Seychelles Health Statistics
Seychelles SC: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
SC: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 57.799 Ratio in 2016. This records a decrease from the previous number of 58.677 Ratio for 2015. SC: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 67.993 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 160.738 Ratio in 1967 and a record low of 57.799 Ratio in 2016. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 57.80 2016 | yearly | 1960 - 2016 |
View Seychelles's Seychelles SC: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2016 in the chart:
Seychelles SC: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
SC: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 4.100 NA in 2016. This records an increase from the previous number of 1.900 NA for 2010. SC: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 3.000 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 4.100 NA in 2016 and a record low of 1.900 NA in 2010. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 4.100 2016 | yearly | 2010 - 2016 |
View Seychelles's Seychelles SC: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Seychelles SC: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
SC: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 19.700 NA in 2016. This records an increase from the previous number of 10.500 NA for 2010. SC: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 15.100 NA from Dec 2010 (Median) to 2016, with 2 observations. The data reached an all-time high of 19.700 NA in 2016 and a record low of 10.500 NA in 2010. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 19.700 2016 | yearly | 2010 - 2016 |
View Seychelles's Seychelles SC: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Seychelles SC: Births Attended by Skilled Health Staff: % of Total
SC: Births Attended by Skilled Health Staff: % of Total data was reported at 99.000 % in 2012. This stayed constant from the previous number of 99.000 % for 2011. SC: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 99.000 % from Dec 1990 (Median) to 2012, with 11 observations. The data reached an all-time high of 100.000 % in 2008 and a record low of 98.000 % in 1990. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 99.00 2012 | yearly | 1990 - 2012 |
View Seychelles's Seychelles SC: Births Attended by Skilled Health Staff: % of Total from 1990 to 2012 in the chart:
Seychelles SC: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
SC: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 11.900 % in 2016. This records a decrease from the previous number of 12.100 % for 2015. SC: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 12.200 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 12.300 % in 2010 and a record low of 11.900 % in 2016. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 11.90 2016 | yearly | 2000 - 2016 |
View Seychelles's Seychelles SC: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2016 in the chart:
Seychelles SC: Cause of Death: by Injury: % of Total
SC: Cause of Death: by Injury: % of Total data was reported at 7.300 % in 2016. This records a decrease from the previous number of 7.500 % for 2015. SC: Cause of Death: by Injury: % of Total data is updated yearly, averaging 7.850 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 8.500 % in 2010 and a record low of 7.300 % in 2016. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 7.30 2016 | yearly | 2000 - 2016 |
View Seychelles's Seychelles SC: Cause of Death: by Injury: % of Total from 2000 to 2016 in the chart:
Seychelles SC: Cause of Death: by Non-Communicable Diseases: % of Total
SC: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 80.800 % in 2016. This records an increase from the previous number of 80.500 % for 2015. SC: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 80.000 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 80.800 % in 2016 and a record low of 79.100 % in 2010. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 80.80 2016 | yearly | 2000 - 2016 |
View Seychelles's Seychelles SC: Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2016 in the chart:
Seychelles SC: Current Health Expenditure Per Capita: Current PPP
SC: Current Health Expenditure Per Capita: Current PPP data was reported at 0.001 Intl $ mn in 2015. This records an increase from the previous number of 0.001 Intl $ mn for 2014. SC: Current 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 0.001 Intl $ mn in 2012 and a record low of 0.000 Intl $ mn in 2009. SC: 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 Seychelles – Table SC.World Bank.WDI: Health Statistics. Current expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Seychelles's Seychelles SC: Current Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Seychelles SC: Current Health Expenditure Per Capita: Current Price
SC: Current Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records an increase from the previous number of 0.000 USD mn for 2014. SC: Current Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.001 USD mn in 2012 and a record low of 0.000 USD mn in 2009. SC: 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 Seychelles – Table SC.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 |
View Seychelles's Seychelles SC: Current Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Seychelles SC: Current Health Expenditure: % of GDP
SC: Current Health Expenditure: % of GDP data was reported at 3.391 % in 2015. This records an increase from the previous number of 3.388 % for 2014. SC: Current Health Expenditure: % of GDP data is updated yearly, averaging 3.637 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 4.687 % in 2003 and a record low of 2.563 % in 2009. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 3.39 2015 | yearly | 2000 - 2015 |
View Seychelles's Seychelles SC: Current Health Expenditure: % of GDP from 2000 to 2015 in the chart:
Seychelles SC: Diabetes Prevalence: % of Population Aged 20-79
SC: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 10.550 % in 2017. SC: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 10.550 % from Dec 2017 (Median) to 2017, with 1 observations. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 10.55 2017 | yearly | 2017 - 2017 |
View Seychelles's Seychelles SC: Diabetes Prevalence: % of Population Aged 20-79 from 2017 to 2017 in the chart:
Seychelles SC: Domestic General Government Health Expenditure Per Capita: Current PPP
SC: Domestic General Government Health Expenditure Per Capita: Current PPP data was reported at 0.001 Intl $ mn in 2015. This records an increase from the previous number of 0.001 Intl $ mn for 2014. SC: 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 0.001 Intl $ mn in 2012 and a record low of 0.000 Intl $ mn in 2009. SC: 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 Seychelles – Table SC.World Bank.WDI: Health Statistics. Public expenditure on health from domestic sources per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Seychelles's Seychelles SC: Domestic General Government Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Seychelles SC: Domestic General Government Health Expenditure Per Capita: Current Price
