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.

172 data pointsWorldUN Habitat

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Complete Data Rankings

Rank
1
South Sudan flag
South Sudan
99.806 %
2
Sudan flag
Sudan
94.003 %
3
Chad flag
Chad
87.075 %
4
Madagascar flag
Madagascar
81.829 %
5
Ethiopia flag
Ethiopia
79.791 %
6
Mozambique flag
Mozambique
76.041 %
7
Guinea-Bissau flag
Guinea-Bissau
75.2 %
8
Central African Republic flag
Central African Republic
74.597 %
9
Congo, Democratic Republic of the flag
Congo, Democratic Republic of the
73.296 %
10
Liberia flag
Liberia
72.811 %
11
Congo flag
Congo
72.227 %
12
Mauritania flag
Mauritania
71.187 %
13
Benin flag
Benin
70.293 %
14
Niger flag
Niger
70.27 %
15
Uganda flag
Uganda
70.146 %
16
Djibouti flag
Djibouti
67.406 %
17
Eritrea flag
Eritrea
67.406 %
18
Mauritius flag
Mauritius
67.406 %
19
Seychelles flag
Seychelles
67.406 %
20
Somalia flag
Somalia
67.406 %
21
Malawi flag
Malawi
67.355 %
22
Lebanon flag
Lebanon
67.302 %
23
Nicaragua flag
Nicaragua
67.2 %
24
Mali flag
Mali
67.097 %
25
Sierra Leone flag
Sierra Leone
67.072 %
26
Comoros flag
Comoros
66.862 %
27
Burundi flag
Burundi
66.318 %
28
Pakistan flag
Pakistan
65.123 %
29
Tanzania flag
Tanzania
64.298 %
30
Nigeria flag
Nigeria
64.057 %
31
Afghanistan flag
Afghanistan
63.6 %
32
Cambodia flag
Cambodia
62.3 %
33
Cabo Verde flag
Cabo Verde
61.43 %
34
Côte d'Ivoire flag
Côte d'Ivoire
60.914 %
35
Sao Tome and Principe flag
Sao Tome and Principe
60.397 %
36
Burkina Faso flag
Burkina Faso
59.947 %
37
Equatorial Guinea flag
Equatorial Guinea
59.855 %
38
Ecuador flag
Ecuador
57.8 %
39
Zambia flag
Zambia
57.574 %
40
Rwanda flag
Rwanda
57.496 %
41
Kenya flag
Kenya
56.999 %
42
Togo flag
Togo
56.299 %
43
Haiti flag
Haiti
56.061 %
44
Bangladesh flag
Bangladesh
55.734 %
45
Nepal flag
Nepal
54.742 %
46
Bhutan flag
Bhutan
54.475 %
47
Iran flag
Iran
54.475 %
48
Sri Lanka flag
Sri Lanka
54.475 %
49
Timor-Leste flag
Timor-Leste
54 %
50
Yemen flag
Yemen
53.326 %
51
Senegal flag
Senegal
52.935 %
52
Cameroon flag
Cameroon
52.287 %
53
Lesotho flag
Lesotho
50.336 %
54
Botswana flag
Botswana
50.202 %
55
Gabon flag
Gabon
49.946 %
56
Gambia flag
Gambia
49.71 %
57
Bolivia flag
Bolivia
48.89 %
58
Ghana flag
Ghana
46.928 %
59
Guatemala flag
Guatemala
46.55 %
60
Philippines flag
Philippines
44.349 %
61
Guinea flag
Guinea
44.002 %
62
Myanmar flag
Myanmar
42.236 %
63
Namibia flag
Namibia
41.961 %
64
Mongolia flag
Mongolia
41.714 %
65
Maldives flag
Maldives
40.978 %
66
Laos flag
Laos
40.7 %
67
Eswatini flag
Eswatini
40.504 %
68
El Salvador flag
El Salvador
40.489 %
69
Iraq flag
Iraq
40.072 %
70
Peru flag
Peru
40.018 %
71
Honduras flag
Honduras
38.56 %
72
Angola flag
Angola
31.923 %
73
Panama flag
Panama
31.43 %
74
Libya flag
Libya
30.984 %
75
Algeria flag
Algeria
30.8 %
76
Brunei Darussalam flag
Brunei Darussalam
30.568 %
77
Paraguay flag
Paraguay
30.039 %
78
Kyrgyzstan flag
Kyrgyzstan
29.271 %
79
Syrian Arab Republic flag
Syrian Arab Republic
28.534 %
80
Indonesia flag
Indonesia
28.509 %
81
State of Palestine flag
State of Palestine
27.164 %
82
Azerbaijan flag
Azerbaijan
26.927 %
83
South Africa flag
South Africa
26.086 %
84
Venezuela flag
Venezuela
25.7 %
85
Vietnam flag
Vietnam
25.541 %
86
Mexico flag
Mexico
25.303 %
87
Zimbabwe flag
Zimbabwe
25.14 %
88
Guyana flag
Guyana
22.024 %
89
Morocco flag
Morocco
22.003 %
90
Brazil flag
Brazil
21.511 %
91
Dominican Republic flag
Dominican Republic
20.702 %
92
Papua New Guinea flag
Papua New Guinea
20.5 %
93
Egypt flag
Egypt
20.186 %
94
Turkey flag
Turkey
19.005 %
95
Uzbekistan flag
Uzbekistan
18.413 %
96
Albania flag
Albania
17.9 %
97
Argentina flag
Argentina
17.389 %
98
Uruguay flag
Uruguay
16.224 %
99
Montenegro flag
Montenegro
