Benin Social: Health Statistics
BJ: ARI Treatment: % of Children Under 5 Taken to a Health Provider
BJ: ARI Treatment: % of Children Under 5 Taken to a Health Provider data was reported at 29.000 % in 2018. This records an increase from the previous number of 23.300 % for 2014. BJ: ARI Treatment: % of Children Under 5 Taken to a Health Provider data is updated yearly, averaging 31.000 % from Dec 2001 (Median) to 2018, with 5 observations. The data reached an all-time high of 36.000 % in 2006 and a record low of 23.300 % in 2014. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 |
|---|---|---|
| 29.000 2018 | yearly | 2001 - 2018 |
View Benin's BJ: ARI Treatment: % of Children Under 5 Taken to a Health Provider from 2001 to 2018 in the chart:
BJ: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
BJ: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 78.860 Ratio in 2022. This records a decrease from the previous number of 79.804 Ratio for 2021. BJ: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 125.405 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 162.380 Ratio in 1964 and a record low of 78.860 Ratio in 2022. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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;This is the Sustainable Development Goal indicator 3.7.2 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 78.860 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2022 in the chart:
BJ: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV
BJ: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data was reported at 94.000 % in 2022. This records an increase from the previous number of 86.000 % for 2021. BJ: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data is updated yearly, averaging 19.000 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 94.000 % in 2022 and a record low of 0.000 % in 2007. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 |
|---|---|---|
| 94.000 2022 | yearly | 2000 - 2022 |
View Benin's BJ: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV from 2000 to 2022 in the chart:
BJ: Antiretroviral Therapy Coverage: % of People Living with HIV
BJ: Antiretroviral Therapy Coverage: % of People Living with HIV data was reported at 81.000 % in 2022. This records an increase from the previous number of 74.000 % for 2021. BJ: Antiretroviral Therapy Coverage: % of People Living with HIV data is updated yearly, averaging 33.000 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 81.000 % in 2022 and a record low of 0.000 % in 2007. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 |
|---|---|---|
| 81.000 2022 | yearly | 2000 - 2022 |
View Benin's BJ: Antiretroviral Therapy Coverage: % of People Living with HIV from 2000 to 2022 in the chart:
BJ: Births Attended by Skilled Health Staff: % of Total
BJ: Births Attended by Skilled Health Staff: % of Total data was reported at 78.100 % in 2018. This records an increase from the previous number of 77.200 % for 2014. BJ: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 75.000 % from Dec 1996 (Median) to 2018, with 7 observations. The data reached an all-time high of 80.900 % in 2012 and a record low of 59.800 % in 1996. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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. This is the Sustainable Development Goal indicator 3.1.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 78.100 2018 | yearly | 1996 - 2018 |
View Benin's BJ: Births Attended by Skilled Health Staff: % of Total from 1996 to 2018 in the chart:
BJ: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
BJ: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 51.832 % in 2019. This records a decrease from the previous number of 54.118 % for 2015. BJ: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 55.890 % from Dec 2000 (Median) to 2019, with 4 observations. The data reached an all-time high of 63.576 % in 2000 and a record low of 51.832 % in 2019. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 51.832 2019 | yearly | 2000 - 2019 |
View Benin's BJ: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2019 in the chart:
BJ: Cause of Death: by Injury: % of Total
BJ: Cause of Death: by Injury: % of Total data was reported at 9.191 % in 2019. This records an increase from the previous number of 8.994 % for 2015. BJ: Cause of Death: by Injury: % of Total data is updated yearly, averaging 8.700 % from Dec 2000 (Median) to 2019, with 4 observations. The data reached an all-time high of 9.191 % in 2019 and a record low of 7.229 % in 2000. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 9.191 2019 | yearly | 2000 - 2019 |
View Benin's BJ: Cause of Death: by Injury: % of Total from 2000 to 2019 in the chart:
BJ: Cause of Death: by Non-Communicable Diseases: % of Total
BJ: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 38.977 % in 2019. This records an increase from the previous number of 36.887 % for 2015. BJ: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 35.410 % from Dec 2000 (Median) to 2019, with 4 observations. The data reached an all-time high of 38.977 % in 2019 and a record low of 29.195 % in 2000. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization; 2020. Link: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 38.977 2019 | yearly | 2000 - 2019 |
View Benin's BJ: Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2019 in the chart:
BJ: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever
BJ: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data was reported at 17.500 % in 2018. This records a decrease from the previous number of 25.900 % for 2014. BJ: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data is updated yearly, averaging 38.400 % from Dec 2001 (Median) to 2018, with 5 observations. The data reached an all-time high of 63.300 % in 2001 and a record low of 17.500 % in 2018. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 |
|---|---|---|
| 17.500 2018 | yearly | 2001 - 2018 |
View Benin's BJ: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever from 2001 to 2018 in the chart:
BJ: Children: 0-14 Living with HIV
BJ: Children: 0-14 Living with HIV data was reported at 7,900.000 Person in 2022. This records a decrease from the previous number of 8,500.000 Person for 2021. BJ: Children: 0-14 Living with HIV data is updated yearly, averaging 10,000.000 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 13,000.000 Person in 2011 and a record low of 1,700.000 Person in 1990. BJ: Children: 0-14 Living with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Children living with HIV refers to the number of children ages 0-14 who are infected with HIV.;UNAIDS estimates.;;
| Last | Frequency | Range |
|---|---|---|
| 7,900.000 2022 | yearly | 1990 - 2022 |
View Benin's BJ: Children: 0-14 Living with HIV from 1990 to 2022 in the chart:
BJ: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24
BJ: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 data was reported at 31.100 % in 2014. This records an increase from the previous number of 19.200 % for 2012. BJ: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 data is updated yearly, averaging 10.400 % from Dec 1996 (Median) to 2014, with 5 observations. The data reached an all-time high of 31.100 % in 2014 and a record low of 3.700 % in 1996. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 |
|---|---|---|
| 31.100 2014 | yearly | 1996 - 2014 |
View Benin's BJ: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 from 1996 to 2014 in the chart:
BJ: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24
BJ: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data was reported at 35.600 % in 2014. This records a decrease from the previous number of 40.200 % for 2012. BJ: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data is updated yearly, averaging 37.150 % from Dec 2001 (Median) to 2014, with 4 observations. The data reached an all-time high of 40.200 % in 2012 and a record low of 31.700 % in 2001. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 |
|---|---|---|
| 35.600 2014 | yearly | 2001 - 2014 |
View Benin's BJ: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 from 2001 to 2014 in the chart:
BJ: Consumption of Iodized Salt: % of Households
BJ: Consumption of Iodized Salt: % of Households data was reported at 84.700 % in 2018. This records an increase from the previous number of 69.200 % for 2014. BJ: Consumption of Iodized Salt: % of Households data is updated yearly, averaging 79.800 % from Dec 1996 (Median) to 2018, with 7 observations. The data reached an all-time high of 89.000 % in 2012 and a record low of 69.200 % in 2014. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Percentage of households which have salt they used for cooking that tested positive (>0ppm) for presence of iodine.;United Nations Children's Fund, Division of Data, Analysis, Planning and Monitoring (2019). UNICEF Global Databases on Iodized salt, New York, June 2019;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 |
|---|---|---|
| 84.700 2018 | yearly | 1996 - 2018 |
View Benin's BJ: Consumption of Iodized Salt: % of Households from 1996 to 2018 in the chart:
BJ: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
BJ: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 15.500 % in 2018. This records a decrease from the previous number of 17.900 % for 2014. BJ: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 16.400 % from Dec 1982 (Median) to 2018, with 7 observations. The data reached an all-time high of 18.600 % in 2001 and a record low of 6.600 % in 1982. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Contraceptive prevalence, any method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, any method of contraception (modern or traditional). 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. Traditional methods of contraception include rhythm (e.g., fertility awareness based methods, periodic abstinence), withdrawal and other traditional methods.;Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 15.500 2018 | yearly | 1982 - 2018 |
View Benin's BJ: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 from 1982 to 2018 in the chart:
BJ: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49
BJ: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data was reported at 12.400 % in 2018. This stayed constant from the previous number of 12.400 % for 2014. BJ: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data is updated yearly, averaging 7.200 % from Dec 1982 (Median) to 2018, with 7 observations. The data reached an all-time high of 12.400 % in 2018 and a record low of 0.700 % in 1982. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Contraceptive prevalence, any modern method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, at least one modern method of contraception. 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 |
