Zimbabwe Health Statistics
Zimbabwe ZW: ARI Treatment: % of Children Under 5 Taken to a Health Provider
ZW: ARI Treatment: % of Children Under 5 Taken to a Health Provider data was reported at 50.900 % in 2015. This records a decrease from the previous number of 58.600 % for 2014. ZW: ARI Treatment: % of Children Under 5 Taken to a Health Provider data is updated yearly, averaging 48.900 % from Dec 1999 (Median) to 2015, with 6 observations. The data reached an all-time high of 58.600 % in 2014 and a record low of 25.000 % in 2006. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 50.90 2015 | yearly | 1999 - 2015 |
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Zimbabwe ZW: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
ZW: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 105.818 Ratio in 2016. This records a decrease from the previous number of 107.555 Ratio for 2015. ZW: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 115.259 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 174.048 Ratio in 1972 and a record low of 105.818 Ratio in 2016. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 105.82 2016 | yearly | 1960 - 2016 |
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Zimbabwe ZW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
ZW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 1.300 NA in 2016. This records an increase from the previous number of 0.900 NA for 2010. ZW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 1.100 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 1.300 NA in 2016 and a record low of 0.900 NA in 2010. ZW: 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 Zimbabwe – Table ZW.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.300 2016 | yearly | 2010 - 2016 |
View Zimbabwe's Zimbabwe ZW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Zimbabwe ZW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
ZW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 8.500 NA in 2016. This records an increase from the previous number of 6.100 NA for 2010. ZW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 7.300 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 8.500 NA in 2016 and a record low of 6.100 NA in 2010. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 8.500 2016 | yearly | 2010 - 2016 |
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Zimbabwe ZW: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV
ZW: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data was reported at 95.000 % in 2017. This records an increase from the previous number of 94.000 % for 2016. ZW: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data is updated yearly, averaging 93.500 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 95.000 % in 2017 and a record low of 39.000 % in 2010. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 93.00 2016 | yearly | 2010 - 2016 |
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Zimbabwe ZW: Antiretroviral Therapy Coverage: % of People Living with HIV
ZW: Antiretroviral Therapy Coverage: % of People Living with HIV data was reported at 84.000 % in 2017. This records an increase from the previous number of 74.000 % for 2016. ZW: Antiretroviral Therapy Coverage: % of People Living with HIV data is updated yearly, averaging 15.000 % from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 84.000 % in 2017 and a record low of 0.000 % in 2003. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 75.00 2016 | yearly | 2000 - 2016 |
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Zimbabwe ZW: Births Attended by Skilled Health Staff: % of Total
ZW: Births Attended by Skilled Health Staff: % of Total data was reported at 78.100 % in 2015. This records a decrease from the previous number of 80.000 % for 2014. ZW: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 69.400 % from Dec 1988 (Median) to 2015, with 8 observations. The data reached an all-time high of 80.000 % in 2014 and a record low of 60.200 % in 2009. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 78.10 2015 | yearly | 1988 - 2015 |
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Zimbabwe ZW: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
ZW: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 54.600 % in 2016. This records a decrease from the previous number of 56.500 % for 2015. ZW: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 61.850 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 74.900 % in 2000 and a record low of 54.600 % in 2016. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 54.60 2016 | yearly | 2000 - 2016 |
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Zimbabwe ZW: Cause of Death: by Injury: % of Total
ZW: Cause of Death: by Injury: % of Total data was reported at 12.300 % in 2016. This records an increase from the previous number of 11.700 % for 2015. ZW: Cause of Death: by Injury: % of Total data is updated yearly, averaging 10.150 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 12.300 % in 2016 and a record low of 6.600 % in 2000. ZW: 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 Zimbabwe – Table ZW.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 12.30 2016 | yearly | 2000 - 2016 |
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Zimbabwe ZW: Cause of Death: by Non-Communicable Diseases: % of Total
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 33.00 2016 | yearly | 2000 - 2016 |
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Zimbabwe ZW: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever
ZW: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data was reported at 1.000 % in 2015. This records a decrease from the previous number of 3.000 % for 2014. ZW: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data is updated yearly, averaging 3.000 % from Dec 2006 (Median) to 2015, with 5 observations. The data reached an all-time high of 23.600 % in 2009 and a record low of 1.000 % in 2015. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 1.00 2015 | yearly | 2006 - 2015 |
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Zimbabwe ZW: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24
ZW: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 data was reported at 43.400 % in 2014. This records an increase from the previous number of 12.100 % for 2011. ZW: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 data is updated yearly, averaging 12.100 % from Dec 1994 (Median) to 2014, with 5 observations. The data reached an all-time high of 43.400 % in 2014 and a record low of 8.600 % in 2006. ZW: 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 Zimbabwe – Table ZW.World Bank.WDI: 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 |
|---|---|---|
| 43.40 2014 | yearly | 1994 - 2014 |
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Zimbabwe ZW: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24
ZW: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data was reported at 64.600 % in 2014. This records an increase from the previous number of 51.800 % for 2011. ZW: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data is updated yearly, averaging 51.800 % from Dec 1994 (Median) to 2014, with 5 observations. The data reached an all-time high of 64.600 % in 2014 and a record low of 48.500 % in 1994. ZW: 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 Zimbabwe – Table ZW.World Bank.WDI: 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 |
|---|---|---|
| 64.60 2014 | yearly | 1994 - 2014 |
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Zimbabwe ZW: Consumption of Iodized Salt: % of Households
ZW: Consumption of Iodized Salt: % of Households data was reported at 94.000 % in 2011. This records an increase from the previous number of 90.900 % for 2007. ZW: Consumption of Iodized Salt: % of Households data is updated yearly, averaging 92.450 % from Dec 2007 (Median) to 2011, with 2 observations. The data reached an all-time high of 94.000 % in 2011 and a record low of 90.900 % in 2007. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 94.00 2011 | yearly | 2007 - 2011 |
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Zimbabwe ZW: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
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.