16.1 %
100
Colombia flag
Colombia
15.799 %
101
Belize flag
Belize
15.749 %
102
Republic of Moldova flag
Republic of Moldova
15.1 %
103
Fiji flag
Fiji
13.5 %
104
Kazakhstan flag
Kazakhstan
13.322 %
105
Kiribati flag
Kiribati
13.1 %
106
Georgia flag
Georgia
11.681 %
107
South Korea flag
South Korea
11.05 %
108
Armenia flag
Armenia
10.84 %
109
Suriname flag
Suriname
10.778 %
110
Hungary flag
Hungary
10.4 %
111
Tunisia flag
Tunisia
10.4 %
112
Turkmenistan flag
Turkmenistan
10.007 %
113
Trinidad and Tobago flag
Trinidad and Tobago
9.5 %
114
Costa Rica flag
Costa Rica
9.036 %
115
Solomon Islands flag
Solomon Islands
7.5 %
116
Chile flag
Chile
7.3 %
117
Ireland flag
Ireland
7.2 %
118
Bosnia and Herzegovina flag
Bosnia and Herzegovina
4.7 %
119
Vanuatu flag
Vanuatu
4.35 %
120
Cuba flag
Cuba
4.251 %
121
Cayman Islands flag
Cayman Islands
4.15 %
122
Austria flag
Austria
3.856 %
123
Saint Lucia flag
Saint Lucia
3.35 %
124
Russia flag
Russia
3.3 %
125
Romania flag
Romania
3.25 %
126
Samoa flag
Samoa
3.2 %
127
Ukraine flag
Ukraine
3.2 %
128
Tuvalu flag
Tuvalu
2.55 %
129
Lithuania flag
Lithuania
2.4 %
130
Oman flag
Oman
2.3 %
131
British Virgin Islands flag
British Virgin Islands
2.282 %
132
Latvia flag
Latvia
1.85 %
133
Nauru flag
Nauru
1.85 %
134
Marshall Islands flag
Marshall Islands
1.65 %
135
Tonga flag
Tonga
1.45 %
136
Palau flag
Palau
1.3 %
137
North Macedonia flag
North Macedonia
1 %
138
Poland flag
Poland
0.85 %
139
United Arab Emirates flag
United Arab Emirates
0.8 %
140
Portugal flag
Portugal
0.55 %
141
Serbia flag
Serbia
0.55 %
142
Canada flag
Canada
0.45 %
143
Croatia flag
Croatia
0.35 %
144
Cyprus flag
Cyprus
0.25 %
145
Sweden flag
Sweden
0.2 %
146
United States flag
United States
0.2 %
147
Bulgaria flag
Bulgaria
0.15 %
148
Greece flag
Greece
0.15 %
149
Australia flag
Australia
0.105 %
150
Bermuda flag
Bermuda
0.1 %
151
Estonia flag
Estonia
0.1 %
152
United Kingdom flag
United Kingdom
0.1 %
153
Czech Republic flag
Czech Republic
0.05 %
154
Slovakia flag
Slovakia
0.05 %
155
Malta flag
Malta
0.038 %
156
Italy flag
Italy
0.02 %
157
Luxembourg flag
Luxembourg
0.006 %
158
Andorra flag
Andorra
0 %
159
Aruba flag
Aruba
0 %
160
Belgium flag
Belgium
0 %
161
Denmark flag
Denmark
0 %
162
Finland flag
Finland
0 %
163
France flag
France
0 %
164
Germany flag
Germany
0 %
165
Iceland flag
Iceland
0 %
166
Kuwait flag
Kuwait
0 %
167
Monaco flag
Monaco
0 %
168
Netherlands flag
Netherlands
0 %
169
New Zealand flag
New Zealand
0 %
170
Norway flag
Norway
0 %
171
Singapore flag
Singapore
0 %
172
Switzerland flag
Switzerland
0 %

Top 10 Countries

  1. #1South Sudan flagSouth Sudan
  2. #2Sudan flagSudan
  3. #3Chad flagChad
  4. #4Madagascar flagMadagascar
  5. #5Ethiopia flagEthiopia
  6. #6Mozambique flagMozambique
  7. #7Guinea-Bissau flagGuinea-Bissau
  8. #8Central African Republic flagCentral African Republic
  9. #9Congo, Democratic Republic of the flagCongo, Democratic Republic of the
  10. #10Liberia flagLiberia

Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.

Bottom 10 Countries

  1. #172Switzerland flagSwitzerland
  2. #171Singapore flagSingapore
  3. #170Norway flagNorway
  4. #169New Zealand flagNew Zealand
  5. #168Netherlands flagNetherlands
  6. #167Monaco flagMonaco
  7. #166Kuwait flagKuwait
  8. #165Iceland flagIceland
  9. #164Germany flagGermany
  10. #163France flagFrance

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.

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.

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Historical Data by Year

Explore Population living in slums data across different years. Compare trends and see how statistics have changed over time.

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