Kenya Health Statistics
Kenya HIV Prevalence Rates
HIV Prevalence Rates data was reported at 3.180 % in 2018. This stayed constant from the previous number of 3.180 % for 2017. HIV Prevalence Rates data is updated yearly, averaging 3.790 % from Dec 1980 to 2018, with 39 observations. The data reached an all-time high of 10.250 % in 1996 and a record low of 0.000 % in 1980. HIV Prevalence Rates data remains active status in CEIC and is reported by Kenya National Bureau of Statistics. The data is categorized under Global Database’s Kenya – Table KE.G003: Health Statistics.
| Last | Frequency | Range |
|---|---|---|
| 3.18 2017 | yearly | 1980 - 2017 |
View Kenya's Kenya HIV Prevalence Rates from 1980 to 2017 in the chart:
Kenya KE: ARI Treatment: % of Children Under 5 Taken to a Health Provider
KE: ARI Treatment: % of Children Under 5 Taken to a Health Provider data was reported at 65.700 % in 2014. This records an increase from the previous number of 55.900 % for 2009. KE: ARI Treatment: % of Children Under 5 Taken to a Health Provider data is updated yearly, averaging 55.900 % from Dec 1993 to 2014, with 5 observations. The data reached an all-time high of 65.700 % in 2014 and a record low of 49.000 % in 2003. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 65.70 2014 | yearly | 1993 - 2014 |
View Kenya's Kenya KE: ARI Treatment: % of Children Under 5 Taken to a Health Provider from 1993 to 2014 in the chart:
Kenya KE: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
KE: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 81.792 Ratio in 2016. This records a decrease from the previous number of 83.094 Ratio for 2015. KE: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 141.259 Ratio from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 183.286 Ratio in 1967 and a record low of 81.792 Ratio in 2016. KE: 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 Kenya – Table KE.World Bank.WDI: Health Statistics. Adolescent fertility rate is the number of births per 1,000 women ages 15-19.; ; United Nations Population Division, World Population Prospects.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 81.79 2016 | yearly | 1960 - 2016 |
View Kenya's Kenya KE: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2016 in the chart:
Kenya KE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
KE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 0.900 NA in 2016. This records a decrease from the previous number of 1.300 NA for 2010. KE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 1.100 NA from Dec 2010 to 2016, with 2 observations. The data reached an all-time high of 1.300 NA in 2010 and a record low of 0.900 NA in 2016. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 0.900 2016 | yearly | 2010 - 2016 |
View Kenya's Kenya KE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Kenya KE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
KE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 5.800 NA in 2016. This records a decrease from the previous number of 8.000 NA for 2010. KE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 6.900 NA from Dec 2010 to 2016, with 2 observations. The data reached an all-time high of 8.000 NA in 2010 and a record low of 5.800 NA in 2016. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 5.800 2016 | yearly | 2010 - 2016 |
View Kenya's Kenya KE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Kenya KE: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV
KE: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data was reported at 76.000 % in 2017. This records a decrease from the previous number of 86.000 % for 2016. KE: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data is updated yearly, averaging 72.000 % from Dec 2010 to 2017, with 8 observations. The data reached an all-time high of 86.000 % in 2016 and a record low of 56.000 % in 2010. KE: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Health Statistics. Percentage of pregnant women with HIV who receive antiretroviral medicine for prevention of mother-to-child transmission (PMTCT).; ; UNAIDS estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 80.00 2016 | yearly | 2010 - 2016 |
View Kenya's Kenya KE: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV from 2010 to 2016 in the chart:
Kenya KE: Antiretroviral Therapy Coverage: % of People Living with HIV
KE: Antiretroviral Therapy Coverage: % of People Living with HIV data was reported at 75.000 % in 2017. This records an increase from the previous number of 69.000 % for 2016. KE: Antiretroviral Therapy Coverage: % of People Living with HIV data is updated yearly, averaging 21.000 % from Dec 2000 to 2017, with 18 observations. The data reached an all-time high of 75.000 % in 2017 and a record low of 0.000 % in 2003. KE: Antiretroviral Therapy Coverage: % of People Living with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Health Statistics. Antiretroviral therapy coverage indicates the percentage of all people living with HIV who are receiving antiretroviral therapy.; ; UNAIDS estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 64.00 2016 | yearly | 2000 - 2016 |
View Kenya's Kenya KE: Antiretroviral Therapy Coverage: % of People Living with HIV from 2000 to 2016 in the chart:
Kenya KE: Births Attended by Skilled Health Staff: % of Total
KE: Births Attended by Skilled Health Staff: % of Total data was reported at 61.800 % in 2014. This records an increase from the previous number of 43.800 % for 2009. KE: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 44.300 % from Dec 1989 to 2014, with 7 observations. The data reached an all-time high of 61.800 % in 2014 and a record low of 41.600 % in 2003. KE: 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 Kenya – Table KE.World Bank.WDI: Health Statistics. Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Assistance by trained professionals during birth reduces the incidence of maternal deaths during childbirth. The share of births attended by skilled health staff is an indicator of a health system’s ability to provide adequate care for pregnant women.
