Mauritius Health Statistics
Mauritius MU: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19
MU: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 26.930 Ratio in 2016. This records a decrease from the previous number of 27.293 Ratio for 2015. MU: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 43.004 Ratio from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 127.247 Ratio in 1960 and a record low of 26.930 Ratio in 2016. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 26.93 2016 | yearly | 1960 - 2016 |
View Mauritius's Mauritius MU: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 from 1960 to 2016 in the chart:
Mauritius MU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female
MU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data was reported at 1.000 NA in 2016. This records a decrease from the previous number of 1.100 NA for 2010. MU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female data is updated yearly, averaging 1.050 NA from Dec 2010 to 2016, with 2 observations. The data reached an all-time high of 1.100 NA in 2010 and a record low of 1.000 NA in 2016. MU: 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 Mauritius – Table MU.World Bank.WDI: Health Statistics. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1.000 2016 | yearly | 2010 - 2016 |
View Mauritius's Mauritius MU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Female from 2010 to 2016 in the chart:
Mauritius MU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male
MU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data was reported at 6.300 NA in 2016. This records a decrease from the previous number of 6.600 NA for 2010. MU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male data is updated yearly, averaging 6.450 NA from Dec 2010 to 2016, with 2 observations. The data reached an all-time high of 6.600 NA in 2010 and a record low of 6.300 NA in 2016. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 6.300 2016 | yearly | 2010 - 2016 |
View Mauritius's Mauritius MU: Alcohol Consumption Rate: Projected Estimates: Aged 15+: Male from 2010 to 2016 in the chart:
Mauritius MU: Births Attended by Skilled Health Staff: % of Total
MU: Births Attended by Skilled Health Staff: % of Total data was reported at 99.800 % in 2016. This stayed constant from the previous number of 99.800 % for 2015. MU: Births Attended by Skilled Health Staff: % of Total data is updated yearly, averaging 98.850 % from Dec 1990 to 2016, with 20 observations. The data reached an all-time high of 99.800 % in 2016 and a record low of 91.100 % in 1990. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 99.80 2014 | yearly | 1990 - 2014 |
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Mauritius MU: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total
MU: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 6.500 % in 2016. This records a decrease from the previous number of 6.800 % for 2015. MU: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 7.250 % from Dec 2000 to 2016, with 4 observations. The data reached an all-time high of 7.900 % in 2010 and a record low of 6.500 % in 2016. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 6.50 2016 | yearly | 2000 - 2016 |
View Mauritius's Mauritius MU: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total from 2000 to 2016 in the chart:
Mauritius MU: Cause of Death: by Injury: % of Total
MU: Cause of Death: by Injury: % of Total data was reported at 4.800 % in 2016. This records a decrease from the previous number of 5.100 % for 2015. MU: Cause of Death: by Injury: % of Total data is updated yearly, averaging 5.550 % from Dec 2000 to 2016, with 4 observations. The data reached an all-time high of 6.200 % in 2010 and a record low of 4.800 % in 2016. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 4.80 2016 | yearly | 2000 - 2016 |
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Mauritius MU: Cause of Death: by Non-Communicable Diseases: % of Total
MU: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 88.700 % in 2016. This records an increase from the previous number of 88.000 % for 2015. MU: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 87.150 % from Dec 2000 to 2016, with 4 observations. The data reached an all-time high of 88.700 % in 2016 and a record low of 85.900 % in 2010. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 88.70 2016 | yearly | 2000 - 2016 |
View Mauritius's Mauritius MU: Cause of Death: by Non-Communicable Diseases: % of Total from 2000 to 2016 in the chart:
Mauritius MU: Completeness of Infant Death Reporting
MU: Completeness of Infant Death Reporting data was reported at 90.338 % in 2010. This records a decrease from the previous number of 97.619 % for 2009. MU: Completeness of Infant Death Reporting data is updated yearly, averaging 97.619 % from Dec 2007 to 2010, with 3 observations. The data reached an all-time high of 100.000 % in 2007 and a record low of 90.338 % in 2010. MU: Completeness of Infant Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank.WDI: Health Statistics. Completeness of infant death reporting is the number of infant deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of infant deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; ;
| Last | Frequency | Range |
|---|---|---|
| 90.34 2010 | yearly | 2007 - 2010 |
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Mauritius MU: Completeness of Total Death Reporting
MU: Completeness of Total Death Reporting data was reported at 100.000 % in 2010. This stayed constant from the previous number of 100.000 % for 2009. MU: Completeness of Total Death Reporting data is updated yearly, averaging 100.000 % from Dec 2007 to 2010, with 3 observations. The data reached an all-time high of 100.000 % in 2010 and a record low of 99.812 % in 2007. MU: Completeness of Total Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank.WDI: Health Statistics. Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 100.00 2010 | yearly | 2007 - 2010 |
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Mauritius MU: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49
MU: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 63.800 % in 2014. This records a decrease from the previous number of 75.800 % for 2002. MU: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 74.600 % from Dec 1975 to 2014, with 5 observations. The data reached an all-time high of 75.800 % in 2002 and a record low of 45.700 % in 1975. MU: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank.WDI: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for women ages 15-49 who are married or in union.; ; UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.; Weighted average; Contraceptive prevalence amongst women of reproductive age is an indicator of women's empowerment and is related to maternal health, HIV/AIDS, and gender equality.
