Population living in slums 2012

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.

175 data pointsWorldUN Habitat

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Complete Data Rankings

Rank
1
South Sudan flag
South Sudan
94.202 %
2
Chad flag
Chad
84.82 %
3
Sudan flag
Sudan
83.833 %
4
Madagascar flag
Madagascar
77.026 %
5
Guinea-Bissau flag
Guinea-Bissau
75.248 %
6
Congo, Democratic Republic of the flag
Congo, Democratic Republic of the
75.138 %
7
Ethiopia flag
Ethiopia
73.6 %
8
Niger flag
Niger
70.386 %
9
Benin flag
Benin
69.506 %
10
Liberia flag
Liberia
69.24 %
11
Mozambique flag
Mozambique
69.014 %
12
Central African Republic flag
Central African Republic
68.913 %
13
Comoros flag
Comoros
68.046 %
14
Afghanistan flag
Afghanistan
67.248 %
15
Uganda flag
Uganda
64.768 %
16
Mauritania flag
Mauritania
64.434 %
17
Djibouti flag
Djibouti
62.17 %
18
Eritrea flag
Eritrea
62.17 %
19
Mauritius flag
Mauritius
62.17 %
20
Seychelles flag
Seychelles
62.17 %
21
Somalia flag
Somalia
62.17 %
22
Pakistan flag
Pakistan
62.073 %
23
Sierra Leone flag
Sierra Leone
61.597 %
24
Equatorial Guinea flag
Equatorial Guinea
61.417 %
25
Malawi flag
Malawi
60.327 %
26
Congo flag
Congo
59.763 %
27
Nigeria flag
Nigeria
59.032 %
28
Mali flag
Mali
58.708 %
29
Côte d'Ivoire flag
Côte d'Ivoire
57.833 %
30
Ecuador flag
Ecuador
57.8 %
31
Sao Tome and Principe flag
Sao Tome and Principe
56.52 %
32
Cabo Verde flag
Cabo Verde
56.461 %
33
Tanzania flag
Tanzania
55.782 %
34
Burundi flag
Burundi
55.593 %
35
Zambia flag
Zambia
54.469 %
36
Bangladesh flag
Bangladesh
54.446 %
37
Kenya flag
Kenya
53.906 %
38
Haiti flag
Haiti
53.45 %
39
Bhutan flag
Bhutan
52.944 %
40
Iran flag
Iran
52.944 %
41
Sri Lanka flag
Sri Lanka
52.944 %
42
Cambodia flag
Cambodia
51 %
43
Rwanda flag
Rwanda
50.533 %
44
Togo flag
Togo
49.812 %
45
Nepal flag
Nepal
48.958 %
46
Burkina Faso flag
Burkina Faso
48.815 %
47
Myanmar flag
Myanmar
48.654 %
48
Yemen flag
Yemen
48.083 %
49
Bolivia flag
Bolivia
46.626 %
50
Gabon flag
Gabon
46.204 %
51
Gambia flag
Gambia
46.104 %
52
Peru flag
Peru
46.083 %
53
Timor-Leste flag
Timor-Leste
46 %
54
Botswana flag
Botswana
45.957 %
55
Senegal flag
Senegal
45.825 %
56
Cameroon flag
Cameroon
45.749 %
57
Guinea flag
Guinea
45.67 %
58
Angola flag
Angola
44.187 %
59
Iraq flag
Iraq
43.161 %
60
Guatemala flag
Guatemala
42.076 %
61
Lesotho flag
Lesotho
42.075 %
62
Namibia flag
Namibia
41.663 %
63
Philippines flag
Philippines
41.537 %
64
Ghana flag
Ghana
40.207 %
65
Maldives flag
Maldives
38.748 %
66
Honduras flag
Honduras
33.88 %
67
Laos flag
Laos
33.8 %
68
Mongolia flag
Mongolia
33.769 %
69
Algeria flag
Algeria
28.887 %
70
El Salvador flag
El Salvador
28.483 %
71
Brunei Darussalam flag
Brunei Darussalam
27.042 %
72
Azerbaijan flag
Azerbaijan
26.927 %
73
Venezuela flag
Venezuela
25.7 %
74
Eswatini flag
Eswatini
25.656 %
75
Syrian Arab Republic flag
Syrian Arab Republic
25.434 %
76
South Africa flag
South Africa
25.325 %
77
Indonesia flag
Indonesia
