Population living in slums 2018

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.

180 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
77.902 %
4
Sudan flag
Sudan
73.7 %
5
Afghanistan flag
Afghanistan
73.3 %
6
Niger flag
Niger
70.444 %
7
Madagascar flag
Madagascar
69.822 %
8
Central African Republic flag
Central African Republic
68.913 %
9
Comoros flag
Comoros
68.6 %
10
Benin flag
Benin
68.326 %
11
Equatorial Guinea flag
Equatorial Guinea
64.674 %
12
Guinea-Bissau flag
Guinea-Bissau
64.42 %
13
Ethiopia flag
Ethiopia
64.314 %
14
Liberia flag
Liberia
63.885 %
15
Angola flag
Angola
62.581 %
16
Mozambique flag
Mozambique
58.473 %
17
Myanmar flag
Myanmar
58.281 %
18
Ecuador flag
Ecuador
57.8 %
19
Pakistan flag
Pakistan
57.499 %
20
Uganda flag
Uganda
56.701 %
21
Mauritania flag
Mauritania
56 %
22
Sierra Leone flag
Sierra Leone
53.384 %
23
Djibouti flag
Djibouti
53.371 %
24
Eritrea flag
Eritrea
53.371 %
25
Mauritius flag
Mauritius
53.371 %
26
Seychelles flag
Seychelles
53.371 %
27
Somalia flag
Somalia
53.371 %
28
Côte d'Ivoire flag
Côte d'Ivoire
53.211 %
29
Sao Tome and Principe flag
Sao Tome and Principe
52.6 %
30
Bangladesh flag
Bangladesh
52.513 %
31
Nigeria flag
Nigeria
51.495 %
32
Kenya flag
Kenya
50.813 %
33
Bhutan flag
Bhutan
50.665 %
34
Iran flag
Iran
50.665 %
35
Sri Lanka flag
Sri Lanka
50.665 %
36
Zambia flag
Zambia
49.811 %
37
Malawi flag
Malawi
49.785 %
38
Haiti flag
Haiti
49.533 %
39
Cabo Verde flag
Cabo Verde
49.2 %
40
Guinea flag
Guinea
48.173 %
41
Iraq flag
Iraq
47.795 %
42
Bolivia flag
Bolivia
46.626 %
43
Mali flag
Mali
46.124 %
44
Gabon flag
Gabon
44.333 %
45
Peru flag
Peru
44.218 %
46
Yemen flag
Yemen
44.2 %
47
Congo flag
Congo
44.184 %
48
Tanzania flag
Tanzania
43.009 %
49
Namibia flag
Namibia
41.4 %
50
Gambia flag
Gambia
40.696 %
51
Nepal flag
Nepal
40.282 %
52
Rwanda flag
Rwanda
40.09 %
53
Togo flag
Togo
40.082 %
54
Cambodia flag
Cambodia
39.7 %
55
Botswana flag
Botswana
39.589 %
56
Burundi flag
Burundi
39.505 %
57
Guatemala flag
Guatemala
37.6 %
58
Philippines flag
Philippines
37.319 %
59
Cameroon flag
Cameroon
35.941 %
60
Maldives flag
Maldives
35.403 %
61
Senegal flag
Senegal
35.16 %
62
Timor-Leste flag
Timor-Leste
33.9 %
63
Jordan flag
Jordan
33.9 %
64
Ghana flag
Ghana
33.487 %
65
Burkina Faso flag
Burkina Faso
32.116 %
66
Honduras flag
Honduras
31.5 %
67
Lesotho flag
Lesotho
29.684 %
68
Venezuela flag
Venezuela
25.7 %
69
Syrian Arab Republic flag
Syrian Arab Republic
25.182 %
70
South Africa flag
South Africa
24.182 %
71
Laos flag
Laos
23.6 %
72
Brunei Darussalam flag
Brunei Darussalam
22.436 %
73
Papua New Guinea flag
Papua New Guinea
22.4 %
74
Zimbabwe flag
Zimbabwe
22.164 %
75
Mongolia flag
Mongolia
21.851 %
76
Indonesia flag
Indonesia
20.238 %
77
State of Palestine flag
State of Palestine
19.5 %
78
Mexico flag
Mexico
17.6 %
79
Algeria flag
Algeria
17.17 %
80
El Salvador flag
El Salvador
16.5 %
81
Libya flag
Libya
16.382 %
82
Panama flag
Panama
16.3 %
83
Belize flag
Belize
15.729 %
84
Azerbaijan flag
Azerbaijan
15.52 %
85
Paraguay flag
