Tuvalu Human Capital Index
Tuvalu TV: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
TV: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.448 NA in 2020. This records an increase from the previous number of 0.439 NA for 2018. TV: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.443 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.448 NA in 2020 and a record low of 0.439 NA in 2018. TV: 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 Tuvalu – Table TV.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 |
|---|---|---|
| 0.448 2020 | yearly | 2018 - 2020 |
View Tuvalu's Tuvalu TV: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2018 to 2020 in the chart:
Tuvalu TV: Human Capital Index (HCI): Female: Scale 0-1
TV: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.471 NA in 2020. This records an increase from the previous number of 0.459 NA for 2018. TV: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.465 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.471 NA in 2020 and a record low of 0.459 NA in 2018. TV: 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 Tuvalu – Table TV.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 |
|---|---|---|
| 0.471 2020 | yearly | 2018 - 2020 |
View Tuvalu's Tuvalu TV: Human Capital Index (HCI): Female: Scale 0-1 from 2018 to 2020 in the chart:
Tuvalu TV: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
TV: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.492 NA in 2020. This records an increase from the previous number of 0.477 NA for 2018. TV: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.484 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.492 NA in 2020 and a record low of 0.477 NA in 2018. TV: 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 Tuvalu – Table TV.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 |
|---|---|---|
| 0.492 2020 | yearly | 2018 - 2020 |
View Tuvalu's Tuvalu TV: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2018 to 2020 in the chart:
Tuvalu TV: Human Capital Index (HCI): Lower Bound: Scale 0-1
TV: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.532 NA in 2017. TV: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.532 NA from Dec 2017 (Median) to 2017, with 1 observations. TV: 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 Tuvalu – Table TV.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 |
|---|---|---|
| 0.532 2017 | yearly | 2017 - 2017 |
View Tuvalu's Tuvalu TV: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Tuvalu TV: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
TV: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.405 NA in 2020. This records an increase from the previous number of 0.403 NA for 2018. TV: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.404 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.405 NA in 2020 and a record low of 0.403 NA in 2018. TV: 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 Tuvalu – Table TV.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 |
|---|---|---|
| 0.405 2020 | yearly | 2018 - 2020 |
View Tuvalu's Tuvalu TV: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2018 to 2020 in the chart:
Tuvalu TV: Human Capital Index (HCI): Male: Scale 0-1
TV: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.426 NA in 2020. This records an increase from the previous number of 0.423 NA for 2018. TV: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.424 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.426 NA in 2020 and a record low of 0.423 NA in 2018. TV: 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 Tuvalu – Table TV.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 |
|---|---|---|
| 0.426 2020 | yearly | 2018 - 2020 |
View Tuvalu's Tuvalu TV: Human Capital Index (HCI): Male: Scale 0-1 from 2018 to 2020 in the chart:
Tuvalu TV: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
TV: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.445 NA in 2020. This records an increase from the previous number of 0.439 NA for 2018. TV: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.442 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.445 NA in 2020 and a record low of 0.439 NA in 2018. TV: 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 Tuvalu – Table TV.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 |
|---|---|---|
| 0.445 2020 | yearly | 2018 - 2020 |
View Tuvalu's Tuvalu TV: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2018 to 2020 in the chart:
Tuvalu TV: Human Capital Index (HCI): Scale 0-1
TV: Human Capital Index (HCI): Scale 0-1 data was reported at 0.554 NA in 2017. TV: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.554 NA from Dec 2017 (Median) to 2017, with 1 observations. TV: 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 Tuvalu – Table TV.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 |
|---|---|---|
| 0.554 2017 | yearly | 2017 - 2017 |
View Tuvalu's Tuvalu TV: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Tuvalu TV: Human Capital Index (HCI): Upper Bound: Scale 0-1
TV: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.571 NA in 2017. TV: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.571 NA from Dec 2017 (Median) to 2017, with 1 observations. TV: 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 Tuvalu – Table TV.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 |
|---|---|---|
| 0.571 2017 | yearly | 2017 - 2017 |