Georgia Health Statistics
Georgia GE: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
GE: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 47.052 Ratio in 2016. This records a decrease from the previous number of 48.201 Ratio for 2015. GE: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 49.313 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 68.921 Ratio in 1992 and a record low of 28.415 Ratio in 1960. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 47.05 2016 | yearly | 1960 - 2016 |
View Georgia's Georgia GE: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2016 in the chart:
Georgia GE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
GE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 2.900 NA in 2016. This records a decrease from the previous number of 3.300 NA for 2010. GE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 3.100 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 3.300 NA in 2010 and a record low of 2.900 NA in 2016. GE: 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 Georgia – Table GE.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.900 2016 | yearly | 2010 - 2016 |
View Georgia's Georgia GE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Georgia GE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
GE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 17.700 NA in 2016. This records a decrease from the previous number of 18.600 NA for 2010. GE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 18.150 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 18.600 NA in 2010 and a record low of 17.700 NA in 2016. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 17.700 2016 | yearly | 2010 - 2016 |
View Georgia's Georgia GE: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Georgia GE: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV
GE: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data was reported at 85.000 % in 2017. This records an increase from the previous number of 79.000 % for 2016. GE: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data is updated yearly, averaging 90.000 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 95.000 % in 2015 and a record low of 62.000 % in 2012. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 46.00 2016 | yearly | 2010 - 2016 |
View Georgia's Georgia GE: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV from 2010 to 2016 in the chart:
Georgia GE: Antiretroviral Therapy Coverage: % of People Living with HIV
GE: Antiretroviral Therapy Coverage: % of People Living with HIV data was reported at 39.000 % in 2017. This records an increase from the previous number of 36.000 % for 2016. GE: Antiretroviral Therapy Coverage: % of People Living with HIV data is updated yearly, averaging 11.500 % from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 39.000 % in 2017 and a record low of 0.000 % in 2003. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 32.00 2016 | yearly | 2000 - 2016 |
View Georgia's Georgia GE: Antiretroviral Therapy Coverage: % of People Living with HIV from 2000 to 2016 in the chart:
Georgia GE: Births Attended by Skilled Health Staff: % of Total
GE: Births Attended by Skilled Health Staff: % of Total data was reported at 99.900 % in 2015. This stayed constant from the previous number of 99.900 % for 2014. GE: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 97.500 % from Dec 1989 (Median) to 2015, with 23 observations. The data reached an all-time high of 99.900 % in 2015 and a record low of 90.800 % in 1993. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 99.90 2014 | yearly | 1989 - 2014 |
View Georgia's Georgia GE: Births Attended by Skilled Health Staff: % of Total from 1989 to 2014 in the chart:
Georgia GE: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
GE: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 2.700 % in 2016. This records a decrease from the previous number of 2.800 % for 2015. GE: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 3.000 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 5.100 % in 2000 and a record low of 2.700 % in 2016. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 2.90 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2015 in the chart:
Georgia GE: Cause of Death: by Injury: % of Total
GE: Cause of Death: by Injury: % of Total data was reported at 3.600 % in 2016. This records a decrease from the previous number of 3.800 % for 2015. GE: Cause of Death: by Injury: % of Total data is updated yearly, averaging 3.950 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 4.200 % in 2010 and a record low of 3.600 % in 2016. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 3.60 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: Cause of Death: by Injury: % of Total from 2000 to 2015 in the chart:
Georgia GE: Cause of Death: by Non-Communicable Diseases: % of Total
GE: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 93.700 % in 2016. This records an increase from the previous number of 93.400 % for 2015. GE: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 93.000 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 93.700 % in 2016 and a record low of 90.800 % in 2000. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 93.40 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2015 in the chart:
Georgia GE: Children: 0-14 Living with HIV
GE: Children: 0-14 Living with HIV data was reported at 100.000 Person in 2017. This stayed constant from the previous number of 100.000 Person for 2016. GE: Children: 0-14 Living with HIV data is updated yearly, averaging 100.000 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 100.000 Person in 2017 and a record low of 100.000 Person in 2017. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 100.00 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Children: 0-14 Living with HIV from 1990 to 2016 in the chart:
Georgia GE: Completeness of Infant Death Reporting
GE: Completeness of Infant Death Reporting data was reported at 49.297 % in 2010. This records a decrease from the previous number of 62.803 % for 2008. GE: Completeness of Infant Death Reporting data is updated yearly, averaging 49.297 % from Dec 2007 (Median) to 2010, with 3 observations. The data reached an all-time high of 62.803 % in 2008 and a record low of 41.837 % in 2007. GE: Completeness of Infant Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Health Statistics. Completeness of infant death reporting is the number of infant deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of infant deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; ;
| Last | Frequency | Range |
|---|---|---|
| 49.30 2010 | yearly | 2007 - 2010 |
View Georgia's Georgia GE: Completeness of Infant Death Reporting from 2007 to 2010 in the chart:
Georgia GE: Completeness of Total Death Reporting
GE: Completeness of Total Death Reporting data was reported at 97.176 % in 2010. This records an increase from the previous number of 88.395 % for 2008. GE: Completeness of Total Death Reporting data is updated yearly, averaging 88.395 % from Dec 2007 (Median) to 2010, with 3 observations. The data reached an all-time high of 97.176 % in 2010 and a record low of 85.292 % in 2007. GE: Completeness of Total Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Health Statistics. Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 97.18 2010 | yearly | 2007 - 2010 |
View Georgia's Georgia GE: Completeness of Total Death Reporting from 2007 to 2010 in the chart:
Georgia GE: Consumption of Iodized Salt: % of Households
GE: Consumption of Iodized Salt: % of Households data was reported at 99.900 % in 2009. GE: Consumption of Iodized Salt: % of Households data is updated yearly, averaging 99.900 % from Dec 2009 (Median) to 2009, with 1 observations. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 99.90 2009 | yearly | 2009 - 2009 |
View Georgia's Georgia GE: Consumption of Iodized Salt: % of Households from 2009 to 2009 in the chart:
Georgia GE: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
GE: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 53.400 % in 2010. This records an increase from the previous number of 35.500 % for 2009. GE: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 45.600 % from Dec 2000 (Median) to 2010, with 5 observations. The data reached an all-time high of 53.400 % in 2010 and a record low of 35.500 % in 2009. GE: 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 Georgia – Table GE.World Bank.WDI: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for women ages 15-49 who are married or in union.; ; UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.; Weighted average; Contraceptive prevalence amongst women of reproductive age is an indicator of women's empowerment and is related to maternal health, HIV/AIDS, and gender equality.
