Environment
Mapped: Life Expectancy Gains From Breathing Cleaner Air
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Map of Life Expectancy Gains From Breathing Cleaner Air
The health impact of something as pervasive as air pollution can be hard to communicate due to the complex nature of its effects on humans. This makes it a challenge to convey the full extent of its consequences to the general public.
However, satellite-derived data from from the 2023 Air Quality Life Index (AQLI) shows how exposure to particulate matter in the air can impact average life expectancy of residents in different cities.
Using this data, Aarsh Batra visualizes a map of life expectancy gains (the deeper the hue, the higher the gain) if all people around the world breathed cleaner air.
Top 500 Cities By Life Expectancy Gains From Cleaner Air
Consistent exposure to particulate matter in the air with a width of 2.5 micrometers, or PM2.5, can lead to strokes, heart attacks, and an increased risk of lung disease. The WHO recommended guideline for annual average PM2.5 levels is below 5 micrograms per cubic meter (µg/m³).
If particle pollution levels in 2021 had matched WHO guidelines around the world, life expectancy on average on the planet would have increased by more than 2 years.
In some cities however, gains are much higher, indicating how much worse their air quality was.
Rank | City/District | Country | Population | PM 2.5 Levels (2021) | Life Expectancy Gain (With Cleaner Air) |
---|---|---|---|---|---|
1 | NCT of Delhi | 🇮🇳 India | 18,030,054 | 126.51 | 11.91 |
2 | Gautam Buddha Nagar | 🇮🇳 India | 2,604,177 | 119.99 | 11.27 |
3 | Gurugram | 🇮🇳 India | 1,746,628 | 119.50 | 11.22 |
4 | Faridabad | 🇮🇳 India | 2,443,079 | 115.56 | 10.83 |
5 | Ghaziabad | 🇮🇳 India | 3,882,065 | 113.65 | 10.65 |
6 | Hathras | 🇮🇳 India | 1,698,569 | 109.26 | 10.22 |
7 | Sonipat | 🇮🇳 India | 1,630,727 | 109.28 | 10.22 |
8 | Aligarh | 🇮🇳 India | 4,152,828 | 109.07 | 10.20 |
9 | Mathura | 🇮🇳 India | 2,863,039 | 108.62 | 10.15 |
10 | Palwal | 🇮🇳 India | 869,785 | 108.38 | 10.13 |
11 | Jaunpur | 🇮🇳 India | 5,086,963 | 107.91 | 10.09 |
12 | Azamgarh | 🇮🇳 India | 4,501,783 | 107.43 | 10.04 |
13 | Etah | 🇮🇳 India | 1,979,047 | 107.41 | 10.04 |
14 | Mainpuri | 🇮🇳 India | 2,105,322 | 106.89 | 9.99 |
15 | Jhajjar | 🇮🇳 India | 1,111,303 | 106.20 | 9.92 |
16 | Firozabad | 🇮🇳 India | 3,535,204 | 106.16 | 9.91 |
