Countries by Mortality rate attributed to household and ambient air pollution, age-standardized, female (per 100,000 female population)
Afghanistan ranks first with a female air pollution mortality rate of 265 per 100,000 female population, the highest among all 183 countries measured. Finland sits at the opposite end with a rate of 5.1. The gap of nearly 260 points between these two countries illustrates the wide variation in exposure and health outcomes tied to household and ambient air pollution across the globe.
Ranking 2019
Values shown in per capita.
| Rank | Country | per capita |
|---|---|---|
| 1 | Afghanistan | 265 |
| 2 | Central African Republic | 257.8 |
| 3 | Lesotho | 242.2 |
| 4 | Solomon Islands | 238.6 |
| 5 | Sierra Leone | 235.1 |
| 6 | Guinea | 220.9 |
| 7 | Sao Tome and Principe | 216.6 |
| 8 | Vanuatu | 216.3 |
| 9 | Haiti | 211.6 |
| 10 | Micronesia | 208.2 |
| 11 | Chad | 206.6 |
| 12 | Niger | 202.1 |
| 13 | Gambia | 201.3 |
| 14 | Guinea-Bissau | 195.9 |
| 15 | Eritrea | 193.4 |
| 16 | Madagascar | 193.3 |
| 17 | Kiribati | 191.3 |
| 18 | DR Congo | 188.8 |
| 19 | Somalia | 188.6 |
| 20 | Burundi | 181 |
| 21 | Togo | 180.9 |
| 22 | Benin | 180.5 |
| 23 | Tajikistan | 179.4 |
| 24 | Cameroon | 178 |
| 25 | North Korea | 176.4 |
| 26 | Mozambique | 175.2 |
| 27 | Timor-Leste | 171.6 |
| 28 | Republic of Congo | 169.8 |
| 29 | Laos | 169 |
| 30 | Papua New Guinea | 167.7 |
| 31 | Burkina Faso | 167.4 |
| 32 | Yemen | 166.8 |
| 33 | Philippines | 166.2 |
| 34 | Mali | 165.9 |
| 35 | Equatorial Guinea | 164.5 |
| 36 | Zimbabwe | 164.2 |
| 37 | Mongolia | 163.4 |
| 38 | Nigeria | 162.9 |
| 39 | Ghana | 159.9 |
| 40 | Liberia | 157.7 |
| 41 | Pakistan | 157.5 |
| 42 | Djibouti | 157.2 |
| 43 | Nepal | 156 |
| 44 | Myanmar | 155.4 |
| 45 | Comoros | 155.2 |
| 46 | Côte d'Ivoire | 148.2 |
| 47 | Rwanda | 147.7 |
| 48 | Zambia | 141.5 |
| 49 | Senegal | 140.4 |
| 50 | Cambodia | 139.4 |
| 51 | Sudan | 135.4 |
| 51 | Uganda | 135.4 |
| 53 | Samoa | 134.5 |
| 54 | Mauritania | 133.1 |
| 55 | Bangladesh | 130.5 |
| 56 | Uzbekistan | 129.7 |
| 57 | Ethiopia | 126.9 |
| 58 | Angola | 121.4 |
| 59 | India | 119.9 |
| 60 | South Sudan | 117.3 |
| 61 | Eswatini | 116.9 |
| 62 | Botswana | 115.6 |
| 63 | Kenya | 114.2 |
| 64 | Tanzania | 113.8 |
| 65 | Malawi | 112.9 |
| 66 | Namibia | 109.3 |
| 67 | Honduras | 109.2 |
| 68 | Qatar | 106.8 |
| 69 | Azerbaijan | 106.5 |
| 70 | Kyrgyzstan | 101.9 |
| 71 | Bosnia and Herzegovina | 95.3 |
| 72 | Albania | 94.2 |
| 73 | Oman | 94.1 |
| 74 | Montenegro | 91.5 |
| 75 | Bhutan | 90.2 |
| 76 | Fiji | 88.6 |
| 77 | Egypt | 87.9 |
| 78 | Syria | 87.7 |
| 79 | Guyana | 82.6 |
| 80 | Indonesia | 82.4 |
| 81 | Guatemala | 82.3 |
| 82 | Saudi Arabia | 80.4 |
| 83 | North Macedonia | 78.7 |
| 84 | Iraq | 75.2 |
| 85 | Bolivia | 74.3 |
| 85 | Nicaragua | 74.3 |
| 85 | Turkmenistan | 74.3 |
| 88 | China | 73.5 |
| 89 | Vietnam | 71.6 |
| 90 | Cabo Verde | 70.7 |
| 91 | Sri Lanka | 70.6 |
| 92 | Georgia | 66.3 |
| 93 | Kazakhstan | 65.3 |
| 94 | Malaysia | 63.4 |
| 95 | South Africa | 61.7 |
