Population living in slums 2008
This statistic measures the percentage of a country's population living in slums, highlighting urban poverty and living conditions. Understanding slum populations is crucial for addressing housing challenges and improving the quality of life.
Interactive Map
Complete Data Rankings
Rank | ||
|---|---|---|
1 | South Sudan | 99.806 % |
2 | Sudan | 94.003 % |
3 | Chad | 87.075 % |
4 | Madagascar | 81.829 % |
5 | Ethiopia | 79.791 % |
6 | Mozambique | 76.041 % |
7 | Guinea-Bissau | 75.2 % |
8 | Central African Republic | 74.597 % |
9 | Congo, Democratic Republic of the | 73.296 % |
10 | Liberia | 72.811 % |
11 | Congo | 72.227 % |
12 | Mauritania | 71.187 % |
13 | Benin | 70.293 % |
14 | Niger | 70.27 % |
15 | Uganda | 70.146 % |
16 | Djibouti | 67.406 % |
17 | Eritrea | 67.406 % |
18 | Mauritius | 67.406 % |
19 | Seychelles | 67.406 % |
20 | Somalia | 67.406 % |
21 | Malawi | 67.355 % |
22 | Lebanon | 67.302 % |
23 | Nicaragua | 67.2 % |
24 | Mali | 67.097 % |
25 | Sierra Leone | 67.072 % |
26 | Comoros | 66.862 % |
27 | Burundi | 66.318 % |
28 | Pakistan | 65.123 % |
29 | Tanzania | 64.298 % |
30 | Nigeria | 64.057 % |
31 | Afghanistan | 63.6 % |
32 | Cambodia | 62.3 % |
33 | Cabo Verde | 61.43 % |
34 | Côte d'Ivoire | 60.914 % |
35 | Sao Tome and Principe | 60.397 % |
36 | Burkina Faso | 59.947 % |
37 | Equatorial Guinea | 59.855 % |
38 | Ecuador | 57.8 % |
39 | Zambia | 57.574 % |
40 | Rwanda | 57.496 % |
41 | Kenya | 56.999 % |
42 | Togo | 56.299 % |
43 | Haiti | 56.061 % |
44 | Bangladesh | 55.734 % |
45 | Nepal | 54.742 % |
46 | Bhutan | 54.475 % |
47 | Iran | 54.475 % |
48 | Sri Lanka | 54.475 % |
49 | Timor-Leste | 54 % |
50 | Yemen | 53.326 % |
51 | Senegal | 52.935 % |
52 | Cameroon | 52.287 % |
53 | Lesotho | 50.336 % |
54 | Botswana | 50.202 % |
55 | Gabon | 49.946 % |
56 | Gambia | 49.71 % |
57 | Bolivia | 48.89 % |
58 | Ghana | 46.928 % |
59 | Guatemala | 46.55 % |
60 | Philippines | 44.349 % |
61 | Guinea | 44.002 % |
62 | Myanmar | 42.236 % |
63 | Namibia | 41.961 % |
64 | Mongolia | 41.714 % |
65 | Maldives | 40.978 % |
66 | Laos | 40.7 % |
67 | Eswatini | 40.504 % |
68 | El Salvador | 40.489 % |
69 | Iraq | 40.072 % |
70 | Peru | 40.018 % |
71 | Honduras | 38.56 % |
72 | Angola | 31.923 % |
73 | Panama | 31.43 % |
74 | Libya | 30.984 % |
75 | Algeria | 30.8 % |
76 | Brunei Darussalam | 30.568 % |
77 | Paraguay | 30.039 % |
78 | Kyrgyzstan | 29.271 % |
79 | Syrian Arab Republic | 28.534 % |
80 | Indonesia | 28.509 % |
81 | State of Palestine | 27.164 % |
82 | Azerbaijan | 26.927 % |
83 | South Africa | 26.086 % |
84 | Venezuela | 25.7 % |
85 | Vietnam | 25.541 % |
86 | Mexico | 25.303 % |
87 | Zimbabwe | 25.14 % |
88 | Guyana | 22.024 % |
89 | Morocco | 22.003 % |
90 | Brazil | 21.511 % |
91 | Dominican Republic | 20.702 % |
92 | Papua New Guinea | 20.5 % |
93 | Egypt | 20.186 % |
94 | Turkey | 19.005 % |
95 | Uzbekistan | 18.413 % |
96 | Albania | 17.9 % |
97 | Argentina | 17.389 % |
98 | Uruguay | 16.224 % |
