Saudi Arabia Human Capital Index
Saudi Arabia SA: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
SA: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.597 NA in 2017. SA: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.597 NA from Dec 2017 (Median) to 2017, with 1 observations. SA: 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 Saudi Arabia – Table SA.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 |
|---|---|---|
| 0.597 2017 | yearly | 2017 - 2017 |
View Saudi Arabia's Saudi Arabia SA: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Saudi Arabia SA: Human Capital Index (HCI): Female: Scale 0-1
SA: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.612 NA in 2017. SA: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.612 NA from Dec 2017 (Median) to 2017, with 1 observations. SA: 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 Saudi Arabia – Table SA.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 |
|---|---|---|
| 0.612 2017 | yearly | 2017 - 2017 |
View Saudi Arabia's Saudi Arabia SA: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Saudi Arabia SA: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
SA: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.625 NA in 2017. SA: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.625 NA from Dec 2017 (Median) to 2017, with 1 observations. SA: 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 Saudi Arabia – Table SA.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 |
|---|---|---|
| 0.625 2017 | yearly | 2017 - 2017 |
View Saudi Arabia's Saudi Arabia SA: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Saudi Arabia SA: Human Capital Index (HCI): Lower Bound: Scale 0-1
SA: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.572 NA in 2017. SA: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.572 NA from Dec 2017 (Median) to 2017, with 1 observations. SA: 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 Saudi Arabia – Table SA.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 |
|---|---|---|
| 0.572 2017 | yearly | 2017 - 2017 |
View Saudi Arabia's Saudi Arabia SA: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Saudi Arabia SA: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
SA: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.544 NA in 2017. SA: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.544 NA from Dec 2017 (Median) to 2017, with 1 observations. SA: 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 Saudi Arabia – Table SA.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 |
|---|---|---|
| 0.544 2017 | yearly | 2017 - 2017 |
View Saudi Arabia's Saudi Arabia SA: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Saudi Arabia SA: Human Capital Index (HCI): Male: Scale 0-1
SA: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.561 NA in 2017. SA: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.561 NA from Dec 2017 (Median) to 2017, with 1 observations. SA: 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 Saudi Arabia – Table SA.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 |
|---|---|---|
| 0.561 2017 | yearly | 2017 - 2017 |
View Saudi Arabia's Saudi Arabia SA: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Saudi Arabia SA: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
SA: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.577 NA in 2017. SA: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.577 NA from Dec 2017 (Median) to 2017, with 1 observations. SA: 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 Saudi Arabia – Table SA.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 |
|---|---|---|
| 0.577 2017 | yearly | 2017 - 2017 |
View Saudi Arabia's Saudi Arabia SA: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Saudi Arabia SA: Human Capital Index (HCI): Scale 0-1
SA: Human Capital Index (HCI): Scale 0-1 data was reported at 0.585 NA in 2017. SA: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.585 NA from Dec 2017 (Median) to 2017, with 1 observations. SA: 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 Saudi Arabia – Table SA.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 |
|---|---|---|
| 0.585 2017 | yearly | 2017 - 2017 |
View Saudi Arabia's Saudi Arabia SA: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Saudi Arabia SA: Human Capital Index (HCI): Upper Bound: Scale 0-1
SA: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.597 NA in 2017. SA: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.597 NA from Dec 2017 (Median) to 2017, with 1 observations. SA: 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 Saudi Arabia – Table SA.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 |
|---|---|---|
| 0.597 2017 | yearly | 2017 - 2017 |