PM2.5 air pollution, mean annual exposure (micrograms per cubic meter) - Country Ranking

Definition: Population-weighted exposure to ambient PM2.5 pollution is defined as the average level of exposure of a nation's population to concentrations of suspended particles measuring less than 2.5 microns in aerodynamic diameter, which are capable of penetrating deep into the respiratory tract and causing severe health damage. Exposure is calculated by weighting mean annual concentrations of PM2.5 by population in both urban and rural areas.

Source: Brauer, M. et al. 2017, for the Global Burden of Disease Study 2017.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Nepal 99.73 2017
2 Niger 94.05 2017
3 Qatar 91.19 2017
4 India 90.87 2017
5 Saudi Arabia 87.95 2017
6 Egypt 87.00 2017
7 Cameroon 72.79 2017
8 Nigeria 71.80 2017
9 Bahrain 70.82 2017
10 Chad 66.03 2017
11 Iraq 61.64 2017
12 Bangladesh 60.85 2017
13 Kuwait 60.75 2017
14 Pakistan 58.28 2017
15 Afghanistan 56.91 2017
16 Central African Republic 56.83 2017
17 Sudan 55.37 2017
18 Libya 54.25 2017
19 Equatorial Guinea 53.24 2017
20 China 52.66 2017
21 Uganda 50.49 2017
22 Yemen 50.46 2017
23 Eritrea 48.03 2017
24 Mauritania 47.42 2017
25 Congo 46.64 2017
26 Tajikistan 46.15 2017
27 Djibouti 45.55 2017
28 Dem. Rep. Congo 44.91 2017
29 Gabon 44.39 2017
30 Turkey 44.31 2017
31 Syrian Arab Republic 43.76 2017
32 Rwanda 43.21 2017
33 Burkina Faso 42.94 2017
34 Oman 41.12 2017
35 United Arab Emirates 40.92 2017
36 Senegal 40.70 2017
37 Mongolia 40.11 2017
38 Benin 39.00 2017
39 Iran 38.98 2017
40 Ethiopia 38.98 2017
41 Burundi 38.90 2017
42 Algeria 38.88 2017
43 Mali 38.53 2017
44 Bhutan 37.93 2017
45 Tunisia 37.66 2017
46 Togo 35.73 2017
47 Myanmar 35.56 2017
48 Cabo Verde 34.78 2017
49 Ghana 34.71 2017
50 The Gambia 33.98 2017
51 Jordan 33.01 2017
52 Morocco 32.59 2017
53 Armenia 32.53 2017
54 Angola 32.39 2017
55 Somalia 32.03 2017
56 Dem. People's Rep. Korea 32.01 2017
57 Lebanon 30.62 2017
58 Guinea-Bissau 29.77 2017
59 North Macedonia 29.73 2017
60 Vietnam 29.63 2017
61 Tanzania 29.08 2017
62 Kenya 28.58 2017
63 São Tomé and Principe 28.54 2017
64 Uzbekistan 28.46 2017
65 Lesotho 28.03 2017
66 Bosnia and Herzegovina 27.75 2017
67 Zambia 27.44 2017
68 Thailand 26.26 2017
69 Guinea 26.06 2017
70 Côte d'Ivoire 25.89 2017
71 Cambodia 25.61 2017
72 Namibia 25.36 2017
73 Lao PDR 25.11 2017
74 South Africa 25.10 2017
75 Korea 25.04 2017
76 Peru 24.79 2017
77 Suriname 24.78 2017
78 Serbia 24.73 2017
79 El Salvador 24.47 2017
80 Trinidad and Tobago 24.11 2017
81 Guatemala 24.07 2017
82 Malawi 23.57 2017
83 Botswana 23.09 2017
84 Barbados 23.08 2017
85 Belize 23.01 2017
86 Kyrgyz Republic 22.74 2017
87 Grenada 22.72 2017
88 Madagascar 22.54 2017
89 St. Lucia 22.40 2017
90 Guyana 22.38 2017
91 Zimbabwe 22.25 2017
92 St. Vincent and the Grenadines 22.20 2017
93 Georgia 22.20 2017
94 Turkmenistan 21.77 2017
95 Sierra Leone 21.63 2017
96 Bolivia 21.57 2017
97 Israel 21.38 2017
98 Mozambique 21.30 2017
99 Chile 21.04 2017
100 Mexico 20.92 2017
101 Poland 20.88 2017
102 Montenegro 20.78 2017
103 Honduras 20.63 2017
104 Comoros 20.55 2017
105 Ukraine 20.31 2017
106 Seychelles 20.18 2017
107 Azerbaijan 19.93 2017
108 Cuba 19.71 2017
109 Dominica 19.49 2017
110 Timor-Leste 19.26 2017
111 Bulgaria 19.15 2017
112 Singapore 19.08 2017
113 Belarus 18.77 2017
114 Antigua and Barbuda 18.62 2017
115 Albania 18.20 2017
116 Philippines 18.07 2017
117 Liberia 17.98 2017
118 Croatia 17.90 2017
119 Nicaragua 17.61 2017
120 Slovak Republic 17.56 2017
121 The Bahamas 17.37 2017
122 Cyprus 17.29 2017
123 Eswatini 17.17 2017
124 Venezuela 17.01 2017
125 Italy 16.75 2017
126 Colombia 16.53 2017
127 Indonesia 16.50 2017
128 Moldova 16.25 2017
129 Greece 16.22 2017
130 Russia 16.16 2017
131 Czech Republic 16.07 2017
132 Malaysia 16.04 2017
133 Slovenia 16.02 2017
134 Hungary 15.93 2017
135 Costa Rica 15.73 2017
136 Haiti 15.02 2017
137 Ecuador 14.89 2017
138 Romania 14.61 2017
139 Mauritius 14.46 2017
140 Malta 13.91 2017
141 Kazakhstan 13.82 2017
142 Dominican Republic 13.73 2017
143 Latvia 13.43 2017
144 Jamaica 13.40 2017
145 Argentina 13.31 2017
146 Belgium 12.89 2017
147 Brazil 12.71 2017
148 Austria 12.48 2017
149 Papua New Guinea 12.29 2017
150 Netherlands 12.03 2017
151 Germany 12.03 2017
152 Paraguay 11.91 2017
153 Solomon Islands 11.88 2017
154 Lithuania 11.85 2017
155 France 11.81 2017
156 Japan 11.70 2017
157 Vanuatu 11.65 2017
158 Greenland 11.60 2017
159 Samoa 11.55 2017
160 Panama 11.40 2017
161 Sri Lanka 11.10 2017
162 Fiji 10.84 2017
163 Tonga 10.79 2017
164 Kiribati 10.64 2017
165 United Kingdom 10.47 2017
166 Luxembourg 10.36 2017
167 Andorra 10.31 2017
168 Switzerland 10.30 2017
169 Denmark 10.03 2017
170 Spain 9.70 2017
171 Uruguay 9.27 2017
172 Australia 8.55 2017
173 Puerto Rico 8.35 2017
174 Ireland 8.21 2017
175 Portugal 8.16 2017
176 United States 7.41 2017
177 Norway 6.96 2017
178 Estonia 6.73 2017
179 Iceland 6.48 2017
180 Canada 6.43 2017
181 Sweden 6.18 2017
182 New Zealand 5.96 2017
183 Brunei 5.90 2017
184 Finland 5.86 2017

