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

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 Niger 94.05 2017
2 Egypt 87.00 2017
3 Cameroon 72.79 2017
4 Nigeria 71.80 2017
5 Chad 66.03 2017
6 Central African Republic 56.83 2017
7 Sudan 55.37 2017
8 Libya 54.25 2017
9 Equatorial Guinea 53.24 2017
10 Uganda 50.49 2017
11 Eritrea 48.03 2017
12 Mauritania 47.42 2017
13 Congo 46.64 2017
14 Djibouti 45.55 2017
15 Dem. Rep. Congo 44.91 2017
16 Gabon 44.39 2017
17 Rwanda 43.21 2017
18 Burkina Faso 42.94 2017
19 Senegal 40.70 2017
20 Benin 39.00 2017
21 Ethiopia 38.98 2017
22 Burundi 38.90 2017
23 Algeria 38.88 2017
24 Mali 38.53 2017
25 Tunisia 37.66 2017
26 Togo 35.73 2017
27 Cabo Verde 34.78 2017
28 Ghana 34.71 2017
29 The Gambia 33.98 2017
30 Morocco 32.59 2017
31 Angola 32.39 2017
32 Somalia 32.03 2017
33 Guinea-Bissau 29.77 2017
34 Tanzania 29.08 2017
35 Kenya 28.58 2017
36 São Tomé and Principe 28.54 2017
37 Lesotho 28.03 2017
38 Zambia 27.44 2017
39 Guinea 26.06 2017
40 Côte d'Ivoire 25.89 2017
41 Namibia 25.36 2017
42 South Africa 25.10 2017
43 Malawi 23.57 2017
44 Botswana 23.09 2017
45 Madagascar 22.54 2017
46 Zimbabwe 22.25 2017
47 Sierra Leone 21.63 2017
48 Mozambique 21.30 2017
49 Comoros 20.55 2017
50 Seychelles 20.18 2017
51 Liberia 17.98 2017
52 Eswatini 17.17 2017
53 Mauritius 14.46 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