| Last | Frequency | Range |
|---|---|---|
| 61.80 2014 | yearly | 1989 - 2014 |
View Kenya's Kenya KE: Births Attended by Skilled Health Staff: % of Total from 1989 to 2014 in the chart:
Kenya KE: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
KE: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 63.300 % in 2016. This records a decrease from the previous number of 65.200 % for 2015. KE: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 68.350 % from Dec 2000 to 2016, with 4 observations. The data reached an all-time high of 78.100 % in 2000 and a record low of 63.300 % in 2016. KE: 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 Kenya – Table KE.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 55.10 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2015 in the chart:
Kenya KE: Cause of Death: by Injury: % of Total
KE: Cause of Death: by Injury: % of Total data was reported at 9.600 % in 2016. This records an increase from the previous number of 9.400 % for 2015. KE: Cause of Death: by Injury: % of Total data is updated yearly, averaging 8.600 % from Dec 2000 to 2016, with 4 observations. The data reached an all-time high of 9.600 % in 2016 and a record low of 6.000 % in 2000. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 11.40 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Cause of Death: by Injury: % of Total from 2000 to 2015 in the chart:
Kenya KE: Cause of Death: by Non-Communicable Diseases: % of Total
KE: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 27.100 % in 2016. This records an increase from the previous number of 25.400 % for 2015. KE: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 23.050 % from Dec 2000 to 2016, with 4 observations. The data reached an all-time high of 27.100 % in 2016 and a record low of 15.800 % in 2000. KE: 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 Kenya – Table KE.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 33.40 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2015 in the chart:
Kenya KE: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever
KE: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data was reported at 27.100 % in 2015. This records an increase from the previous number of 27.000 % for 2014. KE: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data is updated yearly, averaging 27.050 % from Dec 1998 to 2015, with 6 observations. The data reached an all-time high of 65.000 % in 2000 and a record low of 23.200 % in 2009. KE: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Health Statistics. Malaria treatment refers to the percentage of children under age five who were ill with fever in the last two weeks and received any appropriate (locally defined) anti-malarial drugs.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 27.10 2015 | yearly | 1998 - 2015 |
View Kenya's Kenya KE: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever from 1998 to 2015 in the chart:
Kenya KE: Children: 0-14 Living with HIV
KE: Children: 0-14 Living with HIV data was reported at 110,000.000 Person in 2017. This stayed constant from the previous number of 110,000.000 Person for 2016. KE: Children: 0-14 Living with HIV data is updated yearly, averaging 135,000.000 Person from Dec 1990 to 2017, with 28 observations. The data reached an all-time high of 180,000.000 Person in 2004 and a record low of 41,000.000 Person in 1990. KE: Children: 0-14 Living with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Health Statistics. Children living with HIV refers to the number of children ages 0-14 who are infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 120,000.00 2016 | yearly | 1990 - 2016 |
View Kenya's Kenya KE: Children: 0-14 Living with HIV from 1990 to 2016 in the chart:
Kenya KE: Completeness of Infant Death Reporting
KE: Completeness of Infant Death Reporting data was reported at 42.715 % in 2009. This records an increase from the previous number of 38.277 % for 2006. KE: Completeness of Infant Death Reporting data is updated yearly, averaging 40.496 % from Dec 2006 to 2009, with 2 observations. The data reached an all-time high of 42.715 % in 2009 and a record low of 38.277 % in 2006. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 42.71 2009 | yearly | 2006 - 2009 |
View Kenya's Kenya KE: Completeness of Infant Death Reporting from 2006 to 2009 in the chart:
Kenya KE: Completeness of Total Death Reporting
KE: Completeness of Total Death Reporting data was reported at 42.218 % in 2009. This records an increase from the previous number of 40.273 % for 2006. KE: Completeness of Total Death Reporting data is updated yearly, averaging 41.246 % from Dec 2006 to 2009, with 2 observations. The data reached an all-time high of 42.218 % in 2009 and a record low of 40.273 % in 2006. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 42.22 2009 | yearly | 2006 - 2009 |
View Kenya's Kenya KE: Completeness of Total Death Reporting from 2006 to 2009 in the chart:
Kenya KE: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24
KE: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 data was reported at 15.300 % in 2009. This records an increase from the previous number of 8.500 % for 2003. KE: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 data is updated yearly, averaging 8.500 % from Dec 1998 to 2009, with 3 observations. The data reached an all-time high of 15.300 % in 2009 and a record low of 7.500 % in 1998. KE: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Condom use, female is the percentage of the female population ages 15-24 who used a condom at last intercourse in the last 12 months.; ; Demographic and Health Surveys, and UNAIDS.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 15.30 2009 | yearly | 1998 - 2009 |
View Kenya's Kenya KE: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 from 1998 to 2009 in the chart:
Kenya KE: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24
KE: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data was reported at 56.200 % in 2009. This records an increase from the previous number of 39.400 % for 2003. KE: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data is updated yearly, averaging 39.400 % from Dec 1998 to 2009, with 3 observations. The data reached an all-time high of 56.200 % in 2009 and a record low of 39.100 % in 1998. KE: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Condom use, male is the percentage of the male population ages 15-24 who used a condom at last intercourse in the last 12 months.; ; Demographic and Health Surveys, and UNAIDS.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 56.20 2009 | yearly | 1998 - 2009 |
View Kenya's Kenya KE: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 from 1998 to 2009 in the chart:
Kenya KE: Consumption of Iodized Salt: % of Households
KE: Consumption of Iodized Salt: % of Households data was reported at 93.433 % in 2009. KE: Consumption of Iodized Salt: % of Households data is updated yearly, averaging 93.433 % from Dec 2009 to 2009, with 1 observations. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 93.43 2009 | yearly | 2009 - 2009 |
View Kenya's Kenya KE: Consumption of Iodized Salt: % of Households from 2009 to 2009 in the chart:
Kenya KE: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
KE: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 61.600 % in 2016. This records a decrease from the previous number of 66.300 % for 2015. KE: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 39.150 % from Dec 1978 to 2016, with 10 observations. The data reached an all-time high of 66.300 % in 2015 and a record low of 7.000 % in 1978. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 66.30 2015 | yearly | 1978 - 2015 |
