Population living in slums 2023
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 | 81.464 % |
3 | Congo, Democratic Republic of the | 79.03 % |
4 | Mali | 77.043 % |
5 | Afghanistan | 73.244 % |
6 | Sao Tome and Principe | 72.859 % |
7 | Sudan | 72.187 % |
8 | Niger | 70.444 % |
9 | Central African Republic | 68.913 % |
10 | Angola | 66.658 % |
11 | Equatorial Guinea | 65.539 % |
12 | Burkina Faso | 65.029 % |
13 | Benin | 64.873 % |
14 | Madagascar | 64.307 % |
15 | Congo | 63.035 % |
16 | Ethiopia | 62.302 % |
17 | Myanmar | 60.367 % |
18 | Liberia | 60.339 % |
19 | Jordan | 60.15 % |
20 | Tanzania | 58.237 % |
21 | Ecuador | 57.858 % |
22 | Guinea-Bissau | 56.656 % |
23 | Mauritania | 56.191 % |
24 | Pakistan | 54.754 % |
25 | Comoros | 54.52 % |
26 | Mozambique | 52.148 % |
27 | Bangladesh | 51.101 % |
28 | Uganda | 50.929 % |
29 | Iraq | 50.574 % |
30 | Haiti | 49.468 % |
31 | Côte d'Ivoire | 48.745 % |
32 | Sierra Leone | 47.499 % |
33 | Djibouti | 47.426 % |
34 | Eritrea | 47.426 % |
35 | Mauritius | 47.426 % |
36 | Seychelles | 47.426 % |
37 | Somalia | 47.426 % |
38 | Zambia | 47.016 % |
39 | Nigeria | 46.633 % |
40 | Guinea | 46.14 % |
41 | Bolivia | 46.091 % |
42 | Bhutan | 45.878 % |
43 | Iran | 45.878 % |
44 | Sri Lanka | 45.878 % |
45 | Cabo Verde | 44.581 % |
46 | Zimbabwe | 44.412 % |
47 | Yemen | 43.822 % |
48 | Peru | 43.654 % |
49 | Kenya | 43.127 % |
50 | Laos | 42.448 % |
51 | Namibia | 41.368 % |
52 | Gabon | 40.441 % |
53 | Cambodia | 39.789 % |
54 | Malawi | 39.233 % |
55 | Senegal | 39.126 % |
56 | Nepal | 38.243 % |
57 | Botswana | 38.222 % |
58 | Guatemala | 36.928 % |
59 | Syrian Arab Republic | 36.898 % |
60 | Gambia | 36.182 % |
61 | Togo | 36.127 % |
62 | Rwanda | 35.825 % |
63 | Tuvalu | 35.812 % |
64 | Philippines | 35.077 % |
65 | Maldives | 34.037 % |
66 | Burundi | 32.875 % |
67 | Ghana | 32.479 % |
68 | Timor-Leste | 31.284 % |
69 | Cameroon | 30.056 % |
70 | Honduras | 27.609 % |
71 | China | 26.321 % |
72 | Venezuela | 25.331 % |
73 | Samoa | 24.002 % |
74 | South Africa | 23.955 % |
75 | North Korea | 23.036 % |
76 | Vietnam | 22.997 % |
77 | Papua New Guinea | 22.733 % |
78 | Lesotho | 22.249 % |
79 | Brunei Darussalam | 20.616 % |
80 | Libya | 18.602 % |
81 | Indonesia | 18.212 % |
82 | State of Palestine | 17.29 % |
83 | Mexico | 16.791 % |
84 | Suriname | 16.47 % |
85 | Belize | 15.722 % |
86 | Mongolia | 14.701 % |
87 | El Salvador | 14.691 % |
88 | Argentina | 14.29 % |
89 | Panama | 14.261 % |
90 | Brazil | 14.024 % |
91 | Turkey | 13.917 % |
92 | Paraguay | 13.159 % |
93 | Eswatini | 12.919 % |
94 | Cuba | 11.73 % |
95 | Dominican Republic | 10.54 % |
96 | Guyana | 10.237 % |
97 | Algeria | 10.127 % |
98 | Morocco | 10.014 % |
99 | Fiji | 9.1 % |
100 | Colombia | 9.044 % |
101 | Ireland | 8.66 % |
102 | Turkmenistan | 8.219 % |
103 | Trinidad and Tobago | 8.157 % |
104 | Armenia | 8.077 % |
105 | Azerbaijan | 8.016 % |
106 | Montenegro | 7.818 % |
107 | Tunisia | 7.243 % |