|---|---|---|
| 12.400 2018 | yearly | 1982 - 2018 |
View Benin's BJ: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 from 1982 to 2018 in the chart:
BJ: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
BJ: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 25.900 % in 2018. This records an increase from the previous number of 17.400 % for 2012. BJ: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 15.400 % from Dec 1996 (Median) to 2018, with 5 observations. The data reached an all-time high of 25.900 % in 2018 and a record low of 7.800 % in 1996. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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;This is the Sustainable Development Goal indicator 3.7.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 25.900 2018 | yearly | 1996 - 2018 |
View Benin's BJ: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning from 1996 to 2018 in the chart:
BJ: Diabetes Prevalence: % of Population Aged 20-79
BJ: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 1.100 % in 2021. This records a decrease from the previous number of 2.000 % for 2011. BJ: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 1.550 % from Dec 2011 (Median) to 2021, with 2 observations. The data reached an all-time high of 2.000 % in 2011 and a record low of 1.100 % in 2021. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes. It is calculated by adjusting to a standard population age-structure.;International Diabetes Federation, Diabetes Atlas.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.100 2021 | yearly | 2011 - 2021 |
View Benin's BJ: Diabetes Prevalence: % of Population Aged 20-79 from 2011 to 2021 in the chart:
BJ: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding
BJ: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data was reported at 28.000 % in 2018. This records a decrease from the previous number of 32.500 % for 2014. BJ: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data is updated yearly, averaging 41.700 % from Dec 2001 (Median) to 2018, with 5 observations. The data reached an all-time high of 48.800 % in 2012 and a record low of 28.000 % in 2018. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 |
|---|---|---|
| 28.000 2018 | yearly | 2001 - 2018 |
View Benin's BJ: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding from 2001 to 2018 in the chart:
BJ: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet
BJ: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data was reported at 22.200 % in 2018. This records a decrease from the previous number of 25.400 % for 2014. BJ: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data is updated yearly, averaging 25.400 % from Dec 1986 (Median) to 2018, with 9 observations. The data reached an all-time high of 50.100 % in 2012 and a record low of 12.000 % in 1986. BJ: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Percentage of children under age 5 with diarrhea in the two weeks preceding the survey who received oral rehydration salts (ORS packets or pre-packaged ORS fluids).;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 22.200 2018 | yearly | 1986 - 2018 |
View Benin's BJ: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet from 1986 to 2018 in the chart:
BJ: Exclusive Breastfeeding: % of Children under 6 Months
BJ: Exclusive Breastfeeding: % of Children under 6 Months data was reported at 41.402 % in 2018. This records an increase from the previous number of 41.369 % for 2014. BJ: Exclusive Breastfeeding: % of Children under 6 Months data is updated yearly, averaging 41.369 % from Dec 1996 (Median) to 2018, with 7 observations. The data reached an all-time high of 43.000 % in 2008 and a record low of 10.100 % in 1996. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 |
|---|---|---|
| 41.402 2018 | yearly | 1996 - 2018 |
View Benin's BJ: Exclusive Breastfeeding: % of Children under 6 Months from 1996 to 2018 in the chart:
BJ: Female Adults with HIV: % of Population Aged 15+ with HIV
BJ: Female Adults with HIV: % of Population Aged 15+ with HIV data was reported at 65.731 % in 2022. This records an increase from the previous number of 65.494 % for 2021. BJ: Female Adults with HIV: % of Population Aged 15+ with HIV data is updated yearly, averaging 60.303 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 65.731 % in 2022 and a record low of 56.536 % in 1990. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 |
|---|---|---|
| 65.731 2022 | yearly | 1990 - 2022 |
View Benin's BJ: Female Adults with HIV: % of Population Aged 15+ with HIV from 1990 to 2022 in the chart:
BJ: Female Genital Mutilation Prevalence
BJ: Female Genital Mutilation Prevalence data was reported at 9.200 % in 2014. This records an increase from the previous number of 7.300 % for 2012. BJ: Female Genital Mutilation Prevalence data is updated yearly, averaging 11.050 % from Dec 2001 (Median) to 2014, with 4 observations. The data reached an all-time high of 16.800 % in 2001 and a record low of 7.300 % in 2012. BJ: Female Genital Mutilation Prevalence data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons.;UNICEF DATA (http://www.data.unicef.org/); Demographic and Health Surveys (DHS); Multiple Indicator Cluster Surveys (MICS), and other surveys.;;This is the Sustainable Development Goal indicator 5.3.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 9.200 2014 | yearly | 2001 - 2014 |
View Benin's BJ: Female Genital Mutilation Prevalence from 2001 to 2014 in the chart:
BJ: Fertility Rate: Total: Births per Woman
BJ: Fertility Rate: Total: Births per Woman data was reported at 4.895 Ratio in 2022. This records a decrease from the previous number of 4.973 Ratio for 2021. BJ: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 6.457 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 7.052 Ratio in 1981 and a record low of 4.895 Ratio in 2022. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.;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 |
|---|---|---|
| 4.895 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Fertility Rate: Total: Births per Woman from 1960 to 2022 in the chart:
BJ: Hospital Beds: per 1000 People
BJ: Hospital Beds: per 1000 People data was reported at 0.450 Number in 2021. This records a decrease from the previous number of 0.470 Number for 2020. BJ: Hospital Beds: per 1000 People data is updated yearly, averaging 0.460 Number from Dec 1960 (Median) to 2021, with 23 observations. The data reached an all-time high of 1.465 Number in 1980 and a record low of 0.223 Number in 1992. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 |
|---|---|---|
| 0.450 2021 | yearly | 1960 - 2021 |
View Benin's BJ: Hospital Beds: per 1000 People from 1960 to 2021 in the chart:
BJ: Immunization: HepB3: % of One-Year-Old Children
BJ: Immunization: HepB3: % of One-Year-Old Children data was reported at 76.000 % in 2021. This records an increase from the previous number of 72.000 % for 2020. BJ: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 75.500 % from Dec 2002 (Median) to 2021, with 20 observations. The data reached an all-time high of 82.000 % in 2007 and a record low of 15.000 % in 2002. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 |
|---|---|---|
| 76.000 2021 | yearly | 2002 - 2021 |
View Benin's BJ: Immunization: HepB3: % of One-Year-Old Children from 2002 to 2021 in the chart:
BJ: Immunization: Measles: % of Children Aged 12-23 Months
BJ: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 52.000 % in 2023. This stayed constant from the previous number of 52.000 % for 2022. BJ: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 66.000 % from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 79.000 % in 1990 and a record low of 20.000 % in 1986. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 |
|---|---|---|
| 52.000 2023 | yearly | 1985 - 2023 |
View Benin's BJ: Immunization: Measles: % of Children Aged 12-23 Months from 1985 to 2023 in the chart:
BJ: Incidence of HIV: per 1,000 Uninfected Population
BJ: Incidence of HIV: per 1,000 Uninfected Population data was reported at 0.110 Ratio in 2022. This records a decrease from the previous number of 0.140 Ratio for 2021. BJ: Incidence of HIV: per 1,000 Uninfected Population data is updated yearly, averaging 0.780 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 1.440 Ratio in 1995 and a record low of 0.110 Ratio in 2022. BJ: Incidence of HIV: per 1,000 Uninfected Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations expressed per 1,000 uninfected population in the year before the period.;UNAIDS estimates.;Weighted average;This is the Sustainable Development Goal indicator 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 0.110 2022 | yearly | 1990 - 2022 |
View Benin's BJ: Incidence of HIV: per 1,000 Uninfected Population from 1990 to 2022 in the chart:
BJ: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24
BJ: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data was reported at 0.140 Ratio in 2022. This records a decrease from the previous number of 0.170 Ratio for 2021. BJ: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data is updated yearly, averaging 1.040 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 2.450 Ratio in 1995 and a record low of 0.140 Ratio in 2022. BJ: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period.;UNAIDS estimates.;Weighted average;This is an age-disaggregated indicator for Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 0.140 2022 | yearly | 1990 - 2022 |
View Benin's BJ: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 from 1990 to 2022 in the chart:
BJ: Incidence of Malaria: per 1,000 Population at Risk
BJ: Incidence of Malaria: per 1,000 Population at Risk data was reported at 383.451 Number in 2022. This stayed constant from the previous number of 383.451 Number for 2021. BJ: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 412.446 Number from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 494.039 Number in 2005 and a record low of 364.118 Number in 2013. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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, World malaria report and Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.3.3[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 383.451 2022 | yearly | 2000 - 2022 |
View Benin's BJ: Incidence of Malaria: per 1,000 Population at Risk from 2000 to 2022 in the chart:
BJ: Incidence of Tuberculosis: per 100,000 People