25.201 %
78
Libya flag
Libya
24.3 %
79
Paraguay flag
Paraguay
24.044 %
80
Zimbabwe flag
Zimbabwe
23.95 %
81
State of Palestine flag
State of Palestine
23.351 %
82
Panama flag
Panama
22.807 %
83
Mexico flag
Mexico
21.873 %
84
Papua New Guinea flag
Papua New Guinea
21.3 %
85
Kyrgyzstan flag
Kyrgyzstan
20.327 %
86
Guyana flag
Guyana
18.729 %
87
Lebanon flag
Lebanon
17.085 %
88
Morocco flag
Morocco
16.427 %
89
Turkey flag
Turkey
16.217 %
90
Dominican Republic flag
Dominican Republic
15.976 %
91
Argentina flag
Argentina
15.938 %
92
Belize flag
Belize
15.741 %
93
Vietnam flag
Vietnam
15.654 %
94
Brazil flag
Brazil
14.897 %
95
Montenegro flag
Montenegro
13.6 %
96
Colombia flag
Colombia
13.11 %
97
Albania flag
Albania
12.9 %
98
Uzbekistan flag
Uzbekistan
12.835 %
99
Suriname flag
Suriname
12.452 %
100
Fiji flag
Fiji
11.4 %
101
Kiribati flag
Kiribati
10.6 %
102
Georgia flag
Georgia
10.147 %
103
Armenia flag
Armenia
9.862 %
104
Tunisia flag
Tunisia
9.644 %
105
Turkmenistan flag
Turkmenistan
9.507 %
106
Republic of Moldova flag
Republic of Moldova
9.4 %
107
Egypt flag
Egypt
9.165 %
108
Uruguay flag
Uruguay
8.773 %
109
Trinidad and Tobago flag
Trinidad and Tobago
7.94 %
110
Hungary flag
Hungary
7.9 %
111
Kazakhstan flag
Kazakhstan
7.754 %
112
Ireland flag
Ireland
7.7 %
113
Chile flag
Chile
7.307 %
114
Nicaragua flag
Nicaragua
7.255 %
115
Costa Rica flag
Costa Rica
7.206 %
116
South Korea flag
South Korea
7 %
117
Cuba flag
Cuba
6.348 %
118
Solomon Islands flag
Solomon Islands
4.6 %
119
Bosnia and Herzegovina flag
Bosnia and Herzegovina
4.3 %
120
Cayman Islands flag
Cayman Islands
4.15 %
121
Vanuatu flag
Vanuatu
4.15 %
122
Russia flag
Russia
3.15 %
123
Austria flag
Austria
2.767 %
124
Romania flag
Romania
2.65 %
125
Antigua and Barbuda flag
Antigua and Barbuda
2.646 %
126
Saint Lucia flag
Saint Lucia
2.2 %
127
Samoa flag
Samoa
1.85 %
128
Ukraine flag
Ukraine
1.8 %
129
British Virgin Islands flag
British Virgin Islands
1.639 %
130
Lithuania flag
Lithuania
1.55 %
131
Latvia flag
Latvia
1.3 %
132
Tonga flag
Tonga
1.1 %
133
Marshall Islands flag
Marshall Islands
1 %
134
Oman flag
Oman
1 %
135
Nauru flag
Nauru
0.9 %
136
Palau flag
Palau
0.85 %
137
North Macedonia flag
North Macedonia
0.65 %
138
Canada flag
Canada
0.55 %
139
Serbia flag
Serbia
0.5 %
140
United Arab Emirates flag
United Arab Emirates
0.5 %
141
Tuvalu flag
Tuvalu
0.35 %
142
Croatia flag
Croatia
0.3 %
143
Cyprus flag
Cyprus
0.25 %
144
Poland flag
Poland
0.25 %
145
Portugal flag
Portugal
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
United Kingdom flag
United Kingdom
0.1 %
152
Australia flag
Australia
0.065 %
153
Czech Republic flag
Czech Republic
0.05 %
154
Greece flag
Greece
0.05 %
155
Slovakia flag
Slovakia
0.05 %
156
Malta flag
Malta
0.038 %
157
Italy flag
Italy
0.02 %
158
Luxembourg flag
Luxembourg
0.011 %
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
Qatar flag
Qatar
0 %
174
Singapore flag
Singapore
0 %
175
Switzerland flag
Switzerland
0 %

