Belgium Human Capital Index
Belgium BE: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
BE: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.754 NA in 2017. BE: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.754 NA from Dec 2017 (Median) to 2017, with 1 observations. BE: 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 Belgium – Table BE.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 |
|---|---|---|
| 0.754 2017 | yearly | 2017 - 2017 |
View Belgium's Belgium BE: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Belgium BE: Human Capital Index (HCI): Female: Scale 0-1
BE: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.766 NA in 2017. BE: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.766 NA from Dec 2017 (Median) to 2017, with 1 observations. BE: 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 Belgium – Table BE.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 |
|---|---|---|
| 0.766 2017 | yearly | 2017 - 2017 |
View Belgium's Belgium BE: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Belgium BE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
BE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.777 NA in 2017. BE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.777 NA from Dec 2017 (Median) to 2017, with 1 observations. BE: 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 Belgium – Table BE.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 |
|---|---|---|
| 0.777 2017 | yearly | 2017 - 2017 |
View Belgium's Belgium BE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Belgium BE: Human Capital Index (HCI): Lower Bound: Scale 0-1
BE: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.745 NA in 2017. BE: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.745 NA from Dec 2017 (Median) to 2017, with 1 observations. BE: 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 Belgium – Table BE.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 |
|---|---|---|
| 0.745 2017 | yearly | 2017 - 2017 |
View Belgium's Belgium BE: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Belgium BE: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
BE: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.735 NA in 2017. BE: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.735 NA from Dec 2017 (Median) to 2017, with 1 observations. BE: 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 Belgium – Table BE.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 |
|---|---|---|
| 0.735 2017 | yearly | 2017 - 2017 |
View Belgium's Belgium BE: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Belgium BE: Human Capital Index (HCI): Male: Scale 0-1
BE: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.749 NA in 2017. BE: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.749 NA from Dec 2017 (Median) to 2017, with 1 observations. BE: 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 Belgium – Table BE.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 |
|---|---|---|
| 0.749 2017 | yearly | 2017 - 2017 |
View Belgium's Belgium BE: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Belgium BE: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
BE: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.763 NA in 2017. BE: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.763 NA from Dec 2017 (Median) to 2017, with 1 observations. BE: 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 Belgium – Table BE.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 |
|---|---|---|
| 0.763 2017 | yearly | 2017 - 2017 |
View Belgium's Belgium BE: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Belgium BE: Human Capital Index (HCI): Scale 0-1
BE: Human Capital Index (HCI): Scale 0-1 data was reported at 0.757 NA in 2017. BE: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.757 NA from Dec 2017 (Median) to 2017, with 1 observations. BE: 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 Belgium – Table BE.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 |
|---|---|---|
| 0.757 2017 | yearly | 2017 - 2017 |
View Belgium's Belgium BE: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Belgium BE: Human Capital Index (HCI): Upper Bound: Scale 0-1
BE: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.768 NA in 2017. BE: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.768 NA from Dec 2017 (Median) to 2017, with 1 observations. BE: 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 Belgium – Table BE.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 |
|---|---|---|
| 0.768 2017 | yearly | 2017 - 2017 |