Guinea-Bissau Health Statistics
Guinea-Bissau GW: ARI Treatment: % of Children Under 5 Taken to a Health Provider
GW: ARI Treatment: % of Children Under 5 Taken to a Health Provider data was reported at 34.300 % in 2014. This records a decrease from the previous number of 52.100 % for 2010. GW: ARI Treatment: % of Children Under 5 Taken to a Health Provider data is updated yearly, averaging 54.550 % from Dec 2000 (Median) to 2014, with 4 observations. The data reached an all-time high of 64.000 % in 2000 and a record low of 34.300 % in 2014. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Children with acute respiratory infection (ARI) who are taken to a health provider refers to the percentage of children under age five with ARI in the last two weeks who were taken to an appropriate health provider, including hospital, health center, dispensary, village health worker, clinic, and private physician.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 34.30 2014 | yearly | 2000 - 2014 |
View Guinea-Bissau's Guinea-Bissau GW: ARI Treatment: % of Children Under 5 Taken to a Health Provider from 2000 to 2014 in the chart:
Guinea-Bissau GW: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
GW: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 87.205 Ratio in 2016. This records a decrease from the previous number of 89.928 Ratio for 2015. GW: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 116.929 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 138.269 Ratio in 1992 and a record low of 87.205 Ratio in 2016. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Adolescent fertility rate is the number of births per 1,000 women ages 15-19.; ; United Nations Population Division, World Population Prospects.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 87.21 2016 | yearly | 1960 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2016 in the chart:
Guinea-Bissau GW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
GW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 1.300 NA in 2016. This stayed constant from the previous number of 1.300 NA for 2010. GW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 1.300 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 1.300 NA in 2016 and a record low of 1.300 NA in 2016. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.300 2016 | yearly | 2010 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Guinea-Bissau GW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
GW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 8.300 NA in 2016. This records an increase from the previous number of 7.300 NA for 2010. GW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 7.800 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 8.300 NA in 2016 and a record low of 7.300 NA in 2010. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 8.300 2016 | yearly | 2010 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Guinea-Bissau GW: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV
GW: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data was reported at 65.000 % in 2017. This records a decrease from the previous number of 68.000 % for 2016. GW: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data is updated yearly, averaging 58.500 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 85.000 % in 2014 and a record low of 15.000 % in 2010. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Percentage of pregnant women with HIV who receive antiretroviral medicine for prevention of mother-to-child transmission (PMTCT).; ; UNAIDS estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 85.00 2016 | yearly | 2010 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV from 2010 to 2016 in the chart:
Guinea-Bissau GW: Antiretroviral Therapy Coverage: % of People Living with HIV
GW: Antiretroviral Therapy Coverage: % of People Living with HIV data was reported at 30.000 % in 2017. This stayed constant from the previous number of 30.000 % for 2016. GW: Antiretroviral Therapy Coverage: % of People Living with HIV data is updated yearly, averaging 7.000 % from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 30.000 % in 2017 and a record low of 0.000 % in 2005. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Antiretroviral therapy coverage indicates the percentage of all people living with HIV who are receiving antiretroviral therapy.; ; UNAIDS estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 33.00 2016 | yearly | 2000 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Antiretroviral Therapy Coverage: % of People Living with HIV from 2000 to 2016 in the chart:
Guinea-Bissau GW: Births Attended by Skilled Health Staff: % of Total
GW: Births Attended by Skilled Health Staff: % of Total data was reported at 45.000 % in 2014. This records an increase from the previous number of 43.000 % for 2010. GW: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 31.800 % from Dec 1995 (Median) to 2014, with 5 observations. The data reached an all-time high of 45.000 % in 2014 and a record low of 25.000 % in 1995. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Assistance by trained professionals during birth reduces the incidence of maternal deaths during childbirth. The share of births attended by skilled health staff is an indicator of a health system’s ability to provide adequate care for pregnant women.
| Last | Frequency | Range |
|---|---|---|
| 45.00 2014 | yearly | 1995 - 2014 |
View Guinea-Bissau's Guinea-Bissau GW: Births Attended by Skilled Health Staff: % of Total from 1995 to 2014 in the chart:
Guinea-Bissau GW: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
GW: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 62.100 % in 2016. This records a decrease from the previous number of 64.200 % for 2015. GW: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 64.850 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 69.700 % in 2000 and a record low of 62.100 % in 2016. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 61.20 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2015 in the chart:
Guinea-Bissau GW: Cause of Death: by Injury: % of Total
GW: Cause of Death: by Injury: % of Total data was reported at 7.900 % in 2016. This records an increase from the previous number of 7.600 % for 2015. GW: Cause of Death: by Injury: % of Total data is updated yearly, averaging 7.550 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 7.900 % in 2016 and a record low of 6.600 % in 2000. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 8.90 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: Cause of Death: by Injury: % of Total from 2000 to 2015 in the chart:
Guinea-Bissau GW: Cause of Death: by Non-Communicable Diseases: % of Total
GW: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 30.000 % in 2016. This records an increase from the previous number of 28.200 % for 2015. GW: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 27.600 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 30.000 % in 2016 and a record low of 23.700 % in 2000. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 29.90 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2015 in the chart:
