Population living in slums 2020

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.

182 data pointsWorldUN Habitat

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Complete Data Rankings

Rank
1
South Sudan flag
South Sudan
94.2 %
2
Chad flag
Chad
82 %
3
Congo, Democratic Republic of the flag
Congo, Democratic Republic of the
78.362 %
4
Sudan flag
Sudan
73.7 %
5
Afghanistan flag
Afghanistan
73.3 %
6
Niger flag
Niger
70.444 %
7
Central African Republic flag
Central African Republic
68.913 %
8
Comoros flag
Comoros
68.6 %
9
Benin flag
Benin
67.933 %
10
Madagascar flag
Madagascar
67.42 %
11
Equatorial Guinea flag
Equatorial Guinea
64.918 %
12
Ethiopia flag
Ethiopia
64.314 %
13
Liberia flag
Liberia
63.885 %
14
Angola flag
Angola
62.6 %
15
Guinea-Bissau flag
Guinea-Bissau
60.81 %
16
Myanmar flag
Myanmar
58.281 %
17
Ecuador flag
Ecuador
57.8 %
18
Mauritania flag
Mauritania
56 %
19
Pakistan flag
Pakistan
55.974 %
20
Mozambique flag
Mozambique
54.959 %
21
Uganda flag
Uganda
54.012 %
22
Côte d'Ivoire flag
Côte d'Ivoire
53.211 %
23
Sao Tome and Principe flag
Sao Tome and Principe
52.6 %
24
Djibouti flag
Djibouti
51.938 %
25
Eritrea flag
Eritrea
51.938 %
26
Mauritius flag
Mauritius
51.938 %
27
Seychelles flag
Seychelles
51.938 %
28
Somalia flag
Somalia
51.938 %
29
Bangladesh flag
Bangladesh
51.869 %
30
Kenya flag
Kenya
50.813 %
31
Sierra Leone flag
Sierra Leone
50.647 %
32
Bhutan flag
Bhutan
50.426 %
33
Iran flag
Iran
50.426 %
34
Sri Lanka flag
Sri Lanka
50.426 %
35
Malawi flag
Malawi
49.785 %
36
Iraq flag
Iraq
49.339 %
37
Guinea flag
Guinea
49.007 %
38
Nigeria flag
Nigeria
48.982 %
39
Haiti flag
Haiti
48.9 %
40
Zambia flag
Zambia
48.258 %
41
Cabo Verde flag
Cabo Verde
46.675 %
42
Bolivia flag
Bolivia
46.626 %
43
Jordan flag
Jordan
44.4 %
44
Gabon flag
Gabon
44.333 %
45
Yemen flag
Yemen
44.2 %
46
Congo flag
Congo
44.184 %
47
Peru flag
Peru
43.731 %
48
Mali flag
Mali
41.929 %
49
Namibia flag
Namibia
41.4 %
50
Tanzania flag
Tanzania
40.881 %
51
Nepal flag
Nepal
40.282 %
52
Cambodia flag
Cambodia
39.7 %
53
Botswana flag
Botswana
39.6 %
54
Gambia flag
Gambia
38.893 %
55
Togo flag
Togo
38.5 %
56
Rwanda flag
Rwanda
38.349 %
57
Guatemala flag
Guatemala
37.6 %
58
Burundi flag
Burundi
36.8 %
59
Philippines flag
Philippines
36.616 %
60
Maldives flag
Maldives
34.845 %
61
Timor-Leste flag
Timor-Leste
33.9 %
62
Ghana flag
Ghana
33.487 %
63
Cameroon flag
Cameroon
32.672 %
64
Senegal flag
Senegal
31.605 %
65
Honduras flag
Honduras
29.382 %
66
Burkina Faso flag
Burkina Faso
26.55 %
67
Venezuela flag
Venezuela
25.7 %
68
Syrian Arab Republic flag
Syrian Arab Republic
25.575 %
69
Lesotho flag
Lesotho
25.553 %
70
South Africa flag
South Africa
24.2 %
71
Libya flag
Libya
23.681 %
72
Papua New Guinea flag
Papua New Guinea
22.8 %
73
Laos flag
Laos
21.8 %
74
Brunei Darussalam flag
Brunei Darussalam
21.727 %
75
Zimbabwe flag
Zimbabwe
21.568 %
76
State of Palestine flag
State of Palestine
19.5 %
77
Indonesia flag
Indonesia
19.411 %
78
Mongolia flag
Mongolia
17.879 %
79
Mexico flag
Mexico
17.6 %
80
El Salvador flag
El Salvador
16.5 %
81
Panama flag
Panama
16.3 %
82
Suriname flag
Suriname
15.8 %
83
Belize flag
Belize
15.725 %
84
Paraguay flag
Paraguay
15.1 %
85
Brazil flag
Brazil
14.897 %
86
Argentina flag
Argentina
14.5 %
87
Turkey flag
Turkey
14.126 %
88
Algeria flag