BJ: Incidence of Tuberculosis: per 100,000 People data was reported at 51.000 Ratio in 2023. This records a decrease from the previous number of 52.000 Ratio for 2022. BJ: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 66.500 Ratio from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 86.000 Ratio in 2000 and a record low of 51.000 Ratio in 2023. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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;Aggregate data by groups are computed based on the groupings for the World Bank fiscal year in which the data was released by the World Health Organization. This is the Sustainable Development Goal indicator 3.3.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 51.000 2023 | yearly | 2000 - 2023 |
View Benin's BJ: Incidence of Tuberculosis: per 100,000 People from 2000 to 2023 in the chart:
BJ: Intentional Homicides: per 100,000 People
BJ: Intentional Homicides: per 100,000 People data was reported at 1.127 Ratio in 2017. BJ: Intentional Homicides: per 100,000 People data is updated yearly, averaging 1.127 Ratio from Dec 2017 (Median) to 2017, with 1 observations. The data reached an all-time high of 1.127 Ratio in 2017 and a record low of 1.127 Ratio in 2017. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 |
|---|---|---|
| 1.127 2017 | yearly | 2017 - 2017 |
View Benin's BJ: Intentional Homicides: per 100,000 People from 2017 to 2017 in the chart:
BJ: Life Expectancy at Birth: Female
BJ: Life Expectancy at Birth: Female data was reported at 61.676 Year in 2022. This records an increase from the previous number of 61.445 Year for 2021. BJ: Life Expectancy at Birth: Female data is updated yearly, averaging 56.378 Year from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 61.858 Year in 2019 and a record low of 38.971 Year in 1960. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 61.676 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Life Expectancy at Birth: Female from 1960 to 2022 in the chart:
BJ: Life Expectancy at Birth: Male
BJ: Life Expectancy at Birth: Male data was reported at 58.265 Year in 2022. This records an increase from the previous number of 58.221 Year for 2021. BJ: Life Expectancy at Birth: Male data is updated yearly, averaging 50.894 Year from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 59.050 Year in 2019 and a record low of 37.377 Year in 1960. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 58.265 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Life Expectancy at Birth: Male from 1960 to 2022 in the chart:
BJ: Life Expectancy at Birth: Total
BJ: Life Expectancy at Birth: Total data was reported at 59.954 Year in 2022. This records an increase from the previous number of 59.821 Year for 2021. BJ: Life Expectancy at Birth: Total data is updated yearly, averaging 53.624 Year from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 60.454 Year in 2019 and a record low of 38.181 Year in 1960. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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: 2022 Revision; or derived from male and female life expectancy at birth from sources such as: (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 59.954 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Life Expectancy at Birth: Total from 1960 to 2022 in the chart:
BJ: Lifetime Risk Of Maternal Death
BJ: Lifetime Risk Of Maternal Death data was reported at 2.745 % in 2020. This records an increase from the previous number of 2.738 % for 2019. BJ: Lifetime Risk Of Maternal Death data is updated yearly, averaging 2.982 % from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 3.459 % in 2012 and a record low of 2.702 % in 2007. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.745 2020 | yearly | 2000 - 2020 |
View Benin's BJ: Lifetime Risk Of Maternal Death from 2000 to 2020 in the chart:
BJ: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
BJ: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 36.000 NA in 2020. This records a decrease from the previous number of 37.000 NA for 2019. BJ: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 34.000 NA from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 37.000 NA in 2019 and a record low of 29.000 NA in 2014. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 49.000 2017 | yearly | 2000 - 2017 |
View Benin's BJ: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 2000 to 2017 in the chart:
BJ: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
BJ: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 523.000 Ratio in 2020. This records an increase from the previous number of 522.000 Ratio for 2019. BJ: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 523.000 Ratio from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 625.000 Ratio in 2012 and a record low of 469.000 Ratio in 2000. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).;WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023;Weighted average;This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator (3.1.1) for monitoring maternal health.
| Last | Frequency | Range |
|---|---|---|
| 523.000 2020 | yearly | 2000 - 2020 |
View Benin's BJ: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 2000 to 2020 in the chart:
BJ: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
BJ: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 512.000 Ratio in 2014. This records a decrease from the previous number of 541.000 Ratio for 2006. BJ: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 526.500 Ratio from Dec 1992 (Median) to 2014, with 4 observations. The data reached an all-time high of 693.000 Ratio in 1996 and a record low of 317.000 Ratio in 1992. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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 country data compiled, adjusted and used in the estimation model by the Maternal Mortality Estimation Inter-Agency Group (MMEIG). The country data were compiled from the following sources: civil registration and vital statistics; specialized studies on maternal mortality; population based surveys and censuses; other available data sources including data from surveillance sites.;;
| Last | Frequency | Range |
|---|---|---|
| 512.000 2014 | yearly | 1992 - 2014 |
View Benin's BJ: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 1992 to 2014 in the chart:
BJ: Mortality Caused by Road Traffic Injury: per 100,000 People
BJ: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 26.800 Number in 2019. This records a decrease from the previous number of 26.900 Number for 2018. BJ: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 27.750 Number from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 28.900 Number in 2005 and a record low of 26.800 Number in 2019. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.6.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 26.800 2019 | yearly | 2000 - 2019 |
View Benin's BJ: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2019 in the chart:
BJ: Mortality Rate: Adult: Female: per 1000 Female Adults
BJ: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 246.828 Ratio in 2022. This records a decrease from the previous number of 249.345 Ratio for 2021. BJ: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 258.765 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 434.205 Ratio in 1960 and a record low of 239.831 Ratio in 2019. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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: 2022 Revision. (2) HMD. Human Mortality Database. Max Planck Institute for Demographic Research (Germany), University of California, Berkeley (USA), and French Institute for Demographic Studies (France). Available at www.mortality.org.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 246.828 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2022 in the chart:
BJ: Mortality Rate: Adult: Male: per 1000 Male Adults
BJ: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 301.966 Ratio in 2022. This records a decrease from the previous number of 302.469 Ratio for 2021. BJ: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 341.190 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 458.537 Ratio in 1960 and a record low of 282.252 Ratio in 2018. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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: 2022 Revision. (2) HMD. Human Mortality Database. Max Planck Institute for Demographic Research (Germany), University of California, Berkeley (USA), and French Institute for Demographic Studies (France). Available at www.mortality.org.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 301.966 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2022 in the chart:
BJ: Mortality Rate: Infant: per 1000 Live Births
BJ: Mortality Rate: Infant: per 1000 Live Births data was reported at 53.600 Ratio in 2022. This records a decrease from the previous number of 55.000 Ratio for 2021. BJ: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 102.000 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 184.000 Ratio in 1960 and a record low of 53.600 Ratio in 2022. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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. 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 |
|---|---|---|
| 53.600 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Mortality Rate: Infant: per 1000 Live Births from 1960 to 2022 in the chart:
BJ: Mortality Rate: Neonatal: per 1000 Live Births
BJ: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 28.600 Ratio in 2022. This records a decrease from the previous number of 29.100 Ratio for 2021. BJ: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 44.300 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 64.100 Ratio in 1960 and a record low of 28.600 Ratio in 2022. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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. 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. This is the Sustainable Development Goal indicator 3.2.2 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 28.600 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Mortality Rate: Neonatal: per 1000 Live Births from 1960 to 2022 in the chart:
BJ: Mortality Rate: Under-5: Female: per 1000 Live Births
