Tonga Health Statistics
Tonga TO: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
TO: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 15.050 Ratio in 2016. This records a decrease from the previous number of 15.438 Ratio for 2015. TO: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 25.305 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 59.116 Ratio in 1960 and a record low of 15.050 Ratio in 2016. TO: 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 Tonga – Table TO.World Bank: 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 |
|---|---|---|
| 15.05 2016 | yearly | 1960 - 2016 |
View Tonga's Tonga TO: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2016 in the chart:
Tonga TO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
TO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 0.400 NA in 2016. This stayed constant from the previous number of 0.400 NA for 2010. TO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 0.400 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 0.400 NA in 2016 and a record low of 0.400 NA in 2016. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 0.400 2016 | yearly | 2010 - 2016 |
View Tonga's Tonga TO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Tonga TO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
TO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 2.700 NA in 2016. This records an increase from the previous number of 2.500 NA for 2010. TO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 2.600 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 2.700 NA in 2016 and a record low of 2.500 NA in 2010. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 2.700 2016 | yearly | 2010 - 2016 |
View Tonga's Tonga TO: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Tonga TO: Births Attended by Skilled Health Staff: % of Total
TO: Births Attended by Skilled Health Staff: % of Total data was reported at 95.500 % in 2012. This records a decrease from the previous number of 99.000 % for 2010. TO: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 96.100 % from Dec 1990 (Median) to 2012, with 15 observations. The data reached an all-time high of 99.000 % in 2010 and a record low of 92.000 % in 1991. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 95.50 2012 | yearly | 1990 - 2012 |
View Tonga's Tonga TO: Births Attended by Skilled Health Staff: % of Total from 1990 to 2012 in the chart:
Tonga TO: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
TO: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 11.700 % in 2016. This records a decrease from the previous number of 11.900 % for 2015. TO: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 12.200 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 13.500 % in 2000 and a record low of 11.700 % in 2016. TO: 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 Tonga – Table TO.World Bank: 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 |
|---|---|---|
| 11.70 2016 | yearly | 2000 - 2016 |
View Tonga's Tonga TO: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2016 in the chart:
Tonga TO: Cause of Death: by Injury: % of Total
TO: Cause of Death: by Injury: % of Total data was reported at 5.600 % in 2016. This records a decrease from the previous number of 5.700 % for 2015. TO: Cause of Death: by Injury: % of Total data is updated yearly, averaging 5.750 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 7.100 % in 2000 and a record low of 5.600 % in 2016. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 5.60 2016 | yearly | 2000 - 2016 |
View Tonga's Tonga TO: Cause of Death: by Injury: % of Total from 2000 to 2016 in the chart:
Tonga TO: Cause of Death: by Non-Communicable Diseases: % of Total
TO: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 82.700 % in 2016. This records an increase from the previous number of 82.400 % for 2015. TO: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 82.050 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 82.700 % in 2016 and a record low of 79.300 % in 2000. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 82.70 2016 | yearly | 2000 - 2016 |
View Tonga's Tonga TO: Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2016 in the chart:
Tonga TO: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
TO: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 34.100 % in 2012. This records an increase from the previous number of 31.500 % for 2010. TO: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 32.900 % from Dec 1976 (Median) to 2012, with 8 observations. The data reached an all-time high of 46.000 % in 1976 and a record low of 23.000 % in 2002. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 34.10 2012 | yearly | 1976 - 2012 |
View Tonga's Tonga TO: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 from 1976 to 2012 in the chart:
Tonga TO: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49
TO: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data was reported at 28.400 % in 2012. TO: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data is updated yearly, averaging 28.400 % from Dec 2012 (Median) to 2012, with 1 observations. TO: 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 Tonga – Table TO.World Bank.WDI: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, at least one modern method of contraception. It is usually measured for women ages 15-49 who are married or in union. Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.; ; Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 28.40 2012 | yearly | 2012 - 2012 |
View Tonga's Tonga TO: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 from 2012 to 2012 in the chart:
Tonga TO: Current Health Expenditure Per Capita: Current PPP
TO: Current Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. TO: Current Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. TO: Current Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Current expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Current Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Tonga TO: Current Health Expenditure Per Capita: Current Price
TO: Current Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records an increase from the previous number of 0.000 USD mn for 2014. TO: Current Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2012 and a record low of 0.000 USD mn in 2001. TO: Current Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank: Health Statistics. Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Current Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Tonga TO: Current Health Expenditure: % of GDP
TO: Current Health Expenditure: % of GDP data was reported at 5.860 % in 2015. This records an increase from the previous number of 5.249 % for 2014. TO: Current Health Expenditure: % of GDP data is updated yearly, averaging 4.806 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 6.129 % in 2008 and a record low of 4.037 % in 2003. TO: Current Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank: Health Statistics. Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.86 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Current Health Expenditure: % of GDP from 2000 to 2015 in the chart:
Tonga TO: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
TO: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 47.900 % in 2012. TO: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 47.900 % from Dec 2012 (Median) to 2012, with 1 observations. TO: 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 Tonga – Table TO.World Bank.WDI: Health Statistics. Demand for family planning satisfied by modern methods refers to the percentage of married women ages 15-49 years whose need for family planning is satisfied with modern methods.; ; Demographic and Health Surveys (DHS).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 47.90 2012 | yearly | 2012 - 2012 |
View Tonga's Tonga TO: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning from 2012 to 2012 in the chart:
Tonga TO: Diabetes Prevalence: % of Population Aged 20-79
TO: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 15.420 % in 2017. TO: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 15.420 % from Dec 2017 (Median) to 2017, with 1 observations. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 15.42 2017 | yearly | 2017 - 2017 |
View Tonga's Tonga TO: Diabetes Prevalence: % of Population Aged 20-79 from 2017 to 2017 in the chart:
Tonga TO: Domestic General Government Health Expenditure Per Capita: Current PPP
TO: Domestic General Government Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. TO: Domestic General Government Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. TO: Domestic General Government Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Public expenditure on health from domestic sources per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Domestic General Government Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Tonga TO: Domestic General Government Health Expenditure Per Capita: Current Price
TO: Domestic General Government Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. TO: Domestic General Government Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2001. TO: Domestic General Government Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Public expenditure on health from domestic sources per capita expressed in current US dollars.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Domestic General Government Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Tonga TO: Domestic General Government Health Expenditure: % of Current Health Expenditure
TO: Domestic General Government Health Expenditure: % of Current Health Expenditure data was reported at 47.348 % in 2015. This records a decrease from the previous number of 54.596 % for 2014. TO: Domestic General Government Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 56.079 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 65.584 % in 2009 and a record low of 46.584 % in 2008. TO: Domestic General Government Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank: Health Statistics. Share of current health expenditures funded from domestic public sources for health. Domestic public sources include domestic revenue as internal transfers and grants, transfers, subsidies to voluntary health insurance beneficiaries, non-profit institutions serving households (NPISH) or enterprise financing schemes as well as compulsory prepayment and social health insurance contributions. They do not include external resources spent by governments on health.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 47.35 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Domestic General Government Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Tonga TO: Domestic General Government Health Expenditure: % of GDP
TO: Domestic General Government Health Expenditure: % of GDP data was reported at 2.775 % in 2015. This records a decrease from the previous number of 2.866 % for 2014. TO: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 2.731 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 3.164 % in 2007 and a record low of 2.300 % in 2000. TO: Domestic General Government Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of the economy as measured by GDP.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 2.77 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Domestic General Government Health Expenditure: % of GDP from 2000 to 2015 in the chart:
Tonga TO: Domestic General Government Health Expenditure: % of General Government Expenditure
TO: Domestic General Government Health Expenditure: % of General Government Expenditure data was reported at 8.354 % in 2015. This records a decrease from the previous number of 8.825 % for 2014. TO: Domestic General Government Health Expenditure: % of General Government Expenditure data is updated yearly, averaging 11.208 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 12.763 % in 2007 and a record low of 8.354 % in 2015. TO: Domestic General Government Health Expenditure: % of General Government Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of total public expenditure. It indicates the priority of the government to spend on health from own domestic public resources.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 8.35 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Domestic General Government Health Expenditure: % of General Government Expenditure from 2000 to 2015 in the chart:
Tonga TO: Domestic Private Health Expenditure Per Capita: Current PPP
TO: Domestic Private Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. TO: Domestic Private Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. TO: Domestic Private Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Current private expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Domestic Private Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Tonga TO: Domestic Private Health Expenditure Per Capita: Current Price
TO: Domestic Private Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. TO: Domestic Private Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2001. TO: Domestic Private Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Current private expenditures on health per capita expressed in current US dollars. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Domestic Private Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Tonga TO: Domestic Private Health Expenditure: % of Current Health Expenditure
TO: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 13.708 % in 2015. This records a decrease from the previous number of 15.244 % for 2014. TO: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 15.930 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 19.097 % in 2009 and a record low of 13.314 % in 2008. TO: Domestic Private Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank: Health Statistics. Share of current health expenditures funded from domestic private sources. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 13.71 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Domestic Private Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Tonga TO: External Health Expenditure Per Capita: Current PPP
TO: External Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. TO: External Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2009. TO: External Health Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Current external expenditures on health per capita expressed in international dollars at purchasing power parity (PPP). External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: External Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Tonga TO: External Health Expenditure Per Capita: Current Price
TO: External Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records an increase from the previous number of 0.000 USD mn for 2014. TO: External Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2015 and a record low of 0.000 USD mn in 2002. TO: External Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank: Health Statistics. Current external expenditures on health per capita expressed in current US dollars. External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: External Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Tonga TO: External Health Expenditure: % of Current Health Expenditure
TO: External Health Expenditure: % of Current Health Expenditure data was reported at 38.944 % in 2015. This records an increase from the previous number of 30.160 % for 2014. TO: External Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 27.117 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 40.101 % in 2008 and a record low of 15.319 % in 2009. TO: External Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Share of current health expenditures funded from external sources. External sources compose of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country. External sources either flow through the government scheme or are channeled through non-governmental organizations or other schemes.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 38.94 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: External Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Tonga TO: Fertility Rate: Total: Births per Woman
TO: Fertility Rate: Total: Births per Woman data was reported at 3.636 Ratio in 2016. This records a decrease from the previous number of 3.678 Ratio for 2015. TO: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 4.763 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 7.363 Ratio in 1960 and a record low of 3.636 Ratio in 2016. TO: 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 Tonga – Table TO.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.
