Liberia Human Capital Index
Liberia LR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
LR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.305 NA in 2017. LR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.305 NA from Dec 2017 (Median) to 2017, with 1 observations. LR: 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 Liberia – Table LR.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 |
|---|---|---|
| 0.305 2017 | yearly | 2017 - 2017 |
View Liberia's Liberia LR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Liberia LR: Human Capital Index (HCI): Female: Scale 0-1
LR: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.325 NA in 2017. LR: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.325 NA from Dec 2017 (Median) to 2017, with 1 observations. LR: 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 Liberia – Table LR.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 |
|---|---|---|
| 0.325 2017 | yearly | 2017 - 2017 |
View Liberia's Liberia LR: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Liberia LR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
LR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.331 NA in 2017. LR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.331 NA from Dec 2017 (Median) to 2017, with 1 observations. LR: 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 Liberia – Table LR.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 |
|---|---|---|
| 0.331 2017 | yearly | 2017 - 2017 |
View Liberia's Liberia LR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Liberia LR: Human Capital Index (HCI): Lower Bound: Scale 0-1
LR: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.305 NA in 2017. LR: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.305 NA from Dec 2017 (Median) to 2017, with 1 observations. LR: 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 Liberia – Table LR.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 |
|---|---|---|
| 0.305 2017 | yearly | 2017 - 2017 |
View Liberia's Liberia LR: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Liberia LR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
LR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.292 NA in 2017. LR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.292 NA from Dec 2017 (Median) to 2017, with 1 observations. LR: 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 Liberia – Table LR.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 |
|---|---|---|
| 0.292 2017 | yearly | 2017 - 2017 |
View Liberia's Liberia LR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Liberia LR: Human Capital Index (HCI): Male: Scale 0-1
LR: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.314 NA in 2017. LR: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.314 NA from Dec 2017 (Median) to 2017, with 1 observations. LR: 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 Liberia – Table LR.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 |
|---|---|---|
| 0.314 2017 | yearly | 2017 - 2017 |
View Liberia's Liberia LR: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Liberia LR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
LR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.320 NA in 2017. LR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.320 NA from Dec 2017 (Median) to 2017, with 1 observations. LR: 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 Liberia – Table LR.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 |
|---|---|---|
| 0.320 2017 | yearly | 2017 - 2017 |
View Liberia's Liberia LR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Liberia LR: Human Capital Index (HCI): Scale 0-1
LR: Human Capital Index (HCI): Scale 0-1 data was reported at 0.319 NA in 2017. LR: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.319 NA from Dec 2017 (Median) to 2017, with 1 observations. LR: 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 Liberia – Table LR.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 |
|---|---|---|
| 0.319 2017 | yearly | 2017 - 2017 |
View Liberia's Liberia LR: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Liberia LR: Human Capital Index (HCI): Upper Bound: Scale 0-1
LR: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.331 NA in 2017. LR: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.331 NA from Dec 2017 (Median) to 2017, with 1 observations. LR: 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 Liberia – Table LR.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 |
|---|---|---|
| 0.331 2017 | yearly | 2017 - 2017 |