SC: Domestic General Government Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records an increase from the previous number of 0.000 USD mn for 2014. SC: Domestic General Government Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2015 and a record low of 0.000 USD mn in 2009. SC: 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 Seychelles – Table SC.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 Seychelles's Seychelles SC: Domestic General Government Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Seychelles SC: Domestic General Government Health Expenditure: % of Current Health Expenditure
SC: Domestic General Government Health Expenditure: % of Current Health Expenditure data was reported at 96.994 % in 2015. This records an increase from the previous number of 96.642 % for 2014. SC: Domestic General Government Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 91.670 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 96.994 % in 2015 and a record low of 82.112 % in 2000. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Share of current health expenditures funded from domestic public sources for health. Domestic public sources include domestic revenue as internal transfers and grants, transfers, subsidies to voluntary health insurance beneficiaries, non-profit institutions serving households (NPISH) or enterprise financing schemes as well as compulsory prepayment and social health insurance contributions. They do not include external resources spent by governments on health.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 96.99 2015 | yearly | 2000 - 2015 |
View Seychelles's Seychelles SC: Domestic General Government Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Seychelles SC: Domestic General Government Health Expenditure: % of GDP
SC: Domestic General Government Health Expenditure: % of GDP data was reported at 3.289 % in 2015. This records an increase from the previous number of 3.274 % for 2014. SC: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 3.366 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 4.146 % in 2003 and a record low of 2.387 % in 2009. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of the economy as measured by GDP.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 3.29 2015 | yearly | 2000 - 2015 |
View Seychelles's Seychelles SC: Domestic General Government Health Expenditure: % of GDP from 2000 to 2015 in the chart:
Seychelles SC: Domestic General Government Health Expenditure: % of General Government Expenditure
SC: Domestic General Government Health Expenditure: % of General Government Expenditure data was reported at 10.033 % in 2015. This records an increase from the previous number of 9.735 % for 2014. SC: Domestic General Government Health Expenditure: % of General Government Expenditure data is updated yearly, averaging 8.696 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 10.420 % in 2012 and a record low of 6.456 % in 2002. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 10.03 2015 | yearly | 2000 - 2015 |
View Seychelles's Seychelles SC: Domestic General Government Health Expenditure: % of General Government Expenditure from 2000 to 2015 in the chart:
Seychelles SC: Domestic Private Health Expenditure Per Capita: Current PPP
SC: Domestic Private Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records a decrease from the previous number of 0.000 Intl $ mn for 2014. SC: Domestic Private Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2000 and a record low of 0.000 Intl $ mn in 2015. SC: 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 Seychelles – Table SC.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 Seychelles's Seychelles SC: Domestic Private Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Seychelles SC: Domestic Private Health Expenditure Per Capita: Current Price
SC: Domestic Private Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. SC: Domestic Private Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2000 and a record low of 0.000 USD mn in 2015. SC: 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 Seychelles – Table SC.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 Seychelles's Seychelles SC: Domestic Private Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Seychelles SC: Domestic Private Health Expenditure: % of Current Health Expenditure
SC: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 2.541 % in 2015. This records a decrease from the previous number of 2.729 % for 2014. SC: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 6.441 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 17.888 % in 2000 and a record low of 2.541 % in 2015. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Share of current health expenditures funded from domestic private sources. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 2.54 2015 | yearly | 2000 - 2015 |
View Seychelles's Seychelles SC: Domestic Private Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Seychelles SC: External Health Expenditure Per Capita: Current PPP
SC: External Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records a decrease from the previous number of 0.000 Intl $ mn for 2014. SC: External Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 0.000 Intl $ mn in 2011 and a record low of 0.000 Intl $ mn in 2009. SC: 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 Seychelles – Table SC.World Bank.WDI: Health Statistics. Current external expenditures on health per capita expressed in international dollars at purchasing power parity (PPP). External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2003 - 2015 |
View Seychelles's Seychelles SC: External Health Expenditure Per Capita: Current PPP from 2003 to 2015 in the chart:
Seychelles SC: External Health Expenditure Per Capita: Current Price
SC: External Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. SC: External Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 0.000 USD mn in 2011 and a record low of 0.000 USD mn in 2009. SC: 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 Seychelles – Table SC.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 | 2003 - 2015 |
View Seychelles's Seychelles SC: External Health Expenditure Per Capita: Current Price from 2003 to 2015 in the chart:
Seychelles SC: External Health Expenditure: % of Current Health Expenditure
SC: External Health Expenditure: % of Current Health Expenditure data was reported at 0.464 % in 2015. This records a decrease from the previous number of 0.630 % for 2014. SC: External Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 0.874 % from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 9.433 % in 2011 and a record low of 0.464 % in 2015. SC: 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 Seychelles – Table SC.World Bank: 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 |
|---|---|---|
| 0.46 2015 | yearly | 2003 - 2015 |
View Seychelles's Seychelles SC: External Health Expenditure: % of Current Health Expenditure from 2003 to 2015 in the chart:
Seychelles SC: Fertility Rate: Total: Births per Woman
SC: Fertility Rate: Total: Births per Woman data was reported at 2.780 Ratio in 2016. This records an increase from the previous number of 2.410 Ratio for 2015. SC: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 2.285 Ratio from Dec 1976 (Median) to 2016, with 24 observations. The data reached an all-time high of 4.500 Ratio in 1976 and a record low of 1.980 Ratio in 2001. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.