Guinea-Bissau GW: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever
GW: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data was reported at 28.000 % in 2014. This records a decrease from the previous number of 51.200 % for 2010. GW: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever data is updated yearly, averaging 48.600 % from Dec 2000 (Median) to 2014, with 4 observations. The data reached an all-time high of 58.000 % in 2000 and a record low of 28.000 % in 2014. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Malaria treatment refers to the percentage of children under age five who were ill with fever in the last two weeks and received any appropriate (locally defined) anti-malarial drugs.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 28.00 2014 | yearly | 2000 - 2014 |
View Guinea-Bissau's Guinea-Bissau GW: Children with Fever Receiving Antimalarial Drugs: % of Children Under Age 5 with Fever from 2000 to 2014 in the chart:
Guinea-Bissau GW: Children: 0-14 Living with HIV
GW: Children: 0-14 Living with HIV data was reported at 4,200.000 Person in 2017. This stayed constant from the previous number of 4,200.000 Person for 2016. GW: Children: 0-14 Living with HIV data is updated yearly, averaging 2,300.000 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 4,300.000 Person in 2015 and a record low of 100.000 Person in 1990. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Children living with HIV refers to the number of children ages 0-14 who are infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 4,200.00 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Children: 0-14 Living with HIV from 1990 to 2016 in the chart:
Guinea-Bissau GW: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24
GW: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 data was reported at 42.700 % in 2014. GW: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 data is updated yearly, averaging 42.700 % from Dec 2014 (Median) to 2014, with 1 observations. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Condom use, female is the percentage of the female population ages 15-24 who used a condom at last intercourse in the last 12 months.; ; Demographic and Health Surveys, and UNAIDS.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 42.70 2014 | yearly | 2014 - 2014 |
View Guinea-Bissau's Guinea-Bissau GW: Condom Use: Population Aged 15-24: Female: % of Females Aged 15-24 from 2014 to 2014 in the chart:
Guinea-Bissau GW: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24
GW: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data was reported at 62.400 % in 2014. GW: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 data is updated yearly, averaging 62.400 % from Dec 2014 (Median) to 2014, with 1 observations. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Condom use, male is the percentage of the male population ages 15-24 who used a condom at last intercourse in the last 12 months.; ; Demographic and Health Surveys, and UNAIDS.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 62.40 2014 | yearly | 2014 - 2014 |
View Guinea-Bissau's Guinea-Bissau GW: Condom Use: Population Aged 15-24: Male: % of Males Aged 15-24 from 2014 to 2014 in the chart:
Guinea-Bissau GW: Consumption of Iodized Salt: % of Households
GW: Consumption of Iodized Salt: % of Households data was reported at 11.700 % in 2010. GW: Consumption of Iodized Salt: % of Households data is updated yearly, averaging 11.700 % from Dec 2010 (Median) to 2010, with 1 observations. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Consumption of iodized salt refers to the percentage of households that use edible salt fortified with iodine.; ; United Nations Children's Fund, State of the World's Children.; Weighted average; Iodine deficiency is the single most important cause of preventable mental retardation, contributes significantly to the risk of stillbirth and miscarriage, and increases the incidence of infant mortality. A diet low in iodine is the main cause of iodine deficiency. It usually occurs among populations living in areas where the soil has been depleted of iodine. If soil is deficient in iodine, then so are the plants grown in it, including the grains and vegetables that people and animals consume. There are almost no countries in the world where iodine deficiency has not been a public health problem. Many newborns in low- and middle-income countries remain unprotected from the lifelong consequences of brain damage associated with iodine deficiency disorders, which affect a child's ability to learn and to earn a living as an adult, and in turn prevents children, communities, and countries from fulfilling their potential (UNICEF, www.childinfo.org). Widely used and inexpensive, iodized salt is the best source of iodine, and a global campaign to iodize edible salt is significantly reducing the risks associated with iodine deficiency.
| Last | Frequency | Range |
|---|---|---|
| 11.70 2010 | yearly | 2010 - 2010 |
View Guinea-Bissau's Guinea-Bissau GW: Consumption of Iodized Salt: % of Households from 2010 to 2010 in the chart:
Guinea-Bissau GW: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
GW: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 16.000 % in 2014. This records an increase from the previous number of 14.200 % for 2010. GW: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 12.250 % from Dec 2000 (Median) to 2014, with 4 observations. The data reached an all-time high of 16.000 % in 2014 and a record low of 7.600 % in 2000. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for women ages 15-49 who are married or in union.; ; UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.; Weighted average; Contraceptive prevalence amongst women of reproductive age is an indicator of women's empowerment and is related to maternal health, HIV/AIDS, and gender equality.
| Last | Frequency | Range |
|---|---|---|
| 16.00 2014 | yearly | 2000 - 2014 |
View Guinea-Bissau's Guinea-Bissau GW: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 from 2000 to 2014 in the chart:
Guinea-Bissau GW: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49
GW: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data was reported at 14.400 % in 2014. This records an increase from the previous number of 13.100 % for 2010. GW: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data is updated yearly, averaging 11.350 % from Dec 2000 (Median) to 2014, with 4 observations. The data reached an all-time high of 14.400 % in 2014 and a record low of 4.500 % in 2000. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, at least one modern method of contraception. It is usually measured for women ages 15-49 who are married or in union. Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.; ; Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 14.40 2014 | yearly | 2000 - 2014 |
