Congo Health Statistics
Congo CG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
CG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 2.800 NA in 2016. This records an increase from the previous number of 2.300 NA for 2010. CG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 2.550 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 2.800 NA in 2016 and a record low of 2.300 NA in 2010. CG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.800 2016 | yearly | 2010 - 2016 |
View Congo's Congo CG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Congo CG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
CG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 12.900 NA in 2016. This records an increase from the previous number of 10.600 NA for 2010. CG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 11.750 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 12.900 NA in 2016 and a record low of 10.600 NA in 2010. CG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 12.900 2016 | yearly | 2010 - 2016 |
View Congo's Congo CG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
CG: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever
CG: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data was reported at 25.000 % in 2012. This records a decrease from the previous number of 48.000 % for 2005. CG: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data is updated yearly, averaging 36.500 % from Dec 2005 (Median) to 2012, with 2 observations. The data reached an all-time high of 48.000 % in 2005 and a record low of 25.000 % in 2012. CG: 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 Congo, Republic of – Table CG.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 |
|---|---|---|
| 25.000 2012 | yearly | 2005 - 2012 |
View Congo's CG: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever from 2005 to 2012 in the chart:
CG: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24
CG: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 data was reported at 29.900 % in 2012. This records an increase from the previous number of 21.600 % for 2009. CG: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 data is updated yearly, averaging 21.600 % from Dec 2005 (Median) to 2012, with 3 observations. The data reached an all-time high of 29.900 % in 2012 and a record low of 15.700 % in 2005. CG: 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 Congo, Republic of – Table CG.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 |
|---|---|---|
| 29.900 2012 | yearly | 2005 - 2012 |
View Congo's CG: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 from 2005 to 2012 in the chart:
CG: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24
CG: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data was reported at 51.100 % in 2012. This records an increase from the previous number of 39.800 % for 2009. CG: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data is updated yearly, averaging 39.800 % from Dec 2005 (Median) to 2012, with 3 observations. The data reached an all-time high of 51.100 % in 2012 and a record low of 35.700 % in 2005. CG: 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 Congo, Republic of – Table CG.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 |
|---|---|---|
| 51.100 2012 | yearly | 2005 - 2012 |
View Congo's CG: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 from 2005 to 2012 in the chart:
CG: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
CG: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 31.700 % in 2012. This records an increase from the previous number of 19.800 % for 2005. CG: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 25.750 % from Dec 2005 (Median) to 2012, with 2 observations. The data reached an all-time high of 31.700 % in 2012 and a record low of 19.800 % in 2005. CG: 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 Congo, Republic of – Table CG.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 |
|---|---|---|
| 31.700 2012 | yearly | 2005 - 2012 |
View Congo's CG: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning from 2005 to 2012 in the chart:
Congo CG: Depth of the Food Deficit: Kilocalories per Person per Day
CG: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 206.000 kcal in 2016. This records an increase from the previous number of 196.000 kcal for 2015. CG: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 233.000 kcal from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 345.000 kcal in 1997 and a record low of 188.000 kcal in 2014. CG: Depth of the Food Deficit: Kilocalories per Person per Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.; ; Food and Agriculture Organization, Food Security Statistics.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 206.000 2016 | yearly | 1992 - 2016 |
View Congo's Congo CG: Depth of the Food Deficit: Kilocalories per Person per Day from 1992 to 2016 in the chart:
Congo CG: External Resources for Health: % of Total Expenditure on Health
CG: External Resources for Health: % of Total Expenditure on Health data was reported at 4.022 % in 2014. This records a decrease from the previous number of 5.439 % for 2013. CG: External Resources for Health: % of Total Expenditure on Health data is updated yearly, averaging 5.596 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 10.600 % in 2011 and a record low of 4.022 % in 2014. CG: External Resources for Health: % of Total Expenditure on Health data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. External resources for health are funds or services in kind that are provided by entities not part of the country in question. The resources may come from international organizations, other countries through bilateral arrangements, or foreign nongovernmental organizations. These resources are part of total health expenditure.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 4.02 2014 | yearly | 1995 - 2014 |