| Last | Frequency | Range |
|---|---|---|
| 2.78 2016 | yearly | 1976 - 2016 |
View Seychelles's Seychelles SC: Fertility Rate: Total: Births per Woman from 1976 to 2016 in the chart:
Seychelles SC: Hospital Beds: per 1000 People
SC: Hospital Beds: per 1000 People data was reported at 3.600 Number in 2011. This records a decrease from the previous number of 3.900 Number for 2009. SC: Hospital Beds: per 1000 People data is updated yearly, averaging 5.325 Number from Dec 1960 (Median) to 2011, with 8 observations. The data reached an all-time high of 7.098 Number in 1960 and a record low of 3.600 Number in 2011. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.; ; Data are from the World Health Organization, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.60 2011 | yearly | 1960 - 2011 |
View Seychelles's Seychelles SC: Hospital Beds: per 1000 People from 1960 to 2011 in the chart:
Seychelles SC: Immunization: DPT: % of Children Aged 12-23 Months
SC: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 97.000 % in 2017. This records an increase from the previous number of 96.000 % for 2016. SC: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 99.000 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 99.000 % in 2014 and a record low of 96.000 % in 2016. SC: 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 Seychelles – Table SC.World Bank.WDI: Health Statistics. Child immunization, DPT, measures the percentage of children ages 12-23 months who received DPT vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 96.00 2016 | yearly | 1981 - 2016 |
View Seychelles's Seychelles SC: Immunization: DPT: % of Children Aged 12-23 Months from 1981 to 2016 in the chart:
Seychelles SC: Immunization: HepB3: % of One-Year-Old Children
SC: Immunization: HepB3: % of One-Year-Old Children data was reported at 97.000 % in 2016. This records a decrease from the previous number of 98.000 % for 2015. SC: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 99.000 % from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 99.000 % in 2014 and a record low of 96.000 % in 2001. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Child immunization rate, hepatitis B is the percentage of children ages 12-23 months who received hepatitis B vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized after three doses.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 97.00 2016 | yearly | 1995 - 2016 |
View Seychelles's Seychelles SC: Immunization: HepB3: % of One-Year-Old Children from 1995 to 2016 in the chart:
Seychelles SC: Immunization: Measles: % of Children Aged 12-23 Months
SC: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 97.000 % in 2016. This records a decrease from the previous number of 98.000 % for 2015. SC: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 97.000 % from Dec 1981 (Median) to 2016, with 36 observations. The data reached an all-time high of 99.000 % in 2014 and a record low of 29.000 % in 1981. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 97.00 2016 | yearly | 1981 - 2016 |
View Seychelles's Seychelles SC: Immunization: Measles: % of Children Aged 12-23 Months from 1981 to 2016 in the chart:
Seychelles SC: Incidence of Tuberculosis: per 100,000 People
SC: Incidence of Tuberculosis: per 100,000 People data was reported at 15.000 Ratio in 2016. This records an increase from the previous number of 9.800 Ratio for 2015. SC: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 22.000 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 40.000 Ratio in 2002 and a record low of 7.600 Ratio in 2008. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 15.00 2016 | yearly | 2000 - 2016 |
View Seychelles's Seychelles SC: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Seychelles SC: Intentional Homicides: Female: per 100,000 Female
SC: Intentional Homicides: Female: per 100,000 Female data was reported at 5.273 Ratio in 2014. This records a decrease from the previous number of 14.238 Ratio for 2013. SC: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 4.705 Ratio from Dec 2004 (Median) to 2014, with 10 observations. The data reached an all-time high of 14.238 Ratio in 2013 and a record low of 0.982 Ratio in 2012. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 5.27 2014 | yearly | 2004 - 2014 |
View Seychelles's Seychelles SC: Intentional Homicides: Female: per 100,000 Female from 2004 to 2014 in the chart:
Seychelles SC: Intentional Homicides: Male: per 100,000 Male
SC: Intentional Homicides: Male: per 100,000 Male data was reported at 29.076 Ratio in 2014. This records an increase from the previous number of 24.480 Ratio for 2013. SC: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 17.577 Ratio from Dec 2004 (Median) to 2014, with 10 observations. The data reached an all-time high of 29.076 Ratio in 2014 and a record low of 7.558 Ratio in 2012. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 29.08 2014 | yearly | 2004 - 2014 |
View Seychelles's Seychelles SC: Intentional Homicides: Male: per 100,000 Male from 2004 to 2014 in the chart:
Seychelles SC: Intentional Homicides: per 100,000 People
SC: Intentional Homicides: per 100,000 People data was reported at 2.100 Ratio in 2010. This records a decrease from the previous number of 5.400 Ratio for 2009. SC: Intentional Homicides: per 100,000 People data is updated yearly, averaging 5.500 Ratio from Dec 2002 (Median) to 2010, with 9 observations. The data reached an all-time high of 11.700 Ratio in 2003 and a record low of 2.100 Ratio in 2010. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 2.10 2010 | yearly | 2002 - 2010 |
View Seychelles's Seychelles SC: Intentional Homicides: per 100,000 People from 2002 to 2010 in the chart:
Seychelles SC: Life Expectancy at Birth: Female
SC: Life Expectancy at Birth: Female data was reported at 80.200 Year in 2016. This records an increase from the previous number of 78.700 Year for 2015. SC: Life Expectancy at Birth: Female data is updated yearly, averaging 76.500 Year from Dec 1980 (Median) to 2016, with 37 observations. The data reached an all-time high of 80.200 Year in 2016 and a record low of 72.600 Year in 1986. SC: 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 Seychelles – Table SC.World Bank.WDI: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 80.20 2016 | yearly | 1980 - 2016 |
View Seychelles's Seychelles SC: Life Expectancy at Birth: Female from 1980 to 2016 in the chart:
Seychelles SC: Life Expectancy at Birth: Male
SC: Life Expectancy at Birth: Male data was reported at 68.700 Year in 2016. This records a decrease from the previous number of 70.100 Year for 2015. SC: Life Expectancy at Birth: Male data is updated yearly, averaging 66.600 Year from Dec 1980 (Median) to 2016, with 37 observations. The data reached an all-time high of 70.100 Year in 2015 and a record low of 62.400 Year in 1990. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 68.70 2016 | yearly | 1980 - 2016 |
View Seychelles's Seychelles SC: Life Expectancy at Birth: Male from 1980 to 2016 in the chart:
Seychelles SC: Life Expectancy at Birth: Total
SC: Life Expectancy at Birth: Total data was reported at 74.310 Year in 2016. This records an increase from the previous number of 74.295 Year for 2015. SC: Life Expectancy at Birth: Total data is updated yearly, averaging 71.561 Year from Dec 1980 (Median) to 2016, with 37 observations. The data reached an all-time high of 74.310 Year in 2016 and a record low of 67.971 Year in 1989. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 74.31 2016 | yearly | 1980 - 2016 |
View Seychelles's Seychelles SC: Life Expectancy at Birth: Total from 1980 to 2016 in the chart:
Seychelles SC: Mortality Caused by Road Traffic Injury: per 100,000 People
