Population living in slums 2009

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.

173 data pointsWorldUN Habitat

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Complete Data Rankings

Rank
1
South Sudan flag
South Sudan
98.405 %
2
Sudan flag
Sudan
91.461 %
3
Chad flag
Chad
86.511 %
4
Madagascar flag
Madagascar
80.629 %
5
Ethiopia flag
Ethiopia
78.243 %
6
Guinea-Bissau flag
Guinea-Bissau
75.2 %
7
Mozambique flag
Mozambique
74.284 %
8
Congo, Democratic Republic of the flag
Congo, Democratic Republic of the
73.757 %
9
Central African Republic flag
Central African Republic
73.176 %
10
Liberia flag
Liberia
71.918 %
11
Niger flag
Niger
70.299 %
12
Benin flag
Benin
70.096 %
13
Mauritania flag
Mauritania
69.499 %
14
Congo flag
Congo
69.111 %
15
Uganda flag
Uganda
68.801 %
16
Nicaragua flag
Nicaragua
67.2 %
17
Comoros flag
Comoros
67.158 %
18
Djibouti flag
Djibouti
66.113 %
19
Eritrea flag
Eritrea
66.113 %
20
Mauritius flag
Mauritius
66.113 %
21
Seychelles flag
Seychelles
66.113 %
22
Somalia flag
Somalia
66.113 %
23
Sierra Leone flag
Sierra Leone
65.703 %
24
Malawi flag
Malawi
65.598 %
25
Mali flag
Mali
65 %
26
Pakistan flag
Pakistan
64.36 %
27
Afghanistan flag
Afghanistan
64.204 %
28
Burundi flag
Burundi
63.637 %
29
Nigeria flag
Nigeria
62.801 %
30
Tanzania flag
Tanzania
62.169 %
31
Equatorial Guinea flag
Equatorial Guinea
60.228 %
32
Cabo Verde flag
Cabo Verde
60.192 %
33
Côte d'Ivoire flag
Côte d'Ivoire
60.144 %
34
Cambodia flag
Cambodia
59.45 %
35
Sao Tome and Principe flag
Sao Tome and Principe
59.428 %
36
Ecuador flag
Ecuador
57.8 %
37
Burkina Faso flag
Burkina Faso
57.164 %
38
Zambia flag
Zambia
56.798 %
39
Kenya flag
Kenya
56.226 %
40
Rwanda flag
Rwanda
55.755 %
41
Bangladesh flag
Bangladesh
55.412 %
42
Haiti flag
Haiti
55.408 %
43
Lebanon flag
Lebanon
54.748 %
44
Togo flag
Togo
54.677 %
45
Bhutan flag
Bhutan
54.087 %
46
Iran flag
Iran
54.087 %
47
Sri Lanka flag
Sri Lanka
54.087 %
48
Nepal flag
Nepal
53.296 %
49
Yemen flag
Yemen
52.015 %
50
Timor-Leste flag
Timor-Leste
52 %
51
Senegal flag
Senegal
51.157 %
52
Cameroon flag
Cameroon
50.652 %
53
Botswana flag
Botswana
49.141 %
54
Gabon flag
Gabon
49.01 %
55
Gambia flag
Gambia
48.808 %
56
Lesotho flag
Lesotho
48.271 %
57
Bolivia flag
Bolivia
47.758 %
58
Guatemala flag
Guatemala
45.431 %
59
Ghana flag
Ghana
45.248 %
60
Guinea flag
Guinea
44.419 %
61
Myanmar flag
Myanmar
43.84 %
62
Philippines flag
Philippines
43.646 %
63
Namibia flag
Namibia
41.886 %
64
Iraq flag
Iraq
40.844 %
65
Maldives flag
Maldives
40.42 %
66
Mongolia flag
Mongolia
39.728 %
67
Peru flag
Peru
39.094 %
68
Laos flag
Laos
39 %
69
El Salvador flag
El Salvador
37.487 %
70
Honduras flag
Honduras
37.39 %
71
Eswatini flag
Eswatini
36.792 %
72
Angola flag
Angola
34.989 %
73
Algeria flag
Algeria
30.8 %
74
Brunei Darussalam flag
Brunei Darussalam
29.67 %
75
Libya flag
Libya
29.428 %
76
Panama flag
Panama
29.274 %
77
Paraguay flag
Paraguay
28.54 %
78
Syrian Arab Republic flag
Syrian Arab Republic
27.766 %
79
Indonesia flag
Indonesia
27.682 %
80
Kyrgyzstan flag
Kyrgyzstan
27.035 %
81
Azerbaijan flag
Azerbaijan
26.927 %
82
State of Palestine flag
State of Palestine
26.211 %
83
South Africa flag
South Africa
