Georgia Human Capital Index
Georgia GE: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
GE: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.625 NA in 2017. GE: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.625 NA from Dec 2017 (Median) to 2017, with 1 observations. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.625 2017 | yearly | 2017 - 2017 |
View Georgia's Georgia GE: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Georgia GE: Human Capital Index (HCI): Female: Scale 0-1
GE: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.643 NA in 2017. GE: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.643 NA from Dec 2017 (Median) to 2017, with 1 observations. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.643 2017 | yearly | 2017 - 2017 |
View Georgia's Georgia GE: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Georgia GE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
GE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.659 NA in 2017. GE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.659 NA from Dec 2017 (Median) to 2017, with 1 observations. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.659 2017 | yearly | 2017 - 2017 |
View Georgia's Georgia GE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Georgia GE: Human Capital Index (HCI): Lower Bound: Scale 0-1
GE: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.596 NA in 2017. GE: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.596 NA from Dec 2017 (Median) to 2017, with 1 observations. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.596 2017 | yearly | 2017 - 2017 |
View Georgia's Georgia GE: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Georgia GE: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
GE: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.524 NA in 2017. GE: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.524 NA from Dec 2017 (Median) to 2017, with 1 observations. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.524 2017 | yearly | 2017 - 2017 |
View Georgia's Georgia GE: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Georgia GE: Human Capital Index (HCI): Male: Scale 0-1
GE: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.554 NA in 2017. GE: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.554 NA from Dec 2017 (Median) to 2017, with 1 observations. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.554 2017 | yearly | 2017 - 2017 |
View Georgia's Georgia GE: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Georgia GE: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
GE: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.581 NA in 2017. GE: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.581 NA from Dec 2017 (Median) to 2017, with 1 observations. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.581 2017 | yearly | 2017 - 2017 |
View Georgia's Georgia GE: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Georgia GE: Human Capital Index (HCI): Scale 0-1
GE: Human Capital Index (HCI): Scale 0-1 data was reported at 0.614 NA in 2017. GE: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.614 NA from Dec 2017 (Median) to 2017, with 1 observations. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.614 2017 | yearly | 2017 - 2017 |
View Georgia's Georgia GE: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Georgia GE: Human Capital Index (HCI): Upper Bound: Scale 0-1
GE: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.629 NA in 2017. GE: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.629 NA from Dec 2017 (Median) to 2017, with 1 observations. GE: 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 Georgia – Table GE.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 |
|---|---|---|
| 0.629 2017 | yearly | 2017 - 2017 |