| Last | Frequency | Range |
|---|---|---|
| 66.80 2015 | yearly | 1984 - 2015 |
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Zimbabwe ZW: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49
ZW: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data was reported at 65.800 % in 2015. This records a decrease from the previous number of 66.500 % for 2014. ZW: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data is updated yearly, averaging 53.850 % from Dec 1984 (Median) to 2015, with 10 observations. The data reached an all-time high of 66.500 % in 2014 and a record low of 26.600 % in 1984. ZW: 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 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, 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 |
|---|---|---|
| 65.80 2015 | yearly | 1984 - 2015 |
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Zimbabwe ZW: Current Health Expenditure Per Capita: Current PPP
ZW: Current 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. ZW: Current 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 2015 and a record low of 0.000 Intl $ mn in 2013. ZW: 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 Zimbabwe – Table ZW.World Bank.WDI: 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 | 2010 - 2015 |
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Zimbabwe ZW: Current Health Expenditure Per Capita: Current Price
ZW: Current 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. ZW: Current 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 2015 and a record low of 0.000 USD mn in 2013. ZW: 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 Zimbabwe – Table ZW.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 | 2010 - 2015 |
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Zimbabwe ZW: Current Health Expenditure: % of GDP
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 10.32 2015 | yearly | 2010 - 2015 |
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Zimbabwe ZW: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
ZW: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 85.200 % in 2015. This records a decrease from the previous number of 86.000 % for 2014. ZW: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 77.750 % from Dec 1994 (Median) to 2015, with 6 observations. The data reached an all-time high of 86.000 % in 2014 and a record low of 62.700 % in 1994. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 85.20 2015 | yearly | 1994 - 2015 |
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Zimbabwe ZW: Depth of the Food Deficit: Kilocalories per Person per Day
ZW: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 259.000 kcal in 2016. This records a decrease from the previous number of 264.000 kcal for 2015. ZW: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 338.000 kcal from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 367.000 kcal in 1996 and a record low of 255.000 kcal in 2013. ZW: 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 Zimbabwe – Table ZW.World Bank.WDI: 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 |
|---|---|---|
| 259.00 2016 | yearly | 1992 - 2016 |
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Zimbabwe ZW: Diabetes Prevalence: % of Population Aged 20-79
ZW: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 1.820 % in 2017. ZW: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 1.820 % from Dec 2017 (Median) to 2017, with 1 observations. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 1.82 2017 | yearly | 2017 - 2017 |
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Zimbabwe ZW: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding
ZW: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data was reported at 51.000 % in 2015. This records a decrease from the previous number of 56.400 % for 2014. ZW: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data is updated yearly, averaging 49.000 % from Dec 1999 (Median) to 2015, with 6 observations. The data reached an all-time high of 79.500 % in 1999 and a record low of 34.900 % in 2009. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 51.00 2015 | yearly | 1999 - 2015 |
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Zimbabwe ZW: Domestic General Government Health Expenditure Per Capita: Current PPP
ZW: Domestic General Government 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. ZW: Domestic General Government 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 2013 and a record low of 0.000 Intl $ mn in 2010. ZW: 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 Zimbabwe – Table ZW.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 | 2010 - 2015 |
View Zimbabwe's Zimbabwe ZW: Domestic General Government Health Expenditure Per Capita: Current PPP from 2010 to 2015 in the chart:
Zimbabwe ZW: Domestic General Government Health Expenditure Per Capita: Current Price
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2010 - 2015 |
View Zimbabwe's Zimbabwe ZW: Domestic General Government Health Expenditure Per Capita: Current Price from 2010 to 2015 in the chart:
Zimbabwe ZW: Domestic General Government Health Expenditure: % of Current Health Expenditure
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 20.82 2015 | yearly | 2010 - 2015 |
View Zimbabwe's Zimbabwe ZW: Domestic General Government Health Expenditure: % of Current Health Expenditure from 2010 to 2015 in the chart:
Zimbabwe ZW: Domestic General Government Health Expenditure: % of GDP
ZW: Domestic General Government Health Expenditure: % of GDP data was reported at 2.148 % in 2015. This records an increase from the previous number of 1.830 % for 2014. ZW: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 2.158 % from Dec 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 2.359 % in 2013 and a record low of 1.830 % in 2014. ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of the economy as measured by GDP.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 2.15 2015 | yearly | 2010 - 2015 |