108 | Chile | 6.691 % |
109 | Georgia | 6.466 % |
110 | India | 5.41 % |
111 | Cayman Islands | 5.341 % |
112 | South Korea | 5.33 % |
113 | Poland | 5.238 % |
114 | Kiribati | 4.834 % |
115 | Uzbekistan | 4.699 % |
116 | Lebanon | 4.522 % |
117 | Nicaragua | 4.52 % |
118 | Hungary | 3.795 % |
119 | Vanuatu | 3.437 % |
120 | Sint Maarten (Dutch part) | 2.888 % |
121 | Costa Rica | 2.814 % |
122 | Saint Vincent and the Grenadines | 2.755 % |
123 | Antigua and Barbuda | 2.646 % |
124 | Russia | 2.596 % |
125 | Marshall Islands | 2.434 % |
126 | Egypt | 2.131 % |
127 | Romania | 2.007 % |
128 | Japan | 2 % |
129 | Thailand | 2 % |
130 | Republic of Moldova | 1.715 % |
131 | Solomon Islands | 1.587 % |
132 | French Polynesia | 1.5 % |
133 | United States Virgin Islands | 1.096 % |
134 | Serbia | 1.071 % |
135 | Canada | 1.057 % |
136 | Jamaica | 0.884 % |
137 | Nauru | 0.854 % |
138 | Albania | 0.73 % |
139 | Turks and Caicos Islands | 0.631 % |
140 | Guam | 0.552 % |
141 | Saudi Arabia | 0.55 % |
142 | Slovenia | 0.527 % |
143 | Latvia | 0.45 % |
144 | Croatia | 0.429 % |
145 | Palau | 0.413 % |
146 | Cyprus | 0.296 % |
147 | Estonia | 0.272 % |
148 | Sweden | 0.25 % |
149 | New Caledonia | 0.25 % |
150 | Bulgaria | 0.22 % |
151 | Malaysia | 0.2 % |
152 | Northern Mariana Islands | 0.2 % |
153 | Uruguay | 0.176 % |
154 | Tonga | 0.17 % |
155 | Lithuania | 0.156 % |
156 | United Kingdom | 0.144 % |
157 | North Macedonia | 0.127 % |
158 | United States | 0.093 % |
159 | Bermuda | 0.084 % |
160 | United Arab Emirates | 0.069 % |
161 | Saint Lucia | 0.068 % |
162 | Slovakia | 0.061 % |
163 | Tajikistan | 0.05 % |
164 | Spain | 0.046 % |
165 | Austria | 0.042 % |
166 | Malta | 0.038 % |
167 | Czech Republic | 0.034 % |
168 | Australia | 0.032 % |
169 | Portugal | 0.024 % |
170 | Italy | 0.02 % |
171 | Luxembourg | 0.019 % |
172 | Belarus | 0.004 % |
173 | Andorra | 0 % |
174 | Aruba | 0 % |
175 | Bahrain | 0 % |
176 | Belgium | 0 % |
177 | Denmark | 0 % |
178 | Finland | 0 % |
179 | France | 0 % |
180 | Germany | 0 % |
181 | Iceland | 0 % |
182 | Kuwait | 0 % |
183 | Monaco | 0 % |
184 | Netherlands | 0 % |
185 | New Zealand | 0 % |
186 | Norway | 0 % |
187 | Qatar | 0 % |
188 | Singapore | 0 % |
189 | Switzerland | 0 % |
190 | Ukraine | -0.055 % |
191 | Oman | -0.135 % |
192 | Greece | -0.225 % |
193 | Bosnia and Herzegovina | -0.24 % |
194 | British Virgin Islands | -0.39 % |
195 | Kazakhstan | -0.529 % |
196 | Kyrgyzstan | -1.138 % |
- #1
South Sudan
- #2
Chad
- #3
Congo, Democratic Republic of the
- #4
Mali
- #5
Afghanistan
- #6
Sao Tome and Principe
- #7
Sudan
- #8
Niger
- #9
Central African Republic
- #10
Angola
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #196
Kyrgyzstan
- #195
Kazakhstan
- #194
British Virgin Islands
- #193
Bosnia and Herzegovina
- #192
Greece
- #191
Oman
- #190
Ukraine
- #189
Switzerland
- #188
Singapore
- #187
Qatar
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.
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