Population living in slums 2014
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 | 83.693 % |
3 | Sudan | 78.748 % |
4 | Congo, Democratic Republic of the | 76.059 % |
5 | Madagascar | 74.625 % |
6 | Guinea-Bissau | 71.639 % |
7 | Ethiopia | 70.505 % |
8 | Niger | 70.444 % |
9 | Afghanistan | 69.688 % |
10 | Benin | 69.113 % |
11 | Central African Republic | 68.913 % |
12 | Comoros | 68.638 % |
13 | Liberia | 67.455 % |
14 | Mozambique | 65.5 % |
15 | Equatorial Guinea | 62.388 % |
16 | Uganda | 62.079 % |
17 | Mauritania | 61.057 % |
18 | Pakistan | 60.548 % |
19 | Djibouti | 59.53 % |
20 | Eritrea | 59.53 % |
21 | Mauritius | 59.53 % |
22 | Seychelles | 59.53 % |
23 | Somalia | 59.53 % |
24 | Sierra Leone | 58.859 % |
25 | Ecuador | 57.8 % |
26 | Malawi | 56.813 % |
27 | Nigeria | 56.52 % |
28 | Côte d'Ivoire | 56.292 % |
29 | Sao Tome and Principe | 54.582 % |
30 | Mali | 54.513 % |
31 | Cabo Verde | 53.937 % |
32 | Bangladesh | 53.802 % |
33 | Congo | 53.531 % |
34 | Zambia | 52.916 % |
35 | Kenya | 52.36 % |
36 | Bhutan | 52.193 % |
37 | Iran | 52.193 % |
38 | Sri Lanka | 52.193 % |
39 | Haiti | 52.144 % |
40 | Myanmar | 51.863 % |
41 | Tanzania | 51.525 % |
42 | Angola | 50.318 % |
43 | Burundi | 50.231 % |
44 | Peru | 47.053 % |
45 | Rwanda | 47.052 % |
46 | Bolivia | 46.626 % |
47 | Togo | 46.569 % |
48 | Guinea | 46.505 % |
49 | Nepal | 46.066 % |
50 | Yemen | 45.462 % |
51 | Cambodia | 45.4 % |
52 | Iraq | 44.706 % |
53 | Gabon | 44.333 % |
54 | Gambia | 44.301 % |
55 | Botswana | 43.834 % |
56 | Burkina Faso | 43.249 % |
57 | Cameroon | 42.479 % |
58 | Senegal | 42.27 % |
59 | Timor-Leste | 42 % |
60 | Namibia | 41.514 % |
61 | Philippines | 40.131 % |
62 | Guatemala | 39.84 % |
63 | Lesotho | 37.945 % |
64 | Maldives | 37.633 % |
65 | Ghana | 36.847 % |
66 | Honduras | 31.54 % |
67 | Laos | 30.4 % |
68 | Mongolia | 29.796 % |
69 | Venezuela | 25.7 % |
70 | Brunei Darussalam | 25.3 % |
71 | Algeria | 24.981 % |
72 | South Africa | 24.944 % |
73 | Syrian Arab Republic | 24.129 % |
74 | Indonesia | 23.546 % |
75 | Zimbabwe | 23.354 % |
76 | El Salvador | 22.48 % |
77 | Papua New Guinea | 21.65 % |
78 | Azerbaijan | 21.524 % |
79 | State of Palestine | 21.444 % |
80 | Paraguay | 21.047 % |
81 | Libya | 20.254 % |
82 | Mexico | 20.158 % |
83 | Panama | 18.495 % |
84 | Eswatini | 18.232 % |
85 | Guyana | 17.082 % |
86 | Kyrgyzstan | 15.855 % |
87 | Belize | 15.737 % |
88 | Argentina | 15.2 % |
89 | Brazil | 14.897 % |
90 | Turkey | 14.823 % |
91 | Morocco | 13.639 % |
92 | Dominican Republic | 13.612 % |
93 | Suriname | 13.289 % |
94 | Jordan | 12.9 % |
95 | Montenegro | 12.4 % |
96 | Colombia | 11.766 % |
97 | Vietnam | 10.71 % |
98 | Fiji | 10.4 % |
99 | Albania | 10.3 % |
100 | Uzbekistan | 10.051 % |
101 | Georgia | 9.38 % |
102 | Armenia | 9.373 % |
103 | Kiribati | 9.35 % |
104 | Turkmenistan | 9.257 % |
105 | Tunisia | 9.144 % |
106 | Ireland | 8 % |
107 | Trinidad and Tobago | 7.5 % |
108 | Cuba | 7.396 % |
109 | Chile | 7.31 % |
110 | Hungary | 7.2 % |
111 | Republic of Moldova | 6.5 % |
112 | Nicaragua | 6.387 % |
113 | Costa Rica | 6.291 % |
114 | Uruguay | 5.047 % |
115 | Kazakhstan | 4.97 % |
116 | South Korea | 4.7 % |
117 | Lebanon | 4.5 % |
118 | Cayman Islands | 4.15 % |
119 | Bosnia and Herzegovina | 4 % |
120 | Vanuatu | 4 % |
121 | Egypt | 3.655 % |
122 | Solomon Islands | 3.15 % |
123 | Russia | 3 % |
124 | Antigua and Barbuda | 2.646 % |
125 | Romania | 2.4 % |
126 | Austria | 2.223 % |
127 | British Virgin Islands | 1.639 % |
128 | Saint Lucia | 1.6 % |
129 | Tuvalu | 1.206 % |
130 | Samoa | 1.15 % |
131 | Lithuania | 1.1 % |
132 | Ukraine | 1.1 % |
133 | Latvia | 1.05 % |
134 | Tonga | 0.95 % |
135 | Marshall Islands | 0.75 % |
136 | Canada | 0.65 % |
137 | Palau | 0.65 % |
138 | Nauru | 0.55 % |
139 | North Macedonia | 0.5 % |
140 | Oman | 0.5 % |
141 | Serbia | 0.45 % |
142 | United Arab Emirates | 0.4 % |
143 | Croatia | 0.3 % |
144 | Cyprus | 0.25 % |
145 | Bulgaria | 0.2 % |
146 | United States | 0.2 % |
147 | Portugal | 0.15 % |
148 | Sweden | 0.15 % |
149 | Bermuda | 0.1 % |
150 | Estonia | 0.1 % |
151 | United Kingdom | 0.1 % |
152 | Czech Republic | 0.05 % |
153 | Poland | 0.05 % |
154 | Slovakia | 0.05 % |
155 | Spain | 0.05 % |
156 | Australia | 0.045 % |
157 | Malta | 0.038 % |