Top 10 Countries

  1. #1South Sudan flagSouth Sudan
  2. #2Chad flagChad
  3. #3Sudan flagSudan
  4. #4Madagascar flagMadagascar
  5. #5Guinea-Bissau flagGuinea-Bissau
  6. #6Congo, Democratic Republic of the flagCongo, Democratic Republic of the
  7. #7Ethiopia flagEthiopia
  8. #8Niger flagNiger
  9. #9Benin flagBenin
  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. #175Switzerland flagSwitzerland
  2. #174Singapore flagSingapore
  3. #173Qatar flagQatar
  4. #172Norway flagNorway
  5. #171New Zealand flagNew Zealand
  6. #170Netherlands flagNetherlands
  7. #169Monaco flagMonaco
  8. #168Kuwait flagKuwait
  9. #167Iceland flagIceland
  10. #166Germany flagGermany

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" for the year 2012 serves as a critical indicator of urban poverty, housing inadequacies, and living conditions across the globe. By examining the percentage of people in each country who reside in slum areas, we can gain insight into the socioeconomic challenges faced by urban populations and the necessity for policy interventions aimed at improving living conditions in rapidly urbanizing regions.

In 2012, the issue of urban poverty was starkly highlighted by the alarming statistics of slum living conditions. Approximately 26.95% of people globally resided in slum areas, with a median of 17.09%, underscoring the widespread nature of this challenge. South Sudan reported the highest percentage of its population living in slums at a staggering 94.20%, reflecting the severe socioeconomic and political hurdles it faced as a newly independent nation. Meanwhile, other countries like Chad (84.82%) and Sudan (83.83%) followed closely, showcasing the pervasive nature of slum conditions in regions plagued by ongoing conflict and economic instability.

Regional Comparisons and Variations

Regional analysis reveals significant disparities in slum populations. African nations dominated the list of countries with the highest percentages of slum dwellers, with eight of the top ten countries being from the continent. This highlights Africa's unique challenges concerning rapid urbanization, lack of infrastructure, and limited access to affordable housing. In contrast, European countries like Finland, Denmark, and Norway reported a 0% slum population, indicating a stark contrast in living conditions and effective urban planning policies. Such comparisons underline the necessity for targeted international support and policy adaptations for countries struggling with high slum populations.

Policy Implications and Urban Planning

The widespread existence of slums in 2012 brought to light the urgent need for reformative urban planning and housing policies. Nations with high slum populations, such as Madagascar (77.03%) and Ethiopia (73.60%), were in dire need of effective strategies to address housing shortages and improve infrastructure. Meanwhile, countries with negligible slum populations demonstrated the benefits of comprehensive urban planning initiatives that prioritize sustainable development and equitable resource distribution. The data from 2012 serves as a pivotal reference point for policymakers aiming to design interventions that reduce urban poverty and enhance living standards globally.

Environmental and Socioeconomic Effects

Living in slums has far-reaching implications not only for the individuals and families directly affected but also for broader socioeconomic and environmental systems. Overcrowding, inadequate sanitation, and insufficient access to clean water are prevalent issues in slum areas, which can exacerbate public health challenges and environmental degradation. The 2012 statistics reveal the pressing need for integrated approaches that address these multifaceted issues, as slum conditions often hinder economic productivity and contribute to cycles of poverty. Understanding these dynamics is crucial for crafting policies that foster sustainable urban environments and improve quality of life.

The persistence of slum populations over time points to longstanding historical and structural factors that perpetuate inequality and hinder development. The data from 2012 indicates a continuation of trends observed in previous years, where developing regions consistently report higher percentages of slum dwellers. Addressing these issues requires a long-term commitment to structural reforms, international collaboration, and investment in sustainable development goals. The focus must be on creating inclusive cities that proffer equitable opportunities and resources for all, thus reducing the necessity for slum settlements.

Overall, the 2012 data on the population living in slums provides a critical lens through which to examine the complexities of urbanization and poverty. It underscores the urgent need for comprehensive and coordinated efforts to tackle the root causes of slum proliferation and highlights the essential role of policy innovation in fostering sustainable urban development on a global scale.

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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