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.

Countries by Mortality rate attributed to household and ambient air pollution, age-standardized, female (per 100,000 female population)
Rank Country per capita
1Afghanistan265
2Central African Republic257.8
3Lesotho242.2
4Solomon Islands238.6
5Sierra Leone235.1
6Guinea220.9
7Sao Tome and Principe216.6
8Vanuatu216.3
9Haiti211.6
10Micronesia208.2
11Chad206.6
12Niger202.1
13Gambia201.3
14Guinea-Bissau195.9
15Eritrea193.4
16Madagascar193.3
17Kiribati191.3
18DR Congo188.8
19Somalia188.6
20Burundi181
21Togo180.9
22Benin180.5
23Tajikistan179.4
24Cameroon178
25North Korea176.4
26Mozambique175.2
27Timor-Leste171.6
28Republic of Congo169.8
29Laos169
30Papua New Guinea167.7
31Burkina Faso167.4
32Yemen166.8
33Philippines166.2
34Mali165.9
35Equatorial Guinea164.5
36Zimbabwe164.2
37Mongolia163.4
38Nigeria162.9
39Ghana159.9
40Liberia157.7
41Pakistan157.5
42Djibouti157.2
43Nepal156
44Myanmar155.4
45Comoros155.2
46Côte d'Ivoire148.2
47Rwanda147.7
48Zambia141.5
49Senegal140.4
50Cambodia139.4
51Sudan135.4
51Uganda135.4
53Samoa134.5
54Mauritania133.1
55Bangladesh130.5
56Uzbekistan129.7
57Ethiopia126.9
58Angola121.4
59India119.9
60South Sudan117.3
61Eswatini116.9
62Botswana115.6
63Kenya114.2
64Tanzania113.8
65Malawi112.9
66Namibia109.3
67Honduras109.2
68Qatar106.8
69Azerbaijan106.5
70Kyrgyzstan101.9
71Bosnia and Herzegovina95.3
72Albania94.2
73Oman94.1
74Montenegro91.5
75Bhutan90.2
76Fiji88.6
77Egypt87.9
78Syria87.7
79Guyana82.6
80Indonesia82.4
81Guatemala82.3
82Saudi Arabia80.4
83North Macedonia78.7
84Iraq75.2
85Bolivia74.3
85Nicaragua74.3
85Turkmenistan74.3
88China73.5
89Vietnam71.6
90Cabo Verde70.7
91Sri Lanka70.6
92Georgia66.3
93Kazakhstan65.3
94Malaysia63.4
95South Africa61.7
96Gabon61.5
97Morocco60.3
98Bahrain60
99Ukraine59.1
100Serbia57.4
101Armenia57.3
102Moldova55.4
103Iran52.3
104Romania52.1
105United Arab Emirates50.3
106Russia49.6
107Libya49.3
108Belarus49.2
109Bulgaria48.1
110Tunisia45.4
111Algeria45
112Paraguay43.1
113Grenada41.9
114Lebanon41.5
115Suriname39.7
116Mexico37.2
116Türkiye37.2
118Tonga36.8
119Peru35.9
120Thailand35.5
121Dominican Republic35.4
122Cuba35.1
123Jordan34.7
124Belize33.8
125Hungary33
126El Salvador32.9
127Jamaica32.4
128Seychelles32
128Saint Vincent and the Grenadines32
130Poland30.9
131Venezuela30.3
132Latvia29.5
133Lithuania29.4
134Colombia27.4
135Mauritius27.1
136Maldives26.3
137Czechia25.3
138Croatia24
139Ecuador23.9
140Brazil23.5
141Argentina23
142Kuwait22.7
143Panama22.5
144Slovakia21.4
145Saint Lucia21.3
146Antigua and Barbuda17.6
147Greece17.2
148Singapore16.8
149Barbados16.7
150Malta16.6
151Brunei15.8
152Slovenia15.2
153Trinidad and Tobago14.4
154Costa Rica13.9
155Austria13.8
155Chile13.8
157South Korea13.6
158Belgium11.9
159Italy11.6
160Uruguay11.5
161United States11.3
162Israel11.1
162Netherlands11.1
164Cyprus10.6
165United Kingdom10.5
166Denmark10.4
167Ireland10.1
168New Zealand10
169Germany9.6
169Luxembourg9.6
171Estonia8.7
172Japan8.4
173Switzerland8.3
174Bahamas8
175Australia7.9
176Portugal7.4
177France7.2
178Spain7
179Iceland6.5
179Sweden6.5
181Norway6.4
182Canada6.3
183Finland5.1

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.

Sources