Singapore Health Statistics
Singapore Pharmacies
Pharmacies data was reported at 243.000 Number in 2017. This records an increase from the previous number of 235.000 Number for 2016. Pharmacies data is updated yearly, averaging 246.000 Number from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 255.000 Number in 2007 and a record low of 211.000 Number in 2009. Pharmacies data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G075: Health Statistics.
Last | Frequency | Range |
---|---|---|
235.00 2016 | yearly | 2006 - 2016 |
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Singapore Pharmacies: Private
Pharmacies: Private data was reported at 181.000 Number in 2017. This records an increase from the previous number of 173.000 Number for 2016. Pharmacies: Private data is updated yearly, averaging 190.000 Number from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 199.000 Number in 2007 and a record low of 153.000 Number in 2009. Pharmacies: Private data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G075: Health Statistics.
Last | Frequency | Range |
---|---|---|
173.00 2016 | yearly | 2006 - 2016 |
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Singapore Pharmacies: Public
Pharmacies: Public data was reported at 62.000 Number in 2017. This stayed constant from the previous number of 62.000 Number for 2016. Pharmacies: Public data is updated yearly, averaging 58.000 Number from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 63.000 Number in 2014 and a record low of 50.000 Number in 2012. Pharmacies: Public data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G075: Health Statistics.
Last | Frequency | Range |
---|---|---|
62.00 2016 | yearly | 2006 - 2016 |
View Singapore's Singapore Pharmacies: Public from 2006 to 2016 in the chart:
Singapore Polyclinics: Public
Polyclinics: Public data was reported at 20.000 Number in 2017. This records an increase from the previous number of 18.000 Number for 2016. Polyclinics: Public data is updated yearly, averaging 18.000 Number from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 20.000 Number in 2017 and a record low of 18.000 Number in 2016. Polyclinics: Public data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G075: Health Statistics.
Last | Frequency | Range |
---|---|---|
18.00 2016 | yearly | 2006 - 2016 |
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Singapore SG: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
SG: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 3.724 Ratio in 2016. This records a decrease from the previous number of 3.770 Ratio for 2015. SG: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 7.939 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 57.617 Ratio in 1960 and a record low of 3.724 Ratio in 2016. SG: 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 Singapore – Table SG.World Bank.WDI: Health Statistics. Adolescent fertility rate is the number of births per 1,000 women ages 15-19.; ; United Nations Population Division, World Population Prospects.; Weighted average;
Last | Frequency | Range |
---|---|---|
3.72 2016 | yearly | 1960 - 2016 |
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Singapore SG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
SG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 0.800 NA in 2016. This records a decrease from the previous number of 0.900 NA for 2010. SG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 0.850 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 0.900 NA in 2010 and a record low of 0.800 NA in 2016. SG: 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 Singapore – Table SG.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 |
---|---|---|
0.800 2016 | yearly | 2010 - 2016 |
View Singapore's Singapore SG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Singapore SG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
SG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 3.300 NA in 2016. This records a decrease from the previous number of 3.600 NA for 2010. SG: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 3.450 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 3.600 NA in 2010 and a record low of 3.300 NA in 2016. SG: 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 Singapore – Table SG.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 |
---|---|---|
3.300 2016 | yearly | 2010 - 2016 |
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Singapore SG: Antiretroviral Therapy Coverage: % of People Living with HIV
SG: Antiretroviral Therapy Coverage: % of People Living with HIV data was reported at 77.000 % in 2017. This records an increase from the previous number of 75.000 % for 2016. SG: Antiretroviral Therapy Coverage: % of People Living with HIV data is updated yearly, averaging 17.000 % from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 77.000 % in 2017 and a record low of 2.000 % in 2003. SG: Antiretroviral Therapy Coverage: % of People Living with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank: Health Statistics. Antiretroviral therapy coverage indicates the percentage of all people living with HIV who are receiving antiretroviral therapy.; ; UNAIDS estimates.; Weighted average;
Last | Frequency | Range |
---|---|---|
77.00 2017 | yearly | 2000 - 2017 |
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Singapore SG: Births Attended by Skilled Health Staff: % of Total
SG: Births Attended by Skilled Health Staff: % of Total data was reported at 99.600 % in 2016. This stayed constant from the previous number of 99.600 % for 2015. SG: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 99.700 % from Dec 1996 (Median) to 2016, with 21 observations. The data reached an all-time high of 99.800 % in 2008 and a record low of 99.600 % in 2016. SG: 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 Singapore – Table SG.World Bank.WDI: Health Statistics. Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Assistance by trained professionals during birth reduces the incidence of maternal deaths during childbirth. The share of births attended by skilled health staff is an indicator of a health system’s ability to provide adequate care for pregnant women.
