This dataset is about countries per year in Serbia. It has 64 rows. It features 4 columns: country, GDP, and life expectancy at birth.

Serbia RS: Life Expectancy at Birth: Female data was reported at 77.800 Year in 2016. This records a decrease from the previous number of 77.900 Year for 2015. Serbia RS: Life Expectancy at Birth: Female data is updated yearly, averaging 76.500 Year from Dec 1991 (Median) to 2016, with 19 observations. The data reached an all-time high of 78.000 Year in 2014 and a record low of 74.100 Year in 1991. Serbia RS: 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 Serbia – Table RS.World Bank: 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;

This dataset is about countries per year in Serbia. It has 64 rows. It features 4 columns: country, urban population living in areas where elevation is below 5 meters , and birth rate.

This dataset is about countries per year in Serbia. It has 1 row and is filtered where the date is 2021. It features 4 columns: country, incidence of HIV, and birth rate.

Serbia RS: Life Expectancy at Birth: Male data was reported at 72.800 Year in 2016. This stayed constant from the previous number of 72.800 Year for 2015. Serbia RS: Life Expectancy at Birth: Male data is updated yearly, averaging 70.900 Year from Dec 1991 (Median) to 2016, with 19 observations. The data reached an all-time high of 72.800 Year in 2016 and a record low of 68.900 Year in 2000. Serbia RS: 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 Serbia – Table RS.World Bank: 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;

Serbia RS: Birth Rate: Crude: per 1000 People data was reported at 9.200 Ratio in 2016. This records a decrease from the previous number of 9.300 Ratio for 2015. Serbia RS: Birth Rate: Crude: per 1000 People data is updated yearly, averaging 9.600 Ratio from Dec 1991 (Median) to 2016, with 23 observations. The data reached an all-time high of 11.900 Ratio in 1991 and a record low of 9.100 Ratio in 2011. Serbia RS: Birth Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Serbia – Table RS.World Bank.WDI: Population and Urbanization Statistics. Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (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;

Serbia RS: Fertility Rate: Total: Births per Woman data was reported at 1.460 Ratio in 2016. This stayed constant from the previous number of 1.460 Ratio for 2015. Serbia RS: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.460 Ratio from Dec 1961 (Median) to 2016, with 23 observations. The data reached an all-time high of 2.500 Ratio in 1961 and a record low of 1.380 Ratio in 2007. Serbia RS: 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 Serbia – Table RS.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.

Serbia RS: Life Expectancy at Birth: Total data was reported at 75.239 Year in 2016. This records a decrease from the previous number of 75.288 Year for 2015. Serbia RS: Life Expectancy at Birth: Total data is updated yearly, averaging 73.632 Year from Dec 1991 (Median) to 2016, with 19 observations. The data reached an all-time high of 75.337 Year in 2014 and a record low of 71.488 Year in 1991. Serbia RS: 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 Serbia – Table RS.World Bank: 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;

This dataset shows the naturalised foreigners of the canton of Basel-Stadt by gender, age, country of birth and former nationality. Until 2014, Serbian, Montenegro and Kosovo nationals are grouped under “Serbia, Montenegro and Kosovo”, and since 2015 they can be expelled separately. The dataset is updated annually. Foreign nationals who have lived in Switzerland for ten years and who hold a residence permit C can apply for ordinary naturalisation. The years spent in Switzerland between the ages of 8 and 18 are double. Under certain conditions, a simplified naturalisation is possible after a shorter period of stay, e.g. after five years of residence and three years of marriage with a Swiss citizen. Third-generation foreign nationals born in Switzerland are also able to become citizens up to the age of 25 if a grandparent and one parent have lived in Switzerland. Until 2017, some other provisions applied to naturalisation applications submitted up to that date. In addition to ordinary and facilitated naturalisations, there are other naturalisations (e.g. due to recognition of paternity, adoption, re-naturalisation or determination of Swiss citizenship), which are also taken into account here.

Serbia RS: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 13.900 % in 2014. This records a decrease from the previous number of 15.600 % for 2010. Serbia RS: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 15.600 % from Dec 2005 (Median) to 2014, with 3 observations. The data reached an all-time high of 19.300 % in 2005 and a record low of 13.900 % in 2014. Serbia RS: Prevalence of Overweight: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Serbia – Table RS.World Bank: 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 new child growth standards released in 2006.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. 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

Serbia RS: Prevalence of Stunting: Height for Age: % of Children Under 5 data was reported at 6.000 % in 2014. This records a decrease from the previous number of 6.600 % for 2010. Serbia RS: Prevalence of Stunting: Height for Age: % of Children Under 5 data is updated yearly, averaging 6.600 % from Dec 2005 (Median) to 2014, with 3 observations. The data reached an all-time high of 8.100 % in 2005 and a record low of 6.000 % in 2014. Serbia RS: Prevalence of Stunting: Height for Age: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Serbia – Table RS.World Bank: 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 new child growth standards released in 2006.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; 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, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. 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.

Serbia RS: Prevalence of Underweight: Weight for Age: % of Children Under 5 data was reported at 1.800 % in 2014. This records an increase from the previous number of 1.600 % for 2010. Serbia RS: Prevalence of Underweight: Weight for Age: % of Children Under 5 data is updated yearly, averaging 1.800 % from Dec 2005 (Median) to 2014, with 3 observations. The data reached an all-time high of 1.800 % in 2014 and a record low of 1.600 % in 2010. Serbia RS: Prevalence of Underweight: Weight for Age: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Serbia – Table RS.World Bank: Health Statistics. Prevalence of underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's child growth standards released in 2006.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; 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, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. 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.

Serbia RS: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data was reported at 1.100 % in 2014. This records an increase from the previous number of 0.800 % for 2010. Serbia RS: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data is updated yearly, averaging 1.100 % from Dec 2005 (Median) to 2014, with 3 observations. The data reached an all-time high of 1.800 % in 2005 and a record low of 0.800 % in 2010. Serbia RS: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Serbia – Table RS.World Bank.WDI: Health Statistics. Prevalence of severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; 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, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. 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.

Serbia RS: Prevalence of Wasting: Weight for Height: % of Children Under 5 data was reported at 3.900 % in 2014. This records an increase from the previous number of 3.500 % for 2010. Serbia RS: Prevalence of Wasting: Weight for Height: % of Children Under 5 data is updated yearly, averaging 3.900 % from Dec 2005 (Median) to 2014, with 3 observations. The data reached an all-time high of 4.500 % in 2005 and a record low of 3.500 % in 2010. Serbia RS: Prevalence of Wasting: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Serbia – Table RS.World Bank: Health Statistics. Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; 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, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. 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.