Population living in slums 2016

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.

178 data pointsWorldUN Habitat

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Complete Data Rankings

Rank
1
South Sudan flag
South Sudan
94.2 %
2
Chad flag
Chad
82.566 %
3
Congo, Democratic Republic of the flag
Congo, Democratic Republic of the
76.981 %
4
Sudan flag
Sudan
73.663 %
5
Madagascar flag
Madagascar
72.223 %
6
Afghanistan flag
Afghanistan
72.129 %
7
Niger flag
Niger
70.444 %
8
Central African Republic flag
Central African Republic
68.913 %
9
Benin flag
Benin
68.72 %
10
Comoros flag
Comoros
68.6 %
11
Guinea-Bissau flag
Guinea-Bissau
68.029 %
12
Ethiopia flag
Ethiopia
67.41 %
13
Liberia flag
Liberia
65.67 %
14
Equatorial Guinea flag
Equatorial Guinea
63.471 %
15
Mozambique flag
Mozambique
61.986 %
16
Uganda flag
Uganda
59.39 %
17
Pakistan flag
Pakistan
59.023 %
18
Ecuador flag
Ecuador
57.8 %
19
Mauritania flag
Mauritania
57.68 %
20
Djibouti flag
Djibouti
56.843 %
21
Eritrea flag
Eritrea
56.843 %
22
Mauritius flag
Mauritius
56.843 %
23
Seychelles flag
Seychelles
56.843 %
24
Somalia flag
Somalia
56.843 %
25
Angola flag
Angola
56.45 %
26
Sierra Leone flag
Sierra Leone
56.122 %
27
Myanmar flag
Myanmar
55.072 %
28
Côte d'Ivoire flag
Côte d'Ivoire
54.752 %
29
Nigeria flag
Nigeria
54.007 %
30
Malawi flag
Malawi
53.299 %
31
Bangladesh flag
Bangladesh
53.158 %
32
Sao Tome and Principe flag
Sao Tome and Principe
52.644 %
33
Bhutan flag
Bhutan
51.44 %
34
Iran flag
Iran
51.44 %
35
Sri Lanka flag
Sri Lanka
51.44 %
36
Cabo Verde flag
Cabo Verde
51.403 %
37
Zambia flag
Zambia
51.363 %
38
Haiti flag
Haiti
50.838 %
39
Kenya flag
Kenya
50.813 %
40
Mali flag
Mali
50.318 %
41
Guinea flag
Guinea
47.339 %
42
Congo flag
Congo
47.3 %
43
Tanzania flag
Tanzania
47.267 %
44
Bolivia flag
Bolivia
46.626 %
45
Iraq flag
Iraq
46.25 %
46
Peru flag
Peru
45.862 %
47
Burundi flag
Burundi
44.868 %
48
Gabon flag
Gabon
44.333 %
49
Yemen flag
Yemen
44.2 %
50
Rwanda flag
Rwanda
43.571 %
51
Togo flag
Togo
43.326 %
52
Nepal flag
Nepal
43.174 %
53
Gambia flag
Gambia
42.499 %
54
Botswana flag
Botswana
41.711 %
55
Namibia flag
Namibia
41.365 %
56
Cambodia flag
Cambodia
39.7 %
57
Cameroon flag
Cameroon
39.21 %
58
Philippines flag
Philippines
38.725 %
59
Senegal flag
Senegal
38.715 %
60
Timor-Leste flag
Timor-Leste
37.9 %
61
Burkina Faso flag
Burkina Faso
37.683 %
62
Guatemala flag
Guatemala
37.603 %
63
Maldives flag
Maldives
36.518 %
64
Lesotho flag
Lesotho
33.814 %
65
Ghana flag
Ghana
33.487 %
66
Honduras flag
Honduras
31.5 %
67
Laos flag
Laos
27 %
68
Mongolia flag
Mongolia
25.824 %
69
Venezuela flag
Venezuela
25.7 %
70
South Africa flag
South Africa
24.563 %
71
Syrian Arab Republic flag
Syrian Arab Republic
23.919 %
72
Brunei Darussalam flag
Brunei Darussalam
23.539 %
73
Jordan flag
Jordan
23.4 %
74
Zimbabwe flag
Zimbabwe
22.759 %
75
Papua New Guinea flag
Papua New Guinea
22 %
76
Indonesia flag
Indonesia
21.892 %
77
Algeria flag
Algeria
21.076 %
78
State of Palestine flag
State of Palestine
19.538 %
79
Azerbaijan flag
Azerbaijan
18.522 %
80
Mexico flag
Mexico
18.443 %
81
Paraguay flag
Paraguay
18.05 %
82
Libya flag
Libya
17.239 %
83
El Salvador flag
El Salvador
16.477 %
84
Panama flag
Panama
16.3 %
85
Belize flag
Belize
