Population living in slums 2017
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 | 82.283 % |
3 | Congo, Democratic Republic of the | 77.441 % |
4 | Sudan | 73.682 % |
5 | Afghanistan | 72.714 % |
6 | Madagascar | 71.022 % |
7 | Niger | 70.444 % |
8 | Central African Republic | 68.913 % |
9 | Comoros | 68.6 % |
10 | Benin | 68.523 % |
11 | Guinea-Bissau | 66.224 % |
12 | Ethiopia | 65.862 % |
13 | Liberia | 64.777 % |
14 | Equatorial Guinea | 64.073 % |
15 | Mozambique | 60.229 % |
16 | Angola | 59.515 % |
17 | Pakistan | 58.261 % |
18 | Uganda | 58.046 % |
19 | Ecuador | 57.8 % |
20 | Mauritania | 56.84 % |
21 | Myanmar | 56.677 % |
22 | Djibouti | 55.107 % |
23 | Eritrea | 55.107 % |
24 | Mauritius | 55.107 % |
25 | Seychelles | 55.107 % |
26 | Somalia | 55.107 % |
27 | Sierra Leone | 54.753 % |
28 | Côte d'Ivoire | 53.981 % |
29 | Bangladesh | 52.835 % |
30 | Nigeria | 52.751 % |
31 | Sao Tome and Principe | 52.622 % |
32 | Malawi | 51.542 % |
33 | Bhutan | 51.053 % |
34 | Iran | 51.053 % |
35 | Sri Lanka | 51.053 % |
36 | Kenya | 50.813 % |
37 | Zambia | 50.587 % |
38 | Cabo Verde | 50.302 % |
39 | Haiti | 50.185 % |
40 | Mali | 48.221 % |
41 | Guinea | 47.756 % |
42 | Iraq | 47.022 % |
43 | Bolivia | 46.626 % |
44 | Congo | 45.742 % |
45 | Tanzania | 45.138 % |
46 | Peru | 45.04 % |
47 | Gabon | 44.333 % |
48 | Yemen | 44.2 % |
49 | Burundi | 42.187 % |
50 | Rwanda | 41.83 % |
51 | Nepal | 41.728 % |
52 | Togo | 41.704 % |
53 | Gambia | 41.597 % |
54 | Namibia | 41.382 % |
55 | Botswana | 40.65 % |
56 | Cambodia | 39.7 % |
57 | Philippines | 38.022 % |
58 | Guatemala | 37.601 % |
59 | Cameroon | 37.576 % |
60 | Senegal | 36.937 % |
61 | Maldives | 35.96 % |
62 | Timor-Leste | 35.9 % |
63 | Burkina Faso | 34.899 % |
64 | Ghana | 33.487 % |
65 | Lesotho | 31.749 % |
66 | Honduras | 31.5 % |
67 | Jordan | 28.65 % |
68 | Venezuela | 25.7 % |
69 | Laos | 25.3 % |
70 | Syrian Arab Republic | 24.55 % |
71 | South Africa | 24.373 % |
72 | Mongolia | 23.838 % |
73 | Brunei Darussalam | 22.988 % |
74 | Zimbabwe | 22.461 % |
75 | Papua New Guinea | 22.2 % |
76 | Indonesia | 21.065 % |
77 | State of Palestine | 19.519 % |
78 | Algeria | 19.123 % |
79 | Mexico | 18.021 % |
80 | Azerbaijan | 17.021 % |
81 | Libya | 16.81 % |
82 | Paraguay | 16.551 % |
83 | El Salvador | 16.489 % |
84 | Panama | 16.3 % |
85 | Belize | 15.731 % |
86 | Brazil | 14.897 % |
87 | Guyana | 14.611 % |
88 | Suriname | 14.545 % |
89 | Argentina | 14.5 % |
90 | Turkey | 14.126 % |
91 | Dominican Republic | 11.249 % |
92 | Morocco | 10.851 % |
93 | Eswatini | 10.808 % |
94 | Montenegro | 10.6 % |
95 | Colombia | 10.061 % |
96 | Fiji | 9.4 % |
97 | Kyrgyzstan | 9.147 % |
98 | Cuba | 8.969 % |
99 | Turkmenistan | 8.882 % |
100 | Armenia | 8.639 % |
101 | Ireland | 8.4 % |
102 | Tunisia | 8.393 % |
103 | Georgia | 8.23 % |
104 | Trinidad and Tobago | 7.688 % |
105 | Kiribati | 7.475 % |
106 | Chile | 7.315 % |
107 | Albania | 6.55 % |
108 | Republic of Moldova | 6.5 % |
109 | Uzbekistan | 6.326 % |
110 | South Korea | 6.3 % |
111 | Hungary | 6.285 % |
112 | Vietnam | 5.766 % |
113 | Nicaragua | 5.519 % |
114 | Costa Rica | 4.918 % |
115 | Lebanon | 4.5 % |
116 | Poland | 4.4 % |
117 | Cayman Islands | 4.372 % |
118 | Vanuatu | 4.125 % |
119 | Bosnia and Herzegovina | 4 % |
120 | Russia | 2.875 % |
121 | Antigua and Barbuda | 2.646 % |
122 | Romania | 1.975 % |
123 | Solomon Islands | 1.975 % |
124 | Kazakhstan | 1.49 % |
125 | Austria | 1.407 % |
126 | Uruguay | 1.3 % |
127 | Nauru | 1.173 % |
128 | Ukraine | 1.1 % |
129 | Tuvalu | 1.048 % |
130 | Egypt | 0.9 % |
131 | British Virgin Islands | 0.887 % |
132 | Canada | 0.75 % |
133 | Saint Lucia | 0.75 % |
134 | Latvia | 0.7 % |
135 | Tonga | 0.675 % |
136 | Lithuania | 0.45 % |
137 | Serbia | 0.425 % |
138 | Samoa | 0.375 % |
139 | Palau | 0.35 % |
140 | Cyprus | 0.3 % |
141 | Marshall Islands | 0.275 % |
142 | Croatia | 0.25 % |
143 | North Macedonia | 0.225 % |
144 | Oman | 0.225 % |
145 | Bulgaria | 0.2 % |
146 | United Arab Emirates | 0.175 % |
147 | United States | 0.175 % |
148 | Bermuda | 0.1 % |
149 | Estonia | 0.1 % |
150 | Sweden | 0.1 % |
151 | United Kingdom | 0.1 % |
152 | Portugal | 0.075 % |
153 | Czech Republic | 0.05 % |
154 | Slovakia | 0.05 % |
