France Human Capital Index
France FR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
FR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.771 NA in 2020. This records an increase from the previous number of 0.763 NA for 2018. FR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.768 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.771 NA in 2020 and a record low of 0.763 NA in 2018. FR: 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 France – Table FR.World Bank.WDI: 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 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 Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;
| Last | Frequency | Range |
|---|---|---|
| 0.771 2020 | yearly | 2010 - 2020 |
View France's France FR: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2010 to 2020 in the chart:
France FR: Human Capital Index (HCI): Female: Scale 0-1
FR: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.781 NA in 2020. This records an increase from the previous number of 0.773 NA for 2018. FR: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.778 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.781 NA in 2020 and a record low of 0.773 NA in 2018. FR: 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 France – Table FR.World Bank.WDI: 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 |
|---|---|---|
| 0.781 2020 | yearly | 2010 - 2020 |
View France's France FR: Human Capital Index (HCI): Female: Scale 0-1 from 2010 to 2020 in the chart:
France FR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
FR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.791 NA in 2020. This records an increase from the previous number of 0.783 NA for 2018. FR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.787 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.791 NA in 2020 and a record low of 0.783 NA in 2018. FR: 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 France – Table FR.World Bank.WDI: 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 Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;
| Last | Frequency | Range |
|---|---|---|
| 0.791 2020 | yearly | 2010 - 2020 |
View France's France FR: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2010 to 2020 in the chart:
France FR: Human Capital Index (HCI): Lower Bound: Scale 0-1
FR: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.755 NA in 2017. FR: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.755 NA from Dec 2017 (Median) to 2017, with 1 observations. FR: 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 France – Table FR.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 |
|---|---|---|
| 0.755 2017 | yearly | 2017 - 2017 |
View France's France FR: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
France FR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
FR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.734 NA in 2020. This records an increase from the previous number of 0.728 NA for 2018. FR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.728 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.734 NA in 2020 and a record low of 0.725 NA in 2010. FR: 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 France – Table FR.World Bank.WDI: 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 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 Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;
| Last | Frequency | Range |
|---|---|---|
| 0.734 2020 | yearly | 2010 - 2020 |
View France's France FR: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2010 to 2020 in the chart:
France FR: Human Capital Index (HCI): Male: Scale 0-1
FR: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.745 NA in 2020. This records an increase from the previous number of 0.739 NA for 2018. FR: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.739 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.745 NA in 2020 and a record low of 0.737 NA in 2010. FR: 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 France – Table FR.World Bank.WDI: 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 |
|---|---|---|
| 0.745 2020 | yearly | 2010 - 2020 |
View France's France FR: Human Capital Index (HCI): Male: Scale 0-1 from 2010 to 2020 in the chart:
France FR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
FR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.755 NA in 2020. This records an increase from the previous number of 0.750 NA for 2018. FR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.750 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.755 NA in 2020 and a record low of 0.748 NA in 2010. FR: 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 France – Table FR.World Bank.WDI: 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 Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;
| Last | Frequency | Range |
|---|---|---|
| 0.755 2020 | yearly | 2010 - 2020 |
View France's France FR: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2010 to 2020 in the chart:
France FR: Human Capital Index (HCI): Scale 0-1
FR: Human Capital Index (HCI): Scale 0-1 data was reported at 0.765 NA in 2017. FR: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.765 NA from Dec 2017 (Median) to 2017, with 1 observations. FR: 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 France – Table FR.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 |
|---|---|---|
| 0.765 2017 | yearly | 2017 - 2017 |
View France's France FR: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
France FR: Human Capital Index (HCI): Upper Bound: Scale 0-1
FR: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.774 NA in 2017. FR: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.774 NA from Dec 2017 (Median) to 2017, with 1 observations. FR: 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 France – Table FR.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 |
|---|---|---|
| 0.774 2017 | yearly | 2017 - 2017 |