BJ: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 74.800 Ratio in 2022. This records a decrease from the previous number of 77.000 Ratio for 2021. BJ: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 160.900 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 296.900 Ratio in 1960 and a record low of 74.800 Ratio in 2022. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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. 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. This is a sex-disaggregated indicator for Sustainable Development Goal 3.2.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 74.800 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Mortality Rate: Under-5: Female: per 1000 Live Births from 1960 to 2022 in the chart:
BJ: Mortality Rate: Under-5: Male: per 1000 Live Births
BJ: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 86.500 Ratio in 2022. This records a decrease from the previous number of 89.200 Ratio for 2021. BJ: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 174.900 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 321.300 Ratio in 1960 and a record low of 86.500 Ratio in 2022. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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. 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. This is a sex-disaggregated indicator for Sustainable Development Goal 3.2.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 86.500 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Mortality Rate: Under-5: Male: per 1000 Live Births from 1960 to 2022 in the chart:
BJ: Mortality Rate: Under-5: per 1000 Live Births
BJ: Mortality Rate: Under-5: per 1000 Live Births data was reported at 80.800 Ratio in 2022. This records a decrease from the previous number of 83.300 Ratio for 2021. BJ: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 168.100 Ratio from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 309.400 Ratio in 1960 and a record low of 80.800 Ratio in 2022. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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. 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. This is the Sustainable Development Goal indicator 3.2.1[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 80.800 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Mortality Rate: Under-5: per 1000 Live Births from 1960 to 2022 in the chart:
BJ: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
BJ: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 22.600 % in 2019. This records a decrease from the previous number of 22.900 % for 2018. BJ: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 24.100 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 25.300 % in 2002 and a record low of 22.600 % in 2019. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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;This is the Sustainable Development Goal indicator 3.4.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 22.600 2019 | yearly | 2000 - 2019 |
View Benin's BJ: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2019 in the chart:
BJ: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14)
BJ: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 1,500.000 Number in 2022. This records a decrease from the previous number of 1,800.000 Number for 2021. BJ: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 5,800.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 8,600.000 Number in 1996 and a record low of 1,500.000 Number in 2022. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 1,500.000 2022 | yearly | 1990 - 2022 |
View Benin's BJ: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) from 1990 to 2022 in the chart:
BJ: Newly Infected with HIV: Adults: Aged 15-24
BJ: Newly Infected with HIV: Adults: Aged 15-24 data was reported at 500.000 Number in 2022. This stayed constant from the previous number of 500.000 Number for 2021. BJ: Newly Infected with HIV: Adults: Aged 15-24 data is updated yearly, averaging 1,700.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 2,800.000 Number in 1995 and a record low of 500.000 Number in 2022. BJ: Newly Infected with HIV: Adults: Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Number of young people (ages 15-24) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 500.000 2022 | yearly | 1990 - 2022 |
View Benin's BJ: Newly Infected with HIV: Adults: Aged 15-24 from 1990 to 2022 in the chart:
BJ: Newly Infected with HIV: Adults: Aged 15-49
BJ: Newly Infected with HIV: Adults: Aged 15-49 data was reported at 1,000.000 Number in 2022. This stayed constant from the previous number of 1,000.000 Number for 2021. BJ: Newly Infected with HIV: Adults: Aged 15-49 data is updated yearly, averaging 3,700.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 6,200.000 Number in 1995 and a record low of 1,000.000 Number in 2022. BJ: Newly Infected with HIV: Adults: Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15-49) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 1,000.000 2022 | yearly | 1990 - 2022 |
View Benin's BJ: Newly Infected with HIV: Adults: Aged 15-49 from 1990 to 2022 in the chart:
BJ: Newly Infected with HIV: Children: Aged 0-14
BJ: Newly Infected with HIV: Children: Aged 0-14 data was reported at 640.000 Number in 2022. This records a decrease from the previous number of 830.000 Number for 2021. BJ: Newly Infected with HIV: Children: Aged 0-14 data is updated yearly, averaging 2,000.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 2,500.000 Number in 2005 and a record low of 640.000 Number in 2022. BJ: Newly Infected with HIV: Children: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Number of children (ages 0-14) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 640.000 2022 | yearly | 1990 - 2022 |
View Benin's BJ: Newly Infected with HIV: Children: Aged 0-14 from 1990 to 2022 in the chart:
BJ: Number of Death: Infant
BJ: Number of Death: Infant data was reported at 25,442.000 Person in 2022. This records a decrease from the previous number of 25,773.000 Person for 2021. BJ: Number of Death: Infant data is updated yearly, averaging 23,649.000 Person from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 26,582.000 Person in 2017 and a record low of 19,978.000 Person in 1960. BJ: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: 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;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 |
|---|---|---|
| 25,442.000 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Number of Death: Infant from 1960 to 2022 in the chart:
BJ: Number of Death: Neonatal
BJ: Number of Death: Neonatal data was reported at 13,786.000 Person in 2022. This records a decrease from the previous number of 13,853.000 Person for 2021. BJ: Number of Death: Neonatal data is updated yearly, averaging 10,562.000 Person from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 13,943.000 Person in 2019 and a record low of 7,261.000 Person in 1960. BJ: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: 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;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. This indicator is related to Sustainable Development Goal 3.2.2 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 13,786.000 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Number of Death: Neonatal from 1960 to 2022 in the chart:
BJ: Number of Death: Under-5
BJ: Number of Death: Under-5 data was reported at 37,943.000 Person in 2022. This records a decrease from the previous number of 38,577.000 Person for 2021. BJ: Number of Death: Under-5 data is updated yearly, averaging 38,115.000 Person from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 40,006.000 Person in 2017 and a record low of 33,067.000 Person in 1960. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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;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 |
|---|---|---|
| 37,943.000 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Number of Death: Under-5 from 1960 to 2022 in the chart:
BJ: Number of Maternal Death
BJ: Number of Maternal Death data was reported at 2,500.000 Person in 2020. This records an increase from the previous number of 2,400.000 Person for 2019. BJ: Number of Maternal Death data is updated yearly, averaging 2,200.000 Person from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 2,600.000 Person in 2017 and a record low of 1,400.000 Person in 2001. BJ: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: 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 UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023;Sum;
| Last | Frequency | Range |
|---|---|---|
| 2,500.000 2020 | yearly | 2000 - 2020 |
View Benin's BJ: Number of Maternal Death from 2000 to 2020 in the chart:
BJ: Nurses and Midwives: per 1000 People
BJ: Nurses and Midwives: per 1000 People data was reported at 0.291 Ratio in 2019. This records a decrease from the previous number of 0.374 Ratio for 2018. BJ: Nurses and Midwives: per 1000 People data is updated yearly, averaging 0.565 Ratio from Dec 2004 (Median) to 2019, with 9 observations. The data reached an all-time high of 0.800 Ratio in 2008 and a record low of 0.291 Ratio in 2019. BJ: 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 Benin – Table BJ.World Bank.WDI: Social: 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;This is the Sustainable Development Goal indicator 3.c.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 0.291 2019 | yearly | 2004 - 2019 |
View Benin's BJ: Nurses and Midwives: per 1000 People from 2004 to 2019 in the chart:
BJ: Physicians: per 1000 People
BJ: Physicians: per 1000 People data was reported at 0.065 Ratio in 2019. This records a decrease from the previous number of 0.079 Ratio for 2018. BJ: Physicians: per 1000 People data is updated yearly, averaging 0.058 Ratio from Dec 1960 (Median) to 2019, with 21 observations. The data reached an all-time high of 0.079 Ratio in 2018 and a record low of 0.030 Ratio in 1965. BJ: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Physicians include generalist and specialist medical practitioners.;World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.;Weighted average;This is the Sustainable Development Goal indicator 3.c.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 0.065 2019 | yearly | 1960 - 2019 |
View Benin's BJ: Physicians: per 1000 People from 1960 to 2019 in the chart:
BJ: Pregnant Women Receiving Prenatal Care
BJ: Pregnant Women Receiving Prenatal Care data was reported at 83.200 % in 2018. This records an increase from the previous number of 82.800 % for 2014. BJ: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 83.000 % from Dec 1996 (Median) to 2018, with 6 observations. The data reached an all-time high of 84.100 % in 2006 and a record low of 77.800 % in 1996. BJ: Pregnant Women Receiving Prenatal Care data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.
