Chad Human Capital Index
Chad TD: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
TD: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.274 NA in 2017. TD: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.274 NA from Dec 2017 (Median) to 2017, with 1 observations. TD: 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 Chad – Table TD.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 |
---|---|---|
0.274 2017 | yearly | 2017 - 2017 |
View Chad's Chad TD: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Chad TD: Human Capital Index (HCI): Female: Scale 0-1
TD: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.289 NA in 2017. TD: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.289 NA from Dec 2017 (Median) to 2017, with 1 observations. TD: 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 Chad – Table TD.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 |
---|---|---|
0.289 2017 | yearly | 2017 - 2017 |
View Chad's Chad TD: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Chad TD: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
TD: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.303 NA in 2017. TD: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.303 NA from Dec 2017 (Median) to 2017, with 1 observations. TD: 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 Chad – Table TD.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 |
---|---|---|
0.303 2017 | yearly | 2017 - 2017 |
View Chad's Chad TD: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Chad TD: Human Capital Index (HCI): Lower Bound: Scale 0-1
TD: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.278 NA in 2017. TD: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.278 NA from Dec 2017 (Median) to 2017, with 1 observations. TD: 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 Chad – Table TD.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 |
---|---|---|
0.278 2017 | yearly | 2017 - 2017 |
View Chad's Chad TD: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Chad TD: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
TD: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.280 NA in 2017. TD: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.280 NA from Dec 2017 (Median) to 2017, with 1 observations. TD: 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 Chad – Table TD.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 |
---|---|---|
0.280 2017 | yearly | 2017 - 2017 |
View Chad's Chad TD: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Chad TD: Human Capital Index (HCI): Male: Scale 0-1
TD: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.298 NA in 2017. TD: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.298 NA from Dec 2017 (Median) to 2017, with 1 observations. TD: 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 Chad – Table TD.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 |
---|---|---|
0.298 2017 | yearly | 2017 - 2017 |
View Chad's Chad TD: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Chad TD: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
TD: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.315 NA in 2017. TD: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.315 NA from Dec 2017 (Median) to 2017, with 1 observations. TD: 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 Chad – Table TD.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 |
---|---|---|
0.315 2017 | yearly | 2017 - 2017 |
View Chad's Chad TD: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Chad TD: Human Capital Index (HCI): Scale 0-1
TD: Human Capital Index (HCI): Scale 0-1 data was reported at 0.293 NA in 2017. TD: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.293 NA from Dec 2017 (Median) to 2017, with 1 observations. TD: 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 Chad – Table TD.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 |
---|---|---|
0.293 2017 | yearly | 2017 - 2017 |
View Chad's Chad TD: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Chad TD: Human Capital Index (HCI): Upper Bound: Scale 0-1
TD: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.309 NA in 2017. TD: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.309 NA from Dec 2017 (Median) to 2017, with 1 observations. TD: 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 Chad – Table TD.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 |
---|---|---|
0.309 2017 | yearly | 2017 - 2017 |