| Last | Frequency | Range |
|---|---|---|
| 53.40 2010 | yearly | 2000 - 2010 |
View Georgia's Georgia GE: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 from 2000 to 2010 in the chart:
Georgia GE: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49
GE: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data was reported at 34.700 % in 2010. This records an increase from the previous number of 26.700 % for 2009. GE: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data is updated yearly, averaging 26.700 % from Dec 2000 (Median) to 2010, with 5 observations. The data reached an all-time high of 34.700 % in 2010 and a record low of 19.800 % in 2000. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 34.70 2010 | yearly | 2000 - 2010 |
View Georgia's Georgia GE: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 from 2000 to 2010 in the chart:
Georgia GE: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
GE: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 52.800 % in 2010. This records an increase from the previous number of 41.800 % for 2005. GE: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 41.800 % from Dec 2000 (Median) to 2010, with 3 observations. The data reached an all-time high of 52.800 % in 2010 and a record low of 30.800 % in 2000. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 52.80 2010 | yearly | 2000 - 2010 |
View Georgia's Georgia GE: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning from 2000 to 2010 in the chart:
Georgia GE: Depth of the Food Deficit: Kilocalories per Person per Day
GE: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 55.000 kcal in 2016. This records a decrease from the previous number of 60.000 kcal for 2015. GE: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 80.000 kcal from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 744.000 kcal in 1993 and a record low of 46.000 kcal in 2007. GE: 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 Georgia – Table GE.World Bank: 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 |
|---|---|---|
| 55.00 2016 | yearly | 1992 - 2016 |
View Georgia's Georgia GE: Depth of the Food Deficit: Kilocalories per Person per Day from 1992 to 2016 in the chart:
Georgia GE: Diabetes Prevalence: % of Population Aged 20-79
GE: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 7.110 % in 2017. GE: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 7.110 % from Dec 2017 (Median) to 2017, with 1 observations. GE: 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 Georgia – Table GE.World Bank: 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 |
|---|---|---|
| 7.11 2017 | yearly | 2017 - 2017 |
View Georgia's Georgia GE: Diabetes Prevalence: % of Population Aged 20-79 from 2017 to 2017 in the chart:
Georgia GE: Exclusive Breastfeeding: % of Children under 6 Months
GE: Exclusive Breastfeeding: % of Children under 6 Months data was reported at 54.800 % in 2009. This records an increase from the previous number of 11.841 % for 2005. GE: Exclusive Breastfeeding: % of Children under 6 Months data is updated yearly, averaging 18.000 % from Dec 1999 (Median) to 2009, with 3 observations. The data reached an all-time high of 54.800 % in 2009 and a record low of 11.841 % in 2005. GE: 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 Georgia – Table GE.World Bank: Health Statistics. Exclusive breastfeeding refers to the percentage of children less than six months old who are fed breast milk alone (no other liquids) in the past 24 hours.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 54.80 2009 | yearly | 1999 - 2009 |
View Georgia's Georgia GE: Exclusive Breastfeeding: % of Children under 6 Months from 1999 to 2009 in the chart:
Georgia GE: Female Adults with HIV: % of Population Aged 15+ with HIV
GE: Female Adults with HIV: % of Population Aged 15+ with HIV data was reported at 19.600 % in 2017. This records an increase from the previous number of 19.200 % for 2016. GE: Female Adults with HIV: % of Population Aged 15+ with HIV data is updated yearly, averaging 27.900 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 41.200 % in 1990 and a record low of 18.800 % in 2014. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 30.80 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Female Adults with HIV: % of Population Aged 15+ with HIV from 1990 to 2016 in the chart:
Georgia GE: Fertility Rate: Total: Births per Woman
GE: Fertility Rate: Total: Births per Woman data was reported at 1.996 Ratio in 2016. This records a decrease from the previous number of 2.003 Ratio for 2015. GE: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 2.243 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 2.943 Ratio in 1961 and a record low of 1.586 Ratio in 2002. GE: 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 Georgia – Table GE.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.