| Last | Frequency | Range |
|---|---|---|
| 83.200 2018 | yearly | 1996 - 2018 |
View Benin's BJ: Pregnant Women Receiving Prenatal Care from 1996 to 2018 in the chart:
BJ: Prevalence of Anemia among Children: % of Children Aged 6-59 Months
BJ: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data was reported at 71.000 % in 2019. This records a decrease from the previous number of 71.400 % for 2018. BJ: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data is updated yearly, averaging 73.550 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 80.300 % in 2000 and a record low of 71.000 % in 2019. BJ: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of anemia, children ages 6-59 months, is the percentage of children ages 6-59 months whose hemoglobin level is less than 110 grams per liter, adjusted for altitude.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;Weighted average;Anemia is defined as a low blood haemoglobin concentration. Anaemia may result from a number of causes, with the most significant contributor being iron deficiency. Anaemia resulting from iron deficiency adversely affects cognitive and motor development and causes fatigue and low productivity. Children under age 5 and pregnant women have the highest risk for anemia.
| Last | Frequency | Range |
|---|---|---|
| 71.000 2019 | yearly | 2000 - 2019 |
View Benin's BJ: Prevalence of Anemia among Children: % of Children Aged 6-59 Months from 2000 to 2019 in the chart:
BJ: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49
BJ: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data was reported at 54.800 % in 2019. This records an increase from the previous number of 54.700 % for 2018. BJ: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data is updated yearly, averaging 56.700 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 62.100 % in 2000 and a record low of 54.600 % in 2017. BJ: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of anemia, non-pregnant women, is the percentage of non-pregnant women whose hemoglobin level is less than 120 grams per liter at sea level.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 54.800 2019 | yearly | 2000 - 2019 |
View Benin's BJ: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 from 2000 to 2019 in the chart:
BJ: Prevalence of Anemia among Pregnant Women: %
BJ: Prevalence of Anemia among Pregnant Women: % data was reported at 58.100 % in 2019. This records a decrease from the previous number of 58.200 % for 2018. BJ: Prevalence of Anemia among Pregnant Women: % data is updated yearly, averaging 59.650 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 61.600 % in 2000 and a record low of 58.100 % in 2019. BJ: Prevalence of Anemia among Pregnant Women: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of anemia, pregnant women, is the percentage of pregnant women whose hemoglobin level is less than 110 grams per liter at sea level.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 58.100 2019 | yearly | 2000 - 2019 |
View Benin's BJ: Prevalence of Anemia among Pregnant Women: % from 2000 to 2019 in the chart:
BJ: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49
BJ: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 55.200 % in 2019. This records an increase from the previous number of 55.100 % for 2018. BJ: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 57.050 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 62.100 % in 2000 and a record low of 55.000 % in 2017. BJ: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 55.200 2019 | yearly | 2000 - 2019 |
View Benin's BJ: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 from 2000 to 2019 in the chart:
BJ: Prevalence of Current Tobacco Use: % of Adults
BJ: Prevalence of Current Tobacco Use: % of Adults data was reported at 6.900 % in 2020. This records a decrease from the previous number of 7.200 % for 2019. BJ: Prevalence of Current Tobacco Use: % of Adults data is updated yearly, averaging 8.600 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 16.700 % in 2000 and a record low of 6.900 % in 2020. BJ: Prevalence of Current Tobacco Use: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. The percentage of the population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, total (ages 15+) The previous indicator excluded smokeless tobacco use, while the current indicator includes. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 6.900 2020 | yearly | 2000 - 2020 |
View Benin's BJ: Prevalence of Current Tobacco Use: % of Adults from 2000 to 2020 in the chart:
BJ: Prevalence of Current Tobacco Use: Females: % of Female Adults
BJ: Prevalence of Current Tobacco Use: Females: % of Female Adults data was reported at 1.900 % in 2020. This records a decrease from the previous number of 2.000 % for 2019. BJ: Prevalence of Current Tobacco Use: Females: % of Female Adults data is updated yearly, averaging 2.400 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 5.100 % in 2000 and a record low of 1.900 % in 2020. BJ: Prevalence of Current Tobacco Use: Females: % of Female Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. The percentage of the female population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, females (% of adults) The previous indicator excluded smokeless tobacco use, while the current indicator includes it. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 1.900 2020 | yearly | 2000 - 2020 |
View Benin's BJ: Prevalence of Current Tobacco Use: Females: % of Female Adults from 2000 to 2020 in the chart:
BJ: Prevalence of Current Tobacco Use: Males: % of Male Adults
BJ: Prevalence of Current Tobacco Use: Males: % of Male Adults data was reported at 11.800 % in 2020. This records a decrease from the previous number of 12.300 % for 2019. BJ: Prevalence of Current Tobacco Use: Males: % of Male Adults data is updated yearly, averaging 14.700 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 28.300 % in 2000 and a record low of 11.800 % in 2020. BJ: Prevalence of Current Tobacco Use: Males: % of Male Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. The percentage of the male population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, males (% of adults) The previous indicator excluded smokeless tobacco use, while the current indicator includes it. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 11.800 2020 | yearly | 2000 - 2020 |
View Benin's BJ: Prevalence of Current Tobacco Use: Males: % of Male Adults from 2000 to 2020 in the chart:
BJ: Prevalence of HIV: Female: % Aged 15-24
BJ: Prevalence of HIV: Female: % Aged 15-24 data was reported at 0.400 % in 2022. This stayed constant from the previous number of 0.400 % for 2021. BJ: Prevalence of HIV: Female: % Aged 15-24 data is updated yearly, averaging 0.800 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 1.400 % in 1997 and a record low of 0.400 % in 2022. BJ: Prevalence of HIV: Female: % Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.;UNAIDS estimates.;Weighted average;In many developing countries most new infections occur in young adults, with young women especially vulnerable.
| Last | Frequency | Range |
|---|---|---|
| 0.400 2022 | yearly | 1990 - 2022 |
View Benin's BJ: Prevalence of HIV: Female: % Aged 15-24 from 1990 to 2022 in the chart:
BJ: Prevalence of HIV: Male: % Aged 15-24
BJ: Prevalence of HIV: Male: % Aged 15-24 data was reported at 0.200 % in 2022. This stayed constant from the previous number of 0.200 % for 2021. BJ: Prevalence of HIV: Male: % Aged 15-24 data is updated yearly, averaging 0.300 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.600 % in 1997 and a record low of 0.200 % in 2022. BJ: Prevalence of HIV: Male: % Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group.;UNAIDS estimates.;Weighted average;In many developing countries most new infections occur in young adults, with young women being especially vulnerable.
