India Human Capital Index
India IN: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
IN: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.442 NA in 2017. IN: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.442 NA from Dec 2017 (Median) to 2017, with 1 observations. IN: 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 India – Table IN.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 |
|---|---|---|
| 0.442 2017 | yearly | 2017 - 2017 |
View India's India IN: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
India IN: Human Capital Index (HCI): Female: Scale 0-1
IN: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.451 NA in 2017. IN: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.451 NA from Dec 2017 (Median) to 2017, with 1 observations. IN: 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 India – Table IN.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 |
|---|---|---|
| 0.451 2017 | yearly | 2017 - 2017 |
View India's India IN: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
India IN: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
IN: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.461 NA in 2017. IN: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.461 NA from Dec 2017 (Median) to 2017, with 1 observations. IN: 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 India – Table IN.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 |
|---|---|---|
| 0.461 2017 | yearly | 2017 - 2017 |
View India's India IN: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
India IN: Human Capital Index (HCI): Lower Bound: Scale 0-1
IN: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.432 NA in 2017. IN: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.432 NA from Dec 2017 (Median) to 2017, with 1 observations. IN: 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 India – Table IN.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 |
|---|---|---|
| 0.432 2017 | yearly | 2017 - 2017 |
View India's India IN: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
India IN: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
IN: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.421 NA in 2017. IN: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.421 NA from Dec 2017 (Median) to 2017, with 1 observations. IN: 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 India – Table IN.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 |
|---|---|---|
| 0.421 2017 | yearly | 2017 - 2017 |
View India's India IN: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
India IN: Human Capital Index (HCI): Male: Scale 0-1
IN: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.429 NA in 2017. IN: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.429 NA from Dec 2017 (Median) to 2017, with 1 observations. IN: 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 India – Table IN.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 |
|---|---|---|
| 0.429 2017 | yearly | 2017 - 2017 |
View India's India IN: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
India IN: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
IN: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.437 NA in 2017. IN: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.437 NA from Dec 2017 (Median) to 2017, with 1 observations. IN: 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 India – Table IN.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 |
|---|---|---|
| 0.437 2017 | yearly | 2017 - 2017 |
View India's India IN: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
India IN: Human Capital Index (HCI): Scale 0-1
IN: Human Capital Index (HCI): Scale 0-1 data was reported at 0.440 NA in 2017. IN: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.440 NA from Dec 2017 (Median) to 2017, with 1 observations. IN: 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 India – Table IN.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 |
|---|---|---|
| 0.440 2017 | yearly | 2017 - 2017 |
View India's India IN: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
India IN: Human Capital Index (HCI): Upper Bound: Scale 0-1
IN: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.448 NA in 2017. IN: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.448 NA from Dec 2017 (Median) to 2017, with 1 observations. IN: 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 India – Table IN.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 |
|---|---|---|
| 0.448 2017 | yearly | 2017 - 2017 |