| Last | Frequency | Range |
|---|---|---|
| 2.00 2016 | yearly | 1960 - 2016 |
View Georgia's Georgia GE: Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
Georgia GE: Hospital Beds: per 1000 People
GE: Hospital Beds: per 1000 People data was reported at 2.600 Number in 2012. This records a decrease from the previous number of 2.910 Number for 2011. GE: Hospital Beds: per 1000 People data is updated yearly, averaging 5.860 Number from Dec 1980 (Median) to 2012, with 25 observations. The data reached an all-time high of 10.171 Number in 1980 and a record low of 2.600 Number in 2012. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 2.60 2012 | yearly | 1980 - 2012 |
View Georgia's Georgia GE: Hospital Beds: per 1000 People from 1980 to 2012 in the chart:
Georgia GE: Immunization: DPT: % of Children Aged 12-23 Months
GE: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 92.000 % in 2016. This records a decrease from the previous number of 94.000 % for 2015. GE: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 84.000 % from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 98.000 % in 2007 and a record low of 54.000 % in 1993. GE: 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 Georgia – Table GE.World Bank: Health Statistics. Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 92.00 2016 | yearly | 1992 - 2016 |
View Georgia's Georgia GE: Immunization: DPT: % of Children Aged 12-23 Months from 1992 to 2016 in the chart:
Georgia GE: Immunization: HepB3: % of One-Year-Old Children
GE: Immunization: HepB3: % of One-Year-Old Children data was reported at 92.000 % in 2016. This records a decrease from the previous number of 94.000 % for 2015. GE: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 89.000 % from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 96.000 % in 2013 and a record low of 48.000 % in 2003. GE: 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 Georgia – Table GE.World Bank: Health Statistics. Child immunization rate, hepatitis B is the percentage of children ages 12-23 months who received hepatitis B vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized after three doses.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 92.00 2016 | yearly | 2000 - 2016 |
View Georgia's Georgia GE: Immunization: HepB3: % of One-Year-Old Children from 2000 to 2016 in the chart:
Georgia GE: Immunization: Measles: % of Children Aged 12-23 Months
GE: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 95.000 % in 2017. This records an increase from the previous number of 93.000 % for 2016. GE: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 84.500 % from Dec 1992 (Median) to 2017, with 26 observations. The data reached an all-time high of 97.000 % in 2013 and a record low of 16.000 % in 1992. GE: 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 Georgia – Table GE.World Bank: Health Statistics. Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 93.00 2016 | yearly | 1992 - 2016 |
View Georgia's Georgia GE: Immunization: Measles: % of Children Aged 12-23 Months from 1992 to 2016 in the chart:
Georgia GE: Incidence of HIV: % of Uninfected Population Aged 15-49
GE: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.050 % in 2016. This stayed constant from the previous number of 0.050 % for 2015. GE: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.020 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 0.050 % in 2016 and a record low of 0.010 % in 2000. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.05 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2016 in the chart:
Georgia GE: Incidence of Malaria: per 1,000 Population at Risk
GE: Incidence of Malaria: per 1,000 Population at Risk data was reported at 0.000 Number in 2015. This stayed constant from the previous number of 0.000 Number for 2010. GE: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 3.800 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 11.300 Number in 2000 and a record low of 0.000 Number in 2015. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: Incidence of Malaria: per 1,000 Population at Risk from 2000 to 2015 in the chart:
Georgia GE: Incidence of Tuberculosis: per 100,000 People
GE: Incidence of Tuberculosis: per 100,000 People data was reported at 92.000 Ratio in 2016. This records a decrease from the previous number of 99.000 Ratio for 2015. GE: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 140.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 254.000 Ratio in 2000 and a record low of 92.000 Ratio in 2016. GE: 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 Georgia – Table GE.World Bank: Health Statistics. Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.; ; World Health Organization, Global Tuberculosis Report.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 92.00 2016 | yearly | 2000 - 2016 |
View Georgia's Georgia GE: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Georgia GE: Intentional Homicides: Female: per 100,000 Female
GE: Intentional Homicides: Female: per 100,000 Female data was reported at 1.650 Ratio in 2016. This records an increase from the previous number of 1.603 Ratio for 2014. GE: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 1.650 Ratio from Dec 2004 (Median) to 2016, with 9 observations. The data reached an all-time high of 3.042 Ratio in 2005 and a record low of 1.260 Ratio in 2010. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 1.65 2016 | yearly | 2004 - 2016 |
View Georgia's Georgia GE: Intentional Homicides: Female: per 100,000 Female from 2004 to 2016 in the chart:
Georgia GE: Intentional Homicides: Male: per 100,000 Male
GE: Intentional Homicides: Male: per 100,000 Male data was reported at 0.266 Ratio in 2016. This records a decrease from the previous number of 3.913 Ratio for 2014. GE: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 10.700 Ratio from Dec 2004 (Median) to 2016, with 9 observations. The data reached an all-time high of 15.617 Ratio in 2005 and a record low of 0.266 Ratio in 2016. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.27 2016 | yearly | 2004 - 2016 |
View Georgia's Georgia GE: Intentional Homicides: Male: per 100,000 Male from 2004 to 2016 in the chart:
Georgia GE: Intentional Homicides: per 100,000 People
GE: Intentional Homicides: per 100,000 People data was reported at 0.990 Ratio in 2016. This records a decrease from the previous number of 2.705 Ratio for 2014. GE: Intentional Homicides: per 100,000 People data is updated yearly, averaging 5.708 Ratio from Dec 1995 (Median) to 2016, with 18 observations. The data reached an all-time high of 8.982 Ratio in 2005 and a record low of 0.990 Ratio in 2016. GE: 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 Georgia – Table GE.World Bank.WDI: 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 |
|---|---|---|
| 2.70 2014 | yearly | 1995 - 2014 |
View Georgia's Georgia GE: Intentional Homicides: per 100,000 People from 1995 to 2014 in the chart:
Georgia GE: Life Expectancy at Birth: Female
GE: Life Expectancy at Birth: Female data was reported at 77.482 Year in 2016. This records an increase from the previous number of 77.329 Year for 2015. GE: Life Expectancy at Birth: Female data is updated yearly, averaging 73.886 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 77.482 Year in 2016 and a record low of 67.365 Year in 1960. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 77.48 2016 | yearly | 1960 - 2016 |
View Georgia's Georgia GE: Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
Georgia GE: Life Expectancy at Birth: Male