View Zimbabwe's Zimbabwe ZW: Domestic General Government Health Expenditure: % of GDP from 2010 to 2015 in the chart:
Zimbabwe ZW: Domestic General Government Health Expenditure: % of General Government Expenditure
ZW: Domestic General Government Health Expenditure: % of General Government Expenditure data was reported at 8.150 % in 2015. This records an increase from the previous number of 6.457 % for 2014. ZW: Domestic General Government Health Expenditure: % of General Government Expenditure data is updated yearly, averaging 6.829 % from Dec 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 8.150 % in 2015 and a record low of 5.151 % in 2010. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 8.15 2015 | yearly | 2010 - 2015 |
View Zimbabwe's Zimbabwe ZW: Domestic General Government Health Expenditure: % of General Government Expenditure from 2010 to 2015 in the chart:
Zimbabwe ZW: Domestic Private Health Expenditure Per Capita: Current PPP
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2010 - 2015 |
View Zimbabwe's Zimbabwe ZW: Domestic Private Health Expenditure Per Capita: Current PPP from 2010 to 2015 in the chart:
Zimbabwe ZW: Domestic Private Health Expenditure Per Capita: Current Price
ZW: Domestic Private 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. ZW: Domestic Private 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 2010 and a record low of 0.000 USD mn in 2013. ZW: 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 Zimbabwe – Table ZW.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 | 2010 - 2015 |
View Zimbabwe's Zimbabwe ZW: Domestic Private Health Expenditure Per Capita: Current Price from 2010 to 2015 in the chart:
Zimbabwe ZW: Domestic Private Health Expenditure: % of Current Health Expenditure
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 41.97 2015 | yearly | 2010 - 2015 |
View Zimbabwe's Zimbabwe ZW: Domestic Private Health Expenditure: % of Current Health Expenditure from 2010 to 2015 in the chart:
Zimbabwe ZW: Exclusive Breastfeeding: % of Children under 6 Months
ZW: Exclusive Breastfeeding: % of Children under 6 Months data was reported at 47.127 % in 2015. This records an increase from the previous number of 40.286 % for 2014. ZW: Exclusive Breastfeeding: % of Children under 6 Months data is updated yearly, averaging 25.936 % from Dec 1988 (Median) to 2015, with 9 observations. The data reached an all-time high of 47.127 % in 2015 and a record low of 8.900 % in 1988. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 47.13 2015 | yearly | 1988 - 2015 |
View Zimbabwe's Zimbabwe ZW: Exclusive Breastfeeding: % of Children under 6 Months from 1988 to 2015 in the chart:
Zimbabwe ZW: External Health Expenditure Per Capita: Current PPP
ZW: 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. ZW: External 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 2014 and a record low of 0.000 Intl $ mn in 2013. ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Current external expenditures on health per capita expressed in international dollars at purchasing power parity (PPP). External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2010 - 2015 |
View Zimbabwe's Zimbabwe ZW: External Health Expenditure Per Capita: Current PPP from 2010 to 2015 in the chart:
Zimbabwe ZW: External Health Expenditure Per Capita: Current Price
ZW: 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. ZW: External 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 2014 and a record low of 0.000 USD mn in 2013. ZW: 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 Zimbabwe – Table ZW.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 | 2010 - 2015 |
View Zimbabwe's Zimbabwe ZW: External Health Expenditure Per Capita: Current Price from 2010 to 2015 in the chart:
Zimbabwe ZW: External Health Expenditure: % of Current Health Expenditure
ZW: External Health Expenditure: % of Current Health Expenditure data was reported at 24.256 % in 2015. This records a decrease from the previous number of 34.571 % for 2014. ZW: External Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 22.852 % from Dec 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 34.571 % in 2014 and a record low of 16.686 % in 2013. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 24.26 2015 | yearly | 2010 - 2015 |
View Zimbabwe's Zimbabwe ZW: External Health Expenditure: % of Current Health Expenditure from 2010 to 2015 in the chart:
Zimbabwe ZW: Female Adults with HIV: % of Population Aged 15+ with HIV
ZW: Female Adults with HIV: % of Population Aged 15+ with HIV data was reported at 58.628 % in 2016. This records an increase from the previous number of 58.503 % for 2015. ZW: Female Adults with HIV: % of Population Aged 15+ with HIV data is updated yearly, averaging 56.020 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 58.628 % in 2016 and a record low of 53.059 % in 1990. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 58.63 2016 | yearly | 1990 - 2016 |
View Zimbabwe's Zimbabwe ZW: Female Adults with HIV: % of Population Aged 15+ with HIV from 1990 to 2016 in the chart:
Zimbabwe ZW: Fertility Rate: Total: Births per Woman
ZW: Fertility Rate: Total: Births per Woman data was reported at 3.760 Ratio in 2016. This records a decrease from the previous number of 3.836 Ratio for 2015. ZW: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 5.569 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 7.420 Ratio in 1972 and a record low of 3.760 Ratio in 2016. ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.