View Congo's Congo CG: External Resources for Health: % of Total Expenditure on Health from 1995 to 2014 in the chart:
Congo CG: Health Expenditure per Capita
CG: Health Expenditure per Capita data was reported at 161.639 USD in 2014. This records a decrease from the previous number of 163.307 USD for 2013. CG: Health Expenditure per Capita data is updated yearly, averaging 38.444 USD from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 163.307 USD in 2013 and a record low of 21.382 USD in 2001. CG: Health Expenditure per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Total health expenditure is the sum of public and private health expenditures as a ratio of total population. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation. Data are in current U.S. dollars.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 161.64 2014 | yearly | 1995 - 2014 |
View Congo's Congo CG: Health Expenditure per Capita from 1995 to 2014 in the chart:
Congo CG: Health Expenditure per Capita: PPP: 2011 Price
CG: Health Expenditure per Capita: PPP: 2011 Price data was reported at 322.633 Intl $ in 2014. This records an increase from the previous number of 302.598 Intl $ for 2013. CG: Health Expenditure per Capita: PPP: 2011 Price data is updated yearly, averaging 108.626 Intl $ from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 322.633 Intl $ in 2014 and a record low of 78.289 Intl $ in 2000. CG: Health Expenditure per Capita: PPP: 2011 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Total health expenditure is the sum of public and private health expenditures as a ratio of total population. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation. Data are in international dollars converted using 2011 purchasing power parity (PPP) rates.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 322.63 2014 | yearly | 1995 - 2014 |
View Congo's Congo CG: Health Expenditure per Capita: PPP: 2011 Price from 1995 to 2014 in the chart:
Congo CG: Health Expenditure: Private: % of GDP
CG: Health Expenditure: Private: % of GDP data was reported at 0.939 % in 2014. This records a decrease from the previous number of 1.037 % for 2013. CG: Health Expenditure: Private: % of GDP data is updated yearly, averaging 1.070 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 1.520 % in 1998 and a record low of 0.813 % in 2011. CG: Health Expenditure: Private: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.94 2014 | yearly | 1995 - 2014 |
View Congo's Congo CG: Health Expenditure: Private: % of GDP from 1995 to 2014 in the chart:
Congo CG: Health Expenditure: Public: % of GDP
CG: Health Expenditure: Public: % of GDP data was reported at 4.212 % in 2014. This records an increase from the previous number of 4.057 % for 2013. CG: Health Expenditure: Public: % of GDP data is updated yearly, averaging 1.520 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 4.212 % in 2014 and a record low of 1.141 % in 2009. CG: Health Expenditure: Public: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 4.21 2014 | yearly | 1995 - 2014 |
View Congo's Congo CG: Health Expenditure: Public: % of GDP from 1995 to 2014 in the chart:
Congo CG: Health Expenditure: Public: % of Government Expenditure
CG: Health Expenditure: Public: % of Government Expenditure data was reported at 8.706 % in 2014. This stayed constant from the previous number of 8.706 % for 2013. CG: Health Expenditure: Public: % of Government Expenditure data is updated yearly, averaging 5.326 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 8.706 % in 2014 and a record low of 3.640 % in 2002. CG: Health Expenditure: Public: % of Government Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 8.71 2014 | yearly | 1995 - 2014 |
View Congo's Congo CG: Health Expenditure: Public: % of Government Expenditure from 1995 to 2014 in the chart:
Congo CG: Health Expenditure: Public: % of Total Health Expenditure
CG: Health Expenditure: Public: % of Total Health Expenditure data was reported at 81.762 % in 2014. This records an increase from the previous number of 79.639 % for 2013. CG: Health Expenditure: Public: % of Total Health Expenditure data is updated yearly, averaging 59.371 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 81.762 % in 2014 and a record low of 49.806 % in 2003. CG: Health Expenditure: Public: % of Total Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds. Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 81.76 2014 | yearly | 1995 - 2014 |
View Congo's Congo CG: Health Expenditure: Public: % of Total Health Expenditure from 1995 to 2014 in the chart:
Congo CG: Health Expenditure: Total: % of GDP
CG: Health Expenditure: Total: % of GDP data was reported at 5.151 % in 2014. This records an increase from the previous number of 5.095 % for 2013. CG: Health Expenditure: Total: % of GDP data is updated yearly, averaging 2.583 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 5.151 % in 2014 and a record low of 2.085 % in 2008. CG: Health Expenditure: Total: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.15 2014 | yearly | 1995 - 2014 |