25.896 %
84
Venezuela flag
Venezuela
25.7 %
85
Zimbabwe flag
Zimbabwe
24.843 %
86
Mexico flag
Mexico
24.445 %
87
Vietnam flag
Vietnam
23.069 %
88
Guyana flag
Guyana
21.2 %
89
Papua New Guinea flag
Papua New Guinea
20.7 %
90
Morocco flag
Morocco
20.609 %
91
Brazil flag
Brazil
19.858 %
92
Dominican Republic flag
Dominican Republic
19.521 %
93
Turkey flag
Turkey
18.308 %
94
Egypt flag
Egypt
17.43 %
95
Argentina flag
Argentina
17.027 %
96
Uzbekistan flag
Uzbekistan
17.022 %
97
Albania flag
Albania
16.65 %
98
Belize flag
Belize
15.747 %
99
Montenegro flag
Montenegro
15.5 %
100
Colombia flag
Colombia
15.127 %
101
Uruguay flag
Uruguay
14.361 %
102
Republic of Moldova flag
Republic of Moldova
13.7 %
103
Fiji flag
Fiji
13 %
104
Kiribati flag
Kiribati
12.45 %
105
Kazakhstan flag
Kazakhstan
11.93 %
106
Georgia flag
Georgia
11.297 %
107
Suriname flag
Suriname
11.197 %
108
Armenia flag
Armenia
10.595 %
109
Tunisia flag
Tunisia
10.272 %
110
South Korea flag
South Korea
10.175 %
111
Turkmenistan flag
Turkmenistan
9.882 %
112
Hungary flag
Hungary
9.75 %
113
Trinidad and Tobago flag
Trinidad and Tobago
9.11 %
114
Costa Rica flag
Costa Rica
8.578 %
115
Ireland flag
Ireland
7.35 %
116
Chile flag
Chile
7.302 %
117
Solomon Islands flag
Solomon Islands
6.775 %
118
Cuba flag
Cuba
4.775 %
119
Bosnia and Herzegovina flag
Bosnia and Herzegovina
4.6 %
120
Vanuatu flag
Vanuatu
4.3 %
121
Cayman Islands flag
Cayman Islands
4.15 %
122
Austria flag
Austria
3.584 %
123
Russia flag
Russia
3.25 %
124
Romania flag
Romania
3.1 %
125
Saint Lucia flag
Saint Lucia
3.05 %
126
Samoa flag
Samoa
2.875 %
127
Ukraine flag
Ukraine
2.85 %
128
Lithuania flag
Lithuania
2.2 %
129
British Virgin Islands flag
British Virgin Islands
2.135 %
130
Tuvalu flag
Tuvalu
2 %
131
Oman flag
Oman
1.975 %
132
Latvia flag
Latvia
1.725 %
133
Nauru flag
Nauru
1.6 %
134
Marshall Islands flag
Marshall Islands
1.5 %
135
Tonga flag
Tonga
1.35 %
136
Palau flag
Palau
1.175 %
137
North Macedonia flag
North Macedonia
0.9 %
138
United Arab Emirates flag
United Arab Emirates
0.725 %
139
Poland flag
Poland
0.7 %
140
Serbia flag
Serbia
0.525 %
141
Portugal flag
Portugal
0.475 %
142
Canada flag
Canada
0.475 %
143
Croatia flag
Croatia
0.35 %
144
Cyprus flag
Cyprus
0.25 %
145
United States flag
United States
0.2 %
146
Sweden flag
Sweden
0.175 %
147
Bulgaria flag
Bulgaria
0.15 %
148
Greece flag
Greece
0.125 %
149
Bermuda flag
Bermuda
0.1 %
150
Estonia flag
Estonia
0.1 %
151
United Kingdom flag
United Kingdom
0.1 %
152
Australia flag
Australia
0.095 %
153
Czech Republic flag
Czech Republic
0.05 %
154
Slovakia flag
Slovakia
0.05 %
155
Malta flag
Malta
0.038 %
156
Italy flag
Italy
0.02 %
157
Luxembourg flag
Luxembourg
0.007 %
158
Belarus flag
Belarus
0.004 %
159
Andorra flag
Andorra
0 %
160
Aruba flag
Aruba
0 %
161
Belgium flag
Belgium
0 %
162
Denmark flag
Denmark
0 %
163
Finland flag
Finland
0 %
164
France flag
France
0 %
165
Germany flag
Germany
0 %
166
Iceland flag
Iceland
0 %
167
Kuwait flag
Kuwait
0 %
168
Monaco flag
Monaco
0 %
169
Netherlands flag
Netherlands
0 %
170
New Zealand flag
New Zealand
0 %
171
Norway flag
Norway
0 %
172
Singapore flag
Singapore
0 %
173
Switzerland flag
Switzerland
0 %