| Last | Frequency | Range |
|---|---|---|
| 3.76 2016 | yearly | 1960 - 2016 |
View Zimbabwe's Zimbabwe ZW: Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
Zimbabwe ZW: Hospital Beds: per 1000 People
ZW: Hospital Beds: per 1000 People data was reported at 1.700 Number in 2011. This records a decrease from the previous number of 3.000 Number for 2006. ZW: Hospital Beds: per 1000 People data is updated yearly, averaging 3.000 Number from Dec 1960 (Median) to 2011, with 9 observations. The data reached an all-time high of 3.877 Number in 1960 and a record low of 0.511 Number in 1990. ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.; ; Data are from the World Health Organization, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.70 2011 | yearly | 1960 - 2011 |
View Zimbabwe's Zimbabwe ZW: Hospital Beds: per 1000 People from 1960 to 2011 in the chart:
Zimbabwe ZW: Immunization: DPT: % of Children Aged 12-23 Months
ZW: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 90.000 % in 2016. This records an increase from the previous number of 87.000 % for 2015. ZW: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 84.000 % from Dec 1981 (Median) to 2016, with 36 observations. The data reached an all-time high of 95.000 % in 2013 and a record low of 39.000 % in 1981. ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 90.00 2016 | yearly | 1981 - 2016 |
View Zimbabwe's Zimbabwe ZW: Immunization: DPT: % of Children Aged 12-23 Months from 1981 to 2016 in the chart:
Zimbabwe ZW: Immunization: HepB3: % of One-Year-Old Children
ZW: Immunization: HepB3: % of One-Year-Old Children data was reported at 90.000 % in 2016. This records an increase from the previous number of 87.000 % for 2015. ZW: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 73.000 % from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 97.000 % in 2012 and a record low of 1.000 % in 1995. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 90.00 2016 | yearly | 1995 - 2016 |
View Zimbabwe's Zimbabwe ZW: Immunization: HepB3: % of One-Year-Old Children from 1995 to 2016 in the chart:
Zimbabwe ZW: Immunization: Measles: % of Children Aged 12-23 Months
ZW: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 95.000 % in 2016. This records an increase from the previous number of 86.000 % for 2015. ZW: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 83.500 % from Dec 1981 (Median) to 2016, with 36 observations. The data reached an all-time high of 97.000 % in 2012 and a record low of 56.000 % in 1981. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 95.00 2016 | yearly | 1981 - 2016 |
View Zimbabwe's Zimbabwe ZW: Immunization: Measles: % of Children Aged 12-23 Months from 1981 to 2016 in the chart:
Zimbabwe ZW: Incidence of HIV: % of Uninfected Population Aged 15-49
ZW: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.540 % in 2016. This records a decrease from the previous number of 0.620 % for 2015. ZW: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 1.710 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 4.140 % in 1992 and a record low of 0.540 % in 2016. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 0.54 2016 | yearly | 1990 - 2016 |
View Zimbabwe's Zimbabwe ZW: Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2016 in the chart:
Zimbabwe ZW: Incidence of Malaria: per 1,000 Population at Risk
ZW: Incidence of Malaria: per 1,000 Population at Risk data was reported at 114.200 Number in 2015. This records a decrease from the previous number of 129.600 Number for 2010. ZW: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 136.050 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 143.200 Number in 2000 and a record low of 114.200 Number in 2015. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 114.20 2015 | yearly | 2000 - 2015 |
View Zimbabwe's Zimbabwe ZW: Incidence of Malaria: per 1,000 Population at Risk from 2000 to 2015 in the chart:
Zimbabwe ZW: Incidence of Tuberculosis: per 100,000 People
ZW: Incidence of Tuberculosis: per 100,000 People data was reported at 208.000 Ratio in 2016. This records a decrease from the previous number of 242.000 Ratio for 2015. ZW: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 487.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 617.000 Ratio in 2003 and a record low of 208.000 Ratio in 2016. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 208.00 2016 | yearly | 2000 - 2016 |
View Zimbabwe's Zimbabwe ZW: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Zimbabwe ZW: Intentional Homicides: Female: per 100,000 Female
ZW: Intentional Homicides: Female: per 100,000 Female data was reported at 2.041 Ratio in 2012. ZW: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 2.041 Ratio from Dec 2012 (Median) to 2012, with 1 observations. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 2.04 2012 | yearly | 2012 - 2012 |