| 96 | Gabon | 61.5 |
| 97 | Morocco | 60.3 |
| 98 | Bahrain | 60 |
| 99 | Ukraine | 59.1 |
| 100 | Serbia | 57.4 |
| 101 | Armenia | 57.3 |
| 102 | Moldova | 55.4 |
| 103 | Iran | 52.3 |
| 104 | Romania | 52.1 |
| 105 | United Arab Emirates | 50.3 |
| 106 | Russia | 49.6 |
| 107 | Libya | 49.3 |
| 108 | Belarus | 49.2 |
| 109 | Bulgaria | 48.1 |
| 110 | Tunisia | 45.4 |
| 111 | Algeria | 45 |
| 112 | Paraguay | 43.1 |
| 113 | Grenada | 41.9 |
| 114 | Lebanon | 41.5 |
| 115 | Suriname | 39.7 |
| 116 | Mexico | 37.2 |
| 116 | Türkiye | 37.2 |
| 118 | Tonga | 36.8 |
| 119 | Peru | 35.9 |
| 120 | Thailand | 35.5 |
| 121 | Dominican Republic | 35.4 |
| 122 | Cuba | 35.1 |
| 123 | Jordan | 34.7 |
| 124 | Belize | 33.8 |
| 125 | Hungary | 33 |
| 126 | El Salvador | 32.9 |
| 127 | Jamaica | 32.4 |
| 128 | Seychelles | 32 |
| 128 | Saint Vincent and the Grenadines | 32 |
| 130 | Poland | 30.9 |
| 131 | Venezuela | 30.3 |
| 132 | Latvia | 29.5 |
| 133 | Lithuania | 29.4 |
| 134 | Colombia | 27.4 |
| 135 | Mauritius | 27.1 |
| 136 | Maldives | 26.3 |
| 137 | Czechia | 25.3 |
| 138 | Croatia | 24 |
| 139 | Ecuador | 23.9 |
| 140 | Brazil | 23.5 |
| 141 | Argentina | 23 |
| 142 | Kuwait | 22.7 |
| 143 | Panama | 22.5 |
| 144 | Slovakia | 21.4 |
| 145 | Saint Lucia | 21.3 |
| 146 | Antigua and Barbuda | 17.6 |
| 147 | Greece | 17.2 |
| 148 | Singapore | 16.8 |
| 149 | Barbados | 16.7 |
| 150 | Malta | 16.6 |
| 151 | Brunei | 15.8 |
| 152 | Slovenia | 15.2 |
| 153 | Trinidad and Tobago | 14.4 |
| 154 | Costa Rica | 13.9 |
| 155 | Austria | 13.8 |
| 155 | Chile | 13.8 |
| 157 | South Korea | 13.6 |
| 158 | Belgium | 11.9 |
| 159 | Italy | 11.6 |
| 160 | Uruguay | 11.5 |
| 161 | United States | 11.3 |
| 162 | Israel | 11.1 |
| 162 | Netherlands | 11.1 |
| 164 | Cyprus | 10.6 |
| 165 | United Kingdom | 10.5 |
| 166 | Denmark | 10.4 |
| 167 | Ireland | 10.1 |
| 168 | New Zealand | 10 |
| 169 | Germany | 9.6 |
| 169 | Luxembourg | 9.6 |
| 171 | Estonia | 8.7 |
| 172 | Japan | 8.4 |
| 173 | Switzerland | 8.3 |
| 174 | Bahamas | 8 |
| 175 | Australia | 7.9 |
| 176 | Portugal | 7.4 |
| 177 | France | 7.2 |
| 178 | Spain | 7 |
| 179 | Iceland | 6.5 |
| 179 | Sweden | 6.5 |
| 181 | Norway | 6.4 |
| 182 | Canada | 6.3 |
| 183 | Finland | 5.1 |
Analysis
This metric measures the age-standardized mortality rate attributed to the joint effects of household and ambient air pollution, expressed per 100,000 female population. According to the source definition, it counts 'the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population,' with rates that are age-standardized. The following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); and ischaemic heart disease and related conditions. Data come from the World Bank World Development Indicators, indicator code SH.STA.AIRP.FE.P5, for the reference year 2019. Coverage is strong: all 183 countries in the dataset have data from within the last seven years, 100% of data points are classified as official quality, and no extreme outliers were detected at the three standard deviation threshold.
