Population living in slums 2002

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.

164 data pointsWorldUN Habitat

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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
90.457 %
5
Ethiopia flag
Ethiopia
89.076 %
6
Madagascar flag
Madagascar
89.034 %
7
Congo flag
Congo
87.806 %
8
Mozambique flag
Mozambique
86.582 %
9
Central African Republic flag
Central African Republic
83.123 %
10
Mauritania flag
Mauritania
81.317 %
11
Burundi flag
Burundi
79.7 %
12
Mali flag
Mali
79.682 %
13
Cambodia flag
Cambodia
79.2 %
14
Uganda flag
Uganda
78.212 %
15
Malawi flag
Malawi
77.897 %
16
Tanzania flag
Tanzania
77.07 %
17
Burkina Faso flag
Burkina Faso
76.645 %
18
Liberia flag
Liberia
75.488 %
19
Djibouti flag
Djibouti
74.762 %
20
Eritrea flag
Eritrea
74.762 %
21
Mauritius flag
Mauritius
74.762 %
22
Seychelles flag
Seychelles
74.762 %
23
Somalia flag
Somalia
74.762 %
24
Sierra Leone flag
Sierra Leone
73.9 %
25
Congo, Democratic Republic of the flag
Congo, Democratic Republic of the
71.914 %
26
Nigeria flag
Nigeria
71.595 %
27
Benin flag
Benin
71.472 %
28
Nicaragua flag
Nicaragua
70.336 %
29
Niger flag
Niger
70.096 %
30
Pakistan flag
Pakistan
69.697 %
31
Cabo Verde flag
Cabo Verde
68.628 %
32
Rwanda flag
Rwanda
67.939 %
33
Togo flag
Togo
66.029 %
34
Côte d'Ivoire flag
Côte d'Ivoire
65.536 %
35
Comoros flag
Comoros
65.086 %
36
Senegal flag
Senegal
63.6 %
37
Nepal flag
Nepal
63.418 %
38
Lesotho flag
Lesotho
62.727 %
39
Zambia flag
Zambia
62.232 %
40
Cameroon flag
Cameroon
62.095 %
41
Kenya flag
Kenya
61.638 %
42
Yemen flag
Yemen
61.191 %
43
Equatorial Guinea flag
Equatorial Guinea
60.093 %
44
Haiti flag
Haiti
59.978 %
45
Ecuador flag
Ecuador
57.847 %
46
Bangladesh flag
Bangladesh
57.667 %
47
Ghana flag
Ghana
57.008 %
48
Bhutan flag
Bhutan
56.792 %
49
Iran flag
Iran
56.792 %
50
Sri Lanka flag
Sri Lanka
56.792 %
51
Botswana flag
Botswana
56.57 %
52
Bolivia flag
Bolivia
55.681 %
53
Gabon flag
Gabon
55.559 %
54
Eswatini flag
Eswatini
55.352 %
55
Gambia flag
Gambia
55.118 %
56
Mongolia flag
Mongolia
53.632 %
57
Guatemala flag
Guatemala
53.259 %
58
Laos flag
Laos
51 %
59
El Salvador flag
El Salvador
49.5 %
60
Philippines flag
Philippines
48.568 %
61
Peru flag
Peru
45.564 %
62
Libya flag
Libya
45.262 %
63
Azerbaijan flag
Azerbaijan
44.937 %
64
Honduras flag
Honduras
44.4 %
65
Panama flag
Panama
44.365 %
66
Kyrgyzstan flag
Kyrgyzstan
42.687 %
67
Namibia flag
Namibia
42.408 %
68
Guinea flag
Guinea
41.5 %
69
Vietnam flag
Vietnam
40.373 %
70
Paraguay flag
Paraguay
39.03 %
71
Egypt flag
Egypt
36.716 %
72
Brunei Darussalam flag
Brunei Darussalam
35.789 %
73
Iraq flag
Iraq
35.439 %
74
Indonesia flag
Indonesia
33.472 %
75
Myanmar flag
Myanmar
32.608 %
76
Syrian Arab Republic flag
Syrian Arab Republic
32.066 %
77
Brazil flag
Brazil
31.433 %
78
Mexico flag
Mexico
30.448 %
79
Morocco flag
Morocco
30.367 %
80
State of Palestine flag
State of Palestine
30 %
81