| Last | Frequency | Range |
|---|---|---|
| 0.200 2022 | yearly | 1990 - 2022 |
View Benin's BJ: Prevalence of HIV: Male: % Aged 15-24 from 1990 to 2022 in the chart:
BJ: Prevalence of HIV: Total: % of Population Aged 15-49
BJ: Prevalence of HIV: Total: % of Population Aged 15-49 data was reported at 0.800 % in 2022. This stayed constant from the previous number of 0.800 % for 2021. BJ: Prevalence of HIV: Total: % of Population Aged 15-49 data is updated yearly, averaging 1.200 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 1.600 % in 2000 and a record low of 0.600 % in 1990. BJ: Prevalence of HIV: Total: % of Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.;UNAIDS estimates.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.800 2022 | yearly | 1990 - 2022 |
View Benin's BJ: Prevalence of HIV: Total: % of Population Aged 15-49 from 1990 to 2022 in the chart:
BJ: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population
BJ: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data was reported at 63.300 % in 2022. This records an increase from the previous number of 62.700 % for 2021. BJ: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 63.550 % from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 66.300 % in 2017 and a record low of 55.000 % in 2015. BJ: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as moderately or severely food insecure. A household is classified as moderately or severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to low quality diets and might have been forced to also reduce the quantity of food they would normally eat because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;
| Last | Frequency | Range |
|---|---|---|
| 63.300 2022 | yearly | 2015 - 2022 |
View Benin's BJ: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population from 2015 to 2022 in the chart:
BJ: Prevalence of Overweight: Weight for Height: % of Children Under 5
BJ: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 2.900 % in 2021. This records an increase from the previous number of 1.900 % for 2018. BJ: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 2.200 % from Dec 1996 (Median) to 2021, with 6 observations. The data reached an all-time high of 3.100 % in 2001 and a record low of 1.500 % in 2008. BJ: Prevalence of Overweight: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;See SH.STA.OWGH.ME.ZS for aggregation;Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues.
| Last | Frequency | Range |
|---|---|---|
| 2.900 2021 | yearly | 1996 - 2021 |
View Benin's BJ: Prevalence of Overweight: Weight for Height: % of Children Under 5 from 1996 to 2021 in the chart:
BJ: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate
BJ: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 2.200 % in 2022. This records an increase from the previous number of 2.100 % for 2021. BJ: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 1.900 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 3.400 % in 2003 and a record low of 1.600 % in 2013. BJ: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.
| Last | Frequency | Range |
|---|---|---|
| 2.200 2022 | yearly | 2000 - 2022 |
View Benin's BJ: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate from 2000 to 2022 in the chart:
BJ: Prevalence of Severe Food Insecurity in the Population: % of population
BJ: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 15.800 % in 2022. This records an increase from the previous number of 15.400 % for 2021. BJ: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 14.600 % from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 15.800 % in 2022 and a record low of 10.400 % in 2015. BJ: Prevalence of Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;
| Last | Frequency | Range |
|---|---|---|
| 15.800 2022 | yearly | 2015 - 2022 |
View Benin's BJ: Prevalence of Severe Food Insecurity in the Population: % of population from 2015 to 2022 in the chart:
BJ: Prevalence of Severe Wasting: Weight for Height: % of Children under 5
BJ: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data was reported at 2.400 % in 2021. This records an increase from the previous number of 1.100 % for 2018. BJ: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data is updated yearly, averaging 1.750 % from Dec 1996 (Median) to 2021, with 6 observations. The data reached an all-time high of 5.500 % in 1996 and a record low of 0.900 % in 2014. BJ: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;Linear mixed-effect model estimates;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 2.400 2021 | yearly | 1996 - 2021 |
View Benin's BJ: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 from 1996 to 2021 in the chart:
BJ: Prevalence of Stunting: Height for Age: % of Children Under 5
BJ: Prevalence of Stunting: Height for Age: % of Children Under 5 data was reported at 34.100 % in 2021. This records an increase from the previous number of 32.200 % for 2018. BJ: Prevalence of Stunting: Height for Age: % of Children Under 5 data is updated yearly, averaging 34.050 % from Dec 1996 (Median) to 2021, with 6 observations. The data reached an all-time high of 37.400 % in 2008 and a record low of 32.200 % in 2018. BJ: Prevalence of Stunting: Height for Age: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;See SH.STA.STNT.ME.ZS for aggregation;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 34.100 2021 | yearly | 1996 - 2021 |
View Benin's BJ: Prevalence of Stunting: Height for Age: % of Children Under 5 from 1996 to 2021 in the chart:
BJ: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate
BJ: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 30.400 % in 2022. This records a decrease from the previous number of 30.900 % for 2021. BJ: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 34.500 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 36.400 % in 2007 and a record low of 30.400 % in 2022. BJ: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.
| Last | Frequency | Range |
|---|---|---|
| 31.300 2020 | yearly | 2000 - 2020 |
View Benin's BJ: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate from 2000 to 2020 in the chart:
BJ: Prevalence of Undernourishment: % of Population
BJ: Prevalence of Undernourishment: % of Population data was reported at 10.300 % in 2022. This records a decrease from the previous number of 10.400 % for 2021. BJ: Prevalence of Undernourishment: % of Population data is updated yearly, averaging 10.500 % from Dec 2001 (Median) to 2022, with 22 observations. The data reached an all-time high of 17.200 % in 2001 and a record low of 9.200 % in 2015. BJ: Prevalence of Undernourishment: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of undernourishments is the percentage of the population whose habitual food consumption is insufficient to provide the dietary energy levels that are required to maintain a normal active and healthy life. Data showing as 2.5 may signify a prevalence of undernourishment below 2.5%.;Food and Agriculture Organization (http://www.fao.org/faostat/en/#home).;Weighted average;This is the Sustainable Development Goal indicator 2.1.1[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 10.300 2022 | yearly | 2001 - 2022 |
View Benin's BJ: Prevalence of Undernourishment: % of Population from 2001 to 2022 in the chart:
BJ: Prevalence of Underweight: Weight for Age: % of Children Under 5
BJ: Prevalence of Underweight: Weight for Age: % of Children Under 5 data was reported at 19.600 % in 2021. This records an increase from the previous number of 16.800 % for 2018. BJ: Prevalence of Underweight: Weight for Age: % of Children Under 5 data is updated yearly, averaging 18.750 % from Dec 1996 (Median) to 2021, with 6 observations. The data reached an all-time high of 25.600 % in 1996 and a record low of 16.800 % in 2018. BJ: Prevalence of Underweight: Weight for Age: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;Linear mixed-effect model estimates;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 19.600 2021 | yearly | 1996 - 2021 |
View Benin's BJ: Prevalence of Underweight: Weight for Age: % of Children Under 5 from 1996 to 2021 in the chart:
BJ: Prevalence of Wasting: Weight for Height: % of Children Under 5
BJ: Prevalence of Wasting: Weight for Height: % of Children Under 5 data was reported at 8.300 % in 2021. This records an increase from the previous number of 5.000 % for 2018. BJ: Prevalence of Wasting: Weight for Height: % of Children Under 5 data is updated yearly, averaging 6.750 % from Dec 1996 (Median) to 2021, with 6 observations. The data reached an all-time high of 15.100 % in 1996 and a record low of 4.500 % in 2014. BJ: Prevalence of Wasting: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;Linear mixed-effect model estimates;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 8.300 2021 | yearly | 1996 - 2021 |
View Benin's BJ: Prevalence of Wasting: Weight for Height: % of Children Under 5 from 1996 to 2021 in the chart:
BJ: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk
BJ: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data was reported at 47.400 % in 2019. This records an increase from the previous number of 45.800 % for 2018. BJ: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data is updated yearly, averaging 52.900 % from Dec 2003 (Median) to 2019, with 14 observations. The data reached an all-time high of 58.000 % in 2004 and a record low of 45.800 % in 2018. BJ: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. The proportion of population at risk of catastrophic expenditure when surgical care is required. Catastrophic expenditure is defined as direct out of pocket payments for surgical and anaesthesia care exceeding 10% of total income.;The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/);Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 47.400 2019 | yearly | 2003 - 2019 |
