Lebanon's population living in slums (% of urban population) was 4.53% in 2022, the latest year in the World Bank's World Development Indicators. That is down 12.55 percentage points from 17.09% in 2012.
Key figures
| Value | Year | |
|---|---|---|
| Latest | 4.53% | 2022 |
| Ten years earlier | 17.09% | 2012 |
| Highest | 92.41% | 2006 |
| Lowest | 4.5% | 2014 |
| Average since 2014 | 4.51% | 2014–2022 |
| First recorded | 92.4% | 2002 |
Since 2002 it is down 87.87 percentage points from 92.4% 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, Lebanon had the 98th 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.
Closest to Lebanon in the 2022 ranking
- Uzbekistan — 95th of 153: 7.1%
- Georgia — 96th of 153: 7.08%
- Kiribati — 97th of 153: 5.93%
- Poland — 99th of 153: 4.22%
- Egypt, Arab Rep. — 100th of 153: 3.84%
- Costa Rica — 101st of 153: 3.55%
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 | 4.53 |
| 2021 | no data |
| 2020 | 4.5 |
| 2019 | no data |
| 2018 | 4.5 |
| 2017 | no data |
| 2016 | 4.5 |
| 2015 | no data |
| 2014 | 4.5 |
| 2013 | no data |
| 2012 |
Population living in slums (% of urban population) in nearby economies
- Djibouti — 48.69% (2022)
- Egypt, Arab Rep. — 3.84% (2022)
- Iran, Islamic Rep. — 44.69% (2022)
- Iraq — 49.34% (2022)
- Kuwait — 0% (2022)
- Libya — 16.58% (2022)
- Malta — 0.04% (2022)
- Morocco — 10.85% (2022)
- Oman — 0% (2022)
- Pakistan
More environment data for Lebanon
- Population in largest city — 2.38 million (2025)
- Population in the largest city (% of urban population) — 44.72% (2025)
- Population in urban agglomerations of more than 1 million — 2.38 million (2025)
- Population in urban agglomerations of more than 1 million (% of total population) — 40.68% (2025)
- Rural population — 528,774 (2025)
- Rural population (% of total population) — 9.04% (2025)
- Urban population — 5.32 million (2025)
- Urban population (% of total population) — 90.96% (2025)
- Aquaculture production (metric tons) — 988 (2024)
- Capture fisheries production (metric tons)
Reading data like this
Questions people ask
- What is Lebanon's population living in slums (% of urban population)?
- 4.53% in 2022, according to the World Bank (World Development Indicators).
- How has it changed since 2002?
- It is down 87.87 percentage points from 92.4% in 2002. The highest value was 92.41% in 2006 and the lowest 4.5% in 2014.
- How does Lebanon rank?
- 98th 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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