View Zimbabwe's Zimbabwe ZW: Intentional Homicides: Female: per 100,000 Female from 2012 to 2012 in the chart:
Zimbabwe ZW: Intentional Homicides: Male: per 100,000 Male
ZW: Intentional Homicides: Male: per 100,000 Male data was reported at 11.549 Ratio in 2012. ZW: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 11.549 Ratio from Dec 2012 (Median) to 2012, with 1 observations. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 11.55 2012 | yearly | 2012 - 2012 |
View Zimbabwe's Zimbabwe ZW: Intentional Homicides: Male: per 100,000 Male from 2012 to 2012 in the chart:
Zimbabwe ZW: Intentional Homicides: per 100,000 People
ZW: Intentional Homicides: per 100,000 People data was reported at 6.700 Ratio in 2012. This records an increase from the previous number of 5.100 Ratio for 2010. ZW: Intentional Homicides: per 100,000 People data is updated yearly, averaging 10.450 Ratio from Jun 2001 (Median) to 2012, with 8 observations. The data reached an all-time high of 12.800 Ratio in 2002 and a record low of 5.100 Ratio in 2010. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 6.70 2012 | yearly | 2001 - 2012 |
View Zimbabwe's Zimbabwe ZW: Intentional Homicides: per 100,000 People from 2001 to 2012 in the chart:
Zimbabwe ZW: Life Expectancy at Birth: Female
ZW: Life Expectancy at Birth: Female data was reported at 62.898 Year in 2016. This records an increase from the previous number of 62.050 Year for 2015. ZW: Life Expectancy at Birth: Female data is updated yearly, averaging 56.617 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 63.386 Year in 1985 and a record low of 45.511 Year in 2003. ZW: 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 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;
| Last | Frequency | Range |
|---|---|---|
| 62.90 2016 | yearly | 1960 - 2016 |
View Zimbabwe's Zimbabwe ZW: Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
Zimbabwe ZW: Life Expectancy at Birth: Male
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 59.27 2016 | yearly | 1960 - 2016 |
View Zimbabwe's Zimbabwe ZW: Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
Zimbabwe ZW: Life Expectancy at Birth: Total
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 61.16 2016 | yearly | 1960 - 2016 |
View Zimbabwe's Zimbabwe ZW: Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
Zimbabwe ZW: Lifetime Risk Of Maternal Death
ZW: Lifetime Risk Of Maternal Death data was reported at 1.939 % in 2015. This records an increase from the previous number of 1.787 % for 2014. ZW: Lifetime Risk Of Maternal Death data is updated yearly, averaging 1.995 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 2.352 % in 1990 and a record low of 1.669 % in 2013. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 1.94 2015 | yearly | 1990 - 2015 |
View Zimbabwe's Zimbabwe ZW: Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
Zimbabwe ZW: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
ZW: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 52.000 NA in 2015. This records a decrease from the previous number of 56.000 NA for 2014. ZW: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 50.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 60.000 NA in 2013 and a record low of 43.000 NA in 1990. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 52.00 2015 | yearly | 1990 - 2015 |
View Zimbabwe's Zimbabwe ZW: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
Zimbabwe ZW: Low-Birthweight Babies: % of Births
ZW: Low-Birthweight Babies: % of Births data was reported at 11.000 % in 2011. This records a decrease from the previous number of 11.400 % for 2006. ZW: Low-Birthweight Babies: % of Births data is updated yearly, averaging 11.400 % from Dec 1994 (Median) to 2011, with 4 observations. The data reached an all-time high of 14.300 % in 1994 and a record low of 11.000 % in 2011. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 11.00 2011 | yearly | 1994 - 2011 |
View Zimbabwe's Zimbabwe ZW: Low-Birthweight Babies: % of Births from 1994 to 2011 in the chart:
Zimbabwe ZW: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
ZW: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 443.000 Ratio in 2015. This records an increase from the previous number of 401.000 Ratio for 2014. ZW: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 482.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 657.000 Ratio in 2003 and a record low of 369.000 Ratio in 2013. ZW: 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 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. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.
