As Sūkī Facts
| Area | 9.7 km² |
| Population | 40,788 |
| Male Population | 19,435 (47.6%) |
| Female Population | 21,353 (52.4%) |
| Population change (1975 to 2020) | +45.8% |
| Population change (2000 to 2020) | -24.3% |
| Median Age | 18.3 years (Male: 17.6, Female: 18.9) |
| GDP per capita (PPP) | $3,227 (2022) |
| Local Time | |
| Timezone | Central Africa Time |
| Lat & Lng | 13.31667, 33.88333 |
Map of As Sūkī
Interactive Map
As Sūkī Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 27,982 | 37,302 | 53,886 | 64,808 | 40,788 | 43,056 | 45,326 |
| Population Density | 2,888.5 / km² | 3,850.5 / km² | 5,562.4 / km² | 6,689.9 / km² | 4,210.4 / km² | 4,444.5 / km² | 4,678.8 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridAs Sūkī Population change from 2000 to 2020
Decrease of 24.3% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| As Sūkī | +45.8% | +9.3% | -24.3% |
| Sennar (state) | — | — | — |
| Sudan | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
As Sūkī Median Age
Median Age: 18.3 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| As Sūkī | 18.3 yrs | 18.9 yrs | 17.6 yrs |
| Sennar (state) | 18.2 yrs | 18.9 yrs | 17.6 yrs |
| Sudan | 18.2 yrs | 18.9 yrs | 17.6 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
As Sūkī Population Density
Population Density: 4,210 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| As Sūkī | 40,788 | 9.7 km² | 4,210 / km² |
| Sennar (state) | 1.6 million | 39,240.7 km² | 39.9 / km² |
| Sudan | 40.1 million | 1,849,893.1 km² | 21.7 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
As Sūkī Historical and Projected Population
Estimated Population from 0 to 2100
Sources:
- JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [Link] Klein Goldewijk, K., Beusen, A., Doelman, J., and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953, https://doi.org/10.5194/essd-9-927-2017, 2017.
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Source: [Link] Kummu, M., Taka, M. &Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4
As Sūkī Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $2,652 | $2,897 | $3,651 | $4,062 | $4,187 | $4,387 | $3,675 | $3,227 |
| Total GDP | $110M | $124.3M | $168.4M | $198.8M | $219.7M | $242M | $219.9M | $198.2M |
Source: [Link] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x
As Sūkī CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| As Sūkī | 123 tn | 0 tn | 12.7 tons/km² |
| Sennar (state) | 4,768 tn | 0 tn | 0.1 tons/km² |
| Sudan | 1,160,503 tn | 0.03 tn | 0.6 tons/km² |
Sources: [Link] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Carbon footprints of 13,000 cities. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a
As Sūkī CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 123 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 0 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 12.7 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | High (8) |
| Flood | Medium (7) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Sources:
- Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, and International Research Institute for Climate and Society - IRI - Columbia University. 2005. Global Drought Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4VX0DFT.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
About Our Data
The data on this page is estimated using a number of publicly available tools and resources. It is provided without warranty, and could contain inaccuracies. Use at your own risk.