Infant: per 1000 Live Births data was reported at 15.100 Ratio in 2016. This records a decrease from the previous number of 16.000 Ratio for 2015. KP: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 28.350 Ratio from Dec 1985 (Median) to 2016, with 32 observations. The data reached an all-time high of 55.100 Ratio in 1996 and a record low of 15.100 Ratio in 2016. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 15.10 2016 | yearly | 1985 - 2016 |
View North Korea's North Korea KP: Mortality Rate: Infant: per 1000 Live Births from 1985 to 2016 in the chart:
North Korea KP: Mortality Rate: Neonatal: per 1000 Live Births
KP: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 10.700 Ratio in 2016. This records a decrease from the previous number of 11.200 Ratio for 2015. KP: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 19.600 Ratio from Dec 1989 (Median) to 2016, with 28 observations. The data reached an all-time high of 30.400 Ratio in 1996 and a record low of 10.700 Ratio in 2016. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 10.70 2016 | yearly | 1989 - 2016 |
View North Korea's North Korea KP: Mortality Rate: Neonatal: per 1000 Live Births from 1989 to 2016 in the chart:
North Korea KP: Mortality Rate: Under-5: Female: per 1000 Live Births
KP: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 17.200 Ratio in 2017. This records a decrease from the previous number of 19.000 Ratio for 2015. KP: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 26.900 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 55.800 Ratio in 2000 and a record low of 17.200 Ratio in 2017. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 17.80 2016 | yearly | 1990 - 2016 |
View North Korea's North Korea KP: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
North Korea KP: Mortality Rate: Under-5: Male: per 1000 Live Births
KP: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 21.300 Ratio in 2017. This records a decrease from the previous number of 23.600 Ratio for 2015. KP: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 33.100 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 65.400 Ratio in 2000 and a record low of 21.300 Ratio in 2017. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 22.10 2016 | yearly | 1990 - 2016 |
View North Korea's North Korea KP: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
North Korea KP: Mortality Rate: Under-5: per 1000 Live Births
KP: Mortality Rate: Under-5: per 1000 Live Births data was reported at 20.000 Ratio in 2016. This records a decrease from the previous number of 21.100 Ratio for 2015. KP: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 36.000 Ratio from Dec 1985 (Median) to 2016, with 32 observations. The data reached an all-time high of 75.700 Ratio in 1997 and a record low of 20.000 Ratio in 2016. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 20.00 2016 | yearly | 1985 - 2016 |
View North Korea's North Korea KP: Mortality Rate: Under-5: per 1000 Live Births from 1985 to 2016 in the chart:
North Korea KP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
KP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 25.600 % in 2016. This records a decrease from the previous number of 25.800 % for 2015. KP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 25.800 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 27.300 % in 2010 and a record low of 23.600 % in 2000. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 25.60 2016 | yearly | 2000 - 2016 |
View North Korea's North Korea KP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2016 in the chart:
North Korea KP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
KP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 17.600 NA in 2016. This records a decrease from the previous number of 17.900 NA for 2015. KP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 17.900 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 19.400 NA in 2010 and a record low of 17.100 NA in 2000. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 17.600 2016 | yearly | 2000 - 2016 |
View North Korea's North Korea KP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
North Korea KP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
KP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 34.400 NA in 2016. This records a decrease from the previous number of 34.600 NA for 2015. KP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 34.600 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 36.200 NA in 2010 and a record low of 32.200 NA in 2000. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 34.400 2016 | yearly | 2000 - 2016 |
View North Korea's North Korea KP: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
North Korea KP: Newborns Protected Against Tetanus
KP: Newborns Protected Against Tetanus data was reported at 97.000 % in 2016. This stayed constant from the previous number of 97.000 % for 2015. KP: Newborns Protected Against Tetanus data is updated yearly, averaging 90.000 % from Dec 1980 (Median) to 2016, with 33 observations. The data reached an all-time high of 97.000 % in 2016 and a record low of 20.000 % in 1980. KP: Newborns Protected Against Tetanus data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: Health Statistics. Newborns protected against tetanus are the percentage of births by women of child-bearing age who are immunized against tetanus.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 97.00 2016 | yearly | 1980 - 2016 |
View North Korea's North Korea KP: Newborns Protected Against Tetanus from 1980 to 2016 in the chart:
North Korea KP: Number of Death: Infant
