Italy Human Capital Index
Italy IT: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
IT: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.764 NA in 2017. IT: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.764 NA from Dec 2017 (Median) to 2017, with 1 observations. IT: 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 Italy – Table IT.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 |
|---|---|---|
| 0.764 2017 | yearly | 2017 - 2017 |
View Italy's Italy IT: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Italy IT: Human Capital Index (HCI): Female: Scale 0-1
IT: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.774 NA in 2017. IT: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.774 NA from Dec 2017 (Median) to 2017, with 1 observations. IT: 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 Italy – Table IT.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 |
|---|---|---|
| 0.774 2017 | yearly | 2017 - 2017 |
View Italy's Italy IT: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Italy IT: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
IT: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.784 NA in 2017. IT: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.784 NA from Dec 2017 (Median) to 2017, with 1 observations. IT: 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 Italy – Table IT.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 |
|---|---|---|
| 0.784 2017 | yearly | 2017 - 2017 |
View Italy's Italy IT: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Italy IT: Human Capital Index (HCI): Lower Bound: Scale 0-1
IT: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.759 NA in 2017. IT: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.759 NA from Dec 2017 (Median) to 2017, with 1 observations. IT: 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 Italy – Table IT.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 |
|---|---|---|
| 0.759 2017 | yearly | 2017 - 2017 |
View Italy's Italy IT: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Italy IT: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
IT: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.752 NA in 2017. IT: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.752 NA from Dec 2017 (Median) to 2017, with 1 observations. IT: 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 Italy – Table IT.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 |
|---|---|---|
| 0.752 2017 | yearly | 2017 - 2017 |
View Italy's Italy IT: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Italy IT: Human Capital Index (HCI): Male: Scale 0-1
IT: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.764 NA in 2017. IT: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.764 NA from Dec 2017 (Median) to 2017, with 1 observations. IT: 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 Italy – Table IT.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 |
|---|---|---|
| 0.764 2017 | yearly | 2017 - 2017 |
View Italy's Italy IT: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Italy IT: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
IT: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.775 NA in 2017. IT: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.775 NA from Dec 2017 (Median) to 2017, with 1 observations. IT: 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 Italy – Table IT.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 |
|---|---|---|
| 0.775 2017 | yearly | 2017 - 2017 |
View Italy's Italy IT: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Italy IT: Human Capital Index (HCI): Scale 0-1
IT: Human Capital Index (HCI): Scale 0-1 data was reported at 0.769 NA in 2017. IT: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.769 NA from Dec 2017 (Median) to 2017, with 1 observations. IT: 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 Italy – Table IT.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 |
|---|---|---|
| 0.769 2017 | yearly | 2017 - 2017 |
View Italy's Italy IT: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Italy IT: Human Capital Index (HCI): Upper Bound: Scale 0-1
IT: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.778 NA in 2017. IT: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.778 NA from Dec 2017 (Median) to 2017, with 1 observations. IT: 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 Italy – Table IT.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 |
|---|---|---|
| 0.778 2017 | yearly | 2017 - 2017 |