View Kenya's Kenya KE: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 from 1978 to 2015 in the chart:
Kenya KE: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49
KE: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data was reported at 59.900 % in 2016. This records a decrease from the previous number of 62.600 % for 2015. KE: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data is updated yearly, averaging 31.500 % from Dec 1978 to 2016, with 10 observations. The data reached an all-time high of 62.600 % in 2015 and a record low of 4.400 % in 1978. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 62.60 2015 | yearly | 1978 - 2015 |
View Kenya's Kenya KE: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 from 1978 to 2015 in the chart:
Kenya KE: Current Health Expenditure Per Capita: Current PPP
KE: Current Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records a decrease from the previous number of 0.000 Intl $ mn for 2014. KE: Current Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2014 and a record low of 0.000 Intl $ mn in 2000. KE: Current Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Current expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Current Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Kenya KE: Current Health Expenditure Per Capita: Current Price
KE: Current Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. KE: Current Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2000. KE: Current Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Health Statistics. Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Current Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Kenya KE: Current Health Expenditure: % of GDP
KE: Current Health Expenditure: % of GDP data was reported at 5.220 % in 2015. This records a decrease from the previous number of 5.471 % for 2014. KE: Current Health Expenditure: % of GDP data is updated yearly, averaging 5.286 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 6.400 % in 2010 and a record low of 4.649 % in 2006. KE: Current Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Health Statistics. Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.22 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Current Health Expenditure: % of GDP from 2000 to 2015 in the chart:
Kenya KE: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
KE: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 77.600 % in 2016. This records an increase from the previous number of 76.200 % for 2015. KE: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 51.400 % from Dec 1989 to 2016, with 8 observations. The data reached an all-time high of 77.600 % in 2016 and a record low of 27.600 % in 1989. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 76.20 2015 | yearly | 1989 - 2015 |
View Kenya's Kenya KE: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning from 1989 to 2015 in the chart:
Kenya KE: Depth of the Food Deficit: Kilocalories per Person per Day
KE: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 135.000 kcal in 2016. This records a decrease from the previous number of 136.000 kcal for 2015. KE: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 217.000 kcal from Dec 1992 to 2016, with 25 observations. The data reached an all-time high of 254.000 kcal in 1995 and a record low of 135.000 kcal in 2016. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 135.00 2016 | yearly | 1992 - 2016 |
View Kenya's Kenya KE: Depth of the Food Deficit: Kilocalories per Person per Day from 1992 to 2016 in the chart:
Kenya KE: Diabetes Prevalence: % of Population Aged 20-79
KE: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 2.920 % in 2017. KE: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 2.920 % from Dec 2017 to 2017, with 1 observations. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 2.92 2017 | yearly | 2017 - 2017 |
View Kenya's Kenya KE: Diabetes Prevalence: % of Population Aged 20-79 from 2017 to 2017 in the chart:
Kenya KE: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding
KE: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data was reported at 53.400 % in 2014. This records an increase from the previous number of 42.600 % for 2009. KE: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data is updated yearly, averaging 33.000 % from Dec 1989 to 2014, with 5 observations. The data reached an all-time high of 53.400 % in 2014 and a record low of 15.000 % in 2000. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 53.40 2014 | yearly | 1989 - 2014 |
View Kenya's Kenya KE: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding from 1989 to 2014 in the chart:
Kenya KE: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet
KE: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data was reported at 53.800 % in 2014. This records an increase from the previous number of 38.800 % for 2009. KE: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data is updated yearly, averaging 36.900 % from Dec 1986 to 2014, with 9 observations. The data reached an all-time high of 80.000 % in 1989 and a record low of 23.000 % in 1986. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 53.80 2014 | yearly | 1986 - 2014 |
View Kenya's Kenya KE: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet from 1986 to 2014 in the chart:
Kenya KE: Domestic General Government Health Expenditure Per Capita: Current PPP
KE: Domestic General Government Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records a decrease from the previous number of 0.000 Intl $ mn for 2014. KE: Domestic General Government Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2014 and a record low of 0.000 Intl $ mn in 2008. KE: Domestic General Government Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Public expenditure on health from domestic sources per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Domestic General Government Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Kenya KE: Domestic General Government Health Expenditure Per Capita: Current Price
KE: Domestic General Government Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. KE: Domestic General Government Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2000. KE: Domestic General Government Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Public expenditure on health from domestic sources per capita expressed in current US dollars.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Domestic General Government Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Kenya KE: Domestic General Government Health Expenditure: % of Current Health Expenditure
KE: Domestic General Government Health Expenditure: % of Current Health Expenditure data was reported at 33.103 % in 2015. This records an increase from the previous number of 32.944 % for 2014. KE: Domestic General Government Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 32.828 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 41.544 % in 2003 and a record low of 24.559 % in 2008. KE: Domestic General Government Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Share of current health expenditures funded from domestic public sources for health. Domestic public sources include domestic revenue as internal transfers and grants, transfers, subsidies to voluntary health insurance beneficiaries, non-profit institutions serving households (NPISH) or enterprise financing schemes as well as compulsory prepayment and social health insurance contributions. They do not include external resources spent by governments on health.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 33.10 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Domestic General Government Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Kenya KE: Domestic General Government Health Expenditure: % of GDP