View Congo's Congo CG: Health Expenditure: Total: % of GDP from 1995 to 2014 in the chart:
Congo CG: Improved Sanitation Facilities: % of Population with Access
CG: Improved Sanitation Facilities: % of Population with Access data was reported at 15.000 % in 2015. This records an increase from the previous number of 14.900 % for 2014. CG: Improved Sanitation Facilities: % of Population with Access data is updated yearly, averaging 13.600 % from Dec 1997 (Median) to 2015, with 19 observations. The data reached an all-time high of 15.000 % in 2015 and a record low of 12.500 % in 1997. CG: Improved Sanitation Facilities: % of Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Access to improved sanitation facilities refers to the percentage of the population using improved sanitation facilities. Improved sanitation facilities are likely to ensure hygienic separation of human excreta from human contact. They include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 15.00 2015 | yearly | 1997 - 2015 |
View Congo's Congo CG: Improved Sanitation Facilities: % of Population with Access from 1997 to 2015 in the chart:
Congo CG: Improved Sanitation Facilities: Rural: % of Rural Population with Access
CG: Improved Sanitation Facilities: Rural: % of Rural Population with Access data was reported at 5.600 % in 2015. This stayed constant from the previous number of 5.600 % for 2014. CG: Improved Sanitation Facilities: Rural: % of Rural Population with Access data is updated yearly, averaging 5.600 % from Dec 1997 (Median) to 2015, with 19 observations. The data reached an all-time high of 5.600 % in 2015 and a record low of 5.600 % in 2015. CG: Improved Sanitation Facilities: Rural: % of Rural Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Access to improved sanitation facilities, rural, refers to the percentage of the rural population using improved sanitation facilities. Improved sanitation facilities are likely to ensure hygienic separation of human excreta from human contact. They include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.60 2015 | yearly | 1997 - 2015 |
View Congo's Congo CG: Improved Sanitation Facilities: Rural: % of Rural Population with Access from 1997 to 2015 in the chart:
Congo CG: Improved Sanitation Facilities: Urban: % of Urban Population with Access
CG: Improved Sanitation Facilities: Urban: % of Urban Population with Access data was reported at 20.000 % in 2015. This stayed constant from the previous number of 20.000 % for 2014. CG: Improved Sanitation Facilities: Urban: % of Urban Population with Access data is updated yearly, averaging 18.600 % from Dec 1997 (Median) to 2015, with 19 observations. The data reached an all-time high of 20.000 % in 2015 and a record low of 17.700 % in 2001. CG: Improved Sanitation Facilities: Urban: % of Urban Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Access to improved sanitation facilities, urban, refers to the percentage of the urban population using improved sanitation facilities. Improved sanitation facilities are likely to ensure hygienic separation of human excreta from human contact. They include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 20.00 2015 | yearly | 1997 - 2015 |
View Congo's Congo CG: Improved Sanitation Facilities: Urban: % of Urban Population with Access from 1997 to 2015 in the chart:
Congo CG: Improved Water Source: % of Population with Access
CG: Improved Water Source: % of Population with Access data was reported at 76.500 % in 2015. This records an increase from the previous number of 76.300 % for 2014. CG: Improved Water Source: % of Population with Access data is updated yearly, averaging 72.200 % from Dec 1997 (Median) to 2015, with 19 observations. The data reached an all-time high of 76.500 % in 2015 and a record low of 68.300 % in 1997. CG: Improved Water Source: % of Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Access to an improved water source refers to the percentage of the population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 76.50 2015 | yearly | 1997 - 2015 |
View Congo's Congo CG: Improved Water Source: % of Population with Access from 1997 to 2015 in the chart:
Congo CG: Improved Water Source: Rural: % of Rural Population with Access
CG: Improved Water Source: Rural: % of Rural Population with Access data was reported at 40.000 % in 2015. This stayed constant from the previous number of 40.000 % for 2014. CG: Improved Water Source: Rural: % of Rural Population with Access data is updated yearly, averaging 35.200 % from Dec 1997 (Median) to 2015, with 19 observations. The data reached an all-time high of 40.000 % in 2015 and a record low of 32.100 % in 2001. CG: Improved Water Source: Rural: % of Rural Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Access to an improved water source, rural, refers to the percentage of the rural population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 40.00 2015 | yearly | 1997 - 2015 |
View Congo's Congo CG: Improved Water Source: Rural: % of Rural Population with Access from 1997 to 2015 in the chart:
Congo CG: Improved Water Source: Urban: % of Urban Population with Access
CG: Improved Water Source: Urban: % of Urban Population with Access data was reported at 95.800 % in 2015. This stayed constant from the previous number of 95.800 % for 2014. CG: Improved Water Source: Urban: % of Urban Population with Access data is updated yearly, averaging 95.350 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 95.800 % in 2015 and a record low of 95.300 % in 2002. CG: Improved Water Source: Urban: % of Urban Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Access to an improved water source, urban, refers to the percentage of the urban population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 95.80 2015 | yearly | 1990 - 2015 |