KP: Number of Death: Infant data was reported at 5,046.000 Person in 2017. This records a decrease from the previous number of 5,280.000 Person for 2016. KP: Number of Death: Infant data is updated yearly, averaging 11,433.500 Person from Dec 1986 (Median) to 2017, with 32 observations. The data reached an all-time high of 23,741.000 Person in 1996 and a record low of 5,046.000 Person in 2017. KP: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.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 |
|---|---|---|
| 5,280.00 2016 | yearly | 1986 - 2016 |
View North Korea's North Korea KP: Number of Death: Infant from 1986 to 2016 in the chart:
North Korea KP: Number of Death: Neonatal
KP: Number of Death: Neonatal data was reported at 3,754.000 Person in 2016. This records a decrease from the previous number of 3,922.000 Person for 2015. KP: Number of Death: Neonatal data is updated yearly, averaging 7,566.000 Person from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 13,175.000 Person in 1996 and a record low of 3,754.000 Person in 2016. KP: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.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 |
|---|---|---|
| 3,754.00 2016 | yearly | 1990 - 2016 |
View North Korea's North Korea KP: Number of Death: Neonatal from 1990 to 2016 in the chart:
North Korea KP: Number of Death: Under-5
KP: Number of Death: Under-5 data was reported at 6,651.000 Person in 2017. This records a decrease from the previous number of 6,988.000 Person for 2016. KP: Number of Death: Under-5 data is updated yearly, averaging 14,411.500 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 32,667.000 Person in 1996 and a record low of 6,651.000 Person in 2017. KP: 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 North Korea – Table KP.World Bank.WDI: 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 |
|---|---|---|
| 6,988.00 2016 | yearly | 1990 - 2016 |
View North Korea's North Korea KP: Number of Death: Under-5 from 1990 to 2016 in the chart:
North Korea KP: Number of Deaths Ages 10-14 Years
KP: Number of Deaths Ages 10-14 Years data was reported at 641.000 Person in 2019. This records a decrease from the previous number of 681.000 Person for 2018. KP: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 1,165.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1,904.000 Person in 1997 and a record low of 641.000 Person in 2019. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 641.000 2019 | yearly | 1990 - 2019 |
View North Korea's North Korea KP: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
North Korea KP: Number of Deaths Ages 15-19 Years
KP: Number of Deaths Ages 15-19 Years data was reported at 1,523.000 Person in 2019. This records a decrease from the previous number of 1,579.000 Person for 2018. KP: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 2,206.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 3,080.000 Person in 1991 and a record low of 1,523.000 Person in 2019. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 1,523.000 2019 | yearly | 1990 - 2019 |
View North Korea's North Korea KP: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
North Korea KP: Number of Deaths Ages 20-24 Years
KP: Number of Deaths Ages 20-24 Years data was reported at 2,032.000 Person in 2019. This records a decrease from the previous number of 2,104.000 Person for 2018. KP: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 2,680.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 4,937.000 Person in 1995 and a record low of 2,032.000 Person in 2019. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 2,032.000 2019 | yearly | 1990 - 2019 |
View North Korea's North Korea KP: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
North Korea KP: Number of Deaths Ages 5-14 Years
KP: Number of Deaths Ages 5-14 Years data was reported at 1,375.000 Person in 2016. This records a decrease from the previous number of 1,464.000 Person for 2015. KP: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 2,073.000 Person from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 4,118.000 Person in 2000 and a record low of 1,375.000 Person in 2016. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 1,375.00 2016 | yearly | 1990 - 2016 |
View North Korea's North Korea KP: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
North Korea KP: Number of Deaths Ages 5-9 Years
KP: Number of Deaths Ages 5-9 Years data was reported at 689.000 Person in 2019. This records a decrease from the previous number of 716.000 Person for 2018. KP: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 1,510.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 3,085.000 Person in 1997 and a record low of 689.000 Person in 2019. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 689.000 2019 | yearly | 1990 - 2019 |
View North Korea's North Korea KP: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
North Korea KP: Number of Maternal Death
KP: Number of Maternal Death data was reported at 300.000 Person in 2015. This stayed constant from the previous number of 300.000 Person for 2014. KP: Number of Maternal Death data is updated yearly, averaging 360.000 Person from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 540.000 Person in 1999 and a record low of 240.000 Person in 1992. KP: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.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 |
|---|---|---|
| 300.00 2015 | yearly | 1990 - 2015 |
View North Korea's North Korea KP: Number of Maternal Death from 1990 to 2015 in the chart:
North Korea KP: Nurses and Midwives: per 1000 People
