Population living in slums 2004

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.

167 data pointsWorldUN Habitat

Interactive Map

Complete Data Rankings

Rank
1
South Sudan flag
South Sudan
99.8 %
2
Sudan flag
Sudan
99.1 %
3
Lebanon flag
Lebanon
92.4 %
4
Chad flag
Chad
89.329 %
5
Madagascar flag
Madagascar
86.633 %
6
Ethiopia flag
Ethiopia
85.981 %
7
Congo flag
Congo
84.69 %
8
Mozambique flag
Mozambique
83.068 %
9
Central African Republic flag
Central African Republic
80.281 %
10
Mauritania flag
Mauritania
77.94 %
11
Burundi flag
Burundi
77.043 %
12
Uganda flag
Uganda
75.523 %
13
Liberia flag
Liberia
75.488 %
14
Mali flag
Mali
75.487 %
15
Malawi flag
Malawi
74.383 %
16
Cambodia flag
Cambodia
73.6 %
17
Tanzania flag
Tanzania
72.813 %
18
Sierra Leone flag
Sierra Leone
72.548 %
19
Djibouti flag
Djibouti
72.357 %
20
Eritrea flag
Eritrea
72.357 %
21
Mauritius flag
Mauritius
72.357 %
22
Seychelles flag
Seychelles
72.357 %
23
Somalia flag
Somalia
72.357 %
24
Congo, Democratic Republic of the flag
Congo, Democratic Republic of the
71.914 %
25
Burkina Faso flag
Burkina Faso
71.079 %
26
Benin flag
Benin
71.079 %
27
Niger flag
Niger
70.154 %
28
Nigeria flag
Nigeria
69.082 %
29
Nicaragua flag
Nicaragua
69.074 %
30
Pakistan flag
Pakistan
68.172 %
31
Cabo Verde flag
Cabo Verde
66.263 %
32
Comoros flag
Comoros
65.678 %
33
Rwanda flag
Rwanda
64.458 %
34
Côte d'Ivoire flag
Côte d'Ivoire
63.995 %
35
Togo flag
Togo
62.785 %
36
Sao Tome and Principe flag
Sao Tome and Principe
61.4 %
37
Zambia flag
Zambia
60.679 %
38
Nepal flag
Nepal
60.526 %
39
Kenya flag
Kenya
60.092 %
40
Senegal flag
Senegal
60.045 %
41
Equatorial Guinea flag
Equatorial Guinea
58.83 %
42
Cameroon flag
Cameroon
58.825 %
43
Haiti flag
Haiti
58.672 %
44
Lesotho flag
Lesotho
58.597 %
45
Yemen flag
Yemen
58.569 %
46
Ecuador flag
Ecuador
57.8 %
47
Bangladesh flag
Bangladesh
57.023 %
48
Timor-Leste flag
Timor-Leste
56.1 %
49
Bhutan flag
Bhutan
55.974 %
50
Iran flag
Iran
55.974 %
51
Sri Lanka flag
Sri Lanka
55.974 %
52
Eswatini flag
Eswatini
55.352 %
53
Botswana flag
Botswana
54.447 %
54
Gabon flag
Gabon
53.688 %
55
Ghana flag
Ghana
53.648 %
56
Bolivia flag
Bolivia
53.417 %
57
Gambia flag
Gambia
53.315 %
58
Guatemala flag
Guatemala
51.023 %
59
Mongolia flag
Mongolia
49.659 %
60
El Salvador flag
El Salvador
49.5 %
61
Laos flag
Laos
47.5 %
62
Philippines flag
Philippines
47.161 %
63
Peru flag
Peru
43.716 %
64
Honduras flag
Honduras
43.24 %
65
Guinea flag
Guinea
42.334 %
66
Namibia flag
Namibia
42.259 %
67
Libya flag
Libya
41.595 %
68
Maldives flag
Maldives
41.535 %
69
Panama flag
Panama
40.053 %
70
Azerbaijan flag
Azerbaijan
38.933 %
71
Kyrgyzstan flag
Kyrgyzstan
38.215 %
72
Iraq flag
Iraq
36.983 %
73
Paraguay flag
Paraguay
36.033 %
74
Myanmar flag
Myanmar
35.818 %
75
Vietnam flag
Vietnam
35.429 %
76
Brunei Darussalam flag
Brunei Darussalam
34.127 %
77
Indonesia flag
Indonesia
31.817 %
78
Syrian Arab Republic flag
Syrian Arab Republic
31.306 %
79
Egypt flag
Egypt
31.206 %
80
State of Palestine flag
State of Palestine
30 %
81
Mexico flag
