Thailand Human Capital Index
Thailand TH: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
TH: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.592 NA in 2017. TH: 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. TH: 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 Thailand – Table TH.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 Thailand's Thailand TH: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Thailand TH: Human Capital Index (HCI): Female: Scale 0-1
TH: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.614 NA in 2017. TH: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.614 NA from Dec 2017 (Median) to 2017, with 1 observations. TH: 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 Thailand – Table TH.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 Thailand's Thailand TH: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Thailand TH: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
TH: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.618 NA in 2017. TH: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.618 NA from Dec 2017 (Median) to 2017, with 1 observations. TH: 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 Thailand – Table TH.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 |
|---|---|---|
| 0.618 2017 | yearly | 2017 - 2017 |
View Thailand's Thailand TH: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Thailand TH: Human Capital Index (HCI): Lower Bound: Scale 0-1
TH: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.589 NA in 2017. TH: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.589 NA from Dec 2017 (Median) to 2017, with 1 observations. TH: 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 Thailand – Table TH.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 |
|---|---|---|
| 0.589 2017 | yearly | 2017 - 2017 |
View Thailand's Thailand TH: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Thailand TH: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
TH: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.546 NA in 2017. TH: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.546 NA from Dec 2017 (Median) to 2017, with 1 observations. TH: 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 Thailand – Table TH.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 |
|---|---|---|
| 0.546 2017 | yearly | 2017 - 2017 |
View Thailand's Thailand TH: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Thailand TH: Human Capital Index (HCI): Male: Scale 0-1
TH: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.591 NA in 2017. TH: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.591 NA from Dec 2017 (Median) to 2017, with 1 observations. TH: 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 Thailand – Table TH.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 |
|---|---|---|
| 0.591 2017 | yearly | 2017 - 2017 |
View Thailand's Thailand TH: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Thailand TH: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
TH: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.584 NA in 2017. TH: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.584 NA from Dec 2017 (Median) to 2017, with 1 observations. TH: 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 Thailand – Table TH.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 |
|---|---|---|
| 0.584 2017 | yearly | 2017 - 2017 |
View Thailand's Thailand TH: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Thailand TH: Human Capital Index (HCI): Scale 0-1
TH: Human Capital Index (HCI): Scale 0-1 data was reported at 0.604 NA in 2017. TH: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.604 NA from Dec 2017 (Median) to 2017, with 1 observations. TH: 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 Thailand – Table TH.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 |
|---|---|---|
| 0.604 2017 | yearly | 2017 - 2017 |
View Thailand's Thailand TH: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Thailand TH: Human Capital Index (HCI): Upper Bound: Scale 0-1
TH: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.617 NA in 2017. TH: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.617 NA from Dec 2017 (Median) to 2017, with 1 observations. TH: 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 Thailand – Table TH.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 |
|---|---|---|
| 0.617 2017 | yearly | 2017 - 2017 |