Population living in slums 2026
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 |  Mali | 88.348 % |
3 |  Chad | 80.781 % |
4 |  Congo, Democratic Republic of the | 79.993 % |
5 |  Sao Tome and Principe | 79.886 % |
6 |  Jordan | 75.9 % |
7 |  Afghanistan | 74.252 % |
8 |  Burkina Faso | 74.074 % |
9 |  Angola | 71.904 % |
10 |  Niger | 70.444 % |
11 |  Sudan | 70.375 % |
12 |  Central African Republic | 68.913 % |
13 |  Congo | 67.366 % |
14 |  Equatorial Guinea | 66.554 % |
15 |  Benin | 63.365 % |
16 |  Myanmar | 63.095 % |
17 |  Tanzania | 61.382 % |
18 |  Madagascar | 60.886 % |
19 |  Ethiopia | 59.672 % |
20 |  Liberia | 57.935 % |
21 |  Ecuador | 57.904 % |
22 |  Mauritania | 54.818 % |
23 |  Pakistan | 52.863 % |
24 |  Iraq | 52.49 % |
25 |  Zimbabwe | 52.336 % |
26 |  Guinea-Bissau | 51.709 % |
27 |  Bangladesh | 50.209 % |
28 |  Comoros | 49.28 % |
29 |  Tuvalu | 48.684 % |
30 |  Haiti | 48.673 % |
31 |  Mozambique | 47.791 % |
32 |  Laos | 47.446 % |
33 |  Uganda | 47.249 % |
34 |  Côte d'Ivoire | 46.148 % |
35 |  Guinea | 45.861 % |
36 |  Bolivia | 45.612 % |
37 |  Zambia | 45.091 % |
38 |  Sierra Leone | 43.749 % |
39 |  Bhutan | 43.642 % |
40 |  Iran | 43.642 % |
41 |  Sri Lanka | 43.642 % |
42 |  Nigeria | 43.391 % |
43 |  Yemen | 43.367 % |
44 |  Djibouti | 43.353 % |
45 |  Eritrea | 43.353 % |
46 |  Mauritius | 43.353 % |
47 |  Seychelles | 43.353 % |
48 |  Somalia | 43.353 % |
49 |  Peru | 42.575 % |
50 |  Syrian Arab Republic | 41.638 % |
51 |  Cabo Verde | 41.536 % |
52 |  Namibia | 41.331 % |
53 |  Kenya | 39.888 % |
54 |  Gabon | 38.995 % |
55 |  Senegal | 38.567 % |
56 |  Cambodia | 38.405 % |
57 |  Botswana | 36.422 % |
58 |  Guatemala | 36.121 % |
59 |  Nepal | 35.726 % |
60 |  Gambia | 33.476 % |
61 |  Philippines | 33.415 % |
62 |  Malawi | 33.175 % |
63 |  Maldives | 32.871 % |
64 |  Togo | 32.743 % |
65 |  Samoa | 32.573 % |
66 |  Rwanda | 32.187 % |
67 |  Ghana | 31.269 % |
68 |  Vietnam | 28.168 % |
69 |  Timor-Leste | 27.854 % |
70 |  Burundi | 27.249 % |
71 |  China | 26.321 % |
72 |  Cameroon | 26.003 % |
73 |  Honduras | 25.836 % |
74 |  Venezuela | 25.026 % |
75 |  South Africa | 23.638 % |
76 |  Papua New Guinea | 23.073 % |
77 |  North Korea | 23.036 % |
78 |  Brunei Darussalam | 19.131 % |
79 |  Libya | 18.098 % |
80 |  Suriname | 17.508 % |
81 |  Lesotho | 17.127 % |
82 |  Indonesia | 16.483 % |
83 |  State of Palestine | 15.843 % |
84 |  Mexico | 15.76 % |
85 |  Belize | 15.717 % |
86 |  Argentina | 14.038 % |
87 |  Turkey | 13.666 % |
88 |  Brazil | 13.194 % |
89 |  Cuba | 13.16 % |
90 |  El Salvador | 12.535 % |
91 |  Panama | 12.039 % |
92 |  Eswatini | 11.858 % |
93 |  Paraguay | 10.63 % |
94 |  Mongolia | 9.775 % |
95 |  Dominican Republic | 9.689 % |
96 |  Morocco | 9.011 % |
97 |  Ireland | 8.866 % |
98 |  Fiji | 8.74 % |
99 |  Colombia | 8.207 % |
100 |  Trinidad and Tobago | 8.022 % |
101 |  Guyana | 7.977 % |
102 |  Turkmenistan | 7.877 % |
