PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-1 value (% of total) by country

Percent of population exposed to ambient concentrations of PM2.5 that exceed the World Health Organization (WHO) Interim Target 1 (IT-1) is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 35 micrograms per cubic meter. The Air Quality...

Countries reporting
194
Highest
100.0%
Burundi
Lowest
0.0%
Zimbabwe
Median
0.0%
Years covered
28
1990–2017
Data points
2,328

What the numbers show

PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-1 value (% of total) is currently reported for 194 countries. The highest value is 100.0% in Burundi; the lowest is 0.0% in Zimbabwe.

The median across all reporting countries is 0.0%, and the mean is 24.3%.

Over the past decade 36 countries rose and 52 fell. The largest increase was in Cabo Verde (up 1,208,510,000,000.0%), and the largest decrease in Albania (down 100.0%).

PM2.5 pollution, population exposed to levels exceeding WHO Interim: full country ranking

#Country LatestYear 10-year changeTrend
1 Burundi 100.0% 2017 unchanged flat
1 Bahrain, Kingdom of 100.0% 2017 unchanged flat
1 Central African Republic 100.0% 2017 unchanged flat
1 Cameroon 100.0% 2017 unchanged flat
1 Congo, Republic of 100.0% 2017 up 12.2% flat
1 Djibouti 100.0% 2017 unchanged flat
1 Eritrea, The State of 100.0% 2017 unchanged flat
1 Equatorial Guinea, Republic of 100.0% 2017 up 0.0% flat
1 Iraq 100.0% 2017 unchanged flat
1 Libya 100.0% 2017 unchanged flat
1 Mauritania, Islamic Republic of 100.0% 2017 up 1.1% flat
1 Niger 100.0% 2017 unchanged flat
1 Qatar 100.0% 2017 unchanged flat
1 Rwanda 100.0% 2017 unchanged flat
1 Saudi Arabia 100.0% 2017 unchanged flat
1 Sudan 100.0% 2017 unchanged flat
1 South Sudan, Republic of 100.0% 2017 up 0.3% flat
1 Chad 100.0% 2017 unchanged flat
1 Uganda 100.0% 2017 up 1.6% flat
1 Yemen, Republic of 100.0% 2017 unchanged flat
21 Egypt, Arab Republic of 100.0% 2017 up 0.0% flat
22 Gabon 100.0% 2017 up 12.7% flat
23 Nepal 100.0% 2017 down 0.0% flat
24 Bangladesh 100.0% 2017 down 0.0% flat
25 Kuwait 99.9% 2017 up 0.0% flat
26 Afghanistan, Islamic Republic of 99.7% 2017 down 0.3% flat
27 Pakistan 99.6% 2017 down 0.1% flat
28 Oman 98.9% 2017 up 1.1% flat
29 United Arab Emirates 98.3% 2017 up 13.7% flat
30 Burkina Faso 94.4% 2017 up 17.7% falling
31 TΓΌrkiye, Republic of 91.6% 2017 up 10.5% flat
32 Congo, Democratic Republic of the 89.6% 2017 down 5.5% falling
33 Nigeria 85.5% 2017 up 13.2% falling
34 India 84.8% 2017 down 5.0% flat
35 Algeria 84.4% 2017 up 120.6% falling
36 Senegal 83.8% 2017 up 50.5% falling
37 China, People's Republic of 81.2% 2017 down 13.9% falling
38 Tajikistan, Republic of 80.0% 2017 down 12.6% falling
39 Ethiopia, The Federal Democratic Republic of 77.0% 2017 up 85.8% rising
40 Tunisia 77.0% 2017 up 160.1% falling
41 Syrian Arab Republic 69.8% 2017 up 11.8% falling
42 Mali 64.2% 2017 up 35.9% falling
43 Mongolia 63.3% 2017 up 0.6% rising
44 Bhutan 54.9% 2017 down 23.8% falling
45 Togo 51.9% 2017 up 58.8% volatile
46 Iran, Islamic Republic of 49.6% 2017 up 10.4% rising
47 Benin 45.2% 2017 up 26.9% flat
48 Ghana 45.1% 2017 up 504.5% volatile
49 Myanmar 42.9% 2017 down 52.3% falling
50 Vietnam 34.5% 2017 down 35.7% falling
51 Armenia, Republic of 34.3% 2017 down 40.7% falling
52 Cabo Verde 30.0% 2017 up 1,208,510,000,000.0% volatile
53 Palestine 29.7% 2017 up 70.4% falling
