Population living in slums 2011
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 | 95.603 % |
2 | Sudan | 86.376 % |
3 | Chad | 85.384 % |
4 | Madagascar | 78.227 % |
5 | Guinea-Bissau | 75.224 % |
6 | Ethiopia | 75.148 % |
7 | Congo, Democratic Republic of the | 74.678 % |
8 | Mozambique | 70.77 % |
9 | Niger | 70.357 % |
10 | Central African Republic | 70.334 % |
11 | Liberia | 70.133 % |
12 | Benin | 69.703 % |
13 | Comoros | 67.75 % |
14 | Mauritania | 66.122 % |
15 | Uganda | 66.112 % |
16 | Afghanistan | 66.028 % |
17 | Djibouti | 63.495 % |
18 | Eritrea | 63.495 % |
19 | Mauritius | 63.495 % |
20 | Seychelles | 63.495 % |
21 | Somalia | 63.495 % |
22 | Sierra Leone | 62.966 % |
23 | Congo | 62.879 % |
24 | Pakistan | 62.835 % |
25 | Malawi | 62.084 % |
26 | Equatorial Guinea | 61.009 % |
27 | Mali | 60.805 % |
28 | Nigeria | 60.288 % |
29 | Côte d'Ivoire | 58.603 % |
30 | Burundi | 58.274 % |
31 | Tanzania | 57.911 % |
32 | Ecuador | 57.8 % |
33 | Cabo Verde | 57.708 % |
34 | Sao Tome and Principe | 57.49 % |
35 | Zambia | 55.245 % |
36 | Bangladesh | 54.768 % |
37 | Kenya | 54.679 % |
38 | Haiti | 54.102 % |
39 | Cambodia | 53.8 % |
40 | Bhutan | 53.321 % |
41 | Iran | 53.321 % |
42 | Sri Lanka | 53.321 % |
43 | Rwanda | 52.274 % |
44 | Burkina Faso | 51.598 % |
45 | Togo | 51.434 % |
46 | Nepal | 50.404 % |
47 | Yemen | 49.394 % |
48 | Timor-Leste | 48 % |
49 | Senegal | 47.602 % |
50 | Cameroon | 47.383 % |
51 | Gabon | 47.139 % |
52 | Myanmar | 47.049 % |
53 | Botswana | 47.018 % |
54 | Gambia | 47.005 % |
55 | Bolivia | 46.626 % |
56 | Guinea | 45.253 % |
57 | Lesotho | 44.14 % |
58 | Guatemala | 43.195 % |
59 | Iraq | 42.389 % |
60 | Philippines | 42.24 % |
61 | Peru | 42.126 % |
62 | Ghana | 41.887 % |
63 | Namibia | 41.737 % |
64 | Angola | 41.121 % |
65 | Maldives | 39.305 % |
66 | Nicaragua | 37.227 % |
67 | Mongolia | 35.755 % |
68 | Laos | 35.55 % |
69 | Honduras | 35.05 % |
70 | El Salvador | 31.484 % |
71 | Algeria | 29.843 % |
72 | Lebanon | 29.639 % |
73 | Eswatini | 29.368 % |
74 | Brunei Darussalam | 27.907 % |
75 | Azerbaijan | 26.927 % |
76 | Syrian Arab Republic | 26.216 % |
77 | Libya | 26.086 % |
78 | Indonesia | 26.028 % |
79 | Venezuela | 25.7 % |
80 | Paraguay | 25.543 % |
81 | South Africa | 25.515 % |
82 | Panama | 24.963 % |
83 | State of Palestine | 24.304 % |
84 | Zimbabwe | 24.247 % |
85 | Mexico | 22.73 % |
86 | Kyrgyzstan | 22.563 % |
87 | Papua New Guinea | 21.1 % |
88 | Guyana | 19.553 % |
89 | Vietnam | 18.126 % |
90 | Morocco | 17.821 % |
91 | Dominican Republic | 17.157 % |
92 | Turkey | 16.914 % |
93 | Brazil | 16.551 % |
94 | Argentina | 16.301 % |
95 | Belize | 15.743 % |
96 | Montenegro | 14.25 % |
97 | Uzbekistan | 14.233 % |
98 | Albania | 14.15 % |
99 | Colombia | 13.782 % |
100 | Suriname | 12.034 % |
101 | Fiji | 11.95 % |
102 | Egypt | 11.92 % |
103 | Kiribati | 11.2 % |
104 | Republic of Moldova | 10.85 % |
105 | Uruguay | 10.636 % |
106 | Georgia | 10.53 % |
107 | Armenia | 10.106 % |
108 | Tunisia | 9.894 % |
109 | Turkmenistan | 9.632 % |
110 | Kazakhstan | 9.146 % |
111 | Hungary | 8.5 % |
112 | Trinidad and Tobago | 8.33 % |
113 | South Korea | 8.15 % |
114 | Costa Rica | 7.663 % |
115 | Ireland | 7.6 % |
116 | Chile | 7.305 % |
117 | Cuba | 5.824 % |
118 | Solomon Islands | 5.325 % |
119 | Bosnia and Herzegovina | 4.4 % |
120 | Vanuatu | 4.2 % |
121 | Cayman Islands | 4.15 % |
122 | Russia | 3.175 % |
123 | Austria | 3.04 % |
124 | Romania | 2.8 % |
125 | Antigua and Barbuda | 2.646 % |
126 | Saint Lucia | 2.475 % |
127 | Samoa | 2.2 % |
128 | Ukraine | 2.15 % |
129 | British Virgin Islands | 1.813 % |
130 | Lithuania | 1.775 % |
131 | Latvia | 1.45 % |
132 | Oman | 1.325 % |
133 | Marshall Islands | 1.175 % |
134 | Tonga | 1.175 % |
135 | Nauru | 1.125 % |
136 | Palau | 0.95 % |
137 | Tuvalu | 0.9 % |
138 | North Macedonia | 0.725 % |
139 | United Arab Emirates | 0.575 % |
140 | Canada | 0.525 % |
141 | Serbia | 0.5 % |
142 | Poland | 0.4 % |
143 | Portugal | 0.325 % |
144 | Croatia | 0.325 % |
145 | Cyprus | 0.25 % |
146 | United States | 0.2 % |
147 | Bulgaria | 0.15 % |
148 | Sweden | 0.15 % |
149 | Bermuda | 0.1 % |
150 | Estonia | 0.1 % |
151 | United Kingdom | 0.1 % |
152 | Australia | 0.075 % |
153 | Greece | 0.075 % |
154 | Czech Republic | 0.05 % |
155 | Slovakia | 0.05 % |
156 | Malta | 0.038 % |
157 | Italy | 0.02 % |