KP: Nurses and Midwives: per 1000 People data was reported at 4.091 Ratio in 2011. This records a decrease from the previous number of 4.156 Ratio for 2008. KP: Nurses and Midwives: per 1000 People data is updated yearly, averaging 4.091 Ratio from Dec 2003 (Median) to 2011, with 3 observations. The data reached an all-time high of 4.156 Ratio in 2008 and a record low of 3.984 Ratio in 2003. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 4.09 2011 | yearly | 2003 - 2011 |
View North Korea's North Korea KP: Nurses and Midwives: per 1000 People from 2003 to 2011 in the chart:
North Korea KP: People Practicing Open Defecation: % of Population
KP: 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. KP: People Practicing Open Defecation: % of Population data is updated yearly, averaging 0.000 % from Dec 2002 (Median) to 2015, with 14 observations. KP: 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 North Korea – Table KP.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 | 2002 - 2015 |
View North Korea's North Korea KP: People Practicing Open Defecation: % of Population from 2002 to 2015 in the chart:
North Korea KP: People Practicing Open Defecation: Rural: % of Rural Population
KP: People Practicing Open Defecation: Rural: % of Rural Population data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. KP: People Practicing Open Defecation: Rural: % of Rural Population data is updated yearly, averaging 0.000 % from Dec 2002 (Median) to 2015, with 14 observations. KP: People Practicing Open Defecation: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.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 | 2002 - 2015 |
View North Korea's North Korea KP: People Practicing Open Defecation: Rural: % of Rural Population from 2002 to 2015 in the chart:
North Korea KP: People Practicing Open Defecation: Urban: % of Urban Population
KP: People Practicing Open Defecation: Urban: % of Urban Population data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. KP: People Practicing Open Defecation: Urban: % of Urban Population data is updated yearly, averaging 0.000 % from Dec 2002 (Median) to 2015, with 14 observations. KP: People Practicing Open Defecation: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.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 | 2002 - 2015 |
View North Korea's North Korea KP: People Practicing Open Defecation: Urban: % of Urban Population from 2002 to 2015 in the chart:
North Korea KP: People Using At Least Basic Drinking Water Services: % of Population
KP: People Using At Least Basic Drinking Water Services: % of Population data was reported at 99.625 % in 2015. This records an increase from the previous number of 99.624 % for 2014. KP: People Using At Least Basic Drinking Water Services: % of Population data is updated yearly, averaging 99.732 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 99.970 % in 2000 and a record low of 99.622 % in 2011. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 99.62 2015 | yearly | 2000 - 2015 |
View North Korea's North Korea KP: People Using At Least Basic Drinking Water Services: % of Population from 2000 to 2015 in the chart:
North Korea KP: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population
KP: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data was reported at 99.346 % in 2015. This stayed constant from the previous number of 99.346 % for 2014. KP: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data is updated yearly, averaging 99.540 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 99.957 % in 2000 and a record low of 99.346 % in 2015. KP: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank.WDI: 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 |
|---|---|---|
| 99.35 2015 | yearly | 2000 - 2015 |
View North Korea's North Korea KP: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
North Korea KP: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population
KP: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data was reported at 99.804 % in 2015. This stayed constant from the previous number of 99.804 % for 2014. KP: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data is updated yearly, averaging 99.860 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 99.979 % in 2000 and a record low of 99.804 % in 2015. KP: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.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 |
|---|---|---|
| 99.80 2015 | yearly | 2000 - 2015 |
View North Korea's North Korea KP: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
North Korea KP: People Using At Least Basic Sanitation Services: % of Population
KP: People Using At Least Basic Sanitation Services: % of Population data was reported at 77.135 % in 2015. This records an increase from the previous number of 77.112 % for 2014. KP: People Using At Least Basic Sanitation Services: % of Population data is updated yearly, averaging 77.021 % from Dec 2002 (Median) to 2015, with 14 observations. The data reached an all-time high of 77.135 % in 2015 and a record low of 76.948 % in 2002. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 77.13 2015 | yearly | 2002 - 2015 |
View North Korea's North Korea KP: People Using At Least Basic Sanitation Services: % of Population from 2002 to 2015 in the chart:
North Korea KP: People Using At Least Basic Sanitation Services: Rural: % of Rural Population
KP: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data was reported at 68.422 % in 2015. This stayed constant from the previous number of 68.422 % for 2014. KP: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data is updated yearly, averaging 68.422 % from Dec 2002 (Median) to 2015, with 14 observations. The data reached an all-time high of 68.422 % in 2015 and a record low of 68.422 % in 2015. KP: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.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 |
