Finland Human Capital Index
Finland FI: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
FI: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.838 NA in 2017. FI: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.838 NA from Dec 2017 (Median) to 2017, with 1 observations. FI: 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 Finland – Table FI.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 |
|---|---|---|
| 0.838 2017 | yearly | 2017 - 2017 |
View Finland's Finland FI: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Finland FI: Human Capital Index (HCI): Female: Scale 0-1
FI: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.848 NA in 2017. FI: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.848 NA from Dec 2017 (Median) to 2017, with 1 observations. FI: 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 Finland – Table FI.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 |
|---|---|---|
| 0.848 2017 | yearly | 2017 - 2017 |
View Finland's Finland FI: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Finland FI: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
FI: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.857 NA in 2017. FI: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.857 NA from Dec 2017 (Median) to 2017, with 1 observations. FI: 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 Finland – Table FI.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 |
|---|---|---|
| 0.857 2017 | yearly | 2017 - 2017 |
View Finland's Finland FI: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Finland FI: Human Capital Index (HCI): Lower Bound: Scale 0-1
FI: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.804 NA in 2017. FI: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.804 NA from Dec 2017 (Median) to 2017, with 1 observations. FI: 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 Finland – Table FI.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 |
|---|---|---|
| 0.804 2017 | yearly | 2017 - 2017 |
View Finland's Finland FI: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Finland FI: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
FI: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.772 NA in 2017. FI: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.772 NA from Dec 2017 (Median) to 2017, with 1 observations. FI: 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 Finland – Table FI.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 |
|---|---|---|
| 0.772 2017 | yearly | 2017 - 2017 |
View Finland's Finland FI: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Finland FI: Human Capital Index (HCI): Male: Scale 0-1
FI: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.784 NA in 2017. FI: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.784 NA from Dec 2017 (Median) to 2017, with 1 observations. FI: 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 Finland – Table FI.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 |
|---|---|---|
| 0.784 2017 | yearly | 2017 - 2017 |
View Finland's Finland FI: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Finland FI: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
FI: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.796 NA in 2017. FI: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.796 NA from Dec 2017 (Median) to 2017, with 1 observations. FI: 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 Finland – Table FI.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 |
|---|---|---|
| 0.796 2017 | yearly | 2017 - 2017 |
View Finland's Finland FI: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Finland FI: Human Capital Index (HCI): Scale 0-1
FI: Human Capital Index (HCI): Scale 0-1 data was reported at 0.814 NA in 2017. FI: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.814 NA from Dec 2017 (Median) to 2017, with 1 observations. FI: 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 Finland – Table FI.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 |
|---|---|---|
| 0.814 2017 | yearly | 2017 - 2017 |
View Finland's Finland FI: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Finland FI: Human Capital Index (HCI): Upper Bound: Scale 0-1
FI: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.825 NA in 2017. FI: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.825 NA from Dec 2017 (Median) to 2017, with 1 observations. FI: 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 Finland – Table FI.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 |
|---|---|---|
| 0.825 2017 | yearly | 2017 - 2017 |