China Human Capital Index
China Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
CN: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.664 NA in 2017. CN: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.664 NA from Dec 2017 (Median) to 2017, with 1 observations. CN: 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 China – Table CN.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 |
|---|---|---|
| 0.664 2017 | yearly | 2017 - 2017 |
View China's China Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
China Human Capital Index (HCI): Female: Scale 0-1
CN: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.674 NA in 2017. CN: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.674 NA from Dec 2017 (Median) to 2017, with 1 observations. CN: 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 China – Table CN.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 |
|---|---|---|
| 0.674 2017 | yearly | 2017 - 2017 |
View China's China Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
China Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
CN: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.683 NA in 2017. CN: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.683 NA from Dec 2017 (Median) to 2017, with 1 observations. CN: 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 China – Table CN.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 |
|---|---|---|
| 0.683 2017 | yearly | 2017 - 2017 |
View China's China Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
China Human Capital Index (HCI): Lower Bound: Scale 0-1
CN: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.662 NA in 2017. CN: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.662 NA from Dec 2017 (Median) to 2017, with 1 observations. CN: 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 China – Table CN.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 |
|---|---|---|
| 0.662 2017 | yearly | 2017 - 2017 |
View China's China Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
China Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
CN: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.648 NA in 2017. CN: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.648 NA from Dec 2017 (Median) to 2017, with 1 observations. CN: 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 China – Table CN.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 |
|---|---|---|
| 0.648 2017 | yearly | 2017 - 2017 |
View China's China Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
China Human Capital Index (HCI): Male: Scale 0-1
CN: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.657 NA in 2017. CN: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.657 NA from Dec 2017 (Median) to 2017, with 1 observations. CN: 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 China – Table CN.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 |
|---|---|---|
| 0.657 2017 | yearly | 2017 - 2017 |
View China's China Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
China Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
CN: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.666 NA in 2017. CN: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.666 NA from Dec 2017 (Median) to 2017, with 1 observations. CN: 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 China – Table CN.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 |
|---|---|---|
| 0.666 2017 | yearly | 2017 - 2017 |
View China's China Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
China Human Capital Index (HCI): Scale 0-1
CN: Human Capital Index (HCI): Scale 0-1 data was reported at 0.673 NA in 2017. CN: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.673 NA from Dec 2017 (Median) to 2017, with 1 observations. CN: 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 China – Table CN.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 |
|---|---|---|
| 0.673 2017 | yearly | 2017 - 2017 |
View China's China Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
China Human Capital Index (HCI): Upper Bound: Scale 0-1
CN: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.683 NA in 2017. CN: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.683 NA from Dec 2017 (Median) to 2017, with 1 observations. CN: 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 China – Table CN.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 |
|---|---|---|
| 0.683 2017 | yearly | 2017 - 2017 |