View Congo's Congo CG: Improved Water Source: Urban: % of Urban Population with Access from 1990 to 2015 in the chart:
Congo CG: Incidence of HIV: % of Uninfected Population Aged 15-49
CG: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.250 % in 2017. This stayed constant from the previous number of 0.250 % for 2016. CG: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.270 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 0.810 % in 1991 and a record low of 0.250 % in 2017. CG: Incidence of HIV: % of Uninfected Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations ages 15-49 expressed per 100 uninfected population in the year before the period.; ; UNAIDS estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.280 2016 | yearly | 1990 - 2016 |
View Congo's Congo CG: Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2016 in the chart:
Congo CG: Intentional Homicides: Female: per 100,000 Female
CG: Intentional Homicides: Female: per 100,000 Female data was reported at 4.506 Ratio in 2015. CG: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 4.506 Ratio from Dec 2015 (Median) to 2015, with 1 observations. CG: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 4.506 2015 | yearly | 2015 - 2015 |
View Congo's Congo CG: Intentional Homicides: Female: per 100,000 Female from 2015 to 2015 in the chart:
Congo CG: Intentional Homicides: Male: per 100,000 Male
CG: Intentional Homicides: Male: per 100,000 Male data was reported at 14.135 Ratio in 2015. CG: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 14.135 Ratio from Dec 2015 (Median) to 2015, with 1 observations. CG: Intentional Homicides: Male: per 100,000 Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank: Health Statistics. Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 14.135 2015 | yearly | 2015 - 2015 |
View Congo's Congo CG: Intentional Homicides: Male: per 100,000 Male from 2015 to 2015 in the chart:
Congo CG: Intentional Homicides: per 100,000 People
CG: Intentional Homicides: per 100,000 People data was reported at 9.322 Ratio in 2015. This records a decrease from the previous number of 9.867 Ratio for 2010. CG: Intentional Homicides: per 100,000 People data is updated yearly, averaging 10.254 Ratio from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 11.335 Ratio in 2000 and a record low of 9.322 Ratio in 2015. CG: 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 Congo, Republic of – Table CG.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 |
|---|---|---|
| 10.100 2015 | yearly | 2005 - 2015 |
View Congo's Congo CG: Intentional Homicides: per 100,000 People from 2005 to 2015 in the chart:
Congo CG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
CG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 138.000 NA in 2016. CG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 138.000 NA from Dec 2016 (Median) to 2016, with 1 observations. CG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 138.000 2016 | yearly | 2016 - 2016 |
View Congo's Congo CG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Congo CG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
CG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 122.000 NA in 2016. CG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 122.000 NA from Dec 2016 (Median) to 2016, with 1 observations. CG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 122.000 2016 | yearly | 2016 - 2016 |
View Congo's Congo CG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Congo CG: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
CG: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 130.700 Ratio in 2016. CG: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 130.700 Ratio from Dec 2016 (Median) to 2016, with 1 observations. CG: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 130.700 2016 | yearly | 2016 - 2016 |
View Congo's Congo CG: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Congo CG: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
CG: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 1.000 Ratio in 2016. This records a decrease from the previous number of 1.100 Ratio for 2015. CG: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 1.300 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 1.900 Ratio in 2000 and a record low of 1.000 Ratio in 2016. CG: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.000 2016 | yearly | 2000 - 2016 |
View Congo's Congo CG: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Congo CG: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
CG: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 1.400 Ratio in 2016. This records a decrease from the previous number of 1.500 Ratio for 2015. CG: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 1.900 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 3.000 Ratio in 2000 and a record low of 1.400 Ratio in 2016. CG: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.400 2016 | yearly | 2000 - 2016 |
View Congo's Congo CG: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Congo CG: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
