North Macedonia Social: Health Statistics
Incidence of HIV: per 1,000 Uninfected Population
Incidence of HIV: per 1,000 Uninfected Population data was reported at 0.030 Ratio in 2022. This stayed constant from the previous number of 0.030 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 0.030 Ratio in 2022 and a record low of 0.010 Ratio in 2012. 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 North Macedonia – Table MK.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 |
|---|---|---|
| 0.030 2022 | yearly | 1990 - 2022 |
View North Macedonia'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 0.020 Ratio in 2022. This stayed constant from the previous number of 0.020 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 0.020 Ratio in 2022 and a record low of 0.010 Ratio in 2020. 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 North Macedonia – Table MK.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 |
|---|---|---|
| 0.020 2022 | yearly | 1990 - 2022 |
View North Macedonia's Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 from 1990 to 2022 in the chart:
MK: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population
MK: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data was reported at 20.900 % in 2020. This records an increase from the previous number of 17.700 % for 2019. MK: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 14.750 % from Dec 2015 (Median) to 2020, with 6 observations. The data reached an all-time high of 20.900 % in 2020 and a record low of 13.700 % in 2016. MK: 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 North Macedonia – Table MK.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 |
|---|---|---|
| 20.900 2020 | yearly | 2015 - 2020 |
View North Macedonia's MK: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population from 2015 to 2020 in the chart:
MK: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate
MK: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 12.300 % in 2024. This records an increase from the previous number of 11.500 % for 2023. MK: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 12.300 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 14.100 % in 2007 and a record low of 10.500 % in 2020. MK: 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 North Macedonia – Table MK.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 |
|---|---|---|
| 9.900 2022 | yearly | 2000 - 2022 |
View North Macedonia's MK: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate from 2000 to 2022 in the chart:
MK: Prevalence of Severe Food Insecurity in the Population: % of population
MK: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 6.000 % in 2020. This records an increase from the previous number of 5.000 % for 2019. MK: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 3.400 % from Dec 2015 (Median) to 2020, with 6 observations. The data reached an all-time high of 6.000 % in 2020 and a record low of 3.100 % in 2017. MK: 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 North Macedonia – Table MK.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 |
|---|---|---|
| 6.000 2020 | yearly | 2015 - 2020 |
View North Macedonia's MK: Prevalence of Severe Food Insecurity in the Population: % of population from 2015 to 2020 in the chart:
MK: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate
MK: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 3.800 % in 2024. This stayed constant from the previous number of 3.800 % for 2023. MK: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 5.700 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 8.600 % in 2005 and a record low of 3.800 % in 2024. MK: 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 North Macedonia – Table MK.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 |
|---|---|---|
| 3.700 2022 | yearly | 2000 - 2022 |
View North Macedonia's MK: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate from 2000 to 2022 in the chart:
MK: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49
MK: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data was reported at 88.100 % in 2019. MK: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 data is updated yearly, averaging 88.100 % from Dec 2019 (Median) to 2019, with 1 observations. The data reached an all-time high of 88.100 % in 2019 and a record low of 88.100 % in 2019. MK: 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 North Macedonia – Table MK.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 |
|---|---|---|
| 88.100 2019 | yearly | 2019 - 2019 |
View North Macedonia's MK: Women Making Their Own Informed Decisions Regarding Sexual Relations, Contraceptive Use and Reproductive Health Care: % Aged 15-49 from 2019 to 2019 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 North Macedonia – Table MK.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 North Macedonia'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 North Macedonia – Table MK.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 |
View North Macedonia's Newly Infected with HIV: Adults: Aged 15-49 from 1990 to 2022 in the chart:
Prevalence of Overweight: % of Adults
Prevalence of Overweight: % of Adults data was reported at 58.100 % in 2016. This records an increase from the previous number of 57.600 % for 2015. Prevalence of Overweight: % of Adults data is updated yearly, averaging 49.650 % from Dec 1975 (Median) to 2016, with 42 observations. The data reached an all-time high of 58.100 % in 2016 and a record low of 38.600 % 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 North Macedonia – Table MK.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 |
|---|---|---|
| 58.100 2016 | yearly | 1975 - 2016 |