KE: Domestic General Government Health Expenditure: % of GDP data was reported at 1.728 % in 2015. This records a decrease from the previous number of 1.802 % for 2014. KE: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 1.793 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 2.200 % in 2002 and a record low of 1.188 % in 2008. KE: Domestic General Government Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Health Statistics. Public expenditure on health from domestic sources as a share of the economy as measured by GDP.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.73 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Domestic General Government Health Expenditure: % of GDP from 2000 to 2015 in the chart:
Kenya KE: Domestic General Government Health Expenditure: % of General Government Expenditure
KE: Domestic General Government Health Expenditure: % of General Government Expenditure data was reported at 6.294 % in 2015. This records a decrease from the previous number of 6.633 % for 2014. KE: Domestic General Government Health Expenditure: % of General Government Expenditure data is updated yearly, averaging 7.365 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 9.354 % in 2000 and a record low of 5.203 % in 2008. KE: Domestic General Government Health Expenditure: % of General Government Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of total public expenditure. It indicates the priority of the government to spend on health from own domestic public resources.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 6.29 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Domestic General Government Health Expenditure: % of General Government Expenditure from 2000 to 2015 in the chart:
Kenya KE: Domestic Private Health Expenditure Per Capita: Current PPP
KE: Domestic Private Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. KE: Domestic Private Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2003. KE: Domestic Private Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Current private expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Domestic Private Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Kenya KE: Domestic Private Health Expenditure Per Capita: Current Price
KE: Domestic Private Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. KE: Domestic Private Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2003. KE: Domestic Private Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Current private expenditures on health per capita expressed in current US dollars. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Domestic Private Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Kenya KE: Domestic Private Health Expenditure: % of Current Health Expenditure
KE: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 48.213 % in 2015. This records an increase from the previous number of 46.482 % for 2014. KE: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 49.955 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 58.133 % in 2000 and a record low of 40.362 % in 2010. KE: Domestic Private Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Share of current health expenditures funded from domestic private sources. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 48.21 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Domestic Private Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Kenya KE: Exclusive Breastfeeding: % of Children under 6 Months
KE: Exclusive Breastfeeding: % of Children under 6 Months data was reported at 61.400 % in 2014. This records an increase from the previous number of 31.878 % for 2009. KE: Exclusive Breastfeeding: % of Children under 6 Months data is updated yearly, averaging 17.000 % from Dec 1989 to 2014, with 7 observations. The data reached an all-time high of 61.400 % in 2014 and a record low of 12.600 % in 1998. KE: 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 Kenya – Table KE.World Bank: 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 |
|---|---|---|
| 61.40 2014 | yearly | 1989 - 2014 |
View Kenya's Kenya KE: Exclusive Breastfeeding: % of Children under 6 Months from 1989 to 2014 in the chart:
Kenya KE: External Health Expenditure Per Capita: Current PPP
KE: External Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records a decrease from the previous number of 0.000 Intl $ mn for 2014. KE: External Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2010 and a record low of 0.000 Intl $ mn in 2002. KE: External Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Health Statistics. Current external expenditures on health per capita expressed in international dollars at purchasing power parity (PPP). External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: External Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Kenya KE: External Health Expenditure Per Capita: Current Price
KE: External Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. KE: External Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2010 and a record low of 0.000 USD mn in 2002. KE: External Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Current external expenditures on health per capita expressed in current US dollars. External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: External Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Kenya KE: External Health Expenditure: % of Current Health Expenditure
KE: External Health Expenditure: % of Current Health Expenditure data was reported at 18.683 % in 2015. This records a decrease from the previous number of 20.574 % for 2014. KE: External Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 18.455 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 31.286 % in 2010 and a record low of 4.466 % in 2002. KE: External Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Share of current health expenditures funded from external sources. External sources compose of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country. External sources either flow through the government scheme or are channeled through non-governmental organizations or other schemes.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 18.68 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: External Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Kenya KE: Female Adults with HIV: % of Population Aged 15+ with HIV
KE: Female Adults with HIV: % of Population Aged 15+ with HIV data was reported at 62.316 % in 2016. This records an increase from the previous number of 62.101 % for 2015. KE: Female Adults with HIV: % of Population Aged 15+ with HIV data is updated yearly, averaging 61.430 % from Dec 1990 to 2016, with 27 observations. The data reached an all-time high of 62.316 % in 2016 and a record low of 59.107 % in 1990. KE: Female Adults with HIV: % of Population Aged 15+ with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Prevalence of HIV is the percentage of people who are infected with HIV. Female rate is as a percentage of the total population ages 15+ who are living with HIV.; ; UNAIDS estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 62.32 2016 | yearly | 1990 - 2016 |
View Kenya's Kenya KE: Female Adults with HIV: % of Population Aged 15+ with HIV from 1990 to 2016 in the chart:
Kenya KE: Female Genital Mutilation Prevalence