Last | Frequency | Range |
---|---|---|
99.60 2015 | yearly | 1996 - 2015 |
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Singapore SG: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
SG: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 22.700 % in 2016. This records an increase from the previous number of 21.500 % for 2015. SG: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 19.900 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 22.700 % in 2016 and a record low of 13.900 % in 2000. SG: 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 Singapore – Table SG.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
Last | Frequency | Range |
---|---|---|
22.70 2016 | yearly | 2000 - 2016 |
View Singapore's Singapore SG: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2016 in the chart:
Singapore SG: Cause of Death: by Injury: % of Total
SG: Cause of Death: by Injury: % of Total data was reported at 3.700 % in 2016. This records an increase from the previous number of 3.500 % for 2015. SG: Cause of Death: by Injury: % of Total data is updated yearly, averaging 4.150 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 5.900 % in 2000 and a record low of 3.500 % in 2015. SG: 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 Singapore – Table SG.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;
Last | Frequency | Range |
---|---|---|
3.70 2016 | yearly | 2000 - 2016 |
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Singapore SG: Cause of Death: by Non-Communicable Diseases: % of Total
SG: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 73.600 % in 2016. This records a decrease from the previous number of 75.000 % for 2015. SG: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 76.050 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 80.200 % in 2000 and a record low of 73.600 % in 2016. SG: 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 Singapore – Table SG.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 |
---|---|---|
73.60 2016 | yearly | 2000 - 2016 |
View Singapore's Singapore SG: Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2016 in the chart:
Singapore SG: Community Health Workers: per 1000 People
SG: Community Health Workers: per 1000 People data was reported at 0.503 Ratio in 2016. This records an increase from the previous number of 0.399 Ratio for 2013. SG: Community Health Workers: per 1000 People data is updated yearly, averaging 0.402 Ratio from Dec 2012 (Median) to 2016, with 3 observations. The data reached an all-time high of 0.503 Ratio in 2016 and a record low of 0.399 Ratio in 2013. SG: Community Health Workers: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank: Health Statistics. Community health workers include various types of community health aides, many with country-specific occupational titles such as community health officers, community health-education workers, family health workers, lady health visitors and health extension package workers.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
Last | Frequency | Range |
---|---|---|
0.50 2016 | yearly | 2012 - 2016 |
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Singapore SG: Completeness of Infant Death Reporting
SG: Completeness of Infant Death Reporting data was reported at 100.000 % in 2009. This stayed constant from the previous number of 100.000 % for 2008. SG: Completeness of Infant Death Reporting data is updated yearly, averaging 100.000 % from Dec 2006 (Median) to 2009, with 4 observations. The data reached an all-time high of 100.000 % in 2009 and a record low of 100.000 % in 2009. SG: Completeness of Infant Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank: Health Statistics. Completeness of infant death reporting is the number of infant deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of infant deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; ;
Last | Frequency | Range |
---|---|---|
100.00 2009 | yearly | 2006 - 2009 |
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Singapore SG: Completeness of Total Death Reporting
SG: Completeness of Total Death Reporting data was reported at 74.259 % in 2009. This records a decrease from the previous number of 77.720 % for 2008. SG: Completeness of Total Death Reporting data is updated yearly, averaging 78.468 % from Dec 2006 (Median) to 2009, with 4 observations. The data reached an all-time high of 80.157 % in 2007 and a record low of 74.259 % in 2009. SG: Completeness of Total Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank: Health Statistics. Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; Weighted average;
Last | Frequency | Range |
---|---|---|
74.26 2009 | yearly | 2006 - 2009 |
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Singapore SG: Current Health Expenditure Per Capita: Current PPP
SG: Current Health Expenditure Per Capita: Current PPP data was reported at 0.004 Intl $ mn in 2015. This records an increase from the previous number of 0.003 Intl $ mn for 2014. SG: Current Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.002 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.004 Intl $ mn in 2015 and a record low of 0.001 Intl $ mn in 2001. SG: 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 Singapore – Table SG.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 |
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Singapore SG: Current Health Expenditure Per Capita: Current Price
SG: Current Health Expenditure Per Capita: Current Price data was reported at 0.002 USD mn in 2015. This records an increase from the previous number of 0.002 USD mn for 2014. SG: Current Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.001 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.002 USD mn in 2015 and a record low of 0.001 USD mn in 2001. SG: 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 Singapore – Table SG.World Bank.WDI: 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 |
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Singapore SG: Current Health Expenditure: % of GDP
SG: Current Health Expenditure: % of GDP data was reported at 4.252 % in 2015. This records an increase from the previous number of 3.927 % for 2014. SG: Current Health Expenditure: % of GDP data is updated yearly, averaging 3.289 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 4.252 % in 2015 and a record low of 2.853 % in 2007. SG: 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 Singapore – Table SG.World Bank.WDI: 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 |
---|---|---|
4.25 2015 | yearly | 2000 - 2015 |
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Singapore SG: Diabetes Prevalence: % of Population Aged 20-79
SG: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 10.990 % in 2017. SG: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 10.990 % from Dec 2017 (Median) to 2017, with 1 observations. SG: 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 Singapore – Table SG.World Bank.WDI: Health Statistics. Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes.; ; International Diabetes Federation, Diabetes Atlas.; Weighted average;