17 | Unnao | 🇮🇳 India | 3,499,247 | 106.08 | 9.91 |
18 | Mau | 🇮🇳 India | 3,146,042 | 106.05 | 9.90 |
19 | Ghazipur | 🇮🇳 India | 4,052,326 | 105.50 | 9.85 |
20 | Pratapgarh | 🇮🇳 India | 3,615,621 | 105.35 | 9.83 |
21 | Agra | 🇮🇳 India | 4,253,657 | 104.91 | 9.79 |
22 | Ambedkar Nagar | 🇮🇳 India | 2,692,878 | 104.77 | 9.78 |
23 | Lucknow | 🇮🇳 India | 5,155,721 | 104.39 | 9.74 |
24 | Kanpur Nagar | 🇮🇳 India | 5,121,237 | 104.22 | 9.72 |
25 | Baghpat | 🇮🇳 India | 1,456,640 | 104.12 | 9.71 |
26 | Etawah | 🇮🇳 India | 1,758,602 | 103.90 | 9.69 |
27 | Rae Bareli | 🇮🇳 India | 2,764,725 | 103.89 | 9.69 |
28 | Mewat | 🇮🇳 India | 1,209,627 | 103.72 | 9.67 |
29 | Amethi | 🇮🇳 India | 2,859,643 | 102.96 | 9.60 |
30 | Farrukhabad | 🇮🇳 India | 2,113,678 | 102.91 | 9.60 |
31 | Sultanpur | 🇮🇳 India | 2,480,449 | 102.82 | 9.59 |
32 | Rohtak | 🇮🇳 India | 1,181,579 | 102.69 | 9.57 |
33 | Siwan | 🇮🇳 India | 3,820,774 | 102.69 | 9.57 |
34 | Gopalganj | 🇮🇳 India | 3,001,323 | 102.57 | 9.56 |
35 | Kasganj | 🇮🇳 India | 1,576,882 | 102.58 | 9.56 |
36 | Ballia | 🇮🇳 India | 3,651,870 | 102.47 | 9.55 |
37 | Barabanki | 🇮🇳 India | 4,286,133 | 102.10 | 9.52 |
38 | Sant Kabir Nagar | 🇮🇳 India | 1,640,454 | 102.01 | 9.51 |
39 | Gorakhpur | 🇮🇳 India | 4,757,213 | 101.84 | 9.49 |
40 | Kannauj | 🇮🇳 India | 1,862,255 | 101.45 | 9.45 |
41 | Saran | 🇮🇳 India | 4,615,182 | 101.07 | 9.42 |
42 | Varanasi | 🇮🇳 India | 4,052,825 | 100.85 | 9.39 |
43 | Faizabad | 🇮🇳 India | 2,153,545 | 100.47 | 9.36 |
44 | Hardoi | 🇮🇳 India | 4,581,753 | 100.47 | 9.36 |
45 | Basti | 🇮🇳 India | 2,406,653 | 100.32 | 9.34 |
46 | Fatehpur | 🇮🇳 India | 2,968,289 | 100.23 | 9.33 |
47 | Deoria | 🇮🇳 India | 3,490,772 | 100.15 | 9.32 |
48 | Vaishali | 🇮🇳 India | 4,005,909 | 100.05 | 9.31 |
49 | Kaushambi | 🇮🇳 India | 2,990,143 | 99.07 | 9.22 |
50 | Auraiya | 🇮🇳 India | 1,599,592 | 98.90 | 9.20 |
51 | Bhadohi | 🇮🇳 India | 1,751,436 | 98.89 | 9.20 |
52 | Bulandshahr | 🇮🇳 India | 3,895,220 | 98.75 | 9.19 |
53 | Sitapur | 🇮🇳 India | 5,028,006 | 98.72 | 9.18 |
54 | Gonda | 🇮🇳 India | 3,810,975 | 98.48 | 9.16 |
55 | Muzaffarpur | 🇮🇳 India | 5,529,068 | 98.32 | 9.15 |
56 | Kanpur Dehat | 🇮🇳 India | 1,986,566 | 98.00 | 9.11 |
57 | Buxar | 🇮🇳 India | 1,958,634 | 97.57 | 9.07 |
58 | Samastipur | 🇮🇳 India | 4,911,121 | 96.96 | 9.01 |
59 | Bhind | 🇮🇳 India | 1,916,992 | 95.99 | 8.92 |
60 | Panipat | 🇮🇳 India | 1,349,731 | 95.80 | 8.90 |
61 | Hapur | 🇮🇳 India | 1,480,746 | 95.54 | 8.87 |