KE: Female Genital Mutilation Prevalence data was reported at 21.000 % in 2014. This records a decrease from the previous number of 27.100 % for 2009. KE: Female Genital Mutilation Prevalence data is updated yearly, averaging 29.650 % from Dec 1998 to 2014, with 4 observations. The data reached an all-time high of 37.600 % in 1998 and a record low of 21.000 % in 2014. KE: Female Genital Mutilation Prevalence data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Health Statistics. Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons.; ; UNICEF Childinfo (childinfo.org).; ;
| Last | Frequency | Range |
|---|---|---|
| 21.00 2014 | yearly | 1998 - 2014 |
View Kenya's Kenya KE: Female Genital Mutilation Prevalence from 1998 to 2014 in the chart:
Kenya KE: Fertility Rate: Total: Births per Woman
KE: Fertility Rate: Total: Births per Woman data was reported at 3.852 Ratio in 2016. This records a decrease from the previous number of 3.917 Ratio for 2015. KE: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 6.425 Ratio from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 8.126 Ratio in 1966 and a record low of 3.852 Ratio in 2016. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 3.85 2016 | yearly | 1960 - 2016 |
View Kenya's Kenya KE: Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
Kenya KE: Hospital Beds: per 1000 People
KE: Hospital Beds: per 1000 People data was reported at 1.400 Number in 2010. This stayed constant from the previous number of 1.400 Number for 2006. KE: Hospital Beds: per 1000 People data is updated yearly, averaging 1.400 Number from Dec 1960 to 2010, with 10 observations. The data reached an all-time high of 1.900 Number in 2002 and a record low of 1.250 Number in 1975. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 1.40 2010 | yearly | 1960 - 2010 |
View Kenya's Kenya KE: Hospital Beds: per 1000 People from 1960 to 2010 in the chart:
Kenya KE: Immunization: DPT: % of Children Aged 12-23 Months
KE: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 82.000 % in 2017. This records a decrease from the previous number of 89.000 % for 2016. KE: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 86.500 % from Dec 1990 to 2017, with 28 observations. The data reached an all-time high of 96.000 % in 2011 and a record low of 73.000 % in 2004. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 89.00 2016 | yearly | 1984 - 2016 |
View Kenya's Kenya KE: Immunization: DPT: % of Children Aged 12-23 Months from 1984 to 2016 in the chart:
Kenya KE: Immunization: HepB3: % of One-Year-Old Children
KE: Immunization: HepB3: % of One-Year-Old Children data was reported at 82.000 % in 2017. This records a decrease from the previous number of 89.000 % for 2016. KE: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 88.000 % from Dec 2002 to 2017, with 16 observations. The data reached an all-time high of 96.000 % in 2011 and a record low of 73.000 % in 2004. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 89.00 2016 | yearly | 2002 - 2016 |
View Kenya's Kenya KE: Immunization: HepB3: % of One-Year-Old Children from 2002 to 2016 in the chart:
Kenya KE: Immunization: Measles: % of Children Aged 12-23 Months
KE: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 75.000 % in 2016. This stayed constant from the previous number of 75.000 % for 2015. KE: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 78.000 % from Dec 1984 to 2016, with 33 observations. The data reached an all-time high of 93.000 % in 2012 and a record low of 55.000 % in 1984. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 75.00 2016 | yearly | 1984 - 2016 |
View Kenya's Kenya KE: Immunization: Measles: % of Children Aged 12-23 Months from 1984 to 2016 in the chart:
Kenya KE: Incidence of HIV: % of Uninfected Population Aged 15-49
KE: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.250 % in 2016. This records a decrease from the previous number of 0.270 % for 2015. KE: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.420 % from Dec 1990 to 2016, with 27 observations. The data reached an all-time high of 1.860 % in 1992 and a record low of 0.250 % in 2016. KE: Incidence of HIV: % of Uninfected Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Number of new HIV infections among uninfected populations ages 15-49 expressed per 100 uninfected population in the year before the period.; ; UNAIDS estimates.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.25 2016 | yearly | 1990 - 2016 |
View Kenya's Kenya KE: Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2016 in the chart:
Kenya KE: Incidence of Malaria: per 1,000 Population at Risk
KE: Incidence of Malaria: per 1,000 Population at Risk data was reported at 166.000 Number in 2015. This records an increase from the previous number of 95.200 Number for 2010. KE: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 168.900 Number from Dec 2000 to 2015, with 4 observations. The data reached an all-time high of 273.700 Number in 2000 and a record low of 95.200 Number in 2010. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 166.00 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Incidence of Malaria: per 1,000 Population at Risk from 2000 to 2015 in the chart:
Kenya KE: Incidence of Tuberculosis: per 100,000 People
KE: Incidence of Tuberculosis: per 100,000 People data was reported at 348.000 Ratio in 2016. This records a decrease from the previous number of 380.000 Ratio for 2015. KE: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 531.000 Ratio from Dec 2000 to 2016, with 17 observations. The data reached an all-time high of 646.000 Ratio in 2006 and a record low of 348.000 Ratio in 2016. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 348.00 2016 | yearly | 2000 - 2016 |
View Kenya's Kenya KE: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Kenya KE: Intentional Homicides: Female: per 100,000 Female
KE: Intentional Homicides: Female: per 100,000 Female data was reported at 2.619 Ratio in 2016. This records an increase from the previous number of 2.572 Ratio for 2015. KE: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 2.572 Ratio from Dec 2014 to 2016, with 3 observations. The data reached an all-time high of 2.619 Ratio in 2016 and a record low of 2.257 Ratio in 2014. KE: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 2.62 2016 | yearly | 2014 - 2016 |
View Kenya's Kenya KE: Intentional Homicides: Female: per 100,000 Female from 2014 to 2016 in the chart:
Kenya KE: Intentional Homicides: Male: per 100,000 Male
KE: Intentional Homicides: Male: per 100,000 Male data was reported at 7.155 Ratio in 2016. This records an increase from the previous number of 7.027 Ratio for 2015. KE: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 7.155 Ratio from Dec 2014 to 2016, with 3 observations. The data reached an all-time high of 7.793 Ratio in 2014 and a record low of 7.027 Ratio in 2015. KE: Intentional Homicides: Male: per 100,000 Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 7.15 2016 | yearly | 2014 - 2016 |
View Kenya's Kenya KE: Intentional Homicides: Male: per 100,000 Male from 2014 to 2016 in the chart:
Kenya KE: Intentional Homicides: per 100,000 People
KE: Intentional Homicides: per 100,000 People data was reported at 4.873 Ratio in 2016. This records an increase from the previous number of 4.787 Ratio for 2015. KE: Intentional Homicides: per 100,000 People data is updated yearly, averaging 4.741 Ratio from Jun 2004 to 2016, with 13 observations. The data reached an all-time high of 5.465 Ratio in 2013 and a record low of 2.893 Ratio in 2007. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 5.80 2015 | yearly | 2004 - 2015 |
View Kenya's Kenya KE: Intentional Homicides: per 100,000 People from 2004 to 2015 in the chart:
Kenya KE: Life Expectancy at Birth: Female