99 | Montenegro | 16.1 % |
100 | Colombia | 15.799 % |
101 | Belize | 15.749 % |
102 | Republic of Moldova | 15.1 % |
103 | Fiji | 13.5 % |
104 | Kazakhstan | 13.322 % |
105 | Kiribati | 13.1 % |
106 | Georgia | 11.681 % |
107 | South Korea | 11.05 % |
108 | Armenia | 10.84 % |
109 | Suriname | 10.778 % |
110 | Hungary | 10.4 % |
111 | Tunisia | 10.4 % |
112 | Turkmenistan | 10.007 % |
113 | Trinidad and Tobago | 9.5 % |
114 | Costa Rica | 9.036 % |
115 | Solomon Islands | 7.5 % |
116 | Chile | 7.3 % |
117 | Ireland | 7.2 % |
118 | Bosnia and Herzegovina | 4.7 % |
119 | Vanuatu | 4.35 % |
120 | Cuba | 4.251 % |
121 | Cayman Islands | 4.15 % |
122 | Austria | 3.856 % |
123 | Saint Lucia | 3.35 % |
124 | Russia | 3.3 % |
125 | Romania | 3.25 % |
126 | Samoa | 3.2 % |
127 | Ukraine | 3.2 % |
128 | Tuvalu | 2.55 % |
129 | Lithuania | 2.4 % |
130 | Oman | 2.3 % |
131 | British Virgin Islands | 2.282 % |
132 | Latvia | 1.85 % |
133 | Nauru | 1.85 % |
134 | Marshall Islands | 1.65 % |
135 | Tonga | 1.45 % |
136 | Palau | 1.3 % |
137 | North Macedonia | 1 % |
138 | Poland | 0.85 % |
139 | United Arab Emirates | 0.8 % |
140 | Portugal | 0.55 % |
141 | Serbia | 0.55 % |
142 | Canada | 0.45 % |
143 | Croatia | 0.35 % |
144 | Cyprus | 0.25 % |
145 | Sweden | 0.2 % |
146 | United States | 0.2 % |
147 | Bulgaria | 0.15 % |
148 | Greece | 0.15 % |
149 | Australia | 0.105 % |
150 | Bermuda | 0.1 % |
151 | Estonia | 0.1 % |
152 | United Kingdom | 0.1 % |
153 | Czech Republic | 0.05 % |
154 | Slovakia | 0.05 % |
155 | Malta | 0.038 % |
156 | Italy | 0.02 % |
157 | Luxembourg | 0.006 % |
158 | Andorra | 0 % |
159 | Aruba | 0 % |
160 | Belgium | 0 % |
161 | Denmark | 0 % |
162 | Finland | 0 % |
163 | France | 0 % |
164 | Germany | 0 % |
165 | Iceland | 0 % |
166 | Kuwait | 0 % |
167 | Monaco | 0 % |
168 | Netherlands | 0 % |
169 | New Zealand | 0 % |
170 | Norway | 0 % |
171 | Singapore | 0 % |
172 | Switzerland | 0 % |
↑Top 10 Countries
- #1
South Sudan
- #2
Sudan
- #3
Chad
- #4
Madagascar
- #5
Ethiopia
- #6
Mozambique
- #7
Guinea-Bissau
- #8
Central African Republic
- #9
Congo, Democratic Republic of the
- #10
Liberia
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
↓Bottom 10 Countries
- #172
Switzerland
- #171
Singapore
- #170
Norway
- #169
New Zealand
- #168
Netherlands
- #167
Monaco
- #166
Kuwait
- #165
Iceland
- #164
Germany
- #163
France
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
The statistic on the population living in slums for the year 2008 provides a critical insight into urban poverty and living conditions worldwide. It highlights the percentage of a country's population residing in inadequate housing, often without access to basic services such as clean water, sanitation, and electricity. This metric is instrumental in understanding global housing challenges and the quality of life for millions. By examining the data from 2008, we can gain insights into the socio-economic and environmental factors influencing slum populations across different regions.
