Nigeria Human Capital Index
Nigeria NG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
NG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.316 NA in 2017. NG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.316 NA from Dec 2017 (Median) to 2017, with 1 observations. NG: 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 Nigeria – Table NG.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 |
|---|---|---|
| 0.316 2017 | yearly | 2017 - 2017 |
View Nigeria's Nigeria NG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Nigeria NG: Human Capital Index (HCI): Female: Scale 0-1
NG: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.338 NA in 2017. NG: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.338 NA from Dec 2017 (Median) to 2017, with 1 observations. NG: 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 Nigeria – Table NG.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 |
|---|---|---|
| 0.338 2017 | yearly | 2017 - 2017 |
View Nigeria's Nigeria NG: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Nigeria NG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
NG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.358 NA in 2017. NG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.358 NA from Dec 2017 (Median) to 2017, with 1 observations. NG: 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 Nigeria – Table NG.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 |
|---|---|---|
| 0.358 2017 | yearly | 2017 - 2017 |
View Nigeria's Nigeria NG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Nigeria NG: Human Capital Index (HCI): Lower Bound: Scale 0-1
NG: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.318 NA in 2017. NG: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.318 NA from Dec 2017 (Median) to 2017, with 1 observations. NG: 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 Nigeria – Table NG.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 |
|---|---|---|
| 0.318 2017 | yearly | 2017 - 2017 |
View Nigeria's Nigeria NG: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Nigeria NG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
NG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.320 NA in 2017. NG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.320 NA from Dec 2017 (Median) to 2017, with 1 observations. NG: 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 Nigeria – Table NG.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 |
|---|---|---|
| 0.320 2017 | yearly | 2017 - 2017 |
View Nigeria's Nigeria NG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Nigeria NG: Human Capital Index (HCI): Male: Scale 0-1
NG: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.345 NA in 2017. NG: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.345 NA from Dec 2017 (Median) to 2017, with 1 observations. NG: 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 Nigeria – Table NG.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 |
|---|---|---|
| 0.345 2017 | yearly | 2017 - 2017 |
View Nigeria's Nigeria NG: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Nigeria NG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
NG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.365 NA in 2017. NG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.365 NA from Dec 2017 (Median) to 2017, with 1 observations. NG: 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 Nigeria – Table NG.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 |
|---|---|---|
| 0.365 2017 | yearly | 2017 - 2017 |
View Nigeria's Nigeria NG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Nigeria NG: Human Capital Index (HCI): Scale 0-1
NG: Human Capital Index (HCI): Scale 0-1 data was reported at 0.342 NA in 2017. NG: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.342 NA from Dec 2017 (Median) to 2017, with 1 observations. NG: 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 Nigeria – Table NG.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 |
|---|---|---|
| 0.342 2017 | yearly | 2017 - 2017 |
View Nigeria's Nigeria NG: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Nigeria NG: Human Capital Index (HCI): Upper Bound: Scale 0-1
NG: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.361 NA in 2017. NG: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.361 NA from Dec 2017 (Median) to 2017, with 1 observations. NG: 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 Nigeria – Table NG.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 |
|---|---|---|
| 0.361 2017 | yearly | 2017 - 2017 |