Population living in slums 2021
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.
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Complete Data Rankings
Rank | ||
|---|---|---|
1 |  South Sudan | 94.2 % |
2 |  Chad | 82 % |
3 |  Congo, Democratic Republic of the | 78.362 % |
4 |  Sudan | 73.7 % |
5 |  Afghanistan | 72.445 % |
6 |  Niger | 70.444 % |
7 |  Central African Republic | 68.913 % |
8 |  Sao Tome and Principe | 67.497 % |
9 |  Mali | 67.213 % |
10 |  Madagascar | 66.569 % |
11 |  Benin | 65.972 % |
12 |  Equatorial Guinea | 64.803 % |
13 |  Ethiopia | 64.314 % |
14 |  Angola | 62.65 % |
15 |  Liberia | 62.181 % |
16 |  Guinea-Bissau | 59.905 % |
17 |  Congo | 59.763 % |
18 |  Comoros | 58.551 % |
19 |  Myanmar | 58.281 % |
20 |  Ecuador | 57.8 % |
21 |  Mauritania | 57.28 % |
22 |  Burkina Faso | 57.216 % |
23 |  Pakistan | 55.974 % |
24 |  Tanzania | 55.483 % |
25 |  Mozambique | 54.959 % |
26 |  Uganda | 53.347 % |
27 |  Bangladesh | 51.689 % |
28 |  Côte d'Ivoire | 50.736 % |
29 |  Djibouti | 50.312 % |
30 |  Eritrea | 50.312 % |
31 |  Mauritius | 50.312 % |
32 |  Seychelles | 50.312 % |
33 |  Somalia | 50.312 % |
34 |  Haiti | 49.98 % |
35 |  Sierra Leone | 49.963 % |
36 |  Jordan | 49.65 % |
37 |  Iraq | 49.339 % |
38 |  Nigeria | 48.74 % |
39 |  Zambia | 48.258 % |
40 |  Bhutan | 47.558 % |
41 |  Iran | 47.558 % |
42 |  Sri Lanka | 47.558 % |
43 |  Bolivia | 46.626 % |
44 |  Cabo Verde | 46.543 % |
45 |  Guinea | 46.482 % |
46 |  Kenya | 45.655 % |
47 |  Peru | 44.395 % |
48 |  Yemen | 44.2 % |
49 |  Malawi | 43.879 % |
50 |  Gabon | 41.553 % |
51 |  Namibia | 41.4 % |
52 |  Cambodia | 40.985 % |
53 |  Nepal | 40.169 % |
54 |  Botswana | 39.6 % |
55 |  Senegal | 39.008 % |
56 |  Togo | 38.48 % |
57 |  Rwanda | 38.349 % |
58 |  Laos | 38.32 % |
59 |  Zimbabwe | 38.225 % |
60 |  Gambia | 37.987 % |
61 |  Guatemala | 37.6 % |
62 |  Burundi | 36.776 % |
63 |  Philippines | 36.245 % |
64 |  Maldives | 34.845 % |
65 |  Timor-Leste | 33.91 % |
66 |  Ghana | 33.487 % |
67 |  Syrian Arab Republic | 33.35 % |
68 |  Cameroon | 32.672 % |
69 |  Honduras | 28.791 % |
70 |  Tuvalu | 25.895 % |
71 |  Venezuela | 25.7 % |
72 |  Lesotho | 25.553 % |
73 |  South Africa | 24.2 % |
74 |  Papua New Guinea | 22.534 % |
75 |  Brunei Darussalam | 21.662 % |
76 |  Libya | 20.131 % |
77 |  Indonesia | 19.411 % |
78 |  Vietnam | 19.133 % |
79 |  State of Palestine | 18.255 % |
80 |  Mongolia | 17.879 % |
81 |  Mexico | 17.6 % |
82 |  Samoa | 17.418 % |
83 |  El Salvador | 16.489 % |
84 |  Panama | 16.3 % |
85 |  Suriname | 15.8 % |
86 |  Belize | 15.725 % |
87 |  Paraguay | 15.1 % |
88 |  Brazil | 14.897 % |
89 |  Argentina | 14.5 % |
90 |  Turkey | 14.126 % |
91 |  Eswatini | 13.907 % |
92 |  Algeria | 13.256 % |
93 |  Guyana | 11.722 % |
94 |  Dominican Republic | 11.249 % |
95 |  Azerbaijan | 11.018 % |
96 |  Morocco | 10.851 % |
97 |  Cuba | 10.792 % |