SC: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 7.900 Number in 2015. This records a decrease from the previous number of 13.500 Number for 2010. SC: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 11.850 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 13.500 Number in 2010 and a record low of 7.900 Number in 2015. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 7.90 2015 | yearly | 2000 - 2015 |
View Seychelles's Seychelles SC: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
Seychelles SC: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
SC: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 31.000 NA in 2016. SC: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 31.000 NA from Dec 2016 (Median) to 2016, with 1 observations. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 31.000 2016 | yearly | 2016 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Seychelles SC: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
SC: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 70.000 NA in 2016. SC: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 70.000 NA from Dec 2016 (Median) to 2016, with 1 observations. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 70.000 2016 | yearly | 2016 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Seychelles SC: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
SC: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 49.300 Ratio in 2016. SC: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 49.300 Ratio from Dec 2016 (Median) to 2016, with 1 observations. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 49.30 2016 | yearly | 2016 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Seychelles SC: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
SC: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 0.500 Ratio in 2016. This stayed constant from the previous number of 0.500 Ratio for 2015. SC: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 0.600 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.700 Ratio in 2005 and a record low of 0.500 Ratio in 2016. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.50 2016 | yearly | 2000 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Seychelles SC: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
SC: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 0.700 Ratio in 2016. This stayed constant from the previous number of 0.700 Ratio for 2015. SC: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 0.800 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.900 Ratio in 2005 and a record low of 0.700 Ratio in 2016. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 0.70 2016 | yearly | 2000 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Seychelles SC: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
SC: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 0.600 Ratio in 2016. This stayed constant from the previous number of 0.600 Ratio for 2015. SC: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 0.700 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 0.800 Ratio in 2005 and a record low of 0.600 Ratio in 2016. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 0.60 2016 | yearly | 2000 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Seychelles SC: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
SC: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 0.200 Ratio in 2016. SC: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 0.200 Ratio from Dec 2016 (Median) to 2016, with 1 observations. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.20 2016 | yearly | 2016 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Seychelles SC: Mortality Rate: Adult: Female: per 1000 Female Adults
SC: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 89.208 Ratio in 2016. This records a decrease from the previous number of 90.340 Ratio for 2015. SC: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 117.957 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 206.590 Ratio in 1960 and a record low of 89.208 Ratio in 2016. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 89.21 2016 | yearly | 1960 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2016 in the chart:
Seychelles SC: Mortality Rate: Adult: Male: per 1000 Male Adults
SC: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 232.299 Ratio in 2016. This records a decrease from the previous number of 234.910 Ratio for 2015. SC: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 256.711 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 288.884 Ratio in 1992 and a record low of 232.299 Ratio in 2016. SC: 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 Seychelles – Table SC.World Bank.WDI: Health Statistics. Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 232.30 2016 | yearly | 1960 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2016 in the chart:
Seychelles SC: Mortality Rate: Infant: Female: per 1000 Live Births
SC: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 10.800 Ratio in 2016. This records a decrease from the previous number of 11.000 Ratio for 2015. SC: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 10.900 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 12.900 Ratio in 1990 and a record low of 10.600 Ratio in 2000. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 10.80 2016 | yearly | 1990 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Seychelles SC: Mortality Rate: Infant: Male: per 1000 Live Births
SC: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 13.200 Ratio in 2017. This records a decrease from the previous number of 13.400 Ratio for 2015. SC: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 13.200 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 15.500 Ratio in 1990 and a record low of 12.600 Ratio in 2000. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 13.70 2016 | yearly | 1990 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Seychelles SC: Mortality Rate: Infant: per 1000 Live Births
SC: Mortality Rate: Infant: per 1000 Live Births data was reported at 12.300 Ratio in 2016. This records a decrease from the previous number of 12.500 Ratio for 2015. SC: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 15.400 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 73.100 Ratio in 1960 and a record low of 11.900 Ratio in 2001. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 12.30 2016 | yearly | 1960 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate: Infant: per 1000 Live Births from 1960 to 2016 in the chart:
Seychelles SC: Mortality Rate: Neonatal: per 1000 Live Births
SC: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 9.000 Ratio in 2016. This records a decrease from the previous number of 9.100 Ratio for 2015. SC: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 9.100 Ratio from Dec 1987 (Median) to 2016, with 30 observations. The data reached an all-time high of 13.000 Ratio in 1987 and a record low of 8.900 Ratio in 2003. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 9.00 2016 | yearly | 1987 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate: Neonatal: per 1000 Live Births from 1987 to 2016 in the chart:
Seychelles SC: Mortality Rate: Under-5: Female: per 1000 Live Births
SC: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 12.500 Ratio in 2016. This records a decrease from the previous number of 12.700 Ratio for 2015. SC: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 12.600 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 14.900 Ratio in 1990 and a record low of 12.200 Ratio in 2000. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 12.50 2016 | yearly | 1990 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Seychelles SC: Mortality Rate: Under-5: Male: per 1000 Live Births
