Population living in slums 2015
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 | 83.129 % |
3 |  Congo, Democratic Republic of the | 76.52 % |
4 |  Sudan | 76.206 % |
5 |  Madagascar | 73.424 % |
6 |  Afghanistan | 70.908 % |
7 |  Niger | 70.444 % |
8 |  Guinea-Bissau | 69.834 % |
9 |  Ethiopia | 68.957 % |
10 |  Benin | 68.916 % |
11 |  Central African Republic | 68.913 % |
12 |  Comoros | 68.619 % |
13 |  Liberia | 66.563 % |
14 |  Mozambique | 63.743 % |
15 |  Equatorial Guinea | 62.929 % |
16 |  Uganda | 60.734 % |
17 |  Pakistan | 59.786 % |
18 |  Mauritania | 59.369 % |
19 |  Djibouti | 58.186 % |
20 |  Eritrea | 58.186 % |
21 |  Mauritius | 58.186 % |
22 |  Seychelles | 58.186 % |
23 |  Somalia | 58.186 % |
24 |  Ecuador | 57.8 % |
25 |  Sierra Leone | 57.491 % |
26 |  Côte d'Ivoire | 55.522 % |
27 |  Nigeria | 55.263 % |
28 |  Malawi | 55.056 % |
29 |  Sao Tome and Principe | 53.613 % |
30 |  Bangladesh | 53.48 % |
31 |  Myanmar | 53.467 % |
32 |  Angola | 53.384 % |
33 |  Cabo Verde | 52.67 % |
34 |  Mali | 52.416 % |
35 |  Zambia | 52.14 % |
36 |  Bhutan | 51.817 % |
37 |  Iran | 51.817 % |
38 |  Sri Lanka | 51.817 % |
39 |  Kenya | 51.587 % |
40 |  Haiti | 51.491 % |
41 |  Congo | 50.415 % |
42 |  Tanzania | 49.396 % |
43 |  Burundi | 47.549 % |
44 |  Guinea | 46.922 % |
45 |  Bolivia | 46.626 % |
46 |  Peru | 46.457 % |
47 |  Iraq | 45.478 % |
48 |  Rwanda | 45.312 % |
49 |  Togo | 44.947 % |
50 |  Yemen | 44.831 % |
51 |  Nepal | 44.62 % |
52 |  Gabon | 44.333 % |
53 |  Gambia | 43.4 % |
54 |  Botswana | 42.773 % |
55 |  Cambodia | 42.55 % |
56 |  Namibia | 41.439 % |
57 |  Cameroon | 40.845 % |
58 |  Senegal | 40.492 % |
59 |  Burkina Faso | 40.466 % |
60 |  Timor-Leste | 39.95 % |
61 |  Philippines | 39.428 % |
62 |  Guatemala | 38.721 % |
63 |  Maldives | 37.075 % |
64 |  Lesotho | 35.879 % |
65 |  Ghana | 35.167 % |
66 |  Honduras | 31.52 % |
67 |  Laos | 28.7 % |
68 |  Mongolia | 27.81 % |
69 |  Venezuela | 25.7 % |
70 |  South Africa | 24.753 % |
71 |  Brunei Darussalam | 24.419 % |
72 |  Syrian Arab Republic | 24.024 % |
73 |  Zimbabwe | 23.057 % |
74 |  Algeria | 23.029 % |
75 |  Indonesia | 22.719 % |
76 |  Papua New Guinea | 21.825 % |
77 |  State of Palestine | 20.491 % |
78 |  Azerbaijan | 20.023 % |
79 |  Paraguay | 19.549 % |
80 |  El Salvador | 19.479 % |
81 |  Mexico | 19.3 % |
82 |  Libya | 18.746 % |
83 |  Jordan | 18.15 % |
84 |  Panama | 17.398 % |
85 |  Guyana | 16.258 % |
86 |  Belize | 15.735 % |
87 |  Brazil | 14.897 % |
88 |  Argentina | 14.85 % |
89 |  Eswatini | 14.52 % |
90 |  Turkey | 14.475 % |
91 |  Suriname | 13.708 % |
92 |  Kyrgyzstan | 13.619 % |
93 |  Dominican Republic | 12.431 % |
94 |  Morocco | 12.245 % |