| Last | Frequency | Range |
|---|---|---|
| 443.00 2015 | yearly | 1990 - 2015 |
View Zimbabwe's Zimbabwe ZW: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
Zimbabwe ZW: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
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. 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. 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.; ;
| Last | Frequency | Range |
|---|---|---|
| 651.00 2015 | yearly | 1994 - 2015 |
View Zimbabwe's Zimbabwe ZW: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 1994 to 2015 in the chart:
Zimbabwe ZW: Mortality Caused by Road Traffic Injury: per 100,000 People
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 45.40 2015 | yearly | 2000 - 2015 |
View Zimbabwe's Zimbabwe ZW: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
Zimbabwe ZW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
ZW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 133.000 NA in 2016. ZW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 133.000 NA from Dec 2016 (Median) to 2016, with 1 observations. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 133.000 2016 | yearly | 2016 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Zimbabwe ZW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
ZW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 133.000 NA in 2016. ZW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 133.000 NA from Dec 2016 (Median) to 2016, with 1 observations. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 133.000 2016 | yearly | 2016 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Zimbabwe ZW: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
ZW: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 133.000 Ratio in 2016. ZW: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 133.000 Ratio from Dec 2016 (Median) to 2016, with 1 observations. ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 133.00 2016 | yearly | 2016 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Zimbabwe ZW: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
ZW: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 2.300 Ratio in 2016. This records a decrease from the previous number of 2.400 Ratio for 2015. ZW: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 2.500 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 3.100 Ratio in 2000 and a record low of 2.300 Ratio in 2016. ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.30 2016 | yearly | 2000 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Zimbabwe ZW: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 2.20 2016 | yearly | 2000 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Zimbabwe ZW: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
ZW: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 2.200 Ratio in 2016. This records a decrease from the previous number of 2.400 Ratio for 2015. ZW: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 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 3.400 Ratio in 2000 and a record low of 2.200 Ratio in 2016. ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.20 2016 | yearly | 2000 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Zimbabwe ZW: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 24.60 2016 | yearly | 2016 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Zimbabwe ZW: Mortality Rate: Adult: Female: per 1000 Female Adults
ZW: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 319.797 Ratio in 2016. This records a decrease from the previous number of 339.493 Ratio for 2015. ZW: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 302.669 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 685.026 Ratio in 2002 and a record low of 221.467 Ratio in 1982. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 319.80 2016 | yearly | 1960 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2016 in the chart:
Zimbabwe ZW: Mortality Rate: Adult: Male: per 1000 Male Adults
ZW: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 379.617 Ratio in 2016. This records a decrease from the previous number of 396.789 Ratio for 2015. ZW: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 379.617 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 753.695 Ratio in 2002 and a record low of 284.318 Ratio in 1982. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 379.62 2016 | yearly | 1960 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2016 in the chart:
Zimbabwe ZW: Mortality Rate: Infant: per 1000 Live Births
ZW: Mortality Rate: Infant: per 1000 Live Births data was reported at 40.000 Ratio in 2016. This records a decrease from the previous number of 42.000 Ratio for 2015. ZW: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 61.200 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 92.500 Ratio in 1960 and a record low of 40.000 Ratio in 2016. ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 40.00 2016 | yearly | 1960 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality Rate: Infant: per 1000 Live Births from 1960 to 2016 in the chart:
Zimbabwe ZW: Mortality Rate: Neonatal: per 1000 Live Births
ZW: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 22.900 Ratio in 2016. This records a decrease from the previous number of 23.800 Ratio for 2015. ZW: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 28.400 Ratio from Dec 1965 (Median) to 2016, with 52 observations. The data reached an all-time high of 34.700 Ratio in 1965 and a record low of 22.900 Ratio in 2016. ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries.
| Last | Frequency | Range |
|---|---|---|
| 22.90 2016 | yearly | 1965 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality Rate: Neonatal: per 1000 Live Births from 1965 to 2016 in the chart:
Zimbabwe ZW: Mortality Rate: Under-5: Female: per 1000 Live Births
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. 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. 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.
| Last | Frequency | Range |
|---|---|---|
| 51.20 2016 | yearly | 1990 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Zimbabwe ZW: Mortality Rate: Under-5: Male: per 1000 Live Births
ZW: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 61.500 Ratio in 2016. This records a decrease from the previous number of 65.000 Ratio for 2015. ZW: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 81.400 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 103.600 Ratio in 2000 and a record low of 61.500 Ratio in 2016. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 61.50 2016 | yearly | 1990 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Zimbabwe ZW: Mortality Rate: Under-5: per 1000 Live Births
ZW: Mortality Rate: Under-5: per 1000 Live Births data was reported at 56.400 Ratio in 2016. This records a decrease from the previous number of 59.900 Ratio for 2015. ZW: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 97.700 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 150.500 Ratio in 1960 and a record low of 56.400 Ratio in 2016. ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 56.40 2016 | yearly | 1960 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality Rate: Under-5: per 1000 Live Births from 1960 to 2016 in the chart:
Zimbabwe ZW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 19.30 2016 | yearly | 2000 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2016 in the chart:
Zimbabwe ZW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
ZW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 19.800 NA in 2016. This records a decrease from the previous number of 19.900 NA for 2015. ZW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 21.500 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 22.900 NA in 2005 and a record low of 19.800 NA in 2016. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 19.800 2016 | yearly | 2000 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Zimbabwe ZW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
ZW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 18.700 NA in 2016. This records an increase from the previous number of 18.600 NA for 2015. ZW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 20.500 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 22.100 NA in 2005 and a record low of 18.600 NA in 2015. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 18.700 2016 | yearly | 2000 - 2016 |
View Zimbabwe's Zimbabwe ZW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Zimbabwe ZW: Newborns Protected Against Tetanus
ZW: Newborns Protected Against Tetanus data was reported at 80.000 % in 2016. This records an increase from the previous number of 75.000 % for 2015. ZW: Newborns Protected Against Tetanus data is updated yearly, averaging 75.000 % from Dec 1985 (Median) to 2016, with 32 observations. The data reached an all-time high of 80.000 % in 2016 and a record low of 42.000 % in 1995. ZW: Newborns Protected Against Tetanus 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. 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 |
|---|---|---|
| 80.00 2016 | yearly | 1985 - 2016 |
View Zimbabwe's Zimbabwe ZW: Newborns Protected Against Tetanus from 1985 to 2016 in the chart:
Zimbabwe ZW: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14)
ZW: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 40,000.000 Number in 2016. This records a decrease from the previous number of 44,000.000 Number for 2015. ZW: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 97,000.000 Number from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 180,000.000 Number in 1993 and a record low of 40,000.000 Number in 2016. ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 40,000.00 2016 | yearly | 1990 - 2016 |
View Zimbabwe's Zimbabwe ZW: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) from 1990 to 2016 in the chart:
Zimbabwe ZW: Newly Infected with HIV: Adults: Aged 15+
ZW: Newly Infected with HIV: Adults: Aged 15+ data was reported at 37,000.000 Number in 2016. This records a decrease from the previous number of 40,000.000 Number for 2015. ZW: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 83,000.000 Number from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 170,000.000 Number in 1992 and a record low of 37,000.000 Number in 2016. ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 37,000.00 2016 | yearly | 1990 - 2016 |
View Zimbabwe's Zimbabwe ZW: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2016 in the chart:
Zimbabwe ZW: Number of Death: Infant
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 21,255.00 2016 | yearly | 1960 - 2016 |
View Zimbabwe's Zimbabwe ZW: Number of Death: Infant from 1960 to 2016 in the chart:
Zimbabwe ZW: Number of Death: Neonatal
ZW: Number of Death: Neonatal data was reported at 11,932.000 Person in 2017. This records a decrease from the previous number of 12,366.000 Person for 2016. ZW: Number of Death: Neonatal data is updated yearly, averaging 10,485.500 Person from Dec 1966 (Median) to 2017, with 52 observations. The data reached an all-time high of 15,263.000 Person in 2010 and a record low of 6,968.000 Person in 1966. ZW: Number of Death: Neonatal 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 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 |
|---|---|---|
| 12,246.00 2016 | yearly | 1966 - 2016 |
View Zimbabwe's Zimbabwe ZW: Number of Death: Neonatal from 1966 to 2016 in the chart:
Zimbabwe ZW: Number of Death: Under-5
ZW: Number of Death: Under-5 data was reported at 26,663.000 Person in 2017. This records a decrease from the previous number of 28,273.000 Person for 2016. ZW: Number of Death: Under-5 data is updated yearly, averaging 31,852.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 45,310.000 Person in 2007 and a record low of 25,525.000 Person in 1966. ZW: 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 Zimbabwe – Table ZW.World Bank: Health Statistics. Number of children dying before reaching age five.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 29,878.00 2016 | yearly | 1960 - 2016 |
View Zimbabwe's Zimbabwe ZW: Number of Death: Under-5 from 1960 to 2016 in the chart:
Zimbabwe ZW: Number of Deaths Ages 10-14 Years
ZW: Number of Deaths Ages 10-14 Years data was reported at 2,501.000 Person in 2019. This records an increase from the previous number of 2,468.000 Person for 2018. ZW: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 2,225.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 2,501.000 Person in 2019 and a record low of 1,416.000 Person in 1990. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 2,501.000 2019 | yearly | 1990 - 2019 |
View Zimbabwe's Zimbabwe ZW: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Zimbabwe ZW: Number of Deaths Ages 15-19 Years
ZW: Number of Deaths Ages 15-19 Years data was reported at 3,094.000 Person in 2019. This records a decrease from the previous number of 3,097.000 Person for 2018. ZW: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 3,098.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 3,525.000 Person in 2005 and a record low of 1,797.000 Person in 1990. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 3,094.000 2019 | yearly | 1990 - 2019 |
View Zimbabwe's Zimbabwe ZW: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Zimbabwe ZW: Number of Deaths Ages 20-24 Years
ZW: Number of Deaths Ages 20-24 Years data was reported at 3,938.000 Person in 2019. This records a decrease from the previous number of 3,952.000 Person for 2018. ZW: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 5,005.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 6,324.000 Person in 2001 and a record low of 2,842.000 Person in 1990. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 3,938.000 2019 | yearly | 1990 - 2019 |
View Zimbabwe's Zimbabwe ZW: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Zimbabwe ZW: Number of Deaths Ages 5-14 Years
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 6,495.00 2016 | yearly | 1990 - 2016 |
View Zimbabwe's Zimbabwe ZW: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Zimbabwe ZW: Number of Deaths Ages 5-9 Years
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. 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. 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.