GE: Life Expectancy at Birth: Male data was reported at 68.984 Year in 2016. This records an increase from the previous number of 68.811 Year for 2015. GE: Life Expectancy at Birth: Male data is updated yearly, averaging 66.214 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 68.984 Year in 2016 and a record low of 59.686 Year in 1960. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 68.98 2016 | yearly | 1960 - 2016 |
View Georgia's Georgia GE: Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
Georgia GE: Life Expectancy at Birth: Total
GE: Life Expectancy at Birth: Total data was reported at 73.261 Year in 2016. This records an increase from the previous number of 73.096 Year for 2015. GE: Life Expectancy at Birth: Total data is updated yearly, averaging 70.220 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 73.261 Year in 2016 and a record low of 63.651 Year in 1960. GE: 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 Georgia – Table GE.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 73.26 2016 | yearly | 1960 - 2016 |
View Georgia's Georgia GE: Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
Georgia GE: Lifetime Risk Of Maternal Death
GE: Lifetime Risk Of Maternal Death data was reported at 0.068 % in 2015. This records a decrease from the previous number of 0.069 % for 2014. GE: Lifetime Risk Of Maternal Death data is updated yearly, averaging 0.065 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 0.080 % in 1990 and a record low of 0.056 % in 1993. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.07 2015 | yearly | 1990 - 2015 |
View Georgia's Georgia GE: Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
Georgia GE: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
GE: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 1,500.000 NA in 2015. This records an increase from the previous number of 1,400.000 NA for 2014. GE: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 1,500.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 1,800.000 NA in 1993 and a record low of 1,200.000 NA in 1990. GE: 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 Georgia – Table GE.World Bank: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1,500.00 2015 | yearly | 1990 - 2015 |
View Georgia's Georgia GE: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
Georgia GE: Low-Birthweight Babies: % of Births
GE: Low-Birthweight Babies: % of Births data was reported at 6.500 % in 2012. This records an increase from the previous number of 4.500 % for 2011. GE: Low-Birthweight Babies: % of Births data is updated yearly, averaging 5.200 % from Dec 2001 (Median) to 2012, with 6 observations. The data reached an all-time high of 7.300 % in 2003 and a record low of 4.500 % in 2011. GE: 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 Georgia – Table GE.World Bank: Health Statistics. Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hours of life, before significant postnatal weight loss has occurred.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 6.50 2012 | yearly | 2001 - 2012 |
View Georgia's Georgia GE: Low-Birthweight Babies: % of Births from 2001 to 2012 in the chart:
Georgia GE: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
GE: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 36.000 Ratio in 2015. This records a decrease from the previous number of 37.000 Ratio for 2014. GE: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 37.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 40.000 Ratio in 2010 and a record low of 27.000 Ratio in 1993. GE: 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 Georgia – Table GE.World Bank.WDI: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).; ; WHO, UNICEF, UNFPA, World Bank Group, and 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 |
|---|---|---|
| 36.00 2015 | yearly | 1990 - 2015 |
View Georgia's Georgia GE: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
Georgia GE: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
GE: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 22.900 Ratio in 2013. This records a decrease from the previous number of 27.600 Ratio for 2011. GE: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 23.200 Ratio from Dec 2003 (Median) to 2013, with 8 observations. The data reached an all-time high of 52.000 Ratio in 2009 and a record low of 14.100 Ratio in 2008. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 22.90 2013 | yearly | 2003 - 2013 |
View Georgia's Georgia GE: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 2003 to 2013 in the chart:
Georgia GE: Mortality Caused by Road Traffic Injury: per 100,000 People
GE: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 11.600 Number in 2015. This records a decrease from the previous number of 16.600 Number for 2010. GE: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 12.050 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 16.600 Number in 2010 and a record low of 10.800 Number in 2000. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 11.60 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
Georgia GE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
GE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 73.000 NA in 2016. GE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 73.000 NA from Dec 2016 (Median) to 2016, with 1 observations. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 73.000 2016 | yearly | 2016 - 2016 |
View Georgia's Georgia GE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Georgia GE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
GE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 140.000 NA in 2016. GE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 140.000 NA from Dec 2016 (Median) to 2016, with 1 observations. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 140.000 2016 | yearly | 2016 - 2016 |
View Georgia's Georgia GE: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Georgia GE: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
GE: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 101.800 Ratio in 2016. GE: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 101.800 Ratio from Dec 2016 (Median) to 2016, with 1 observations. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 101.80 2016 | yearly | 2016 - 2016 |
View Georgia's Georgia GE: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Georgia GE: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
GE: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 0.500 Ratio in 2016. This stayed constant from the previous number of 0.500 Ratio for 2015. GE: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 0.500 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.600 Ratio in 2000 and a record low of 0.400 Ratio in 2010. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.50 2016 | yearly | 2000 - 2016 |
View Georgia's Georgia GE: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Georgia GE: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
GE: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 1.200 Ratio in 2016. This stayed constant from the previous number of 1.200 Ratio for 2015. GE: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 1.200 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 1.200 Ratio in 2016 and a record low of 1.000 Ratio in 2005. GE: 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 Georgia – Table GE.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.20 2016 | yearly | 2000 - 2016 |
View Georgia's Georgia GE: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Georgia GE: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