| Last | Frequency | Range |
|---|---|---|
| 3.64 2016 | yearly | 1960 - 2016 |
View Tonga's Tonga TO: Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
Tonga TO: Hospital Beds: per 1000 People
TO: Hospital Beds: per 1000 People data was reported at 2.600 Number in 2010. This records an increase from the previous number of 2.400 Number for 2008. TO: Hospital Beds: per 1000 People data is updated yearly, averaging 2.596 Number from Dec 1960 (Median) to 2010, with 8 observations. The data reached an all-time high of 3.539 Number in 1981 and a record low of 2.400 Number in 2008. TO: 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 Tonga – Table TO.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 2010 | yearly | 1960 - 2010 |
View Tonga's Tonga TO: Hospital Beds: per 1000 People from 1960 to 2010 in the chart:
Tonga TO: Immunization: DPT: % of Children Aged 12-23 Months
TO: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 81.000 % in 2017. This records an increase from the previous number of 78.000 % for 2016. TO: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 88.500 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 99.000 % in 1996 and a record low of 77.000 % in 2012. TO: 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 Tonga – Table TO.World Bank.WDI: Health Statistics. Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 78.00 2016 | yearly | 1980 - 2016 |
View Tonga's Tonga TO: Immunization: DPT: % of Children Aged 12-23 Months from 1980 to 2016 in the chart:
Tonga TO: Immunization: HepB3: % of One-Year-Old Children
TO: Immunization: HepB3: % of One-Year-Old Children data was reported at 78.000 % in 2016. This stayed constant from the previous number of 78.000 % for 2015. TO: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 88.000 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 96.000 % in 1993 and a record low of 77.000 % in 2012. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 78.00 2016 | yearly | 1990 - 2016 |
View Tonga's Tonga TO: Immunization: HepB3: % of One-Year-Old Children from 1990 to 2016 in the chart:
Tonga TO: Immunization: Measles: % of Children Aged 12-23 Months
TO: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 84.000 % in 2016. This records a decrease from the previous number of 85.000 % for 2015. TO: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 86.500 % from Dec 1981 (Median) to 2016, with 36 observations. The data reached an all-time high of 97.000 % in 1997 and a record low of 9.000 % in 1981. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 84.00 2016 | yearly | 1981 - 2016 |
View Tonga's Tonga TO: Immunization: Measles: % of Children Aged 12-23 Months from 1981 to 2016 in the chart:
Tonga TO: Incidence of Tuberculosis: per 100,000 People
TO: Incidence of Tuberculosis: per 100,000 People data was reported at 8.600 Ratio in 2016. This records a decrease from the previous number of 15.000 Ratio for 2015. TO: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 14.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 34.000 Ratio in 2002 and a record low of 8.600 Ratio in 2016. TO: 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 Tonga – Table TO.World Bank.WDI: Health Statistics. Incidence of tuberculosis is the estimated number of new and relapse tuberculosis cases arising in a given year, expressed as the rate per 100,000 population. All forms of TB are included, including cases in people living with HIV. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.; ; World Health Organization, Global Tuberculosis Report.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 8.60 2016 | yearly | 2000 - 2016 |
View Tonga's Tonga TO: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Tonga TO: Intentional Homicides: Female: per 100,000 Female
TO: Intentional Homicides: Female: per 100,000 Female data was reported at 1.910 Ratio in 2012. This records an increase from the previous number of 0.000 Ratio for 2011. TO: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 0.000 Ratio from Dec 2000 (Median) to 2012, with 13 observations. The data reached an all-time high of 5.800 Ratio in 2009 and a record low of 0.000 Ratio in 2011. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 1.91 2012 | yearly | 2000 - 2012 |
View Tonga's Tonga TO: Intentional Homicides: Female: per 100,000 Female from 2000 to 2012 in the chart:
Tonga TO: Intentional Homicides: Male: per 100,000 Male
TO: Intentional Homicides: Male: per 100,000 Male data was reported at 0.000 Ratio in 2012. This records a decrease from the previous number of 3.818 Ratio for 2011. TO: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 5.819 Ratio from Dec 2000 (Median) to 2012, with 13 observations. The data reached an all-time high of 15.711 Ratio in 2006 and a record low of 0.000 Ratio in 2012. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 0.00 2012 | yearly | 2000 - 2012 |
View Tonga's Tonga TO: Intentional Homicides: Male: per 100,000 Male from 2000 to 2012 in the chart:
Tonga TO: Intentional Homicides: per 100,000 People
TO: Intentional Homicides: per 100,000 People data was reported at 0.953 Ratio in 2012. This records a decrease from the previous number of 1.912 Ratio for 2011. TO: Intentional Homicides: per 100,000 People data is updated yearly, averaging 3.883 Ratio from Dec 2000 (Median) to 2012, with 13 observations. The data reached an all-time high of 7.867 Ratio in 2006 and a record low of 0.953 Ratio in 2012. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 1.00 2012 | yearly | 2000 - 2012 |
View Tonga's Tonga TO: Intentional Homicides: per 100,000 People from 2000 to 2012 in the chart:
Tonga TO: Life Expectancy at Birth: Female
TO: Life Expectancy at Birth: Female data was reported at 76.088 Year in 2016. This records an increase from the previous number of 75.941 Year for 2015. TO: Life Expectancy at Birth: Female data is updated yearly, averaging 70.861 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 76.088 Year in 2016 and a record low of 61.721 Year in 1960. TO: 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 Tonga – Table TO.World Bank.WDI: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 76.09 2016 | yearly | 1960 - 2016 |
View Tonga's Tonga TO: Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
Tonga TO: Life Expectancy at Birth: Male
TO: Life Expectancy at Birth: Male data was reported at 70.021 Year in 2016. This records an increase from the previous number of 69.887 Year for 2015. TO: Life Expectancy at Birth: Male data is updated yearly, averaging 67.843 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 70.021 Year in 2016 and a record low of 61.026 Year in 1960. TO: 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 Tonga – Table TO.World Bank.WDI: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 70.02 2016 | yearly | 1960 - 2016 |
View Tonga's Tonga TO: Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
Tonga TO: Life Expectancy at Birth: Total
