Belarus Human Capital Index
Belarus BY: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
BY: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.724 NA in 2020. BY: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.724 NA from Dec 2020 (Median) to 2020, with 1 observations. BY: 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 Belarus – Table BY.World Bank.WDI: 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 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 Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;
| Last | Frequency | Range |
|---|---|---|
| 0.724 2020 | yearly | 2020 - 2020 |
View Belarus's Belarus BY: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2020 to 2020 in the chart:
Belarus BY: Human Capital Index (HCI): Female: Scale 0-1
BY: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.734 NA in 2020. BY: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.734 NA from Dec 2020 (Median) to 2020, with 1 observations. BY: 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 Belarus – Table BY.World Bank.WDI: 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 |
|---|---|---|
| 0.734 2020 | yearly | 2020 - 2020 |
View Belarus's Belarus BY: Human Capital Index (HCI): Female: Scale 0-1 from 2020 to 2020 in the chart:
Belarus BY: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
BY: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.744 NA in 2020. BY: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.744 NA from Dec 2020 (Median) to 2020, with 1 observations. BY: 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 Belarus – Table BY.World Bank.WDI: 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 Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;
| Last | Frequency | Range |
|---|---|---|
| 0.744 2020 | yearly | 2020 - 2020 |
View Belarus's Belarus BY: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2020 to 2020 in the chart:
Belarus BY: Human Capital Index (HCI): Lower Bound: Scale 0-1
BY: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.690 NA in 2020. BY: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.690 NA from Dec 2020 (Median) to 2020, with 1 observations. BY: 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 Belarus – Table BY.World Bank.WDI: 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 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 Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;
| Last | Frequency | Range |
|---|---|---|
| 0.690 2020 | yearly | 2020 - 2020 |
View Belarus's Belarus BY: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2020 to 2020 in the chart:
Belarus BY: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
BY: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.654 NA in 2020. BY: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.654 NA from Dec 2020 (Median) to 2020, with 1 observations. BY: 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 Belarus – Table BY.World Bank.WDI: 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 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 Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;
| Last | Frequency | Range |
|---|---|---|
| 0.654 2020 | yearly | 2020 - 2020 |
View Belarus's Belarus BY: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2020 to 2020 in the chart:
Belarus BY: Human Capital Index (HCI): Male: Scale 0-1
BY: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.667 NA in 2020. BY: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.667 NA from Dec 2020 (Median) to 2020, with 1 observations. BY: 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 Belarus – Table BY.World Bank.WDI: 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 |
|---|---|---|
| 0.667 2020 | yearly | 2020 - 2020 |
View Belarus's Belarus BY: Human Capital Index (HCI): Male: Scale 0-1 from 2020 to 2020 in the chart:
Belarus BY: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
BY: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.679 NA in 2020. BY: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.679 NA from Dec 2020 (Median) to 2020, with 1 observations. BY: 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 Belarus – Table BY.World Bank.WDI: 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 Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;
| Last | Frequency | Range |
|---|---|---|
| 0.679 2020 | yearly | 2020 - 2020 |
View Belarus's Belarus BY: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2020 to 2020 in the chart:
Belarus BY: Human Capital Index (HCI): Scale 0-1
BY: Human Capital Index (HCI): Scale 0-1 data was reported at 0.700 NA in 2020. BY: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.700 NA from Dec 2020 (Median) to 2020, with 1 observations. BY: 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 Belarus – Table BY.World Bank.WDI: 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 |
|---|---|---|
| 0.700 2020 | yearly | 2020 - 2020 |
View Belarus's Belarus BY: Human Capital Index (HCI): Scale 0-1 from 2020 to 2020 in the chart:
Belarus BY: Human Capital Index (HCI): Upper Bound: Scale 0-1
BY: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.710 NA in 2020. BY: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.710 NA from Dec 2020 (Median) to 2020, with 1 observations. BY: 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 Belarus – Table BY.World Bank.WDI: 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 Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;
| Last | Frequency | Range |
|---|---|---|
| 0.710 2020 | yearly | 2020 - 2020 |