View Guinea-Bissau's Guinea-Bissau GW: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 from 2000 to 2014 in the chart:
Guinea-Bissau GW: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
GW: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 37.600 % in 2014. This records a decrease from the previous number of 64.900 % for 2010. GW: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 51.250 % from Dec 2010 (Median) to 2014, with 2 observations. The data reached an all-time high of 64.900 % in 2010 and a record low of 37.600 % in 2014. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Demand for family planning satisfied by modern methods refers to the percentage of married women ages 15-49 years whose need for family planning is satisfied with modern methods.; ; Demographic and Health Surveys (DHS).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 37.60 2014 | yearly | 2010 - 2014 |
View Guinea-Bissau's Guinea-Bissau GW: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning from 2010 to 2014 in the chart:
Guinea-Bissau GW: Depth of the Food Deficit: Kilocalories per Person per Day
GW: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 143.000 kcal in 2016. This records a decrease from the previous number of 152.000 kcal for 2015. GW: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 165.000 kcal from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 203.000 kcal in 2000 and a record low of 141.000 kcal in 1995. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.; ; Food and Agriculture Organization, Food Security Statistics.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 143.00 2016 | yearly | 1992 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Depth of the Food Deficit: Kilocalories per Person per Day from 1992 to 2016 in the chart:
Guinea-Bissau GW: Diabetes Prevalence: % of Population Aged 20-79
GW: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 2.420 % in 2017. GW: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 2.420 % from Dec 2017 (Median) to 2017, with 1 observations. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes.; ; International Diabetes Federation, Diabetes Atlas.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.42 2017 | yearly | 2017 - 2017 |
View Guinea-Bissau's Guinea-Bissau GW: Diabetes Prevalence: % of Population Aged 20-79 from 2017 to 2017 in the chart:
Guinea-Bissau GW: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding
GW: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data was reported at 54.600 % in 2014. This records an increase from the previous number of 53.200 % for 2010. GW: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding data is updated yearly, averaging 39.100 % from Dec 2000 (Median) to 2014, with 4 observations. The data reached an all-time high of 54.600 % in 2014 and a record low of 23.000 % in 2000. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: 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 |
|---|---|---|
| 54.60 2014 | yearly | 2000 - 2014 |
View Guinea-Bissau's Guinea-Bissau GW: Diarrhea Treatment: % of Children Under 5 Receiving Oral Rehydration and Continued Feeding from 2000 to 2014 in the chart:
Guinea-Bissau GW: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet
GW: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data was reported at 35.100 % in 2014. This records an increase from the previous number of 18.700 % for 2010. GW: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet data is updated yearly, averaging 18.700 % from Dec 1986 (Median) to 2014, with 7 observations. The data reached an all-time high of 39.000 % in 2000 and a record low of 1.000 % in 1987. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Percentage of children under age 5 with diarrhea in the two weeks preceding the survey who received oral rehydration salts (ORS packets or pre-packaged ORS fluids).; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 35.10 2014 | yearly | 1986 - 2014 |
View Guinea-Bissau's Guinea-Bissau GW: Diarrhea Treatment: % of Children Under 5 who Received ORS Packet from 1986 to 2014 in the chart:
Guinea-Bissau GW: Exclusive Breastfeeding: % of Children under 6 Months
GW: Exclusive Breastfeeding: % of Children under 6 Months data was reported at 52.542 % in 2014. This records an increase from the previous number of 38.300 % for 2010. GW: Exclusive Breastfeeding: % of Children under 6 Months data is updated yearly, averaging 32.917 % from Dec 2000 (Median) to 2014, with 4 observations. The data reached an all-time high of 52.542 % in 2014 and a record low of 15.451 % in 2006. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: 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 |
|---|---|---|
| 52.54 2014 | yearly | 2000 - 2014 |
View Guinea-Bissau's Guinea-Bissau GW: Exclusive Breastfeeding: % of Children under 6 Months from 2000 to 2014 in the chart:
Guinea-Bissau GW: Female Adults with HIV: % of Population Aged 15+ with HIV
GW: Female Adults with HIV: % of Population Aged 15+ with HIV data was reported at 61.000 % in 2017. This records an increase from the previous number of 60.600 % for 2016. GW: Female Adults with HIV: % of Population Aged 15+ with HIV data is updated yearly, averaging 58.400 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 61.000 % in 2017 and a record low of 47.400 % in 1990. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: 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 |
|---|---|---|
| 60.41 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Female Adults with HIV: % of Population Aged 15+ with HIV from 1990 to 2016 in the chart:
Guinea-Bissau GW: Female Genital Mutilation Prevalence
GW: Female Genital Mutilation Prevalence data was reported at 44.900 % in 2014. This records a decrease from the previous number of 49.800 % for 2010. GW: Female Genital Mutilation Prevalence data is updated yearly, averaging 44.900 % from Dec 2006 (Median) to 2014, with 3 observations. The data reached an all-time high of 49.800 % in 2010 and a record low of 44.500 % in 2006. GW: Female Genital Mutilation Prevalence data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons.; ; UNICEF Childinfo (childinfo.org).; ;
| Last | Frequency | Range |
|---|---|---|
| 44.90 2014 | yearly | 2006 - 2014 |
View Guinea-Bissau's Guinea-Bissau GW: Female Genital Mutilation Prevalence from 2006 to 2014 in the chart:
Guinea-Bissau GW: Fertility Rate: Total: Births per Woman
GW: Fertility Rate: Total: Births per Woman data was reported at 4.633 Ratio in 2016. This records a decrease from the previous number of 4.710 Ratio for 2015. GW: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 6.024 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 6.739 Ratio in 1985 and a record low of 4.633 Ratio in 2016. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.