Last | Frequency | Range |
---|---|---|
10.99 2017 | yearly | 2017 - 2017 |
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Singapore SG: Domestic General Government Health Expenditure Per Capita: Current PPP
SG: Domestic General Government Health Expenditure Per Capita: Current PPP data was reported at 0.002 Intl $ mn in 2015. This records an increase from the previous number of 0.002 Intl $ mn for 2014. SG: Domestic General Government Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.001 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.002 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2001. SG: 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 Singapore – Table SG.World Bank: 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 Singapore's Singapore SG: Domestic General Government Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Singapore SG: Domestic General Government Health Expenditure Per Capita: Current Price
SG: Domestic General Government Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2015. This records an increase from the previous number of 0.001 USD mn for 2014. SG: 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 0.001 USD mn in 2015 and a record low of 0.000 USD mn in 2001. SG: 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 Singapore – Table SG.World Bank: 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 Singapore's Singapore SG: Domestic General Government Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Singapore SG: Domestic General Government Health Expenditure: % of Current Health Expenditure
SG: Domestic General Government Health Expenditure: % of Current Health Expenditure data was reported at 51.876 % in 2015. This records an increase from the previous number of 50.952 % for 2014. SG: Domestic General Government Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 37.190 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 51.876 % in 2015 and a record low of 27.885 % in 2001. SG: 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 Singapore – Table SG.World Bank.WDI: 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 |
---|---|---|
51.88 2015 | yearly | 2000 - 2015 |
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Singapore SG: Domestic General Government Health Expenditure: % of GDP
SG: Domestic General Government Health Expenditure: % of GDP data was reported at 2.206 % in 2015. This records an increase from the previous number of 2.001 % for 2014. SG: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 1.282 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 2.206 % in 2015 and a record low of 0.887 % in 2001. SG: 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 Singapore – Table SG.World Bank.WDI: 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 |
---|---|---|
2.21 2015 | yearly | 2000 - 2015 |
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Singapore SG: Domestic General Government Health Expenditure: % of General Government Expenditure
SG: Domestic General Government Health Expenditure: % of General Government Expenditure data was reported at 12.043 % in 2015. This records a decrease from the previous number of 12.343 % for 2014. SG: Domestic General Government Health Expenditure: % of General Government Expenditure data is updated yearly, averaging 7.173 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 12.343 % in 2014 and a record low of 4.135 % in 2001. SG: 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 Singapore – Table SG.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 |
---|---|---|
12.04 2015 | yearly | 2000 - 2015 |
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Singapore SG: Domestic Private Health Expenditure Per Capita: Current PPP
SG: Domestic Private Health Expenditure Per Capita: Current PPP data was reported at 0.002 Intl $ mn in 2015. This records an increase from the previous number of 0.002 Intl $ mn for 2014. SG: Domestic Private Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.001 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.002 Intl $ mn in 2015 and a record low of 0.001 Intl $ mn in 2000. SG: 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 Singapore – Table SG.World Bank: 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 Singapore's Singapore SG: Domestic Private Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Singapore SG: Domestic Private Health Expenditure Per Capita: Current Price
SG: Domestic Private Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2015. This records an increase from the previous number of 0.001 USD mn for 2014. SG: Domestic Private Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.001 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 USD mn in 2013 and a record low of 0.001 USD mn in 2001. SG: 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 Singapore – Table SG.World Bank: 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 Singapore's Singapore SG: Domestic Private Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Singapore SG: Domestic Private Health Expenditure: % of Current Health Expenditure
SG: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 48.124 % in 2015. This records a decrease from the previous number of 49.048 % for 2014. SG: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 62.810 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 72.115 % in 2001 and a record low of 48.124 % in 2015. SG: 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 Singapore – Table SG.World Bank.WDI: 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 |
---|---|---|
48.12 2015 | yearly | 2000 - 2015 |
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Singapore SG: External Health Expenditure Per Capita: Current PPP
SG: External Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This stayed constant from the previous number of 0.000 Intl $ mn for 2014. SG: 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. SG: 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 Singapore – Table SG.World Bank: 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 Singapore's Singapore SG: External Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Singapore SG: External Health Expenditure Per Capita: Current Price
SG: External Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This stayed constant from the previous number of 0.000 USD mn for 2014. SG: 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. SG: 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 Singapore – Table SG.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 Singapore's Singapore SG: External Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Singapore SG: External Health Expenditure: % of Current Health Expenditure
SG: External Health Expenditure: % of Current Health Expenditure data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. SG: External Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 0.000 % from Dec 2000 (Median) to 2015, with 16 observations. SG: 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 Singapore – Table SG.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 |