| Last | Frequency | Range |
|---|---|---|
| 63.80 2014 | yearly | 1975 - 2014 |
View Mauritius's Mauritius MU: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 from 1975 to 2014 in the chart:
Mauritius MU: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49
MU: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data was reported at 32.000 % in 2014. This records a decrease from the previous number of 39.300 % for 2002. MU: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data is updated yearly, averaging 39.300 % from Dec 1975 to 2014, with 5 observations. The data reached an all-time high of 49.200 % in 1991 and a record low of 29.200 % in 1975. MU: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank.WDI: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, at least one modern method of contraception. It is usually measured for women ages 15-49 who are married or in union. Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.; ; Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 32.00 2014 | yearly | 1975 - 2014 |
View Mauritius's Mauritius MU: Contraceptive Prevalence: Modern Methods: % of Women Aged 15-49 from 1975 to 2014 in the chart:
Mauritius MU: Current Health Expenditure Per Capita: Current PPP
MU: 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. MU: Current Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.001 Intl $ mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. MU: 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 Mauritius – Table MU.World Bank.WDI: Health Statistics. Current expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
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Mauritius MU: Current Health Expenditure Per Capita: Current Price
MU: Current Health Expenditure Per Capita: Current Price data was reported at 0.001 USD mn in 2015. This records a decrease from the previous number of 0.001 USD mn for 2014. MU: Current Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.001 USD mn in 2014 and a record low of 0.000 USD mn in 2000. MU: 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 Mauritius – Table MU.World Bank: Health Statistics. Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
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Mauritius MU: Current Health Expenditure: % of GDP
MU: Current Health Expenditure: % of GDP data was reported at 5.537 % in 2015. This records an increase from the previous number of 5.368 % for 2014. MU: Current Health Expenditure: % of GDP data is updated yearly, averaging 3.976 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 5.537 % in 2015 and a record low of 3.024 % in 2000. MU: 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 Mauritius – Table MU.World Bank: Health Statistics. Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 5.54 2015 | yearly | 2000 - 2015 |
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Mauritius MU: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning
MU: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 41.900 % in 2014. This records a decrease from the previous number of 49.600 % for 2002. MU: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 49.600 % from Dec 1991 to 2014, with 3 observations. The data reached an all-time high of 60.700 % in 1991 and a record low of 41.900 % in 2014. MU: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank.WDI: Health Statistics. Demand for family planning satisfied by modern methods refers to the percentage of married women ages 15-49 years whose need for family planning is satisfied with modern methods.; ; Demographic and Health Surveys (DHS).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 41.90 2014 | yearly | 1991 - 2014 |
View Mauritius's Mauritius MU: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning from 1991 to 2014 in the chart:
Mauritius MU: Depth of the Food Deficit: Kilocalories per Person per Day
MU: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 35.000 kcal in 2016. This records a decrease from the previous number of 36.000 kcal for 2015. MU: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 43.000 kcal from Dec 1992 to 2016, with 25 observations. The data reached an all-time high of 57.000 kcal in 1992 and a record low of 35.000 kcal in 2016. MU: Depth of the Food Deficit: Kilocalories per Person per Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank.WDI: Health Statistics. The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.; ; Food and Agriculture Organization, Food Security Statistics.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 35.00 2016 | yearly | 1992 - 2016 |
View Mauritius's Mauritius MU: Depth of the Food Deficit: Kilocalories per Person per Day from 1992 to 2016 in the chart:
Mauritius MU: Diabetes Prevalence: % of Population Aged 20-79
MU: Diabetes Prevalence: % of Population Aged 20-79 data was reported at 22.020 % in 2017. MU: Diabetes Prevalence: % of Population Aged 20-79 data is updated yearly, averaging 22.020 % from Dec 2017 to 2017, with 1 observations. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 22.02 2017 | yearly | 2017 - 2017 |
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Mauritius MU: Domestic General Government Health Expenditure Per Capita: Current PPP
MU: 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 0.000 Intl $ mn for 2014. MU: Domestic General Government Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. MU: 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 Mauritius – Table MU.World Bank: Health Statistics. Public expenditure on health from domestic sources per capita expressed in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
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Mauritius MU: Domestic General Government Health Expenditure Per Capita: Current Price
MU: Domestic General Government Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. MU: Domestic General Government Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2000. MU: 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 Mauritius – Table MU.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 Mauritius's Mauritius MU: Domestic General Government Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Mauritius MU: Domestic General Government Health Expenditure: % of Current Health Expenditure
MU: Domestic General Government Health Expenditure: % of Current Health Expenditure data was reported at 45.805 % in 2015. This records a decrease from the previous number of 46.825 % for 2014. MU: Domestic General Government Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 45.343 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 54.363 % in 2004 and a record low of 35.189 % in 2008. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 45.81 2015 | yearly | 2000 - 2015 |
View Mauritius's Mauritius MU: Domestic General Government Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Mauritius MU: Domestic General Government Health Expenditure: % of GDP
MU: Domestic General Government Health Expenditure: % of GDP data was reported at 2.536 % in 2015. This records an increase from the previous number of 2.514 % for 2014. MU: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 1.780 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 2.536 % in 2015 and a record low of 1.456 % in 2008. MU: 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 Mauritius – Table MU.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of the economy as measured by GDP.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 2.54 2015 | yearly | 2000 - 2015 |
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Mauritius MU: Domestic General Government Health Expenditure: % of General Government Expenditure
MU: Domestic General Government Health Expenditure: % of General Government Expenditure data was reported at 9.949 % in 2015. This records a decrease from the previous number of 10.528 % for 2014. MU: Domestic General Government Health Expenditure: % of General Government Expenditure data is updated yearly, averaging 7.274 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 10.528 % in 2014 and a record low of 6.107 % in 2008. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 9.95 2015 | yearly | 2000 - 2015 |
View Mauritius's Mauritius MU: Domestic General Government Health Expenditure: % of General Government Expenditure from 2000 to 2015 in the chart:
Mauritius MU: Domestic Private Health Expenditure Per Capita: Current PPP
MU: Domestic Private 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. MU: Domestic Private Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. MU: 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 Mauritius – Table MU.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 Mauritius's Mauritius MU: Domestic Private Health Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Mauritius MU: Domestic Private Health Expenditure Per Capita: Current Price
MU: 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. MU: Domestic Private Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2001. MU: 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 Mauritius – Table MU.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 |
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Mauritius MU: Domestic Private Health Expenditure: % of Current Health Expenditure
MU: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 51.477 % in 2015. This records a decrease from the previous number of 52.743 % for 2014. MU: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 53.068 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 63.802 % in 2008 and a record low of 45.608 % in 2004. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 51.48 2015 | yearly | 2000 - 2015 |
View Mauritius's Mauritius MU: Domestic Private Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Mauritius MU: External Health Expenditure Per Capita: Current PPP
MU: External Health Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. MU: External Health Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2003 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 2004. MU: 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 Mauritius – Table MU.World Bank: Health Statistics. Current external expenditures on health per capita expressed in international dollars at purchasing power parity (PPP). External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2003 - 2015 |
View Mauritius's Mauritius MU: External Health Expenditure Per Capita: Current PPP from 2003 to 2015 in the chart:
Mauritius MU: External Health Expenditure Per Capita: Current Price
MU: External Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records an increase from the previous number of 0.000 USD mn for 2014. MU: External Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2003 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 2004. MU: 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 Mauritius – Table MU.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 Mauritius's Mauritius MU: External Health Expenditure Per Capita: Current Price from 2003 to 2015 in the chart:
Mauritius MU: External Health Expenditure: % of Current Health Expenditure
MU: External Health Expenditure: % of Current Health Expenditure data was reported at 2.718 % in 2015. This records an increase from the previous number of 0.432 % for 2014. MU: External Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 1.009 % from Dec 2003 to 2015, with 13 observations. The data reached an all-time high of 4.748 % in 2011 and a record low of 0.030 % in 2004. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 2.72 2015 | yearly | 2003 - 2015 |
View Mauritius's Mauritius MU: External Health Expenditure: % of Current Health Expenditure from 2003 to 2015 in the chart:
Mauritius MU: Fertility Rate: Total: Births per Woman
MU: Fertility Rate: Total: Births per Woman data was reported at 1.400 Ratio in 2016. This records an increase from the previous number of 1.360 Ratio for 2015. MU: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 2.230 Ratio from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 6.178 Ratio in 1961 and a record low of 1.360 Ratio in 2015. MU: 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 Mauritius – Table MU.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.