95 |  Montenegro | 11.8 % |
96 |  Colombia | 11.094 % |
97 |  Fiji | 9.9 % |
98 |  Turkmenistan | 9.132 % |
99 |  Armenia | 9.128 % |
100 |  Albania | 9.05 % |
101 |  Georgia | 8.996 % |
102 |  Tunisia | 8.894 % |
103 |  Kiribati | 8.725 % |
104 |  Uzbekistan | 8.672 % |
105 |  Vietnam | 8.238 % |
106 |  Ireland | 8.15 % |
107 |  Cuba | 7.921 % |
108 |  Trinidad and Tobago | 7.5 % |
109 |  Chile | 7.312 % |
110 |  Hungary | 7.2 % |
111 |  Republic of Moldova | 6.5 % |
112 |  Nicaragua | 5.953 % |
113 |  Costa Rica | 5.833 % |
114 |  South Korea | 5.25 % |
115 |  Lebanon | 4.5 % |
116 |  Cayman Islands | 4.15 % |
117 |  Vanuatu | 4.05 % |
118 |  Bosnia and Herzegovina | 4 % |
119 |  Kazakhstan | 3.578 % |
120 |  Uruguay | 3.174 % |
121 |  Russia | 2.95 % |
122 |  Antigua and Barbuda | 2.646 % |
123 |  Solomon Islands | 2.575 % |
124 |  Egypt | 2.277 % |
125 |  Poland | 2.275 % |
126 |  Romania | 2.25 % |
127 |  Austria | 1.951 % |
128 |  British Virgin Islands | 1.639 % |
129 |  Saint Lucia | 1.325 % |
130 |  Tuvalu | 1.153 % |
131 |  Ukraine | 1.1 % |
132 |  Latvia | 0.925 % |
133 |  Lithuania | 0.875 % |
134 |  Tonga | 0.85 % |
135 |  Samoa | 0.825 % |
136 |  Canada | 0.675 % |
137 |  Marshall Islands | 0.6 % |
138 |  Nauru | 0.55 % |
139 |  Palau | 0.525 % |
140 |  Serbia | 0.45 % |
141 |  North Macedonia | 0.4 % |
142 |  Oman | 0.4 % |
143 |  United Arab Emirates | 0.325 % |
144 |  Croatia | 0.275 % |
145 |  Cyprus | 0.275 % |
146 |  Bulgaria | 0.2 % |
147 |  United States | 0.2 % |
148 |  Portugal | 0.125 % |
149 |  Sweden | 0.125 % |
150 |  Bermuda | 0.1 % |
151 |  Estonia | 0.1 % |
152 |  United Kingdom | 0.1 % |
153 |  Czech Republic | 0.05 % |
154 |  Slovakia | 0.05 % |
155 |  Spain | 0.05 % |
156 |  Australia | 0.04 % |
157 |  Malta | 0.038 % |
158 |  Italy | 0.02 % |
159 |  Luxembourg | 0.015 % |
160 |  Belarus | 0.004 % |
161 |  Andorra | 0 % |
162 |  Aruba | 0 % |
163 |  Belgium | 0 % |
164 |  Denmark | 0 % |
165 |  Finland | 0 % |
166 |  France | 0 % |
167 |  Germany | 0 % |
168 |  Iceland | 0 % |
169 |  Kuwait | 0 % |
170 |  Monaco | 0 % |
171 |  Netherlands | 0 % |
172 |  New Zealand | 0 % |
173 |  Norway | 0 % |
174 |  Qatar | 0 % |
175 |  Singapore | 0 % |
176 |  Switzerland | 0 % |
177 |  Greece | -0.025 % |
- #1South Sudan
- #2Chad
- #3Congo, Democratic Republic of the
- #4Sudan
- #5Madagascar
- #6Afghanistan
- #7Niger
- #8Guinea-Bissau
- #9Ethiopia
- #10Benin
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #177Greece
- #176Switzerland
- #175Singapore
- #174Qatar
- #173Norway
- #172New Zealand
- #171Netherlands
- #170Monaco
- #169Kuwait
- #168Iceland
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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