---|---|---|
0.00 2015 | yearly | 2000 - 2015 |
View Singapore's Singapore SG: External Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Singapore SG: Fertility Rate: Total: Births per Woman
SG: Fertility Rate: Total: Births per Woman data was reported at 1.200 Ratio in 2016. This records a decrease from the previous number of 1.240 Ratio for 2015. SG: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.720 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 5.760 Ratio in 1960 and a record low of 1.150 Ratio in 2010. SG: 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 Singapore – Table SG.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 |
---|---|---|
1.20 2016 | yearly | 1960 - 2016 |
View Singapore's Singapore SG: Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
Singapore SG: Hospital Beds: per 1000 People
SG: Hospital Beds: per 1000 People data was reported at 2.000 Number in 2011. This records a decrease from the previous number of 3.100 Number for 2008. SG: Hospital Beds: per 1000 People data is updated yearly, averaging 3.451 Number from Dec 1960 (Median) to 2011, with 17 observations. The data reached an all-time high of 4.392 Number in 1960 and a record low of 2.000 Number in 2011. SG: 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 Singapore – Table SG.World Bank.WDI: 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 |
---|---|---|
2.00 2011 | yearly | 1960 - 2011 |
View Singapore's Singapore SG: Hospital Beds: per 1000 People from 1960 to 2011 in the chart:
Singapore SG: Immunization: DPT: % of Children Aged 12-23 Months
SG: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 96.000 % in 2017. This records a decrease from the previous number of 97.000 % for 2016. SG: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 96.000 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 98.000 % in 2000 and a record low of 85.000 % in 1990. SG: 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 Singapore – Table SG.World Bank: Health Statistics. Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
Last | Frequency | Range |
---|---|---|
97.00 2016 | yearly | 1980 - 2016 |
View Singapore's Singapore SG: Immunization: DPT: % of Children Aged 12-23 Months from 1980 to 2016 in the chart:
Singapore SG: Immunization: HepB3: % of One-Year-Old Children
SG: Immunization: HepB3: % of One-Year-Old Children data was reported at 96.000 % in 2017. This stayed constant from the previous number of 96.000 % for 2016. SG: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 96.000 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 97.000 % in 2013 and a record low of 74.000 % in 1990. SG: 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 Singapore – Table SG.World Bank.WDI: Health Statistics. Child immunization rate, hepatitis B is the percentage of children ages 12-23 months who received hepatitis B vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized after three doses.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
Last | Frequency | Range |
---|---|---|
96.00 2016 | yearly | 1990 - 2016 |
View Singapore's Singapore SG: Immunization: HepB3: % of One-Year-Old Children from 1990 to 2016 in the chart:
Singapore SG: Immunization: Measles: % of Children Aged 12-23 Months
SG: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 95.000 % in 2017. This stayed constant from the previous number of 95.000 % for 2016. SG: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 95.000 % from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 98.000 % in 1997 and a record low of 47.000 % in 1980. SG: 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 Singapore – Table SG.World Bank.WDI: Health Statistics. Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
Last | Frequency | Range |
---|---|---|
95.00 2016 | yearly | 1980 - 2016 |
View Singapore's Singapore SG: Immunization: Measles: % of Children Aged 12-23 Months from 1980 to 2016 in the chart:
Singapore SG: Incidence of HIV: % of Uninfected Population Aged 15-49
SG: Incidence of HIV: % of Uninfected Population Aged 15-49 data was reported at 0.010 % in 2017. This stayed constant from the previous number of 0.010 % for 2016. SG: Incidence of HIV: % of Uninfected Population Aged 15-49 data is updated yearly, averaging 0.020 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 0.020 % in 2013 and a record low of 0.010 % in 2017. SG: Incidence of HIV: % of Uninfected Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank: Health Statistics. Number of new HIV infections among uninfected populations ages 15-49 expressed per 100 uninfected population in the year before the period.; ; UNAIDS estimates.; Weighted average;
Last | Frequency | Range |
---|---|---|
0.01 2017 | yearly | 1990 - 2017 |
View Singapore's Singapore SG: Incidence of HIV: % of Uninfected Population Aged 15-49 from 1990 to 2017 in the chart:
Singapore SG: Incidence of Tuberculosis: per 100,000 People
SG: Incidence of Tuberculosis: per 100,000 People data was reported at 51.000 Ratio in 2016. This records an increase from the previous number of 45.000 Ratio for 2015. SG: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 42.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 51.000 Ratio in 2016 and a record low of 33.000 Ratio in 2007. SG: 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 Singapore – Table SG.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 |
---|---|---|
51.00 2016 | yearly | 2000 - 2016 |
View Singapore's Singapore SG: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Singapore SG: Intentional Homicides: Female: per 100,000 Female
SG: Intentional Homicides: Female: per 100,000 Female data was reported at 0.246 Ratio in 2016. This records an increase from the previous number of 0.107 Ratio for 2015. SG: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 0.225 Ratio from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 0.448 Ratio in 2008 and a record low of 0.107 Ratio in 2015. SG: 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 Singapore – Table SG.World Bank.WDI: 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 |
---|---|---|
0.25 2016 | yearly | 2006 - 2016 |
View Singapore's Singapore SG: Intentional Homicides: Female: per 100,000 Female from 2006 to 2016 in the chart:
Singapore SG: Intentional Homicides: Male: per 100,000 Male
SG: Intentional Homicides: Male: per 100,000 Male data was reported at 0.397 Ratio in 2016. This records a decrease from the previous number of 0.402 Ratio for 2015. SG: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 0.416 Ratio from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 0.667 Ratio in 2008 and a record low of 0.192 Ratio in 2012. SG: 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 Singapore – Table SG.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 |
---|---|---|
0.40 2016 | yearly | 2006 - 2016 |
