South Sudan's population living in slums (% of urban population) was 94.2% in 2022, the latest year in the World Bank's World Development Indicators. That is down 0.00176 percentage points from 94.2% in 2012.
Key figures
| Value | Year | |
|---|---|---|
| Latest | 94.2% | 2022 |
| Ten years earlier | 94.2% | 2012 |
| Highest | 99.81% | 2008 |
| Lowest | 94.2% | 2014 |
| Average since 2014 | 94.2% | 2014–2022 |
| First recorded | 99.8% | 2002 |
Since 2002 it is down 5.6 percentage points from 99.8% in 2002. The World Bank has no value for 10 of the years in between; the chart leaves those gaps open rather than joining across them.
How it compares
In 2022, South Sudan had the 1st highest value of the 153 economies reporting that year. Higher is not always better: for some indicators the lowest value is the one to aim for. See the full ranking.
| Value | Year | |
|---|---|---|
| South Sudan | 94.2% | 2022 |
| Sub-Saharan Africa | 53.71% | 2022 |
| Low income | 61.16% | 2022 |
Closest to South Sudan in the 2022 ranking
- Mali — 2nd of 153: 92.5%
- Burkina Faso — 3rd of 153: 87.88%
- São Tomé and Principe — 4th of 153: 82.39%
What this measures
Population living in slums is the proportion of the urban population living in slum households. A slum household is defined as a group of individuals living under the same roof lacking one or more of the following conditions: access to improved water, access to improved sanitation, sufficient living area, housing durability, and security of tenure, as adopted in the Millennium Development Goal Target 7.D. The successor, the Sustainable Development Goal 11.1.1, considers inadequate housing (housing affordability) to complement the above definition of slums/informal settlements.
Regional and income-group figures are computed by the World Bank as a weighted average.
All 11 values
| Year | Population living in slums (% of urban population) |
|---|---|
| 2022 | 94.2 |
| 2021 | no data |
| 2020 | 94.2 |
| 2019 | no data |
| 2018 | 94.2 |
| 2017 | no data |
| 2016 | 94.2 |
| 2015 | no data |
| 2014 | 94.2 |
| 2013 | no data |
| 2012 |
Population living in slums (% of urban population) in nearby economies
- Angola — 62.7% (2022)
- Benin — 64.01% (2022)
- Botswana — 39.6% (2022)
- Burkina Faso — 87.88% (2022)
- Burundi — 36.75% (2022)
- Cabo Verde — 46.41% (2022)
- Cameroon — 32.67% (2022)
- Central African Republic — 68.91% (2022)
- Chad — 82% (2022)
- Comoros
More environment data for South Sudan
- Population in largest city — 500,088 (2025)
- Population in the largest city (% of urban population) — 18.92% (2025)
- Rural population — 9.55 million (2025)
- Rural population (% of total population) — 78.32% (2025)
- Urban population — 2.64 million (2025)
- Urban population (% of total population) — 21.68% (2025)
- Rural population growth (annual %) — 1.64% (2025)
- Urban population growth (annual %) — 3.46% (2025)
- Electric power consumption (kWh per capita) — 53.17 (2024)
- PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)
Reading data like this
Questions people ask
- What is South Sudan's population living in slums (% of urban population)?
- 94.2% in 2022, according to the World Bank (World Development Indicators).
- How has it changed since 2002?
- It is down 5.6 percentage points from 99.8% in 2002. The highest value was 99.81% in 2008 and the lowest 94.2% in 2014.
- How does South Sudan rank?
- 1st highest of 153 economies with data for 2022.
- Where does this data come from?
- The World Bank's World Development Indicators, licensed CC BY 4.0. Original source: Urban Indicators Database, UN Human Settlements Programme (UN-Habitat), uri: https://data.unhabitat.org/.
Source
World Bank, World Development Indicators, indicator EN.POP.SLUM.UR.ZS, licensed CC BY 4.0. Original source: Urban Indicators Database, UN Human Settlements Programme (UN-Habitat), uri: https://data.unhabitat.org/ Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.
Want to ask your own questions of data like this? Try AnalyzeIt: upload a file or ask about public data in plain words, and every figure comes with its working.
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