Mauritius Social: Health Statistics
MU: Incidence of HIV: per 1,000 Uninfected Population
MU: Incidence of HIV: per 1,000 Uninfected Population data was reported at 0.540 Ratio in 2021. This records an increase from the previous number of 0.530 Ratio for 2020. MU: Incidence of HIV: per 1,000 Uninfected Population data is updated yearly, averaging 0.785 Ratio from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 1.210 Ratio in 2001 and a record low of 0.010 Ratio in 1990. MU: Incidence of HIV: per 1,000 Uninfected 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.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations expressed per 1,000 uninfected population in the year before the period.;UNAIDS estimates.;Weighted average;This is the Sustainable Development Goal indicator 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 0.540 2021 | yearly | 1990 - 2021 |
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MU: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24
MU: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data was reported at 0.660 Ratio in 2021. This records an increase from the previous number of 0.640 Ratio for 2020. MU: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data is updated yearly, averaging 0.960 Ratio from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 1.390 Ratio in 2001 and a record low of 0.010 Ratio in 1990. MU: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 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: Social: Health Statistics. Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period.;UNAIDS estimates.;Weighted average;This is an age-disaggregated indicator for Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 0.660 2021 | yearly | 1990 - 2021 |
View Mauritius's MU: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 from 1990 to 2021 in the chart:
MU: Newly Infected with HIV: Adults: Aged 15-24
MU: Newly Infected with HIV: Adults: Aged 15-24 data was reported at 200.000 Number in 2021. This stayed constant from the previous number of 200.000 Number for 2020. MU: Newly Infected with HIV: Adults: Aged 15-24 data is updated yearly, averaging 200.000 Number from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 500.000 Number in 2013 and a record low of 100.000 Number in 1996. MU: Newly Infected with HIV: Adults: Aged 15-24 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: Social: Health Statistics. Number of young people (ages 15-24) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 200.000 2021 | yearly | 1990 - 2021 |
View Mauritius's MU: Newly Infected with HIV: Adults: Aged 15-24 from 1990 to 2021 in the chart:
MU: Newly Infected with HIV: Adults: Aged 15-49
MU: Newly Infected with HIV: Adults: Aged 15-49 data was reported at 1,000.000 Number in 2021. This stayed constant from the previous number of 1,000.000 Number for 2020. MU: Newly Infected with HIV: Adults: Aged 15-49 data is updated yearly, averaging 1,000.000 Number from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 1,300.000 Number in 2002 and a record low of 100.000 Number in 1993. MU: Newly Infected with HIV: Adults: 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: Social: Health Statistics. Number of adults (ages 15-49) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 1,000.000 2021 | yearly | 1990 - 2021 |
View Mauritius's MU: Newly Infected with HIV: Adults: Aged 15-49 from 1990 to 2021 in the chart:
MU: Prevalence of Anemia among Children: % of Children Aged 6-59 Months
MU: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data was reported at 30.700 % in 2019. This records an increase from the previous number of 29.600 % for 2018. MU: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data is updated yearly, averaging 27.750 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 30.700 % in 2019 and a record low of 26.500 % in 2011. MU: Prevalence of Anemia among Children: % of Children Aged 6-59 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: Social: Health Statistics. Prevalence of anemia, children ages 6-59 months, is the percentage of children ages 6-59 months whose hemoglobin level is less than 110 grams per liter, adjusted for altitude.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics.;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 |
|---|---|---|
| 30.700 2019 | yearly | 2000 - 2019 |
View Mauritius's MU: Prevalence of Anemia among Children: % of Children Aged 6-59 Months from 2000 to 2019 in the chart:
MU: Prevalence of Current Tobacco Use: % of Adults
MU: Prevalence of Current Tobacco Use: % of Adults data was reported at 20.200 % in 2020. This records a decrease from the previous number of 20.500 % for 2019. MU: Prevalence of Current Tobacco Use: % of Adults data is updated yearly, averaging 21.400 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 25.500 % in 2000 and a record low of 20.200 % in 2020. MU: Prevalence of Current Tobacco Use: % of 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: Social: Health Statistics. The percentage of the population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, total (ages 15+) The previous indicator excluded smokeless tobacco use, while the current indicator includes. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 20.200 2020 | yearly | 2000 - 2020 |
View Mauritius's MU: Prevalence of Current Tobacco Use: % of Adults from 2000 to 2020 in the chart:
MU: Prevalence of Current Tobacco Use: Females: % of Female Adults
MU: Prevalence of Current Tobacco Use: Females: % of Female Adults data was reported at 3.000 % in 2020. This records a decrease from the previous number of 3.100 % for 2019. MU: Prevalence of Current Tobacco Use: Females: % of Female Adults data is updated yearly, averaging 3.400 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 4.800 % in 2000 and a record low of 3.000 % in 2020. MU: Prevalence of Current Tobacco Use: Females: % of 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.WDI: Social: Health Statistics. The percentage of the female population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, females (% of adults) The previous indicator excluded smokeless tobacco use, while the current indicator includes it. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 3.000 2020 | yearly | 2000 - 2020 |
View Mauritius's MU: Prevalence of Current Tobacco Use: Females: % of Female Adults from 2000 to 2020 in the chart:
MU: Prevalence of Current Tobacco Use: Males: % of Male Adults
MU: Prevalence of Current Tobacco Use: Males: % of Male Adults data was reported at 37.300 % in 2020. This records a decrease from the previous number of 37.900 % for 2019. MU: Prevalence of Current Tobacco Use: Males: % of Male Adults data is updated yearly, averaging 39.400 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 46.100 % in 2000 and a record low of 37.300 % in 2020. MU: Prevalence of Current Tobacco Use: Males: % of 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: Social: Health Statistics. The percentage of the male population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, males (% of adults) The previous indicator excluded smokeless tobacco use, while the current indicator includes it. The indicator name and definition were updated in December, 2020.
| Last | Frequency | Range |
|---|---|---|
| 37.300 2020 | yearly | 2000 - 2020 |
View Mauritius's MU: Prevalence of Current Tobacco Use: Males: % of Male Adults from 2000 to 2020 in the chart:
MU: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population
MU: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data was reported at 32.000 % in 2021. This records an increase from the previous number of 28.200 % for 2020. MU: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 20.700 % from Dec 2015 (Median) to 2021, with 7 observations. The data reached an all-time high of 32.000 % in 2021 and a record low of 13.000 % in 2015. MU: Prevalence of Moderate or Severe Food Insecurity in the Population: % 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.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as moderately or severely food insecure. A household is classified as moderately or severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to low quality diets and might have been forced to also reduce the quantity of food they would normally eat because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;
| Last | Frequency | Range |
|---|---|---|
| 32.000 2021 | yearly | 2015 - 2021 |
View Mauritius's MU: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population from 2015 to 2021 in the chart:
MU: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate
MU: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 6.800 % in 2022. This stayed constant from the previous number of 6.800 % for 2021. MU: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 8.000 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 10.400 % in 2004 and a record low of 6.800 % in 2022. MU: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate 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: Social: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.
| Last | Frequency | Range |
|---|---|---|
| 6.800 2022 | yearly | 2000 - 2022 |
View Mauritius's MU: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate from 2000 to 2022 in the chart:
MU: Prevalence of Severe Food Insecurity in the Population: % of population
MU: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 10.200 % in 2022. This records a decrease from the previous number of 10.500 % for 2021. MU: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 7.550 % from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 10.500 % in 2021 and a record low of 5.200 % in 2015. MU: Prevalence of Severe Food Insecurity in the Population: % 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.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;
| Last | Frequency | Range |
|---|---|---|
| 10.200 2022 | yearly | 2015 - 2022 |
View Mauritius's MU: Prevalence of Severe Food Insecurity in the Population: % of population from 2015 to 2022 in the chart:
MU: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate
MU: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 8.600 % in 2022. This records a decrease from the previous number of 8.700 % for 2021. MU: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 9.200 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 12.600 % in 2000 and a record low of 8.600 % in 2022. MU: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate 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: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.
| Last | Frequency | Range |
|---|---|---|
| 8.600 2022 | yearly | 2000 - 2022 |