View Singapore's Singapore SG: Intentional Homicides: Male: per 100,000 Male from 2006 to 2016 in the chart:
Singapore SG: Intentional Homicides: per 100,000 People
SG: Intentional Homicides: per 100,000 People data was reported at 0.321 Ratio in 2017. This records an increase from the previous number of 0.253 Ratio for 2016. SG: Intentional Homicides: per 100,000 People data is updated yearly, averaging 0.474 Ratio from Mar 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 1.465 Ratio in 1996 and a record low of 0.209 Ratio in 2013. SG: 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 Singapore – Table SG.World Bank: Health Statistics. Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; Weighted average;
Last | Frequency | Range |
---|---|---|
0.20 2016 | yearly | 1996 - 2016 |
View Singapore's Singapore SG: Intentional Homicides: per 100,000 People from 1996 to 2016 in the chart:
Singapore SG: Life Expectancy at Birth: Female
SG: Life Expectancy at Birth: Female data was reported at 85.100 Year in 2016. This stayed constant from the previous number of 85.100 Year for 2015. SG: Life Expectancy at Birth: Female data is updated yearly, averaging 76.900 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 85.100 Year in 2016 and a record low of 69.195 Year in 1960. SG: 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 Singapore – Table SG.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
Last | Frequency | Range |
---|---|---|
85.10 2016 | yearly | 1960 - 2016 |
View Singapore's Singapore SG: Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
Singapore SG: Life Expectancy at Birth: Male
SG: Life Expectancy at Birth: Male data was reported at 80.600 Year in 2016. This records an increase from the previous number of 80.500 Year for 2015. SG: Life Expectancy at Birth: Male data is updated yearly, averaging 72.600 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 80.600 Year in 2016 and a record low of 62.293 Year in 1960. SG: 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 Singapore – Table SG.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
Last | Frequency | Range |
---|---|---|
80.60 2016 | yearly | 1960 - 2016 |
View Singapore's Singapore SG: Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
Singapore SG: Life Expectancy at Birth: Total
SG: Life Expectancy at Birth: Total data was reported at 82.795 Year in 2016. This records an increase from the previous number of 82.744 Year for 2015. SG: Life Expectancy at Birth: Total data is updated yearly, averaging 74.698 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 82.795 Year in 2016 and a record low of 65.660 Year in 1960. SG: 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 Singapore – Table SG.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 |
---|---|---|
82.80 2016 | yearly | 1960 - 2016 |
View Singapore's Singapore SG: Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
Singapore SG: Lifetime Risk Of Maternal Death
SG: Lifetime Risk Of Maternal Death data was reported at 0.012 % in 2015. This records a decrease from the previous number of 0.012 % for 2014. SG: Lifetime Risk Of Maternal Death data is updated yearly, averaging 0.021 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 0.028 % in 1999 and a record low of 0.012 % in 2015. SG: 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 Singapore – Table SG.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 |
---|---|---|
0.01 2015 | yearly | 1990 - 2015 |
View Singapore's Singapore SG: Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
Singapore SG: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
SG: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 8,200.000 NA in 2015. This records an increase from the previous number of 8,000.000 NA for 2014. SG: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 4,700.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 8,200.000 NA in 2015 and a record low of 3,500.000 NA in 2000. SG: 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 Singapore – Table SG.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 |
---|---|---|
8,200.00 2015 | yearly | 1990 - 2015 |
View Singapore's Singapore SG: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
Singapore SG: Low-Birthweight Babies: % of Births
SG: Low-Birthweight Babies: % of Births data was reported at 9.500 % in 2011. This records an increase from the previous number of 8.000 % for 2000. SG: Low-Birthweight Babies: % of Births data is updated yearly, averaging 8.750 % from Dec 2000 (Median) to 2011, with 2 observations. The data reached an all-time high of 9.500 % in 2011 and a record low of 8.000 % in 2000. SG: Low-Birthweight Babies: % of Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Health Statistics. Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hours of life, before significant postnatal weight loss has occurred.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average;
Last | Frequency | Range |
---|---|---|
9.50 2011 | yearly | 2000 - 2011 |
View Singapore's Singapore SG: Low-Birthweight Babies: % of Births from 2000 to 2011 in the chart:
Singapore SG: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
SG: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 10.000 Ratio in 2015. This stayed constant from the previous number of 10.000 Ratio for 2014. SG: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 13.500 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 18.000 Ratio in 2002 and a record low of 10.000 Ratio in 2015. SG: 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 Singapore – Table SG.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 |
---|---|---|
10.00 2015 | yearly | 1990 - 2015 |
View Singapore's Singapore SG: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
Singapore SG: Mortality Caused by Road Traffic Injury: per 100,000 People
SG: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 3.700 Number in 2015. This records a decrease from the previous number of 5.100 Number for 2010. SG: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 4.950 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 6.700 Number in 2000 and a record low of 3.700 Number in 2015. SG: 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 Singapore – Table SG.World Bank: Health Statistics. Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.; ; World Health Organization, Global Status Report on Road Safety.; Weighted average;
Last | Frequency | Range |
---|---|---|
3.70 2015 | yearly | 2000 - 2015 |
View Singapore's Singapore SG: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
Singapore SG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
SG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 19.000 NA in 2016. SG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 19.000 NA from Dec 2016 (Median) to 2016, with 1 observations. SG: 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 Singapore – Table SG.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 |
---|---|---|
19.000 2016 | yearly | 2016 - 2016 |