SC: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 16.000 Ratio in 2016. This records a decrease from the previous number of 16.300 Ratio for 2015. SC: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 16.000 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 18.400 Ratio in 1990 and a record low of 15.300 Ratio in 2000. SC: 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 Seychelles – Table SC.World Bank: 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 |
|---|---|---|
| 16.00 2016 | yearly | 1990 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Seychelles SC: Mortality Rate: Under-5: per 1000 Live Births
SC: Mortality Rate: Under-5: per 1000 Live Births data was reported at 14.300 Ratio in 2016. This records a decrease from the previous number of 14.500 Ratio for 2015. SC: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 18.000 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 101.900 Ratio in 1960 and a record low of 13.800 Ratio in 2001. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 14.30 2016 | yearly | 1960 - 2016 |
View Seychelles's Seychelles SC: Mortality Rate: Under-5: per 1000 Live Births from 1960 to 2016 in the chart:
Seychelles SC: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
SC: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 21.200 % in 2016. This records a decrease from the previous number of 21.300 % for 2015. SC: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 22.800 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 24.100 % in 2000 and a record low of 21.200 % in 2016. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 21.20 2016 | yearly | 2000 - 2016 |
View Seychelles's Seychelles SC: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2016 in the chart:
Seychelles SC: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
SC: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 13.200 NA in 2016. This records a decrease from the previous number of 13.400 NA for 2015. SC: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 14.400 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 16.100 NA in 2000 and a record low of 13.200 NA in 2016. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 13.200 2016 | yearly | 2000 - 2016 |
View Seychelles's Seychelles SC: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Seychelles SC: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
SC: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 28.700 NA in 2016. This records a decrease from the previous number of 28.800 NA for 2015. SC: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 30.300 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 32.200 NA in 2000 and a record low of 28.700 NA in 2016. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 28.700 2016 | yearly | 2000 - 2016 |
View Seychelles's Seychelles SC: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Seychelles SC: Newborns Protected Against Tetanus
SC: Newborns Protected Against Tetanus data was reported at 100.000 % in 2017. This stayed constant from the previous number of 100.000 % for 2016. SC: Newborns Protected Against Tetanus data is updated yearly, averaging 100.000 % from Dec 1986 (Median) to 2017, with 32 observations. The data reached an all-time high of 100.000 % in 2017 and a record low of 98.000 % in 1988. SC: Newborns Protected Against Tetanus data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. Newborns protected against tetanus are the percentage of births by women of child-bearing age who are immunized against tetanus.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2016 | yearly | 1980 - 2016 |
View Seychelles's Seychelles SC: Newborns Protected Against Tetanus from 1980 to 2016 in the chart:
Seychelles SC: Number of Death: Infant
SC: Number of Death: Infant data was reported at 18.000 Person in 2017. This records a decrease from the previous number of 19.000 Person for 2016. SC: Number of Death: Infant data is updated yearly, averaging 25.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 116.000 Person in 1963 and a record low of 18.000 Person in 2017. SC: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. Number of infants dying before reaching one year of age.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 19.00 2016 | yearly | 1960 - 2016 |
View Seychelles's Seychelles SC: Number of Death: Infant from 1960 to 2016 in the chart:
Seychelles SC: Number of Death: Neonatal
SC: Number of Death: Neonatal data was reported at 13.000 Person in 2017. This stayed constant from the previous number of 13.000 Person for 2016. SC: Number of Death: Neonatal data is updated yearly, averaging 15.000 Person from Dec 1987 (Median) to 2017, with 31 observations. The data reached an all-time high of 23.000 Person in 1987 and a record low of 13.000 Person in 2017. SC: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.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 |
|---|---|---|
| 14.00 2016 | yearly | 1988 - 2016 |
View Seychelles's Seychelles SC: Number of Death: Neonatal from 1988 to 2016 in the chart:
Seychelles SC: Number of Death: Under-5
SC: Number of Death: Under-5 data was reported at 21.000 Person in 2017. This records a decrease from the previous number of 22.000 Person for 2016. SC: Number of Death: Under-5 data is updated yearly, averaging 30.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 158.000 Person in 1963 and a record low of 21.000 Person in 2017. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 22.00 2016 | yearly | 1960 - 2016 |
View Seychelles's Seychelles SC: Number of Death: Under-5 from 1960 to 2016 in the chart:
Seychelles SC: Number of Deaths Ages 10-14 Years
SC: Number of Deaths Ages 10-14 Years data was reported at 2.000 Person in 2019. This stayed constant from the previous number of 2.000 Person for 2018. SC: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 2.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 3.000 Person in 1993 and a record low of 2.000 Person in 2019. SC: 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 Seychelles – Table SC.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 10-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 2.000 2019 | yearly | 1990 - 2019 |
View Seychelles's Seychelles SC: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Seychelles SC: Number of Deaths Ages 15-19 Years
SC: Number of Deaths Ages 15-19 Years data was reported at 7.000 Person in 2019. This stayed constant from the previous number of 7.000 Person for 2018. SC: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 6.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 7.000 Person in 2019 and a record low of 4.000 Person in 1990. SC: 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 Seychelles – Table SC.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 15-19 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 7.000 2019 | yearly | 1990 - 2019 |
View Seychelles's Seychelles SC: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Seychelles SC: Number of Deaths Ages 20-24 Years
SC: Number of Deaths Ages 20-24 Years data was reported at 7.000 Person in 2019. This stayed constant from the previous number of 7.000 Person for 2018. SC: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 7.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 8.000 Person in 1997 and a record low of 6.000 Person in 2013. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 7.000 2019 | yearly | 1990 - 2019 |
View Seychelles's Seychelles SC: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Seychelles SC: Number of Deaths Ages 5-14 Years
SC: Number of Deaths Ages 5-14 Years data was reported at 5.000 Person in 2016. This stayed constant from the previous number of 5.000 Person for 2015. SC: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 5.000 Person from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 8.000 Person in 1990 and a record low of 5.000 Person in 2016. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Number of deaths of children ages 5-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 5.00 2016 | yearly | 1990 - 2016 |