Dominican Republic flag
Dominican Republic
27.792 %
82
South Africa flag
South Africa
27.229 %
83
Zimbabwe flag
Zimbabwe
26.926 %
84
Uzbekistan flag
Uzbekistan
26.731 %
85
Venezuela flag
Venezuela
26.407 %
86
Guyana flag
Guyana
26.1 %
87
Albania flag
Albania
25.5 %
88
Republic of Moldova flag
Republic of Moldova
23.7 %
89
Uruguay flag
Uruguay
23.7 %
90
Turkey flag
Turkey
23.187 %
91
Kazakhstan flag
Kazakhstan
21.674 %
92
Colombia flag
Colombia
19.832 %
93
Papua New Guinea flag
Papua New Guinea
19.75 %
94
Angola flag
Angola
19.7 %
95
Argentina flag
Argentina
19.566 %
96
Montenegro flag
Montenegro
19.1 %
97
Kiribati flag
Kiribati
16.8 %
98
Belize flag
Belize
15.761 %
99
Fiji flag
Fiji
15 %
100
Hungary flag
Hungary
14.2 %
101
Georgia flag
Georgia
13.6 %
102
Armenia flag
Armenia
12.307 %
103
Costa Rica flag
Costa Rica
11.781 %
104
Trinidad and Tobago flag
Trinidad and Tobago
11.06 %
105
Chile flag
Chile
10.97 %
106
Turkmenistan flag
Turkmenistan
10.5 %
107
Solomon Islands flag
Solomon Islands
10.4 %
108
Suriname flag
Suriname
8.267 %
109
Ireland flag
Ireland
6.4 %
110
Bosnia and Herzegovina flag
Bosnia and Herzegovina
5.1 %
111
Ukraine flag
Ukraine
5 %
112
Saint Lucia flag
Saint Lucia
4.85 %
113
Samoa flag
Samoa
4.55 %
114
Vanuatu flag
Vanuatu
4.55 %
115
Austria flag
Austria
4.4 %
116
Tuvalu flag
Tuvalu
4.25 %
117
Cayman Islands flag
Cayman Islands
4.15 %
118
Oman flag
Oman
4 %
119
Lithuania flag
Lithuania
3.7 %
120
Romania flag
Romania
3.65 %
121
Russia flag
Russia
3.55 %
122
British Virgin Islands flag
British Virgin Islands
3.166 %
123
Nauru flag
Nauru
3.15 %
124
Latvia flag
Latvia
2.75 %
125
Marshall Islands flag
Marshall Islands
2.2 %
126
Cuba flag
Cuba
2.154 %
127
Palau flag
Palau
1.95 %
128
Poland flag
Poland
1.8 %
129
Tonga flag
Tonga
1.8 %
130
North Macedonia flag
North Macedonia
1.3 %
131
Portugal flag
Portugal
1.1 %
132
United Arab Emirates flag
United Arab Emirates
0.95 %
133
Serbia flag
Serbia
0.65 %
134
Croatia flag
Croatia
0.4 %
135
Canada flag
Canada
0.25 %
136
Greece flag
Greece
0.25 %
137
Sweden flag
Sweden
0.25 %
138
Cyprus flag
Cyprus
0.2 %
139
United States flag
United States
0.2 %
140
Australia flag
Australia
0.165 %
141
Bulgaria flag
Bulgaria
0.1 %
142
United Kingdom flag
United Kingdom
0.1 %
143
Czech Republic flag
Czech Republic
0.05 %
144
Estonia flag
Estonia
0.05 %
145
Slovakia flag
Slovakia
0.05 %
146
Malta flag
Malta
0.038 %
147
Bermuda flag
Bermuda
0.023 %
148
Italy flag
Italy
0.02 %
149
Andorra flag
Andorra
0 %
150
Aruba flag
Aruba
0 %
151
Belgium flag
Belgium
0 %
152
Denmark flag
Denmark
0 %
153
Finland flag
Finland
0 %
154
France flag
France
0 %
155
Germany flag
Germany
0 %
156
Iceland flag
Iceland
0 %
157
Kuwait flag
Kuwait
0 %
158
Luxembourg flag
Luxembourg
0 %
159
Monaco flag
Monaco
0 %
160
Netherlands flag
Netherlands
0 %
161
New Zealand flag
New Zealand
0 %
162
Norway flag
Norway
0 %
163
Singapore flag
Singapore
0 %
164
Switzerland flag
Switzerland
0 %