View Singapore's Singapore SG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Singapore SG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
SG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 33.000 NA in 2016. SG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 33.000 NA from Dec 2016 (Median) to 2016, with 1 observations. SG: 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 Singapore – Table SG.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 |
---|---|---|
33.000 2016 | yearly | 2016 - 2016 |
View Singapore's Singapore SG: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Singapore SG: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
SG: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 25.900 Ratio in 2016. SG: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 25.900 Ratio from Dec 2016 (Median) to 2016, with 1 observations. SG: 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 Singapore – Table SG.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 |
---|---|---|
25.90 2016 | yearly | 2016 - 2016 |
View Singapore's Singapore SG: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Singapore SG: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
SG: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 0.100 Ratio in 2016. This stayed constant from the previous number of 0.100 Ratio for 2015. SG: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 0.100 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.100 Ratio in 2016 and a record low of 0.100 Ratio in 2016. SG: 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 Singapore – Table SG.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
0.10 2016 | yearly | 2000 - 2016 |
View Singapore's Singapore SG: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Singapore SG: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
SG: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 0.100 Ratio in 2016. This stayed constant from the previous number of 0.100 Ratio for 2015. SG: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 0.100 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.200 Ratio in 2005 and a record low of 0.100 Ratio in 2016. SG: 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 Singapore – Table SG.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 |
---|---|---|
0.10 2016 | yearly | 2000 - 2016 |
View Singapore's Singapore SG: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Singapore SG: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
SG: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 0.100 Ratio in 2016. This stayed constant from the previous number of 0.100 Ratio for 2015. SG: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 0.100 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.100 Ratio in 2016 and a record low of 0.100 Ratio in 2016. SG: 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 Singapore – Table SG.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
0.10 2016 | yearly | 2000 - 2016 |
View Singapore's Singapore SG: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Singapore SG: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
SG: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 0.100 Ratio in 2016. SG: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 0.100 Ratio from Dec 2016 (Median) to 2016, with 1 observations. SG: 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 Singapore – Table SG.World Bank: Health Statistics. Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
Last | Frequency | Range |
---|---|---|
0.10 2016 | yearly | 2016 - 2016 |
View Singapore's Singapore SG: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Singapore SG: Mortality Rate: Adult: Female: per 1000 Female Adults
SG: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 38.601 Ratio in 2016. This records a decrease from the previous number of 39.135 Ratio for 2015. SG: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 89.318 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 168.815 Ratio in 1960 and a record low of 38.601 Ratio in 2016. SG: 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 Singapore – Table SG.World Bank: Health Statistics. Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;
Last | Frequency | Range |
---|---|---|
38.60 2016 | yearly | 1960 - 2016 |
View Singapore's Singapore SG: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2016 in the chart:
Singapore SG: Mortality Rate: Adult: Male: per 1000 Male Adults
SG: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 63.016 Ratio in 2016. This records a decrease from the previous number of 64.706 Ratio for 2015. SG: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 143.568 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 269.705 Ratio in 1960 and a record low of 63.016 Ratio in 2016. SG: 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 Singapore – Table SG.World Bank: Health Statistics. Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;
Last | Frequency | Range |
---|---|---|
63.02 2016 | yearly | 1960 - 2016 |
View Singapore's Singapore SG: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2016 in the chart:
Singapore SG: Mortality Rate: Infant: Female: per 1000 Live Births
SG: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 2.000 Ratio in 2017. This records an increase from the previous number of 1.900 Ratio for 2015. SG: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 2.000 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 5.600 Ratio in 1990 and a record low of 1.900 Ratio in 2015. SG: Mortality Rate: Infant: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
Last | Frequency | Range |
---|---|---|
2.00 2016 | yearly | 1990 - 2016 |
View Singapore's Singapore SG: Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Singapore SG: Mortality Rate: Infant: Male: per 1000 Live Births
SG: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 2.400 Ratio in 2017. This records an increase from the previous number of 2.300 Ratio for 2015. SG: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 2.400 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 6.700 Ratio in 1990 and a record low of 2.300 Ratio in 2015. SG: Mortality Rate: Infant: Male: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Health Statistics. Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
Last | Frequency | Range |
---|---|---|
2.40 2016 | yearly | 1990 - 2016 |
View Singapore's Singapore SG: Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Singapore SG: Mortality Rate: Infant: per 1000 Live Births
SG: Mortality Rate: Infant: per 1000 Live Births data was reported at 2.200 Ratio in 2017. This stayed constant from the previous number of 2.200 Ratio for 2016. SG: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 7.000 Ratio from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 35.600 Ratio in 1960 and a record low of 2.100 Ratio in 2015. SG: 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 Singapore – Table SG.World Bank.WDI: 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 |