|---|---|---|
| 68.42 2015 | yearly | 2002 - 2015 |
View North Korea's North Korea KP: People Using At Least Basic Sanitation Services: Rural: % of Rural Population from 2002 to 2015 in the chart:
North Korea KP: People Using At Least Basic Sanitation Services: Urban: % of Urban Population
KP: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data was reported at 82.734 % in 2015. This stayed constant from the previous number of 82.734 % for 2014. KP: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 82.734 % from Dec 2002 (Median) to 2015, with 14 observations. The data reached an all-time high of 82.734 % in 2015 and a record low of 82.734 % in 2015. KP: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.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 |
|---|---|---|
| 82.73 2015 | yearly | 2002 - 2015 |
View North Korea's North Korea KP: People Using At Least Basic Sanitation Services: Urban: % of Urban Population from 2002 to 2015 in the chart:
North Korea KP: Physicians: per 1000 People
KP: Physicians: per 1000 People data was reported at 3.507 Ratio in 2014. This records an increase from the previous number of 3.451 Ratio for 2012. KP: Physicians: per 1000 People data is updated yearly, averaging 3.075 Ratio from Dec 1982 (Median) to 2014, with 8 observations. The data reached an all-time high of 3.507 Ratio in 2014 and a record low of 2.511 Ratio in 1983. KP: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: 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 |
|---|---|---|
| 3.51 2014 | yearly | 1982 - 2014 |
View North Korea's North Korea KP: Physicians: per 1000 People from 1982 to 2014 in the chart:
North Korea KP: Pregnant Women Receiving Prenatal Care
KP: Pregnant Women Receiving Prenatal Care data was reported at 100.000 % in 2009. This records an increase from the previous number of 97.100 % for 2000. KP: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 98.550 % from Dec 2000 (Median) to 2009, with 2 observations. The data reached an all-time high of 100.000 % in 2009 and a record low of 97.100 % in 2000. KP: Pregnant Women Receiving Prenatal Care data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: Health Statistics. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.
| Last | Frequency | Range |
|---|---|---|
| 100.00 2009 | yearly | 2000 - 2009 |
View North Korea's North Korea KP: Pregnant Women Receiving Prenatal Care from 2000 to 2009 in the chart:
North Korea KP: Prevalence of Anemia among Children: % of Children Under 5
KP: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 31.300 % in 2016. This records an increase from the previous number of 30.500 % for 2015. KP: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 29.700 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 43.400 % in 1990 and a record low of 27.400 % in 2008. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 31.30 2016 | yearly | 1990 - 2016 |
View North Korea's North Korea KP: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
North Korea KP: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49
KP: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data was reported at 32.300 % in 2016. This records an increase from the previous number of 31.500 % for 2015. KP: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data is updated yearly, averaging 32.200 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 39.200 % in 1990 and a record low of 29.400 % in 2010. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 32.30 2016 | yearly | 1990 - 2016 |
View North Korea's North Korea KP: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 from 1990 to 2016 in the chart:
North Korea KP: Prevalence of Anemia among Pregnant Women: %
KP: Prevalence of Anemia among Pregnant Women: % data was reported at 38.100 % in 2016. This records an increase from the previous number of 37.300 % for 2015. KP: Prevalence of Anemia among Pregnant Women: % data is updated yearly, averaging 35.900 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 39.500 % in 1990 and a record low of 33.900 % in 2008. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 38.10 2016 | yearly | 1990 - 2016 |
View North Korea's North Korea KP: Prevalence of Anemia among Pregnant Women: % from 1990 to 2016 in the chart:
North Korea KP: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49
KP: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 32.500 % in 2016. This records an increase from the previous number of 31.700 % for 2015. KP: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 32.300 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 39.200 % in 1990 and a record low of 29.600 % in 2010. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 32.50 2016 | yearly | 1990 - 2016 |
View North Korea's North Korea KP: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 from 1990 to 2016 in the chart:
North Korea KP: Prevalence of Overweight: Weight for Height: % of Children Under 5
KP: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 0.000 % in 2009. This records a decrease from the previous number of 0.900 % for 2002. KP: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 0.450 % from Dec 2002 (Median) to 2009, with 2 observations. The data reached an all-time high of 0.900 % in 2002 and a record low of 0.000 % in 2009. KP: 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 North Korea – Table KP.World Bank.WDI: 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 |
|---|---|---|
| 0.00 2009 | yearly | 2002 - 2009 |
View North Korea's North Korea KP: Prevalence of Overweight: Weight for Height: % of Children Under 5 from 2002 to 2009 in the chart:
North Korea KP: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5
KP: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data was reported at 0.000 % in 2009. This records a decrease from the previous number of 1.100 % for 2002. KP: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 0.550 % from Dec 2002 (Median) to 2009, with 2 observations. The data reached an all-time high of 1.100 % in 2002 and a record low of 0.000 % in 2009. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 0.00 2009 | yearly | 2002 - 2009 |
View North Korea's North Korea KP: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 from 2002 to 2009 in the chart:
North Korea KP: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5
KP: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data was reported at 0.000 % in 2009. This records a decrease from the previous number of 0.700 % for 2002. KP: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 0.350 % from Dec 2002 (Median) to 2009, with 2 observations. The data reached an all-time high of 0.700 % in 2002 and a record low of 0.000 % in 2009. KP: 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 North Korea – Table KP.World Bank.WDI: 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 |
|---|---|---|
| 0.00 2009 | yearly | 2002 - 2009 |
View North Korea's North Korea KP: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 from 2002 to 2009 in the chart:
North Korea KP: Prevalence of Severe Wasting: Weight for Height: % of Children under 5
KP: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data was reported at 0.600 % in 2012. This records an increase from the previous number of 0.500 % for 2009. KP: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data is updated yearly, averaging 0.600 % from Dec 2002 (Median) to 2012, with 3 observations. The data reached an all-time high of 3.500 % in 2002 and a record low of 0.500 % in 2009. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 0.60 2012 | yearly | 2002 - 2012 |
View North Korea's North Korea KP: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 from 2002 to 2012 in the chart:
North Korea KP: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5
KP: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data was reported at 0.600 % in 2012. This stayed constant from the previous number of 0.600 % for 2009. KP: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data is updated yearly, averaging 0.600 % from Dec 2002 (Median) to 2012, with 3 observations. The data reached an all-time high of 3.400 % in 2002 and a record low of 0.600 % in 2012. KP: 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 North Korea – Table KP.World Bank.WDI: 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 |
|---|---|---|
| 0.60 2012 | yearly | 2002 - 2012 |
View North Korea's North Korea KP: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 from 2002 to 2012 in the chart:
North Korea KP: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5
KP: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data was reported at 0.600 % in 2012. This records an increase from the previous number of 0.400 % for 2009. KP: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data is updated yearly, averaging 0.600 % from Dec 2002 (Median) to 2012, with 3 observations. The data reached an all-time high of 3.600 % in 2002 and a record low of 0.400 % in 2009. KP: 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 North Korea – Table KP.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 |
|---|---|---|
| 0.60 2012 | yearly | 2002 - 2012 |
View North Korea's North Korea KP: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 from 2002 to 2012 in the chart:
North Korea KP: Prevalence of Stunting: Height for Age: % of Children Under 5
KP: Prevalence of Stunting: Height for Age: % of Children Under 5 data was reported at 27.900 % in 2012. This records a decrease from the previous number of 32.400 % for 2009. KP: Prevalence of Stunting: Height for Age: % of Children Under 5 data is updated yearly, averaging 43.900 % from Dec 1998 (Median) to 2012, with 6 observations. The data reached an all-time high of 63.900 % in 1998 and a record low of 27.900 % in 2012. KP: Prevalence of Stunting: Height for Age: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on 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; 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 |
|---|---|---|
| 27.90 2012 | yearly | 1998 - 2012 |
View North Korea's North Korea KP: Prevalence of Stunting: Height for Age: % of Children Under 5 from 1998 to 2012 in the chart:
North Korea KP: Prevalence of Stunting: Height for Age: Female: % of Children Under 5
KP: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data was reported at 25.800 % in 2012. This records a decrease from the previous number of 32.400 % for 2009. KP: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data is updated yearly, averaging 32.400 % from Dec 2002 (Median) to 2012, with 3 observations. The data reached an all-time high of 41.900 % in 2002 and a record low of 25.800 % in 2012. KP: Prevalence of Stunting: Height for Age: 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 North Korea – Table KP.World Bank: Health Statistics. Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on 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; 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 |
|---|---|---|
| 25.80 2012 | yearly | 2002 - 2012 |
View North Korea's North Korea KP: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 from 2002 to 2012 in the chart:
North Korea KP: Prevalence of Stunting: Height for Age: Male: % of Children Under 5
