Zimbabwe Human Capital Index
Zimbabwe ZW: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
ZW: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.397 NA in 2010. ZW: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.397 NA from Dec 2010 (Median) to 2010, with 1 observations. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 0.397 2010 | yearly | 2010 - 2010 |
View Zimbabwe's Zimbabwe ZW: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2010 to 2010 in the chart:
Zimbabwe ZW: Human Capital Index (HCI): Female: Scale 0-1
ZW: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.415 NA in 2010. ZW: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.415 NA from Dec 2010 (Median) to 2010, with 1 observations. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 0.415 2010 | yearly | 2010 - 2010 |
View Zimbabwe's Zimbabwe ZW: Human Capital Index (HCI): Female: Scale 0-1 from 2010 to 2010 in the chart:
Zimbabwe ZW: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
ZW: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.433 NA in 2010. ZW: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.433 NA from Dec 2010 (Median) to 2010, with 1 observations. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 0.433 2010 | yearly | 2010 - 2010 |
View Zimbabwe's Zimbabwe ZW: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2010 to 2010 in the chart:
Zimbabwe ZW: Human Capital Index (HCI): Lower Bound: Scale 0-1
ZW: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.419 NA in 2017. ZW: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.419 NA from Dec 2017 (Median) to 2017, with 1 observations. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 0.419 2017 | yearly | 2017 - 2017 |
View Zimbabwe's Zimbabwe ZW: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Zimbabwe ZW: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
ZW: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.388 NA in 2010. ZW: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.388 NA from Dec 2010 (Median) to 2010, with 1 observations. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 0.388 2010 | yearly | 2010 - 2010 |
View Zimbabwe's Zimbabwe ZW: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2010 to 2010 in the chart:
Zimbabwe ZW: Human Capital Index (HCI): Male: Scale 0-1
ZW: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.405 NA in 2010. ZW: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.405 NA from Dec 2010 (Median) to 2010, with 1 observations. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 0.405 2010 | yearly | 2010 - 2010 |
View Zimbabwe's Zimbabwe ZW: Human Capital Index (HCI): Male: Scale 0-1 from 2010 to 2010 in the chart:
Zimbabwe ZW: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
ZW: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.422 NA in 2010. ZW: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.422 NA from Dec 2010 (Median) to 2010, with 1 observations. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 0.422 2010 | yearly | 2010 - 2010 |
View Zimbabwe's Zimbabwe ZW: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2010 to 2010 in the chart:
Zimbabwe ZW: Human Capital Index (HCI): Scale 0-1
ZW: Human Capital Index (HCI): Scale 0-1 data was reported at 0.441 NA in 2017. ZW: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.441 NA from Dec 2017 (Median) to 2017, with 1 observations. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 0.441 2017 | yearly | 2017 - 2017 |
View Zimbabwe's Zimbabwe ZW: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Zimbabwe ZW: Human Capital Index (HCI): Upper Bound: Scale 0-1
ZW: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.463 NA in 2017. ZW: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.463 NA from Dec 2017 (Median) to 2017, with 1 observations. ZW: 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 Zimbabwe – Table ZW.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 |
|---|---|---|
| 0.463 2017 | yearly | 2017 - 2017 |