| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2019 PM2.5 City Scan | ||||||||||||||||
2 | This table shows the annual average PM2.5 levels available from data accessed on OpenAQ for the 50 most populous cities in the world. | ||||||||||||||||
3 | The methodology is available here. | ||||||||||||||||
4 | Important: The PM2.5 annual average calculations below were performed only with data accessed on OpenAQ. This may not represent the full set of relevant data available in the city or even from the sources sharing data on OpenAQ. There is also considerable variability with the percentage data coverage over the year for many cities. Therefore, these annual averages should not be taken necessarily as representative of a city or as 'official' results from an underlying source. | ||||||||||||||||
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6 | A Few Overall Stats | ||||||||||||||||
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8 | % of world's most population cities for which 2019 annual average data were calculable on OpenAQ: | 66 | |||||||||||||||
9 | Average Annual PM2.5 (ug/m3) in Top 50 Cities by population (where PM2.5 data were available on OpenAQ): | 39 | |||||||||||||||
10 | Total Population in Top 50 cities (where PM2.5 data were available on OpenAQ): | 428,150,000 | |||||||||||||||
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13 | City (Listed by Population Size) | Country | PM2.5 Annual Avg (μg/m3) | Stations included in this average | Percent time reporting onto OpenAQ over time-averaged interval | Population (Source: https://population.un.org/wup/Publications/Files/WUP2018-Highlights.pdf) | |||||||||||
14 | 1 | Tokyo | Japan | N/A | N/A | N/A | 37,400,068 | ||||||||||
15 | 2 | Delhi | India | 102 | 37 | 35 | 28,514,000 | ||||||||||
16 | 3 | Shanghai | China | 35.8 | 11 | 89 | 25,582,000 | ||||||||||
17 | 4 | São Paulo | Brazil | N/A | N/A | N/A | 21,650,000 | ||||||||||
18 | 5 | Mexico City | Mexico | 20.6 | 7 | 27 | 21,581,000 | ||||||||||
19 | 6 | Cairo | Egypt | N/A | N/A | N/A | 20,076,000 | ||||||||||
20 | 7 | Mumbai | India | 43.4 | 11 | 33 | 19,980,000 | ||||||||||
21 | 8 | Beijing | China | 40.5 | 14 | 83 | 19,618,000 | ||||||||||
22 | 9 | Dhaka | Bangladesh | 86.5 | 1 | 94 | 19,578,000 | ||||||||||
23 | 10 | Osaka | Japan | N/A | N/A | N/A | 19,281,000 | ||||||||||
24 | 11 | New York City | United States | 7.7 | 19 | 63 | 18,819,000 | ||||||||||
25 | 12 | Karachi | Pakistan | 44.3 | 1 | 56 | 15,400,000 | ||||||||||
26 | 13 | Buenos Aires | Argentina | N/A | N/A | N/A | 14,967,000 | ||||||||||
27 | 14 | Chongqing | China | 38.8 | 20 | 76 | 14,838,000 | ||||||||||
28 | 15 | Istanbul | Turkey | N/A | N/A | N/A | 14,751,000 | ||||||||||
29 | 16 | Kolkata | India | 52.1 | 5 | 38 | 14,681,000 | ||||||||||
30 | 17 | Manila | Philippines | N/A | N/A | N/A | 13,482,000 | ||||||||||
31 | 18 | Lagos | Nigeria | N/A | N/A | N/A | 13,463,000 | ||||||||||
32 | 19 | Rio de Janeiro | Brazil | N/A | N/A | N/A | 13,293,000 | ||||||||||
33 | 20 | Tianjin | China | 51 | 15 | 88.8 | 13,215,000 | ||||||||||
34 | 21 | Kinshasa | DR Congo | N/A | N/A | N/A | 13,171,000 | ||||||||||
35 | 22 | Guangzhou | China | 29.1 | 12 | 90 | 12,638,000 | ||||||||||
36 | 23 | Los Angeles | United States | 10.1 | 8 | 80 | 12,458,000 | ||||||||||
37 | 24 | Moscow | Russia | N/A | N/A | N/A | 12,410,000 | ||||||||||
38 | 25 | Shenzhen | China | 24 | 11 | 89 | 11,908,000 | ||||||||||
39 | 26 | Lahore | Pakistan | 123.9 | 1 | 57 | 11,738,000 | ||||||||||
40 | 27 | Bangalore | India | 27.1 | 8 | 34 | 11,440,000 | ||||||||||
41 | 28 | Paris | France | 14.3 | 2 | 79 | 10,901,000 | ||||||||||
42 | 29 | Bogotá | Colombia | 12.7 | 1 | 91 | 10,574,000 | ||||||||||
43 | 30 | Jakarta | Indonesia | 46.3 | 2 | 92 | 10,517,000 | ||||||||||
44 | 31 | Chennai | India | 34.3 | 5 | 41 | 10,456,000 | ||||||||||
45 | 32 | Lima | Peru | 30.1 | 1 | 92 | 10,391,000 | ||||||||||
46 | 33 | Bangkok | Thailand | N/A | N/A | N/A | 10,156,000 | ||||||||||
47 | 34 | Seoul | South Korea | N/A | N/A | N/A | 9,963,000 | ||||||||||
48 | 35 | Nagoya | Japan | N/A | N/A | N/A | 9,507,000 | ||||||||||
49 | 36 | Hyderabad | India | 38.2 | 7 | 41 | 9,482,000 | ||||||||||
50 | 37 | London | United Kingdom | 11.7 | 10 | 88 | 9,046,000 | ||||||||||
51 | 38 | Tehran | Iran | N/A | N/A | N/A | 8,896,000 | ||||||||||
52 | 39 | Chicago | United States | 10 | 10 | 69 | 8,864,000 | ||||||||||
53 | 40 | Chengdu | China | 40.4 | 9 | 89 | 8,813,000 | ||||||||||
54 | 41 | Nanjing | China | 38.7 | 9 | 89 | 8,245,000 | ||||||||||
55 | 42 | Wuhan | China | 43.1 | 10 | 90 | 8,176,000 | ||||||||||
56 | 43 | Ho Chi Minh City | Vietnam | 26.6 | 1 | 85 | 8,145,000 | ||||||||||
57 | 44 | Luanda | Angola | N/A | N/A | N/A | 7,774,000 | ||||||||||
58 | 45 | Ahmedabad | India | 56.7 | 39 | 1 | 7,681,000 | ||||||||||
59 | 46 | Kuala Lumpur | Malaysia | N/A | N/A | N/A | 7,564,000 | ||||||||||
60 | 47 | Xi'an | China | 54.9 | 13 | 88 | 7,444,000 | ||||||||||
61 | 48 | Hong Kong | China | 20.4 | 16 | 95 | 7,429,000 | ||||||||||
62 | 49 | Dongguan | China | 31.7 | 5 | 88 | 7,360,000 | ||||||||||
63 | 50 | Hangzhou | China | 35.7 | 11 | 90 | 7,236,000 | ||||||||||
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