---|---|---|
2.20 2016 | yearly | 1960 - 2016 |
View Singapore's Singapore SG: Mortality Rate: Infant: per 1000 Live Births from 1960 to 2016 in the chart:
Singapore SG: Mortality Rate: Neonatal: per 1000 Live Births
SG: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 1.100 Ratio in 2016. This stayed constant from the previous number of 1.100 Ratio for 2015. SG: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 3.100 Ratio from Dec 1968 (Median) to 2016, with 49 observations. The data reached an all-time high of 16.000 Ratio in 1968 and a record low of 1.100 Ratio in 2016. SG: 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 Singapore – Table SG.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 |
---|---|---|
1.10 2016 | yearly | 1968 - 2016 |
View Singapore's Singapore SG: Mortality Rate: Neonatal: per 1000 Live Births from 1968 to 2016 in the chart:
Singapore SG: Mortality Rate: Under-5: Female: per 1000 Live Births
SG: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 2.600 Ratio in 2017. This records an increase from the previous number of 2.500 Ratio for 2015. SG: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 2.600 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 7.000 Ratio in 1990 and a record low of 2.500 Ratio in 2015. SG: 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 Singapore – Table SG.World Bank.WDI: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
Last | Frequency | Range |
---|---|---|
2.50 2016 | yearly | 1990 - 2016 |
View Singapore's Singapore SG: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Singapore SG: Mortality Rate: Under-5: Male: per 1000 Live Births
SG: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 3.100 Ratio in 2017. This records an increase from the previous number of 3.000 Ratio for 2015. SG: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 3.100 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 8.300 Ratio in 1990 and a record low of 3.000 Ratio in 2015. SG: 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 Singapore – Table SG.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 |
---|---|---|
3.00 2016 | yearly | 1990 - 2016 |
View Singapore's Singapore SG: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Singapore SG: Mortality Rate: Under-5: per 1000 Live Births
SG: Mortality Rate: Under-5: per 1000 Live Births data was reported at 2.800 Ratio in 2017. This stayed constant from the previous number of 2.800 Ratio for 2016. SG: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 8.750 Ratio from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 47.800 Ratio in 1960 and a record low of 2.700 Ratio in 2015. SG: 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 Singapore – Table SG.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 |
---|---|---|
2.80 2016 | yearly | 1960 - 2016 |
View Singapore's Singapore SG: Mortality Rate: Under-5: per 1000 Live Births from 1960 to 2016 in the chart:
Singapore SG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
SG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 9.300 % in 2016. This records a decrease from the previous number of 10.000 % for 2015. SG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 11.300 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 16.800 % in 2000 and a record low of 9.300 % in 2016. SG: 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 Singapore – Table SG.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 |
---|---|---|
9.30 2016 | yearly | 2000 - 2016 |
View Singapore's Singapore SG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2016 in the chart:
Singapore SG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
SG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 6.900 NA in 2016. This records a decrease from the previous number of 7.300 NA for 2015. SG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 8.000 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 13.000 NA in 2000 and a record low of 6.900 NA in 2016. SG: 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 Singapore – Table SG.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 |
---|---|---|
6.900 2016 | yearly | 2000 - 2016 |
View Singapore's Singapore SG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Singapore SG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
SG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 11.800 NA in 2016. This records a decrease from the previous number of 12.700 NA for 2015. SG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 14.700 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 20.500 NA in 2000 and a record low of 11.800 NA in 2016. SG: 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 Singapore – Table SG.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 |
---|---|---|
11.800 2016 | yearly | 2000 - 2016 |
View Singapore's Singapore SG: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Singapore SG: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14)
SG: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 500.000 Number in 2017. This stayed constant from the previous number of 500.000 Number for 2016. SG: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 500.000 Number from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 500.000 Number in 2017 and a record low of 200.000 Number in 1991. SG: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
Last | Frequency | Range |
---|---|---|
500.00 2017 | yearly | 1990 - 2017 |
View Singapore's Singapore SG: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) from 1990 to 2017 in the chart:
Singapore SG: Newly Infected with HIV: Adults: Aged 15+
SG: Newly Infected with HIV: Adults: Aged 15+ data was reported at 500.000 Number in 2017. This stayed constant from the previous number of 500.000 Number for 2016. SG: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 500.000 Number from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 500.000 Number in 2017 and a record low of 200.000 Number in 1991. SG: Newly Infected with HIV: Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank: Health Statistics. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;
Last | Frequency | Range |
---|---|---|
500.00 2017 | yearly | 1990 - 2017 |
View Singapore's Singapore SG: Newly Infected with HIV: Adults: Aged 15+ from 1990 to 2017 in the chart:
Singapore SG: Number of Death: Infant
SG: Number of Death: Infant data was reported at 110.000 Person in 2017. This stayed constant from the previous number of 110.000 Person for 2016. SG: Number of Death: Infant data is updated yearly, averaging 364.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2,191.000 Person in 1960 and a record low of 105.000 Person in 2014. SG: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.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 |
---|---|---|
109.00 2016 | yearly | 1960 - 2016 |
View Singapore's Singapore SG: Number of Death: Infant from 1960 to 2016 in the chart:
Singapore SG: Number of Death: Neonatal