View Seychelles's Seychelles SC: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Seychelles SC: Number of Deaths Ages 5-9 Years
SC: Number of Deaths Ages 5-9 Years data was reported at 2.000 Person in 2019. This stayed constant from the previous number of 2.000 Person for 2018. SC: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 2.000 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 4.000 Person in 1990 and a record low of 2.000 Person in 2019. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 2.000 2019 | yearly | 1990 - 2019 |
View Seychelles's Seychelles SC: Number of Deaths Ages 5-9 Years from 1990 to 2019 in the chart:
Seychelles SC: Number of Surgical Procedures: per 100,000 population
SC: Number of Surgical Procedures: per 100,000 population data was reported at 4,268.000 Number in 2012. SC: Number of Surgical Procedures: per 100,000 population data is updated yearly, averaging 4,268.000 Number from Dec 2012 (Median) to 2012, with 1 observations. SC: Number of Surgical Procedures: per 100,000 population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. The number of procedures undertaken in an operating theatre per 100,000 population per year in each country. A procedure is defined as the incision, excision, or manipulation of tissue that needs regional or general anaesthesia, or profound sedation to control pain.; ; The Lancet Commission on Global Surgery (www.lancetglobalsurgery.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 4,268.00 2012 | yearly | 2012 - 2012 |
View Seychelles's Seychelles SC: Number of Surgical Procedures: per 100,000 population from 2012 to 2012 in the chart:
Seychelles SC: Nurses and Midwives: per 1000 People
SC: Nurses and Midwives: per 1000 People data was reported at 4.433 Ratio in 2012. This records an increase from the previous number of 4.426 Ratio for 2010. SC: Nurses and Midwives: per 1000 People data is updated yearly, averaging 4.442 Ratio from Dec 2004 (Median) to 2012, with 7 observations. The data reached an all-time high of 7.257 Ratio in 2004 and a record low of 4.394 Ratio in 2005. SC: 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 Seychelles – Table SC.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 |
|---|---|---|
| 4.43 2012 | yearly | 2004 - 2012 |
View Seychelles's Seychelles SC: Nurses and Midwives: per 1000 People from 2004 to 2012 in the chart:
Seychelles SC: Out-of-Pocket Health Expenditure Per Capita: Current Price
SC: Out-of-Pocket Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records an increase from the previous number of 0.000 USD mn for 2014. SC: Out-of-Pocket Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2000 and a record low of 0.000 USD mn in 2014. SC: 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 Seychelles – Table SC.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 |
View Seychelles's Seychelles SC: Out-of-Pocket Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Seychelles SC: Out-of-Pocket Health Expenditure: % of Current Health Expenditure
SC: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 2.484 % in 2015. This records an increase from the previous number of 2.209 % for 2014. SC: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 5.870 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 17.888 % in 2000 and a record low of 2.187 % in 2013. SC: 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 Seychelles – Table SC.World Bank: Health Statistics. Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 2.48 2015 | yearly | 2000 - 2015 |
View Seychelles's Seychelles SC: Out-of-Pocket Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Seychelles SC: Out-of-Pocket Helath Expenditure Per Capita: Current PPP
SC: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. SC: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2000 and a record low of 0.000 Intl $ mn in 2013. SC: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. Health expenditure through out-of-pocket payments per capita in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Seychelles's Seychelles SC: Out-of-Pocket Helath Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Seychelles SC: People Practicing Open Defecation: % of Population
SC: People Practicing Open Defecation: % of Population data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2014. SC: People Practicing Open Defecation: % of Population data is updated yearly, averaging 0.841 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 1.410 % in 2000 and a record low of 0.000 % in 2015. SC: People Practicing Open Defecation: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Seychelles's Seychelles SC: People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
Seychelles SC: People Using At Least Basic Drinking Water Services: % of Population
SC: People Using At Least Basic Drinking Water Services: % of Population data was reported at 96.251 % in 2015. This records an increase from the previous number of 96.242 % for 2014. SC: People Using At Least Basic Drinking Water Services: % of Population data is updated yearly, averaging 95.058 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 96.251 % in 2015 and a record low of 93.265 % in 2000. SC: People Using At Least Basic Drinking Water Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 96.25 2015 | yearly | 2000 - 2015 |
View Seychelles's Seychelles SC: People Using At Least Basic Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Seychelles SC: People Using At Least Basic Sanitation Services: % of Population
SC: People Using At Least Basic Sanitation Services: % of Population data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. SC: People Using At Least Basic Sanitation Services: % of Population data is updated yearly, averaging 97.324 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 94.138 % in 2000. SC: People Using At Least Basic Sanitation Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2015 | yearly | 2000 - 2015 |
View Seychelles's Seychelles SC: People Using At Least Basic Sanitation Services: % of Population from 2000 to 2015 in the chart:
Seychelles SC: Physicians: per 1000 People
SC: Physicians: per 1000 People data was reported at 0.984 Ratio in 2012. This records a decrease from the previous number of 1.141 Ratio for 2011. SC: Physicians: per 1000 People data is updated yearly, averaging 0.993 Ratio from Dec 1960 (Median) to 2012, with 16 observations. The data reached an all-time high of 1.385 Ratio in 2004 and a record low of 0.218 Ratio in 1975. SC: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Health Statistics. Physicians include generalist and specialist medical practitioners.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.98 2012 | yearly | 1960 - 2012 |
View Seychelles's Seychelles SC: Physicians: per 1000 People from 1960 to 2012 in the chart:
Seychelles SC: Prevalence of Anemia among Children: % of Children Under 5
SC: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 35.000 % in 2016. This records an increase from the previous number of 34.800 % for 2015. SC: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 38.400 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 54.400 % in 1990 and a record low of 34.700 % in 2014. SC: Prevalence of Anemia among Children: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. Prevalence of anemia, children under age 5, is the percentage of children under age 5 whose hemoglobin level is less than 110 grams per liter at sea level.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average; Anemia is defined as a low blood haemoglobin concentration. Anaemia may result from a number of causes, with the most significant contributor being iron deficiency. Anaemia resulting from iron deficiency adversely affects cognitive and motor development and causes fatigue and low productivity. Children under age 5 and pregnant women have the highest risk for anemia.
