Myanmar - Human capital index
Human capital index (HCI) (scale 0-1)
Definition: 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.
Source: World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
See also:
| Year | Value |
|---|---|
| 2017 | 0.473 |
| 2018 | 0.472 |
| 2020 | 0.478 |
Human capital index (HCI), female (scale 0-1)
Definition: 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.
Source: World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
See also:
| Year | Value |
|---|---|
| 2017 | 0.490 |
| 2018 | 0.487 |
| 2020 | 0.495 |
Human capital index (HCI), lower bound (scale 0-1)
Definition: 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.
Source: World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
See also:
| Year | Value |
|---|---|
| 2017 | 0.456 |
| 2018 | 0.454 |
| 2020 | 0.459 |
Human capital index (HCI), female, lower bound (scale 0-1)
Definition: 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.
Source: World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
See also:
| Year | Value |
|---|---|
| 2017 | 0.473 |
| 2018 | 0.469 |
| 2020 | 0.475 |
Human capital index (HCI), male, lower bound (scale 0-1)
Definition: 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.
Source: World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
See also:
| Year | Value |
|---|---|
| 2017 | 0.440 |
| 2018 | 0.437 |
| 2020 | 0.440 |
Human capital index (HCI), male (scale 0-1)
Definition: 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.
Source: World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
See also:
| Year | Value |
|---|---|
| 2017 | 0.458 |
| 2018 | 0.457 |
| 2020 | 0.461 |
Human capital index (HCI), upper bound (scale 0-1)
Definition: 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.
Source: World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
See also:
| Year | Value |
|---|---|
| 2017 | 0.488 |
| 2018 | 0.488 |
| 2020 | 0.494 |
Human capital index (HCI), female, upper bound (scale 0-1)
Definition: 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.
Source: World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
See also:
| Year | Value |
|---|---|
| 2017 | 0.504 |
| 2018 | 0.505 |
| 2020 | 0.512 |
Human capital index (HCI), male, upper bound (scale 0-1)
Definition: 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.
Source: World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498
See also:
| Year | Value |
|---|---|
| 2017 | 0.474 |
| 2018 | 0.476 |
| 2020 | 0.481 |
Classification
Topic: Public Sector Indicators
Sub-Topic: Policy & institutions