62 | Bharatpur | 🇮🇳 India | 2,882,439 | 95.17 | 8.84 |
63 | Kushinagar | 🇮🇳 India | 3,981,771 | 94.87 | 8.81 |
64 | Prayagraj | 🇮🇳 India | 5,415,602 | 94.77 | 8.80 |
65 | Purba Champaran | 🇮🇳 India | 5,844,764 | 94.83 | 8.80 |
66 | Rewari | 🇮🇳 India | 896,708 | 94.54 | 8.77 |
67 | Budaun | 🇮🇳 India | 3,474,058 | 94.07 | 8.73 |
68 | Sheohar | 🇮🇳 India | 1,283,274 | 94.07 | 8.73 |
69 | Shahjahanpur | 🇮🇳 India | 3,370,212 | 93.99 | 8.72 |
70 | Bhojpur | 🇮🇳 India | 3,180,135 | 93.86 | 8.71 |
71 | Patna | 🇮🇳 India | 6,718,984 | 93.36 | 8.66 |
72 | Dhaulpur | 🇮🇳 India | 1,358,477 | 92.50 | 8.57 |
73 | Sitamarhi | 🇮🇳 India | 3,423,369 | 91.68 | 8.49 |
74 | Chandauli | 🇮🇳 India | 2,257,550 | 91.41 | 8.47 |
75 | Darbhanga | 🇮🇳 India | 4,595,227 | 91.10 | 8.44 |
76 | Begusarai | 🇮🇳 India | 3,464,719 | 90.51 | 8.38 |
77 | Morena | 🇮🇳 India | 2,195,456 | 90.23 | 8.35 |
78 | Gazipur | 🇧🇩 Bangladesh | 3,989,975 | 89.85 | 8.31 |
79 | Jind | 🇮🇳 India | 1,519,442 | 89.28 | 8.26 |
80 | Meerut | 🇮🇳 India | 3,847,662 | 88.82 | 8.21 |
81 | Noakhali | 🇧🇩 Bangladesh | 3,540,247 | 88.74 | 8.21 |
82 | Feni | 🇧🇩 Bangladesh | 1,630,831 | 88.65 | 8.20 |
83 | Comilla | 🇧🇩 Bangladesh | 6,124,075 | 88.21 | 8.16 |
84 | Narsingdi | 🇧🇩 Bangladesh | 2,547,066 | 88.25 | 8.16 |
85 | Khagaria | 🇮🇳 India | 1,922,426 | 87.87 | 8.12 |
86 | Chandpur | 🇧🇩 Bangladesh | 2,731,438 | 87.79 | 8.11 |
87 | Lakshmipur | 🇧🇩 Bangladesh | 1,986,786 | 87.59 | 8.09 |
88 | Sambhal | 🇮🇳 India | 2,372,466 | 87.44 | 8.08 |
89 | Jalaun | 🇮🇳 India | 1,896,350 | 87.34 | 8.07 |
90 | Dhaka | 🇧🇩 Bangladesh | 13,791,222 | 87.23 | 8.06 |
91 | Munshiganj | 🇧🇩 Bangladesh | 1,634,793 | 87.24 | 8.06 |
92 | Arwal | 🇮🇳 India | 821,007 | 86.95 | 8.03 |
93 | Narayanganj | 🇧🇩 Bangladesh | 3,159,730 | 86.90 | 8.03 |
94 | Nalanda | 🇮🇳 India | 3,327,893 | 86.68 | 8.00 |
95 | Siddharth Nagar | 🇮🇳 India | 3,485,912 | 86.66 | 8.00 |
96 | Jehanabad | 🇮🇳 India | 1,297,183 | 86.39 | 7.98 |
97 | Raipur | 🇮🇳 India | 2,575,952 | 86.26 | 7.96 |
98 | Bahraich | 🇮🇳 India | 2,839,622 | 86.08 | 7.95 |
99 | Pashchim Champaran | 🇮🇳 India | 4,549,547 | 85.47 | 7.89 |
100 | Saharsa | 🇮🇳 India | 2,186,832 | 85.46 | 7.88 |
101 | Maharajganj | 🇮🇳 India | 3,255,113 | 85.07 | 7.85 |
102 | Charkhi Dadri | 🇧🇩 Bangladesh | 541,560 | 84.70 | 7.81 |
103 | Manikganj | 🇮🇳 India | 1,571,422 | 84.74 | 7.81 |
104 | Durg | 🇮🇳 India | 2,265,907 | 84.08 | 7.75 |
105 | Hisar | 🇮🇳 India | 1,938,571 | 83.57 | 7.70 |
