Population living in slums 2010

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.

174 data pointsWorldUN Habitat

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Complete Data Rankings

Rank
1
South Sudan flag
South Sudan
97.004 %
2
Sudan flag
Sudan
88.918 %
3
Chad flag
Chad
85.947 %
4
Madagascar flag
Madagascar
79.428 %
5
Ethiopia flag
Ethiopia
76.695 %
6
Guinea-Bissau flag
Guinea-Bissau
75.2 %
7
Congo, Democratic Republic of the flag
Congo, Democratic Republic of the
74.217 %
8
Mozambique flag
Mozambique
72.527 %
9
Central African Republic flag
Central African Republic
71.755 %
10
Liberia flag
Liberia
71.025 %
11
Niger flag
Niger
70.328 %
12
Benin flag
Benin
69.899 %
13
Mauritania flag
Mauritania
67.81 %
14
Uganda flag
Uganda
67.457 %
15
Comoros flag
Comoros
67.454 %
16
Nicaragua flag
Nicaragua
67.2 %
17
Congo flag
Congo
65.995 %
18
Djibouti flag
Djibouti
64.82 %
19
Eritrea flag
Eritrea
64.82 %
20
Mauritius flag
Mauritius
64.82 %
21
Seychelles flag
Seychelles
64.82 %
22
Somalia flag
Somalia
64.82 %
23
Afghanistan flag
Afghanistan
64.808 %
24
Sierra Leone flag
Sierra Leone
64.335 %
25
Malawi flag
Malawi
63.841 %
26
Pakistan flag
Pakistan
63.598 %
27
Mali flag
Mali
62.903 %
28
Nigeria flag
Nigeria
61.545 %
29
Burundi flag
Burundi
60.956 %
30
Equatorial Guinea flag
Equatorial Guinea
60.601 %
31
Tanzania flag
Tanzania
60.04 %
32
Côte d'Ivoire flag
Côte d'Ivoire
59.373 %
33
Cabo Verde flag
Cabo Verde
58.954 %
34
Sao Tome and Principe flag
Sao Tome and Principe
58.459 %
35
Ecuador flag
Ecuador
57.8 %
36
Cambodia flag
Cambodia
56.6 %
37
Zambia flag
Zambia
56.021 %
38
Kenya flag
Kenya
55.453 %
39
Bangladesh flag
Bangladesh
55.09 %
40
Haiti flag
Haiti
54.755 %
41
Burkina Faso flag
Burkina Faso
54.381 %
42
Rwanda flag
Rwanda
54.015 %
43
Bhutan flag
Bhutan
53.698 %
44
Iran flag
Iran
53.698 %
45
Sri Lanka flag
Sri Lanka
53.698 %
46
Togo flag
Togo
53.056 %
47
Nepal flag
Nepal
51.85 %
48
Yemen flag
Yemen
50.705 %
49
Timor-Leste flag
Timor-Leste
50 %
50
Senegal flag
Senegal
49.38 %
51
Cameroon flag
Cameroon
49.018 %
52
Botswana flag
Botswana
48.079 %
53
Gabon flag
Gabon
48.075 %
54
Gambia flag
Gambia
47.907 %
55
Bolivia flag
Bolivia
46.626 %
56
Lesotho flag
Lesotho
46.206 %
57
Myanmar flag
Myanmar
45.445 %
58
Guinea flag
Guinea
44.836 %
59
Guatemala flag
Guatemala
44.313 %
60
Ghana flag
Ghana
43.567 %
61
Philippines flag
Philippines
42.943 %
62
Lebanon flag
Lebanon
42.194 %
63
Namibia flag
Namibia
41.812 %
64
Iraq flag
Iraq
41.617 %
65
Maldives flag
Maldives
39.863 %
66
Peru flag
Peru
38.169 %
67
Angola flag
Angola
38.055 %
68
Mongolia flag
Mongolia
37.741 %
69
Laos flag
Laos
37.3 %
70
Honduras flag
Honduras
36.22 %
71
El Salvador flag
El Salvador
34.486 %
72
Eswatini flag
Eswatini
33.08 %
73
Algeria flag
Algeria
30.8 %
74
Brunei Darussalam flag
Brunei Darussalam
28.772 %
75
Libya flag
Libya
27.872 %
76
Panama flag
Panama
27.119 %
77
Paraguay flag
Paraguay
27.041 %
78
Syrian Arab Republic flag
Syrian Arab Republic
26.998 %
79
Azerbaijan flag
Azerbaijan
26.927 %
80
Indonesia flag
Indonesia
26.855 %
81
South Africa flag
South Africa
25.706 %
82
Venezuela flag
Venezuela
25.7 %
83
State of Palestine flag
State of Palestine
25.258 %
84
Kyrgyzstan flag
Kyrgyzstan
24.799 %
85
Zimbabwe flag
Zimbabwe
24.545 %
86
Mexico flag
Mexico
23.588 %
87
Papua New Guinea flag
Papua New Guinea
20.9 %
88
Vietnam flag
Vietnam
20.598 %
89
Guyana flag
Guyana
20.376 %
90
Morocco flag
Morocco
19.215 %
91
Dominican Republic flag
Dominican Republic
18.339 %
92