Paraguay
15.053 %
86
Suriname flag
Suriname
14.963 %
87
Brazil flag
Brazil
14.897 %
88
Argentina flag
Argentina
14.5 %
89
Turkey flag
Turkey
14.126 %
90
Guyana flag
Guyana
13.787 %
91
Dominican Republic flag
Dominican Republic
11.249 %
92
Morocco flag
Morocco
10.851 %
93
Eswatini flag
Eswatini
10.808 %
94
Montenegro flag
Montenegro
10 %
95
Colombia flag
Colombia
9.7 %
96
Cuba flag
Cuba
9.493 %
97
Fiji flag
Fiji
9.4 %
98
Turkmenistan flag
Turkmenistan
8.757 %
99
Ireland flag
Ireland
8.5 %
100
Armenia flag
Armenia
8.395 %
101
Tunisia flag
Tunisia
8.143 %
102
Trinidad and Tobago flag
Trinidad and Tobago
7.876 %
103
Georgia flag
Georgia
7.846 %
104
Chile flag
Chile
7.317 %
105
Kyrgyzstan flag
Kyrgyzstan
6.911 %
106
Kiribati flag
Kiribati
6.85 %
107
South Korea flag
South Korea
6.8 %
108
Republic of Moldova flag
Republic of Moldova
6.5 %
109
Hungary flag
Hungary
5.87 %
110
Vietnam flag
Vietnam
5.766 %
111
Nicaragua flag
Nicaragua
5.519 %
112
India flag
India
5.41 %
113
Uzbekistan flag
Uzbekistan
5.36 %
114
Albania flag
Albania
5.3 %
115
Cayman Islands flag
Cayman Islands
4.593 %
116
Lebanon flag
Lebanon
4.5 %
117
Costa Rica flag
Costa Rica
4.461 %
118
Poland flag
Poland
4.3 %
119
Vanuatu flag
Vanuatu
4.15 %
120
Bosnia and Herzegovina flag
Bosnia and Herzegovina
4 %
121
Russia flag
Russia
2.85 %
122
Antigua and Barbuda flag
Antigua and Barbuda
2.646 %
123
Solomon Islands flag
Solomon Islands
1.95 %
124
Romania flag
Romania
1.85 %
125
Nauru flag
Nauru
1.797 %
126
Uruguay flag
Uruguay
1.3 %
127
Austria flag
Austria
1.135 %
128
Ukraine flag
Ukraine
1.1 %
129
Tuvalu flag
Tuvalu
0.995 %
130
Egypt flag
Egypt
0.9 %
131
Canada flag
Canada
0.8 %
132
Kazakhstan flag
Kazakhstan
0.794 %
133
Latvia flag
Latvia
0.6 %
134
Tonga flag
Tonga
0.6 %
135
Saint Lucia flag
Saint Lucia
0.45 %
136
Serbia flag
Serbia
0.4 %
137
Cyprus flag
Cyprus
0.3 %
138
Palau flag
Palau
0.3 %
139
Croatia flag
Croatia
0.25 %
140
Lithuania flag
Lithuania
0.25 %
141
Samoa flag
Samoa
0.25 %
142
Bulgaria flag
Bulgaria
0.2 %
143
North Macedonia flag
North Macedonia
0.15 %
144
Oman flag
Oman
0.15 %
145
United States flag
United States
0.15 %
146
British Virgin Islands flag
British Virgin Islands
0.136 %
147
Bermuda flag
Bermuda
0.1 %
148
Estonia flag
Estonia
0.1 %
149
Marshall Islands flag
Marshall Islands
0.1 %
150
Sweden flag
Sweden
0.1 %
151
United Arab Emirates flag
United Arab Emirates
0.1 %
152
United Kingdom flag
United Kingdom
0.1 %
153
Czech Republic flag
Czech Republic
0.05 %
154
Portugal flag
Portugal
0.05 %
155
Slovakia flag
Slovakia
0.05 %
156
Tajikistan flag
Tajikistan
0.05 %
157
Spain flag
Spain
0.049 %
158
Malta flag
Malta
0.038 %
159
Australia flag
Australia
0.035 %
160
Italy flag
Italy
0.02 %
161
Luxembourg flag
Luxembourg
0.017 %
162
Belarus flag
Belarus
0.004 %
163
Andorra flag
Andorra
0 %
164
Aruba flag
Aruba
0 %
165
Bahrain flag
Bahrain
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
Qatar flag
Qatar
0 %
178
Singapore flag
Singapore
0 %
179
Switzerland flag
Switzerland
0 %
180
Greece flag
Greece
-0.1 %