Top 10 Countries

  1. #1South Sudan flagSouth Sudan
  2. #2Sudan flagSudan
  3. #3Lebanon flagLebanon
  4. #4Chad flagChad
  5. #5Ethiopia flagEthiopia
  6. #6Madagascar flagMadagascar
  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. #164Switzerland flagSwitzerland
  2. #163Singapore flagSingapore
  3. #162Norway flagNorway
  4. #161New Zealand flagNew Zealand
  5. #160Netherlands flagNetherlands
  6. #159Monaco flagMonaco
  7. #158Luxembourg flagLuxembourg
  8. #157Kuwait flagKuwait
  9. #156Iceland flagIceland
  10. #155Germany flagGermany

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

Analysis & Context

The statistic of "Population living in slums" measures the percentage of a population residing in inadequate housing conditions, often characterized by overcrowding, lack of access to basic services, and insecure tenure. This metric is a critical indicator of urban poverty and social inequality, highlighting the urgent need for improved housing policies and sustainable urban development. In 2002, the global landscape of slum populations presents a stark contrast between countries, offering insight into the socioeconomic and environmental challenges faced by diverse regions.

Global Context of Slum Living in 2002

In 2002, the world witnessed a myriad of economic and social changes impacting urban populations. As globalization accelerated, cities became magnets for those seeking better economic opportunities, resulting in rapid urbanization. However, this influx often exceeded the capacity of cities to provide adequate housing, leading to an increase in slum populations. According to data from 164 countries, the average percentage of populations living in slums was 33.73%. Notably, South Sudan reported the highest percentage, with an alarming 99.8% of its population living in slum conditions, illustrating the extreme challenges faced by impoverished nations.

Regional Disparities in Slum Populations

Regional disparities in slum populations were pronounced in 2002. Africa, particularly Sub-Saharan Africa, had some of the highest slum populations globally. Countries such as Chad (90.4565%) and Ethiopia (89.0763%) highlight the severe housing shortages and socioeconomic struggles in the region. In contrast, many developed countries reported negligible slum populations, with countries such as Germany, France, and Norway reporting 0%, reflecting advanced infrastructure and comprehensive housing policies. These disparities underscore the importance of targeted international aid and development programs to address the housing needs in underdeveloped regions.

Economic Implications of Slum Living

The economic implications of slum living in 2002 were significant. Slum conditions often result in a lack of access to education and healthcare, perpetuating cycles of poverty. The high slum population in countries like Mozambique (86.5818%) and the Central African Republic (83.1231%) can severely limit economic growth and development. Conversely, countries with minimal slum populations, such as New Zealand and Switzerland, benefit from a more stable and productive workforce. Addressing slum conditions is therefore essential not only for improving individual livelihoods but also for fostering broader economic development.

Policy Challenges and Solutions

In tackling the issue of slum populations in 2002, policymakers faced numerous challenges, including limited resources, political instability, and rapid urbanization. Efforts to reduce slum populations required comprehensive urban planning and investment in affordable housing. Successful policies often involved partnerships between governments, NGOs, and international organizations. For example, initiatives that focused on upgrading existing slum infrastructure rather than relocation proved more sustainable. The experiences of countries like Mauritania (81.3166%) and Madagascar (89.0341%) demonstrate that integrated approaches, including legal reforms and community participation, are crucial for effective slum reduction.

Environmental and Social Impact

The environmental and social impacts of slum populations were profound in 2002. Slums are typically located in environmentally hazardous areas, increasing vulnerability to disasters such as floods and landslides. This was evident in populous slum regions like Lebanon (92.4%), where poor infrastructure exacerbated environmental degradation. Socially, slums can lead to increased crime rates and social instability, further entrenching poverty. However, slum communities often exhibit strong social networks and resilience, which can be leveraged in community-led development initiatives. These aspects highlight the need for holistic approaches in addressing the multifaceted challenges posed by slum living.

In summary, understanding the dynamics of slum populations in 2002 provides crucial insights into the broader challenges of urbanization and poverty. The disparities between countries, the economic and social implications, and the pressing need for effective policy interventions underscore the complexity of addressing slum living. Developing sustainable housing solutions remains a global priority, with lessons from 2002 serving as a foundation for future efforts to improve the quality of life for millions living in slums 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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