Mauritania Social: Health Statistics
MR: Incidence of HIV: per 1,000 Uninfected Population
MR: Incidence of HIV: per 1,000 Uninfected Population data was reported at 0.130 Ratio in 2021. This records an increase from the previous number of 0.120 Ratio for 2020. MR: Incidence of HIV: per 1,000 Uninfected Population data is updated yearly, averaging 0.275 Ratio from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 0.480 Ratio in 2000 and a record low of 0.120 Ratio in 2020. MR: 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 Mauritania – Table MR.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 |
|---|---|---|
| 0.130 2021 | yearly | 1990 - 2021 |
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MR: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24
MR: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data was reported at 0.090 Ratio in 2021. This records an increase from the previous number of 0.080 Ratio for 2020. MR: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data is updated yearly, averaging 0.220 Ratio from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 0.390 Ratio in 1999 and a record low of 0.080 Ratio in 2020. MR: 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 Mauritania – Table MR.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 |
|---|---|---|
| 0.090 2021 | yearly | 1990 - 2021 |
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MR: Newly Infected with HIV: Adults: Aged 15-24
MR: Newly Infected with HIV: Adults: Aged 15-24 data was reported at 100.000 Number in 2021. This stayed constant from the previous number of 100.000 Number for 2020. MR: 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 200.000 Number in 2019 and a record low of 100.000 Number in 2021. MR: 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 Mauritania – Table MR.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 |
|---|---|---|
| 100.000 2021 | yearly | 1990 - 2021 |
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MR: Newly Infected with HIV: Adults: Aged 15-49
MR: Newly Infected with HIV: Adults: Aged 15-49 data was reported at 500.000 Number in 2021. This stayed constant from the previous number of 500.000 Number for 2020. MR: 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 1,000.000 Number in 2019 and a record low of 500.000 Number in 2021. MR: 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 Mauritania – Table MR.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 |
|---|---|---|
| 500.000 2021 | yearly | 1990 - 2021 |
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MR: Prevalence of Current Tobacco Use: % of Adults
MR: Prevalence of Current Tobacco Use: % of Adults data was reported at 10.700 % in 2020. This records a decrease from the previous number of 11.100 % for 2019. MR: Prevalence of Current Tobacco Use: % of Adults data is updated yearly, averaging 12.600 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 21.300 % in 2000 and a record low of 10.700 % in 2020. MR: 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 Mauritania – Table MR.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 |
|---|---|---|
| 10.700 2020 | yearly | 2000 - 2020 |
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MR: Prevalence of Current Tobacco Use: Females: % of Female Adults
MR: Prevalence of Current Tobacco Use: Females: % of Female Adults data was reported at 2.100 % in 2020. This records a decrease from the previous number of 2.200 % for 2019. MR: Prevalence of Current Tobacco Use: Females: % of Female Adults data is updated yearly, averaging 2.800 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 6.900 % in 2000 and a record low of 2.100 % in 2020. MR: 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 Mauritania – Table MR.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 |
|---|---|---|
| 2.100 2020 | yearly | 2000 - 2020 |
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MR: Prevalence of Current Tobacco Use: Males: % of Male Adults
MR: Prevalence of Current Tobacco Use: Males: % of Male Adults data was reported at 19.300 % in 2020. This records a decrease from the previous number of 19.900 % for 2019. MR: Prevalence of Current Tobacco Use: Males: % of Male Adults data is updated yearly, averaging 22.400 % from Dec 2000 (Median) to 2020, with 7 observations. The data reached an all-time high of 35.600 % in 2000 and a record low of 19.300 % in 2020. MR: 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 Mauritania – Table MR.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 |
|---|---|---|
| 19.300 2020 | yearly | 2000 - 2020 |
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MR: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate
MR: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 2.000 % in 2022. This stayed constant from the previous number of 2.000 % for 2021. MR: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 2.000 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 4.400 % in 2003 and a record low of 1.900 % in 2020. MR: 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 Mauritania – Table MR.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 |
|---|---|---|
| 2.000 2022 | yearly | 2000 - 2022 |
View Mauritania's MR: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate from 2000 to 2022 in the chart:
MR: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate
MR: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 22.100 % in 2022. This records a decrease from the previous number of 22.700 % for 2021. MR: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 26.600 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 39.300 % in 2000 and a record low of 22.100 % in 2022. MR: 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 Mauritania – Table MR.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 |
|---|---|---|
| 22.100 2022 | yearly | 2000 - 2022 |
View Mauritania's MR: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate from 2000 to 2022 in the chart:
Prevalence of Overweight: % of Adults
Prevalence of Overweight: % of Adults data was reported at 34.400 % in 2016. This records an increase from the previous number of 33.700 % for 2015. Prevalence of Overweight: % of Adults data is updated yearly, averaging 21.250 % from Dec 1975 (Median) to 2016, with 42 observations. The data reached an all-time high of 34.400 % in 2016 and a record low of 9.300 % in 1975. Prevalence of Overweight: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritania – Table MR.World Bank.WDI: Social: Health Statistics. Prevalence of overweight adults is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;;
| Last | Frequency | Range |
|---|---|---|
| 34.400 2016 | yearly | 1975 - 2016 |