View Benin's BJ: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk from 2003 to 2019 in the chart:
BJ: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk
BJ: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data was reported at 63.900 % in 2019. This records a decrease from the previous number of 64.000 % for 2018. BJ: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data is updated yearly, averaging 66.300 % from Dec 2003 (Median) to 2019, with 14 observations. The data reached an all-time high of 67.700 % in 2006 and a record low of 63.900 % in 2019. BJ: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. The proportion of population at risk of impoverishing expenditure when surgical care is required. Impoverishing expenditure is defined as direct out of pocket payments for surgical and anaesthesia care which drive people below a poverty threshold (using a threshold of $2.15 PPP/day).;The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/);Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 63.900 2019 | yearly | 2003 - 2019 |
View Benin's BJ: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk from 2003 to 2019 in the chart:
BJ: Specialist Surgical Workforce: per 100,000 population
BJ: Specialist Surgical Workforce: per 100,000 population data was reported at 1.860 Number in 2014. BJ: Specialist Surgical Workforce: per 100,000 population data is updated yearly, averaging 1.860 Number from Dec 2014 (Median) to 2014, with 1 observations. The data reached an all-time high of 1.860 Number in 2014 and a record low of 1.860 Number in 2014. BJ: Specialist Surgical Workforce: per 100,000 population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Specialist surgical workforce is the number of specialist surgical, anaesthetic, and obstetric (SAO) providers who are working in each country per 100,000 population.;Data collected by the Lancet Commission on Global Surgery (www.lancetglobalsurgery.org); Data collected by WHO Collaborating Centre for Surgery and Public Health at Lund University from various sources including Ministries of Health or equivalent national regulatory bodies, national official entities such as medical councils, Eurostat, OECD, WHO Euro Health For All Database, WHO EURO Technical resources for health Database; BMJ Glob Health.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.860 2014 | yearly | 2014 - 2014 |
View Benin's BJ: Specialist Surgical Workforce: per 100,000 population from 2014 to 2014 in the chart:
BJ: Suicide Mortality Rate: per 100,000 Population
BJ: Suicide Mortality Rate: per 100,000 Population data was reported at 7.800 Ratio in 2019. This records a decrease from the previous number of 7.900 Ratio for 2018. BJ: Suicide Mortality Rate: per 100,000 Population data is updated yearly, averaging 8.450 Ratio from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 8.800 Ratio in 2004 and a record low of 7.800 Ratio in 2019. BJ: Suicide Mortality Rate: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.4.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 7.800 2019 | yearly | 2000 - 2019 |
View Benin's BJ: Suicide Mortality Rate: per 100,000 Population from 2000 to 2019 in the chart:
BJ: Survival To Age 65: Female: % of Cohort
BJ: Survival To Age 65: Female: % of Cohort data was reported at 60.718 % in 2022. This records an increase from the previous number of 58.475 % for 2021. BJ: Survival To Age 65: Female: % of Cohort data is updated yearly, averaging 55.302 % from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 60.718 % in 2022 and a record low of 33.732 % in 1960. BJ: Survival To Age 65: Female: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 60.718 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Survival To Age 65: Female: % of Cohort from 1960 to 2022 in the chart:
BJ: Survival To Age 65: Male: % of Cohort
BJ: Survival To Age 65: Male: % of Cohort data was reported at 53.416 % in 2022. This records an increase from the previous number of 53.346 % for 2021. BJ: Survival To Age 65: Male: % of Cohort data is updated yearly, averaging 45.094 % from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 55.935 % in 2019 and a record low of 28.001 % in 1960. BJ: Survival To Age 65: Male: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.;United Nations Population Division. World Population Prospects: 2022 Revision.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 53.416 2022 | yearly | 1960 - 2022 |
View Benin's BJ: Survival To Age 65: Male: % of Cohort from 1960 to 2022 in the chart:
BJ: Teenage Mothers
BJ: Teenage Mothers data was reported at 20.100 % in 2018. This records an increase from the previous number of 16.500 % for 2012. BJ: Teenage Mothers data is updated yearly, averaging 21.400 % from Dec 1996 (Median) to 2018, with 5 observations. The data reached an all-time high of 26.000 % in 1996 and a record low of 16.500 % in 2012. BJ: Teenage Mothers data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant.;Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 20.100 2018 | yearly | 1996 - 2018 |
View Benin's BJ: Teenage Mothers from 1996 to 2018 in the chart:
BJ: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+
BJ: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ data was reported at 8.346 l/Person in 2019. This records an increase from the previous number of 8.098 l/Person for 2015. BJ: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ data is updated yearly, averaging 6.613 l/Person from Dec 2000 (Median) to 2019, with 5 observations. The data reached an all-time high of 8.346 l/Person in 2019 and a record low of 2.390 l/Person in 2005. BJ: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: 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;This is the Sustainable Development Goal indicator 3.5.2[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 8.346 2019 | yearly | 2000 - 2019 |
View Benin's BJ: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ from 2000 to 2019 in the chart:
BJ: Tuberculosis Case Detection Rate: All Forms
BJ: Tuberculosis Case Detection Rate: All Forms data was reported at 60.000 % in 2022. This records an increase from the previous number of 54.000 % for 2021. BJ: Tuberculosis Case Detection Rate: All Forms data is updated yearly, averaging 59.000 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 64.000 % in 2011 and a record low of 44.000 % in 2001. BJ: Tuberculosis Case Detection Rate: All Forms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Tuberculosis case detection rate (all forms) is the number of new and relapse tuberculosis cases notified to WHO in a given year, divided by WHO's estimate of the number of incident tuberculosis cases for the same year, expressed as a percentage. 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;Aggregate data by groups are computed based on the groupings for the World Bank fiscal year in which the data was released by the World Health Organization.
| Last | Frequency | Range |
|---|---|---|
| 60.000 2022 | yearly | 2000 - 2022 |
View Benin's BJ: Tuberculosis Case Detection Rate: All Forms from 2000 to 2022 in the chart:
BJ: Tuberculosis Treatment Success Rate: % of New Cases
BJ: Tuberculosis Treatment Success Rate: % of New Cases data was reported at 90.000 % in 2021. This stayed constant from the previous number of 90.000 % for 2020. BJ: Tuberculosis Treatment Success Rate: % of New Cases data is updated yearly, averaging 87.500 % from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 90.000 % in 2021 and a record low of 78.000 % in 2000. BJ: Tuberculosis Treatment Success Rate: % of New Cases data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Tuberculosis treatment success rate is the percentage of all new tuberculosis cases (or new and relapse cases for some countries) registered under a national tuberculosis control programme in a given year that successfully completed treatment, with or without bacteriological evidence of success ('cured' and 'treatment completed' respectively).;World Health Organization, Global Tuberculosis Report.;Weighted average;Aggregate data by groups are computed based on the groupings for the World Bank fiscal year in which the data was released by the World Health Organization.
| Last | Frequency | Range |
|---|---|---|
| 90.000 2021 | yearly | 2000 - 2021 |
View Benin's BJ: Tuberculosis Treatment Success Rate: % of New Cases from 2000 to 2021 in the chart:
BJ: Unmet Need for Contraception: % of Married Women Aged 15-49
BJ: Unmet Need for Contraception: % of Married Women Aged 15-49 data was reported at 32.300 % in 2018. This records a decrease from the previous number of 33.141 % for 2014. BJ: Unmet Need for Contraception: % of Married Women Aged 15-49 data is updated yearly, averaging 30.100 % from Dec 1996 (Median) to 2018, with 6 observations. The data reached an all-time high of 33.141 % in 2014 and a record low of 27.300 % in 2006. BJ: Unmet Need for Contraception: % of Married Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception.;Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.;Weighted average;Unmet need for contraception measures the capacity women have in achieving their desired family size and birth spacing. Many couples in developing countries want to limit or postpone childbearing but are not using effective contraception. These couples have an unmet need for contraception. Common reasons are lack of knowledge about contraceptive methods and concerns about possible side effects.
