Philippines Human Capital Index
Philippines PH: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
PH: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.566 NA in 2017. PH: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.566 NA from Dec 2017 (Median) to 2017, with 1 observations. PH: 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 Philippines – Table PH.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 |
|---|---|---|
| 0.566 2017 | yearly | 2017 - 2017 |
View Philippines's Philippines PH: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Philippines PH: Human Capital Index (HCI): Female: Scale 0-1
PH: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.579 NA in 2017. PH: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.579 NA from Dec 2017 (Median) to 2017, with 1 observations. PH: 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 Philippines – Table PH.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 |
|---|---|---|
| 0.579 2017 | yearly | 2017 - 2017 |
View Philippines's Philippines PH: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Philippines PH: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
PH: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.604 NA in 2017. PH: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.604 NA from Dec 2017 (Median) to 2017, with 1 observations. PH: 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 Philippines – Table PH.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 |
|---|---|---|
| 0.604 2017 | yearly | 2017 - 2017 |
View Philippines's Philippines PH: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Philippines PH: Human Capital Index (HCI): Lower Bound: Scale 0-1
PH: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.530 NA in 2017. PH: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.530 NA from Dec 2017 (Median) to 2017, with 1 observations. PH: 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 Philippines – Table PH.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 |
|---|---|---|
| 0.530 2017 | yearly | 2017 - 2017 |
View Philippines's Philippines PH: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Philippines PH: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
PH: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.483 NA in 2017. PH: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.483 NA from Dec 2017 (Median) to 2017, with 1 observations. PH: 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 Philippines – Table PH.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 |
|---|---|---|
| 0.483 2017 | yearly | 2017 - 2017 |
View Philippines's Philippines PH: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Philippines PH: Human Capital Index (HCI): Male: Scale 0-1
PH: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.521 NA in 2017. PH: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.521 NA from Dec 2017 (Median) to 2017, with 1 observations. PH: 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 Philippines – Table PH.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 |
|---|---|---|
| 0.521 2017 | yearly | 2017 - 2017 |
View Philippines's Philippines PH: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Philippines PH: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
PH: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.530 NA in 2017. PH: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.530 NA from Dec 2017 (Median) to 2017, with 1 observations. PH: 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 Philippines – Table PH.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 |
|---|---|---|
| 0.530 2017 | yearly | 2017 - 2017 |
View Philippines's Philippines PH: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Philippines PH: Human Capital Index (HCI): Scale 0-1
PH: Human Capital Index (HCI): Scale 0-1 data was reported at 0.548 NA in 2017. PH: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.548 NA from Dec 2017 (Median) to 2017, with 1 observations. PH: 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 Philippines – Table PH.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 |
|---|---|---|
| 0.548 2017 | yearly | 2017 - 2017 |
View Philippines's Philippines PH: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Philippines PH: Human Capital Index (HCI): Upper Bound: Scale 0-1
PH: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.564 NA in 2017. PH: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.564 NA from Dec 2017 (Median) to 2017, with 1 observations. PH: 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 Philippines – Table PH.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 |
|---|---|---|
| 0.564 2017 | yearly | 2017 - 2017 |