Sudan Human Capital Index
Sudan SD: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
SD: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.369 NA in 2020. This records an increase from the previous number of 0.368 NA for 2018. SD: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.369 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.369 NA in 2020 and a record low of 0.368 NA in 2018. SD: 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 Sudan – Table SD.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 |
|---|---|---|
| 0.369 2020 | yearly | 2018 - 2020 |
View Sudan's Sudan SD: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2018 to 2020 in the chart:
Sudan SD: Human Capital Index (HCI): Female: Scale 0-1
SD: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.385 NA in 2020. This records an increase from the previous number of 0.384 NA for 2018. SD: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.385 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.385 NA in 2020 and a record low of 0.384 NA in 2018. SD: 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 Sudan – Table SD.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 |
|---|---|---|
| 0.385 2020 | yearly | 2018 - 2020 |
View Sudan's Sudan SD: Human Capital Index (HCI): Female: Scale 0-1 from 2018 to 2020 in the chart:
Sudan SD: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
SD: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.400 NA in 2020. This records an increase from the previous number of 0.398 NA for 2018. SD: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.399 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.400 NA in 2020 and a record low of 0.398 NA in 2018. SD: 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 Sudan – Table SD.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 |
|---|---|---|
| 0.400 2020 | yearly | 2018 - 2020 |
View Sudan's Sudan SD: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2018 to 2020 in the chart:
Sudan SD: Human Capital Index (HCI): Lower Bound: Scale 0-1
SD: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.367 NA in 2017. SD: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.367 NA from Dec 2017 (Median) to 2017, with 1 observations. SD: 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 Sudan – Table SD.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 |
|---|---|---|
| 0.367 2017 | yearly | 2017 - 2017 |
View Sudan's Sudan SD: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Sudan SD: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
SD: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.352 NA in 2020. This records an increase from the previous number of 0.351 NA for 2018. SD: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.351 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.352 NA in 2020 and a record low of 0.351 NA in 2018. SD: 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 Sudan – Table SD.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 |
|---|---|---|
| 0.352 2020 | yearly | 2018 - 2020 |
View Sudan's Sudan SD: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2018 to 2020 in the chart:
Sudan SD: Human Capital Index (HCI): Male: Scale 0-1
SD: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.370 NA in 2020. This records an increase from the previous number of 0.369 NA for 2018. SD: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.369 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.370 NA in 2020 and a record low of 0.369 NA in 2018. SD: 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 Sudan – Table SD.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 |
|---|---|---|
| 0.370 2020 | yearly | 2018 - 2020 |
View Sudan's Sudan SD: Human Capital Index (HCI): Male: Scale 0-1 from 2018 to 2020 in the chart:
Sudan SD: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
SD: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.386 NA in 2020. This records an increase from the previous number of 0.384 NA for 2018. SD: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.385 NA from Dec 2018 (Median) to 2020, with 2 observations. The data reached an all-time high of 0.386 NA in 2020 and a record low of 0.384 NA in 2018. SD: 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 Sudan – Table SD.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 |
|---|---|---|
| 0.386 2020 | yearly | 2018 - 2020 |
View Sudan's Sudan SD: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2018 to 2020 in the chart:
Sudan SD: Human Capital Index (HCI): Scale 0-1
SD: Human Capital Index (HCI): Scale 0-1 data was reported at 0.379 NA in 2017. SD: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.379 NA from Dec 2017 (Median) to 2017, with 1 observations. SD: 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 Sudan – Table SD.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 |
|---|---|---|
| 0.379 2017 | yearly | 2017 - 2017 |
View Sudan's Sudan SD: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Sudan SD: Human Capital Index (HCI): Upper Bound: Scale 0-1
SD: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.390 NA in 2017. SD: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.390 NA from Dec 2017 (Median) to 2017, with 1 observations. SD: 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 Sudan – Table SD.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 |
|---|---|---|
| 0.390 2017 | yearly | 2017 - 2017 |