Chile Human Capital Index
Chile CL: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
CL: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.651 NA in 2017. CL: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.651 NA from Dec 2017 (Median) to 2017, with 1 observations. CL: 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 Chile – Table CL.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 |
|---|---|---|
| 0.651 2017 | yearly | 2017 - 2017 |
View Chile's Chile CL: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Chile CL: Human Capital Index (HCI): Female: Scale 0-1
CL: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.682 NA in 2017. CL: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.682 NA from Dec 2017 (Median) to 2017, with 1 observations. CL: 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 Chile – Table CL.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 |
|---|---|---|
| 0.682 2017 | yearly | 2017 - 2017 |
View Chile's Chile CL: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Chile CL: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
CL: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.686 NA in 2017. CL: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.686 NA from Dec 2017 (Median) to 2017, with 1 observations. CL: 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 Chile – Table CL.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 |
|---|---|---|
| 0.686 2017 | yearly | 2017 - 2017 |
View Chile's Chile CL: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Chile CL: Human Capital Index (HCI): Lower Bound: Scale 0-1
CL: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.659 NA in 2017. CL: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.659 NA from Dec 2017 (Median) to 2017, with 1 observations. CL: 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 Chile – Table CL.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 Chile's Chile CL: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Chile CL: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
CL: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.624 NA in 2017. CL: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.624 NA from Dec 2017 (Median) to 2017, with 1 observations. CL: 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 Chile – Table CL.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 |
|---|---|---|
| 0.624 2017 | yearly | 2017 - 2017 |
View Chile's Chile CL: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Chile CL: Human Capital Index (HCI): Male: Scale 0-1
CL: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.667 NA in 2017. CL: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.667 NA from Dec 2017 (Median) to 2017, with 1 observations. CL: 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 Chile – Table CL.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 |
|---|---|---|
| 0.667 2017 | yearly | 2017 - 2017 |
View Chile's Chile CL: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Chile CL: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
CL: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.669 NA in 2017. CL: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.669 NA from Dec 2017 (Median) to 2017, with 1 observations. CL: 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 Chile – Table CL.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 |
|---|---|---|
| 0.669 2017 | yearly | 2017 - 2017 |
View Chile's Chile CL: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Chile CL: Human Capital Index (HCI): Scale 0-1
CL: Human Capital Index (HCI): Scale 0-1 data was reported at 0.674 NA in 2017. CL: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.674 NA from Dec 2017 (Median) to 2017, with 1 observations. CL: 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 Chile – Table CL.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 Chile's Chile CL: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Chile CL: Human Capital Index (HCI): Upper Bound: Scale 0-1
CL: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.688 NA in 2017. CL: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.688 NA from Dec 2017 (Median) to 2017, with 1 observations. CL: 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 Chile – Table CL.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 |
|---|---|---|
| 0.688 2017 | yearly | 2017 - 2017 |