KE: Life Expectancy at Birth: Female data was reported at 69.440 Year in 2016. This records an increase from the previous number of 69.117 Year for 2015. KE: Life Expectancy at Birth: Female data is updated yearly, averaging 57.664 Year from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 69.440 Year in 2016 and a record low of 48.340 Year in 1960. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 69.44 2016 | yearly | 1960 - 2016 |
View Kenya's Kenya KE: Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
Kenya KE: Life Expectancy at Birth: Male
KE: Life Expectancy at Birth: Male data was reported at 64.638 Year in 2016. This records an increase from the previous number of 64.292 Year for 2015. KE: Life Expectancy at Birth: Male data is updated yearly, averaging 53.626 Year from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 64.638 Year in 2016 and a record low of 44.479 Year in 1960. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 64.64 2016 | yearly | 1960 - 2016 |
View Kenya's Kenya KE: Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
Kenya KE: Life Expectancy at Birth: Total
KE: Life Expectancy at Birth: Total data was reported at 67.032 Year in 2016. This records an increase from the previous number of 66.695 Year for 2015. KE: Life Expectancy at Birth: Total data is updated yearly, averaging 55.592 Year from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 67.032 Year in 2016 and a record low of 46.348 Year in 1960. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 67.03 2016 | yearly | 1960 - 2016 |
View Kenya's Kenya KE: Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
Kenya KE: Lifetime Risk Of Maternal Death
KE: Lifetime Risk Of Maternal Death data was reported at 2.353 % in 2015. This records a decrease from the previous number of 2.460 % for 2014. KE: Lifetime Risk Of Maternal Death data is updated yearly, averaging 3.587 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 4.386 % in 1990 and a record low of 2.353 % in 2015. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 2.35 2015 | yearly | 1990 - 2015 |
View Kenya's Kenya KE: Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
Kenya KE: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
KE: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 42.000 NA in 2015. This records an increase from the previous number of 41.000 NA for 2014. KE: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 28.000 NA from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 42.000 NA in 2015 and a record low of 23.000 NA in 1990. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 42.00 2015 | yearly | 1990 - 2015 |
View Kenya's Kenya KE: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
Kenya KE: Low-Birthweight Babies: % of Births
KE: Low-Birthweight Babies: % of Births data was reported at 8.000 % in 2009. This records a decrease from the previous number of 10.200 % for 2003. KE: Low-Birthweight Babies: % of Births data is updated yearly, averaging 10.800 % from Dec 1993 to 2009, with 5 observations. The data reached an all-time high of 11.800 % in 2000 and a record low of 8.000 % in 2009. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 8.00 2009 | yearly | 1993 - 2009 |
View Kenya's Kenya KE: Low-Birthweight Babies: % of Births from 1993 to 2009 in the chart:
Kenya KE: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
KE: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 510.000 Ratio in 2015. This records a decrease from the previous number of 525.000 Ratio for 2014. KE: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 685.500 Ratio from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 768.000 Ratio in 2003 and a record low of 510.000 Ratio in 2015. KE: 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 Kenya – Table KE.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 measured using purchasing power parities (PPPs).; ; 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 |
|---|---|---|
| 510.00 2015 | yearly | 1990 - 2015 |
View Kenya's Kenya KE: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
Kenya KE: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
KE: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 362.000 Ratio in 2014. This records a decrease from the previous number of 520.000 Ratio for 2009. KE: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 506.000 Ratio from Dec 1998 to 2014, with 5 observations. The data reached an all-time high of 743.000 Ratio in 1998 and a record low of 362.000 Ratio in 2014. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 362.00 2014 | yearly | 1998 - 2014 |
View Kenya's Kenya KE: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 1998 to 2014 in the chart:
Kenya KE: Mortality Caused by Road Traffic Injury: per 100,000 People
KE: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 30.500 Number in 2015. This records an increase from the previous number of 29.000 Number for 2010. KE: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 29.000 Number from Dec 2000 to 2015, with 4 observations. The data reached an all-time high of 30.500 Number in 2015 and a record low of 28.900 Number in 2005. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 30.50 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
Kenya KE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
KE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 75.000 NA in 2016. KE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 75.000 NA from Dec 2016 to 2016, with 1 observations. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 75.000 2016 | yearly | 2016 - 2016 |
View Kenya's Kenya KE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Kenya KE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
KE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 81.000 NA in 2016. KE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 81.000 NA from Dec 2016 to 2016, with 1 observations. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 81.000 2016 | yearly | 2016 - 2016 |
View Kenya's Kenya KE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Kenya KE: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
KE: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 78.100 Ratio in 2016. KE: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 78.100 Ratio from Dec 2016 to 2016, with 1 observations. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 78.10 2016 | yearly | 2016 - 2016 |
View Kenya's Kenya KE: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Kenya KE: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
KE: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 1.100 Ratio in 2016. This stayed constant from the previous number of 1.100 Ratio for 2015. KE: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 1.400 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 2.400 Ratio in 2000 and a record low of 1.100 Ratio in 2016. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 1.10 2016 | yearly | 2000 - 2016 |
View Kenya's Kenya KE: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Kenya KE: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
KE: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 2.500 Ratio in 2016. This stayed constant from the previous number of 2.500 Ratio for 2015. KE: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 3.100 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 5.300 Ratio in 2000 and a record low of 2.500 Ratio in 2016. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 2.50 2016 | yearly | 2000 - 2016 |
View Kenya's Kenya KE: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Kenya KE: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
KE: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 1.800 Ratio in 2016. This stayed constant from the previous number of 1.800 Ratio for 2015. KE: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 2.200 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 3.800 Ratio in 2000 and a record low of 1.800 Ratio in 2016. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 1.80 2016 | yearly | 2000 - 2016 |
