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.

177 data pointsWorldUN Habitat

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Complete Data Rankings

Rank
1
South Sudan flag
South Sudan
94.2 %
2
Chad flag
Chad
83.693 %
3
Sudan flag
Sudan
78.748 %
4
Congo, Democratic Republic of the flag
Congo, Democratic Republic of the
76.059 %
5
Madagascar flag
Madagascar
74.625 %
6
Guinea-Bissau flag
Guinea-Bissau
71.639 %
7
Ethiopia flag
Ethiopia
70.505 %
8
Niger flag
Niger
70.444 %
9
Afghanistan flag
Afghanistan
69.688 %
10
Benin flag
Benin
69.113 %
11
Central African Republic flag
Central African Republic
68.913 %
12
Comoros flag
Comoros
68.638 %
13
Liberia flag
Liberia
67.455 %
14
Mozambique flag
Mozambique
65.5 %
15
Equatorial Guinea flag
Equatorial Guinea
62.388 %
16
Uganda flag
Uganda
62.079 %
17
Mauritania flag
Mauritania
61.057 %
18
Pakistan flag
Pakistan
60.548 %
19
Djibouti flag
Djibouti
59.53 %
20
Eritrea flag
Eritrea
59.53 %
21
Mauritius flag
Mauritius
59.53 %
22
Seychelles flag
Seychelles
59.53 %
23
Somalia flag
Somalia
59.53 %
24
Sierra Leone flag
Sierra Leone
58.859 %
25
Ecuador flag
Ecuador
57.8 %
26
Malawi flag
Malawi
56.813 %
27
Nigeria flag
Nigeria
56.52 %
28
Côte d'Ivoire flag
Côte d'Ivoire
56.292 %
29
Sao Tome and Principe flag
Sao Tome and Principe
54.582 %
30
Mali flag
Mali
54.513 %
31
Cabo Verde flag
Cabo Verde
53.937 %
32
Bangladesh flag
Bangladesh
53.802 %
33
Congo flag
Congo
53.531 %
34
Zambia flag
Zambia
52.916 %
35
Kenya flag
Kenya
52.36 %
36
Bhutan flag
Bhutan
52.193 %
37
Iran flag
Iran
52.193 %
38
Sri Lanka flag
Sri Lanka
52.193 %
39
Haiti flag
Haiti
52.144 %
40
Myanmar flag
Myanmar
51.863 %
41
Tanzania flag
Tanzania
51.525 %
42
Angola flag
Angola
50.318 %
43
Burundi flag
Burundi
50.231 %
44
Peru flag
Peru
47.053 %
45
Rwanda flag
Rwanda
47.052 %
46
Bolivia flag
Bolivia
46.626 %
47
Togo flag
Togo
46.569 %
48
Guinea flag
Guinea
46.505 %
49
Nepal flag
Nepal
46.066 %
50
Yemen flag
Yemen
45.462 %
51
Cambodia flag
Cambodia
45.4 %
52
Iraq flag
Iraq
44.706 %
53
Gabon flag
Gabon
44.333 %
54
Gambia flag
Gambia
44.301 %
55
Botswana flag
Botswana
43.834 %
56
Burkina Faso flag
Burkina Faso
43.249 %
57
Cameroon flag
Cameroon
42.479 %
58
Senegal flag
Senegal
42.27 %
59
Timor-Leste flag
Timor-Leste
42 %
60
Namibia flag
Namibia
41.514 %
61
Philippines flag
Philippines
40.131 %
62
Guatemala flag
Guatemala
39.84 %
63
Lesotho flag
Lesotho
37.945 %
64
Maldives flag
Maldives
37.633 %
65
Ghana flag
Ghana
36.847 %
66
Honduras flag
Honduras
31.54 %
67
Laos flag
Laos
30.4 %
68
Mongolia flag
Mongolia
29.796 %
69
Venezuela flag
Venezuela
25.7 %
70
Brunei Darussalam flag
Brunei Darussalam
25.3 %
71
Algeria flag
Algeria
24.981 %
72
South Africa flag
South Africa
24.944 %
73
Syrian Arab Republic flag
Syrian Arab Republic
24.129 %
74
Indonesia flag
Indonesia
23.546 %
75
Zimbabwe flag
Zimbabwe
23.354 %
76
El Salvador flag
El Salvador
22.48 %
77
Papua New Guinea flag
Papua New Guinea
21.65 %
78
Azerbaijan flag
Azerbaijan
21.524 %
79
State of Palestine flag
State of Palestine
21.444 %
80
Paraguay flag
Paraguay
21.047 %
81
Libya flag
Libya
20.254 %
82
Mexico flag
Mexico
20.158 %
83
Panama flag
Panama
18.495 %
84
Eswatini flag
Eswatini
18.232 %
85
Guyana flag
Guyana
17.082 %
86
Kyrgyzstan flag
Kyrgyzstan
15.855 %
87
Belize flag
Belize
15.737 %
88
Argentina flag
Argentina
15.2 %
89
Brazil flag
Brazil
14.897 %
90
Turkey flag
Turkey
14.823 %
91
Morocco flag
Morocco
13.639 %
92
Dominican Republic flag
Dominican Republic
13.612 %
93
Suriname flag
Suriname
13.289 %
94
Jordan flag
Jordan
12.9 %
95
Montenegro flag
Montenegro
12.4 %
96
Colombia flag
Colombia
11.766 %
97
Vietnam flag
Vietnam
10.71 %
98
Fiji flag
Fiji
10.4 %
99
Albania flag
Albania
10.3 %
100
Uzbekistan flag
Uzbekistan
10.051 %
101
Georgia flag
Georgia
9.38 %
102