103 |  Armenia | 7.661 % |
104 |  Poland | 6.642 % |
105 |  Tunisia | 6.623 % |
106 |  Montenegro | 6.322 % |
107 |  Chile | 6.181 % |
108 |  Cayman Islands | 5.598 % |
109 |  Georgia | 5.514 % |
110 |  South Korea | 5.462 % |
111 |  India | 5.41 % |
112 |  Algeria | 5.28 % |
113 |  Lebanon | 4.53 % |
114 |  Nicaragua | 3.869 % |
115 |  Azerbaijan | 3.514 % |
116 |  Kiribati | 3.371 % |
117 |  Vanuatu | 3.215 % |
118 |  Uzbekistan | 3.103 % |
119 |  Marshall Islands | 3.022 % |
120 |  Sint Maarten (Dutch part) | 2.888 % |
121 |  Saint Vincent and the Grenadines | 2.755 % |
122 |  Antigua and Barbuda | 2.646 % |
123 |  Hungary | 2.55 % |
124 |  Russia | 2.462 % |
125 |  Japan | 2 % |
126 |  Thailand | 2 % |
127 |  Romania | 1.912 % |
128 |  Egypt | 1.903 % |
129 |  Costa Rica | 1.679 % |
130 |  French Polynesia | 1.5 % |
131 |  Serbia | 1.303 % |
132 |  Canada | 1.201 % |
133 |  Solomon Islands | 1.149 % |
134 |  United States Virgin Islands | 1.096 % |
135 |  Nauru | 0.997 % |
136 |  Jamaica | 0.883 % |
137 |  Turks and Caicos Islands | 0.631 % |
138 |  Guam | 0.552 % |
139 |  Saudi Arabia | 0.55 % |
140 |  Slovenia | 0.527 % |
141 |  Croatia | 0.483 % |
142 |  Palau | 0.357 % |
143 |  Estonia | 0.336 % |
144 |  Cyprus | 0.306 % |
145 |  Sweden | 0.294 % |
146 |  Latvia | 0.26 % |
147 |  New Caledonia | 0.25 % |
148 |  Bulgaria | 0.226 % |
149 |  Malaysia | 0.2 % |
150 |  Northern Mariana Islands | 0.2 % |
151 |  United Kingdom | 0.16 % |
152 |  Bermuda | 0.079 % |
153 |  Slovakia | 0.065 % |
154 |  United States | 0.053 % |
155 |  Tajikistan | 0.05 % |
156 |  Spain | 0.044 % |
157 |  Malta | 0.038 % |
158 |  Australia | 0.028 % |
159 |  Czech Republic | 0.028 % |
160 |  Luxembourg | 0.02 % |
161 |  Italy | 0.02 % |
162 |  North Macedonia | 0.015 % |
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 |  Qatar | 0 % |
179 |  Singapore | 0 % |
180 |  Switzerland | 0 % |
181 |  Portugal | -0.016 % |
182 |  United Arab Emirates | -0.039 % |
183 |  Tonga | -0.084 % |
184 |  Lithuania | -0.135 % |
185 |  Greece | -0.3 % |
186 |  Oman | -0.339 % |
187 |  Saint Lucia | -0.426 % |
188 |  Republic of Moldova | -0.46 % |
189 |  Austria | -0.523 % |
190 |  Ukraine | -0.58 % |
191 |  British Virgin Islands | -1.127 % |
192 |  Uruguay | -1.173 % |
193 |  Bosnia and Herzegovina | -1.678 % |
194 |  Kazakhstan | -2.213 % |
195 |  Albania | -2.396 % |
196 |  Kyrgyzstan | -6.683 % |
- #1South Sudan
- #2Mali
- #3Chad
- #4Congo, Democratic Republic of the
- #5Sao Tome and Principe
- #6Jordan
- #7Afghanistan
- #8Burkina Faso
- #9Angola
- #10Niger
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #196Kyrgyzstan
- #195Albania
- #194Kazakhstan
- #193Bosnia and Herzegovina
- #192Uruguay
- #191British Virgin Islands
- #190Ukraine
- #189Austria
- #188Republic of Moldova
- #187Saint Lucia
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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