Zimbabwe ZW: Number of Deaths Ages 5-9 Years data was reported at 2,264.000 Person in 2019. This records a decrease from the previous number of 2,306.000 Person for 2018. Zimbabwe ZW: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 2,863.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 2,982.000 Person in 2006 and a record low of 2,264.000 Person in 2019. Zimbabwe ZW: 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 Zimbabwe – Table ZW.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.

Zimbabwe ZW: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 51.200 Ratio in 2016. This records a decrease from the previous number of 54.500 Ratio for 2015. Zimbabwe ZW: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 68.700 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 89.500 Ratio in 2000 and a record low of 51.200 Ratio in 2016. Zimbabwe ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

ZW: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 66.800 % in 2015. This records a decrease from the previous number of 66.900 % for 2014. ZW: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 56.000 % from Dec 1984 (Median) to 2015, with 10 observations. The data reached an all-time high of 66.900 % in 2014 and a record low of 38.400 % in 1984. ZW: 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 Zimbabwe – Table ZW.World Bank.WDI: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for women ages 15-49 who are married or in union.; ; UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.; Weighted average; Contraceptive prevalence amongst women of reproductive age is an indicator of women's empowerment and is related to maternal health, HIV/AIDS, and gender equality.

Zimbabwe ZW: Current Health Expenditure: % of GDP data was reported at 10.317 % in 2015. This records an increase from the previous number of 8.886 % for 2014. Zimbabwe ZW: Current Health Expenditure: % of GDP data is updated yearly, averaging 9.114 % from Dec 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 11.607 % in 2010 and a record low of 7.676 % in 2013. Zimbabwe ZW: 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 Zimbabwe – Table ZW.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;

Zimbabwe ZW: Life Expectancy at Birth: Total data was reported at 61.163 Year in 2016. This records an increase from the previous number of 60.398 Year for 2015. Zimbabwe ZW: Life Expectancy at Birth: Total data is updated yearly, averaging 54.800 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 61.163 Year in 2016 and a record low of 44.109 Year in 2002. Zimbabwe ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Zimbabwe ZW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 19.300 % in 2016. This records a decrease from the previous number of 19.400 % for 2015. Zimbabwe ZW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 21.100 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 22.500 % in 2005 and a record low of 19.300 % in 2016. Zimbabwe ZW: 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 Zimbabwe – Table ZW.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;

Zimbabwe ZW: 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. Zimbabwe ZW: Domestic Private Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2010 (Median) to 2015, with 6 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 2013. Zimbabwe ZW: 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 Zimbabwe – Table ZW.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;

Zimbabwe ZW: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 2.200 Ratio in 2016. This records a decrease from the previous number of 2.300 Ratio for 2015. Zimbabwe ZW: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 2.600 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 3.700 Ratio in 2000 and a record low of 2.200 Ratio in 2016. Zimbabwe ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

Zimbabwe ZW: Number of Death: Infant data was reported at 21,255.000 Person in 2016. This records a decrease from the previous number of 22,300.000 Person for 2015. Zimbabwe ZW: Number of Death: Infant data is updated yearly, averaging 21,088.000 Person from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 29,619.000 Person in 2009 and a record low of 16,239.000 Person in 1960. Zimbabwe ZW: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Health Statistics. Number of infants dying before reaching one year of age.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;

Zimbabwe ZW: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 33.000 % in 2016. This records an increase from the previous number of 31.700 % for 2015. Zimbabwe ZW: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 27.950 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 33.000 % in 2016 and a record low of 18.600 % in 2000. Zimbabwe ZW: 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 Zimbabwe – Table ZW.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;

Zimbabwe ZW: Life Expectancy at Birth: Male data was reported at 59.274 Year in 2016. This records an increase from the previous number of 58.593 Year for 2015. Zimbabwe ZW: Life Expectancy at Birth: Male data is updated yearly, averaging 52.951 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 59.274 Year in 2016 and a record low of 42.606 Year in 2002. Zimbabwe ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Zimbabwe ZW: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 6.700 Ratio in 2019. This records a decrease from the previous number of 6.800 Ratio for 2018. Zimbabwe ZW: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 6.750 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 7.300 Ratio in 2011 and a record low of 4.900 Ratio in 1990. Zimbabwe ZW: Probability of Dying at Age 10-14 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank.WDI: Health Statistics. Probability of dying between age 10-14 years of age expressed per 1,000 adolescents age 10, 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; 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.

Zimbabwe ZW: Domestic General Government Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records an increase from the previous number of 0.000 USD mn for 2014. Zimbabwe ZW: Domestic General Government Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 0.000 USD mn in 2013 and a record low of 0.000 USD mn in 2010. Zimbabwe ZW: 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 Zimbabwe – Table ZW.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;

Zimbabwe ZW: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 9.700 Ratio in 2019. This records a decrease from the previous number of 9.900 Ratio for 2018. Zimbabwe ZW: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 10.400 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 11.400 Ratio in 2003 and a record low of 7.500 Ratio in 1990. Zimbabwe ZW: Probability of Dying at Age 15-19 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank.WDI: Health Statistics. Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, 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; 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.

Zimbabwe ZW: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 24.600 Ratio in 2016. Zimbabwe ZW: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 24.600 Ratio from Dec 2016 (Median) to 2016, with 1 observations. Zimbabwe ZW: 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 Zimbabwe – Table ZW.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;

Zimbabwe ZW: Domestic General Government Health Expenditure: % of Current Health Expenditure data was reported at 20.818 % in 2015. This records an increase from the previous number of 20.596 % for 2014. Zimbabwe ZW: Domestic General Government Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 22.009 % from Dec 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 30.727 % in 2013 and a record low of 18.683 % in 2010. Zimbabwe ZW: 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 Zimbabwe – Table ZW.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;

Zimbabwe ZW: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 41.970 % in 2015. This records a decrease from the previous number of 44.833 % for 2014. Zimbabwe ZW: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 53.969 % from Dec 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 55.735 % in 2012 and a record low of 41.970 % in 2015. Zimbabwe ZW: 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 Zimbabwe – Table ZW.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;

Zimbabwe ZW: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 651.000 Ratio in 2015. This records an increase from the previous number of 610.000 Ratio for 2014. Zimbabwe ZW: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 647.000 Ratio from Dec 1994 (Median) to 2015, with 9 observations. The data reached an all-time high of 1,100.000 Ratio in 2002 and a record low of 365.000 Ratio in 1994. Zimbabwe ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; ;

Zimbabwe ZW: Number of Deaths Ages 5-14 Years data was reported at 6,495.000 Person in 2016. This records an increase from the previous number of 6,452.000 Person for 2015. Zimbabwe ZW: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 6,127.000 Person from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 6,495.000 Person in 2016 and a record low of 3,900.000 Person in 1990. Zimbabwe ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Number of deaths of children ages 5-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;

Zimbabwe ZW: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 45.400 Number in 2015. This records an increase from the previous number of 42.400 Number for 2010. Zimbabwe ZW: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 41.200 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 45.400 Number in 2015 and a record low of 37.700 Number in 2000. Zimbabwe ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.; ; World Health Organization, Global Status Report on Road Safety.; Weighted average;