TO: Life Expectancy at Birth: Total data was reported at 73.029 Year in 2016. This records an increase from the previous number of 72.880 Year for 2015. TO: Life Expectancy at Birth: Total data is updated yearly, averaging 69.313 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 73.029 Year in 2016 and a record low of 61.401 Year in 1960. TO: 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 Tonga – Table TO.World Bank.WDI: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 73.03 2016 | yearly | 1960 - 2016 |
View Tonga's Tonga TO: Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
Tonga TO: Lifetime Risk Of Maternal Death
TO: Lifetime Risk Of Maternal Death data was reported at 0.434 % in 2015. This records a decrease from the previous number of 0.452 % for 2014. TO: Lifetime Risk Of Maternal Death data is updated yearly, averaging 0.447 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 0.498 % in 2011 and a record low of 0.342 % in 1990. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 0.43 2015 | yearly | 1990 - 2015 |
View Tonga's Tonga TO: Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
Tonga TO: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
TO: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 230.000 NA in 2015. This records an increase from the previous number of 220.000 NA for 2014. TO: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 225.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 290.000 NA in 1990 and a record low of 200.000 NA in 2012. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 230.00 2015 | yearly | 1990 - 2015 |
View Tonga's Tonga TO: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
Tonga TO: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
TO: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 124.000 Ratio in 2015. This records a decrease from the previous number of 127.000 Ratio for 2014. TO: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 106.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 135.000 Ratio in 2012 and a record low of 75.000 Ratio in 1990. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 124.00 2015 | yearly | 1990 - 2015 |
View Tonga's Tonga TO: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
Tonga TO: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births
TO: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data was reported at 36.400 Ratio in 2010. This records a decrease from the previous number of 140.000 Ratio for 2006. TO: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births data is updated yearly, averaging 78.200 Ratio from Dec 2000 (Median) to 2010, with 3 observations. The data reached an all-time high of 140.000 Ratio in 2006 and a record low of 36.400 Ratio in 2010. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 36.40 2010 | yearly | 2000 - 2010 |
View Tonga's Tonga TO: Maternal Mortality Ratio: National Estimate: per 100,000 Live Births from 2000 to 2010 in the chart:
Tonga TO: Mortality Caused by Road Traffic Injury: per 100,000 People
TO: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 6.000 Number in 2015. This records an increase from the previous number of 5.300 Number for 2010. TO: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 9.450 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 13.400 Number in 2000 and a record low of 5.300 Number in 2010. TO: 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 Tonga – Table TO.World Bank.WDI: 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 |
|---|---|---|
| 6.00 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
Tonga TO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
TO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 48.000 NA in 2016. TO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 48.000 NA from Dec 2016 (Median) to 2016, with 1 observations. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 48.000 2016 | yearly | 2016 - 2016 |
View Tonga's Tonga TO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Tonga TO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
TO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 107.000 NA in 2016. TO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 107.000 NA from Dec 2016 (Median) to 2016, with 1 observations. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 107.000 2016 | yearly | 2016 - 2016 |
View Tonga's Tonga TO: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Tonga TO: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
TO: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 73.300 Ratio in 2016. TO: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 73.300 Ratio from Dec 2016 (Median) to 2016, with 1 observations. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 73.30 2016 | yearly | 2016 - 2016 |
View Tonga's Tonga TO: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Tonga TO: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
TO: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 1.200 Ratio in 2016. This stayed constant from the previous number of 1.200 Ratio for 2015. TO: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female 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 1.100 Ratio in 2005. TO: 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 Tonga – Table TO.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.20 2016 | yearly | 2000 - 2016 |
View Tonga's Tonga TO: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Tonga TO: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
TO: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 1.500 Ratio in 2016. This stayed constant from the previous number of 1.500 Ratio for 2015. TO: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 1.600 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 1.700 Ratio in 2010 and a record low of 1.500 Ratio in 2016. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 1.50 2016 | yearly | 2000 - 2016 |
View Tonga's Tonga TO: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Tonga TO: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
TO: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 1.300 Ratio in 2016. This records a decrease from the previous number of 1.400 Ratio for 2015. TO: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 1.400 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 1.500 Ratio in 2010 and a record low of 1.300 Ratio in 2016. TO: 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 Tonga – Table TO.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.30 2016 | yearly | 2000 - 2016 |
View Tonga's Tonga TO: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Tonga TO: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
TO: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 1.400 Ratio in 2016. TO: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 1.400 Ratio from Dec 2016 (Median) to 2016, with 1 observations. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 1.40 2016 | yearly | 2016 - 2016 |
View Tonga's Tonga TO: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Tonga TO: Mortality Rate: Adult: Female: per 1000 Female Adults