View Kenya's Kenya KE: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Kenya KE: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
KE: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 51.200 Ratio in 2016. KE: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 51.200 Ratio from Dec 2016 to 2016, with 1 observations. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 51.20 2016 | yearly | 2016 - 2016 |
View Kenya's Kenya KE: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Kenya KE: Mortality Rate: Adult: Female: per 1000 Female Adults
KE: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 178.751 Ratio in 2016. This records a decrease from the previous number of 183.125 Ratio for 2015. KE: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 293.744 Ratio from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 452.880 Ratio in 2002 and a record low of 178.751 Ratio in 2016. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 178.75 2016 | yearly | 1960 - 2016 |
View Kenya's Kenya KE: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2016 in the chart:
Kenya KE: Mortality Rate: Adult: Male: per 1000 Male Adults
KE: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 258.157 Ratio in 2016. This records a decrease from the previous number of 264.091 Ratio for 2015. KE: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 358.446 Ratio from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 523.461 Ratio in 2002 and a record low of 258.157 Ratio in 2016. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 258.16 2016 | yearly | 1960 - 2016 |
View Kenya's Kenya KE: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2016 in the chart:
Kenya KE: Mortality Rate: Infant: Female: per 1000 Live Births
KE: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 30.100 Ratio in 2017. This records a decrease from the previous number of 31.500 Ratio for 2015. KE: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 36.000 Ratio from Dec 1990 to 2017, with 5 observations. The data reached an all-time high of 60.500 Ratio in 1990 and a record low of 30.100 Ratio in 2017. KE: 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 Kenya – Table KE.World Bank: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 32.00 2016 | yearly | 1990 - 2016 |
View Kenya's Kenya KE: Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Kenya KE: Mortality Rate: Infant: Male: per 1000 Live Births
KE: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 36.900 Ratio in 2017. This records a decrease from the previous number of 38.500 Ratio for 2015. KE: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 43.700 Ratio from Dec 1990 to 2017, with 5 observations. The data reached an all-time high of 71.000 Ratio in 1990 and a record low of 36.900 Ratio in 2017. KE: 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 Kenya – Table KE.World Bank.WDI: Health Statistics. Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 39.10 2016 | yearly | 1990 - 2016 |
View Kenya's Kenya KE: Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Kenya KE: Mortality Rate: Infant: per 1000 Live Births
KE: Mortality Rate: Infant: per 1000 Live Births data was reported at 33.600 Ratio in 2017. This records a decrease from the previous number of 34.300 Ratio for 2016. KE: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 67.500 Ratio from Dec 1960 to 2017, with 58 observations. The data reached an all-time high of 117.400 Ratio in 1960 and a record low of 33.600 Ratio in 2017. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 35.60 2016 | yearly | 1960 - 2016 |
View Kenya's Kenya KE: Mortality Rate: Infant: per 1000 Live Births from 1960 to 2016 in the chart:
Kenya KE: Mortality Rate: Neonatal: per 1000 Live Births
KE: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 20.900 Ratio in 2017. This records a decrease from the previous number of 21.300 Ratio for 2016. KE: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 30.800 Ratio from Dec 1960 to 2017, with 58 observations. The data reached an all-time high of 45.500 Ratio in 1960 and a record low of 20.900 Ratio in 2017. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 22.60 2016 | yearly | 1960 - 2016 |
View Kenya's Kenya KE: Mortality Rate: Neonatal: per 1000 Live Births from 1960 to 2016 in the chart:
Kenya KE: Mortality Rate: Under-5: Female: per 1000 Live Births
KE: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 41.500 Ratio in 2017. This records a decrease from the previous number of 44.500 Ratio for 2015. KE: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 53.900 Ratio from Dec 1990 to 2017, with 5 observations. The data reached an all-time high of 98.400 Ratio in 2000 and a record low of 41.500 Ratio in 2017. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 44.90 2016 | yearly | 1990 - 2016 |
View Kenya's Kenya KE: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Kenya KE: Mortality Rate: Under-5: Male: per 1000 Live Births
KE: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 53.200 Ratio in 2016. This records a decrease from the previous number of 55.100 Ratio for 2015. KE: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 66.600 Ratio from Dec 1990 to 2016, with 5 observations. The data reached an all-time high of 106.400 Ratio in 2000 and a record low of 53.200 Ratio in 2016. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 53.20 2016 | yearly | 1990 - 2016 |
View Kenya's Kenya KE: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Kenya KE: Mortality Rate: Under-5: per 1000 Live Births
KE: Mortality Rate: Under-5: per 1000 Live Births data was reported at 45.600 Ratio in 2017. This records a decrease from the previous number of 47.100 Ratio for 2016. KE: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 107.350 Ratio from Dec 1960 to 2017, with 58 observations. The data reached an all-time high of 196.900 Ratio in 1960 and a record low of 45.600 Ratio in 2017. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 49.20 2016 | yearly | 1960 - 2016 |
View Kenya's Kenya KE: Mortality Rate: Under-5: per 1000 Live Births from 1960 to 2016 in the chart:
Kenya KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 13.400 % in 2016. This records an increase from the previous number of 13.300 % for 2015. KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 13.400 % from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 17.300 % in 2000 and a record low of 13.300 % in 2015. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 18.00 2015 | yearly | 2000 - 2015 |
View Kenya's Kenya KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2015 in the chart:
Kenya KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 13.000 NA in 2016. This records an increase from the previous number of 12.900 NA for 2015. KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 13.000 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 17.400 NA in 2000 and a record low of 12.900 NA in 2015. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 13.000 2016 | yearly | 2000 - 2016 |
View Kenya's Kenya KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Kenya KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 13.900 NA in 2016. This records an increase from the previous number of 13.800 NA for 2015. KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 13.900 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 17.300 NA in 2000 and a record low of 13.800 NA in 2015. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 13.900 2016 | yearly | 2000 - 2016 |