Mexico
28.733 %
82
Brazil flag
Brazil
28.126 %
83
Morocco flag
Morocco
27.579 %
84
South Africa flag
South Africa
26.848 %
85
Zimbabwe flag
Zimbabwe
26.331 %
86
Venezuela flag
Venezuela
25.7 %
87
Dominican Republic flag
Dominican Republic
25.429 %
88
Guyana flag
Guyana
25.318 %
89
Uzbekistan flag
Uzbekistan
23.972 %
90
Uruguay flag
Uruguay
23.676 %
91
Albania flag
Albania
23 %
92
Turkey flag
Turkey
21.793 %
93
Republic of Moldova flag
Republic of Moldova
20.8 %
94
Papua New Guinea flag
Papua New Guinea
19.75 %
95
Angola flag
Angola
19.66 %
96
Kazakhstan flag
Kazakhstan
18.89 %
97
Argentina flag
Argentina
18.841 %
98
Montenegro flag
Montenegro
18.5 %
99
Colombia flag
Colombia
18.488 %
100
Belize flag
Belize
15.757 %
101
Kiribati flag
Kiribati
15.55 %
102
Fiji flag
Fiji
15 %
103
Georgia flag
Georgia
13.215 %
104
Hungary flag
Hungary
12.9 %
105
Armenia flag
Armenia
11.818 %
106
Trinidad and Tobago flag
Trinidad and Tobago
11.06 %
107
Costa Rica flag
Costa Rica
10.866 %
108
Turkmenistan flag
Turkmenistan
10.508 %
109
Solomon Islands flag
Solomon Islands
10.4 %
110
Suriname flag
Suriname
9.104 %
111
Chile flag
Chile
7.324 %
112
Ireland flag
Ireland
6.7 %
113
Bosnia and Herzegovina flag
Bosnia and Herzegovina
5.1 %
114
Ukraine flag
Ukraine
4.6 %
115
Samoa flag
Samoa
4.55 %
116
Vanuatu flag
Vanuatu
4.55 %
117
Saint Lucia flag
Saint Lucia
4.5 %
118
Austria flag
Austria
4.4 %
119
Tuvalu flag
Tuvalu
4.25 %
120
Cayman Islands flag
Cayman Islands
4.15 %
121
Romania flag
Romania
3.65 %
122
Oman flag
Oman
3.55 %
123
Russia flag
Russia
3.5 %
124
Lithuania flag
Lithuania
3.3 %
125
British Virgin Islands flag
British Virgin Islands
2.871 %
126
Nauru flag
Nauru
2.75 %
127
Latvia flag
Latvia
2.4 %
128
Marshall Islands flag
Marshall Islands
2.2 %
129
Cuba flag
Cuba
2.154 %
130
Tonga flag
Tonga
1.8 %
131
Palau flag
Palau
1.7 %
132
Poland flag
Poland
1.55 %
133
North Macedonia flag
North Macedonia
1.3 %
134
Portugal flag
Portugal
0.95 %
135
United Arab Emirates flag
United Arab Emirates
0.95 %
136
Serbia flag
Serbia
0.6 %
137
Croatia flag
Croatia
0.4 %
138
Canada flag
Canada
0.25 %
139
Greece flag
Greece
0.25 %
140
Sweden flag
Sweden
0.25 %
141
Cyprus flag
Cyprus
0.2 %
142
United States flag
United States
0.2 %
143
Australia flag
Australia
0.145 %
144
Bulgaria flag
Bulgaria
0.1 %
145
United Kingdom flag
United Kingdom
0.1 %
146
Czech Republic flag
Czech Republic
0.05 %
147
Estonia flag
Estonia
0.05 %
148
Slovakia flag
Slovakia
0.05 %
149
Malta flag
Malta
0.038 %
150
Bermuda flag
Bermuda
0.033 %
151
Italy flag
Italy
0.02 %
152
Luxembourg flag
Luxembourg
0.001 %
153
Andorra flag
Andorra
0 %
154
Aruba flag
Aruba
0 %
155
Belgium flag
Belgium
0 %
156
Denmark flag
Denmark
0 %
157
Finland flag
Finland
0 %
158
France flag
France
0 %
159
Germany flag
Germany
0 %
160
Iceland flag
Iceland
0 %
161
Kuwait flag
Kuwait
0 %
162
Monaco flag
Monaco
0 %
163
Netherlands flag
Netherlands
0 %
164
New Zealand flag
New Zealand
0 %
165
Norway flag
Norway
0 %
166
Singapore flag
Singapore
0 %
167
Switzerland flag
Switzerland
0 %