98 |  Colombia | 9.7 % |
99 |  Fiji | 9.4 % |
100 |  Montenegro | 8.785 % |
101 |  Ireland | 8.5 % |
102 |  Turkmenistan | 8.444 % |
103 |  Trinidad and Tobago | 8.439 % |
104 |  Armenia | 8.395 % |
105 |  Tunisia | 7.643 % |
106 |  Chile | 7.322 % |
107 |  Georgia | 7.079 % |
108 |  Uzbekistan | 5.814 % |
109 |  Kiribati | 5.767 % |
110 |  India | 5.41 % |
111 |  Cayman Islands | 5.258 % |
112 |  South Korea | 5.05 % |
113 |  Nicaragua | 4.954 % |
114 |  Hungary | 4.625 % |
115 |  Lebanon | 4.515 % |
116 |  Poland | 3.959 % |
117 |  Vanuatu | 3.607 % |
118 |  Costa Rica | 3.546 % |
119 |  Republic of Moldova | 3.165 % |
120 |  Albania | 2.75 % |
121 |  Russia | 2.684 % |
122 |  Antigua and Barbuda | 2.646 % |
123 |  Kyrgyzstan | 2.439 % |
124 |  Egypt | 2.37 % |
125 |  Marshall Islands | 2.298 % |
126 |  Romania | 2.035 % |
127 |  Thailand | 2 % |
128 |  Solomon Islands | 1.95 % |
129 |  Uruguay | 1.3 % |
130 |  Canada | 0.948 % |
131 |  Serbia | 0.883 % |
132 |  Kazakhstan | 0.794 % |
133 |  Nauru | 0.597 % |
134 |  Latvia | 0.597 % |
135 |  Palau | 0.459 % |
136 |  Saint Lucia | 0.445 % |
137 |  Croatia | 0.389 % |
138 |  Lithuania | 0.379 % |
139 |  Tonga | 0.329 % |
140 |  Austria | 0.319 % |
141 |  Bosnia and Herzegovina | 0.313 % |
142 |  Ukraine | 0.295 % |
143 |  Cyprus | 0.286 % |
144 |  Bulgaria | 0.223 % |
145 |  Estonia | 0.223 % |
146 |  Sweden | 0.218 % |
147 |  North Macedonia | 0.214 % |
148 |  Malaysia | 0.2 % |
149 |  United Arab Emirates | 0.17 % |
150 |  British Virgin Islands | 0.136 % |
151 |  United Kingdom | 0.131 % |
152 |  United States | 0.122 % |
153 |  Bermuda | 0.089 % |
154 |  Slovakia | 0.058 % |
155 |  Portugal | 0.054 % |
156 |  Tajikistan | 0.05 % |
157 |  Spain | 0.047 % |
158 |  Czech Republic | 0.039 % |
159 |  Malta | 0.038 % |
160 |  Australia | 0.035 % |
161 |  Italy | 0.02 % |
162 |  Luxembourg | 0.017 % |
163 |  Belarus | 0.004 % |
164 |  Andorra | 0 % |
165 |  Aruba | 0 % |
166 |  Bahrain | 0 % |
167 |  Belgium | 0 % |
168 |  Denmark | 0 % |
169 |  Finland | 0 % |
170 |  France | 0 % |
171 |  Germany | 0 % |
172 |  Iceland | 0 % |
173 |  Kuwait | 0 % |
174 |  Monaco | 0 % |
175 |  Netherlands | 0 % |
176 |  New Zealand | 0 % |
177 |  Norway | 0 % |
178 |  Oman | 0 % |
179 |  Qatar | 0 % |
180 |  Singapore | 0 % |
181 |  Switzerland | 0 % |
182 |  Greece | -0.175 % |
- #1South Sudan
- #2Chad
- #3Congo, Democratic Republic of the
- #4Sudan
- #5Afghanistan
- #6Niger
- #7Central African Republic
- #8Sao Tome and Principe
- #9Mali
- #10Madagascar
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #182Greece
- #181Switzerland
- #180Singapore
- #179Qatar
- #178Oman
- #177Norway
- #176New Zealand
- #175Netherlands
- #174Monaco
- #173Kuwait
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
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.
Visit Data SourceHistorical Data by Year
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