TO: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 99.538 Ratio in 2016. This records a decrease from the previous number of 100.936 Ratio for 2015. TO: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 156.570 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 279.830 Ratio in 1960 and a record low of 99.538 Ratio in 2016. TO: 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 Tonga – Table TO.World Bank.WDI: 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 |
|---|---|---|
| 99.54 2016 | yearly | 1960 - 2016 |
View Tonga's Tonga TO: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2016 in the chart:
Tonga TO: Mortality Rate: Adult: Male: per 1000 Male Adults
TO: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 165.189 Ratio in 2016. This records a decrease from the previous number of 167.091 Ratio for 2015. TO: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 197.980 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 303.882 Ratio in 1960 and a record low of 165.189 Ratio in 2016. TO: 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 Tonga – Table TO.World Bank.WDI: 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 |
|---|---|---|
| 165.19 2016 | yearly | 1960 - 2016 |
View Tonga's Tonga TO: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2016 in the chart:
Tonga TO: Mortality Rate: Infant: per 1000 Live Births
TO: Mortality Rate: Infant: per 1000 Live Births data was reported at 14.100 Ratio in 2016. This records a decrease from the previous number of 14.400 Ratio for 2015. TO: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 18.900 Ratio from Dec 1963 (Median) to 2016, with 54 observations. The data reached an all-time high of 60.500 Ratio in 1963 and a record low of 14.100 Ratio in 2016. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 14.10 2016 | yearly | 1963 - 2016 |
View Tonga's Tonga TO: Mortality Rate: Infant: per 1000 Live Births from 1963 to 2016 in the chart:
Tonga TO: Mortality Rate: Neonatal: per 1000 Live Births
TO: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 6.800 Ratio in 2016. This records a decrease from the previous number of 7.000 Ratio for 2015. TO: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 7.300 Ratio from Dec 1989 (Median) to 2016, with 28 observations. The data reached an all-time high of 10.500 Ratio in 1989 and a record low of 6.800 Ratio in 2016. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 6.80 2016 | yearly | 1989 - 2016 |
View Tonga's Tonga TO: Mortality Rate: Neonatal: per 1000 Live Births from 1989 to 2016 in the chart:
Tonga TO: Mortality Rate: Under-5: Female: per 1000 Live Births
TO: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 18.100 Ratio in 2016. This records a decrease from the previous number of 18.500 Ratio for 2015. TO: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 19.200 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 24.100 Ratio in 1990 and a record low of 18.100 Ratio in 2016. TO: 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 Tonga – Table TO.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 18.10 2016 | yearly | 1990 - 2016 |
View Tonga's Tonga TO: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Tonga TO: Mortality Rate: Under-5: Male: per 1000 Live Births
TO: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 14.200 Ratio in 2017. This records a decrease from the previous number of 14.900 Ratio for 2015. TO: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 15.400 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 19.800 Ratio in 1990 and a record low of 14.200 Ratio in 2017. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 14.70 2016 | yearly | 1990 - 2016 |
View Tonga's Tonga TO: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Tonga TO: Mortality Rate: Under-5: per 1000 Live Births
TO: Mortality Rate: Under-5: per 1000 Live Births data was reported at 16.000 Ratio in 2017. This records a decrease from the previous number of 16.400 Ratio for 2016. TO: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 22.100 Ratio from Dec 1963 (Median) to 2017, with 55 observations. The data reached an all-time high of 79.000 Ratio in 1963 and a record low of 16.000 Ratio in 2017. TO: 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 Tonga – Table TO.World Bank.WDI: 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 |
|---|---|---|
| 16.40 2016 | yearly | 1963 - 2016 |
View Tonga's Tonga TO: Mortality Rate: Under-5: per 1000 Live Births from 1963 to 2016 in the chart:
Tonga TO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
TO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 23.300 % in 2016. This records a decrease from the previous number of 23.500 % for 2015. TO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 24.700 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 26.100 % in 2000 and a record low of 23.300 % in 2016. TO: 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 Tonga – Table TO.World Bank: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 23.30 2016 | yearly | 2000 - 2016 |
View Tonga's Tonga TO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2016 in the chart:
Tonga TO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
TO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 17.500 NA in 2016. This records a decrease from the previous number of 17.700 NA for 2015. TO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 18.700 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 21.700 NA in 2000 and a record low of 17.500 NA in 2016. TO: 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 Tonga – Table TO.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 17.500 2016 | yearly | 2000 - 2016 |
View Tonga's Tonga TO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Tonga TO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
TO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 29.700 NA in 2016. This records a decrease from the previous number of 29.900 NA for 2015. TO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 30.800 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 31.000 NA in 2005 and a record low of 29.700 NA in 2016. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 29.700 2016 | yearly | 2000 - 2016 |
View Tonga's Tonga TO: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Tonga TO: Number of Death: Infant
TO: Number of Death: Infant data was reported at 35.000 Person in 2017. This records a decrease from the previous number of 36.000 Person for 2016. TO: Number of Death: Infant data is updated yearly, averaging 55.000 Person from Dec 1964 (Median) to 2017, with 54 observations. The data reached an all-time high of 174.000 Person in 1964 and a record low of 35.000 Person in 2017. TO: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Number of infants dying before reaching one year of age.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 36.00 2016 | yearly | 1964 - 2016 |
View Tonga's Tonga TO: Number of Death: Infant from 1964 to 2016 in the chart:
Tonga TO: Number of Death: Neonatal
