Hungary Human Capital Index
Hungary HU: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
HU: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.715 NA in 2017. HU: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.715 NA from Dec 2017 (Median) to 2017, with 1 observations. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 0.715 2017 | yearly | 2017 - 2017 |
View Hungary's Hungary HU: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Hungary HU: Human Capital Index (HCI): Female: Scale 0-1
HU: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.729 NA in 2017. HU: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.729 NA from Dec 2017 (Median) to 2017, with 1 observations. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 0.729 2017 | yearly | 2017 - 2017 |
View Hungary's Hungary HU: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Hungary HU: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
HU: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.743 NA in 2017. HU: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.743 NA from Dec 2017 (Median) to 2017, with 1 observations. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 0.743 2017 | yearly | 2017 - 2017 |
View Hungary's Hungary HU: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Hungary HU: Human Capital Index (HCI): Lower Bound: Scale 0-1
HU: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.688 NA in 2017. HU: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.688 NA from Dec 2017 (Median) to 2017, with 1 observations. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 0.688 2017 | yearly | 2017 - 2017 |
View Hungary's Hungary HU: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Hungary HU: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
HU: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.659 NA in 2017. HU: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.659 NA from Dec 2017 (Median) to 2017, with 1 observations. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 0.659 2017 | yearly | 2017 - 2017 |
View Hungary's Hungary HU: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Hungary HU: Human Capital Index (HCI): Male: Scale 0-1
HU: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.678 NA in 2017. HU: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.678 NA from Dec 2017 (Median) to 2017, with 1 observations. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 0.678 2017 | yearly | 2017 - 2017 |
View Hungary's Hungary HU: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Hungary HU: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
HU: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.698 NA in 2017. HU: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.698 NA from Dec 2017 (Median) to 2017, with 1 observations. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 0.698 2017 | yearly | 2017 - 2017 |
View Hungary's Hungary HU: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Hungary HU: Human Capital Index (HCI): Scale 0-1
HU: Human Capital Index (HCI): Scale 0-1 data was reported at 0.703 NA in 2017. HU: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.703 NA from Dec 2017 (Median) to 2017, with 1 observations. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 0.703 2017 | yearly | 2017 - 2017 |
View Hungary's Hungary HU: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Hungary HU: Human Capital Index (HCI): Upper Bound: Scale 0-1
HU: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.719 NA in 2017. HU: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.719 NA from Dec 2017 (Median) to 2017, with 1 observations. HU: 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 Hungary – Table HU.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 |
|---|---|---|
| 0.719 2017 | yearly | 2017 - 2017 |