Azerbaijan Human Capital Index
Azerbaijan Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
AZ: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.570 NA in 2020. This records a decrease from the previous number of 0.625 NA for 2018. AZ: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.570 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.625 NA in 2018 and a record low of 0.496 NA in 2010. AZ: 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 Azerbaijan – Table AZ.World Bank.WDI: 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 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 Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;
| Last | Frequency | Range |
|---|---|---|
| 0.570 2020 | yearly | 2010 - 2020 |
View Azerbaijan's Azerbaijan Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2010 to 2020 in the chart:
Azerbaijan Human Capital Index (HCI): Female: Scale 0-1
AZ: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.587 NA in 2020. This records a decrease from the previous number of 0.646 NA for 2018. AZ: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.587 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.646 NA in 2018 and a record low of 0.509 NA in 2010. AZ: 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 Azerbaijan – Table AZ.World Bank.WDI: 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 |
|---|---|---|
| 0.587 2020 | yearly | 2010 - 2020 |
View Azerbaijan's Azerbaijan Human Capital Index (HCI): Female: Scale 0-1 from 2010 to 2020 in the chart:
Azerbaijan Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
AZ: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.603 NA in 2020. This records a decrease from the previous number of 0.664 NA for 2018. AZ: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.603 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.664 NA in 2018 and a record low of 0.521 NA in 2010. AZ: 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 Azerbaijan – Table AZ.World Bank.WDI: 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 Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;
| Last | Frequency | Range |
|---|---|---|
| 0.603 2020 | yearly | 2010 - 2020 |
View Azerbaijan's Azerbaijan Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2010 to 2020 in the chart:
Azerbaijan Human Capital Index (HCI): Lower Bound: Scale 0-1
AZ: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.576 NA in 2017. AZ: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.576 NA from Dec 2017 (Median) to 2017, with 1 observations. AZ: 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 Azerbaijan – Table AZ.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 |
|---|---|---|
| 0.576 2017 | yearly | 2017 - 2017 |
View Azerbaijan's Azerbaijan Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Azerbaijan Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
AZ: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.550 NA in 2020. This records a decrease from the previous number of 0.592 NA for 2018. AZ: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.550 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.592 NA in 2018 and a record low of 0.473 NA in 2010. AZ: 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 Azerbaijan – Table AZ.World Bank.WDI: 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 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 Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;
| Last | Frequency | Range |
|---|---|---|
| 0.550 2020 | yearly | 2010 - 2020 |
View Azerbaijan's Azerbaijan Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2010 to 2020 in the chart:
Azerbaijan Human Capital Index (HCI): Male: Scale 0-1
AZ: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.568 NA in 2020. This records a decrease from the previous number of 0.614 NA for 2018. AZ: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.568 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.614 NA in 2018 and a record low of 0.486 NA in 2010. AZ: 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 Azerbaijan – Table AZ.World Bank.WDI: 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 |
|---|---|---|
| 0.568 2020 | yearly | 2010 - 2020 |
View Azerbaijan's Azerbaijan Human Capital Index (HCI): Male: Scale 0-1 from 2010 to 2020 in the chart:
Azerbaijan Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
AZ: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.584 NA in 2020. This records a decrease from the previous number of 0.634 NA for 2018. AZ: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.584 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.634 NA in 2018 and a record low of 0.499 NA in 2010. AZ: 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 Azerbaijan – Table AZ.World Bank.WDI: 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 Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;
| Last | Frequency | Range |
|---|---|---|
| 0.584 2020 | yearly | 2010 - 2020 |
View Azerbaijan's Azerbaijan Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2010 to 2020 in the chart:
Azerbaijan Human Capital Index (HCI): Scale 0-1
AZ: Human Capital Index (HCI): Scale 0-1 data was reported at 0.597 NA in 2017. AZ: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.597 NA from Dec 2017 (Median) to 2017, with 1 observations. AZ: 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 Azerbaijan – Table AZ.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 |
|---|---|---|
| 0.597 2017 | yearly | 2017 - 2017 |
View Azerbaijan's Azerbaijan Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Azerbaijan Human Capital Index (HCI): Upper Bound: Scale 0-1
AZ: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.615 NA in 2017. AZ: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.615 NA from Dec 2017 (Median) to 2017, with 1 observations. AZ: 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 Azerbaijan – Table AZ.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 |