SG: Number of Death: Neonatal data was reported at 52.000 Person in 2017. This stayed constant from the previous number of 52.000 Person for 2016. SG: Number of Death: Neonatal data is updated yearly, averaging 155.000 Person from Dec 1969 (Median) to 2017, with 49 observations. The data reached an all-time high of 769.000 Person in 1969 and a record low of 51.000 Person in 2015. SG: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.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 |
---|---|---|
55.00 2016 | yearly | 1969 - 2016 |
View Singapore's Singapore SG: Number of Death: Neonatal from 1969 to 2016 in the chart:
Singapore SG: Number of Death: Under-5
SG: Number of Death: Under-5 data was reported at 140.000 Person in 2017. This records an increase from the previous number of 138.000 Person for 2016. SG: Number of Death: Under-5 data is updated yearly, averaging 447.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2,939.000 Person in 1960 and a record low of 134.000 Person in 2014. SG: 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 Singapore – Table SG.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 |
---|---|---|
139.00 2016 | yearly | 1960 - 2016 |
View Singapore's Singapore SG: Number of Death: Under-5 from 1960 to 2016 in the chart:
Singapore SG: Number of Deaths Ages 10-14 Years
SG: Number of Deaths Ages 10-14 Years data was reported at 18.000 Person in 2019. This records a decrease from the previous number of 19.000 Person for 2018. SG: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 36.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 56.000 Person in 1990 and a record low of 18.000 Person in 2019. SG: 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 Singapore – Table SG.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 |
---|---|---|
18.000 2019 | yearly | 1990 - 2019 |
View Singapore's Singapore SG: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Singapore SG: Number of Deaths Ages 15-19 Years
SG: Number of Deaths Ages 15-19 Years data was reported at 53.000 Person in 2019. This records a decrease from the previous number of 58.000 Person for 2018. SG: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 81.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 122.000 Person in 1990 and a record low of 53.000 Person in 2019. SG: 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 Singapore – Table SG.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 |
---|---|---|
53.000 2019 | yearly | 1990 - 2019 |
View Singapore's Singapore SG: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Singapore SG: Number of Deaths Ages 20-24 Years
SG: Number of Deaths Ages 20-24 Years data was reported at 98.000 Person in 2019. This records a decrease from the previous number of 103.000 Person for 2018. SG: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 128.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 216.000 Person in 1990 and a record low of 98.000 Person in 2019. SG: 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 Singapore – Table SG.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 |
---|---|---|
98.000 2019 | yearly | 1990 - 2019 |
View Singapore's Singapore SG: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Singapore SG: Number of Deaths Ages 5-14 Years
SG: Number of Deaths Ages 5-14 Years data was reported at 42.000 Person in 2017. This records a decrease from the previous number of 46.000 Person for 2015. SG: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 59.000 Person from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 95.000 Person in 1990 and a record low of 42.000 Person in 2017. SG: 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 Singapore – Table SG.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 |
---|---|---|
42.00 2016 | yearly | 1990 - 2016 |
View Singapore's Singapore SG: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Singapore SG: Number of Deaths Ages 5-9 Years
SG: Number of Deaths Ages 5-9 Years data was reported at 14.000 Person in 2019. This records a decrease from the previous number of 15.000 Person for 2018. SG: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 25.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 43.000 Person in 1990 and a record low of 14.000 Person in 2019. SG: 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 Singapore – Table SG.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 |
---|---|---|
14.000 2019 | yearly | 1990 - 2019 |
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Singapore SG: Number of Maternal Death
SG: Number of Maternal Death data was reported at 5.000 Person in 2015. This stayed constant from the previous number of 5.000 Person for 2014. SG: Number of Maternal Death data is updated yearly, averaging 7.000 Person from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 9.000 Person in 2002 and a record low of 5.000 Person in 2015. SG: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.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 |
---|---|---|
5.00 2015 | yearly | 1990 - 2015 |
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Singapore SG: Nurses and Midwives: per 1000 People
SG: Nurses and Midwives: per 1000 People data was reported at 7.120 Ratio in 2016. This records an increase from the previous number of 5.649 Ratio for 2013. SG: Nurses and Midwives: per 1000 People data is updated yearly, averaging 4.992 Ratio from Dec 1999 (Median) to 2016, with 13 observations. The data reached an all-time high of 7.120 Ratio in 2016 and a record low of 4.172 Ratio in 1999. SG: 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 Singapore – Table SG.World Bank.WDI: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
Last | Frequency | Range |
---|---|---|
7.12 2016 | yearly | 1999 - 2016 |
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Singapore SG: Out-of-Pocket Health Expenditure Per Capita: Current Price
SG: Out-of-Pocket Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2015. This records a decrease from the previous number of 0.001 USD mn for 2014. SG: Out-of-Pocket Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.001 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 USD mn in 2013 and a record low of 0.000 USD mn in 2001. SG: 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 Singapore – Table SG.World Bank: 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 |
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Singapore SG: Out-of-Pocket Health Expenditure: % of Current Health Expenditure
SG: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 36.737 % in 2015. This records a decrease from the previous number of 38.151 % for 2014. SG: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 48.318 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 55.590 % in 2001 and a record low of 36.737 % in 2015. SG: 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 Singapore – Table SG.World Bank.WDI: 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 |
---|---|---|
36.74 2015 | yearly | 2000 - 2015 |