54 Angola 23.9% 2017 down 38.2% falling
55 Morocco 21.9% 2017 up 155.4% volatile
56 North Macedonia, Republic of 21.2% 2017 down 52.4% falling
57 Kenya 20.8% 2017 up 113.6% rising
58 Jordan 19.8% 2017 up 13.0% falling
59 Somalia 19.7% 2017 up 101.6% rising
60 Korea, Democratic People's Republic of 19.3% 2017 down 77.8% falling
61 Tanzania, United Republic of 19.3% 2017 up 42.1% rising
62 Uzbekistan, Republic of 18.0% 2017 down 48.8% falling
63 Gambia, The 17.2% 2017 β€” volatile
64 Bosnia and Herzegovina 13.4% 2017 down 72.2% falling
65 Kyrgyz Republic 12.6% 2017 down 63.1% falling
66 Peru 11.7% 2017 down 55.6% falling
67 South Africa 6.2% 2017 down 59.9% falling
68 Israel 6.1% 2017 up 30.2% rising
69 Lao People's Democratic Republic 4.1% 2017 down 81.6% volatile
70 Thailand 3.2% 2017 down 87.1% falling
71 CΓ΄te d'Ivoire 2.8% 2017 up 63,668.1% volatile
72 Brazil 2.0% 2017 down 47.1% falling
73 Belarus, Republic of 1.8% 2017 up 5.6% rising
74 Mexico 1.6% 2017 down 84.9% volatile
75 SΓ£o TomΓ© and PrΓ­ncipe, Democratic Republic of 1.3% 2017 down 5.3% volatile
76 Turkmenistan 0.8% 2017 down 45.1% volatile
77 Russian Federation 0.8% 2017 down 49.4% falling
78 Indonesia 0.6% 2017 down 60.3% falling
79 Azerbaijan, Republic of 0.6% 2017 up 22.6% volatile
80 Poland, Republic of 0.4% 2017 down 96.6% volatile
81 Chile 0.3% 2017 down 86.3% volatile
82 Montenegro 0.3% 2017 down 80.9% volatile
83 Serbia, Republic of 0.2% 2017 down 98.8% volatile
84 Georgia 0.2% 2017 down 3.3% volatile
85 Lesotho, Kingdom of 0.1% 2017 down 4.9% volatile
86 Greece 0.1% 2017 up 97.7% volatile
87 Bulgaria 0.1% 2017 down 95.4% volatile
88 Argentina 0.1% 2017 down 96.8% volatile
89 United States 0.0% 2017 down 67.2% volatile
90 Zambia 0.0% 2017 down 89.6% volatile
91 Lebanon 0.0% 2017 β€” volatile
92 Albania 0.0% 2017 down 100.0% volatile
92 Andorra, Principality of 0.0% 2017 β€” flat
92 American Samoa 0.0% 2017 β€” flat
92 Antigua and Barbuda 0.0% 2017 β€” flat
92 Australia 0.0% 2017 β€” flat
92 Austria 0.0% 2017 β€” flat
92 Belgium 0.0% 2017 β€” flat
92 Bahamas, The 0.0% 2017 β€” flat
92 Belize 0.0% 2017 β€” flat
92 Bermuda 0.0% 2017 β€” flat
92 Bolivia 0.0% 2017 down 100.0% volatile
92 Barbados 0.0% 2017 β€” flat
92 Brunei Darussalam 0.0% 2017 β€” flat
92 Botswana 0.0% 2017 β€” flat
92 Canada 0.0% 2017 β€” flat
92 Switzerland 0.0% 2017 β€” flat
92 Colombia 0.0% 2017 β€” flat
92 Comoros, Union of the 0.0% 2017 β€” flat
92 Costa Rica 0.0% 2017 β€” flat
92 Cuba 0.0% 2017 down 100.0% volatile
92 Cyprus 0.0% 2017 β€” flat
92 Czech Republic 0.0% 2017 down 100.0% volatile
92 Germany 0.0% 2017 β€” flat
92 Dominica 0.0% 2017 β€” flat
92 Denmark 0.0% 2017 β€” flat
92 Dominican Republic 0.0% 2017 β€” flat
92 Ecuador 0.0% 2017 β€” flat
92 Spain 0.0% 2017 β€” flat
92 Estonia, Republic of 0.0% 2017 β€” flat
92 Finland 0.0% 2017 β€” flat
92 Fiji, Republic of 0.0% 2017 β€” flat
92 France 0.0% 2017 β€” flat
92 Micronesia, Federated States of 0.0% 2017 β€” flat
92 United Kingdom 0.0% 2017 β€” flat
92 Guinea 0.0% 2017 β€” volatile
92 Guinea-Bissau 0.0% 2017 β€” volatile
92 Grenada 0.0% 2017 β€” flat
92 Greenland 0.0% 2017 β€” flat
92 Guatemala 0.0% 2017 down 100.0% volatile
92 Guam 0.0% 2017 β€” flat
92 Guyana 0.0% 2017 β€” flat
92 Honduras 0.0% 2017 down 100.0% volatile
92 Croatia, Republic of 0.0% 2017 down 100.0% volatile
92 Haiti 0.0% 2017 β€” flat
92 Hungary 0.0% 2017 β€” flat