| Last | Frequency | Range |
|---|---|---|
| 4.63 2016 | yearly | 1960 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
Guinea-Bissau GW: Hospital Beds: per 1000 People
GW: Hospital Beds: per 1000 People data was reported at 1.000 Number in 2009. This records an increase from the previous number of 0.700 Number for 2007. GW: Hospital Beds: per 1000 People data is updated yearly, averaging 1.575 Number from Dec 1960 (Median) to 2009, with 7 observations. The data reached an all-time high of 1.972 Number in 1981 and a record low of 0.700 Number in 2007. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.; ; Data are from the World Health Organization, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.00 2009 | yearly | 1960 - 2009 |
View Guinea-Bissau's Guinea-Bissau GW: Hospital Beds: per 1000 People from 1960 to 2009 in the chart:
Guinea-Bissau GW: Immunization: DPT: % of Children Aged 12-23 Months
GW: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 87.000 % in 2017. This stayed constant from the previous number of 87.000 % for 2016. GW: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 67.500 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 87.000 % in 2017 and a record low of 45.000 % in 1999. GW: Immunization: DPT: % of Children Aged 12-23 Months data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 87.00 2016 | yearly | 1983 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Immunization: DPT: % of Children Aged 12-23 Months from 1983 to 2016 in the chart:
Guinea-Bissau GW: Immunization: HepB3: % of One-Year-Old Children
GW: Immunization: HepB3: % of One-Year-Old Children data was reported at 87.000 % in 2017. This stayed constant from the previous number of 87.000 % for 2016. GW: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 87.000 % from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 87.000 % in 2017 and a record low of 80.000 % in 2009. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: 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 |
|---|---|---|
| 87.00 2016 | yearly | 2009 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Immunization: HepB3: % of One-Year-Old Children from 2009 to 2016 in the chart:
Guinea-Bissau GW: Immunization: Measles: % of Children Aged 12-23 Months
GW: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 81.000 % in 2017. This stayed constant from the previous number of 81.000 % for 2016. GW: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 70.000 % from Dec 1983 (Median) to 2017, with 35 observations. The data reached an all-time high of 83.000 % in 2011 and a record low of 27.000 % in 1983. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: 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 |
|---|---|---|
| 81.00 2016 | yearly | 1983 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Immunization: Measles: % of Children Aged 12-23 Months from 1983 to 2016 in the chart:
Guinea-Bissau GW: Incidence of HIV: % of Uninfected Population Aged 15-49
GW: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.120 % in 2016. This records a decrease from the previous number of 0.130 % for 2015. GW: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.300 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 0.730 % in 2003 and a record low of 0.060 % in 1990. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Number of new HIV infections among uninfected populations ages 15-49 expressed per 100 uninfected population in the year before the period.; ; UNAIDS estimates.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.12 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2016 in the chart:
Guinea-Bissau GW: Incidence of Malaria: per 1,000 Population at Risk
GW: Incidence of Malaria: per 1,000 Population at Risk data was reported at 89.300 Number in 2015. This records a decrease from the previous number of 101.800 Number for 2010. GW: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 114.700 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 433.600 Number in 2000 and a record low of 89.300 Number in 2015. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Incidence of malaria is the number of new cases of malaria in a year per 1,000 population at risk.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/ghodata/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 89.30 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: Incidence of Malaria: per 1,000 Population at Risk from 2000 to 2015 in the chart:
Guinea-Bissau GW: Incidence of Tuberculosis: per 100,000 People
GW: Incidence of Tuberculosis: per 100,000 People data was reported at 374.000 Ratio in 2016. This records an increase from the previous number of 373.000 Ratio for 2015. GW: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 368.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 387.000 Ratio in 2013 and a record low of 305.000 Ratio in 2000. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.; ; World Health Organization, Global Tuberculosis Report.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 374.00 2016 | yearly | 2000 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Guinea-Bissau GW: Intentional Homicides: Female: per 100,000 Female
GW: Intentional Homicides: Female: per 100,000 Female data was reported at 8.553 Ratio in 2015. GW: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 8.553 Ratio from Dec 2015 (Median) to 2015, with 1 observations. GW: 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 Guinea-Bissau – Table GW.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 |
|---|---|---|
| 8.55 2015 | yearly | 2015 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: Intentional Homicides: Female: per 100,000 Female from 2015 to 2015 in the chart:
Guinea-Bissau GW: Intentional Homicides: Male: per 100,000 Male
GW: Intentional Homicides: Male: per 100,000 Male data was reported at 10.581 Ratio in 2015. GW: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 10.581 Ratio from Dec 2015 (Median) to 2015, with 1 observations. GW: 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 Guinea-Bissau – Table GW.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 |
|---|---|---|
| 10.58 2015 | yearly | 2015 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: Intentional Homicides: Male: per 100,000 Male from 2015 to 2015 in the chart:
Guinea-Bissau GW: Intentional Homicides: per 100,000 People
GW: Intentional Homicides: per 100,000 People data was reported at 9.200 Ratio in 2015. This records a decrease from the previous number of 10.000 Ratio for 2010. GW: Intentional Homicides: per 100,000 People data is updated yearly, averaging 10.000 Ratio from Dec 2005 (Median) to 2015, with 3 observations. The data reached an all-time high of 11.000 Ratio in 2005 and a record low of 9.200 Ratio in 2015. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 9.20 2015 | yearly | 2005 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: Intentional Homicides: per 100,000 People from 2005 to 2015 in the chart:
Guinea-Bissau GW: Life Expectancy at Birth: Female
GW: Life Expectancy at Birth: Female data was reported at 59.134 Year in 2016. This records an increase from the previous number of 58.719 Year for 2015. GW: Life Expectancy at Birth: Female data is updated yearly, averaging 50.531 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 59.134 Year in 2016 and a record low of 39.418 Year in 1960. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 59.13 2016 | yearly | 1960 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
Guinea-Bissau GW: Life Expectancy at Birth: Male
GW: Life Expectancy at Birth: Male data was reported at 55.657 Year in 2016. This records an increase from the previous number of 55.266 Year for 2015. GW: Life Expectancy at Birth: Male data is updated yearly, averaging 46.243 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 55.657 Year in 2016 and a record low of 36.338 Year in 1960. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 55.66 2016 | yearly | 1960 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
Guinea-Bissau GW: Life Expectancy at Birth: Total
GW: Life Expectancy at Birth: Total data was reported at 57.403 Year in 2016. This records an increase from the previous number of 57.000 Year for 2015. GW: Life Expectancy at Birth: Total data is updated yearly, averaging 48.381 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 57.403 Year in 2016 and a record low of 37.854 Year in 1960. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 57.40 2016 | yearly | 1960 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
Guinea-Bissau GW: Lifetime Risk Of Maternal Death
GW: Lifetime Risk Of Maternal Death data was reported at 2.622 % in 2015. This records a decrease from the previous number of 2.676 % for 2014. GW: Lifetime Risk Of Maternal Death data is updated yearly, averaging 4.269 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 5.928 % in 1990 and a record low of 2.622 % in 2015. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.62 2015 | yearly | 1990 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
Guinea-Bissau GW: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
GW: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 38.000 NA in 2015. This records an increase from the previous number of 37.000 NA for 2014. GW: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 23.500 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 38.000 NA in 2015 and a record low of 17.000 NA in 1990. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 38.00 2015 | yearly | 1990 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
Guinea-Bissau GW: Low-Birthweight Babies: % of Births
GW: Low-Birthweight Babies: % of Births data was reported at 11.000 % in 2010. This records a decrease from the previous number of 23.900 % for 2006. GW: Low-Birthweight Babies: % of Births data is updated yearly, averaging 21.800 % from Dec 2000 (Median) to 2010, with 3 observations. The data reached an all-time high of 23.900 % in 2006 and a record low of 11.000 % in 2010. GW: Low-Birthweight Babies: % of Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hours of life, before significant postnatal weight loss has occurred.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 11.00 2010 | yearly | 2000 - 2010 |
View Guinea-Bissau's Guinea-Bissau GW: Low-Birthweight Babies: % of Births from 2000 to 2010 in the chart:
Guinea-Bissau GW: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
GW: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 549.000 Ratio in 2015. This records a decrease from the previous number of 553.000 Ratio for 2014. GW: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 775.500 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 907.000 Ratio in 1990 and a record low of 549.000 Ratio in 2015. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.
