Egypt Human Capital Index
Egypt EG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
EG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.490 NA in 2017. EG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.490 NA from Dec 2017 (Median) to 2017, with 1 observations. EG: 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 Egypt – Table EG.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 |
|---|---|---|
| 0.490 2017 | yearly | 2017 - 2017 |
View Egypt's Egypt EG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Egypt EG: Human Capital Index (HCI): Female: Scale 0-1
EG: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.505 NA in 2017. EG: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.505 NA from Dec 2017 (Median) to 2017, with 1 observations. EG: 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 Egypt – Table EG.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 |
|---|---|---|
| 0.505 2017 | yearly | 2017 - 2017 |
View Egypt's Egypt EG: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Egypt EG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
EG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.520 NA in 2017. EG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.520 NA from Dec 2017 (Median) to 2017, with 1 observations. EG: 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 Egypt – Table EG.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 |
|---|---|---|
| 0.520 2017 | yearly | 2017 - 2017 |
View Egypt's Egypt EG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Egypt EG: Human Capital Index (HCI): Lower Bound: Scale 0-1
EG: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.471 NA in 2017. EG: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.471 NA from Dec 2017 (Median) to 2017, with 1 observations. EG: 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 Egypt – Table EG.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 |
|---|---|---|
| 0.471 2017 | yearly | 2017 - 2017 |
View Egypt's Egypt EG: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Egypt EG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
EG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.451 NA in 2017. EG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.451 NA from Dec 2017 (Median) to 2017, with 1 observations. EG: 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 Egypt – Table EG.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 |
|---|---|---|
| 0.451 2017 | yearly | 2017 - 2017 |
View Egypt's Egypt EG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Egypt EG: Human Capital Index (HCI): Male: Scale 0-1
EG: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.468 NA in 2017. EG: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.468 NA from Dec 2017 (Median) to 2017, with 1 observations. EG: 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 Egypt – Table EG.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 |
|---|---|---|
| 0.468 2017 | yearly | 2017 - 2017 |
View Egypt's Egypt EG: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Egypt EG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
EG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.485 NA in 2017. EG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.485 NA from Dec 2017 (Median) to 2017, with 1 observations. EG: 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 Egypt – Table EG.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 |
|---|---|---|
| 0.485 2017 | yearly | 2017 - 2017 |
View Egypt's Egypt EG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Egypt EG: Human Capital Index (HCI): Scale 0-1
EG: Human Capital Index (HCI): Scale 0-1 data was reported at 0.486 NA in 2017. EG: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.486 NA from Dec 2017 (Median) to 2017, with 1 observations. EG: 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 Egypt – Table EG.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 |
|---|---|---|
| 0.486 2017 | yearly | 2017 - 2017 |
View Egypt's Egypt EG: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Egypt EG: Human Capital Index (HCI): Upper Bound: Scale 0-1
EG: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.500 NA in 2017. EG: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.500 NA from Dec 2017 (Median) to 2017, with 1 observations. EG: 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 Egypt – Table EG.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 |
|---|---|---|
| 0.500 2017 | yearly | 2017 - 2017 |