92 Ireland 0.0% 2017 β€” flat
92 Iceland 0.0% 2017 β€” flat
92 Italy 0.0% 2017 β€” volatile
92 Jamaica 0.0% 2017 β€” flat
92 Japan 0.0% 2017 β€” flat
92 Kazakhstan, Republic of 0.0% 2017 β€” volatile
92 Cambodia 0.0% 2017 down 100.0% volatile
92 Kiribati 0.0% 2017 β€” flat
92 Korea, Republic of 0.0% 2017 down 100.0% volatile
92 Liberia 0.0% 2017 β€” flat
92 St. Lucia 0.0% 2017 β€” flat
92 Sri Lanka 0.0% 2017 down 100.0% volatile
92 Lithuania, Republic of 0.0% 2017 β€” flat
92 Luxembourg 0.0% 2017 β€” flat
92 Latvia, Republic of 0.0% 2017 β€” flat
92 Moldova, Republic of 0.0% 2017 β€” flat
92 Madagascar, Republic of 0.0% 2017 β€” flat
92 Maldives 0.0% 2017 β€” flat
92 Marshall Islands, Republic of the 0.0% 2017 β€” flat
92 Malta 0.0% 2017 β€” flat
92 Northern Mariana Islands 0.0% 2017 β€” flat
92 Mozambique, Republic of 0.0% 2017 β€” flat
92 Mauritius 0.0% 2017 β€” flat
92 Malawi 0.0% 2017 β€” flat
92 Malaysia 0.0% 2017 β€” flat
92 Namibia 0.0% 2017 down 100.0% volatile
92 Nicaragua 0.0% 2017 β€” flat
92 Netherlands, The 0.0% 2017 β€” flat
92 Norway 0.0% 2017 β€” flat
92 New Zealand 0.0% 2017 β€” flat
92 Panama 0.0% 2017 β€” flat
92 Philippines 0.0% 2017 down 100.0% volatile
92 Papua New Guinea 0.0% 2017 β€” flat
92 Puerto Rico 0.0% 2017 β€” flat
92 Portugal 0.0% 2017 β€” flat
92 Paraguay 0.0% 2017 β€” flat
92 Romania 0.0% 2017 β€” volatile
92 Singapore 0.0% 2017 β€” flat
92 Solomon Islands 0.0% 2017 β€” flat
92 Sierra Leone 0.0% 2017 β€” flat
92 El Salvador 0.0% 2017 down 100.0% volatile
92 Suriname 0.0% 2017 down 100.0% volatile
92 Slovak Republic 0.0% 2017 β€” volatile
92 Slovenia, Republic of 0.0% 2017 β€” flat
92 Sweden 0.0% 2017 β€” flat
92 Eswatini, Kingdom of 0.0% 2017 β€” flat
92 Seychelles 0.0% 2017 β€” flat
92 Timor-Leste, Democratic Republic of 0.0% 2017 β€” flat
92 Tonga 0.0% 2017 β€” flat
92 Trinidad and Tobago 0.0% 2017 β€” flat
92 Ukraine 0.0% 2017 β€” volatile
92 Uruguay 0.0% 2017 β€” flat
92 St. Vincent and the Grenadines 0.0% 2017 β€” flat
92 Venezuela, RepΓΊblica Bolivariana de 0.0% 2017 β€” flat
92 United States Virgin Islands 0.0% 2017 β€” flat
92 Vanuatu 0.0% 2017 β€” flat
92 Samoa 0.0% 2017 β€” flat
92 Zimbabwe 0.0% 2017 β€” flat

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PM2.5 pollution, population exposed to levels exceeding WHO Interim by country. Statizoid, drawing on Global Burden of Disease Study 2017 (GBD 2017), Institute for Health Metrics and Evaluation (IHME). Retrieved 18 August 2026, from https://environment.statizoid.com/stat/pm2-5-pollution-population-exposed-to-levels-exceeding-who-interim-target-1-value-percent/

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About this data

Indicator
PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-1 value (% of total)
Unit
% of total
Source
Global Burden of Disease Study 2017 (GBD 2017), Institute for Health Metrics and Evaluation (IHME)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
194 places, 2,328 data points, 1990–2017
Last refreshed

Percent of population exposed to ambient concentrations of PM2.5 that exceed the World Health Organization (WHO) Interim Target 1 (IT-1) is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 35 micrograms per cubic meter. The Air Quality Guideline (AQG) of 10 micrograms per cubic meter is recommended by the WHO as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed.