Maldives Social: Health Statistics
Incidence of HIV: per 1,000 Uninfected Population
Incidence of HIV: per 1,000 Uninfected Population data was reported at 0.010 Ratio in 2022. This stayed constant from the previous number of 0.010 Ratio for 2021. Incidence of HIV: per 1,000 Uninfected Population data is updated yearly, averaging 0.010 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.010 Ratio in 2022 and a record low of 0.010 Ratio in 2022. 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 Maldives – Table MV.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 |
|---|---|---|
| 0.010 2022 | yearly | 1990 - 2022 |
View Maldives's Incidence of HIV: per 1,000 Uninfected Population from 1990 to 2022 in the chart:
Incidence of HIV: per 1,000 Uninfected Population Aged 15-24
Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data was reported at 0.010 Ratio in 2022. This stayed constant from the previous number of 0.010 Ratio for 2021. Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data is updated yearly, averaging 0.010 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.010 Ratio in 2022 and a record low of 0.010 Ratio in 2022. 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 Maldives – Table MV.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 |
|---|---|---|
| 0.010 2022 | yearly | 1990 - 2022 |
View Maldives's Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 from 1990 to 2022 in the chart:
Incidence of HIV: per 1,000 Uninfected Population Aged 15-49
Incidence of HIV: per 1,000 Uninfected Population Aged 15-49 data was reported at 0.010 Ratio in 2022. This stayed constant from the previous number of 0.010 Ratio for 2021. Incidence of HIV: per 1,000 Uninfected Population Aged 15-49 data is updated yearly, averaging 0.010 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.010 Ratio in 2022 and a record low of 0.010 Ratio in 2022. Incidence of HIV: per 1,000 Uninfected Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Maldives – Table MV.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations ages 15-49 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 |
|---|---|---|
| 0.010 2022 | yearly | 1990 - 2022 |
View Maldives's Incidence of HIV: per 1,000 Uninfected Population Aged 15-49 from 1990 to 2022 in the chart:
MV: Prevalence of Anemia among Children: % of Children Aged 6-59 Months
MV: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data was reported at 37.800 % in 2019. This records an increase from the previous number of 37.300 % for 2018. MV: Prevalence of Anemia among Children: % of Children Aged 6-59 Months data is updated yearly, averaging 35.700 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 44.900 % in 2000 and a record low of 33.400 % in 2010. MV: 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 Maldives – Table MV.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 |
|---|---|---|
| 37.800 2019 | yearly | 2000 - 2019 |
View Maldives's MV: Prevalence of Anemia among Children: % of Children Aged 6-59 Months from 2000 to 2019 in the chart:
MV: Prevalence of Current Tobacco Use: Females: % of Female Adults
MV: Prevalence of Current Tobacco Use: Females: % of Female Adults data was reported at 10.400 % in 2022. This records a decrease from the previous number of 10.800 % for 2021. MV: Prevalence of Current Tobacco Use: Females: % of Female Adults data is updated yearly, averaging 15.000 % from Dec 2000 (Median) to 2022, with 8 observations. The data reached an all-time high of 24.700 % in 2000 and a record low of 10.400 % in 2022. MV: 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 Maldives – Table MV.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 |
|---|---|---|
| 6.000 2020 | yearly | 2000 - 2020 |
View Maldives's MV: Prevalence of Current Tobacco Use: Females: % of Female Adults from 2000 to 2020 in the chart:
MV: Prevalence of Current Tobacco Use: Males: % of Male Adults
MV: Prevalence of Current Tobacco Use: Males: % of Male Adults data was reported at 42.200 % in 2022. This records a decrease from the previous number of 43.100 % for 2021. MV: Prevalence of Current Tobacco Use: Males: % of Male Adults data is updated yearly, averaging 49.000 % from Dec 2000 (Median) to 2022, with 8 observations. The data reached an all-time high of 60.200 % in 2000 and a record low of 42.200 % in 2022. MV: 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 Maldives – Table MV.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 |
|---|---|---|
| 44.400 2020 | yearly | 2000 - 2020 |
View Maldives's MV: Prevalence of Current Tobacco Use: Males: % of Male Adults from 2000 to 2020 in the chart:
MV: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population
MV: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data was reported at 13.400 % in 2022. This stayed constant from the previous number of 13.400 % for 2021. MV: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 13.400 % from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 13.400 % in 2022 and a record low of 13.400 % in 2022. MV: 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 Maldives – Table MV.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 |
|---|---|---|
| 13.400 2022 | yearly | 2015 - 2022 |
View Maldives's MV: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population from 2015 to 2022 in the chart:
MV: Prevalence of Severe Food Insecurity in the Population: % of population
MV: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 2.200 % in 2022. This stayed constant from the previous number of 2.200 % for 2021. MV: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 2.200 % from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 2.200 % in 2022 and a record low of 2.200 % in 2022. MV: 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 Maldives – Table MV.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 |
|---|---|---|
| 2.200 2022 | yearly | 2015 - 2022 |
View Maldives's MV: Prevalence of Severe Food Insecurity in the Population: % of population from 2015 to 2022 in the chart:
MV: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate
MV: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 14.200 % in 2024. This records an increase from the previous number of 14.000 % for 2023. MV: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 16.300 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 33.800 % in 2000 and a record low of 13.900 % in 2021. MV: 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 Maldives – Table MV.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 |
|---|---|---|
| 13.900 2022 | yearly | 2000 - 2022 |
View Maldives's MV: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate from 2000 to 2022 in the chart:
MV: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49
MV: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data was reported at 53.900 % in 2017. MV: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data is updated yearly, averaging 53.900 % from Dec 2017 (Median) to 2017, with 1 observations. The data reached an all-time high of 53.900 % in 2017 and a record low of 53.900 % in 2017. MV: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Maldives – Table MV.World Bank.WDI: Social: Health Statistics. Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.;Demographic and Health Surveys compiled by United Nations Population Fund. Retrieved on February 14, 2023, from the SDG Global database API (https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html).;;This is the Sustainable Development Goal indicator 5.6.1[https://unstats.un.org/sdgs/metadata/].
| Last | Frequency | Range |
|---|---|---|
| 53.900 2017 | yearly | 2017 - 2017 |
View Maldives's MV: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 from 2017 to 2017 in the chart:
Newly Infected with HIV: Adults and Children (Aged 0-14)
Newly Infected with HIV: Adults and Children (Aged 0-14) data was reported at 100.000 Number in 2022. This stayed constant from the previous number of 100.000 Number for 2021. Newly Infected with HIV: Adults and Children (Aged 0-14) data is updated yearly, averaging 100.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 100.000 Number in 2022 and a record low of 100.000 Number in 2022. Newly Infected with HIV: Adults and Children (Aged 0-14) data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Maldives – Table MV.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) 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 2022 | yearly | 1990 - 2022 |
View Maldives's Newly Infected with HIV: Adults and Children (Aged 0-14) from 1990 to 2022 in the chart:
Newly Infected with HIV: Adults: Aged 15-24
Newly Infected with HIV: Adults: Aged 15-24 data was reported at 100.000 Number in 2022. This stayed constant from the previous number of 100.000 Number for 2021. Newly Infected with HIV: Adults: Aged 15-24 data is updated yearly, averaging 100.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 100.000 Number in 2022 and a record low of 100.000 Number in 2022. 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 Maldives – Table MV.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 2022 | yearly | 1990 - 2022 |
View Maldives's Newly Infected with HIV: Adults: Aged 15-24 from 1990 to 2022 in the chart:
Newly Infected with HIV: Adults: Aged 15-49
Newly Infected with HIV: Adults: Aged 15-49 data was reported at 100.000 Number in 2022. This stayed constant from the previous number of 100.000 Number for 2021. Newly Infected with HIV: Adults: Aged 15-49 data is updated yearly, averaging 100.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 100.000 Number in 2022 and a record low of 100.000 Number in 2022. 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 Maldives – Table MV.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 |
|---|---|---|
| 100.000 2022 | yearly | 1990 - 2022 |