TO: Number of Death: Neonatal data was reported at 17.000 Person in 2017. This records a decrease from the previous number of 18.000 Person for 2016. TO: Number of Death: Neonatal data is updated yearly, averaging 21.000 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 31.000 Person in 1990 and a record low of 17.000 Person in 2017. TO: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Number of neonates dying before reaching 28 days of age.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 18.00 2016 | yearly | 1990 - 2016 |
View Tonga's Tonga TO: Number of Death: Neonatal from 1990 to 2016 in the chart:
Tonga TO: Number of Death: Under-5
TO: Number of Death: Under-5 data was reported at 41.000 Person in 2017. This records a decrease from the previous number of 43.000 Person for 2016. TO: Number of Death: Under-5 data is updated yearly, averaging 60.000 Person from Dec 1968 (Median) to 2017, with 50 observations. The data reached an all-time high of 179.000 Person in 1968 and a record low of 41.000 Person in 2017. TO: 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 Tonga – Table TO.World Bank.WDI: Health Statistics. Number of children dying before reaching age five.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 43.00 2016 | yearly | 1968 - 2016 |
View Tonga's Tonga TO: Number of Death: Under-5 from 1968 to 2016 in the chart:
Tonga TO: Number of Deaths Ages 10-14 Years
TO: Number of Deaths Ages 10-14 Years data was reported at 2.000 Person in 2019. This stayed constant from the previous number of 2.000 Person for 2018. TO: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 4.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 5.000 Person in 1998 and a record low of 2.000 Person in 2019. TO: 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 Tonga – Table TO.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 10-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 2.000 2019 | yearly | 1990 - 2019 |
View Tonga's Tonga TO: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Tonga TO: Number of Deaths Ages 15-19 Years
TO: Number of Deaths Ages 15-19 Years data was reported at 7.000 Person in 2019. This stayed constant from the previous number of 7.000 Person for 2018. TO: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 7.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 9.000 Person in 2010 and a record low of 5.000 Person in 1993. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 7.000 2019 | yearly | 1990 - 2019 |
View Tonga's Tonga TO: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Tonga TO: Number of Deaths Ages 20-24 Years
TO: Number of Deaths Ages 20-24 Years data was reported at 10.000 Person in 2019. This records an increase from the previous number of 9.000 Person for 2018. TO: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 9.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 10.000 Person in 2019 and a record low of 7.000 Person in 1996. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 10.000 2019 | yearly | 1990 - 2019 |
View Tonga's Tonga TO: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Tonga TO: Number of Deaths Ages 5-14 Years
TO: Number of Deaths Ages 5-14 Years data was reported at 9.000 Person in 2017. This stayed constant from the previous number of 9.000 Person for 2015. TO: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 9.000 Person from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 11.000 Person in 1990 and a record low of 9.000 Person in 2017. TO: 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 Tonga – Table TO.World Bank.WDI: 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 |
|---|---|---|
| 9.00 2016 | yearly | 1990 - 2016 |
View Tonga's Tonga TO: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Tonga TO: Number of Deaths Ages 5-9 Years
TO: Number of Deaths Ages 5-9 Years data was reported at 4.000 Person in 2019. This stayed constant from the previous number of 4.000 Person for 2018. TO: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 5.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 7.000 Person in 2007 and a record low of 4.000 Person in 2019. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 4.000 2019 | yearly | 1990 - 2019 |
View Tonga's Tonga TO: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Tonga TO: Number of Maternal Death
TO: Number of Maternal Death data was reported at 3.000 Person in 2015. This stayed constant from the previous number of 3.000 Person for 2014. TO: Number of Maternal Death data is updated yearly, averaging 3.000 Person from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 4.000 Person in 2013 and a record low of 2.000 Person in 1992. TO: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.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 |
|---|---|---|
| 3.00 2015 | yearly | 1990 - 2015 |
View Tonga's Tonga TO: Number of Maternal Death from 1990 to 2015 in the chart:
Tonga TO: Number of Surgical Procedures: per 100,000 population
TO: Number of Surgical Procedures: per 100,000 population data was reported at 5,061.000 Number in 2016. TO: Number of Surgical Procedures: per 100,000 population data is updated yearly, averaging 5,061.000 Number from Dec 2016 (Median) to 2016, with 1 observations. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 5,061.00 2016 | yearly | 2016 - 2016 |
View Tonga's Tonga TO: Number of Surgical Procedures: per 100,000 population from 2016 to 2016 in the chart:
Tonga TO: Nurses and Midwives: per 1000 People
TO: Nurses and Midwives: per 1000 People data was reported at 3.881 Ratio in 2013. This records an increase from the previous number of 3.848 Ratio for 2010. TO: Nurses and Midwives: per 1000 People data is updated yearly, averaging 3.540 Ratio from Dec 2001 (Median) to 2013, with 7 observations. The data reached an all-time high of 3.881 Ratio in 2013 and a record low of 2.932 Ratio in 2007. TO: 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 Tonga – Table TO.World Bank: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.88 2013 | yearly | 2001 - 2013 |
View Tonga's Tonga TO: Nurses and Midwives: per 1000 People from 2001 to 2013 in the chart:
Tonga TO: Out-of-Pocket Health Expenditure Per Capita: Current Price
TO: Out-of-Pocket Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. TO: Out-of-Pocket Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2001. TO: Out-of-Pocket Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Health expenditure through out-of-pocket payments per capita in USD. Out of pocket payments are spending on health directly out of pocket by households in each country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Out-of-Pocket Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Tonga TO: Out-of-Pocket Health Expenditure: % of Current Health Expenditure
TO: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 10.219 % in 2015. This records a decrease from the previous number of 11.418 % for 2014. TO: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 11.830 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 14.134 % in 2003 and a record low of 9.833 % in 2008. TO: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank: Health Statistics. Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 10.22 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Out-of-Pocket Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Tonga TO: Out-of-Pocket Helath Expenditure Per Capita: Current PPP