GE: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 0.800 Ratio in 2016. This stayed constant from the previous number of 0.800 Ratio for 2015. GE: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 0.800 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.900 Ratio in 2000 and a record low of 0.700 Ratio in 2005. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.80 2016 | yearly | 2000 - 2016 |
View Georgia's Georgia GE: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Georgia GE: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
GE: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 0.200 Ratio in 2016. GE: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 0.200 Ratio from Dec 2016 (Median) to 2016, with 1 observations. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.20 2016 | yearly | 2016 - 2016 |
View Georgia's Georgia GE: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Georgia GE: Mortality Rate: Adult: Female: per 1000 Female Adults
GE: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 77.783 Ratio in 2016. This records a decrease from the previous number of 78.849 Ratio for 2015. GE: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 86.914 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 145.739 Ratio in 1960 and a record low of 73.093 Ratio in 2002. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 77.78 2016 | yearly | 1960 - 2016 |
View Georgia's Georgia GE: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2016 in the chart:
Georgia GE: Mortality Rate: Adult: Male: per 1000 Male Adults
GE: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 223.800 Ratio in 2016. This records a decrease from the previous number of 226.521 Ratio for 2015. GE: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 224.854 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 305.978 Ratio in 1960 and a record low of 188.625 Ratio in 2002. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 223.80 2016 | yearly | 1960 - 2016 |
View Georgia's Georgia GE: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2016 in the chart:
Georgia GE: Mortality Rate: Infant: Female: per 1000 Live Births
GE: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 8.400 Ratio in 2017. This records a decrease from the previous number of 9.400 Ratio for 2015. GE: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 12.800 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 35.800 Ratio in 1990 and a record low of 8.400 Ratio in 2017. GE: 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 Georgia – Table GE.World Bank: 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 |
|---|---|---|
| 8.30 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Georgia GE: Mortality Rate: Infant: Male: per 1000 Live Births
GE: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 10.700 Ratio in 2016. This records a decrease from the previous number of 11.400 Ratio for 2015. GE: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 16.600 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 45.400 Ratio in 1990 and a record low of 10.700 Ratio in 2016. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 10.70 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Georgia GE: Mortality Rate: Infant: per 1000 Live Births
GE: Mortality Rate: Infant: per 1000 Live Births data was reported at 9.700 Ratio in 2017. This records a decrease from the previous number of 10.200 Ratio for 2016. GE: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 36.900 Ratio from Dec 1975 (Median) to 2017, with 43 observations. The data reached an all-time high of 56.200 Ratio in 1975 and a record low of 9.700 Ratio in 2017. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 9.50 2016 | yearly | 1975 - 2016 |
View Georgia's Georgia GE: Mortality Rate: Infant: per 1000 Live Births from 1975 to 2016 in the chart:
Georgia GE: Mortality Rate: Neonatal: per 1000 Live Births
GE: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 6.700 Ratio in 2017. This records a decrease from the previous number of 7.200 Ratio for 2016. GE: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 23.900 Ratio from Dec 1977 (Median) to 2017, with 41 observations. The data reached an all-time high of 27.900 Ratio in 1977 and a record low of 6.700 Ratio in 2017. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 7.10 2016 | yearly | 1977 - 2016 |
View Georgia's Georgia GE: Mortality Rate: Neonatal: per 1000 Live Births from 1977 to 2016 in the chart:
Georgia GE: Mortality Rate: Under-5: Female: per 1000 Live Births
GE: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 9.500 Ratio in 2017. This records a decrease from the previous number of 10.600 Ratio for 2015. GE: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 14.400 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 42.300 Ratio in 1990 and a record low of 9.500 Ratio in 2017. GE: 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 Georgia – Table GE.World Bank.WDI: 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 |
|---|---|---|
| 9.40 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Georgia GE: Mortality Rate: Under-5: Male: per 1000 Live Births
GE: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 12.100 Ratio in 2017. This records a decrease from the previous number of 13.500 Ratio for 2015. GE: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 18.600 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 52.800 Ratio in 1990 and a record low of 12.100 Ratio in 2017. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 12.00 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Georgia GE: Mortality Rate: Under-5: per 1000 Live Births
GE: Mortality Rate: Under-5: per 1000 Live Births data was reported at 10.700 Ratio in 2016. This records a decrease from the previous number of 11.400 Ratio for 2015. GE: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 43.200 Ratio from Dec 1975 (Median) to 2016, with 42 observations. The data reached an all-time high of 67.200 Ratio in 1975 and a record low of 10.700 Ratio in 2016. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 10.70 2016 | yearly | 1975 - 2016 |
View Georgia's Georgia GE: Mortality Rate: Under-5: per 1000 Live Births from 1975 to 2016 in the chart:
Georgia GE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
GE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 24.900 % in 2016. This stayed constant from the previous number of 24.900 % for 2015. GE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 24.900 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 25.000 % in 2010 and a record low of 23.000 % in 2005. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 22.00 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2015 in the chart:
Georgia GE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
GE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 15.900 NA in 2016. This records a decrease from the previous number of 16.100 NA for 2015. GE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 16.700 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 17.800 NA in 2000 and a record low of 15.900 NA in 2016. GE: 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 Georgia – Table GE.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 15.900 2016 | yearly | 2000 - 2016 |
View Georgia's Georgia GE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Georgia GE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
GE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 34.900 NA in 2016. This records an increase from the previous number of 34.700 NA for 2015. GE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 34.300 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 34.900 NA in 2016 and a record low of 30.100 NA in 2005. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 34.900 2016 | yearly | 2000 - 2016 |
