Mali Human Capital Index
Mali ML: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
ML: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.286 NA in 2017. ML: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.286 NA from Dec 2017 (Median) to 2017, with 1 observations. ML: 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 Mali – Table ML.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 |
|---|---|---|
| 0.286 2017 | yearly | 2017 - 2017 |
View Mali's Mali ML: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Mali ML: Human Capital Index (HCI): Female: Scale 0-1
ML: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.315 NA in 2017. ML: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.315 NA from Dec 2017 (Median) to 2017, with 1 observations. ML: 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 Mali – Table ML.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 |
|---|---|---|
| 0.315 2017 | yearly | 2017 - 2017 |
View Mali's Mali ML: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Mali ML: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
ML: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.337 NA in 2017. ML: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.337 NA from Dec 2017 (Median) to 2017, with 1 observations. ML: 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 Mali – Table ML.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 |
|---|---|---|
| 0.337 2017 | yearly | 2017 - 2017 |
View Mali's Mali ML: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Mali ML: Human Capital Index (HCI): Lower Bound: Scale 0-1
ML: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.286 NA in 2017. ML: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.286 NA from Dec 2017 (Median) to 2017, with 1 observations. ML: 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 Mali – Table ML.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 |
|---|---|---|
| 0.286 2017 | yearly | 2017 - 2017 |
View Mali's Mali ML: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Mali ML: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
ML: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.286 NA in 2017. ML: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.286 NA from Dec 2017 (Median) to 2017, with 1 observations. ML: 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 Mali – Table ML.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 |
|---|---|---|
| 0.286 2017 | yearly | 2017 - 2017 |
View Mali's Mali ML: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Mali ML: Human Capital Index (HCI): Male: Scale 0-1
ML: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.318 NA in 2017. ML: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.318 NA from Dec 2017 (Median) to 2017, with 1 observations. ML: 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 Mali – Table ML.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 |
|---|---|---|
| 0.318 2017 | yearly | 2017 - 2017 |
View Mali's Mali ML: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Mali ML: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
ML: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.341 NA in 2017. ML: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.341 NA from Dec 2017 (Median) to 2017, with 1 observations. ML: 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 Mali – Table ML.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 |
|---|---|---|
| 0.341 2017 | yearly | 2017 - 2017 |
View Mali's Mali ML: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Mali ML: Human Capital Index (HCI): Scale 0-1
ML: Human Capital Index (HCI): Scale 0-1 data was reported at 0.317 NA in 2017. ML: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.317 NA from Dec 2017 (Median) to 2017, with 1 observations. ML: 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 Mali – Table ML.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 |
|---|---|---|
| 0.317 2017 | yearly | 2017 - 2017 |
View Mali's Mali ML: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Mali ML: Human Capital Index (HCI): Upper Bound: Scale 0-1
ML: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.339 NA in 2017. ML: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.339 NA from Dec 2017 (Median) to 2017, with 1 observations. ML: 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 Mali – Table ML.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 |
|---|---|---|
| 0.339 2017 | yearly | 2017 - 2017 |