Pakistan Human Capital Index
Pakistan PK: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
PK: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.366 NA in 2017. PK: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.366 NA from Dec 2017 (Median) to 2017, with 1 observations. PK: 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 Pakistan – Table PK.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 |
---|---|---|
0.366 2017 | yearly | 2017 - 2017 |
View Pakistan's Pakistan PK: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Pakistan PK: Human Capital Index (HCI): Female: Scale 0-1
PK: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.384 NA in 2017. PK: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.384 NA from Dec 2017 (Median) to 2017, with 1 observations. PK: 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 Pakistan – Table PK.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 |
---|---|---|
0.384 2017 | yearly | 2017 - 2017 |
View Pakistan's Pakistan PK: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Pakistan PK: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
PK: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.398 NA in 2017. PK: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.398 NA from Dec 2017 (Median) to 2017, with 1 observations. PK: 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 Pakistan – Table PK.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 |
---|---|---|
0.398 2017 | yearly | 2017 - 2017 |
View Pakistan's Pakistan PK: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Pakistan PK: Human Capital Index (HCI): Lower Bound: Scale 0-1
PK: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.370 NA in 2017. PK: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.370 NA from Dec 2017 (Median) to 2017, with 1 observations. PK: 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 Pakistan – Table PK.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 |
---|---|---|
0.370 2017 | yearly | 2017 - 2017 |
View Pakistan's Pakistan PK: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Pakistan PK: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
PK: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.372 NA in 2017. PK: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.372 NA from Dec 2017 (Median) to 2017, with 1 observations. PK: 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 Pakistan – Table PK.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 |
---|---|---|
0.372 2017 | yearly | 2017 - 2017 |
View Pakistan's Pakistan PK: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Pakistan PK: Human Capital Index (HCI): Male: Scale 0-1
PK: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.393 NA in 2017. PK: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.393 NA from Dec 2017 (Median) to 2017, with 1 observations. PK: 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 Pakistan – Table PK.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 |
---|---|---|
0.393 2017 | yearly | 2017 - 2017 |
View Pakistan's Pakistan PK: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Pakistan PK: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
PK: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.410 NA in 2017. PK: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.410 NA from Dec 2017 (Median) to 2017, with 1 observations. PK: 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 Pakistan – Table PK.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 |
---|---|---|
0.410 2017 | yearly | 2017 - 2017 |
View Pakistan's Pakistan PK: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Pakistan PK: Human Capital Index (HCI): Scale 0-1
PK: Human Capital Index (HCI): Scale 0-1 data was reported at 0.389 NA in 2017. PK: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.389 NA from Dec 2017 (Median) to 2017, with 1 observations. PK: 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 Pakistan – Table PK.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 |
---|---|---|
0.389 2017 | yearly | 2017 - 2017 |
View Pakistan's Pakistan PK: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Pakistan PK: Human Capital Index (HCI): Upper Bound: Scale 0-1
PK: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.404 NA in 2017. PK: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.404 NA from Dec 2017 (Median) to 2017, with 1 observations. PK: 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 Pakistan – Table PK.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 |
---|---|---|
0.404 2017 | yearly | 2017 - 2017 |