View Georgia's Georgia GE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Georgia GE: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14)
GE: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 1,100.000 Number in 2016. This stayed constant from the previous number of 1,100.000 Number for 2015. GE: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 1,000.000 Number from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 1,200.000 Number in 2012 and a record low of 200.000 Number in 1994. GE: 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 Georgia – Table GE.World Bank: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 1,100.00 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) from 1990 to 2016 in the chart:
Georgia GE: Newly Infected with HIV: Adults: Aged 15+
GE: Newly Infected with HIV: Adults: Aged 15+ data was reported at 870.000 Number in 2017. This records a decrease from the previous number of 910.000 Number for 2016. GE: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 520.000 Number from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 1,000.000 Number in 2013 and a record low of 100.000 Number in 1995. GE: 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 Georgia – Table GE.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 Georgia's Georgia GE: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2016 in the chart:
Georgia GE: Newly Infected with HIV: Children: Aged 0-14
GE: Newly Infected with HIV: Children: Aged 0-14 data was reported at 100.000 Number in 2017. This stayed constant from the previous number of 100.000 Number for 2016. GE: Newly Infected with HIV: Children: Aged 0-14 data is updated yearly, averaging 100.000 Number from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 100.000 Number in 2017 and a record low of 100.000 Number in 2017. GE: 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 Georgia – Table GE.World Bank.WDI: Health Statistics. Number of children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Newly Infected with HIV: Children: Aged 0-14 from 1990 to 2016 in the chart:
Georgia GE: Number of Death: Infant
GE: Number of Death: Infant data was reported at 508.000 Person in 2017. This records a decrease from the previous number of 552.000 Person for 2016. GE: Number of Death: Infant data is updated yearly, averaging 2,429.500 Person from Dec 1976 (Median) to 2017, with 42 observations. The data reached an all-time high of 4,900.000 Person in 1976 and a record low of 508.000 Person in 2017. GE: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Health Statistics. Number of infants dying before reaching one year of age.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 515.00 2016 | yearly | 1976 - 2016 |
View Georgia's Georgia GE: Number of Death: Infant from 1976 to 2016 in the chart:
Georgia GE: Number of Death: Neonatal
GE: Number of Death: Neonatal data was reported at 346.000 Person in 2017. This records a decrease from the previous number of 386.000 Person for 2016. GE: Number of Death: Neonatal data is updated yearly, averaging 1,478.500 Person from Dec 1978 (Median) to 2017, with 40 observations. The data reached an all-time high of 2,507.000 Person in 1978 and a record low of 346.000 Person in 2017. GE: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: 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 |
|---|---|---|
| 380.00 2016 | yearly | 1978 - 2016 |
View Georgia's Georgia GE: Number of Death: Neonatal from 1978 to 2016 in the chart:
Georgia GE: Number of Death: Under-5
GE: Number of Death: Under-5 data was reported at 584.000 Person in 2016. This records a decrease from the previous number of 639.000 Person for 2015. GE: Number of Death: Under-5 data is updated yearly, averaging 2,495.000 Person from Dec 1980 (Median) to 2016, with 37 observations. The data reached an all-time high of 5,273.000 Person in 1980 and a record low of 584.000 Person in 2016. GE: 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 Georgia – Table GE.World Bank: Health Statistics. Number of children dying before reaching age five.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 584.00 2016 | yearly | 1980 - 2016 |
View Georgia's Georgia GE: Number of Death: Under-5 from 1980 to 2016 in the chart:
Georgia GE: Number of Deaths Ages 10-14 Years
GE: Number of Deaths Ages 10-14 Years data was reported at 62.000 Person in 2019. This records an increase from the previous number of 61.000 Person for 2018. GE: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 72.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 215.000 Person in 1993 and a record low of 59.000 Person in 2016. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 62.000 2019 | yearly | 1990 - 2019 |
View Georgia's Georgia GE: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Georgia GE: Number of Deaths Ages 15-19 Years
GE: Number of Deaths Ages 15-19 Years data was reported at 123.000 Person in 2019. This records a decrease from the previous number of 125.000 Person for 2018. GE: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 149.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 529.000 Person in 1993 and a record low of 123.000 Person in 2019. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 123.000 2019 | yearly | 1990 - 2019 |
View Georgia's Georgia GE: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Georgia GE: Number of Deaths Ages 20-24 Years
GE: Number of Deaths Ages 20-24 Years data was reported at 204.000 Person in 2019. This records a decrease from the previous number of 212.000 Person for 2018. GE: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 250.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1,053.000 Person in 1993 and a record low of 204.000 Person in 2019. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 204.000 2019 | yearly | 1990 - 2019 |
View Georgia's Georgia GE: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Georgia GE: Number of Deaths Ages 5-14 Years
GE: Number of Deaths Ages 5-14 Years data was reported at 132.000 Person in 2016. This records an increase from the previous number of 129.000 Person for 2015. GE: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 132.000 Person from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 639.000 Person in 1990 and a record low of 129.000 Person in 2015. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 132.00 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Georgia GE: Number of Deaths Ages 5-9 Years
GE: Number of Deaths Ages 5-9 Years data was reported at 64.000 Person in 2019. This records a decrease from the previous number of 65.000 Person for 2018. GE: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 64.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 202.000 Person in 1991 and a record low of 56.000 Person in 2011. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 64.000 2019 | yearly | 1990 - 2019 |
View Georgia's Georgia GE: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Georgia GE: Number of Maternal Death
GE: Number of Maternal Death data was reported at 19.000 Person in 2015. This records a decrease from the previous number of 20.000 Person for 2014. GE: Number of Maternal Death data is updated yearly, averaging 22.000 Person from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 31.000 Person in 1990 and a record low of 19.000 Person in 2015. GE: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.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 |
|---|---|---|
| 19.00 2015 | yearly | 1990 - 2015 |
View Georgia's Georgia GE: Number of Maternal Death from 1990 to 2015 in the chart:
Georgia GE: Number of Surgical Procedures: per 100,000 population
GE: Number of Surgical Procedures: per 100,000 population data was reported at 5,488.000 Number in 2014. GE: Number of Surgical Procedures: per 100,000 population data is updated yearly, averaging 5,488.000 Number from Dec 2014 (Median) to 2014, with 1 observations. GE: Number of Surgical Procedures: per 100,000 population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Health Statistics. The number of procedures undertaken in an operating theatre per 100,000 population per year in each country. A procedure is defined as the incision, excision, or manipulation of tissue that needs regional or general anaesthesia, or profound sedation to control pain.; ; The Lancet Commission on Global Surgery (www.lancetglobalsurgery.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 5,488.00 2014 | yearly | 2014 - 2014 |
View Georgia's Georgia GE: Number of Surgical Procedures: per 100,000 population from 2014 to 2014 in the chart:
Georgia GE: Nurses and Midwives: per 1000 People
GE: Nurses and Midwives: per 1000 People data was reported at 3.971 Ratio in 2014. This records an increase from the previous number of 3.898 Ratio for 2013. GE: Nurses and Midwives: per 1000 People data is updated yearly, averaging 3.898 Ratio from Dec 2006 (Median) to 2014, with 9 observations. The data reached an all-time high of 4.030 Ratio in 2006 and a record low of 3.239 Ratio in 2009. GE: 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 Georgia – Table GE.World Bank.WDI: 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 |
|---|---|---|
| 3.97 2014 | yearly | 2006 - 2014 |
View Georgia's Georgia GE: Nurses and Midwives: per 1000 People from 2006 to 2014 in the chart:
Georgia GE: People Practicing Open Defecation: % of Population
GE: People Practicing Open Defecation: % of Population data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. GE: People Practicing Open Defecation: % of Population data is updated yearly, averaging 0.532 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 1.083 % in 2002 and a record low of 0.000 % in 2015. GE: 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 Georgia – Table GE.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
Georgia GE: People Practicing Open Defecation: Rural: % of Rural Population
GE: People Practicing Open Defecation: Rural: % of Rural Population data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. GE: People Practicing Open Defecation: Rural: % of Rural Population data is updated yearly, averaging 1.124 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 2.270 % in 2007 and a record low of 0.000 % in 2015. GE: 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 Georgia – Table GE.World Bank.WDI: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: People Practicing Open Defecation: Rural: % of Rural Population from 2000 to 2015 in the chart:
Georgia GE: People Practicing Open Defecation: Urban: % of Urban Population
GE: People Practicing Open Defecation: Urban: % of Urban Population data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. GE: People Practicing Open Defecation: Urban: % of Urban Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. GE: 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 Georgia – Table GE.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: People Practicing Open Defecation: Urban: % of Urban Population from 2000 to 2015 in the chart:
Georgia GE: People Using Basic Drinking Water Services: % of Population
GE: People Using Basic Drinking Water Services: % of Population data was reported at 93.264 % in 2015. This records an increase from the previous number of 92.942 % for 2014. GE: People Using Basic Drinking Water Services: % of Population data is updated yearly, averaging 90.849 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 93.264 % in 2015 and a record low of 88.557 % in 2000. GE: 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 Georgia – Table GE.World Bank.WDI: 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 |
|---|---|---|
| 93.26 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: People Using Basic Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Georgia GE: People Using Basic Drinking Water Services: Rural: % of Rural Population
GE: People Using Basic Drinking Water Services: Rural: % of Rural Population data was reported at 87.319 % in 2015. This records an increase from the previous number of 86.740 % for 2014. GE: People Using Basic Drinking Water Services: Rural: % of Rural Population data is updated yearly, averaging 82.974 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 87.319 % in 2015 and a record low of 78.630 % in 2000. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 87.32 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: People Using Basic Drinking Water Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Georgia GE: People Using Basic Drinking Water Services: Urban: % of Urban Population
GE: People Using Basic Drinking Water Services: Urban: % of Urban Population data was reported at 98.401 % in 2015. This records an increase from the previous number of 98.340 % for 2014. GE: People Using Basic Drinking Water Services: Urban: % of Urban Population data is updated yearly, averaging 97.945 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 98.401 % in 2015 and a record low of 97.490 % in 2000. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 98.40 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: People Using Basic Drinking Water Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Georgia GE: People Using Basic Sanitation Services: % of Population
GE: People Using Basic Sanitation Services: % of Population data was reported at 84.877 % in 2015. This records a decrease from the previous number of 85.649 % for 2014. GE: People Using Basic Sanitation Services: % of Population data is updated yearly, averaging 90.831 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 96.550 % in 2000 and a record low of 84.877 % in 2015. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 84.88 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: People Using Basic Sanitation Services: % of Population from 2000 to 2015 in the chart:
Georgia GE: People Using Basic Sanitation Services: Rural: % of Rural Population
GE: People Using Basic Sanitation Services: Rural: % of Rural Population data was reported at 72.973 % in 2015. This records a decrease from the previous number of 74.622 % for 2014. GE: People Using Basic Sanitation Services: Rural: % of Rural Population data is updated yearly, averaging 85.343 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 96.727 % in 2000 and a record low of 72.973 % in 2015. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 72.97 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: People Using Basic Sanitation Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Georgia GE: People Using Basic Sanitation Services: Urban: % of Urban Population
GE: People Using Basic Sanitation Services: Urban: % of Urban Population data was reported at 95.165 % in 2015. This records a decrease from the previous number of 95.246 % for 2014. GE: People Using Basic Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 95.777 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 96.390 % in 2000 and a record low of 95.165 % in 2015. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 95.16 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: People Using Basic Sanitation Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Georgia GE: People Using Safely Managed Drinking Water Services: % of Population