15.733 %
86
Guyana flag
Guyana
15.435 %
87
Brazil flag
Brazil
14.897 %
88
Argentina flag
Argentina
14.5 %
89
Suriname flag
Suriname
14.126 %
90
Turkey flag
Turkey
14.126 %
91
Kyrgyzstan flag
Kyrgyzstan
11.383 %
92
Dominican Republic flag
Dominican Republic
11.249 %
93
Montenegro flag
Montenegro
11.2 %
94
Morocco flag
Morocco
10.851 %
95
Eswatini flag
Eswatini
10.808 %
96
Colombia flag
Colombia
10.421 %
97
Fiji flag
Fiji
9.4 %
98
Turkmenistan flag
Turkmenistan
9.007 %
99
Armenia flag
Armenia
8.884 %
100
Tunisia flag
Tunisia
8.643 %
101
Georgia flag
Georgia
8.613 %
102
Cuba flag
Cuba
8.445 %
103
Ireland flag
Ireland
8.3 %
104
Kiribati flag
Kiribati
8.1 %
105
Albania flag
Albania
7.8 %
106
Trinidad and Tobago flag
Trinidad and Tobago
7.5 %
107
Chile flag
Chile
7.314 %
108
Uzbekistan flag
Uzbekistan
7.293 %
109
Hungary flag
Hungary
7.2 %
110
Republic of Moldova flag
Republic of Moldova
6.5 %
111
South Korea flag
South Korea
5.8 %
112
Vietnam flag
Vietnam
5.766 %
113
Nicaragua flag
Nicaragua
5.519 %
114
Costa Rica flag
Costa Rica
5.376 %
115
Lebanon flag
Lebanon
4.5 %
116
Poland flag
Poland
4.5 %
117
Cayman Islands flag
Cayman Islands
4.15 %
118
Vanuatu flag
Vanuatu
4.1 %
119
Bosnia and Herzegovina flag
Bosnia and Herzegovina
4 %
120
Russia flag
Russia
2.9 %
121
Antigua and Barbuda flag
Antigua and Barbuda
2.646 %
122
Kazakhstan flag
Kazakhstan
2.186 %
123
Romania flag
Romania
2.1 %
124
Solomon Islands flag
Solomon Islands
2 %
125
Austria flag
Austria
1.679 %
126
British Virgin Islands flag
British Virgin Islands
1.639 %
127
Uruguay flag
Uruguay
1.3 %
128
Tuvalu flag
Tuvalu
1.101 %
129
Ukraine flag
Ukraine
1.1 %
130
Saint Lucia flag
Saint Lucia
1.05 %
131
Egypt flag
Egypt
0.9 %
132
Latvia flag
Latvia
0.8 %
133
Tonga flag
Tonga
0.75 %
134
Canada flag
Canada
0.7 %
135
Lithuania flag
Lithuania
0.65 %
136
Nauru flag
Nauru
0.55 %
137
Samoa flag
Samoa
0.5 %
138
Marshall Islands flag
Marshall Islands
0.45 %
139
Serbia flag
Serbia
0.45 %
140
Palau flag
Palau
0.4 %
141
Cyprus flag
Cyprus
0.3 %
142
North Macedonia flag
North Macedonia
0.3 %
143
Oman flag
Oman
0.3 %
144
Croatia flag
Croatia
0.25 %
145
United Arab Emirates flag
United Arab Emirates
0.25 %
146
Bulgaria flag
Bulgaria
0.2 %
147
United States flag
United States
0.2 %
148
Bermuda flag
Bermuda
0.1 %
149
Estonia flag
Estonia
0.1 %
150
Portugal flag
Portugal
0.1 %
151
Sweden flag
Sweden
0.1 %
152
United Kingdom flag
United Kingdom
0.1 %
153
Czech Republic flag
Czech Republic
0.05 %
154
Slovakia flag
Slovakia
0.05 %
155
Spain flag
Spain
0.05 %
156
Tajikistan flag
Tajikistan
0.05 %
157
Malta flag
Malta
0.038 %
158
Australia flag
Australia
0.035 %
159
Italy flag
Italy
0.02 %
160
Luxembourg flag
Luxembourg
0.016 %
161
Belarus flag
Belarus
0.004 %
162
Andorra flag
Andorra
0 %
163
Aruba flag
Aruba
0 %
164
Belgium flag
Belgium
0 %
165
Denmark flag
Denmark
0 %
166
Finland flag
Finland
0 %
167
France flag
France
0 %
168
Germany flag
Germany
0 %
169
Iceland flag
Iceland
0 %
170
Kuwait flag
Kuwait
0 %
171
Monaco flag
Monaco
0 %
172
Netherlands flag
Netherlands
0 %
173
New Zealand flag
New Zealand
0 %
174
Norway flag
Norway
0 %
175
Qatar flag
Qatar
0 %
176
Singapore flag
Singapore
0 %
177
Switzerland flag
Switzerland
0 %
178
Greece flag
Greece
-0.05 %

