Saint Vincent and the Grenadines Human Capital Index
Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
VC: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.556 NA in 2020. This records an increase from the previous number of 0.553 NA for 2018. VC: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.555 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.556 NA in 2020 and a record low of 0.553 NA in 2018. VC: 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 Saint Vincent and the Grenadines – Table VC.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 |
|---|---|---|
| 0.556 2020 | yearly | 2018 - 2020 |
View Saint Vincent and the Grenadines's Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2018 to 2020 in the chart:
Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Female: Scale 0-1
VC: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.571 NA in 2020. This records an increase from the previous number of 0.566 NA for 2018. VC: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.568 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.571 NA in 2020 and a record low of 0.566 NA in 2018. VC: 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 Saint Vincent and the Grenadines – Table VC.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 |
|---|---|---|
| 0.571 2020 | yearly | 2018 - 2020 |
View Saint Vincent and the Grenadines's Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Female: Scale 0-1 from 2018 to 2020 in the chart:
Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
VC: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.584 NA in 2020. This records an increase from the previous number of 0.579 NA for 2018. VC: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.581 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.584 NA in 2020 and a record low of 0.579 NA in 2018. VC: 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 Saint Vincent and the Grenadines – Table VC.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 | 2018 - 2020 |
View Saint Vincent and the Grenadines's Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2018 to 2020 in the chart:
Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Lower Bound: Scale 0-1
VC: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.522 NA in 2020. This records a decrease from the previous number of 0.525 NA for 2018. VC: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.524 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.525 NA in 2018 and a record low of 0.522 NA in 2020. VC: 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 Saint Vincent and the Grenadines – Table VC.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 |
|---|---|---|
| 0.522 2020 | yearly | 2018 - 2020 |
View Saint Vincent and the Grenadines's Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2018 to 2020 in the chart:
Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
VC: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.488 NA in 2020. This records a decrease from the previous number of 0.496 NA for 2018. VC: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.492 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.496 NA in 2018 and a record low of 0.488 NA in 2020. VC: 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 Saint Vincent and the Grenadines – Table VC.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 |
|---|---|---|
| 0.488 2020 | yearly | 2018 - 2020 |
View Saint Vincent and the Grenadines's Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2018 to 2020 in the chart:
Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Male: Scale 0-1
VC: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.501 NA in 2020. This records a decrease from the previous number of 0.509 NA for 2018. VC: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.505 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.509 NA in 2018 and a record low of 0.501 NA in 2020. VC: 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 Saint Vincent and the Grenadines – Table VC.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 |
|---|---|---|
| 0.501 2020 | yearly | 2018 - 2020 |
View Saint Vincent and the Grenadines's Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Male: Scale 0-1 from 2018 to 2020 in the chart:
Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
VC: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.514 NA in 2020. This records a decrease from the previous number of 0.522 NA for 2018. VC: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.518 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.522 NA in 2018 and a record low of 0.514 NA in 2020. VC: 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 Saint Vincent and the Grenadines – Table VC.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 |
|---|---|---|
| 0.514 2020 | yearly | 2018 - 2020 |
View Saint Vincent and the Grenadines's Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2018 to 2020 in the chart:
Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Scale 0-1
VC: Human Capital Index (HCI): Scale 0-1 data was reported at 0.533 NA in 2020. This records a decrease from the previous number of 0.536 NA for 2018. VC: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.535 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.536 NA in 2018 and a record low of 0.533 NA in 2020. VC: 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 Saint Vincent and the Grenadines – Table VC.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 |
|---|---|---|
| 0.533 2020 | yearly | 2018 - 2020 |
View Saint Vincent and the Grenadines's Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Scale 0-1 from 2018 to 2020 in the chart:
Saint Vincent and the Grenadines VC: Human Capital Index (HCI): Upper Bound: Scale 0-1
VC: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.545 NA in 2020. This records a decrease from the previous number of 0.546 NA for 2018. VC: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.545 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.546 NA in 2018 and a record low of 0.545 NA in 2020. VC: 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 Saint Vincent and the Grenadines – Table VC.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 |
|---|---|---|
| 0.545 2020 | yearly | 2018 - 2020 |