GE: People Using Safely Managed Drinking Water Services: % of Population data was reported at 72.970 % in 2015. This records an increase from the previous number of 72.721 % for 2014. GE: People Using Safely Managed Drinking Water Services: % of Population data is updated yearly, averaging 74.211 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 76.280 % in 2006 and a record low of 72.218 % in 2012. GE: People Using Safely Managed 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 Georgia – Table GE.World Bank: Health Statistics. The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. 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 |
|---|---|---|
| 72.97 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: People Using Safely Managed Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Georgia GE: People Using Safely Managed Sanitation Services: Urban: % of Urban Population
GE: People Using Safely Managed Sanitation Services: Urban: % of Urban Population data was reported at 16.975 % in 2015. This records an increase from the previous number of 16.410 % for 2014. GE: People Using Safely Managed Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 11.440 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 16.975 % in 2015 and a record low of 6.167 % in 2000. GE: People Using Safely Managed 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 Georgia – Table GE.World Bank: Health Statistics. The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. 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 |
|---|---|---|
| 16.98 2015 | yearly | 2000 - 2015 |
View Georgia's Georgia GE: People Using Safely Managed Sanitation Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Georgia GE: Physicians: per 1000 People
GE: Physicians: per 1000 People data was reported at 4.776 Ratio in 2014. This records an increase from the previous number of 4.477 Ratio for 2013. GE: Physicians: per 1000 People data is updated yearly, averaging 4.457 Ratio from Dec 1970 (Median) to 2014, with 43 observations. The data reached an all-time high of 5.192 Ratio in 1997 and a record low of 3.200 Ratio in 1970. GE: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: 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 |
|---|---|---|
| 4.78 2014 | yearly | 1970 - 2014 |
View Georgia's Georgia GE: Physicians: per 1000 People from 1970 to 2014 in the chart:
Georgia GE: Pregnant Women Receiving Prenatal Care
GE: Pregnant Women Receiving Prenatal Care data was reported at 97.600 % in 2010. This records an increase from the previous number of 96.300 % for 2005. GE: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 95.800 % from Dec 1997 (Median) to 2010, with 4 observations. The data reached an all-time high of 97.600 % in 2010 and a record low of 74.000 % in 1997. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 97.60 2010 | yearly | 1997 - 2010 |
View Georgia's Georgia GE: Pregnant Women Receiving Prenatal Care from 1997 to 2010 in the chart:
Georgia GE: Prevalence of Anemia among Children: % of Children Under 5
GE: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 23.600 % in 2016. This records an increase from the previous number of 23.100 % for 2015. GE: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 27.600 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 38.800 % in 1990 and a record low of 22.600 % in 2013. GE: 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 Georgia – Table GE.World Bank: 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 |
|---|---|---|
| 23.60 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Georgia GE: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49
GE: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data was reported at 27.400 % in 2016. This records an increase from the previous number of 26.700 % for 2015. GE: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data is updated yearly, averaging 29.300 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 41.700 % in 1990 and a record low of 25.700 % in 2011. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 27.40 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Georgia GE: Prevalence of Anemia among Pregnant Women: %
GE: Prevalence of Anemia among Pregnant Women: % data was reported at 30.100 % in 2016. This records an increase from the previous number of 29.300 % for 2015. GE: Prevalence of Anemia among Pregnant Women: % data is updated yearly, averaging 28.300 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 34.700 % in 1990 and a record low of 27.000 % in 2009. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 30.10 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Prevalence of Anemia among Pregnant Women: % from 1990 to 2016 in the chart:
Georgia GE: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49
GE: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 27.500 % in 2016. This records an increase from the previous number of 26.800 % for 2015. GE: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 29.200 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 41.400 % in 1990 and a record low of 25.800 % in 2012. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 27.50 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Georgia GE: Prevalence of HIV: Female: % Aged 15-24
GE: Prevalence of HIV: Female: % Aged 15-24 data was reported at 0.100 % in 2016. This stayed constant from the previous number of 0.100 % for 2015. GE: Prevalence of HIV: Female: % Aged 15-24 data is updated yearly, averaging 0.100 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 0.100 % in 2016 and a record low of 0.100 % in 2016. GE: Prevalence of HIV: Female: % Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Health Statistics. Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.; ; UNAIDS estimates.; Weighted average; In many developing countries most new infections occur in young adults, with young women especially vulnerable.
| Last | Frequency | Range |
|---|---|---|
| 0.10 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Prevalence of HIV: Female: % Aged 15-24 from 1990 to 2016 in the chart:
Georgia GE: Prevalence of HIV: Male: % Aged 15-24
GE: Prevalence of HIV: Male: % Aged 15-24 data was reported at 0.100 % in 2017. This stayed constant from the previous number of 0.100 % for 2016. GE: Prevalence of HIV: Male: % Aged 15-24 data is updated yearly, averaging 0.100 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 0.100 % in 2017 and a record low of 0.100 % in 2017. GE: Prevalence of HIV: Male: % Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Health Statistics. Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group.; ; UNAIDS estimates.; Weighted average; In many developing countries most new infections occur in young adults, with young women being especially vulnerable.
| Last | Frequency | Range |
|---|---|---|
| 0.10 2016 | yearly | 1990 - 2016 |
View Georgia's Georgia GE: Prevalence of HIV: Male: % Aged 15-24 from 1990 to 2016 in the chart:
Georgia GE: Prevalence of HIV: Total: % of Population Aged 15-49
GE: Prevalence of HIV: Total: % of Population Aged 15-49 data was reported at 0.500 % in 2016. This records an increase from the previous number of 0.400 % for 2015. GE: Prevalence of HIV: Total: % of Population Aged 15-49 data is updated yearly, averaging 0.100 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 0.500 % in 2016 and a record low of 0.100 % in 2005. GE: Prevalence of HIV: Total: % of Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Health Statistics. Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.; ; UNAIDS estimates.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.50 2016 | yearly | 1990 - 2016 |