| Last | Frequency | Range |
|---|---|---|
| 1.40 2016 | yearly | 1960 - 2016 |
View Mauritius's Mauritius MU: Fertility Rate: Total: Births per Woman from 1960 to 2016 in the chart:
Mauritius MU: Hospital Beds: per 1000 People
MU: Hospital Beds: per 1000 People data was reported at 3.400 Number in 2011. This records an increase from the previous number of 3.300 Number for 2008. MU: Hospital Beds: per 1000 People data is updated yearly, averaging 3.217 Number from Dec 1960 to 2011, with 12 observations. The data reached an all-time high of 4.717 Number in 1960 and a record low of 2.887 Number in 1991. MU: 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 Mauritius – Table MU.World Bank.WDI: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.; ; Data are from the World Health Organization, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.40 2011 | yearly | 1960 - 2011 |
View Mauritius's Mauritius MU: Hospital Beds: per 1000 People from 1960 to 2011 in the chart:
Mauritius MU: Immunization: DPT: % of Children Aged 12-23 Months
MU: Immunization: DPT: % of Children Aged 12-23 Months data was reported at 94.000 % in 2017. This records a decrease from the previous number of 96.000 % for 2016. MU: Immunization: DPT: % of Children Aged 12-23 Months data is updated yearly, averaging 95.000 % from Dec 1990 to 2017, with 28 observations. The data reached an all-time high of 99.000 % in 2010 and a record low of 85.000 % in 1999. MU: 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 Mauritius – Table MU.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 | 1980 - 2016 |
View Mauritius's Mauritius MU: Immunization: DPT: % of Children Aged 12-23 Months from 1980 to 2016 in the chart:
Mauritius MU: Immunization: HepB3: % of One-Year-Old Children
MU: Immunization: HepB3: % of One-Year-Old Children data was reported at 72.000 % in 2016. This records a decrease from the previous number of 97.000 % for 2015. MU: Immunization: HepB3: % of One-Year-Old Children data is updated yearly, averaging 97.000 % from Dec 1997 to 2016, with 20 observations. The data reached an all-time high of 99.000 % in 2010 and a record low of 72.000 % in 2016. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 72.00 2016 | yearly | 1997 - 2016 |
View Mauritius's Mauritius MU: Immunization: HepB3: % of One-Year-Old Children from 1997 to 2016 in the chart:
Mauritius MU: Immunization: Measles: % of Children Aged 12-23 Months
MU: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 89.000 % in 2017. This records a decrease from the previous number of 92.000 % for 2016. MU: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 87.500 % from Dec 1982 to 2017, with 36 observations. The data reached an all-time high of 99.000 % in 2015 and a record low of 34.000 % in 1982. MU: 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 Mauritius – Table MU.World Bank.WDI: Health Statistics. Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.; ; WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 92.00 2016 | yearly | 1982 - 2016 |
View Mauritius's Mauritius MU: Immunization: Measles: % of Children Aged 12-23 Months from 1982 to 2016 in the chart:
Mauritius MU: Incidence of Tuberculosis: per 100,000 People
MU: Incidence of Tuberculosis: per 100,000 People data was reported at 22.000 Ratio in 2016. This stayed constant from the previous number of 22.000 Ratio for 2015. MU: Incidence of Tuberculosis: per 100,000 People data is updated yearly, averaging 22.000 Ratio from Dec 2000 to 2016, with 17 observations. The data reached an all-time high of 24.000 Ratio in 2003 and a record low of 21.000 Ratio in 2013. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 22.00 2016 | yearly | 2000 - 2016 |
View Mauritius's Mauritius MU: Incidence of Tuberculosis: per 100,000 People from 2000 to 2016 in the chart:
Mauritius MU: Intentional Homicides: Female: per 100,000 Female
MU: Intentional Homicides: Female: per 100,000 Female data was reported at 1.570 Ratio in 2016. This records an increase from the previous number of 0.944 Ratio for 2015. MU: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 1.737 Ratio from Dec 2000 to 2016, with 15 observations. The data reached an all-time high of 2.806 Ratio in 2008 and a record low of 0.944 Ratio in 2015. MU: 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 Mauritius – Table MU.World Bank.WDI: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;
| Last | Frequency | Range |
|---|---|---|
| 1.57 2016 | yearly | 2000 - 2016 |
View Mauritius's Mauritius MU: Intentional Homicides: Female: per 100,000 Female from 2000 to 2016 in the chart:
Mauritius MU: Intentional Homicides: Male: per 100,000 Male