Top 10 Countries

  1. #1South Sudan flagSouth Sudan
  2. #2Sudan flagSudan
  3. #3Chad flagChad
  4. #4Madagascar flagMadagascar
  5. #5Ethiopia flagEthiopia
  6. #6Guinea-Bissau flagGuinea-Bissau
  7. #7Mozambique flagMozambique
  8. #8Congo, Democratic Republic of the flagCongo, Democratic Republic of the
  9. #9Central African Republic flagCentral African Republic
  10. #10Liberia flagLiberia

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

Bottom 10 Countries

  1. #173Switzerland flagSwitzerland
  2. #172Singapore flagSingapore
  3. #171Norway flagNorway
  4. #170New Zealand flagNew Zealand
  5. #169Netherlands flagNetherlands
  6. #168Monaco flagMonaco
  7. #167Kuwait flagKuwait
  8. #166Iceland flagIceland
  9. #165Germany flagGermany
  10. #164France flagFrance

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

Analysis & Context

The statistic "Population living in slums" offers a crucial lens through which to understand urban poverty and living conditions worldwide. In 2009, this metric highlighted the ongoing challenges faced by urban areas in providing adequate housing and the necessity for sustainable urban development. While global discussions often emphasize countries with high slum populations, the available data for 2009 is intriguing, particularly because it showcases Belarus as having a remarkably low percentage of its population living in slums.

Global Significance of Slum Population Metrics

Understanding slum populations is of particular importance when considering global efforts to improve urban living conditions. Slums are typically characterized by inadequate housing and poor living conditions, including limited access to essential services. Monitoring the percentage of populations living in such conditions provides insight into socioeconomic disparities and informs policy aimed at bridging these gaps. In 2009, global efforts were ongoing to address these issues, reflecting the commitments made during the Millennium Development Goals to improve the lives of slum dwellers by 2020.

Surprising Statistics from 2009: The Belarus Example

The 2009 data reveals an interesting anomaly with Belarus reporting a slum population percentage of only 0.004. This figure stands out, especially when compared to many other countries facing significant urban housing challenges. Belarus's low slum population percentage suggests effective urban planning and housing policies that have successfully mitigated the growth of informal settlements. Such statistics indicate not only the importance of governance in urban development but also highlight Belarus as a potential model for other nations striving to minimize slum populations.

Policy and Governance Influence on Slum Populations

The remarkably low slum population in Belarus in 2009 underscores the influence of effective governance and policy frameworks. The country's success in virtually eliminating slum conditions can be attributed to a combination of factors, including strong governmental control over urban planning and robust social policies that ensure housing availability and affordability. These strategies contrast sharply with nations where rapid urbanization has outpaced the development of infrastructure and housing, leading to expansive slum areas.

Historical Context and the Impact of Urbanization

Historically, the rapid urbanization experienced by many countries has been a double-edged sword. While providing economic opportunities, it has also led to the proliferation of slums due to inadequate housing and infrastructure development. The historical urban planning approach of Belarus, however, appears to have mitigated these risks, emphasizing the importance of strategic urban development from an early stage. This serves as a lesson in how urbanization policies can be structured to prevent slum formation, balancing growth with sustainable development.

As the world continues to urbanize, the lessons from Belarus in 2009 provide valuable insights. Future urban development must prioritize sustainable housing solutions that align with population growth. Globally, the trends indicate a need for comprehensive policies that not only address existing slum conditions but also prevent the emergence of new ones. International collaboration and knowledge sharing, inspired by successful models like Belarus’s, can significantly aid countries struggling with high slum populations, aiming for a future where urban areas are equitable and sustainable.

In conclusion, the 2009 data on "Population living in slums" offers a unique perspective, especially considering Belarus’s standout performance in this area. This underscores the critical role of governance and policy in shaping urban living conditions and highlights the potential for countries to learn from successful case studies to tackle urban poverty and improve housing conditions globally.

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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