| Last | Frequency | Range |
|---|---|---|
| 549.00 2015 | yearly | 1990 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
Guinea-Bissau GW: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
GW: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 900.000 Ratio in 2014. This records an increase from the previous number of 410.000 Ratio for 2006. GW: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 900.000 Ratio from Dec 1990 (Median) to 2014, with 3 observations. The data reached an all-time high of 910.000 Ratio in 1990 and a record low of 410.000 Ratio in 2006. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; ;
| Last | Frequency | Range |
|---|---|---|
| 900.00 2014 | yearly | 1990 - 2014 |
View Guinea-Bissau's Guinea-Bissau GW: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 1990 to 2014 in the chart:
Guinea-Bissau GW: Mortality Caused by Road Traffic Injury: per 100,000 People
GW: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 26.800 Number in 2015. This records a decrease from the previous number of 27.300 Number for 2010. GW: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 26.950 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 27.300 Number in 2010 and a record low of 25.700 Number in 2000. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.; ; World Health Organization, Global Status Report on Road Safety.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 26.80 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
Guinea-Bissau GW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
GW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 206.000 NA in 2016. GW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 206.000 NA from Dec 2016 (Median) to 2016, with 1 observations. GW: 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 Guinea-Bissau – Table GW.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 |
|---|---|---|
| 206.000 2016 | yearly | 2016 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
GW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 225.000 NA in 2016. GW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 225.000 NA from Dec 2016 (Median) to 2016, with 1 observations. GW: 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 Guinea-Bissau – Table GW.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 |
|---|---|---|
| 225.000 2016 | yearly | 2016 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
GW: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 214.700 Ratio in 2016. GW: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 214.700 Ratio from Dec 2016 (Median) to 2016, with 1 observations. GW: 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 Guinea-Bissau – Table GW.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 |
|---|---|---|
| 214.70 2016 | yearly | 2016 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
GW: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 1.500 Ratio in 2016. This stayed constant from the previous number of 1.500 Ratio for 2015. GW: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 1.700 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.100 Ratio in 2000 and a record low of 1.500 Ratio in 2016. GW: 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 Guinea-Bissau – Table GW.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 |
|---|---|---|
| 1.50 2016 | yearly | 2000 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
GW: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 2.900 Ratio in 2016. This stayed constant from the previous number of 2.900 Ratio for 2015. GW: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 3.500 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 4.200 Ratio in 2000 and a record low of 2.900 Ratio in 2016. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.90 2016 | yearly | 2000 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
GW: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 2.200 Ratio in 2016. This stayed constant from the previous number of 2.200 Ratio for 2015. GW: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 2.600 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 3.100 Ratio in 2000 and a record low of 2.200 Ratio in 2016. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.20 2016 | yearly | 2000 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
GW: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 35.300 Ratio in 2016. GW: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 35.300 Ratio from Dec 2016 (Median) to 2016, with 1 observations. GW: 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 Guinea-Bissau – Table GW.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 |
|---|---|---|
| 35.30 2016 | yearly | 2016 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate: Adult: Female: per 1000 Female Adults
GW: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 240.933 Ratio in 2016. This records a decrease from the previous number of 244.500 Ratio for 2015. GW: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 297.582 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 439.917 Ratio in 1960 and a record low of 240.933 Ratio in 2016. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 240.93 2016 | yearly | 1960 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate: Adult: Male: per 1000 Male Adults
GW: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 291.939 Ratio in 2016. This records a decrease from the previous number of 296.077 Ratio for 2015. GW: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 371.352 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 503.834 Ratio in 1960 and a record low of 291.939 Ratio in 2016. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 291.94 2016 | yearly | 1960 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate: Infant: Female: per 1000 Live Births
GW: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 49.700 Ratio in 2017. This records a decrease from the previous number of 53.100 Ratio for 2015. GW: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 64.900 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 121.600 Ratio in 1990 and a record low of 49.700 Ratio in 2017. GW: Mortality Rate: Infant: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 51.10 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate: Infant: Male: per 1000 Live Births
GW: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 64.000 Ratio in 2016. This records a decrease from the previous number of 66.100 Ratio for 2015. GW: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 80.100 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 141.900 Ratio in 1990 and a record low of 64.000 Ratio in 2016. GW: Mortality Rate: Infant: Male: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank: Health Statistics. Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 64.00 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate: Infant: per 1000 Live Births
GW: Mortality Rate: Infant: per 1000 Live Births data was reported at 57.800 Ratio in 2016. This records a decrease from the previous number of 59.600 Ratio for 2015. GW: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 103.800 Ratio from Dec 1985 (Median) to 2016, with 32 observations. The data reached an all-time high of 141.100 Ratio in 1985 and a record low of 57.800 Ratio in 2016. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 57.80 2016 | yearly | 1985 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate: Infant: per 1000 Live Births from 1985 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate: Neonatal: per 1000 Live Births
GW: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 38.200 Ratio in 2016. This records a decrease from the previous number of 39.100 Ratio for 2015. GW: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 54.250 Ratio from Dec 1987 (Median) to 2016, with 30 observations. The data reached an all-time high of 65.900 Ratio in 1987 and a record low of 38.200 Ratio in 2016. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries.
