Population living in slums 2001
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 |  Chad | 91.02 % |
2 |  Ethiopia | 90.624 % |
3 |  Madagascar | 90.235 % |
4 |  Mozambique | 88.339 % |
5 |  Congo | 87.806 % |
6 |  Central African Republic | 84.544 % |
7 |  Mauritania | 83.005 % |
8 |  Cambodia | 82 % |
9 |  Mali | 81.779 % |
10 |  Burundi | 79.7 % |
11 |  Malawi | 79.654 % |
12 |  Uganda | 79.557 % |
13 |  Burkina Faso | 79.428 % |
14 |  Tanzania | 79.199 % |
15 |  Djibouti | 75.75 % |
16 |  Eritrea | 75.75 % |
17 |  Mauritius | 75.75 % |
18 |  Seychelles | 75.75 % |
19 |  Somalia | 75.75 % |
20 |  Sierra Leone | 73.9 % |
21 |  Nigeria | 72.851 % |
22 |  Benin | 71.669 % |
23 |  Nicaragua | 70.967 % |
24 |  Pakistan | 70.459 % |
25 |  Niger | 70.067 % |
26 |  Cabo Verde | 69.748 % |
27 |  Rwanda | 69.68 % |
28 |  Togo | 67.65 % |
29 |  Côte d'Ivoire | 66.306 % |
30 |  Senegal | 65.377 % |
31 |  Nepal | 64.864 % |
32 |  Comoros | 64.79 % |
33 |  Cameroon | 63.729 % |
34 |  Zambia | 63.008 % |
35 |  Lesotho | 62.727 % |
36 |  Yemen | 62.501 % |
37 |  Kenya | 62.411 % |
38 |  Haiti | 60.631 % |
39 |  Sudan | 60.432 % |
40 |  Ghana | 58.688 % |
41 |  Bangladesh | 57.989 % |
42 |  Botswana | 57.631 % |
43 |  Ecuador | 57.63 % |
44 |  Bhutan | 57.197 % |
45 |  Iran | 57.197 % |
46 |  Sri Lanka | 57.197 % |
47 |  Bolivia | 56.813 % |
48 |  Equatorial Guinea | 56.505 % |
49 |  Gabon | 56.495 % |
50 |  Gambia | 56.019 % |
51 |  Mongolia | 55.618 % |
52 |  Eswatini | 55.352 % |
53 |  Guatemala | 54.378 % |
54 |  Laos | 52.7 % |
55 |  Philippines | 49.271 % |
56 |  Azerbaijan | 47.938 % |
57 |  Panama | 46.52 % |
58 |  Peru | 46.489 % |
59 |  Kyrgyzstan | 44.922 % |
60 |  Honduras | 44.4 % |
61 |  Vietnam | 42.845 % |
62 |  Namibia | 42.482 % |
63 |  Libya | 42.203 % |
64 |  Guinea | 41.082 % |
65 |  Paraguay | 40.529 % |
66 |  Egypt | 39.471 % |
67 |  Brunei Darussalam | 36.6 % |
68 |  Iraq | 34.666 % |
69 |  Indonesia | 34.299 % |
70 |  Brazil | 33.086 % |
71 |  Morocco | 31.761 % |
72 |  Syrian Arab Republic | 31.384 % |
73 |  Mexico | 31.305 % |
74 |  Myanmar | 31.004 % |
75 |  Dominican Republic | 28.974 % |
76 |  Uzbekistan | 28.094 % |
77 |  South Africa | 27.419 % |
78 |  Zimbabwe | 27.224 % |
79 |  Venezuela | 27.114 % |
80 |  Albania | 26.8 % |
81 |  Guyana | 26.1 % |
82 |  El Salvador | 25.702 % |
83 |  Republic of Moldova | 25.1 % |
84 |  Turkey | 23.884 % |
85 |  Uruguay | 23.7 % |
86 |  Kazakhstan | 23.066 % |
87 |  Colombia | 20.505 % |
88 |  Argentina | 19.929 % |
89 |  Papua New Guinea | 19.75 % |
90 |  Angola | 19.7 % |
91 |  Montenegro | 19.1 % |
92 |  Kiribati | 17.45 % |
93 |  Belize | 15.781 % |
94 |  Hungary | 14.8 % |
95 |  Georgia | 13.6 % |
96 |  Chile | 12.793 % |
97 |  Armenia | 12.552 % |
98 |  Costa Rica | 12.238 % |
99 |  Trinidad and Tobago | 11.06 % |
100 |  Turkmenistan | 10.5 % |
101 |  Solomon Islands | 10.4 % |
102 |  Fiji | 8.609 % |
103 |  Suriname | 7.849 % |
104 |  Ireland | 6.3 % |
105 |  Bosnia and Herzegovina | 5.1 % |
106 |  Ukraine | 5 % |
107 |  Saint Lucia | 4.85 % |
108 |  Samoa | 4.55 % |
109 |  Vanuatu | 4.55 % |
110 |  Austria | 4.45 % |
111 |  Oman | 4.125 % |
112 |  Lithuania | 3.925 % |
113 |  Russia | 3.6 % |
114 |  Nauru | 3.375 % |
115 |  British Virgin Islands | 3.313 % |
116 |  Tuvalu | 3.214 % |
117 |  Latvia | 2.8 % |
118 |  Cuba | 2.154 % |
119 |  Palau | 2.05 % |
120 |  Poland | 1.95 % |
121 |  Romania | 1.825 % |
122 |  Tonga | 1.8 % |
123 |  North Macedonia | 1.3 % |
124 |  Portugal | 1.175 % |
125 |  United Arab Emirates | 0.826 % |
126 |  Serbia | 0.65 % |
127 |  Croatia | 0.4 % |
128 |  Sweden | 0.275 % |
129 |  Canada | 0.25 % |
130 |  Greece | 0.25 % |
131 |  Cyprus | 0.2 % |
132 |  United States | 0.2 % |
133 |  Australia | 0.165 % |
134 |  United Kingdom | 0.1 % |
135 |  Bulgaria | 0.075 % |
136 |  Czech Republic | 0.05 % |
137 |  Estonia | 0.05 % |
138 |  Slovakia | 0.05 % |
139 |  Malta | 0.038 % |
140 |  Italy | 0.02 % |
141 |  Bermuda | 0.018 % |
142 |  Andorra | 0 % |
143 |  Aruba | 0 % |
144 |  Belgium | 0 % |
145 |  Denmark | 0 % |
146 |  Finland | 0 % |
147 |  France | 0 % |
148 |  Germany | 0 % |
149 |  Iceland | 0 % |
150 |  Kuwait | 0 % |
151 |  Luxembourg | 0 % |
152 |  Monaco | 0 % |
153 |  Netherlands | 0 % |
154 |  New Zealand | 0 % |
155 |  Norway | 0 % |
156 |  Singapore | 0 % |
157 |  Switzerland | 0 % |
- #1Chad
- #2Ethiopia
- #3Madagascar
- #4Mozambique
- #5Congo
- #6Central African Republic
- #7Mauritania
- #8Cambodia
- #9Mali
- #10Burundi
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #157Switzerland
- #156Singapore
- #155Norway
- #154New Zealand
- #153Netherlands
- #152Monaco
- #151Luxembourg
- #150Kuwait
- #149Iceland
- #148Germany
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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