Serbia Human Capital Index
Serbia RS: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
RS: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.757 NA in 2017. RS: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.757 NA from Dec 2017 (Median) to 2017, with 1 observations. RS: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 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: Human Capital Index. The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
| Last | Frequency | Range |
|---|---|---|
| 0.757 2017 | yearly | 2017 - 2017 |
View Serbia's Serbia RS: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Serbia RS: Human Capital Index (HCI): Female: Scale 0-1
RS: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.771 NA in 2017. RS: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.771 NA from Dec 2017 (Median) to 2017, with 1 observations. RS: Human Capital Index (HCI): Female: Scale 0-1 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: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
| Last | Frequency | Range |
|---|---|---|
| 0.771 2017 | yearly | 2017 - 2017 |
View Serbia's Serbia RS: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Serbia RS: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
RS: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.785 NA in 2017. RS: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.785 NA from Dec 2017 (Median) to 2017, with 1 observations. RS: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 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: Human Capital Index. The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
| Last | Frequency | Range |
|---|---|---|
| 0.785 2017 | yearly | 2017 - 2017 |
View Serbia's Serbia RS: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Serbia RS: Human Capital Index (HCI): Lower Bound: Scale 0-1
RS: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.740 NA in 2017. RS: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.740 NA from Dec 2017 (Median) to 2017, with 1 observations. RS: Human Capital Index (HCI): Lower Bound: Scale 0-1 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: Human Capital Index. The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
| Last | Frequency | Range |
|---|---|---|
| 0.740 2017 | yearly | 2017 - 2017 |
View Serbia's Serbia RS: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Serbia RS: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
RS: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.720 NA in 2017. RS: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.720 NA from Dec 2017 (Median) to 2017, with 1 observations. RS: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 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: Human Capital Index. The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
| Last | Frequency | Range |
|---|---|---|
| 0.720 2017 | yearly | 2017 - 2017 |
View Serbia's Serbia RS: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Serbia RS: Human Capital Index (HCI): Male: Scale 0-1
RS: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.740 NA in 2017. RS: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.740 NA from Dec 2017 (Median) to 2017, with 1 observations. RS: Human Capital Index (HCI): Male: Scale 0-1 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: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
| Last | Frequency | Range |
|---|---|---|
| 0.740 2017 | yearly | 2017 - 2017 |
View Serbia's Serbia RS: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Serbia RS: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
RS: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.759 NA in 2017. RS: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.759 NA from Dec 2017 (Median) to 2017, with 1 observations. RS: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 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: Human Capital Index. The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
| Last | Frequency | Range |
|---|---|---|
| 0.759 2017 | yearly | 2017 - 2017 |
View Serbia's Serbia RS: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Serbia RS: Human Capital Index (HCI): Scale 0-1
RS: Human Capital Index (HCI): Scale 0-1 data was reported at 0.755 NA in 2017. RS: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.755 NA from Dec 2017 (Median) to 2017, with 1 observations. RS: Human Capital Index (HCI): Scale 0-1 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: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
| Last | Frequency | Range |
|---|---|---|
| 0.755 2017 | yearly | 2017 - 2017 |
View Serbia's Serbia RS: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Serbia RS: Human Capital Index (HCI): Upper Bound: Scale 0-1
RS: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.770 NA in 2017. RS: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.770 NA from Dec 2017 (Median) to 2017, with 1 observations. RS: Human Capital Index (HCI): Upper Bound: Scale 0-1 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: Human Capital Index. The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
| Last | Frequency | Range |
|---|---|---|
| 0.770 2017 | yearly | 2017 - 2017 |