Algeria
13.265 %
89
Azerbaijan flag
Azerbaijan
12.519 %
90
Guyana flag
Guyana
12.14 %
91
Dominican Republic flag
Dominican Republic
11.249 %
92
Morocco flag
Morocco
10.851 %
93
Eswatini flag
Eswatini
10.808 %
94
Cuba flag
Cuba
10.542 %
95
Colombia flag
Colombia
9.7 %
96
Fiji flag
Fiji
9.4 %
97
Montenegro flag
Montenegro
8.8 %
98
Turkmenistan flag
Turkmenistan
8.507 %
99
Ireland flag
Ireland
8.5 %
100
Armenia flag
Armenia
8.395 %
101
Trinidad and Tobago flag
Trinidad and Tobago
8.252 %
102
Tunisia flag
Tunisia
7.643 %
103
Chile flag
Chile
7.321 %
104
Georgia flag
Georgia
7.079 %
105
Vietnam flag
Vietnam
5.766 %
106
Kiribati flag
Kiribati
5.6 %
107
South Korea flag
South Korea
5.6 %
108
Nicaragua flag
Nicaragua
5.519 %
109
India flag
India
5.41 %
110
Hungary flag
Hungary
5.04 %
111
Cayman Islands flag
Cayman Islands
5.036 %
112
Uzbekistan flag
Uzbekistan
4.527 %
113
Lebanon flag
Lebanon
4.5 %
114
Vanuatu flag
Vanuatu
4.15 %
115
Republic of Moldova flag
Republic of Moldova
3.89 %
116
Poland flag
Poland
3.7 %
117
Costa Rica flag
Costa Rica
3.546 %
118
Albania flag
Albania
2.8 %
119
Russia flag
Russia
2.75 %
120
Antigua and Barbuda flag
Antigua and Barbuda
2.646 %
121
Kyrgyzstan flag
Kyrgyzstan
2.439 %
122
Marshall Islands flag
Marshall Islands
2.221 %
123
Thailand flag
Thailand
2 %
124
Solomon Islands flag
Solomon Islands
1.95 %
125
Romania flag
Romania
1.55 %
126
Uruguay flag
Uruguay
1.3 %
127
Egypt flag
Egypt
0.9 %
128
Tuvalu flag
Tuvalu
0.89 %
129
Canada flag
Canada
0.8 %
130
Kazakhstan flag
Kazakhstan
0.794 %
131
Latvia flag
Latvia
0.6 %
132
Nauru flag
Nauru
0.597 %
133
Austria flag
Austria
0.591 %
134
Ukraine flag
Ukraine
0.47 %
135
Saint Lucia flag
Saint Lucia
0.45 %
136
Serbia flag
Serbia
0.35 %
137
Tonga flag
Tonga
0.35 %
138
Bosnia and Herzegovina flag
Bosnia and Herzegovina
0.313 %
139
Cyprus flag
Cyprus
0.3 %
140
Palau flag
Palau
0.3 %
141
Bulgaria flag
Bulgaria
0.25 %
142
Croatia flag
Croatia
0.25 %
143
Lithuania flag
Lithuania
0.25 %
144
Samoa flag
Samoa
0.25 %
145
United Arab Emirates flag
United Arab Emirates
0.227 %
146
Malaysia flag
Malaysia
0.2 %
147
North Macedonia flag
North Macedonia
0.15 %
148
United States flag
United States
0.15 %
149
British Virgin Islands flag
British Virgin Islands
0.136 %
150
Bermuda flag
Bermuda
0.1 %
151
Estonia flag
Estonia
0.1 %
152
Sweden flag
Sweden
0.1 %
153
United Kingdom flag
United Kingdom
0.1 %
154
Czech Republic flag
Czech Republic
0.05 %
155
Portugal flag
Portugal
0.05 %
156
Slovakia flag
Slovakia
0.05 %
157
Tajikistan flag
Tajikistan
0.05 %
158
Spain flag
Spain
0.047 %
159
Malta flag
Malta
0.038 %
160
Australia flag
Australia
0.035 %
161
Italy flag
Italy
0.02 %
162
Luxembourg flag
Luxembourg
0.017 %
163
Belarus flag
Belarus
0.004 %
164
Andorra flag
Andorra
0 %
165
Aruba flag
Aruba
0 %
166
Belgium flag
Belgium
0 %
167
Denmark flag
Denmark
0 %
168
Finland flag
Finland
0 %
169
France flag
France
0 %
170
Germany flag
Germany
0 %
171
Iceland flag
Iceland
0 %
172
Kuwait flag
Kuwait
0 %
173
Monaco flag
Monaco
0 %
174
Netherlands flag
Netherlands
0 %
175
New Zealand flag
New Zealand
0 %
176
Norway flag
Norway
0 %
177
Oman flag
Oman
0 %
178
Qatar flag
Qatar
0 %
179
Singapore flag
Singapore
0 %
180
Switzerland flag
Switzerland
0 %
181
Bahrain flag
Bahrain
0 %
182
Greece flag
Greece
-0.15 %