CG: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 1.200 Ratio in 2016. This records a decrease from the previous number of 1.300 Ratio for 2015. CG: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 1.600 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.400 Ratio in 2000 and a record low of 1.200 Ratio in 2016. CG: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.200 2016 | yearly | 2000 - 2016 |
View Congo's Congo CG: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Congo CG: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
CG: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 38.700 Ratio in 2016. CG: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 38.700 Ratio from Dec 2016 (Median) to 2016, with 1 observations. CG: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank: Health Statistics. Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 38.700 2016 | yearly | 2016 - 2016 |
View Congo's Congo CG: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Congo CG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
CG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 17.400 NA in 2016. This records a decrease from the previous number of 17.800 NA for 2015. CG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 20.100 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 25.600 NA in 2000 and a record low of 17.400 NA in 2016. CG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 17.400 2016 | yearly | 2000 - 2016 |
View Congo's Congo CG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Congo CG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
CG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 15.900 NA in 2016. This records a decrease from the previous number of 16.100 NA for 2015. CG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 17.800 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 24.000 NA in 2000 and a record low of 15.900 NA in 2016. CG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 15.900 2016 | yearly | 2000 - 2016 |
View Congo's Congo CG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Congo, Republic of CG: Newly Infected with HIV: Adults: Aged 15+
CG: Newly Infected with HIV: Adults: Aged 15+ data was reported at 4,100.000 Number in 2018. This stayed constant from the previous number of 4,100.000 Number for 2017. CG: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 4,600.000 Number from Dec 1990 (Median) to 2018, with 29 observations. The data reached an all-time high of 10,000.000 Number in 1990 and a record low of 4,100.000 Number in 2018. CG: Newly Infected with HIV: Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 4,100.000 2018 | yearly | 1990 - 2018 |
View Congo's Congo, Republic of CG: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2018 in the chart:
Congo, Republic of CG: Number of Deaths Ages 10-14 Years
CG: Number of Deaths Ages 10-14 Years data was reported at 511.000 Person in 2019. This records an increase from the previous number of 509.000 Person for 2018. CG: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 495.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 2,266.000 Person in 1997 and a record low of 481.000 Person in 2006. CG: Number of Deaths Ages 10-14 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 10-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 511.000 2019 | yearly | 1990 - 2019 |
View Congo's Congo, Republic of CG: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Congo, Republic of CG: Number of Deaths Ages 15-19 Years
CG: Number of Deaths Ages 15-19 Years data was reported at 596.000 Person in 2019. This stayed constant from the previous number of 596.000 Person for 2018. CG: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 825.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 3,502.000 Person in 1997 and a record low of 595.000 Person in 2017. CG: Number of Deaths Ages 15-19 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 15-19 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 596.000 2019 | yearly | 1990 - 2019 |
View Congo's Congo, Republic of CG: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Congo, Republic of CG: Number of Deaths Ages 20-24 Years
CG: Number of Deaths Ages 20-24 Years data was reported at 1,020.000 Person in 2019. This records an increase from the previous number of 999.000 Person for 2018. CG: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 1,177.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 5,263.000 Person in 1997 and a record low of 961.000 Person in 2015. CG: Number of Deaths Ages 20-24 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Health Statistics. Number of deaths of youths ages 20-24 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 1,020.000 2019 | yearly | 1990 - 2019 |
View Congo's Congo, Republic of CG: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Congo, Republic of CG: Number of Deaths Ages 5-14 Years
CG: Number of Deaths Ages 5-14 Years data was reported at 992.000 Person in 2018. This records a decrease from the previous number of 1,032.000 Person for 2015. CG: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 1,192.000 Person from Dec 1990 (Median) to 2018, with 5 observations. The data reached an all-time high of 2,532.000 Person in 1990 and a record low of 992.000 Person in 2018. CG: Number of Deaths Ages 5-14 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Number of deaths of children ages 5-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; 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 |
|---|---|---|
| 992.000 2018 | yearly | 1990 - 2018 |
View Congo's Congo, Republic of CG: Number of Deaths Ages 5-14 Years from 1990 to 2018 in the chart:
Congo, Republic of CG: Number of Deaths Ages 5-9 Years
CG: Number of Deaths Ages 5-9 Years data was reported at 625.000 Person in 2019. This records a decrease from the previous number of 638.000 Person for 2018. CG: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 954.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 2,274.000 Person in 1997 and a record low of 625.000 Person in 2019. CG: Number of Deaths Ages 5-9 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Health Statistics. Number of deaths of children ages 5-9 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 625.000 2019 | yearly | 1990 - 2019 |
View Congo's Congo, Republic of CG: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Congo CG: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health
CG: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data was reported at 96.022 % in 2014. This stayed constant from the previous number of 96.022 % for 2013. CG: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data is updated yearly, averaging 98.518 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 99.203 % in 2003 and a record low of 94.221 % in 2010. CG: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private health expenditure.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 96.02 2014 | yearly | 1995 - 2014 |
View Congo's Congo CG: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health from 1995 to 2014 in the chart:
Congo CG: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health
CG: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data was reported at 17.512 % in 2014. This records a decrease from the previous number of 19.551 % for 2013. CG: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data is updated yearly, averaging 39.907 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 49.794 % in 2003 and a record low of 17.512 % in 2014. CG: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private health expenditure.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 17.51 2014 | yearly | 1995 - 2014 |
View Congo's Congo CG: Out-of-Pocket Health Expenditure: % of Total Expenditure on Health from 1995 to 2014 in the chart:
CG: Prevalence of Anemia among Children: % of Children Under 5
CG: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 64.300 % in 2016. This records a decrease from the previous number of 64.400 % for 2015. CG: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 67.300 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 73.200 % in 1990 and a record low of 64.300 % in 2016. CG: Prevalence of Anemia among Children: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Prevalence of anemia, children under age 5, is the percentage of children under age 5 whose hemoglobin level is less than 110 grams per liter at sea level.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average; Anemia is defined as a low blood haemoglobin concentration. Anaemia may result from a number of causes, with the most significant contributor being iron deficiency. Anaemia resulting from iron deficiency adversely affects cognitive and motor development and causes fatigue and low productivity. Children under age 5 and pregnant women have the highest risk for anemia.
| Last | Frequency | Range |
|---|---|---|
| 64.300 2016 | yearly | 1990 - 2016 |
View Congo's CG: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Congo, Republic of CG: Probability of Dying at Age 10-14 Years: per 1000
CG: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 3.800 Ratio in 2019. This records a decrease from the previous number of 4.000 Ratio for 2018. CG: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 5.700 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 31.300 Ratio in 1997 and a record low of 3.800 Ratio in 2019. CG: Probability of Dying at Age 10-14 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Health Statistics. Probability of dying between age 10-14 years of age expressed per 1,000 adolescents age 10, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 3.800 2019 | yearly | 1990 - 2019 |
View Congo's Congo, Republic of CG: Probability of Dying at Age 10-14 Years: per 1000 from 1990 to 2019 in the chart:
Congo, Republic of CG: Probability of Dying at Age 15-19 Years: per 1000
CG: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 5.400 Ratio in 2019. This records a decrease from the previous number of 5.600 Ratio for 2018. CG: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 11.000 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 53.000 Ratio in 1997 and a record low of 5.400 Ratio in 2019. CG: Probability of Dying at Age 15-19 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Health Statistics. Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 5.400 2019 | yearly | 1990 - 2019 |
View Congo's Congo, Republic of CG: Probability of Dying at Age 15-19 Years: per 1000 from 1990 to 2019 in the chart:
Congo, Republic of CG: Probability of Dying at Age 20-24 Years: per 1000
CG: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 11.000 Ratio in 2019. This records a decrease from the previous number of 11.200 Ratio for 2018. CG: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 17.250 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 89.500 Ratio in 1997 and a record low of 11.000 Ratio in 2019. CG: Probability of Dying at Age 20-24 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Health Statistics. Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 11.000 2019 | yearly | 1990 - 2019 |