| Last | Frequency | Range |
|---|---|---|
| 38.20 2016 | yearly | 1987 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate: Neonatal: per 1000 Live Births from 1987 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate: Under-5: Female: per 1000 Live Births
GW: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 80.200 Ratio in 2016. This records a decrease from the previous number of 83.200 Ratio for 2015. GW: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 104.200 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 202.900 Ratio in 1990 and a record low of 80.200 Ratio in 2016. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 80.20 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate: Under-5: Male: per 1000 Live Births
GW: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 90.300 Ratio in 2017. This records a decrease from the previous number of 97.300 Ratio for 2015. GW: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 121.400 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 235.000 Ratio in 1990 and a record low of 90.300 Ratio in 2017. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 95.50 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Guinea-Bissau GW: Mortality Rate: Under-5: per 1000 Live Births
GW: Mortality Rate: Under-5: per 1000 Live Births data was reported at 84.200 Ratio in 2017. This records a decrease from the previous number of 87.400 Ratio for 2016. GW: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 170.200 Ratio from Dec 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 244.500 Ratio in 1985 and a record low of 84.200 Ratio in 2017. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 88.10 2016 | yearly | 1985 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality Rate: Under-5: per 1000 Live Births from 1985 to 2016 in the chart:
Guinea-Bissau GW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
GW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 20.000 % in 2016. This records an increase from the previous number of 19.800 % for 2015. GW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 21.500 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 23.400 % in 2000 and a record low of 19.800 % in 2015. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 19.00 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2015 in the chart:
Guinea-Bissau GW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
GW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 19.900 NA in 2016. This records an increase from the previous number of 19.700 NA for 2015. GW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 21.000 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 23.200 NA in 2000 and a record low of 19.700 NA in 2015. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 19.900 2016 | yearly | 2000 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Guinea-Bissau GW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
GW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 20.200 NA in 2016. This records an increase from the previous number of 20.000 NA for 2015. GW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 22.000 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 23.600 NA in 2000 and a record low of 20.000 NA in 2015. GW: 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 Guinea-Bissau – Table GW.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 |
|---|---|---|
| 20.200 2016 | yearly | 2000 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Guinea-Bissau GW: Newborns Protected Against Tetanus
GW: Newborns Protected Against Tetanus data was reported at 80.000 % in 2016. This stayed constant from the previous number of 80.000 % for 2015. GW: Newborns Protected Against Tetanus data is updated yearly, averaging 62.500 % from Dec 1985 (Median) to 2016, with 32 observations. The data reached an all-time high of 94.000 % in 2009 and a record low of 10.000 % in 1985. GW: Newborns Protected Against Tetanus data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank: Health Statistics. Newborns protected against tetanus are the percentage of births by women of child-bearing age who are immunized against tetanus.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 80.00 2016 | yearly | 1985 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Newborns Protected Against Tetanus from 1985 to 2016 in the chart:
Guinea-Bissau GW: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14)
GW: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 1,300.000 Number in 2016. This records a decrease from the previous number of 1,500.000 Number for 2015. GW: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 2,600.000 Number from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 5,400.000 Number in 2003 and a record low of 500.000 Number in 1991. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 1,300.00 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) from 1990 to 2016 in the chart:
Guinea-Bissau GW: Newly Infected with HIV: Adults: Aged 15+
GW: Newly Infected with HIV: Adults: Aged 15+ data was reported at 1,100.000 Number in 2016. This stayed constant from the previous number of 1,100.000 Number for 2015. GW: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 1,900.000 Number from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 4,700.000 Number in 2003 and a record low of 500.000 Number in 1991. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 1,100.00 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2016 in the chart:
Guinea-Bissau GW: Newly Infected with HIV: Children: Aged 0-14
GW: Newly Infected with HIV: Children: Aged 0-14 data was reported at 500.000 Number in 2016. This stayed constant from the previous number of 500.000 Number for 2015. GW: Newly Infected with HIV: Children: Aged 0-14 data is updated yearly, averaging 500.000 Number from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 1,000.000 Number in 2012 and a record low of 100.000 Number in 1994. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Number of children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 500.00 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Newly Infected with HIV: Children: Aged 0-14 from 1990 to 2016 in the chart:
Guinea-Bissau GW: Number of Death: Infant
GW: Number of Death: Infant data was reported at 3,673.000 Person in 2017. This records a decrease from the previous number of 3,756.000 Person for 2016. GW: Number of Death: Infant data is updated yearly, averaging 5,215.500 Person from Dec 1986 (Median) to 2017, with 32 observations. The data reached an all-time high of 6,150.000 Person in 1986 and a record low of 3,673.000 Person in 2017. GW: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Number of infants dying before reaching one year of age.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 3,784.00 2016 | yearly | 1986 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Number of Death: Infant from 1986 to 2016 in the chart:
Guinea-Bissau GW: Number of Death: Neonatal
GW: Number of Death: Neonatal data was reported at 2,495.000 Person in 2017. This records a decrease from the previous number of 2,526.000 Person for 2016. GW: Number of Death: Neonatal data is updated yearly, averaging 2,833.000 Person from Dec 1988 (Median) to 2017, with 30 observations. The data reached an all-time high of 3,037.000 Person in 1993 and a record low of 2,495.000 Person in 2017. GW: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Number of neonates dying before reaching 28 days of age.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 2,536.00 2016 | yearly | 1988 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Number of Death: Neonatal from 1988 to 2016 in the chart:
Guinea-Bissau GW: Number of Death: Under-5