158 | Luxembourg | 0.01 % |
159 | Belarus | 0.004 % |
160 | Andorra | 0 % |
161 | Aruba | 0 % |
162 | Belgium | 0 % |
163 | Denmark | 0 % |
164 | Finland | 0 % |
165 | France | 0 % |
166 | Germany | 0 % |
167 | Iceland | 0 % |
168 | Kuwait | 0 % |
169 | Monaco | 0 % |
170 | Netherlands | 0 % |
171 | New Zealand | 0 % |
172 | Norway | 0 % |
173 | Singapore | 0 % |
174 | Switzerland | 0 % |
- #1
South Sudan
- #2
Sudan
- #3
Chad
- #4
Madagascar
- #5
Guinea-Bissau
- #6
Ethiopia
- #7
Congo, Democratic Republic of the
- #8
Mozambique
- #9
Niger
- #10
Central African Republic
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #174
Switzerland
- #173
Singapore
- #172
Norway
- #171
New Zealand
- #170
Netherlands
- #169
Monaco
- #168
Kuwait
- #167
Iceland
- #166
Germany
- #165
France
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
In 2011, South Sudan had the highest percentage of its population living in slums at 95.60%, while the global range for this statistic spanned from 0% to 95.60%. The global average percentage of populations living in slums was 27.63%, providing a stark contrast to countries with minimal slum populations.
Economic and Political Drivers of Slum Populations
Countries with high percentages of slum populations often face significant economic and political challenges. For instance, South Sudan and Sudan, with slum populations of 95.60% and 86.38% respectively, have experienced prolonged conflict and political instability. These conditions hinder economic development, leading to inadequate housing and infrastructure. Similarly, Chad (85.38%) and Madagascar (78.23%) struggle with poverty and limited governmental capacity to provide urban amenities, exacerbating slum conditions.
In contrast, countries like Germany, Singapore, and Switzerland report 0% of their populations living in slums. These nations benefit from stable economies and robust urban planning policies, highlighting the role of governance and economic strength in mitigating slum prevalence.
Urbanization and Infrastructure Challenges
Rapid urbanization without corresponding infrastructure development often leads to an increase in slum populations. Mozambique (70.77%) and the Democratic Republic of the Congo (74.68%) exemplify this trend. Both countries have seen rapid urban growth but lack the resources to provide adequate housing, resulting in sprawling slum areas.
Conversely, countries like Finland and France maintain 0% slum populations due to effective urban management and infrastructure investment. These nations demonstrate how planned urban expansion can prevent slum proliferation.
Year-over-Year Changes and Policy Impacts
Analyzing year-over-year changes reveals significant shifts in slum populations, influenced by national policies and economic conditions. Nicaragua experienced the largest decrease, with a reduction of 29.97%, equating to a 44.6% decline. This dramatic improvement can be attributed to targeted housing policies and economic initiatives aimed at reducing urban poverty.
In contrast, Peru saw an increase of 3.96% in its slum population, a 10.4% rise, likely due to rapid urbanization outpacing available housing resources. Similarly, Angola and Myanmar reported increases of 3.07% and 1.60% respectively, highlighting the challenges of managing urban growth in developing economies.
Geographic Disparities in Slum Populations
Geographic factors also play a crucial role in the distribution of slum populations. Many countries with high slum percentages are located in Sub-Saharan Africa, such as Guinea-Bissau (75.22%) and Ethiopia (75.15%). The region faces unique challenges, including climate vulnerability and limited access to resources, which exacerbate urban poverty.
Conversely, countries like Monaco and Aruba have 0% of their populations living in slums, benefiting from geographical advantages such as small land areas and high economic development, enabling them to maintain high living standards and mitigate slum conditions.
In conclusion, the 2011 data on the population living in slums highlights significant global disparities driven by economic, political, and geographic factors. Understanding these patterns is essential for developing targeted interventions to reduce urban poverty and improve living conditions worldwide.
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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