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Development Relevance: Air pollution places a major burden on world health. In many places, including cities but also in rural areas, exposure to air pollution is the main environmental threat to health, responsible for 6.5 million deaths per year, about one every 5 seconds. Around 40 percent of the world’s people rely on household burning of wood, charcoal, dung, crop waste, or coal to meet basic energy needs. Cooking and heating with solid fuels create harmful smoke and particles that fill homes and the surrounding environment. Household air pollution from cooking and heating with solid fuels is responsible for 2.9 million deaths a year. Long-term exposure to high levels of fine particles in the air contributes to a range of health effects, including respiratory diseases, lung cancer, and heart disease, resulting in 4.2 million deaths annually. Not only does exposure to air pollution affect the health of the world’s people, it also carries huge economic costs and represents a drag on development, particularly for low and middle income countries and vulnerable segments of the population such as children and the elderly.

Limitations and Exceptions: Pollutant concentrations are sensitive to local conditions, and even monitoring sites in the same city may register different levels. Direct monitoring of PM2.5 is still rare in most parts of the world, and measurement protocols and standards are not the same for all countries. These data should be considered only a general indication of air quality, intended to inform cross-country comparisons of the health risks due to particulate matter pollution. The guideline set by the World Health Organization (WHO) for PM2.5 is that annual mean concentrations should not exceed 10 micrograms per cubic meter, representing the lower range over which adverse health effects have been observed. The WHO has also recommended guideline values for emissions of PM2.5 from burning fuels in households.

Statistical Concept and Methodology: A. van Donkelaar, R.V. Martin, M. Brauer, N.C. Hsu, R.A. Kahn, R.C. Levy, A. Lyapustin, A.M. Sayer, D.M. Winker, "Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors," Environ. Sci. Technol 50, no. 7 (2016): 3762–3772; GBD 2017 Risk Factors Collaborators, "Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 194 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017," Lancet 392 (2018): 1923-1994; Shaddick G, Thomas M, Amini H, Broday DM, Cohen A, Frostad J, Green A, Gumy S, Liu Y, Martin RV, Prüss-Üstün A, Simpson D, van Donkelaar A, Brauer M. Data integration for the assessment of population exposure to ambient air pollution for global burden of disease assessment. Environ Sci Technol. 2018 Jun 29. Data provided by Institute for Health Metrics and Evaluation, University of Washington, Seattle. Data on exposure to ambient air pollution are derived from estimates of annual concentrations of very fine particulates produced by the Global Burden of Disease study, an international scientific effort led by the Institute for Health Metrics and Evaluation at the University of Washington. Estimates of annual concentrations are generated by combining data from atmospheric chemistry transport models, satellite observations of aerosols in the atmosphere, and ground-level monitoring of particulates. Exposure to concentrations of PM2.5 in both urban and rural areas is weighted by population and is aggregated at the national level.

Aggregation method: Weighted average

Periodicity: Annual