Top 10 Countries

  1. #1South Sudan flagSouth Sudan
  2. #2Chad flagChad
  3. #3Congo, Democratic Republic of the flagCongo, Democratic Republic of the
  4. #4Sudan flagSudan
  5. #5Madagascar flagMadagascar
  6. #6Afghanistan flagAfghanistan
  7. #7Niger flagNiger
  8. #8Central African Republic flagCentral African Republic
  9. #9Benin flagBenin
  10. #10Comoros flagComoros

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

Bottom 10 Countries

  1. #178Greece flagGreece
  2. #177Switzerland flagSwitzerland
  3. #176Singapore flagSingapore
  4. #175Qatar flagQatar
  5. #174Norway flagNorway
  6. #173New Zealand flagNew Zealand
  7. #172Netherlands flagNetherlands
  8. #171Monaco flagMonaco
  9. #170Kuwait flagKuwait
  10. #169Iceland flagIceland

Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.

Analysis & Context

The percentage of the population living in slums is a critical statistic that reveals the extent of urban poverty and inadequate housing conditions worldwide. In 2016, this metric continued to highlight significant disparities in living standards across different regions and underscored the pressing need for urban development and housing reform. Understanding these patterns is essential for policymakers and stakeholders aiming to improve the quality of life for millions of people residing in slums.

Global Overview of Slum Populations in 2016

In 2016, data was collected from 170 countries, illustrating a global average of 24% of the population living in slums. This statistic, however, masks significant regional and national variations. South Sudan topped the list with a staggering 94.2% of its population residing in slum conditions. Other countries with high percentages included Chad (82.57%), the Democratic Republic of the Congo (76.98%), and Sudan (73.66%). Conversely, several developed nations, including Andorra, Belgium, and Singapore, reported a 0% slum population, highlighting a stark contrast in urban living conditions.

Regional Disparities and Contributing Factors

The wide variation in slum population percentages across different countries is influenced by multiple factors, including economic conditions, governance, and urban planning policies. In regions such as Sub-Saharan Africa, where countries like South Sudan and Chad reported some of the highest percentages, instability, and insufficient infrastructure development play significant roles. In contrast, regions with effective urban policies and economic stability, such as Western Europe and parts of Asia, demonstrated minimal slum populations. These disparities underscore the multifaceted challenges that less developed countries face in addressing urban poverty.

Policy Impact and Urban Planning Initiatives

Efforts to mitigate slum conditions have been ongoing, with varying degrees of success. In 2016, international organizations and national governments continued to emphasize the importance of sustainable urban development. Initiatives focused on improving infrastructure, providing affordable housing, and enhancing living conditions. Countries such as Rwanda have made notable progress through strategic policies aimed at urban renewal and slum rehabilitation. These efforts not only improve physical living conditions but also aim to integrate slum dwellers into the broader urban economy, providing access to jobs and services.

Economic Implications of Slum Populations

The economic implications of high slum populations are profound. In many countries, slums represent a significant portion of urban dwellers, contributing to the informal economy. However, the lack of formal employment opportunities and inadequate access to social services often perpetuates the cycle of poverty. For nations like Madagascar and Afghanistan, where over 70% of the urban population live in slums, the challenge is not only to improve living standards but also to boost economic growth and development. Successful integration of slum populations into the formal economy could lead to increased productivity and better economic outcomes for these nations.

Looking ahead, addressing the challenges faced by slum populations requires a multifaceted approach. The United Nations' Sustainable Development Goals emphasize the need for inclusive, safe, and sustainable cities, with a specific target to upgrade slums by 2030. In 2016, efforts were already underway to achieve these goals, but progress varied significantly across regions. As urbanization continues to accelerate, particularly in developing countries, the demand for effective housing solutions will become more urgent. Future trends will likely focus on innovative housing technologies, expanded infrastructure investment, and stronger international cooperation to improve the living conditions of slum dwellers globally.

In conclusion, the data from 2016 highlights both the challenges and opportunities in addressing urban poverty and improving living standards for slum populations. While some countries have made significant strides, others continue to struggle with high percentages of their populations living in inadequate conditions. It is imperative for global efforts to be amplified and for policies to be tailored to the specific needs of each region to ensure sustainable urban development and the betterment of 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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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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