| Last | Frequency | Range |
|---|---|---|
| 32.300 2018 | yearly | 1996 - 2018 |
View Benin's BJ: Unmet Need for Contraception: % of Married Women Aged 15-49 from 1996 to 2018 in the chart:
BJ: Use of Insecticide-Treated Bed Nets: % of Under-5 Population
BJ: Use of Insecticide-Treated Bed Nets: % of Under-5 Population data was reported at 76.300 % in 2018. This records an increase from the previous number of 72.700 % for 2014. BJ: Use of Insecticide-Treated Bed Nets: % of Under-5 Population data is updated yearly, averaging 69.700 % from Dec 2001 (Median) to 2018, with 5 observations. The data reached an all-time high of 76.300 % in 2018 and a record low of 7.000 % in 2001. BJ: Use of Insecticide-Treated Bed Nets: % of Under-5 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Use of insecticide-treated bed nets refers to the percentage of children under age five who slept under an insecticide-treated bednet to prevent malaria.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 76.300 2018 | yearly | 2001 - 2018 |
View Benin's BJ: Use of Insecticide-Treated Bed Nets: % of Under-5 Population from 2001 to 2018 in the chart:
BJ: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months
BJ: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months data was reported at 7.000 % in 2020. This records a decrease from the previous number of 56.000 % for 2019. BJ: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months data is updated yearly, averaging 89.000 % from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 99.000 % in 2017 and a record low of 0.000 % in 2018. BJ: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Vitamin A supplementation refers to the percentage of children ages 6-59 months old who received at least two doses of vitamin A in the previous year.;UNICEF global databases, based on administrative reports from countries (link: https://data.unicef.org/topic/nutrition/vitamin-a-deficiency/);Weighted average;Vitamin A is essential for optimal functioning of the immune system. Vitamin A deficiency, a leading cause of blindness, also causes a greater risk of dying from a range of childhood ailments such as measles, malaria, and diarrhea. In low- and middle-income countries, where vitamin A is consumed largely in fruits and vegetables, daily per capita intake is often insufficient to meet dietary requirements. Providing young children with two high-dose vitamin A capsules a year is a safe, cost-effective, efficient strategy for eliminating vitamin A deficiency and improving child survival. Giving vitamin A to new breastfeeding mothers helps protect their children during the first few months of life. Food fortification with vitamin A is being introduced in many developing countries.
| Last | Frequency | Range |
|---|---|---|
| 7.000 2020 | yearly | 2000 - 2020 |
View Benin's BJ: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months from 2000 to 2020 in the chart:
BJ: Wanted Fertility Rate: Births per Woman
BJ: Wanted Fertility Rate: Births per Woman data was reported at 4.900 Ratio in 2018. This records an increase from the previous number of 4.000 Ratio for 2012. BJ: Wanted Fertility Rate: Births per Woman data is updated yearly, averaging 4.800 Ratio from Dec 1996 (Median) to 2018, with 5 observations. The data reached an all-time high of 5.000 Ratio in 1996 and a record low of 4.000 Ratio in 2012. BJ: Wanted Fertility Rate: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Wanted fertility rate is an estimate of what the total fertility rate would be if all unwanted births were avoided.;Demographic and Health Surveys.;Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 4.900 2018 | yearly | 1996 - 2018 |
View Benin's BJ: Wanted Fertility Rate: Births per Woman from 1996 to 2018 in the chart:
BJ: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49
BJ: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data was reported at 31.600 % in 2022. This records an increase from the previous number of 25.200 % for 2018. BJ: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data is updated yearly, averaging 34.900 % from Dec 2006 (Median) to 2022, with 4 observations. The data reached an all-time high of 41.100 % in 2006 and a record low of 25.200 % in 2018. BJ: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.;Demographic and Health Surveys compiled by United Nations Population Fund. Retrieved on February 14, 2023, from the SDG Global database API (https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html).;;This is the Sustainable Development Goal indicator 5.6.1[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 31.600 2022 | yearly | 2006 - 2022 |
View Benin's BJ: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 from 2006 to 2022 in the chart:
BJ: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49
BJ: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data was reported at 36.300 % in 2018. This records a decrease from the previous number of 48.300 % for 2012. BJ: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data is updated yearly, averaging 35.950 % from Dec 2001 (Median) to 2018, with 4 observations. The data reached an all-time high of 48.300 % in 2012 and a record low of 17.200 % in 2001. BJ: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % 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 Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Women participating in the three decisions (own health care, major household purchases, and visiting family) is the percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in all of the three decisions (own health care, large purchases and visits to family, relatives, and friends).;Demographic and Health Surveys (DHS);;
| Last | Frequency | Range |
|---|---|---|
| 36.300 2018 | yearly | 2001 - 2018 |
View Benin's BJ: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 from 2001 to 2018 in the chart:
BJ: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons
BJ: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data was reported at 31.800 % in 2018. This records an increase from the previous number of 16.200 % for 2012. BJ: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data is updated yearly, averaging 39.150 % from Dec 2001 (Median) to 2018, with 4 observations. The data reached an all-time high of 60.400 % in 2001 and a record low of 16.200 % in 2012. BJ: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 31.800 2018 | yearly | 2001 - 2018 |
View Benin's BJ: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons from 2001 to 2018 in the chart:
BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him
BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him data was reported at 20.800 % in 2018. This records an increase from the previous number of 10.600 % for 2012. BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him data is updated yearly, averaging 27.400 % from Dec 2001 (Median) to 2018, with 4 observations. The data reached an all-time high of 39.400 % in 2001 and a record low of 10.600 % in 2012. BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 20.800 2018 | yearly | 2001 - 2018 |
View Benin's BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him from 2001 to 2018 in the chart:
BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food
BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food data was reported at 13.900 % in 2018. This records an increase from the previous number of 6.000 % for 2012. BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food data is updated yearly, averaging 16.450 % from Dec 2001 (Median) to 2018, with 4 observations. The data reached an all-time high of 29.200 % in 2001 and a record low of 6.000 % in 2012. BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 13.900 2018 | yearly | 2001 - 2018 |
View Benin's BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food from 2001 to 2018 in the chart:
BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him
BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him data was reported at 21.200 % in 2018. This records an increase from the previous number of 7.700 % for 2012. BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him data is updated yearly, averaging 28.950 % from Dec 2001 (Median) to 2018, with 4 observations. The data reached an all-time high of 44.000 % in 2001 and a record low of 7.700 % in 2012. BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 21.200 2018 | yearly | 2001 - 2018 |
View Benin's BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him from 2001 to 2018 in the chart:
BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children
BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children data was reported at 22.600 % in 2018. This records an increase from the previous number of 8.800 % for 2012. BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children data is updated yearly, averaging 29.500 % from Dec 2001 (Median) to 2018, with 4 observations. The data reached an all-time high of 51.000 % in 2001 and a record low of 8.800 % in 2012. BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 22.600 2018 | yearly | 2001 - 2018 |
View Benin's BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children from 2001 to 2018 in the chart:
BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him
BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him data was reported at 12.800 % in 2018. This records an increase from the previous number of 6.500 % for 2012. BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him data is updated yearly, averaging 14.900 % from Dec 2001 (Median) to 2018, with 4 observations. The data reached an all-time high of 17.300 % in 2006 and a record low of 6.500 % in 2012. BJ: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Benin – Table BJ.World Bank.WDI: Social: Health Statistics. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him.;Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys;;
| Last | Frequency | Range |
|---|---|---|
| 12.800 2018 | yearly | 2001 - 2018 |