Madagascar Human Capital Index
Madagascar MG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
MG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.365 NA in 2017. MG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.365 NA from Dec 2017 (Median) to 2017, with 1 observations. MG: 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 Madagascar – Table MG.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 |
|---|---|---|
| 0.365 2017 | yearly | 2017 - 2017 |
View Madagascar's Madagascar MG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Madagascar MG: Human Capital Index (HCI): Female: Scale 0-1
MG: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.391 NA in 2017. MG: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.391 NA from Dec 2017 (Median) to 2017, with 1 observations. MG: 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 Madagascar – Table MG.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 |
|---|---|---|
| 0.391 2017 | yearly | 2017 - 2017 |
View Madagascar's Madagascar MG: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Madagascar MG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
MG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.416 NA in 2017. MG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.416 NA from Dec 2017 (Median) to 2017, with 1 observations. MG: 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 Madagascar – Table MG.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 |
|---|---|---|
| 0.416 2017 | yearly | 2017 - 2017 |
View Madagascar's Madagascar MG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Madagascar MG: Human Capital Index (HCI): Lower Bound: Scale 0-1
MG: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.353 NA in 2017. MG: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.353 NA from Dec 2017 (Median) to 2017, with 1 observations. MG: 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 Madagascar – Table MG.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 |
|---|---|---|
| 0.353 2017 | yearly | 2017 - 2017 |
View Madagascar's Madagascar MG: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Madagascar MG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
MG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.343 NA in 2017. MG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.343 NA from Dec 2017 (Median) to 2017, with 1 observations. MG: 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 Madagascar – Table MG.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 |
|---|---|---|
| 0.343 2017 | yearly | 2017 - 2017 |
View Madagascar's Madagascar MG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Madagascar MG: Human Capital Index (HCI): Male: Scale 0-1
MG: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.371 NA in 2017. MG: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.371 NA from Dec 2017 (Median) to 2017, with 1 observations. MG: 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 Madagascar – Table MG.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 |
|---|---|---|
| 0.371 2017 | yearly | 2017 - 2017 |
View Madagascar's Madagascar MG: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Madagascar MG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
MG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.396 NA in 2017. MG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.396 NA from Dec 2017 (Median) to 2017, with 1 observations. MG: 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 Madagascar – Table MG.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 |
|---|---|---|
| 0.396 2017 | yearly | 2017 - 2017 |
View Madagascar's Madagascar MG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Madagascar MG: Human Capital Index (HCI): Scale 0-1
MG: Human Capital Index (HCI): Scale 0-1 data was reported at 0.374 NA in 2017. MG: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.374 NA from Dec 2017 (Median) to 2017, with 1 observations. MG: 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 Madagascar – Table MG.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 |
|---|---|---|
| 0.374 2017 | yearly | 2017 - 2017 |
View Madagascar's Madagascar MG: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Madagascar MG: Human Capital Index (HCI): Upper Bound: Scale 0-1
MG: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.393 NA in 2017. MG: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.393 NA from Dec 2017 (Median) to 2017, with 1 observations. MG: 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 Madagascar – Table MG.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 |
|---|---|---|
| 0.393 2017 | yearly | 2017 - 2017 |