| Last | Frequency | Range |
|---|---|---|
| 2,264.000 2019 | yearly | 1990 - 2019 |
View Zimbabwe's Zimbabwe ZW: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Zimbabwe ZW: Number of Maternal Death
ZW: Number of Maternal Death data was reported at 2,400.000 Person in 2015. This records an increase from the previous number of 2,200.000 Person for 2014. ZW: Number of Maternal Death data is updated yearly, averaging 2,250.000 Person from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 2,900.000 Person in 2004 and a record low of 1,600.000 Person in 1993. ZW: Number of Maternal Death 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. A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Sum;
| Last | Frequency | Range |
|---|---|---|
| 2,400.00 2015 | yearly | 1990 - 2015 |
View Zimbabwe's Zimbabwe ZW: Number of Maternal Death from 1990 to 2015 in the chart:
Zimbabwe ZW: Nurses and Midwives: per 1000 People
ZW: Nurses and Midwives: per 1000 People data was reported at 1.167 Ratio in 2014. This records a decrease from the previous number of 1.257 Ratio for 2013. ZW: Nurses and Midwives: per 1000 People data is updated yearly, averaging 1.217 Ratio from Dec 1990 (Median) to 2014, with 8 observations. The data reached an all-time high of 1.491 Ratio in 1995 and a record low of 1.067 Ratio in 2012. ZW: Nurses and Midwives: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.17 2014 | yearly | 1990 - 2014 |
View Zimbabwe's Zimbabwe ZW: Nurses and Midwives: per 1000 People from 1990 to 2014 in the chart:
Zimbabwe ZW: Out-of-Pocket Health Expenditure Per Capita: Current Price
ZW: Out-of-Pocket 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. ZW: Out-of-Pocket 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 2010 and a record low of 0.000 USD mn in 2013. ZW: Out-of-Pocket Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank.WDI: Health Statistics. Health expenditure through out-of-pocket payments per capita in USD. Out of pocket payments are spending on health directly out of pocket by households in each country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2010 - 2015 |
View Zimbabwe's Zimbabwe ZW: Out-of-Pocket Health Expenditure Per Capita: Current Price from 2010 to 2015 in the chart:
Zimbabwe ZW: Out-of-Pocket Health Expenditure: % of Current Health Expenditure
ZW: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 25.786 % in 2015. This records a decrease from the previous number of 26.966 % for 2014. ZW: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 30.970 % from Dec 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 39.716 % in 2010 and a record low of 25.786 % in 2015. ZW: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Health Statistics. Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 25.79 2015 | yearly | 2010 - 2015 |
View Zimbabwe's Zimbabwe ZW: Out-of-Pocket Health Expenditure: % of Current Health Expenditure from 2010 to 2015 in the chart:
Zimbabwe ZW: Out-of-Pocket Helath Expenditure Per Capita: Current PPP
ZW: Out-of-Pocket Helath 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. ZW: Out-of-Pocket Helath 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. ZW: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Health Statistics. Health expenditure through out-of-pocket payments per capita in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2010 - 2015 |
View Zimbabwe's Zimbabwe ZW: Out-of-Pocket Helath Expenditure Per Capita: Current PPP from 2010 to 2015 in the chart:
Zimbabwe ZW: People Practicing Open Defecation: % of Population
ZW: People Practicing Open Defecation: % of Population data was reported at 26.489 % in 2015. This records a decrease from the previous number of 26.682 % for 2014. ZW: People Practicing Open Defecation: % of Population data is updated yearly, averaging 27.808 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 29.341 % in 2000 and a record low of 26.489 % in 2015. ZW: People Practicing Open Defecation: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 26.49 2015 | yearly | 2000 - 2015 |
View Zimbabwe's Zimbabwe ZW: People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
Zimbabwe ZW: People Practicing Open Defecation: Rural: % of Rural Population
ZW: People Practicing Open Defecation: Rural: % of Rural Population data was reported at 39.100 % in 2015. This records a decrease from the previous number of 39.323 % for 2014. ZW: People Practicing Open Defecation: Rural: % of Rural Population data is updated yearly, averaging 40.772 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 42.221 % in 2001 and a record low of 39.100 % in 2015. ZW: People Practicing Open Defecation: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 39.10 2015 | yearly | 2000 - 2015 |
View Zimbabwe's Zimbabwe ZW: People Practicing Open Defecation: Rural: % of Rural Population from 2000 to 2015 in the chart:
Zimbabwe ZW: People Practicing Open Defecation: Urban: % of Urban Population
ZW: People Practicing Open Defecation: Urban: % of Urban Population data was reported at 0.150 % in 2015. This records a decrease from the previous number of 0.430 % for 2014. ZW: People Practicing Open Defecation: Urban: % of Urban Population data is updated yearly, averaging 2.249 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 4.068 % in 2001 and a record low of 0.150 % in 2015. ZW: People Practicing Open Defecation: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.15 2015 | yearly | 2000 - 2015 |
View Zimbabwe's Zimbabwe ZW: People Practicing Open Defecation: Urban: % of Urban Population from 2000 to 2015 in the chart:
Zimbabwe ZW: People Using At Least Basic Drinking Water Services: % of Population
ZW: People Using At Least Basic Drinking Water Services: % of Population data was reported at 66.563 % in 2015. This records a decrease from the previous number of 66.850 % for 2014. ZW: People Using At Least Basic Drinking Water Services: % of Population data is updated yearly, averaging 68.828 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 70.535 % in 2001 and a record low of 66.563 % in 2015. ZW: People Using At Least Basic Drinking Water Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 66.56 2015 | yearly | 2000 - 2015 |