Costa Rica Human Capital Index
Costa Rica CR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
CR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.611 NA in 2017. CR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.611 NA from Dec 2017 (Median) to 2017, with 1 observations. CR: 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 Costa Rica – Table CR.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 |
|---|---|---|
| 0.611 2017 | yearly | 2017 - 2017 |
View Costa Rica's Costa Rica CR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Costa Rica CR: Human Capital Index (HCI): Female: Scale 0-1
CR: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.621 NA in 2017. CR: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.621 NA from Dec 2017 (Median) to 2017, with 1 observations. CR: 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 Costa Rica – Table CR.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 |
|---|---|---|
| 0.621 2017 | yearly | 2017 - 2017 |
View Costa Rica's Costa Rica CR: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Costa Rica CR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
CR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.630 NA in 2017. CR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.630 NA from Dec 2017 (Median) to 2017, with 1 observations. CR: 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 Costa Rica – Table CR.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 |
|---|---|---|
| 0.630 2017 | yearly | 2017 - 2017 |
View Costa Rica's Costa Rica CR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Costa Rica CR: Human Capital Index (HCI): Lower Bound: Scale 0-1
CR: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.609 NA in 2017. CR: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.609 NA from Dec 2017 (Median) to 2017, with 1 observations. CR: 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 Costa Rica – Table CR.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 |
|---|---|---|
| 0.609 2017 | yearly | 2017 - 2017 |
View Costa Rica's Costa Rica CR: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Costa Rica CR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
CR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.585 NA in 2017. CR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.585 NA from Dec 2017 (Median) to 2017, with 1 observations. CR: 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 Costa Rica – Table CR.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 |
|---|---|---|
| 0.585 2017 | yearly | 2017 - 2017 |
View Costa Rica's Costa Rica CR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Costa Rica CR: Human Capital Index (HCI): Male: Scale 0-1
CR: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.597 NA in 2017. CR: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.597 NA from Dec 2017 (Median) to 2017, with 1 observations. CR: 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 Costa Rica – Table CR.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 |
|---|---|---|
| 0.597 2017 | yearly | 2017 - 2017 |
View Costa Rica's Costa Rica CR: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Costa Rica CR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
CR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.608 NA in 2017. CR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.608 NA from Dec 2017 (Median) to 2017, with 1 observations. CR: 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 Costa Rica – Table CR.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 |
|---|---|---|
| 0.608 2017 | yearly | 2017 - 2017 |
View Costa Rica's Costa Rica CR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Costa Rica CR: Human Capital Index (HCI): Scale 0-1
CR: Human Capital Index (HCI): Scale 0-1 data was reported at 0.619 NA in 2017. CR: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.619 NA from Dec 2017 (Median) to 2017, with 1 observations. CR: 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 Costa Rica – Table CR.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 |
|---|---|---|
| 0.619 2017 | yearly | 2017 - 2017 |
View Costa Rica's Costa Rica CR: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Costa Rica CR: Human Capital Index (HCI): Upper Bound: Scale 0-1
CR: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.629 NA in 2017. CR: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.629 NA from Dec 2017 (Median) to 2017, with 1 observations. CR: 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 Costa Rica – Table CR.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 |
|---|---|---|
| 0.629 2017 | yearly | 2017 - 2017 |