MU: Intentional Homicides: Male: per 100,000 Male data was reported at 2.079 Ratio in 2016. This records a decrease from the previous number of 2.405 Ratio for 2015. MU: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 3.937 Ratio from Dec 2000 to 2016, with 15 observations. The data reached an all-time high of 6.128 Ratio in 2006 and a record low of 1.766 Ratio in 2014. MU: 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 Mauritius – Table MU.World Bank.WDI: 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 |
|---|---|---|
| 2.08 2016 | yearly | 2000 - 2016 |
View Mauritius's Mauritius MU: Intentional Homicides: Male: per 100,000 Male from 2000 to 2016 in the chart:
Mauritius MU: Intentional Homicides: per 100,000 People
MU: Intentional Homicides: per 100,000 People data was reported at 1.822 Ratio in 2016. This records an increase from the previous number of 1.667 Ratio for 2015. MU: Intentional Homicides: per 100,000 People data is updated yearly, averaging 2.681 Ratio from Dec 1995 to 2016, with 20 observations. The data reached an all-time high of 4.071 Ratio in 2006 and a record low of 1.511 Ratio in 2014. MU: 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 Mauritius – Table MU.World Bank.WDI: Health Statistics. Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.70 2011 | yearly | 1995 - 2011 |
View Mauritius's Mauritius MU: Intentional Homicides: per 100,000 People from 1995 to 2011 in the chart:
Mauritius MU: Life Expectancy at Birth: Female
MU: Life Expectancy at Birth: Female data was reported at 77.760 Year in 2016. This records a decrease from the previous number of 77.790 Year for 2015. MU: Life Expectancy at Birth: Female data is updated yearly, averaging 72.789 Year from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 77.790 Year in 2015 and a record low of 60.626 Year in 1960. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 77.76 2016 | yearly | 1960 - 2016 |
View Mauritius's Mauritius MU: Life Expectancy at Birth: Female from 1960 to 2016 in the chart:
Mauritius MU: Life Expectancy at Birth: Male
MU: Life Expectancy at Birth: Male data was reported at 71.190 Year in 2016. This records an increase from the previous number of 71.080 Year for 2015. MU: Life Expectancy at Birth: Male data is updated yearly, averaging 65.124 Year from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 71.190 Year in 2016 and a record low of 56.954 Year in 1960. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 71.19 2016 | yearly | 1960 - 2016 |
View Mauritius's Mauritius MU: Life Expectancy at Birth: Male from 1960 to 2016 in the chart:
Mauritius MU: Life Expectancy at Birth: Total
MU: Life Expectancy at Birth: Total data was reported at 74.395 Year in 2016. This records an increase from the previous number of 74.353 Year for 2015. MU: Life Expectancy at Birth: Total data is updated yearly, averaging 68.863 Year from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 74.395 Year in 2016 and a record low of 58.745 Year in 1960. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 74.39 2016 | yearly | 1960 - 2016 |
View Mauritius's Mauritius MU: Life Expectancy at Birth: Total from 1960 to 2016 in the chart:
Mauritius MU: Lifetime Risk Of Maternal Death
MU: Lifetime Risk Of Maternal Death data was reported at 0.078 % in 2015. This records a decrease from the previous number of 0.079 % for 2014. MU: Lifetime Risk Of Maternal Death data is updated yearly, averaging 0.082 % from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 0.209 % in 1990 and a record low of 0.070 % in 2002. MU: Lifetime Risk Of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank.WDI: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.08 2015 | yearly | 1990 - 2015 |
View Mauritius's Mauritius MU: Lifetime Risk Of Maternal Death from 1990 to 2015 in the chart:
Mauritius MU: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country
MU: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 1,300.000 NA in 2015. This stayed constant from the previous number of 1,300.000 NA for 2014. MU: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 1,200.000 NA from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 1,400.000 NA in 2005 and a record low of 480.000 NA in 1992. MU: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank.WDI: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 1,300.00 2015 | yearly | 1990 - 2015 |
View Mauritius's Mauritius MU: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country from 1990 to 2015 in the chart:
Mauritius MU: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births
MU: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 53.000 Ratio in 2015. This records a decrease from the previous number of 54.000 Ratio for 2014. MU: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 51.500 Ratio from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 82.000 Ratio in 1992 and a record low of 35.000 Ratio in 2002. MU: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank.WDI: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.