Top 10 Countries

  1. #1South Sudan flagSouth Sudan
  2. #2Sudan flagSudan
  3. #3Lebanon flagLebanon
  4. #4Chad flagChad
  5. #5Madagascar flagMadagascar
  6. #6Ethiopia flagEthiopia
  7. #7Congo flagCongo
  8. #8Mozambique flagMozambique
  9. #9Central African Republic flagCentral African Republic
  10. #10Mauritania flagMauritania

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

Bottom 10 Countries

  1. #167Switzerland flagSwitzerland
  2. #166Singapore flagSingapore
  3. #165Norway flagNorway
  4. #164New Zealand flagNew Zealand
  5. #163Netherlands flagNetherlands
  6. #162Monaco flagMonaco
  7. #161Kuwait flagKuwait
  8. #160Iceland flagIceland
  9. #159Germany flagGermany
  10. #158France flagFrance

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

Analysis & Context

The term Population living in slums refers to the percentage of a country's population residing in slums, which are typically characterized by inadequate access to safe water, sanitation, and other essential services. This metric is a crucial indicator of urban poverty and living conditions worldwide. In 2004, understanding the distribution and extent of slum populations provided valuable insights into housing challenges and the quality of life in urban areas.

Urban Challenges and Living Conditions

In 2004, the global landscape of urbanization highlighted significant challenges related to living conditions in slum areas. With an average of 32.90% of people living in slums across 167 countries, this statistic underscores the pressing issues of urban poverty. Countries like South Sudan and Sudan had exceptionally high percentages, with 99.8% and 99.1% of their populations living in slums, respectively. These figures reflect severe deficiencies in urban planning and infrastructure, necessitating urgent focus from international and local policymakers to improve living conditions.

Regional Discrepancies and Economic Links

Examining the data from 2004 reveals stark regional discrepancies in slum populations. African countries dominated the list of nations with high slum populations, with Chad (89.33%) and Madagascar (86.63%) among the top. This prevalence is often linked to economic factors, where lower-income nations struggle to provide adequate housing solutions due to limited resources and rapid urban growth. Conversely, countries like Iceland, Denmark, and Singapore reported 0% of their populations living in slums, reflecting robust economic structures and effective urban management strategies.

Historical Context and Trends

The historical context of slum development is rooted in rapid urbanization and industrial growth, often outpacing the capacity for adequate housing infrastructure. In 2004, this trend continued, with many developing nations experiencing an influx of rural-to-urban migration, which increased the demand for housing in urban areas. This migration often results in informal settlements as cities cannot expand their infrastructure quickly enough to accommodate the growing population. The median value of 26.85% indicates that nearly one in four people in many countries faced substandard living conditions, emphasizing the need for historical reflection to inform future urban development policies.

Policy Influences and Development Strategies

Global and local policies play a pivotal role in addressing the challenges posed by slum dwellings. In 2004, various initiatives aimed at slum upgrading were gaining traction. These included efforts to improve housing quality, provide access to basic services, and enhance livelihood opportunities. However, the impact of such policies varied significantly between regions. Countries with advanced governance models, like New Zealand and Norway, exhibited successful integration of policy measures that eradicated slum conditions. In contrast, less developed nations struggled with implementation due to financial and logistical constraints.

Future Prospects for Urban Living

Looking forward from 2004, addressing the issue of slum populations requires a multipronged approach that incorporates economic, social, and environmental strategies. Investment in sustainable urban planning, affordable housing projects, and inclusive economic policies are essential for reducing the percentage of populations living in slums. As global awareness and international cooperation grow, there is hope for significant improvements in urban living conditions. The data from 2004 serves as a benchmark for measuring progress and identifying areas in need of targeted intervention.

In summary, the Population living in slums metric in 2004 provides a lens through which urban poverty and living conditions can be assessed. By examining regional discrepancies, historical trends, and policy impacts, we gain a deeper understanding of the challenges and opportunities in improving the lives of those residing in slum areas. Continuous efforts and strategic interventions are vital to transforming urban landscapes into sustainable and habitable environments for all.

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.

Visit Data Source

Historical Data by Year

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

More People and Society Facts