Global Context of Slum Populations in 2008
In 2008, the global average percentage of people living in slums was 30.44%, indicating a significant portion of the urban population faced substandard living conditions. The spread across 168 countries showed a stark contrast between those with minimal slum populations and others where almost the entire urban populace lived in slum conditions. Countries like Finland, Monaco, and the Netherlands reported 0% of their populations living in slums, illustrating successful urban planning and housing policies. In contrast, South Sudan topped the list with an alarming 99.81%, reflecting severe socio-political challenges and lack of infrastructure development.
Regional Variations and Influences
The geographical distribution of slum populations in 2008 reveals significant regional variations. African countries dominated the list of nations with the highest percentage of populations living in slums. For instance, Sudan (94.00%), Chad (87.07%), and Madagascar (81.83%) were among the top countries facing critical housing challenges. These figures can be attributed to factors such as rapid urbanization, political instability, and economic hardships that have hindered infrastructure growth and effective urban planning.
Economic Implications of Slum Living
Living in slums presents profound economic implications. The high percentage of slum dwellers in countries like Ethiopia (79.79%) and Mozambique (76.04%) underscores the struggles with poverty and unemployment. Slum conditions often correlate with inadequate access to education and healthcare, limiting economic opportunities and perpetuating the cycle of poverty. Conversely, countries with lower slum populations, such as Norway and Iceland, showcase strong economies and social safety nets that support better living conditions and reduce housing inadequacies.
Policy and Governance Impact
The variance in slum populations across countries in 2008 also reflects the effectiveness of governmental policies and governance structures. Nations with robust urban policies and governance frameworks, such as Denmark and Switzerland, successfully maintain low slum populations through targeted housing programs and investments in public infrastructure. On the other hand, countries like the Democratic Republic of the Congo (73.30%) and Liberia (72.81%) require international support and strategic planning to address the complex challenges of urban poverty and slum proliferation.
Future Trends and Projections
While the 2008 data provides a snapshot of the global slum situation, future trends indicate both challenges and opportunities for improvement. As urbanization continues to accelerate, particularly in Asia and Africa, the demand for affordable housing and sustainable urban development becomes imperative. Initiatives like the United Nations’ Sustainable Development Goals, which focus on making cities inclusive, safe, resilient, and sustainable, are crucial in reducing the percentage of populations living in slums. By investing in infrastructure, enhancing governance, and fostering economic growth, countries can improve living conditions and reduce the prevalence of slums.
Overall, the 2008 statistics on populations living in slums underscore the urgent need for comprehensive urban planning and policy intervention. Addressing this issue is vital not only for improving the lives of millions living in inadequate conditions but also for fostering sustainable economic and social development worldwide.
Data Source
UN Habitat
The Data and Analytics Section (DAS) is the specialized statistics unit within UN-Habitat. The data section is responsible for overall data oversight across all urban monitoring domains within UN-Habitat, methodological developments, supporting member states in their monitoring efforts around global agenda such as the SDGs, implementing direct data collection and compilation, providing data to UN-Habitat global reports, and publicly and openly disseminating urban data through its urban indicators programme.
Visit Data SourceHistorical Data by Year
Explore Population living in slums data across different years. Compare trends and see how statistics have changed over time.
More People and Society Facts
Currently married (Percent)
The percentage of currently married individuals by country highlights societal trends in family structure and relationships. Understanding these statistics can provide insights into cultural norms and demographic shifts, influencing policies and social programs.
View dataBrowse All People and Society
Explore more facts and statistics in this category
All Categories
Discover more categories with comprehensive global data