| Last | Frequency | Range |
|---|---|---|
| 53.00 2015 | yearly | 1990 - 2015 |
View Mauritius's Mauritius MU: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births from 1990 to 2015 in the chart:
Mauritius MU: Mortality Caused by Road Traffic Injury: per 100,000 People
MU: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 12.900 Number in 2015. This records an increase from the previous number of 12.500 Number for 2010. MU: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 12.700 Number from Dec 2000 to 2015, with 4 observations. The data reached an all-time high of 15.700 Number in 2000 and a record low of 10.300 Number in 2005. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 12.90 2015 | yearly | 2000 - 2015 |
View Mauritius's Mauritius MU: Mortality Caused by Road Traffic Injury: per 100,000 People from 2000 to 2015 in the chart:
Mauritius MU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female
MU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 28.000 NA in 2016. MU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 28.000 NA from Dec 2016 to 2016, with 1 observations. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 28.000 2016 | yearly | 2016 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female from 2016 to 2016 in the chart:
Mauritius MU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male
MU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 50.000 NA in 2016. MU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 50.000 NA from Dec 2016 to 2016, with 1 observations. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 50.000 2016 | yearly | 2016 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male from 2016 to 2016 in the chart:
Mauritius MU: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population
MU: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 38.300 Ratio in 2016. MU: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 38.300 Ratio from Dec 2016 to 2016, with 1 observations. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 38.30 2016 | yearly | 2016 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population from 2016 to 2016 in the chart:
Mauritius MU: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population
MU: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 0.100 Ratio in 2016. This stayed constant from the previous number of 0.100 Ratio for 2015. MU: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 0.100 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 0.200 Ratio in 2000 and a record low of 0.100 Ratio in 2016. MU: 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 Mauritius – Table MU.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.10 2016 | yearly | 2000 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population from 2000 to 2016 in the chart:
Mauritius MU: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population
MU: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 0.100 Ratio in 2016. This stayed constant from the previous number of 0.100 Ratio for 2015. MU: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 0.100 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 0.200 Ratio in 2000 and a record low of 0.100 Ratio in 2016. MU: 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 Mauritius – Table MU.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.10 2016 | yearly | 2000 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population from 2000 to 2016 in the chart:
Mauritius MU: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population
MU: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data was reported at 0.100 Ratio in 2016. This stayed constant from the previous number of 0.100 Ratio for 2015. MU: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population data is updated yearly, averaging 0.100 Ratio from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 0.200 Ratio in 2000 and a record low of 0.100 Ratio in 2016. MU: 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 Mauritius – Table MU.World Bank: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.10 2016 | yearly | 2000 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate Attributed to Unintentional Poisoning: per 100,000 Population from 2000 to 2016 in the chart:
Mauritius MU: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population
MU: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 0.600 Ratio in 2016. MU: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 0.600 Ratio from Dec 2016 to 2016, with 1 observations. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 0.60 2016 | yearly | 2016 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population from 2016 to 2016 in the chart:
Mauritius MU: Mortality Rate: Adult: Female: per 1000 Female Adults
MU: Mortality Rate: Adult: Female: per 1000 Female Adults data was reported at 92.725 Ratio in 2016. This records a decrease from the previous number of 93.740 Ratio for 2015. MU: Mortality Rate: Adult: Female: per 1000 Female Adults data is updated yearly, averaging 129.713 Ratio from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 259.167 Ratio in 1960 and a record low of 92.725 Ratio in 2016. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 92.72 2016 | yearly | 1960 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate: Adult: Female: per 1000 Female Adults from 1960 to 2016 in the chart:
Mauritius MU: Mortality Rate: Adult: Male: per 1000 Male Adults
MU: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 190.179 Ratio in 2016. This records a decrease from the previous number of 192.135 Ratio for 2015. MU: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 262.225 Ratio from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 347.093 Ratio in 1960 and a record low of 190.179 Ratio in 2016. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 190.18 2016 | yearly | 1960 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate: Adult: Male: per 1000 Male Adults from 1960 to 2016 in the chart:
Mauritius MU: Mortality Rate: Infant: Female: per 1000 Live Births
MU: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 10.300 Ratio in 2017. This records a decrease from the previous number of 11.300 Ratio for 2015. MU: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 11.700 Ratio from Dec 1990 to 2017, with 5 observations. The data reached an all-time high of 17.000 Ratio in 1990 and a record low of 10.300 Ratio in 2017. MU: 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 Mauritius – Table MU.World Bank.WDI: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 10.90 2016 | yearly | 1990 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate: Infant: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Mauritius MU: Mortality Rate: Infant: Male: per 1000 Live Births
MU: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 12.900 Ratio in 2017. This records a decrease from the previous number of 14.100 Ratio for 2015. MU: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 14.700 Ratio from Dec 1990 to 2017, with 5 observations. The data reached an all-time high of 22.400 Ratio in 1990 and a record low of 12.900 Ratio in 2017. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 13.50 2016 | yearly | 1990 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate: Infant: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Mauritius MU: Mortality Rate: Infant: per 1000 Live Births
MU: Mortality Rate: Infant: per 1000 Live Births data was reported at 12.200 Ratio in 2016. This records a decrease from the previous number of 12.700 Ratio for 2015. MU: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 23.300 Ratio from Dec 1960 to 2016, with 57 observations. The data reached an all-time high of 69.900 Ratio in 1967 and a record low of 12.200 Ratio in 2016. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 12.20 2016 | yearly | 1960 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate: Infant: per 1000 Live Births from 1960 to 2016 in the chart:
Mauritius MU: Mortality Rate: Neonatal: per 1000 Live Births
MU: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 8.400 Ratio in 2016. This records a decrease from the previous number of 8.800 Ratio for 2015. MU: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 14.900 Ratio from Dec 1969 to 2016, with 48 observations. The data reached an all-time high of 30.100 Ratio in 1971 and a record low of 8.400 Ratio in 2016. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 8.40 2016 | yearly | 1969 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate: Neonatal: per 1000 Live Births from 1969 to 2016 in the chart:
Mauritius MU: Mortality Rate: Under-5: Female: per 1000 Live Births
MU: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 12.300 Ratio in 2016. This records a decrease from the previous number of 12.900 Ratio for 2015. MU: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 13.400 Ratio from Dec 1990 to 2016, with 5 observations. The data reached an all-time high of 20.000 Ratio in 1990 and a record low of 12.300 Ratio in 2016. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 12.30 2016 | yearly | 1990 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate: Under-5: Female: per 1000 Live Births from 1990 to 2016 in the chart:
Mauritius MU: Mortality Rate: Under-5: Male: per 1000 Live Births
MU: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 14.400 Ratio in 2017. This records a decrease from the previous number of 15.800 Ratio for 2015. MU: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 16.600 Ratio from Dec 1990 to 2017, with 5 observations. The data reached an all-time high of 25.700 Ratio in 1990 and a record low of 14.400 Ratio in 2017. MU: 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 Mauritius – Table MU.World Bank.WDI: Health Statistics. Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 15.10 2016 | yearly | 1990 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate: Under-5: Male: per 1000 Live Births from 1990 to 2016 in the chart:
Mauritius MU: Mortality Rate: Under-5: per 1000 Live Births
MU: Mortality Rate: Under-5: per 1000 Live Births data was reported at 13.100 Ratio in 2017. This records a decrease from the previous number of 13.800 Ratio for 2016. MU: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 26.200 Ratio from Dec 1960 to 2017, with 58 observations. The data reached an all-time high of 103.000 Ratio in 1960 and a record low of 13.100 Ratio in 2017. MU: 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 Mauritius – Table MU.World Bank.WDI: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
| Last | Frequency | Range |
|---|---|---|
| 13.70 2016 | yearly | 1960 - 2016 |
View Mauritius's Mauritius MU: Mortality Rate: Under-5: per 1000 Live Births from 1960 to 2016 in the chart:
Mauritius MU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70
MU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 22.600 % in 2016. This records a decrease from the previous number of 22.800 % for 2015. MU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 24.100 % from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 29.700 % in 2000 and a record low of 22.600 % in 2016. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 22.60 2016 | yearly | 2000 - 2016 |
View Mauritius's Mauritius MU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 from 2000 to 2016 in the chart:
Mauritius MU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female
MU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 17.500 NA in 2016. This records an increase from the previous number of 17.200 NA for 2015. MU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 18.400 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 23.300 NA in 2000 and a record low of 17.200 NA in 2015. MU: 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 Mauritius – Table MU.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 17.500 2016 | yearly | 2000 - 2016 |
View Mauritius's Mauritius MU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female from 2000 to 2016 in the chart:
Mauritius MU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male
MU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 27.800 NA in 2016. This records a decrease from the previous number of 28.400 NA for 2015. MU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 30.000 NA from Dec 2000 to 2016, with 5 observations. The data reached an all-time high of 36.300 NA in 2000 and a record low of 27.800 NA in 2016. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 27.800 2016 | yearly | 2000 - 2016 |
View Mauritius's Mauritius MU: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male from 2000 to 2016 in the chart:
Mauritius MU: Newborns Protected Against Tetanus
MU: Newborns Protected Against Tetanus data was reported at 95.000 % in 2016. This stayed constant from the previous number of 95.000 % for 2015. MU: Newborns Protected Against Tetanus data is updated yearly, averaging 79.000 % from Dec 1982 to 2016, with 35 observations. The data reached an all-time high of 95.000 % in 2016 and a record low of 18.000 % in 1985. MU: Newborns Protected Against Tetanus data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.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 |
|---|---|---|
| 95.00 2016 | yearly | 1982 - 2016 |
View Mauritius's Mauritius MU: Newborns Protected Against Tetanus from 1982 to 2016 in the chart:
Mauritius MU: Number of Death: Infant
MU: Number of Death: Infant data was reported at 155.000 Person in 2017. This records a decrease from the previous number of 164.000 Person for 2016. MU: Number of Death: Infant data is updated yearly, averaging 475.000 Person from Dec 1960 to 2017, with 58 observations. The data reached an all-time high of 1,954.000 Person in 1960 and a record low of 155.000 Person in 2017. MU: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank.WDI: Health Statistics. Number of infants dying before reaching one year of age.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 164.00 2016 | yearly | 1960 - 2016 |
View Mauritius's Mauritius MU: Number of Death: Infant from 1960 to 2016 in the chart:
Mauritius MU: Number of Death: Neonatal
MU: Number of Death: Neonatal data was reported at 105.000 Person in 2017. This records a decrease from the previous number of 113.000 Person for 2016. MU: Number of Death: Neonatal data is updated yearly, averaging 320.500 Person from Dec 1970 to 2017, with 48 observations. The data reached an all-time high of 715.000 Person in 1970 and a record low of 105.000 Person in 2017. MU: Number of Death: Neonatal data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.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 |
|---|---|---|
| 113.00 2016 | yearly | 1970 - 2016 |
View Mauritius's Mauritius MU: Number of Death: Neonatal from 1970 to 2016 in the chart:
Mauritius MU: Number of Death: Under-5
MU: Number of Death: Under-5 data was reported at 175.000 Person in 2017. This records a decrease from the previous number of 185.000 Person for 2016. MU: Number of Death: Under-5 data is updated yearly, averaging 543.000 Person from Dec 1961 to 2017, with 57 observations. The data reached an all-time high of 2,824.000 Person in 1961 and a record low of 175.000 Person in 2017. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 185.00 2016 | yearly | 1961 - 2016 |
View Mauritius's Mauritius MU: Number of Death: Under-5 from 1961 to 2016 in the chart:
Mauritius MU: Number of Deaths Ages 10-14 Years
MU: Number of Deaths Ages 10-14 Years data was reported at 16.000 Person in 2019. This records a decrease from the previous number of 17.000 Person for 2018. MU: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 29.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 40.000 Person in 1990 and a record low of 16.000 Person in 2019. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 16.000 2019 | yearly | 1990 - 2019 |
View Mauritius's Mauritius MU: Number of Deaths Ages 10-14 Years from 1990 to 2019 in the chart:
Mauritius MU: Number of Deaths Ages 15-19 Years
MU: Number of Deaths Ages 15-19 Years data was reported at 58.000 Person in 2019. This records an increase from the previous number of 57.000 Person for 2018. MU: Number of Deaths Ages 15-19 Years data is updated yearly, averaging 57.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 80.000 Person in 1990 and a record low of 52.000 Person in 2005. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 58.000 2019 | yearly | 1990 - 2019 |
View Mauritius's Mauritius MU: Number of Deaths Ages 15-19 Years from 1990 to 2019 in the chart:
Mauritius MU: Number of Deaths Ages 20-24 Years
