Croatia Human Capital Index
Croatia HR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
HR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.735 NA in 2017. HR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.735 NA from Dec 2017 (Median) to 2017, with 1 observations. HR: 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 Croatia – Table HR.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 |
|---|---|---|
| 0.735 2017 | yearly | 2017 - 2017 |
View Croatia's Croatia HR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Croatia HR: Human Capital Index (HCI): Female: Scale 0-1
HR: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.747 NA in 2017. HR: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.747 NA from Dec 2017 (Median) to 2017, with 1 observations. HR: 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 Croatia – Table HR.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 |
|---|---|---|
| 0.747 2017 | yearly | 2017 - 2017 |
View Croatia's Croatia HR: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Croatia HR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
HR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.760 NA in 2017. HR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.760 NA from Dec 2017 (Median) to 2017, with 1 observations. HR: 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 Croatia – Table HR.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 |
|---|---|---|
| 0.760 2017 | yearly | 2017 - 2017 |
View Croatia's Croatia HR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Croatia HR: Human Capital Index (HCI): Lower Bound: Scale 0-1
HR: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.709 NA in 2017. HR: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.709 NA from Dec 2017 (Median) to 2017, with 1 observations. HR: 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 Croatia – Table HR.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 |
|---|---|---|
| 0.709 2017 | yearly | 2017 - 2017 |
View Croatia's Croatia HR: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Croatia HR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
HR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.683 NA in 2017. HR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.683 NA from Dec 2017 (Median) to 2017, with 1 observations. HR: 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 Croatia – Table HR.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 |
|---|---|---|
| 0.683 2017 | yearly | 2017 - 2017 |
View Croatia's Croatia HR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Croatia HR: Human Capital Index (HCI): Male: Scale 0-1
HR: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.699 NA in 2017. HR: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.699 NA from Dec 2017 (Median) to 2017, with 1 observations. HR: 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 Croatia – Table HR.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 |
|---|---|---|
| 0.699 2017 | yearly | 2017 - 2017 |
View Croatia's Croatia HR: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Croatia HR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
HR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.716 NA in 2017. HR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.716 NA from Dec 2017 (Median) to 2017, with 1 observations. HR: 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 Croatia – Table HR.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 |
|---|---|---|
| 0.716 2017 | yearly | 2017 - 2017 |
View Croatia's Croatia HR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Croatia HR: Human Capital Index (HCI): Scale 0-1
HR: Human Capital Index (HCI): Scale 0-1 data was reported at 0.723 NA in 2017. HR: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.723 NA from Dec 2017 (Median) to 2017, with 1 observations. HR: 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 Croatia – Table HR.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 |
|---|---|---|
| 0.723 2017 | yearly | 2017 - 2017 |
View Croatia's Croatia HR: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Croatia HR: Human Capital Index (HCI): Upper Bound: Scale 0-1
HR: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.736 NA in 2017. HR: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.736 NA from Dec 2017 (Median) to 2017, with 1 observations. HR: 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 Croatia – Table HR.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 |