158 | Italy | 0.02 % |
159 | Luxembourg | 0.014 % |
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 % |
↑Top 10 Countries
- #1
South Sudan
- #2
Chad
- #3
Sudan
- #4
Congo, Democratic Republic of the
- #5
Madagascar
- #6
Guinea-Bissau
- #7
Ethiopia
- #8
Niger
- #9
Afghanistan
- #10
Benin
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
↓Bottom 10 Countries
- #177
Greece
- #176
Switzerland
- #175
Singapore
- #174
Qatar
- #173
Norway
- #172
New Zealand
- #171
Netherlands
- #170
Monaco
- #169
Kuwait
- #168
Iceland
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
The metric "Population living in slums" measures the percentage of people residing in urban areas characterized by inadequate housing and poor living conditions. This statistic is a critical indicator of urban poverty and provides insights into the challenges faced by the world's rapidly growing cities. In 2014, this data sheds light on the socio-economic disparities and the urgent need for policy interventions to improve living conditions for millions globally.
Global Overview of Slum Populations in 2014
In 2014, data from 170 countries revealed significant disparities in the percentage of populations living in slums. The average value was 25.38%, with the median at 15.20%, indicating that a considerable portion of urban populations lived in substandard conditions. The distribution ranged dramatically, with South Sudan at the highest with 94.2% of its urban population residing in slums, followed by Chad (83.69%) and Sudan (78.75%). These figures highlight a severe need for infrastructure development and social investment in these regions.
Regional Discrepancies in Slum Living Conditions
Regional differences were stark, particularly between developed and developing countries. Scandinavian nations such as Finland, Denmark, and Norway reported 0% of their populations living in slums, reflecting their robust social housing policies and economic stability. In contrast, African nations, characterized by rapid urbanization and economic challenges, had significantly higher percentages. For instance, the Democratic Republic of the Congo (76.06%) and Madagascar (74.62%) exemplify the urgent need for targeted interventions to alleviate urban poverty.
The high prevalence of slum living conditions is intricately linked to economic factors and social inequalities. Countries with higher percentages often struggle with limited economic growth, high unemployment rates, and inadequate public services. This situation exacerbates the cycle of poverty, hindering educational opportunities and access to healthcare. For instance, Ethiopia, with 70.50% of its urban population living in slums, faces challenges in providing basic services, which perpetuates poverty and limits economic mobility.
Policy and Governance Challenges
Addressing the issue of slum populations requires comprehensive policy changes and effective governance. Countries like Afghanistan (69.69%) and Benin (69.11%) face significant governance challenges, including political instability and limited resources, which impede efforts to improve housing conditions. International cooperation and strategic partnerships are essential to develop sustainable urban development policies and programs that can effectively reduce the percentage of populations living in slums.
Future Outlook and Global Goals
Looking forward, the global community must prioritize reducing the number of people living in slums as part of sustainable development goals. Investment in affordable housing, infrastructure development, and social policies are crucial to achieving these objectives. The data from 2014 underscores the importance of a multifaceted approach that includes economic empowerment, improved governance, and international collaboration to create a more equitable future for urban populations worldwide.
In conclusion, the 2014 data on "Population living in slums" provides a stark reminder of the socio-economic challenges that many countries face. It calls for immediate and strategic actions to improve living conditions and address the root causes of urban poverty, with the goal of enhancing quality of life for all urban dwellers.
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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