155 | Tajikistan | 0.05 % |
156 | Spain | 0.049 % |
157 | Malta | 0.038 % |
158 | Australia | 0.035 % |
159 | Italy | 0.02 % |
160 | Luxembourg | 0.017 % |
161 | Belarus | 0.004 % |
162 | Andorra | 0 % |
163 | Aruba | 0 % |
164 | Belgium | 0 % |
165 | Denmark | 0 % |
166 | Finland | 0 % |
167 | France | 0 % |
168 | Germany | 0 % |
169 | Iceland | 0 % |
170 | Kuwait | 0 % |
171 | Monaco | 0 % |
172 | Netherlands | 0 % |
173 | New Zealand | 0 % |
174 | Norway | 0 % |
175 | Qatar | 0 % |
176 | Singapore | 0 % |
177 | Switzerland | 0 % |
178 | Greece | -0.075 % |
- #1
South Sudan
- #2
Chad
- #3
Congo, Democratic Republic of the
- #4
Sudan
- #5
Afghanistan
- #6
Madagascar
- #7
Niger
- #8
Central African Republic
- #9
Comoros
- #10
Benin
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #178
Greece
- #177
Switzerland
- #176
Singapore
- #175
Qatar
- #174
Norway
- #173
New Zealand
- #172
Netherlands
- #171
Monaco
- #170
Kuwait
- #169
Iceland
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
In 2017, South Sudan had the highest Population living in slums at 94.20%, highlighting a severe urban poverty issue. The global range spanned from a minimum of -0.08% in Greece to the maximum in South Sudan. The average percentage of populations living in slums worldwide was 23.45%, reflecting significant urban housing challenges across many regions.
High Slum Populations and Economic Challenges
The prevalence of slum populations often correlates with economic challenges, inadequate urban planning, and rapid urbanization. In South Sudan, where 94.20% of the urban population resides in slums, ongoing conflict and economic instability have severely constrained housing development and infrastructure improvements. Similarly, Chad and the Democratic Republic of the Congo report slum populations of 82.28% and 77.44%, respectively. These countries face high poverty levels and limited government resources, which hinder effective urban planning and housing provision. The high percentage of slum dwellers in these regions underscores the urgent need for international aid and investment in urban development.
Zero Slum Populations: Effective Urban Policies
Several countries reported a 0% population living in slums, including Qatar, Kuwait, and Singapore. These nations benefit from strong economies, comprehensive urban planning, and significant investment in housing infrastructure. For instance, Singapore has implemented robust public housing policies that ensure affordable and quality housing for its citizens, reducing the potential for slum development. Similarly, the wealth generated from oil revenues in Qatar and Kuwait has enabled these countries to invest heavily in urban infrastructure, effectively eliminating slum conditions.
Year-over-Year Trends and Changes
The global average change in the population living in slums from the previous year was a decrease of 0.39% or -2.6%. Some countries, however, saw significant increases. Jordan experienced a 5.25% increase, partly due to the influx of refugees and the resulting pressure on urban housing. Meanwhile, Angola saw a 3.07% rise, reflecting urban migration and economic challenges. Conversely, Burkina Faso and Burundi experienced notable decreases of -2.78% and -2.68%, respectively. These reductions may be attributed to government initiatives aimed at improving urban living conditions and slum upgrading projects.
Policy Implications and Future Directions
The data on slum populations in 2017 highlights the critical need for targeted urban policies and international support. Developing countries with high percentages of slum populations, such as Sudan (73.68%) and Madagascar (71.02%), require comprehensive strategies to address housing shortages and improve living conditions. Successful examples from countries with zero slum populations demonstrate that effective governance, economic resources, and strategic urban planning can significantly reduce slum prevalence. Moving forward, international collaboration and investment in sustainable urban development will be essential to address the challenges faced by countries with high slum populations.
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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