Brazil flag
Brazil
18.204 %
93
Turkey flag
Turkey
17.611 %
94
Argentina flag
Argentina
16.664 %
95
Belize flag
Belize
15.745 %
96
Uzbekistan flag
Uzbekistan
15.63 %
97
Albania flag
Albania
15.4 %
98
Montenegro flag
Montenegro
14.9 %
99
Egypt flag
Egypt
14.675 %
100
Colombia flag
Colombia
14.455 %
101
Fiji flag
Fiji
12.5 %
102
Uruguay flag
Uruguay
12.499 %
103
Republic of Moldova flag
Republic of Moldova
12.3 %
104
Kiribati flag
Kiribati
11.8 %
105
Suriname flag
Suriname
11.615 %
106
Georgia flag
Georgia
10.914 %
107
Kazakhstan flag
Kazakhstan
10.538 %
108
Armenia flag
Armenia
10.351 %
109
Tunisia flag
Tunisia
10.144 %
110
Turkmenistan flag
Turkmenistan
9.757 %
111
South Korea flag
South Korea
9.3 %
112
Hungary flag
Hungary
9.1 %
113
Trinidad and Tobago flag
Trinidad and Tobago
8.72 %
114
Costa Rica flag
Costa Rica
8.121 %
115
Ireland flag
Ireland
7.5 %
116
Chile flag
Chile
7.303 %
117
Solomon Islands flag
Solomon Islands
6.05 %
118
Cuba flag
Cuba
5.299 %
119
Bosnia and Herzegovina flag
Bosnia and Herzegovina
4.5 %
120
Vanuatu flag
Vanuatu
4.25 %
121
Cayman Islands flag
Cayman Islands
4.15 %
122
Austria flag
Austria
3.312 %
123
Russia flag
Russia
3.2 %
124
Romania flag
Romania
2.95 %
125
Saint Lucia flag
Saint Lucia
2.75 %
126
Antigua and Barbuda flag
Antigua and Barbuda
2.646 %
127
Samoa flag
Samoa
2.55 %
128
Ukraine flag
Ukraine
2.5 %
129
Lithuania flag
Lithuania
2 %
130
British Virgin Islands flag
British Virgin Islands
1.988 %
131
Oman flag
Oman
1.65 %
132
Latvia flag
Latvia
1.6 %
133
Tuvalu flag
Tuvalu
1.45 %
134
Marshall Islands flag
Marshall Islands
1.35 %
135
Nauru flag
Nauru
1.35 %
136
Tonga flag
Tonga
1.25 %
137
Palau flag
Palau
1.05 %
138
North Macedonia flag
North Macedonia
0.8 %
139
United Arab Emirates flag
United Arab Emirates
0.65 %
140
Poland flag
Poland
0.55 %
141
Canada flag
Canada
0.5 %
142
Serbia flag
Serbia
0.5 %
143
Portugal flag
Portugal
0.4 %
144
Croatia flag
Croatia
0.35 %
145
Cyprus flag
Cyprus
0.25 %
146
United States flag
United States
0.2 %
147
Bulgaria flag
Bulgaria
0.15 %
148
Sweden flag
Sweden
0.15 %
149
Bermuda flag
Bermuda
0.1 %
150
Estonia flag
Estonia
0.1 %
151
Greece flag
Greece
0.1 %
152
United Kingdom flag
United Kingdom
0.1 %
153
Australia flag
Australia
0.085 %
154
Czech Republic flag
Czech Republic
0.05 %
155
Slovakia flag
Slovakia
0.05 %
156
Malta flag
Malta
0.038 %
157
Italy flag
Italy
0.02 %
158
Luxembourg flag
Luxembourg
0.008 %
159
Belarus flag
Belarus
0.004 %
160
Andorra flag
Andorra
0 %
161
Aruba flag
Aruba
0 %
162
Belgium flag
Belgium
0 %
163
Denmark flag
Denmark
0 %
164
Finland flag
Finland
0 %
165
France flag
France
0 %
166
Germany flag
Germany
0 %
167
Iceland flag
Iceland
0 %
168
Kuwait flag
Kuwait
0 %
169
Monaco flag
Monaco
0 %
170
Netherlands flag
Netherlands
0 %
171
New Zealand flag
New Zealand
0 %
172
Norway flag
Norway
0 %
173
Singapore flag
Singapore
0 %
174
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. #6Guinea-Bissau flagGuinea-Bissau
  7. #7Congo, Democratic Republic of the flagCongo, Democratic Republic of the
  8. #8Mozambique flagMozambique
  9. #9Central African Republic flagCentral African Republic
  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. #174Switzerland flagSwitzerland
  2. #173Singapore flagSingapore
  3. #172Norway flagNorway
  4. #171New Zealand flagNew Zealand
  5. #170Netherlands flagNetherlands
  6. #169Monaco flagMonaco
  7. #168Kuwait flagKuwait
  8. #167Iceland flagIceland
  9. #166Germany flagGermany
  10. #165France flagFrance

Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.

Analysis & Context

The statistic of "Population living in slums" serves as a critical indicator of urban poverty and living conditions worldwide. In 2010, this measure not only highlighted the socio-economic disparities among nations but also underscored the urgent need for sustainable urban development and effective housing policies. With data collected from 169 countries, this metric reveals a stark picture of global urbanization challenges, where the average percentage of populations residing in slums stood at 28.79%, with values ranging from 0% in several developed nations to a staggering 97% in South Sudan.

Global Slum Distribution in 2010

The distribution of populations living in slums in 2010 presents a significant geographical divide. The top ten countries with the highest percentages were predominantly in Africa, with South Sudan leading at 97.0038%, followed by Sudan (88.9183%), and Chad (85.9474%). This concentration highlights the acute urban challenges faced by African nations, where rapid urbanization often outpaces infrastructure development. Conversely, countries such as Denmark, Iceland, and Singapore reported 0% of their populations living in slums, reflecting robust urban planning and economic stability. This stark contrast underscores the disparities in urban living conditions and the need for targeted interventions in high-slum-population areas.

Socio-Economic Implications of Slum Living

Living in slums is often associated with inadequate access to basic services, such as clean water, sanitation, and electricity, which exacerbates poverty and limits economic opportunities. In nations like Madagascar (79.4279%) and Ethiopia (76.6954%), a significant portion of the urban populace resides in such conditions, impacting public health and economic productivity. The prevalence of slum living can hinder human capital development by affecting education and health outcomes, thereby perpetuating cycles of poverty. Addressing these socio-economic challenges requires integrated policies that not only improve housing but also enhance access to essential services and economic opportunities.

Regional Comparisons and Trends

Analyzing regional trends in 2010, Africa emerges as the continent with the highest proportion of slum dwellers, which is reflective of its urbanization pressures and economic disparities. The Democratic Republic of the Congo (74.2171%) and Mozambique (72.5272%) exemplify countries where political instability and economic constraints contribute to high slum populations. Meanwhile, Latin America, while improving, still faces challenges in countries like Bolivia and Guatemala, although not as pronounced as in African nations. These regional variations suggest that while the issue of slums is prevalent globally, its intensity and underlying causes vary, necessitating tailored regional strategies.

Policy and Development Strategies

Addressing the challenges posed by slum populations requires comprehensive policy frameworks and development strategies. In 2010, various international organizations and governments prioritized slum upgrading as part of their urban development agendas. Strategies ranged from improving infrastructure and housing conditions to promoting inclusive economic growth and social integration. For instance, the UN's focus on Sustainable Development Goals has emphasized the importance of making cities inclusive, safe, and resilient. In countries like India and Brazil, slum upgrading projects coupled with economic development initiatives have shown some success, although challenges remain in scalability and sustainability.

Future Outlook and Challenges

The persistence of slum populations in 2010 highlights the ongoing challenges in achieving sustainable urbanization. With global urban populations continuing to rise, the demand for affordable housing and infrastructure will only intensify. Future strategies must account for demographic trends, economic shifts, and environmental considerations to effectively curtail the expansion of slums. Innovations in urban planning, policy integration, and international cooperation will be crucial in transforming slums into sustainable urban communities. As nations strive towards these goals, monitoring and analyzing slum population trends will remain a vital component of global urban development efforts.

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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