106 | Lakhimpur Kheri | 🇮🇳 India | 4,506,473 | 83.57 | 7.70 |
107 | Shamli | 🇧🇩 Bangladesh | 1,332,901 | 83.12 | 7.66 |
108 | Brahamanbaria | 🇮🇳 India | 3,252,020 | 83.06 | 7.65 |
109 | Alwar | 🇮🇳 India | 4,163,936 | 82.97 | 7.64 |
110 | Banda | 🇮🇳 India | 2,004,848 | 82.63 | 7.61 |
111 | Tarn Taran | 🇮🇳 India | 1,162,164 | 82.54 | 7.60 |
112 | Hamirpur | 🇮🇳 India | 1,239,827 | 82.30 | 7.58 |
113 | Madhubani | 🇮🇳 India | 5,166,527 | 82.30 | 7.58 |
114 | Shravasti | 🇧🇩 Bangladesh | 2,313,893 | 82.35 | 7.58 |
115 | Shariatpur | 🇮🇳 India | 1,330,690 | 82.18 | 7.56 |
116 | Sheikhpura | 🇧🇩 Bangladesh | 724,935 | 82.16 | 7.56 |
117 | Kishoreganj | 🇵🇰 Pakistan | 3,328,837 | 81.99 | 7.55 |
118 | Lahore | 🇳🇵 Nepal | 9,317,108 | 81.81 | 7.53 |
119 | Mahottari | 🇮🇳 India | 735,769 | 81.69 | 7.52 |
120 | Mansa | 🇮🇳 India | 854,726 | 81.71 | 7.52 |
121 | Fatehabad | 🇮🇳 India | 1,052,288 | 81.65 | 7.51 |
122 | Bhiwani | 🇧🇩 Bangladesh | 1,281,849 | 81.25 | 7.47 |
123 | Tangail | 🇮🇳 India | 4,122,304 | 80.97 | 7.45 |
124 | Karnal | 🇳🇵 Nepal | 1,665,277 | 80.89 | 7.44 |
125 | Rautahat | 🇮🇳 India | 791,972 | 80.77 | 7.43 |
126 | Madhepura | 🇮🇳 India | 2,322,286 | 80.65 | 7.41 |
127 | Bathinda | 🇮🇳 India | 1,524,742 | 80.40 | 7.39 |
128 | Puruliya | 🇮🇳 India | 3,178,490 | 80.27 | 7.38 |
129 | Kaithal | 🇳🇵 Nepal | 1,233,024 | 80.20 | 7.37 |
130 | Dhanusha | 🇮🇳 India | 874,036 | 80.00 | 7.35 |
131 | Balrampur | 🇮🇳 India | 2,412,972 | 79.78 | 7.33 |
132 | Bareilly | 🇧🇩 Bangladesh | 4,971,744 | 79.17 | 7.27 |
133 | Madaripur | 🇳🇵 Nepal | 1,320,624 | 79.04 | 7.26 |
134 | Bara | 🇮🇳 India | 800,202 | 78.74 | 7.23 |
135 | Amritsar | 🇧🇩 Bangladesh | 2,636,765 | 78.62 | 7.22 |
136 | Gopalganj | 🇧🇩 Bangladesh | 1,342,230 | 78.64 | 7.22 |
137 | Barisal | 🇮🇳 India | 2,621,581 | 78.55 | 7.21 |
138 | Lakhisarai | 🇮🇳 India | 1,200,365 | 78.33 | 7.19 |
139 | Dhanbad | 🇮🇳 India | 3,031,911 | 78.24 | 7.18 |
140 | Katihar | 🇳🇵 Nepal | 3,543,450 | 78.31 | 7.18 |
141 | Parsa | 🇮🇳 India | 694,050 | 78.12 | 7.17 |
142 | Mahendragarh | 🇳🇵 Nepal | 1,045,728 | 78.10 | 7.16 |
143 | Sarlahi | 🇮🇳 India | 888,611 | 78.04 | 7.16 |
144 | Rohtas | 🇮🇳 India | 3,449,308 | 77.96 | 7.15 |
145 | Sepahijala | 🇮🇳 India | 404,754 | 77.84 | 7.14 |
146 | Bhagalpur | 🇮🇳 India | 3,540,537 | 77.72 | 7.13 |
147 | Kaimur | 🇮🇳 India | 1,869,285 | 77.77 | 7.13 |
148 | Munger | 🇮🇳 India | 1,521,105 | 77.80 | 7.13 |