View Congo's Congo, Republic of CG: Probability of Dying at Age 20-24 Years: per 1000 from 1990 to 2019 in the chart:
Congo, Republic of CG: Probability of Dying at Age 5-9 Years: per 1000
CG: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 4.100 Ratio in 2019. This records a decrease from the previous number of 4.300 Ratio for 2018. CG: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 9.700 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 28.000 Ratio in 1997 and a record low of 4.100 Ratio in 2019. CG: Probability of Dying at Age 5-9 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Health Statistics. Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 4.100 2019 | yearly | 1990 - 2019 |
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Congo, Republic of CG: Smoking Prevalence: Females: % of Adults
CG: Smoking Prevalence: Females: % of Adults data was reported at 1.700 % in 2016. This stayed constant from the previous number of 1.700 % for 2015. CG: Smoking Prevalence: Females: % of Adults data is updated yearly, averaging 1.700 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 1.700 % in 2016 and a record low of 1.700 % in 2016. CG: Smoking Prevalence: Females: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Prevalence of smoking, female is the percentage of women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.700 2016 | yearly | 2000 - 2016 |
View Congo's Congo, Republic of CG: Smoking Prevalence: Females: % of Adults from 2000 to 2016 in the chart:
Congo, Republic of CG: Smoking Prevalence: Males: % of Adults
CG: Smoking Prevalence: Males: % of Adults data was reported at 52.300 % in 2016. This records an increase from the previous number of 47.000 % for 2015. CG: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 34.200 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 52.300 % in 2016 and a record low of 9.800 % in 2000. CG: Smoking Prevalence: Males: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Social: Health Statistics. Prevalence of smoking, male is the percentage of men ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 52.300 2016 | yearly | 2000 - 2016 |
View Congo's Congo, Republic of CG: Smoking Prevalence: Males: % of Adults from 2000 to 2016 in the chart:
Congo CG: Smoking Prevalence: Total: % of Adults: Aged 15+
CG: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 26.900 % in 2016. This records an increase from the previous number of 24.200 % for 2015. CG: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 17.900 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 26.900 % in 2016 and a record low of 5.700 % in 2000. CG: Smoking Prevalence: Total: % of Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank: Health Statistics. Prevalence of smoking is the percentage of men and women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 26.900 2016 | yearly | 2000 - 2016 |
View Congo's Congo CG: Smoking Prevalence: Total: % of Adults: Aged 15+ from 2000 to 2016 in the chart:
Congo CG: Suicide Mortality Rate: Female
CG: Suicide Mortality Rate: Female data was reported at 3.300 NA in 2016. This records a decrease from the previous number of 3.500 NA for 2015. CG: Suicide Mortality Rate: Female data is updated yearly, averaging 4.500 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 6.100 NA in 2000 and a record low of 3.300 NA in 2016. CG: Suicide Mortality Rate: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank.WDI: 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;
| Last | Frequency | Range |
|---|---|---|
| 3.300 2016 | yearly | 2000 - 2016 |
View Congo's Congo CG: Suicide Mortality Rate: Female from 2000 to 2016 in the chart:
Congo CG: Suicide Mortality Rate: Male
CG: Suicide Mortality Rate: Male data was reported at 8.400 NA in 2016. This records a decrease from the previous number of 8.700 NA for 2015. CG: Suicide Mortality Rate: Male data is updated yearly, averaging 10.200 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 13.900 NA in 2000 and a record low of 8.400 NA in 2016. CG: Suicide Mortality Rate: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo – Table CG.World Bank.WDI: 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;
| Last | Frequency | Range |
|---|---|---|
| 8.400 2016 | yearly | 2000 - 2016 |
View Congo's Congo CG: Suicide Mortality Rate: Male from 2000 to 2016 in the chart:
CG: Teenage Mothers
CG: Teenage Mothers data was reported at 32.900 % in 2012. This records an increase from the previous number of 27.300 % for 2005. CG: Teenage Mothers data is updated yearly, averaging 30.100 % from Dec 2005 (Median) to 2012, with 2 observations. The data reached an all-time high of 32.900 % in 2012 and a record low of 27.300 % in 2005. CG: Teenage Mothers data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.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 |
|---|---|---|
| 32.900 2012 | yearly | 2005 - 2012 |
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Congo, Republic of CG: UHC Service Coverage Index
CG: UHC Service Coverage Index data was reported at 39.000 % in 2017. This records a decrease from the previous number of 40.000 % for 2015. CG: UHC Service Coverage Index data is updated yearly, averaging 39.500 % from Dec 2015 (Median) to 2017, with 2 observations. The data reached an all-time high of 40.000 % in 2015 and a record low of 39.000 % in 2017. CG: UHC Service Coverage Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Health Statistics. Coverage index for essential health services (based on tracer interventions that include reproductive, maternal, newborn and child health, infectious diseases, noncommunicable diseases and service capacity and access). It is presented on a scale of 0 to 100.; ; World Health Organization, Global Health Observatory Data Repository (https://www.who.int/data/gho).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 39.000 2017 | yearly | 2015 - 2017 |