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. #7Madagascar flagMadagascar
  8. #8Central African Republic flagCentral African Republic
  9. #9Comoros flagComoros
  10. #10Benin flagBenin

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

Bottom 10 Countries

  1. #180Greece flagGreece
  2. #179Switzerland flagSwitzerland
  3. #178Singapore flagSingapore
  4. #177Qatar flagQatar
  5. #176Norway flagNorway
  6. #175New Zealand flagNew Zealand
  7. #174Netherlands flagNetherlands
  8. #173Monaco flagMonaco
  9. #172Kuwait flagKuwait
  10. #171Iceland flagIceland

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" is a critical indicator of urban poverty and living conditions. In 2018, this metric shed light on the housing challenges faced by numerous countries around the globe, highlighting the urgent need for improvements in urban infrastructure and policies aimed at enhancing the quality of life for millions living in substandard conditions. This article delves into the patterns and implications of slum populations in 2018, offering insights into the socio-economic and environmental factors at play.

Global Contrast: The Spectrum of Slum Dwellings

In 2018, the disparity in slum populations across the globe was striking. While some countries, including Qatar, Finland, and Switzerland, reported a remarkable 0% of their population living in slums, others faced significant challenges. South Sudan topped the list with a staggering 94.2% of its population residing in slum conditions, followed by Chad at 82% and the Democratic Republic of the Congo at 77.9%. This vast range, spanning from 0% to over 90%, underscores the diverse socio-economic landscapes and the varying levels of urban development globally.

Economic Implications and Housing Conditions

The prevalence of slums is deeply intertwined with economic factors. Countries with high percentages of their population in slums often face issues like poverty, unemployment, and inadequate urban planning. For instance, nations like Afghanistan (73.3%) and Madagascar (69.8%) struggle with economic instability, which exacerbates the housing deficit and forces many into informal settlements. Conversely, affluent nations with robust economic structures, such as Singapore and Denmark, reported no slum populations in 2018, illustrating the correlation between economic prosperity and improved living standards.

Regional Disparities and Urbanization Rates

A closer examination reveals significant regional disparities in slum populations. Africa, with countries like South Sudan and Chad, displayed some of the highest percentages, reflecting the continent's rapid urbanization rates and often insufficient infrastructure development. The challenges in these regions are compounded by political instability and resource constraints, making it difficult to provide adequate housing solutions. In contrast, regions like Europe and parts of Asia have managed to mitigate the expansion of slums through effective urban policies and investment in sustainable housing projects.

Policy Impact and Future Directions

Addressing the issue of slum populations requires a multi-faceted policy approach. Governments and international organizations have recognized the need for comprehensive strategies that include improving access to affordable housing, enhancing infrastructure, and fostering economic opportunities. The data from 2018 suggests that countries with proactive housing policies have made strides in reducing slum populations. For example, Latin American countries have seen improvements through slum upgrading programs and the regularization of land tenure, providing a blueprint for other regions grappling with similar challenges.

Environmental Connections and Sustainability

The environmental impact of slum dwellings is profound, influencing factors such as waste management, water quality, and overall urban sustainability. In many high-slum-population areas, inadequate infrastructure leads to environmental degradation, which further diminishes the quality of life. Sustainable development goals emphasize the need to create resilient cities that can support burgeoning urban populations without compromising environmental integrity. The data from 2018 highlights the urgency for integrating sustainable practices into urban planning to mitigate the adverse effects on both the environment and the communities residing in slums.

In conclusion, the "Population living in slums" statistic for 2018 reveals a complex interplay of economic, social, and environmental factors. While some countries have successfully alleviated the prevalence of slums through targeted policies and economic growth, others continue to face significant challenges. A concerted global effort focused on sustainable urban development, policy innovation, and economic empowerment is essential to address the housing crisis and enhance living conditions for millions 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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