KP: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 29.900 % in 2012. This records a decrease from the previous number of 32.400 % for 2009. KP: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 32.400 % from Dec 2002 (Median) to 2012, with 3 observations. The data reached an all-time high of 47.200 % in 2002 and a record low of 29.900 % in 2012. KP: Prevalence of Stunting: Height for Age: 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 North Korea – Table KP.World Bank: Health Statistics. Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on 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; 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 |
|---|---|---|
| 29.90 2012 | yearly | 2002 - 2012 |
View North Korea's North Korea KP: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 from 2002 to 2012 in the chart:
North Korea KP: Prevalence of Undernourishment: % of Population
KP: Prevalence of Undernourishment: % of Population data was reported at 40.800 % in 2015. This records a decrease from the previous number of 41.000 % for 2014. KP: Prevalence of Undernourishment: % of Population data is updated yearly, averaging 40.050 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 41.900 % in 2011 and a record low of 34.100 % in 2004. KP: Prevalence of Undernourishment: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: Health Statistics. Population below minimum level of dietary energy consumption (also referred to as prevalence of undernourishment) shows the percentage of the population whose food intake is insufficient to meet dietary energy requirements continuously. Data showing as 5 may signify a prevalence of undernourishment below 5%.; ; Food and Agriculture Organization (http://www.fao.org/publications/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 40.80 2015 | yearly | 2000 - 2015 |
View North Korea's North Korea KP: Prevalence of Undernourishment: % of Population from 2000 to 2015 in the chart:
North Korea KP: Prevalence of Underweight: Weight for Age: % of Children Under 5
KP: Prevalence of Underweight: Weight for Age: % of Children Under 5 data was reported at 15.200 % in 2012. This records a decrease from the previous number of 18.800 % for 2009. KP: Prevalence of Underweight: Weight for Age: % of Children Under 5 data is updated yearly, averaging 19.700 % from Dec 1998 (Median) to 2012, with 6 observations. The data reached an all-time high of 55.500 % in 1998 and a record low of 15.200 % in 2012. KP: Prevalence of Underweight: Weight for Age: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: Health Statistics. Prevalence of underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 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; 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 |
|---|---|---|
| 15.20 2012 | yearly | 1998 - 2012 |
View North Korea's North Korea KP: Prevalence of Underweight: Weight for Age: % of Children Under 5 from 1998 to 2012 in the chart:
North Korea KP: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5
KP: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data was reported at 15.000 % in 2012. This records a decrease from the previous number of 18.800 % for 2009. KP: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data is updated yearly, averaging 16.200 % from Dec 2002 (Median) to 2012, with 3 observations. The data reached an all-time high of 18.800 % in 2009 and a record low of 15.000 % in 2012. KP: Prevalence of Underweight: Weight for Age: 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 North Korea – Table KP.World Bank: Health Statistics. Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on 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; 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 |
|---|---|---|
| 15.00 2012 | yearly | 2002 - 2012 |
View North Korea's North Korea KP: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 from 2002 to 2012 in the chart:
North Korea KP: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5
KP: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data was reported at 15.500 % in 2012. This records a decrease from the previous number of 18.800 % for 2009. KP: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data is updated yearly, averaging 18.800 % from Dec 2002 (Median) to 2012, with 3 observations. The data reached an all-time high of 19.200 % in 2002 and a record low of 15.500 % in 2012. KP: Prevalence of Underweight: Weight for Age: 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 North Korea – Table KP.World Bank: Health Statistics. Prevalence of underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on 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; 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 |
|---|---|---|
| 15.50 2012 | yearly | 2002 - 2012 |
View North Korea's North Korea KP: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 from 2002 to 2012 in the chart:
North Korea KP: Prevalence of Wasting: Weight for Height: % of Children Under 5
KP: Prevalence of Wasting: Weight for Height: % of Children Under 5 data was reported at 4.000 % in 2012. This records a decrease from the previous number of 5.200 % for 2009. KP: Prevalence of Wasting: Weight for Height: % of Children Under 5 data is updated yearly, averaging 8.600 % from Dec 1998 (Median) to 2012, with 6 observations. The data reached an all-time high of 20.800 % in 1998 and a record low of 4.000 % in 2012. KP: Prevalence of 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 North Korea – Table KP.World Bank: Health Statistics. Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two 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 |
|---|---|---|
| 4.00 2012 | yearly | 1998 - 2012 |