Micronesia Human Capital Index
Micronesia FM: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
FM: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.488 NA in 2020. This records an increase from the previous number of 0.447 NA for 2018. FM: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.468 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.488 NA in 2020 and a record low of 0.447 NA in 2018. FM: 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 Micronesia – Table FM.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 Micronesia's Micronesia FM: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2018 to 2020 in the chart:
Micronesia FM: Human Capital Index (HCI): Female: Scale 0-1
FM: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.527 NA in 2020. This records an increase from the previous number of 0.481 NA for 2018. FM: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.504 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.527 NA in 2020 and a record low of 0.481 NA in 2018. FM: 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 Micronesia – Table FM.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 |
|---|---|---|
| 0.527 2020 | yearly | 2018 - 2020 |
View Micronesia's Micronesia FM: Human Capital Index (HCI): Female: Scale 0-1 from 2018 to 2020 in the chart:
Micronesia FM: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
FM: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.554 NA in 2020. This records an increase from the previous number of 0.505 NA for 2018. FM: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.529 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.554 NA in 2020 and a record low of 0.505 NA in 2018. FM: 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 Micronesia – Table FM.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 |
|---|---|---|
| 0.554 2020 | yearly | 2018 - 2020 |
View Micronesia's Micronesia FM: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2018 to 2020 in the chart:
Micronesia FM: Human Capital Index (HCI): Lower Bound: Scale 0-1
FM: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.470 NA in 2020. This records an increase from the previous number of 0.435 NA for 2018. FM: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.453 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.470 NA in 2020 and a record low of 0.435 NA in 2018. FM: 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 Micronesia – Table FM.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 |
|---|---|---|
| 0.470 2020 | yearly | 2018 - 2020 |
View Micronesia's Micronesia FM: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2018 to 2020 in the chart:
Micronesia FM: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
FM: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.451 NA in 2020. This records an increase from the previous number of 0.416 NA for 2018. FM: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.433 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.451 NA in 2020 and a record low of 0.416 NA in 2018. FM: 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 Micronesia – Table FM.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 |
|---|---|---|
| 0.451 2020 | yearly | 2018 - 2020 |
View Micronesia's Micronesia FM: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2018 to 2020 in the chart:
Micronesia FM: Human Capital Index (HCI): Male: Scale 0-1
FM: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.491 NA in 2020. This records an increase from the previous number of 0.452 NA for 2018. FM: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.471 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.491 NA in 2020 and a record low of 0.452 NA in 2018. FM: 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 Micronesia – Table FM.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 |
|---|---|---|
| 0.491 2020 | yearly | 2018 - 2020 |
View Micronesia's Micronesia FM: Human Capital Index (HCI): Male: Scale 0-1 from 2018 to 2020 in the chart:
Micronesia FM: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
FM: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.518 NA in 2020. This records an increase from the previous number of 0.476 NA for 2018. FM: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.497 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.518 NA in 2020 and a record low of 0.476 NA in 2018. FM: 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 Micronesia – Table FM.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 |
|---|---|---|
| 0.518 2020 | yearly | 2018 - 2020 |
View Micronesia's Micronesia FM: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2018 to 2020 in the chart:
Micronesia FM: Human Capital Index (HCI): Scale 0-1
FM: Human Capital Index (HCI): Scale 0-1 data was reported at 0.506 NA in 2020. This records an increase from the previous number of 0.466 NA for 2018. FM: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.486 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.506 NA in 2020 and a record low of 0.466 NA in 2018. FM: 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 Micronesia – Table FM.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 |
|---|---|---|
| 0.506 2020 | yearly | 2018 - 2020 |
View Micronesia's Micronesia FM: Human Capital Index (HCI): Scale 0-1 from 2018 to 2020 in the chart:
Micronesia FM: Human Capital Index (HCI): Upper Bound: Scale 0-1
FM: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.529 NA in 2020. This records an increase from the previous number of 0.487 NA for 2018. FM: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.508 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.529 NA in 2020 and a record low of 0.487 NA in 2018. FM: 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 Micronesia – Table FM.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 |
|---|---|---|
| 0.529 2020 | yearly | 2018 - 2020 |