United States Human Capital Index
United States US: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
US: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.747 NA in 2017. US: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.747 NA from Dec 2017 (Median) to 2017, with 1 observations. US: 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 USA – Table US.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 |
|---|---|---|
| 0.747 2017 | yearly | 2017 - 2017 |
View United States's United States US: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
United States US: Human Capital Index (HCI): Female: Scale 0-1
US: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.757 NA in 2017. US: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.757 NA from Dec 2017 (Median) to 2017, with 1 observations. US: 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 USA – Table US.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 United States's United States US: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
United States US: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
US: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.766 NA in 2017. US: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.766 NA from Dec 2017 (Median) to 2017, with 1 observations. US: 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 USA – Table US.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 |
|---|---|---|
| 0.766 2017 | yearly | 2017 - 2017 |
View United States's United States US: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
United States US: Human Capital Index (HCI): Lower Bound: Scale 0-1
US: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.751 NA in 2017. US: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.751 NA from Dec 2017 (Median) to 2017, with 1 observations. US: 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 USA – Table US.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 |
|---|---|---|
| 0.751 2017 | yearly | 2017 - 2017 |
View United States's United States US: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
United States US: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
US: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.715 NA in 2017. US: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.715 NA from Dec 2017 (Median) to 2017, with 1 observations. US: 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 USA – Table US.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 United States's United States US: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
United States US: Human Capital Index (HCI): Male: Scale 0-1
US: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.726 NA in 2017. US: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.726 NA from Dec 2017 (Median) to 2017, with 1 observations. US: 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 USA – Table US.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 |
|---|---|---|
| 0.726 2017 | yearly | 2017 - 2017 |
View United States's United States US: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
United States US: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
US: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.736 NA in 2017. US: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.736 NA from Dec 2017 (Median) to 2017, with 1 observations. US: 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 USA – Table US.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 |
|---|---|---|
| 0.736 2017 | yearly | 2017 - 2017 |
View United States's United States US: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
United States US: Human Capital Index (HCI): Scale 0-1
US: Human Capital Index (HCI): Scale 0-1 data was reported at 0.762 NA in 2017. US: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.762 NA from Dec 2017 (Median) to 2017, with 1 observations. US: 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 USA – Table US.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 |
|---|---|---|
| 0.762 2017 | yearly | 2017 - 2017 |
View United States's United States US: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
United States US: Human Capital Index (HCI): Upper Bound: Scale 0-1
US: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.773 NA in 2017. US: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.773 NA from Dec 2017 (Median) to 2017, with 1 observations. US: 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 USA – Table US.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 |
|---|---|---|
| 0.773 2017 | yearly | 2017 - 2017 |