TO: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. TO: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. TO: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank: Health Statistics. Health expenditure through out-of-pocket payments per capita in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: Out-of-Pocket Helath Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Tonga TO: People Practicing Open Defecation: % of Population
TO: 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. TO: People Practicing Open Defecation: % of Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. TO: 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 Tonga – Table TO.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 Tonga's Tonga TO: People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
Tonga TO: People Practicing Open Defecation: Rural: % of Rural Population
TO: 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. TO: People Practicing Open Defecation: Rural: % of Rural Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. TO: 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 Tonga – Table TO.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 Tonga's Tonga TO: People Practicing Open Defecation: Rural: % of Rural Population from 2000 to 2015 in the chart:
Tonga TO: People Practicing Open Defecation: Urban: % of Urban Population
TO: 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. TO: People Practicing Open Defecation: Urban: % of Urban Population data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. TO: 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 Tonga – Table TO.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 Tonga's Tonga TO: People Practicing Open Defecation: Urban: % of Urban Population from 2000 to 2015 in the chart:
Tonga TO: People Using At Least Basic Drinking Water Services: % of Population
TO: People Using At Least Basic Drinking Water Services: % of Population data was reported at 99.906 % in 2015. This records a decrease from the previous number of 99.906 % for 2014. TO: People Using At Least Basic Drinking Water Services: % of Population data is updated yearly, averaging 98.985 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 99.906 % in 2014 and a record low of 98.490 % in 2004. TO: People Using At Least Basic Drinking Water Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.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 |
|---|---|---|
| 99.91 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: People Using At Least Basic Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Tonga TO: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population
TO: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data was reported at 99.947 % in 2015. This stayed constant from the previous number of 99.947 % for 2014. TO: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data is updated yearly, averaging 99.220 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 99.947 % in 2015 and a record low of 98.829 % in 2004. TO: People Using At Least 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 Tonga – Table TO.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 |
|---|---|---|
| 99.95 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Tonga TO: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population
TO: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data was reported at 99.773 % in 2015. This stayed constant from the previous number of 99.773 % for 2014. TO: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data is updated yearly, averaging 98.208 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 99.773 % in 2015 and a record low of 97.365 % in 2004. TO: People Using At Least 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 Tonga – Table TO.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 |
|---|---|---|
| 99.77 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Tonga TO: People Using At Least Basic Sanitation Services: % of Population
TO: People Using At Least Basic Sanitation Services: % of Population data was reported at 93.468 % in 2015. This records an increase from the previous number of 93.464 % for 2014. TO: People Using At Least Basic Sanitation Services: % of Population data is updated yearly, averaging 90.400 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 93.468 % in 2015 and a record low of 88.727 % in 2000. TO: People Using At Least 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 Tonga – Table TO.World Bank.WDI: 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 |
|---|---|---|
| 93.47 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: People Using At Least Basic Sanitation Services: % of Population from 2000 to 2015 in the chart:
Tonga TO: People Using At Least Basic Sanitation Services: Rural: % of Rural Population
TO: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data was reported at 92.494 % in 2015. This stayed constant from the previous number of 92.494 % for 2014. TO: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data is updated yearly, averaging 88.072 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 92.494 % in 2015 and a record low of 85.691 % in 2004. TO: People Using At Least 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 Tonga – Table TO.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 |
|---|---|---|
| 92.49 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: People Using At Least Basic Sanitation Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Tonga TO: People Using At Least Basic Sanitation Services: Urban: % of Urban Population
TO: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data was reported at 96.600 % in 2015. This stayed constant from the previous number of 96.600 % for 2014. TO: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 98.087 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 98.887 % in 2004 and a record low of 96.600 % in 2015. TO: People Using At Least 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 Tonga – Table TO.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 |
|---|---|---|
| 96.60 2015 | yearly | 2000 - 2015 |
View Tonga's Tonga TO: People Using At Least Basic Sanitation Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Tonga TO: Physicians: per 1000 People
TO: Physicians: per 1000 People data was reported at 0.558 Ratio in 2010. This records a decrease from the previous number of 0.599 Ratio for 2009. TO: Physicians: per 1000 People data is updated yearly, averaging 0.499 Ratio from Dec 1960 (Median) to 2010, with 15 observations. The data reached an all-time high of 0.602 Ratio in 1981 and a record low of 0.256 Ratio in 1970. TO: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Physicians include generalist and specialist medical practitioners.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.56 2010 | yearly | 1960 - 2010 |