GW: Number of Death: Under-5 data was reported at 5,524.000 Person in 2017. This records a decrease from the previous number of 5,671.000 Person for 2016. GW: Number of Death: Under-5 data is updated yearly, averaging 8,121.500 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 10,158.000 Person in 1990 and a record low of 5,524.000 Person in 2017. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Number of children dying before reaching age five.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 5,715.00 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Number of Death: Under-5 from 1990 to 2016 in the chart:
Guinea-Bissau GW: Number of Deaths Ages 10-14 Years
GW: Number of Deaths Ages 10-14 Years data was reported at 167.000 Person in 2019. This stayed constant from the previous number of 167.000 Person for 2018. GW: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 164.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 289.000 Person in 1998 and a record low of 123.000 Person in 2003. GW: 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 Guinea-Bissau – Table GW.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 |
|---|---|---|
| 167.000 2019 | yearly | 1990 - 2019 |
View Guinea-Bissau's Guinea-Bissau GW: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Guinea-Bissau GW: Number of Deaths Ages 15-19 Years
GW: Number of Deaths Ages 15-19 Years data was reported at 429.000 Person in 2019. This stayed constant from the previous number of 429.000 Person for 2018. GW: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 450.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 593.000 Person in 1998 and a record low of 401.000 Person in 1990. GW: 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 Guinea-Bissau – Table GW.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 |
|---|---|---|
| 429.000 2019 | yearly | 1990 - 2019 |
View Guinea-Bissau's Guinea-Bissau GW: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Guinea-Bissau GW: Number of Deaths Ages 20-24 Years
GW: Number of Deaths Ages 20-24 Years data was reported at 492.000 Person in 2019. This records a decrease from the previous number of 494.000 Person for 2018. GW: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 500.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 646.000 Person in 1998 and a record low of 399.000 Person in 1990. GW: 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 Guinea-Bissau – Table GW.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 |
|---|---|---|
| 492.000 2019 | yearly | 1990 - 2019 |
View Guinea-Bissau's Guinea-Bissau GW: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Guinea-Bissau GW: Number of Deaths Ages 5-14 Years
GW: Number of Deaths Ages 5-14 Years data was reported at 846.000 Person in 2016. This records a decrease from the previous number of 852.000 Person for 2015. GW: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 936.000 Person from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 1,073.000 Person in 1990 and a record low of 846.000 Person in 2016. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Number of deaths of children ages 5-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 846.00 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Guinea-Bissau GW: Number of Deaths Ages 5-9 Years
GW: Number of Deaths Ages 5-9 Years data was reported at 659.000 Person in 2019. This records a decrease from the previous number of 668.000 Person for 2018. GW: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 909.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1,025.000 Person in 1991 and a record low of 659.000 Person in 2019. GW: 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 Guinea-Bissau – Table GW.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 |
|---|---|---|
| 659.000 2019 | yearly | 1990 - 2019 |
View Guinea-Bissau's Guinea-Bissau GW: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Guinea-Bissau GW: Number of Maternal Death
GW: Number of Maternal Death data was reported at 370.000 Person in 2015. This stayed constant from the previous number of 370.000 Person for 2014. GW: Number of Maternal Death data is updated yearly, averaging 400.000 Person from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 440.000 Person in 2002 and a record low of 360.000 Person in 2012. GW: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank: Health Statistics. A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Sum;
| Last | Frequency | Range |
|---|---|---|
| 370.00 2015 | yearly | 1990 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: Number of Maternal Death from 1990 to 2015 in the chart:
Guinea-Bissau GW: Nurses and Midwives: per 1000 People
GW: Nurses and Midwives: per 1000 People data was reported at 0.551 Ratio in 2010. This records a decrease from the previous number of 0.653 Ratio for 2009. GW: Nurses and Midwives: per 1000 People data is updated yearly, averaging 0.631 Ratio from Dec 2004 (Median) to 2010, with 4 observations. The data reached an all-time high of 0.749 Ratio in 2004 and a record low of 0.551 Ratio in 2010. GW: 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 Guinea-Bissau – Table GW.World Bank: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.55 2010 | yearly | 2004 - 2010 |
View Guinea-Bissau's Guinea-Bissau GW: Nurses and Midwives: per 1000 People from 2004 to 2010 in the chart:
Guinea-Bissau GW: People Practicing Open Defecation: % of Population
GW: People Practicing Open Defecation: % of Population data was reported at 16.063 % in 2015. This records a decrease from the previous number of 17.191 % for 2014. GW: People Practicing Open Defecation: % of Population data is updated yearly, averaging 25.275 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 35.954 % in 2000 and a record low of 16.063 % in 2015. GW: People Practicing Open Defecation: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 16.06 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
Guinea-Bissau GW: People Practicing Open Defecation: Rural: % of Rural Population
GW: People Practicing Open Defecation: Rural: % of Rural Population data was reported at 29.940 % in 2015. This records a decrease from the previous number of 31.584 % for 2014. GW: People Practicing Open Defecation: Rural: % of Rural Population data is updated yearly, averaging 42.271 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 54.602 % in 2000 and a record low of 29.940 % in 2015. GW: People Practicing Open Defecation: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 29.94 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: People Practicing Open Defecation: Rural: % of Rural Population from 2000 to 2015 in the chart:
Guinea-Bissau GW: People Practicing Open Defecation: Urban: % of Urban Population
GW: People Practicing Open Defecation: Urban: % of Urban Population data was reported at 1.811 % in 2015. This records a decrease from the previous number of 1.939 % for 2014. GW: People Practicing Open Defecation: Urban: % of Urban Population data is updated yearly, averaging 2.769 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 3.726 % in 2000 and a record low of 1.811 % in 2015. GW: People Practicing Open Defecation: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 1.81 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: People Practicing Open Defecation: Urban: % of Urban Population from 2000 to 2015 in the chart:
Guinea-Bissau GW: People Using Basic Drinking Water Services: % of Population
GW: People Using Basic Drinking Water Services: % of Population data was reported at 69.197 % in 2015. This records an increase from the previous number of 68.134 % for 2014. GW: People Using Basic Drinking Water Services: % of Population data is updated yearly, averaging 61.052 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 69.197 % in 2015 and a record low of 52.788 % in 2000. GW: People Using Basic Drinking Water Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 69.20 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: People Using Basic Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Guinea-Bissau GW: People Using Basic Drinking Water Services: Rural: % of Rural Population