Top 10 Countries

  1. #1South Sudan flagSouth Sudan
  2. #2Chad flagChad
  3. #3Congo, Democratic Republic of the flagCongo, Democratic Republic of the
  4. #4Sudan flagSudan
  5. #5Afghanistan flagAfghanistan
  6. #6Niger flagNiger
  7. #7Central African Republic flagCentral African Republic
  8. #8Comoros flagComoros
  9. #9Benin flagBenin
  10. #10Madagascar flagMadagascar

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

Bottom 10 Countries

  1. #182Greece flagGreece
  2. #181Bahrain flagBahrain
  3. #180Switzerland flagSwitzerland
  4. #179Singapore flagSingapore
  5. #178Qatar flagQatar
  6. #177Oman flagOman
  7. #176Norway flagNorway
  8. #175New Zealand flagNew Zealand
  9. #174Netherlands flagNetherlands
  10. #173Monaco flagMonaco

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

Analysis & Context

The statistic of the "Population living in slums" for the year 2020 provides a critical insight into urban poverty and housing conditions across the globe. This metric measures the percentage of individuals residing in slum areas within various countries, underscoring significant inequalities in living standards and highlighting the need for targeted housing policies. Understanding these dynamics is essential for governments and organizations aiming to improve global living conditions.

Global Overview of Slum Populations in 2020

In 2020, the global average percentage of populations living in slums stood at 23.45%, with data available from 160 countries. This year showcased stark contrasts between nations, with some countries recording negligible slum populations while others revealed alarmingly high percentages. For instance, South Sudan had the highest rate, with 94.2% of its urban population living in slum conditions, reflecting ongoing challenges related to conflict, governance, and economic development. In stark contrast, countries such as Germany, Switzerland, and Singapore reported a 0% slum population, indicating effective urban planning and robust economic frameworks.

Regional Contrasts and Their Implications

Examining regional contrasts reveals insightful data patterns. African countries dominate the list of the highest percentages of populations living in slums, highlighting the continent's ongoing struggle with urban poverty and inadequate infrastructure. Countries such as Chad (82%), the Democratic Republic of the Congo (78.36%), and Sudan (73.7%) are notable examples where economic instability and rapid urbanization without adequate planning have exacerbated slum proliferation. Conversely, European countries generally exhibit minimal slum populations, attributing this to more developed economies and stronger governance structures.

Economic Factors and Urban Planning

The economic conditions and urban planning policies of a country significantly influence its slum population. In 2020, nations with stable economies and effective governance were better equipped to provide their citizens with adequate housing and infrastructure, thereby reducing slum populations. Countries like Germany and Switzerland are prime examples of how economic prosperity and comprehensive urban policies can lead to zero slum habitation. On the other hand, ongoing conflicts, political instability, and poor economic management in countries like South Sudan and Afghanistan contribute to high slum population percentages, as these factors hinder effective urban development and housing reforms.

Impacts on Health and Society

The widespread existence of slums has profound implications for health and social well-being. Slum areas often lack essential services such as clean water, sanitation, and adequate waste management, leading to heightened health risks. In 2020, the COVID-19 pandemic further underscored the vulnerabilities of slum populations, who faced increased transmission risks due to overcrowded living conditions and limited access to healthcare. Addressing these challenges is crucial for improving public health outcomes and enhancing the quality of life for millions living in these conditions.

Policy Initiatives and Future Outlook

As of 2020, several countries were prioritizing slum upgrades and housing policies to address the challenges of urban poverty. Initiatives such as providing affordable housing, improving infrastructure, and implementing inclusive urban planning are critical steps towards reducing slum populations. Additionally, international cooperation and funding can support these efforts, especially in low-income countries where national resources are limited. Looking ahead, the global community must continue to advocate for sustainable urban development to ensure that all individuals have access to safe and decent living conditions.

The year 2020 highlighted the ongoing challenge of slum populations across the world, emphasizing the need for concerted efforts in policy-making, economic development, and urban planning. By addressing these issues, countries can make significant strides in reducing urban poverty and improving the living standards of their populations.

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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