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CG: Wanted Fertility Rate: Births per Woman
CG: Wanted Fertility Rate: Births per Woman data was reported at 4.800 Ratio in 2012. This records an increase from the previous number of 4.400 Ratio for 2005. CG: Wanted Fertility Rate: Births per Woman data is updated yearly, averaging 4.600 Ratio from Dec 2005 (Median) to 2012, with 2 observations. The data reached an all-time high of 4.800 Ratio in 2012 and a record low of 4.400 Ratio in 2005. CG: 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 Congo, Republic of – Table CG.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 |
|---|---|---|
| 4.800 2012 | yearly | 2005 - 2012 |
View Congo's CG: Wanted Fertility Rate: Births per Woman from 2005 to 2012 in the chart:
CG: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49
CG: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data was reported at 26.800 % in 2012. CG: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data is updated yearly, averaging 26.800 % from Dec 2012 (Median) to 2012, with 1 observations. The data reached an all-time high of 26.800 % in 2012 and a record low of 26.800 % in 2012. CG: 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 Congo, Republic of – Table CG.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 |
|---|---|---|
| 26.800 2012 | yearly | 2012 - 2012 |
View Congo's CG: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 from 2012 to 2012 in the chart:
CG: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49
CG: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data was reported at 28.400 % in 2012. CG: 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 28.400 % from Dec 2012 (Median) to 2012, with 1 observations. The data reached an all-time high of 28.400 % in 2012 and a record low of 28.400 % in 2012. CG: 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 Congo, Republic of – Table CG.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 |
|---|---|---|
| 28.400 2012 | yearly | 2012 - 2012 |
View Congo's CG: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 from 2012 to 2012 in the chart:
CG: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons
CG: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data was reported at 60.700 % in 2012. This records a decrease from the previous number of 67.400 % for 2005. CG: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data is updated yearly, averaging 64.050 % from Dec 2005 (Median) to 2012, with 2 observations. The data reached an all-time high of 67.400 % in 2005 and a record low of 60.700 % in 2012. CG: 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 Congo, Republic of – Table CG.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 |
|---|---|---|
| 60.700 2012 | yearly | 2005 - 2012 |
View Congo's CG: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons from 2005 to 2012 in the chart:
CG: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him
CG: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him data was reported at 40.800 % in 2012. This records a decrease from the previous number of 51.500 % for 2005. CG: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him data is updated yearly, averaging 46.150 % from Dec 2005 (Median) to 2012, with 2 observations. The data reached an all-time high of 51.500 % in 2005 and a record low of 40.800 % in 2012. CG: 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 Congo, Republic of – Table CG.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 |
|---|---|---|
| 40.800 2012 | yearly | 2005 - 2012 |
View Congo's CG: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him from 2005 to 2012 in the chart:
CG: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children
CG: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children data was reported at 46.800 % in 2012. This records a decrease from the previous number of 54.600 % for 2005. CG: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children data is updated yearly, averaging 50.700 % from Dec 2005 (Median) to 2012, with 2 observations. The data reached an all-time high of 54.600 % in 2005 and a record low of 46.800 % in 2012. CG: 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 Congo, Republic of – Table CG.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 |
|---|---|---|
| 46.800 2012 | yearly | 2005 - 2012 |
View Congo's CG: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children from 2005 to 2012 in the chart:
CG: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him
CG: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him data was reported at 26.300 % in 2012. This records a decrease from the previous number of 35.000 % for 2005. CG: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him data is updated yearly, averaging 30.650 % from Dec 2005 (Median) to 2012, with 2 observations. The data reached an all-time high of 35.000 % in 2005 and a record low of 26.300 % in 2012. CG: 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 Congo, Republic of – Table CG.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 |
|---|---|---|
| 26.300 2012 | yearly | 2005 - 2012 |