Peru Human Capital Index
Peru PE: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
PE: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.568 NA in 2017. PE: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.568 NA from Dec 2017 (Median) to 2017, with 1 observations. PE: 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 Peru – Table PE.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 |
|---|---|---|
| 0.568 2017 | yearly | 2017 - 2017 |
View Peru's Peru PE: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Peru PE: Human Capital Index (HCI): Female: Scale 0-1
PE: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.589 NA in 2017. PE: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.589 NA from Dec 2017 (Median) to 2017, with 1 observations. PE: 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 Peru – Table PE.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 |
|---|---|---|
| 0.589 2017 | yearly | 2017 - 2017 |
View Peru's Peru PE: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Peru PE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
PE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.606 NA in 2017. PE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.606 NA from Dec 2017 (Median) to 2017, with 1 observations. PE: 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 Peru – Table PE.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 |
|---|---|---|
| 0.606 2017 | yearly | 2017 - 2017 |
View Peru's Peru PE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Peru PE: Human Capital Index (HCI): Lower Bound: Scale 0-1
PE: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.569 NA in 2017. PE: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.569 NA from Dec 2017 (Median) to 2017, with 1 observations. PE: 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 Peru – Table PE.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 |
|---|---|---|
| 0.569 2017 | yearly | 2017 - 2017 |
View Peru's Peru PE: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Peru PE: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
PE: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.539 NA in 2017. PE: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.539 NA from Dec 2017 (Median) to 2017, with 1 observations. PE: 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 Peru – Table PE.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 |
|---|---|---|
| 0.539 2017 | yearly | 2017 - 2017 |
View Peru's Peru PE: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Peru PE: Human Capital Index (HCI): Male: Scale 0-1
PE: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.563 NA in 2017. PE: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.563 NA from Dec 2017 (Median) to 2017, with 1 observations. PE: 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 Peru – Table PE.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 |
|---|---|---|
| 0.563 2017 | yearly | 2017 - 2017 |
View Peru's Peru PE: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Peru PE: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
PE: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.586 NA in 2017. PE: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.586 NA from Dec 2017 (Median) to 2017, with 1 observations. PE: 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 Peru – Table PE.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 |
|---|---|---|
| 0.586 2017 | yearly | 2017 - 2017 |
View Peru's Peru PE: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Peru PE: Human Capital Index (HCI): Scale 0-1
PE: Human Capital Index (HCI): Scale 0-1 data was reported at 0.586 NA in 2017. PE: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.586 NA from Dec 2017 (Median) to 2017, with 1 observations. PE: 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 Peru – Table PE.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 |
|---|---|---|
| 0.586 2017 | yearly | 2017 - 2017 |
View Peru's Peru PE: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Peru PE: Human Capital Index (HCI): Upper Bound: Scale 0-1
PE: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.601 NA in 2017. PE: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.601 NA from Dec 2017 (Median) to 2017, with 1 observations. PE: 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 Peru – Table PE.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 |
|---|---|---|
| 0.601 2017 | yearly | 2017 - 2017 |