MU: Number of Deaths Ages 20-24 Years data was reported at 95.000 Person in 2019. This stayed constant from the previous number of 95.000 Person for 2018. MU: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 94.000 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 112.000 Person in 1992 and a record low of 77.000 Person in 2007. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 95.000 2019 | yearly | 1990 - 2019 |
View Mauritius's Mauritius MU: Number of Deaths Ages 20-24 Years from 1990 to 2019 in the chart:
Mauritius MU: Number of Deaths Ages 5-14 Years
MU: Number of Deaths Ages 5-14 Years data was reported at 30.000 Person in 2017. This records a decrease from the previous number of 33.000 Person for 2015. MU: Number of Deaths Ages 5-14 Years data is updated yearly, averaging 42.000 Person from Dec 1990 to 2017, with 5 observations. The data reached an all-time high of 77.000 Person in 1990 and a record low of 30.000 Person in 2017. MU: 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 Mauritius – Table MU.World Bank.WDI: Health Statistics. Number of deaths of children ages 5-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 31.00 2016 | yearly | 1990 - 2016 |
View Mauritius's Mauritius MU: Number of Deaths Ages 5-14 Years from 1990 to 2016 in the chart:
Mauritius MU: Number of Deaths Ages 5-9 Years
MU: Number of Deaths Ages 5-9 Years data was reported at 12.000 Person in 2019. This stayed constant from the previous number of 12.000 Person for 2018. MU: Number of Deaths Ages 5-9 Years data is updated yearly, averaging 23.500 Person from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 32.000 Person in 1990 and a record low of 12.000 Person in 2019. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 12.000 2019 | yearly | 1990 - 2019 |
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Mauritius MU: Number of Maternal Death
MU: Number of Maternal Death data was reported at 7.000 Person in 2015. This records a decrease from the previous number of 8.000 Person for 2014. MU: Number of Maternal Death data is updated yearly, averaging 8.000 Person from Dec 1990 to 2015, with 26 observations. The data reached an all-time high of 18.000 Person in 1992 and a record low of 7.000 Person in 2015. MU: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank.WDI: Health Statistics. A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Sum;
| Last | Frequency | Range |
|---|---|---|
| 7.00 2015 | yearly | 1990 - 2015 |
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Mauritius MU: Nurses and Midwives: per 1000 People
MU: Nurses and Midwives: per 1000 People data was reported at 3.347 Ratio in 2015. This records an increase from the previous number of 3.252 Ratio for 2014. MU: Nurses and Midwives: per 1000 People data is updated yearly, averaging 2.950 Ratio from Dec 2004 to 2015, with 10 observations. The data reached an all-time high of 3.787 Ratio in 2004 and a record low of 2.676 Ratio in 2007. MU: 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 Mauritius – Table MU.World Bank.WDI: Health Statistics. Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.35 2015 | yearly | 2004 - 2015 |
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Mauritius MU: Out-of-Pocket Health Expenditure Per Capita: Current Price
MU: Out-of-Pocket Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. MU: Out-of-Pocket Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2001. MU: 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 Mauritius – Table MU.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 Mauritius's Mauritius MU: Out-of-Pocket Health Expenditure Per Capita: Current Price from 2000 to 2015 in the chart:
Mauritius MU: Out-of-Pocket Health Expenditure: % of Current Health Expenditure
MU: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 50.667 % in 2015. This records a decrease from the previous number of 52.131 % for 2014. MU: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 51.872 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 61.842 % in 2008 and a record low of 43.423 % in 2004. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 50.67 2015 | yearly | 2000 - 2015 |
View Mauritius's Mauritius MU: Out-of-Pocket Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Mauritius MU: Out-of-Pocket Helath Expenditure Per Capita: Current PPP
MU: Out-of-Pocket Helath 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. MU: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.001 Intl $ mn in 2015 and a record low of 0.000 Intl $ mn in 2000. MU: 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 Mauritius – Table MU.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 Mauritius's Mauritius MU: Out-of-Pocket Helath Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Mauritius MU: People Practicing Open Defecation: % of Population
MU: People Practicing Open Defecation: % of Population data was reported at 0.142 % in 2015. This records an increase from the previous number of 0.142 % for 2014. MU: People Practicing Open Defecation: % of Population data is updated yearly, averaging 0.117 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.142 % in 2015 and a record low of 0.086 % in 2000. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 0.14 2015 | yearly | 2000 - 2015 |
View Mauritius's Mauritius MU: People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
Mauritius MU: People Practicing Open Defecation: Rural: % of Rural Population
MU: People Practicing Open Defecation: Rural: % of Rural Population data was reported at 0.221 % in 2015. This stayed constant from the previous number of 0.221 % for 2014. MU: People Practicing Open Defecation: Rural: % of Rural Population data is updated yearly, averaging 0.172 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.221 % in 2015 and a record low of 0.104 % in 2000. MU: People Practicing Open Defecation: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.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 |
|---|---|---|
| 0.22 2015 | yearly | 2000 - 2015 |
View Mauritius's Mauritius MU: People Practicing Open Defecation: Rural: % of Rural Population from 2000 to 2015 in the chart:
Mauritius MU: People Practicing Open Defecation: Urban: % of Urban Population
MU: People Practicing Open Defecation: Urban: % of Urban Population data was reported at 0.023 % in 2015. This stayed constant from the previous number of 0.023 % for 2014. MU: People Practicing Open Defecation: Urban: % of Urban Population data is updated yearly, averaging 0.039 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 0.062 % in 2000 and a record low of 0.023 % in 2015. MU: People Practicing Open Defecation: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.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 |
|---|---|---|
| 0.02 2015 | yearly | 2000 - 2015 |
View Mauritius's Mauritius MU: People Practicing Open Defecation: Urban: % of Urban Population from 2000 to 2015 in the chart:
Mauritius MU: People Using At Least Basic Drinking Water Services: % of Population
MU: People Using At Least Basic Drinking Water Services: % of Population data was reported at 99.865 % in 2015. This records a decrease from the previous number of 99.865 % for 2014. MU: People Using At Least Basic Drinking Water Services: % of Population data is updated yearly, averaging 99.613 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 99.866 % in 2013 and a record low of 99.280 % in 2000. MU: 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 Mauritius – Table MU.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 99.87 2015 | yearly | 2000 - 2015 |
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Mauritius MU: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population
MU: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data was reported at 99.828 % in 2015. This stayed constant from the previous number of 99.828 % for 2014. MU: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data is updated yearly, averaging 99.447 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 99.828 % in 2015 and a record low of 98.928 % in 2000. MU: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 99.83 2015 | yearly | 2000 - 2015 |
View Mauritius's Mauritius MU: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Mauritius MU: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population