The ten highest-ranked countries by this metric are concentrated in Sub-Saharan Africa, South Asia, and the Pacific Islands. Afghanistan leads at 265 per 100,000, followed by Central African Republic at 257.8 and Lesotho at 242.2. Solomon Islands (238.6), Sierra Leone (235.1), Guinea (220.9), Sao Tome and Principe (216.6), Vanuatu (216.3), Haiti (211.6), and Micronesia, Fed. Sts. (208.2) round out the top ten. These countries are predominantly low-income nations where reliance on solid fuels for cooking and heating is common, though the data itself does not specify the source of exposure. Tajikistan (rank 23, 179.4) and North Korea (rank 25, 176.4) are notable non-African entries in the upper tier, as is the Philippines (rank 33, 166.2).
In the middle of the ranking, countries such as China (rank 88, 73.5), Vietnam (rank 89, 71.6), and Sri Lanka (rank 91, 70.6) sit well above the lower-income high-income divide but well below the most affected nations. Qatar ranks 68th at 106.8 and Bahrain ranks 98th at 60.0, placing these high-income Gulf states considerably higher than might be expected given their wealth levels. Honduras (rank 67, 109.2) ranks higher than several lower-income countries in Eastern Europe, such as Ukraine (rank 99, 59.1) and Romania (rank 104, 52.1). Among high-income countries, South Korea (rank 157, 13.6) ranks notably worse than Japan (rank 172, 8.4), despite similar geographic proximity and development levels.
Several limitations apply to this metric. The indicator covers only three disease categories and may not capture all pollution-related mortality pathways. Age-standardization allows cross-country comparison but can obscure differences in population age structure that affect absolute burden. The data year is 2019, predating any changes in energy use or pollution levels that may have occurred subsequently. Because the metric focuses exclusively on females, it cannot be used to assess overall national burden without reference to the parallel male indicator. Reporting reliability may vary across lower-income countries where cause-of-death data depends on modeling rather than direct registration. The zero-volatility figure across years suggests these estimates may rely on modeled rather than annually measured inputs, which limits the ability to track short-term changes.
Methodology
The metric is the age-standardized mortality rate attributed to household and ambient air pollution among females, per 100,000 female population. The source definition states it counts 'the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population,' with rates that are age-standardized. Diseases included are: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); and ischaemic heart disease and related conditions, as specified in the source note. Data are drawn from the World Bank World Development Indicators, indicator code SH.STA.AIRP.FE.P5, reference year 2019. The dataset covers 183 countries, exceeding the 80-country coverage threshold. All 183 countries (100%) have data from within the last seven years, and 100% of data points are classified as official quality. No extreme outliers were identified at the three standard deviation threshold. The value range spans from 5.1 (Finland) to 265.0 (Afghanistan), a spread of 5,096%. Year-over-year volatility averages 0.0%, indicating these estimates are stable across time and likely derived from modeled rather than annually surveyed data, which is a relevant caveat for interpreting trends.