GW: People Using Basic Drinking Water Services: Rural: % of Rural Population data was reported at 53.811 % in 2015. This records an increase from the previous number of 52.944 % for 2014. GW: People Using Basic Drinking Water Services: Rural: % of Rural Population data is updated yearly, averaging 47.313 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 53.811 % in 2015 and a record low of 40.816 % in 2000. GW: People Using Basic Drinking Water Services: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 53.81 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: People Using Basic Drinking Water Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Guinea-Bissau GW: People Using Basic Drinking Water Services: Urban: % of Urban Population
GW: People Using Basic Drinking Water Services: Urban: % of Urban Population data was reported at 84.999 % in 2015. This records an increase from the previous number of 84.231 % for 2014. GW: People Using Basic Drinking Water Services: Urban: % of Urban Population data is updated yearly, averaging 79.240 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 84.999 % in 2015 and a record low of 73.480 % in 2000. GW: People Using Basic Drinking Water Services: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 85.00 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: People Using Basic Drinking Water Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Guinea-Bissau GW: People Using Basic Sanitation Services: % of Population
GW: People Using Basic Sanitation Services: % of Population data was reported at 21.466 % in 2015. This records an increase from the previous number of 20.811 % for 2014. GW: People Using Basic Sanitation Services: % of Population data is updated yearly, averaging 16.574 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 21.466 % in 2015 and a record low of 11.967 % in 2000. GW: People Using Basic Sanitation Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 21.47 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: People Using Basic Sanitation Services: % of Population from 2000 to 2015 in the chart:
Guinea-Bissau GW: People Using Basic Sanitation Services: Rural: % of Rural Population
GW: People Using Basic Sanitation Services: Rural: % of Rural Population data was reported at 8.423 % in 2015. This records an increase from the previous number of 8.130 % for 2014. GW: People Using Basic Sanitation Services: Rural: % of Rural Population data is updated yearly, averaging 6.229 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 8.423 % in 2015 and a record low of 4.034 % in 2000. GW: People Using Basic Sanitation Services: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 8.42 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: People Using Basic Sanitation Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Guinea-Bissau GW: People Using Basic Sanitation Services: Urban: % of Urban Population
GW: People Using Basic Sanitation Services: Urban: % of Urban Population data was reported at 34.862 % in 2015. This records an increase from the previous number of 34.250 % for 2014. GW: People Using Basic Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 30.269 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 34.862 % in 2015 and a record low of 25.676 % in 2000. GW: People Using Basic Sanitation Services: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 34.86 2015 | yearly | 2000 - 2015 |
View Guinea-Bissau's Guinea-Bissau GW: People Using Basic Sanitation Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Guinea-Bissau GW: Physicians: per 1000 People
GW: Physicians: per 1000 People data was reported at 0.045 Ratio in 2010. This records a decrease from the previous number of 0.078 Ratio for 2009. GW: Physicians: per 1000 People data is updated yearly, averaging 0.105 Ratio from Dec 1960 (Median) to 2010, with 10 observations. The data reached an all-time high of 0.177 Ratio in 1994 and a record low of 0.045 Ratio in 2010. GW: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guinea-Bissau – Table GW.World Bank.WDI: Health Statistics. Physicians include generalist and specialist medical practitioners.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.04 2010 | yearly | 1960 - 2010 |
View Guinea-Bissau's Guinea-Bissau GW: Physicians: per 1000 People from 1960 to 2010 in the chart:
Guinea-Bissau GW: Pregnant Women Receiving Prenatal Care
GW: Pregnant Women Receiving Prenatal Care data was reported at 92.400 % in 2014. This records a decrease from the previous number of 92.600 % for 2010. GW: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 85.150 % from Dec 2000 (Median) to 2014, with 4 observations. The data reached an all-time high of 92.600 % in 2010 and a record low of 62.100 % in 2000. GW: 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 Guinea-Bissau – Table GW.World Bank: 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 |
|---|---|---|
| 92.40 2014 | yearly | 2000 - 2014 |
View Guinea-Bissau's Guinea-Bissau GW: Pregnant Women Receiving Prenatal Care from 2000 to 2014 in the chart:
Guinea-Bissau GW: Prevalence of Anemia among Children: % of Children Under 5
GW: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 68.100 % in 2016. This records a decrease from the previous number of 68.400 % for 2015. GW: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 74.100 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 79.800 % in 1990 and a record low of 68.100 % in 2016. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: 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 |
|---|---|---|
| 68.10 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Guinea-Bissau GW: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49
GW: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data was reported at 43.100 % in 2016. This records an increase from the previous number of 42.900 % for 2015. GW: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data is updated yearly, averaging 46.400 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 52.000 % in 1990 and a record low of 42.900 % in 2015. GW: 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 Guinea-Bissau – Table GW.World Bank: 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 (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 43.10 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Guinea-Bissau GW: Prevalence of Anemia among Pregnant Women: %
GW: Prevalence of Anemia among Pregnant Women: % data was reported at 50.500 % in 2016. This records a decrease from the previous number of 50.700 % for 2015. GW: Prevalence of Anemia among Pregnant Women: % data is updated yearly, averaging 54.500 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 56.300 % in 1993 and a record low of 50.500 % in 2016. GW: 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 Guinea-Bissau – Table GW.World Bank: 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 (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 50.50 2016 | yearly | 1990 - 2016 |
View Guinea-Bissau's Guinea-Bissau GW: Prevalence of Anemia among Pregnant Women: % from 1990 to 2016 in the chart:
Guinea-Bissau GW: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49
GW: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 43.800 % in 2016. This records an increase from the previous number of 43.700 % for 2015. GW: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 47.300 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 52.600 % in 1990 and a record low of 43.700 % in 2015. GW: 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 Guinea-Bissau – Table GW.World Bank.WDI: 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 (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 43.80 2016 | yearly | 1990 - 2016 |