Congo Human Capital Index
Congo CG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
CG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.382 NA in 2017. CG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.382 NA from Dec 2017 (Median) to 2017, with 1 observations. CG: 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 Congo – Table CG.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 |
|---|---|---|
| 0.382 2017 | yearly | 2017 - 2017 |
View Congo's Congo CG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Congo CG: Human Capital Index (HCI): Female: Scale 0-1
CG: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.411 NA in 2017. CG: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.411 NA from Dec 2017 (Median) to 2017, with 1 observations. CG: 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 Congo – Table CG.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 |
|---|---|---|
| 0.411 2017 | yearly | 2017 - 2017 |
View Congo's Congo CG: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Congo CG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
CG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.438 NA in 2017. CG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.438 NA from Dec 2017 (Median) to 2017, with 1 observations. CG: 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 Congo – Table CG.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 |
|---|---|---|
| 0.438 2017 | yearly | 2017 - 2017 |
View Congo's Congo CG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Congo CG: Human Capital Index (HCI): Lower Bound: Scale 0-1
CG: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.394 NA in 2017. CG: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.394 NA from Dec 2017 (Median) to 2017, with 1 observations. CG: 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 Congo – Table CG.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 |
|---|---|---|
| 0.394 2017 | yearly | 2017 - 2017 |
View Congo's Congo CG: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Congo CG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
CG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.361 NA in 2017. CG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.361 NA from Dec 2017 (Median) to 2017, with 1 observations. CG: 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 Congo – Table CG.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 |
|---|---|---|
| 0.361 2017 | yearly | 2017 - 2017 |
View Congo's Congo CG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Congo CG: Human Capital Index (HCI): Male: Scale 0-1
CG: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.392 NA in 2017. CG: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.392 NA from Dec 2017 (Median) to 2017, with 1 observations. CG: 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 Congo – Table CG.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 |
|---|---|---|
| 0.392 2017 | yearly | 2017 - 2017 |
View Congo's Congo CG: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Congo CG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
CG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.421 NA in 2017. CG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.421 NA from Dec 2017 (Median) to 2017, with 1 observations. CG: 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 Congo – Table CG.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 |
|---|---|---|
| 0.421 2017 | yearly | 2017 - 2017 |
View Congo's Congo CG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Congo CG: Human Capital Index (HCI): Scale 0-1
CG: Human Capital Index (HCI): Scale 0-1 data was reported at 0.420 NA in 2017. CG: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.420 NA from Dec 2017 (Median) to 2017, with 1 observations. CG: 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 Congo – Table CG.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 |
|---|---|---|
| 0.420 2017 | yearly | 2017 - 2017 |
View Congo's Congo CG: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Congo CG: Human Capital Index (HCI): Upper Bound: Scale 0-1
CG: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.443 NA in 2017. CG: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.443 NA from Dec 2017 (Median) to 2017, with 1 observations. CG: 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 Congo – Table CG.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 |
|---|---|---|
| 0.443 2017 | yearly | 2017 - 2017 |