Angola Human Capital Index
Angola AO: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
AO: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.325 NA in 2017. AO: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.325 NA from Dec 2017 (Median) to 2017, with 1 observations. AO: 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 Angola – Table AO.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 |
---|---|---|
0.325 2017 | yearly | 2017 - 2017 |
View Angola's Angola AO: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Angola AO: Human Capital Index (HCI): Female: Scale 0-1
AO: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.358 NA in 2017. AO: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.358 NA from Dec 2017 (Median) to 2017, with 1 observations. AO: 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 Angola – Table AO.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 |
---|---|---|
0.358 2017 | yearly | 2017 - 2017 |
View Angola's Angola AO: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Angola AO: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
AO: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.381 NA in 2017. AO: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.381 NA from Dec 2017 (Median) to 2017, with 1 observations. AO: 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 Angola – Table AO.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 |
---|---|---|
0.381 2017 | yearly | 2017 - 2017 |
View Angola's Angola AO: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Angola AO: Human Capital Index (HCI): Lower Bound: Scale 0-1
AO: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.326 NA in 2017. AO: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.326 NA from Dec 2017 (Median) to 2017, with 1 observations. AO: 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 Angola – Table AO.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 |
---|---|---|
0.326 2017 | yearly | 2017 - 2017 |
View Angola's Angola AO: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Angola AO: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
AO: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.326 NA in 2017. AO: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.326 NA from Dec 2017 (Median) to 2017, with 1 observations. AO: 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 Angola – Table AO.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 |
---|---|---|
0.326 2017 | yearly | 2017 - 2017 |
View Angola's Angola AO: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Angola AO: Human Capital Index (HCI): Male: Scale 0-1
AO: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.365 NA in 2017. AO: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.365 NA from Dec 2017 (Median) to 2017, with 1 observations. AO: 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 Angola – Table AO.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 |
---|---|---|
0.365 2017 | yearly | 2017 - 2017 |
View Angola's Angola AO: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Angola AO: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
AO: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.394 NA in 2017. AO: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.394 NA from Dec 2017 (Median) to 2017, with 1 observations. AO: 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 Angola – Table AO.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 |
---|---|---|
0.394 2017 | yearly | 2017 - 2017 |
View Angola's Angola AO: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Angola AO: Human Capital Index (HCI): Scale 0-1
AO: Human Capital Index (HCI): Scale 0-1 data was reported at 0.361 NA in 2017. AO: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.361 NA from Dec 2017 (Median) to 2017, with 1 observations. AO: 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 Angola – Table AO.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 |
---|---|---|
0.361 2017 | yearly | 2017 - 2017 |
View Angola's Angola AO: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Angola AO: Human Capital Index (HCI): Upper Bound: Scale 0-1
AO: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.387 NA in 2017. AO: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.387 NA from Dec 2017 (Median) to 2017, with 1 observations. AO: 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 Angola – Table AO.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 |
---|---|---|
0.387 2017 | yearly | 2017 - 2017 |