Kyrgyzstan Human Capital Index
Kyrgyzstan KG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
KG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.592 NA in 2017. KG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.592 NA from Dec 2017 (Median) to 2017, with 1 observations. KG: 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 Kyrgyzstan – Table KG.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 |
|---|---|---|
| 0.592 2017 | yearly | 2017 - 2017 |
View Kyrgyzstan's Kyrgyzstan KG: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Kyrgyzstan KG: Human Capital Index (HCI): Female: Scale 0-1
KG: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.603 NA in 2017. KG: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.603 NA from Dec 2017 (Median) to 2017, with 1 observations. KG: 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 Kyrgyzstan – Table KG.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 |
|---|---|---|
| 0.603 2017 | yearly | 2017 - 2017 |
View Kyrgyzstan's Kyrgyzstan KG: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Kyrgyzstan KG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
KG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.615 NA in 2017. KG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.615 NA from Dec 2017 (Median) to 2017, with 1 observations. KG: 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 Kyrgyzstan – Table KG.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 |
|---|---|---|
| 0.615 2017 | yearly | 2017 - 2017 |
View Kyrgyzstan's Kyrgyzstan KG: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Kyrgyzstan KG: Human Capital Index (HCI): Lower Bound: Scale 0-1
KG: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.567 NA in 2017. KG: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.567 NA from Dec 2017 (Median) to 2017, with 1 observations. KG: 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 Kyrgyzstan – Table KG.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 |
|---|---|---|
| 0.567 2017 | yearly | 2017 - 2017 |
View Kyrgyzstan's Kyrgyzstan KG: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Kyrgyzstan KG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
KG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.544 NA in 2017. KG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.544 NA from Dec 2017 (Median) to 2017, with 1 observations. KG: 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 Kyrgyzstan – Table KG.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 |
|---|---|---|
| 0.544 2017 | yearly | 2017 - 2017 |
View Kyrgyzstan's Kyrgyzstan KG: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Kyrgyzstan KG: Human Capital Index (HCI): Male: Scale 0-1
KG: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.558 NA in 2017. KG: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.558 NA from Dec 2017 (Median) to 2017, with 1 observations. KG: 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 Kyrgyzstan – Table KG.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 |
|---|---|---|
| 0.558 2017 | yearly | 2017 - 2017 |
View Kyrgyzstan's Kyrgyzstan KG: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Kyrgyzstan KG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
KG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.571 NA in 2017. KG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.571 NA from Dec 2017 (Median) to 2017, with 1 observations. KG: 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 Kyrgyzstan – Table KG.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 |
|---|---|---|
| 0.571 2017 | yearly | 2017 - 2017 |
View Kyrgyzstan's Kyrgyzstan KG: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Kyrgyzstan KG: Human Capital Index (HCI): Scale 0-1
KG: Human Capital Index (HCI): Scale 0-1 data was reported at 0.580 NA in 2017. KG: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.580 NA from Dec 2017 (Median) to 2017, with 1 observations. KG: 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 Kyrgyzstan – Table KG.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 |
|---|---|---|
| 0.580 2017 | yearly | 2017 - 2017 |
View Kyrgyzstan's Kyrgyzstan KG: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Kyrgyzstan KG: Human Capital Index (HCI): Upper Bound: Scale 0-1
KG: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.592 NA in 2017. KG: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.592 NA from Dec 2017 (Median) to 2017, with 1 observations. KG: 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 Kyrgyzstan – Table KG.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 |
|---|---|---|
| 0.592 2017 | yearly | 2017 - 2017 |