View Tonga's Tonga TO: Physicians: per 1000 People from 1960 to 2010 in the chart:
Tonga TO: Pregnant Women Receiving Prenatal Care
TO: Pregnant Women Receiving Prenatal Care data was reported at 99.000 % in 2012. This records an increase from the previous number of 97.900 % for 2011. TO: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 99.000 % from Dec 2008 (Median) to 2012, with 5 observations. The data reached an all-time high of 99.000 % in 2012 and a record low of 97.900 % in 2011. TO: 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 Tonga – Table TO.World Bank.WDI: 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 |
|---|---|---|
| 99.00 2012 | yearly | 2008 - 2012 |
View Tonga's Tonga TO: Pregnant Women Receiving Prenatal Care from 2008 to 2012 in the chart:
Tonga TO: Prevalence of Anemia among Children: % of Children Under 5
TO: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 37.900 % in 2016. This records an increase from the previous number of 37.700 % for 2015. TO: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 38.700 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 44.300 % in 1990 and a record low of 37.600 % in 2014. TO: 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 Tonga – Table TO.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 |
|---|---|---|
| 37.90 2016 | yearly | 1990 - 2016 |
View Tonga's Tonga TO: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Tonga TO: Prevalence of Anemia among Pregnant Women: %
TO: Prevalence of Anemia among Pregnant Women: % data was reported at 28.800 % in 2016. This records an increase from the previous number of 28.300 % for 2015. TO: Prevalence of Anemia among Pregnant Women: % data is updated yearly, averaging 28.900 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 38.300 % in 1990 and a record low of 27.100 % in 2011. TO: 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 Tonga – Table TO.World Bank.WDI: 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 |
|---|---|---|
| 28.80 2016 | yearly | 1990 - 2016 |
View Tonga's Tonga TO: Prevalence of Anemia among Pregnant Women: % from 1990 to 2016 in the chart:
Tonga TO: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49
TO: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 21.300 % in 2016. This records an increase from the previous number of 20.500 % for 2015. TO: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 20.200 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 28.400 % in 1990 and a record low of 18.700 % in 2010. TO: 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 Tonga – Table TO.World Bank: 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 |
|---|---|---|
| 21.30 2016 | yearly | 1990 - 2016 |
View Tonga's Tonga TO: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Tonga TO: Probability of Dying at Age 10-14 Years: per 1000
TO: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 0.800 Ratio in 2019. This records a decrease from the previous number of 0.900 Ratio for 2018. TO: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 1.750 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1.900 Ratio in 2004 and a record low of 0.800 Ratio in 2019. TO: Probability of Dying at Age 10-14 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Probability of dying between age 10-14 years of age expressed per 1,000 adolescents age 10, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 0.800 2019 | yearly | 1990 - 2019 |
View Tonga's Tonga TO: Probability of Dying at Age 10-14 Years: per 1000 from 1990 to 2019 in the chart:
Tonga TO: Probability of Dying at Age 15-19 Years: per 1000
TO: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 3.100 Ratio in 2019. This stayed constant from the previous number of 3.100 Ratio for 2018. TO: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 3.450 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 4.500 Ratio in 2006 and a record low of 2.400 Ratio in 1990. TO: Probability of Dying at Age 15-19 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 3.100 2019 | yearly | 1990 - 2019 |
View Tonga's Tonga TO: Probability of Dying at Age 15-19 Years: per 1000 from 1990 to 2019 in the chart:
Tonga TO: Probability of Dying at Age 20-24 Years: per 1000
TO: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 5.100 Ratio in 2019. This records an increase from the previous number of 5.000 Ratio for 2018. TO: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 5.000 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 5.400 Ratio in 2007 and a record low of 4.400 Ratio in 1996. TO: Probability of Dying at Age 20-24 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 5.100 2019 | yearly | 1990 - 2019 |
View Tonga's Tonga TO: Probability of Dying at Age 20-24 Years: per 1000 from 1990 to 2019 in the chart:
Tonga TO: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5
TO: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data was reported at 3.400 Ratio in 2016. This records a decrease from the previous number of 3.500 Ratio for 2015. TO: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data is updated yearly, averaging 3.600 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 4.800 Ratio in 1990 and a record low of 3.400 Ratio in 2016. TO: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank: Health Statistics. Probability of dying between age 5-14 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 3.40 2016 | yearly | 1990 - 2016 |
View Tonga's Tonga TO: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 from 1990 to 2016 in the chart:
Tonga TO: Probability of Dying at Age 5-9 Years: per 1000
TO: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 1.600 Ratio in 2019. This stayed constant from the previous number of 1.600 Ratio for 2018. TO: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 2.150 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 2.600 Ratio in 2006 and a record low of 1.600 Ratio in 2019. TO: Probability of Dying at Age 5-9 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tonga – Table TO.World Bank.WDI: Health Statistics. Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 1.600 2019 | yearly | 1990 - 2019 |
View Tonga's Tonga TO: Probability of Dying at Age 5-9 Years: per 1000 from 1990 to 2019 in the chart:
Tonga TO: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49
TO: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 data was reported at 18.900 % in 2009. TO: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % of Women Aged 15-49 data is updated yearly, averaging 18.900 % from Dec 2009 (Median) to 2009, with 1 observations. TO: Proportion of Women Subjected to Physical and/or Sexual Violence in the Last 12 Months: % 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 Tonga – Table TO.World Bank: Health Statistics. Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women age 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.; ; United Nations Statistics Division (UNSD); Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 18.90 2009 | yearly | 2009 - 2009 |