Armenia flag
Armenia
9.373 %
103
Kiribati flag
Kiribati
9.35 %
104
Turkmenistan flag
Turkmenistan
9.257 %
105
Tunisia flag
Tunisia
9.144 %
106
Ireland flag
Ireland
8 %
107
Trinidad and Tobago flag
Trinidad and Tobago
7.5 %
108
Cuba flag
Cuba
7.396 %
109
Chile flag
Chile
7.31 %
110
Hungary flag
Hungary
7.2 %
111
Republic of Moldova flag
Republic of Moldova
6.5 %
112
Nicaragua flag
Nicaragua
6.387 %
113
Costa Rica flag
Costa Rica
6.291 %
114
Uruguay flag
Uruguay
5.047 %
115
Kazakhstan flag
Kazakhstan
4.97 %
116
South Korea flag
South Korea
4.7 %
117
Lebanon flag
Lebanon
4.5 %
118
Cayman Islands flag
Cayman Islands
4.15 %
119
Bosnia and Herzegovina flag
Bosnia and Herzegovina
4 %
120
Vanuatu flag
Vanuatu
4 %
121
Egypt flag
Egypt
3.655 %
122
Solomon Islands flag
Solomon Islands
3.15 %
123
Russia flag
Russia
3 %
124
Antigua and Barbuda flag
Antigua and Barbuda
2.646 %
125
Romania flag
Romania
2.4 %
126
Austria flag
Austria
2.223 %
127
British Virgin Islands flag
British Virgin Islands
1.639 %
128
Saint Lucia flag
Saint Lucia
1.6 %
129
Tuvalu flag
Tuvalu
1.206 %
130
Samoa flag
Samoa
1.15 %
131
Lithuania flag
Lithuania
1.1 %
132
Ukraine flag
Ukraine
1.1 %
133
Latvia flag
Latvia
1.05 %
134
Tonga flag
Tonga
0.95 %
135
Marshall Islands flag
Marshall Islands
0.75 %
136
Canada flag
Canada
0.65 %
137
Palau flag
Palau
0.65 %
138
Nauru flag
Nauru
0.55 %
139
North Macedonia flag
North Macedonia
0.5 %
140
Oman flag
Oman
0.5 %
141
Serbia flag
Serbia
0.45 %
142
United Arab Emirates flag
United Arab Emirates
0.4 %
143
Croatia flag
Croatia
0.3 %
144
Cyprus flag
Cyprus
0.25 %
145
Bulgaria flag
Bulgaria
0.2 %
146
United States flag
United States
0.2 %
147
Portugal flag
Portugal
0.15 %
148
Sweden flag
Sweden
0.15 %
149
Bermuda flag
Bermuda
0.1 %
150
Estonia flag
Estonia
0.1 %
151
United Kingdom flag
United Kingdom
0.1 %
152
Czech Republic flag
Czech Republic
0.05 %
153
Poland flag
Poland
0.05 %
154
Slovakia flag
Slovakia
0.05 %
155
Spain flag
Spain
0.05 %
156
Australia flag
Australia
0.045 %
157
Malta flag
Malta
0.038 %
158
Italy flag
Italy
0.02 %
159
Luxembourg flag
Luxembourg
0.014 %
160
Belarus flag
Belarus
0.004 %
161
Andorra flag
Andorra
0 %
162
Aruba flag
Aruba
0 %
163
Belgium flag
Belgium
0 %
164
Denmark flag
Denmark
0 %
165
Finland flag
Finland
0 %
166
France flag
France
0 %
167
Germany flag
Germany
0 %
168
Iceland flag
Iceland
0 %
169
Kuwait flag
Kuwait
0 %
170
Monaco flag
Monaco
0 %
171
Netherlands flag
Netherlands
0 %
172
New Zealand flag
New Zealand
0 %
173
Norway flag
Norway
0 %
174
Qatar flag
Qatar
0 %
175
Singapore flag
Singapore
0 %
176
Switzerland flag
Switzerland
0 %
177
Greece flag
Greece
0 %

Top 10 Countries

  1. #1South Sudan flagSouth Sudan
  2. #2Chad flagChad
  3. #3Sudan flagSudan
  4. #4Congo, Democratic Republic of the flagCongo, Democratic Republic of the
  5. #5Madagascar flagMadagascar
  6. #6Guinea-Bissau flagGuinea-Bissau
  7. #7Ethiopia flagEthiopia
  8. #8Niger flagNiger
  9. #9Afghanistan flagAfghanistan
  10. #10Benin flagBenin

Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.

Bottom 10 Countries

  1. #177Greece flagGreece
  2. #176Switzerland flagSwitzerland
  3. #175Singapore flagSingapore
  4. #174Qatar flagQatar
  5. #173Norway flagNorway
  6. #172New Zealand flagNew Zealand
  7. #171Netherlands flagNetherlands
  8. #170Monaco flagMonaco
  9. #169Kuwait flagKuwait
  10. #168Iceland flagIceland

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.

Economic and Social Implications

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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Historical Data by Year

Explore Population living in slums data across different years. Compare trends and see how statistics have changed over time.

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