View Kenya's Kenya KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Kenya KE: Newborns Protected Against Tetanus
KE: Newborns Protected Against Tetanus data was reported at 88.000 % in 2017. This records an increase from the previous number of 80.000 % for 2016. KE: Newborns Protected Against Tetanus data is updated yearly, averaging 72.000 % from Dec 1985 to 2017, with 33 observations. The data reached an all-time high of 88.000 % in 2017 and a record low of 36.000 % in 1985. KE: Newborns Protected Against Tetanus data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.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 |
|---|---|---|
| 85.00 2016 | yearly | 1985 - 2016 |
View Kenya's Kenya KE: Newborns Protected Against Tetanus from 1985 to 2016 in the chart:
Kenya KE: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14)
KE: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 62,000.000 Number in 2016. This records a decrease from the previous number of 66,000.000 Number for 2015. KE: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 95,000.000 Number from Dec 1990 to 2016, with 27 observations. The data reached an all-time high of 230,000.000 Number in 1994 and a record low of 62,000.000 Number in 2016. KE: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 62,000.00 2016 | yearly | 1990 - 2016 |
View Kenya's Kenya KE: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) from 1990 to 2016 in the chart:
Kenya KE: Newly Infected with HIV: Adults: Aged 15+
KE: Newly Infected with HIV: Adults: Aged 15+ data was reported at 45,000.000 Number in 2017. This records a decrease from the previous number of 48,000.000 Number for 2016. KE: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 69,000.000 Number from Dec 1990 to 2017, with 28 observations. The data reached an all-time high of 180,000.000 Number in 1994 and a record low of 45,000.000 Number in 2017. KE: Newly Infected with HIV: Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 56,000.00 2016 | yearly | 1990 - 2016 |
View Kenya's Kenya KE: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2016 in the chart:
Kenya KE: Newly Infected with HIV: Children: Aged 0-14
KE: Newly Infected with HIV: Children: Aged 0-14 data was reported at 6,100.000 Number in 2016. This records a decrease from the previous number of 6,200.000 Number for 2015. KE: Newly Infected with HIV: Children: Aged 0-14 data is updated yearly, averaging 27,000.000 Number from Dec 1990 to 2016, with 27 observations. The data reached an all-time high of 40,000.000 Number in 1999 and a record low of 6,100.000 Number in 2016. KE: Newly Infected with HIV: Children: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Number of children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 6,100.00 2016 | yearly | 1990 - 2016 |
View Kenya's Kenya KE: Newly Infected with HIV: Children: Aged 0-14 from 1990 to 2016 in the chart:
Kenya KE: Number of Death: Infant
KE: Number of Death: Infant data was reported at 51,053.000 Person in 2017. This records a decrease from the previous number of 51,524.000 Person for 2016. KE: Number of Death: Infant data is updated yearly, averaging 55,663.000 Person from Dec 1960 to 2017, with 58 observations. The data reached an all-time high of 79,090.000 Person in 1999 and a record low of 46,502.000 Person in 1963. KE: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 53,496.00 2016 | yearly | 1960 - 2016 |
View Kenya's Kenya KE: Number of Death: Infant from 1960 to 2016 in the chart:
Kenya KE: Number of Death: Neonatal
KE: Number of Death: Neonatal data was reported at 32,051.000 Person in 2017. This records a decrease from the previous number of 32,357.000 Person for 2016. KE: Number of Death: Neonatal data is updated yearly, averaging 28,897.500 Person from Dec 1960 to 2017, with 58 observations. The data reached an all-time high of 38,733.000 Person in 2001 and a record low of 18,930.000 Person in 1960. KE: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 34,326.00 2016 | yearly | 1960 - 2016 |
View Kenya's Kenya KE: Number of Death: Neonatal from 1960 to 2016 in the chart:
Kenya KE: Number of Death: Under-5
KE: Number of Death: Under-5 data was reported at 68,882.000 Person in 2017. This records a decrease from the previous number of 70,401.000 Person for 2016. KE: Number of Death: Under-5 data is updated yearly, averaging 84,071.500 Person from Dec 1960 to 2017, with 58 observations. The data reached an all-time high of 126,587.000 Person in 1999 and a record low of 68,882.000 Person in 2017. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 73,533.00 2016 | yearly | 1960 - 2016 |
View Kenya's Kenya KE: Number of Death: Under-5 from 1960 to 2016 in the chart:
Kenya KE: Number of Deaths Ages 10-14 Years
KE: Number of Deaths Ages 10-14 Years data was reported at 6,000.000 Person in 2019. This records a decrease from the previous number of 6,001.000 Person for 2018. KE: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 4,932.500 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 6,001.000 Person in 2018 and a record low of 3,270.000 Person in 1990. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 6,000.000 2019 | yearly | 1990 - 2019 |
View Kenya's Kenya KE: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Kenya KE: Number of Deaths Ages 15-19 Years
KE: Number of Deaths Ages 15-19 Years data was reported at 7,457.000 Person in 2019. This records a decrease from the previous number of 7,526.000 Person for 2018. KE: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 7,626.500 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 8,569.000 Person in 2004 and a record low of 4,709.000 Person in 1990. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 7,457.000 2019 | yearly | 1990 - 2019 |
View Kenya's Kenya KE: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Kenya KE: Number of Deaths Ages 20-24 Years
KE: Number of Deaths Ages 20-24 Years data was reported at 9,925.000 Person in 2019. This records an increase from the previous number of 9,735.000 Person for 2018. KE: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 10,032.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 11,763.000 Person in 2004 and a record low of 6,063.000 Person in 1990. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 9,925.000 2019 | yearly | 1990 - 2019 |
View Kenya's Kenya KE: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Kenya KE: Number of Deaths Ages 5-14 Years
KE: Number of Deaths Ages 5-14 Years data was reported at 13,473.000 Person in 2017. This records a decrease from the previous number of 13,766.000 Person for 2015. KE: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 13,766.000 Person from Dec 1990 to 2017, with 5 observations. The data reached an all-time high of 15,211.000 Person in 2000 and a record low of 13,088.000 Person in 1990. KE: 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 Kenya – Table KE.World Bank.WDI: 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 |
|---|---|---|
| 13,753.00 2016 | yearly | 1990 - 2016 |
View Kenya's Kenya KE: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Kenya KE: Number of Deaths Ages 5-9 Years
KE: Number of Deaths Ages 5-9 Years data was reported at 7,556.000 Person in 2019. This records a decrease from the previous number of 7,792.000 Person for 2018. KE: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 8,847.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 10,641.000 Person in 1996 and a record low of 7,556.000 Person in 2019. KE: 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 Kenya – Table KE.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 |
|---|---|---|
| 7,556.000 2019 | yearly | 1990 - 2019 |