Australia Human Capital Index
Australia Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
AU: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.796 NA in 2017. AU: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.796 NA from Dec 2017 (Median) to 2017, with 1 observations. AU: 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 Australia – Table AU.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 |
|---|---|---|
| 0.796 2017 | yearly | 2017 - 2017 |
View Australia's Australia Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Australia Human Capital Index (HCI): Female: Scale 0-1
AU: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.805 NA in 2017. AU: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.805 NA from Dec 2017 (Median) to 2017, with 1 observations. AU: 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 Australia – Table AU.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 |
|---|---|---|
| 0.805 2017 | yearly | 2017 - 2017 |
View Australia's Australia Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Australia Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
AU: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.815 NA in 2017. AU: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.815 NA from Dec 2017 (Median) to 2017, with 1 observations. AU: 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 Australia – Table AU.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 |
|---|---|---|
| 0.815 2017 | yearly | 2017 - 2017 |
View Australia's Australia Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Australia Human Capital Index (HCI): Lower Bound: Scale 0-1
AU: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.793 NA in 2017. AU: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.793 NA from Dec 2017 (Median) to 2017, with 1 observations. AU: 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 Australia – Table AU.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 |
|---|---|---|
| 0.793 2017 | yearly | 2017 - 2017 |
View Australia's Australia Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Australia Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
AU: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.768 NA in 2017. AU: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.768 NA from Dec 2017 (Median) to 2017, with 1 observations. AU: 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 Australia – Table AU.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 |
|---|---|---|
| 0.768 2017 | yearly | 2017 - 2017 |
View Australia's Australia Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Australia Human Capital Index (HCI): Male: Scale 0-1
AU: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.779 NA in 2017. AU: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.779 NA from Dec 2017 (Median) to 2017, with 1 observations. AU: 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 Australia – Table AU.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 |
|---|---|---|
| 0.779 2017 | yearly | 2017 - 2017 |
View Australia's Australia Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Australia Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
AU: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.789 NA in 2017. AU: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.789 NA from Dec 2017 (Median) to 2017, with 1 observations. AU: 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 Australia – Table AU.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 |
|---|---|---|
| 0.789 2017 | yearly | 2017 - 2017 |
View Australia's Australia Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Australia Human Capital Index (HCI): Scale 0-1
AU: Human Capital Index (HCI): Scale 0-1 data was reported at 0.803 NA in 2017. AU: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.803 NA from Dec 2017 (Median) to 2017, with 1 observations. AU: 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 Australia – Table AU.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 |
|---|---|---|
| 0.803 2017 | yearly | 2017 - 2017 |
View Australia's Australia Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Australia Human Capital Index (HCI): Upper Bound: Scale 0-1
AU: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.813 NA in 2017. AU: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.813 NA from Dec 2017 (Median) to 2017, with 1 observations. AU: 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 Australia – Table AU.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 |
|---|---|---|
| 0.813 2017 | yearly | 2017 - 2017 |