Ghana Human Capital Index
Ghana GH: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
GH: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.431 NA in 2017. GH: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.431 NA from Dec 2017 (Median) to 2017, with 1 observations. GH: 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 Ghana – Table GH.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 |
|---|---|---|
| 0.431 2017 | yearly | 2017 - 2017 |
View Ghana's Ghana GH: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Ghana GH: Human Capital Index (HCI): Female: Scale 0-1
GH: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.446 NA in 2017. GH: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.446 NA from Dec 2017 (Median) to 2017, with 1 observations. GH: 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 Ghana – Table GH.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 |
|---|---|---|
| 0.446 2017 | yearly | 2017 - 2017 |
View Ghana's Ghana GH: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Ghana GH: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
GH: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.459 NA in 2017. GH: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.459 NA from Dec 2017 (Median) to 2017, with 1 observations. GH: 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 Ghana – Table GH.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 |
|---|---|---|
| 0.459 2017 | yearly | 2017 - 2017 |
View Ghana's Ghana GH: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Ghana GH: Human Capital Index (HCI): Lower Bound: Scale 0-1
GH: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.424 NA in 2017. GH: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.424 NA from Dec 2017 (Median) to 2017, with 1 observations. GH: 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 Ghana – Table GH.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 |
|---|---|---|
| 0.424 2017 | yearly | 2017 - 2017 |
View Ghana's Ghana GH: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Ghana GH: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
GH: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.416 NA in 2017. GH: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.416 NA from Dec 2017 (Median) to 2017, with 1 observations. GH: 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 Ghana – Table GH.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 |
|---|---|---|
| 0.416 2017 | yearly | 2017 - 2017 |
View Ghana's Ghana GH: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Ghana GH: Human Capital Index (HCI): Male: Scale 0-1
GH: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.432 NA in 2017. GH: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.432 NA from Dec 2017 (Median) to 2017, with 1 observations. GH: 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 Ghana – Table GH.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 |
|---|---|---|
| 0.432 2017 | yearly | 2017 - 2017 |
View Ghana's Ghana GH: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Ghana GH: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
GH: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.445 NA in 2017. GH: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.445 NA from Dec 2017 (Median) to 2017, with 1 observations. GH: 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 Ghana – Table GH.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 |
|---|---|---|
| 0.445 2017 | yearly | 2017 - 2017 |
View Ghana's Ghana GH: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Ghana GH: Human Capital Index (HCI): Scale 0-1
GH: Human Capital Index (HCI): Scale 0-1 data was reported at 0.439 NA in 2017. GH: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.439 NA from Dec 2017 (Median) to 2017, with 1 observations. GH: 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 Ghana – Table GH.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 |
|---|---|---|
| 0.439 2017 | yearly | 2017 - 2017 |
View Ghana's Ghana GH: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Ghana GH: Human Capital Index (HCI): Upper Bound: Scale 0-1
GH: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.452 NA in 2017. GH: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.452 NA from Dec 2017 (Median) to 2017, with 1 observations. GH: 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 Ghana – Table GH.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 |
|---|---|---|
| 0.452 2017 | yearly | 2017 - 2017 |