MU: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data was reported at 99.922 % in 2015. This stayed constant from the previous number of 99.922 % for 2014. MU: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data is updated yearly, averaging 99.850 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 99.922 % in 2015 and a record low of 99.752 % in 2000. MU: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 99.92 2015 | yearly | 2000 - 2015 |
View Mauritius's Mauritius MU: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Mauritius MU: People Using At Least Basic Sanitation Services: % of Population
MU: People Using At Least Basic Sanitation Services: % of Population data was reported at 93.149 % in 2015. This records a decrease from the previous number of 93.151 % for 2014. MU: People Using At Least Basic Sanitation Services: % of Population data is updated yearly, averaging 92.378 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 93.153 % in 2013 and a record low of 91.357 % in 2000. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 93.15 2015 | yearly | 2000 - 2015 |
View Mauritius's Mauritius MU: People Using At Least Basic Sanitation Services: % of Population from 2000 to 2015 in the chart:
Mauritius MU: People Using At Least Basic Sanitation Services: Rural: % of Rural Population
MU: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data was reported at 92.635 % in 2015. This stayed constant from the previous number of 92.635 % for 2014. MU: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data is updated yearly, averaging 91.455 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 92.635 % in 2015 and a record low of 89.846 % in 2000. MU: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 92.63 2015 | yearly | 2000 - 2015 |
View Mauritius's Mauritius MU: People Using At Least Basic Sanitation Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Mauritius MU: People Using At Least Basic Sanitation Services: Urban: % of Urban Population
MU: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data was reported at 93.931 % in 2015. This stayed constant from the previous number of 93.931 % for 2014. MU: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 93.701 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 93.931 % in 2015 and a record low of 93.388 % in 2000. MU: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.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 |
|---|---|---|
| 93.93 2015 | yearly | 2000 - 2015 |
View Mauritius's Mauritius MU: People Using At Least Basic Sanitation Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Mauritius MU: Physicians: per 1000 People
MU: Physicians: per 1000 People data was reported at 2.003 Ratio in 2015. This records an increase from the previous number of 1.915 Ratio for 2014. MU: Physicians: per 1000 People data is updated yearly, averaging 0.849 Ratio from Dec 1960 to 2015, with 24 observations. The data reached an all-time high of 2.003 Ratio in 2015 and a record low of 0.215 Ratio in 1960. MU: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.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 |
|---|---|---|
| 2.00 2015 | yearly | 1960 - 2015 |
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Mauritius MU: Prevalence of Anemia among Children: % of Children Under 5
MU: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 39.100 % in 2016. This stayed constant from the previous number of 39.100 % for 2015. MU: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 46.900 % from Dec 1990 to 2016, with 27 observations. The data reached an all-time high of 65.000 % in 1990 and a record low of 39.100 % in 2016. MU: 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 Mauritius – Table MU.World Bank.WDI: Health Statistics. Prevalence of anemia, children under age 5, is the percentage of children under age 5 whose hemoglobin level is less than 110 grams per liter at sea level.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average; Anemia is defined as a low blood haemoglobin concentration. Anaemia may result from a number of causes, with the most significant contributor being iron deficiency. Anaemia resulting from iron deficiency adversely affects cognitive and motor development and causes fatigue and low productivity. Children under age 5 and pregnant women have the highest risk for anemia.
| Last | Frequency | Range |
|---|---|---|
| 39.10 2016 | yearly | 1990 - 2016 |
View Mauritius's Mauritius MU: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Mauritius MU: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49
MU: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data was reported at 25.000 % in 2016. This records an increase from the previous number of 24.000 % for 2015. MU: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data is updated yearly, averaging 19.200 % from Dec 1990 to 2016, with 27 observations. The data reached an all-time high of 25.000 % in 2016 and a record low of 17.500 % in 2000. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 25.00 2016 | yearly | 1990 - 2016 |
View Mauritius's Mauritius MU: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Mauritius MU: Prevalence of Anemia among Pregnant Women: %
MU: Prevalence of Anemia among Pregnant Women: % data was reported at 29.300 % in 2016. This records an increase from the previous number of 29.100 % for 2015. MU: Prevalence of Anemia among Pregnant Women: % data is updated yearly, averaging 34.700 % from Dec 1990 to 2016, with 27 observations. The data reached an all-time high of 42.300 % in 1990 and a record low of 29.000 % in 2014. MU: 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 Mauritius – Table MU.World Bank.WDI: Health Statistics. Prevalence of anemia, pregnant women, is the percentage of pregnant women whose hemoglobin level is less than 110 grams per liter at sea level.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 29.30 2016 | yearly | 1990 - 2016 |
View Mauritius's Mauritius MU: Prevalence of Anemia among Pregnant Women: % from 1990 to 2016 in the chart:
Mauritius MU: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49
MU: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 25.100 % in 2016. This records an increase from the previous number of 24.100 % for 2015. MU: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 19.800 % from Dec 1990 to 2016, with 27 observations. The data reached an all-time high of 25.100 % in 2016 and a record low of 18.200 % in 2000. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 25.10 2016 | yearly | 1990 - 2016 |
View Mauritius's Mauritius MU: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Mauritius MU: Prevalence of Undernourishment: % of Population
MU: Prevalence of Undernourishment: % of Population data was reported at 5.200 % in 2015. This stayed constant from the previous number of 5.200 % for 2014. MU: Prevalence of Undernourishment: % of Population data is updated yearly, averaging 5.200 % from Dec 2000 to 2015, with 16 observations. The data reached an all-time high of 6.600 % in 2000 and a record low of 4.700 % in 2009. MU: Prevalence of Undernourishment: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritius – Table MU.World Bank: Health Statistics. Population below minimum level of dietary energy consumption (also referred to as prevalence of undernourishment) shows the percentage of the population whose food intake is insufficient to meet dietary energy requirements continuously. Data showing as 5 may signify a prevalence of undernourishment below 5%.; ; Food and Agriculture Organization (http://www.fao.org/publications/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.20 2015 | yearly | 2000 - 2015 |
View Mauritius's Mauritius MU: Prevalence of Undernourishment: % of Population from 2000 to 2015 in the chart:
Mauritius MU: Probability of Dying at Age 10-14 Years: per 1000
MU: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 1.000 Ratio in 2019. This stayed constant from the previous number of 1.000 Ratio for 2018. MU: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 1.350 Ratio from Dec 1990 to 2019, with 30 observations. The data reached an all-time high of 1.900 Ratio in 1991 and a record low of 1.000 Ratio in 2019. MU: 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 Mauritius – Table MU.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 |
|---|---|---|
| 1.000 2019 | yearly | 1990 - 2019 |