| Last | Frequency | Range |
|---|---|---|
| 35.00 2016 | yearly | 1990 - 2016 |
View Seychelles's Seychelles SC: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Seychelles SC: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49
SC: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data was reported at 22.100 % in 2016. This records an increase from the previous number of 21.300 % for 2015. SC: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data is updated yearly, averaging 23.100 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 33.800 % in 1990 and a record low of 19.900 % in 2011. SC: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. Prevalence of anemia, non-pregnant women, is the percentage of non-pregnant women whose hemoglobin level is less than 120 grams per liter at sea level.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 22.10 2016 | yearly | 1990 - 2016 |
View Seychelles's Seychelles SC: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Seychelles SC: Prevalence of Anemia among Pregnant Women: %
SC: Prevalence of Anemia among Pregnant Women: % data was reported at 27.200 % in 2016. This records an increase from the previous number of 26.800 % for 2015. SC: Prevalence of Anemia among Pregnant Women: % data is updated yearly, averaging 31.100 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 39.600 % in 1990 and a record low of 26.500 % in 2013. SC: Prevalence of Anemia among Pregnant Women: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. Prevalence of anemia, pregnant women, is the percentage of pregnant women whose hemoglobin level is less than 110 grams per liter at sea level.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 27.20 2016 | yearly | 1990 - 2016 |
View Seychelles's Seychelles SC: Prevalence of Anemia among Pregnant Women: % from 1990 to 2016 in the chart:
Seychelles SC: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49
SC: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 22.300 % in 2016. This records an increase from the previous number of 21.500 % for 2015. SC: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 23.400 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 34.200 % in 1990 and a record low of 20.200 % in 2011. SC: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 22.30 2016 | yearly | 1990 - 2016 |
View Seychelles's Seychelles SC: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Seychelles SC: Prevalence of Overweight: Weight for Height: % of Children Under 5
SC: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 10.200 % in 2012. This records an increase from the previous number of 5.800 % for 1988. SC: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 8.000 % from Dec 1988 (Median) to 2012, with 2 observations. The data reached an all-time high of 10.200 % in 2012 and a record low of 5.800 % in 1988. SC: Prevalence of Overweight: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues
| Last | Frequency | Range |
|---|---|---|
| 10.20 2012 | yearly | 1988 - 2012 |
View Seychelles's Seychelles SC: Prevalence of Overweight: Weight for Height: % of Children Under 5 from 1988 to 2012 in the chart:
SC: Prevalence of Overweight: Weight for Height: % of Children Under 5: Female
SC: Prevalence of Overweight: Weight for Height: % of Children Under 5: Female data was reported at 10.000 % in 2012. SC: Prevalence of Overweight: Weight for Height: % of Children Under 5: Female data is updated yearly, averaging 10.000 % from Dec 2012 (Median) to 2012, with 1 observations. The data reached an all-time high of 10.000 % in 2012 and a record low of 10.000 % in 2012. SC: Prevalence of Overweight: Weight for Height: % of Children Under 5: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Social: Health Statistics. Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues.
| Last | Frequency | Range |
|---|---|---|
| 10.000 2012 | yearly | 2012 - 2012 |
View Seychelles's SC: Prevalence of Overweight: Weight for Height: % of Children Under 5: Female from 2012 to 2012 in the chart:
SC: Prevalence of Overweight: Weight for Height: % of Children Under 5: Male
SC: Prevalence of Overweight: Weight for Height: % of Children Under 5: Male data was reported at 10.400 % in 2012. SC: Prevalence of Overweight: Weight for Height: % of Children Under 5: Male data is updated yearly, averaging 10.400 % from Dec 2012 (Median) to 2012, with 1 observations. The data reached an all-time high of 10.400 % in 2012 and a record low of 10.400 % in 2012. SC: Prevalence of Overweight: Weight for Height: % of Children Under 5: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Social: Health Statistics. Prevalence of overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues.
| Last | Frequency | Range |
|---|---|---|
| 10.400 2012 | yearly | 2012 - 2012 |
View Seychelles's SC: Prevalence of Overweight: Weight for Height: % of Children Under 5: Male from 2012 to 2012 in the chart:
Seychelles SC: Prevalence of Severe Wasting: Weight for Height: % of Children under 5
SC: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data was reported at 1.200 % in 2012. SC: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data is updated yearly, averaging 1.200 % from Dec 2012 (Median) to 2012, with 1 observations. SC: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. Prevalence of severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 1.20 2012 | yearly | 2012 - 2012 |
View Seychelles's Seychelles SC: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 from 2012 to 2012 in the chart:
Seychelles SC: Prevalence of Stunting: Height for Age: % of Children Under 5
SC: Prevalence of Stunting: Height for Age: % of Children Under 5 data was reported at 7.900 % in 2012. This records an increase from the previous number of 7.700 % for 1988. SC: Prevalence of Stunting: Height for Age: % of Children Under 5 data is updated yearly, averaging 7.800 % from Dec 1988 (Median) to 2012, with 2 observations. The data reached an all-time high of 7.900 % in 2012 and a record low of 7.700 % in 1988. SC: Prevalence of Stunting: Height for Age: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 7.90 2012 | yearly | 1988 - 2012 |
View Seychelles's Seychelles SC: Prevalence of Stunting: Height for Age: % of Children Under 5 from 1988 to 2012 in the chart:
SC: Prevalence of Stunting: Height for Age: % of Children Under 5: Female
SC: Prevalence of Stunting: Height for Age: % of Children Under 5: Female data was reported at 7.000 % in 2012. SC: Prevalence of Stunting: Height for Age: % of Children Under 5: Female data is updated yearly, averaging 7.000 % from Dec 2012 (Median) to 2012, with 1 observations. The data reached an all-time high of 7.000 % in 2012 and a record low of 7.000 % in 2012. SC: Prevalence of Stunting: Height for Age: % of Children Under 5: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Social: Health Statistics. Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 6.900 2012 | yearly | 2012 - 2012 |
View Seychelles's SC: Prevalence of Stunting: Height for Age: % of Children Under 5: Female from 2012 to 2012 in the chart:
SC: Prevalence of Stunting: Height for Age: % of Children Under 5: Male
SC: Prevalence of Stunting: Height for Age: % of Children Under 5: Male data was reported at 8.900 % in 2012. SC: Prevalence of Stunting: Height for Age: % of Children Under 5: Male data is updated yearly, averaging 8.900 % from Dec 2012 (Median) to 2012, with 1 observations. The data reached an all-time high of 8.900 % in 2012 and a record low of 8.900 % in 2012. SC: Prevalence of Stunting: Height for Age: % of Children Under 5: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Social: Health Statistics. Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 8.900 2012 | yearly | 2012 - 2012 |
View Seychelles's SC: Prevalence of Stunting: Height for Age: % of Children Under 5: Male from 2012 to 2012 in the chart:
Seychelles SC: Prevalence of Underweight: Weight for Age: % of Children Under 5
SC: Prevalence of Underweight: Weight for Age: % of Children Under 5 data was reported at 3.600 % in 2012. This records a decrease from the previous number of 5.000 % for 1988. SC: Prevalence of Underweight: Weight for Age: % of Children Under 5 data is updated yearly, averaging 4.300 % from Dec 1988 (Median) to 2012, with 2 observations. The data reached an all-time high of 5.000 % in 1988 and a record low of 3.600 % in 2012. SC: Prevalence of Underweight: Weight for Age: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. Prevalence of underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's child growth standards released in 2006.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 3.60 2012 | yearly | 1988 - 2012 |
View Seychelles's Seychelles SC: Prevalence of Underweight: Weight for Age: % of Children Under 5 from 1988 to 2012 in the chart:
SC: Prevalence of Underweight: Weight for Age: % of Children Under 5: Female
SC: Prevalence of Underweight: Weight for Age: % of Children Under 5: Female data was reported at 3.200 % in 2012. SC: Prevalence of Underweight: Weight for Age: % of Children Under 5: Female data is updated yearly, averaging 3.200 % from Dec 2012 (Median) to 2012, with 1 observations. The data reached an all-time high of 3.200 % in 2012 and a record low of 3.200 % in 2012. SC: Prevalence of Underweight: Weight for Age: % of Children Under 5: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Social: Health Statistics. Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 3.100 2012 | yearly | 2012 - 2012 |
View Seychelles's SC: Prevalence of Underweight: Weight for Age: % of Children Under 5: Female from 2012 to 2012 in the chart:
SC: Prevalence of Underweight: Weight for Age: % of Children Under 5: Male
SC: Prevalence of Underweight: Weight for Age: % of Children Under 5: Male data was reported at 4.400 % in 2012. SC: Prevalence of Underweight: Weight for Age: % of Children Under 5: Male data is updated yearly, averaging 4.400 % from Dec 2012 (Median) to 2012, with 1 observations. The data reached an all-time high of 4.400 % in 2012 and a record low of 4.400 % in 2012. SC: Prevalence of Underweight: Weight for Age: % of Children Under 5: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Social: Health Statistics. Prevalence of underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 4.100 2012 | yearly | 2012 - 2012 |
View Seychelles's SC: Prevalence of Underweight: Weight for Age: % of Children Under 5: Male from 2012 to 2012 in the chart:
Seychelles SC: Prevalence of Wasting: Weight for Height: % of Children Under 5
SC: Prevalence of Wasting: Weight for Height: % of Children Under 5 data was reported at 4.300 % in 2012. This records an increase from the previous number of 2.700 % for 1988. SC: Prevalence of Wasting: Weight for Height: % of Children Under 5 data is updated yearly, averaging 3.500 % from Dec 1988 (Median) to 2012, with 2 observations. The data reached an all-time high of 4.300 % in 2012 and a record low of 2.700 % in 1988. SC: Prevalence of Wasting: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 4.30 2012 | yearly | 1988 - 2012 |
View Seychelles's Seychelles SC: Prevalence of Wasting: Weight for Height: % of Children Under 5 from 1988 to 2012 in the chart:
Seychelles SC: Probability of Dying at Age 10-14 Years: per 1000
SC: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 1.300 Ratio in 2019. This records a decrease from the previous number of 1.400 Ratio for 2018. SC: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 1.500 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1.600 Ratio in 1992 and a record low of 1.300 Ratio in 2019. SC: Probability of Dying at Age 10-14 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Health Statistics. Probability of dying between age 10-14 years of age expressed per 1,000 adolescents age 10, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 1.300 2019 | yearly | 1990 - 2019 |
View Seychelles's Seychelles SC: Probability of Dying at Age 10-14 Years: per 1000 from 1990 to 2019 in the chart:
Seychelles SC: Probability of Dying at Age 15-19 Years: per 1000
SC: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 5.800 Ratio in 2019. This stayed constant from the previous number of 5.800 Ratio for 2018. SC: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 3.700 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 5.800 Ratio in 2019 and a record low of 2.900 Ratio in 1990. SC: Probability of Dying at Age 15-19 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Health Statistics. Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 5.800 2019 | yearly | 1990 - 2019 |
View Seychelles's Seychelles SC: Probability of Dying at Age 15-19 Years: per 1000 from 1990 to 2019 in the chart:
Seychelles SC: Probability of Dying at Age 20-24 Years: per 1000
SC: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 5.100 Ratio in 2019. This records an increase from the previous number of 5.000 Ratio for 2018. SC: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 4.700 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 5.600 Ratio in 1990 and a record low of 3.900 Ratio in 2010. SC: Probability of Dying at Age 20-24 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Health Statistics. Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 5.100 2019 | yearly | 1990 - 2019 |
View Seychelles's Seychelles SC: Probability of Dying at Age 20-24 Years: per 1000 from 1990 to 2019 in the chart:
Seychelles SC: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5
SC: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data was reported at 3.800 Ratio in 2016. This stayed constant from the previous number of 3.800 Ratio for 2015. SC: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data is updated yearly, averaging 3.900 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 4.900 Ratio in 1990 and a record low of 3.800 Ratio in 2016. SC: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank: Health Statistics. Probability of dying between age 5-14 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 3.80 2016 | yearly | 1990 - 2016 |
View Seychelles's Seychelles SC: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 from 1990 to 2016 in the chart:
Seychelles SC: Probability of Dying at Age 5-9 Years: per 1000
SC: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 1.200 Ratio in 2019. This stayed constant from the previous number of 1.200 Ratio for 2018. SC: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 1.600 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 2.100 Ratio in 1990 and a record low of 1.200 Ratio in 2019. SC: Probability of Dying at Age 5-9 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Health Statistics. Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 1.200 2019 | yearly | 1990 - 2019 |
View Seychelles's Seychelles SC: Probability of Dying at Age 5-9 Years: per 1000 from 1990 to 2019 in the chart:
Seychelles SC: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk
SC: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data was reported at 0.400 % in 2017. This stayed constant from the previous number of 0.400 % for 2016. SC: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data is updated yearly, averaging 0.400 % from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 0.500 % in 2015 and a record low of 0.400 % in 2017. SC: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Seychelles – Table SC.World Bank.WDI: Health Statistics. The proportion of population at risk of catastrophic expenditure when surgical care is required. Catastrophic expenditure is defined as direct out of pocket payments for surgical and anaesthesia care exceeding 10% of total income.; ; The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/); Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 16.10 2014 | yearly | 2014 - 2014 |