149 | Chitrakoot | 🇮🇳 India | 1,110,002 | 77.42 | 7.10 |
150 | Faridkot | 🇮🇳 India | 658,814 | 77.47 | 7.10 |
151 | Faridpur | 🇧🇩 Bangladesh | 2,181,053 | 77.42 | 7.10 |
152 | South Tripura | 🇮🇳 India | 375,754 | 77.25 | 7.08 |
153 | Gwalior | 🇮🇳 India | 2,149,777 | 77.11 | 7.07 |
154 | Mirzapur | 🇮🇳 India | 2,835,466 | 77.17 | 7.07 |
155 | Sri Muktsar Sahib | 🇮🇳 India | 943,831 | 77.19 | 7.07 |
156 | Sirsa | 🇮🇳 India | 1,448,417 | 77.03 | 7.06 |
157 | Bhola | 🇧🇩 Bangladesh | 2,007,259 | 76.90 | 7.05 |
158 | Bankura | 🇮🇳 India | 3,867,370 | 76.88 | 7.04 |
159 | Bokaro | 🇮🇳 India | 2,395,637 | 76.78 | 7.03 |
160 | Sangrur | 🇮🇳 India | 1,759,762 | 76.49 | 7.01 |
161 | Magura | 🇧🇩 Bangladesh | 1,054,682 | 76.07 | 6.97 |
162 | Bemetara | 🇮🇳 India | 836,256 | 76.05 | 6.96 |
163 | Sirajganj | 🇧🇩 Bangladesh | 3,519,019 | 76.01 | 6.96 |
164 | Barnala | 🇮🇳 India | 632,391 | 75.77 | 6.94 |
165 | Rajbari | 🇧🇩 Bangladesh | 1,200,635 | 75.79 | 6.94 |
166 | Moga | 🇮🇳 India | 1,066,611 | 75.71 | 6.93 |
167 | Chittagong | 🇧🇩 Bangladesh | 8,657,012 | 75.54 | 6.91 |
168 | Purnia | 🇮🇳 India | 3,765,574 | 75.28 | 6.89 |
169 | Narail | 🇧🇩 Bangladesh | 832,039 | 75.08 | 6.87 |
170 | Firozpur | 🇮🇳 India | 1,111,585 | 74.70 | 6.83 |
171 | Nawada | 🇮🇳 India | 2,589,681 | 74.74 | 6.83 |
172 | Baloda Bazar | 🇮🇳 India | 1,451,746 | 74.54 | 6.81 |
173 | Ludhiana | 🇮🇳 India | 3,748,900 | 74.41 | 6.80 |
174 | Supaul | 🇮🇳 India | 2,580,752 | 74.22 | 6.78 |
175 | Muzaffarnagar | 🇮🇳 India | 3,303,410 | 74.04 | 6.77 |
176 | Purbi Singhbhum | 🇳🇵 Nepal | 2,635,476 | 74.13 | 6.77 |
177 | Siraha | 🇮🇳 India | 739,781 | 73.54 | 6.72 |
178 | West Tripura | 🇮🇳 India | 999,367 | 73.58 | 6.72 |
179 | Aurangabad | 🇧🇩 Bangladesh | 2,918,688 | 73.47 | 6.71 |
180 | Mymensingh | 🇮🇳 India | 5,815,595 | 73.52 | 6.71 |
181 | Barddhaman | 🇮🇳 India | 8,343,103 | 73.23 | 6.69 |
182 | Datia | 🇧🇩 Bangladesh | 991,340 | 73.29 | 6.69 |
183 | Bagerhat | 🇮🇳 India | 1,670,296 | 73.15 | 6.68 |
184 | Kapurthala | 🇧🇩 Bangladesh | 860,156 | 73.03 | 6.67 |
185 | Khulna | 🇮🇳 India | 2,636,746 | 72.92 | 6.66 |
186 | Amroha | 🇮🇳 India | 2,354,366 | 72.90 | 6.65 |
187 | Hooghly | 🇧🇩 Bangladesh | 5,980,019 | 72.83 | 6.65 |
188 | Jhenaidah | 🇧🇩 Bangladesh | 1,997,294 | 72.64 | 6.63 |
189 | Pabna | 🇮🇳 India | 2,879,661 | 72.45 | 6.61 |
190 | Maldah | 🇵🇰 Pakistan | 4,321,272 | 72.25 | 6.59 |
191 | Sheikhupura | 🇮🇳 India | 2,953,596 | 72.23 | 6.59 |
192 | Ramgarh | 🇮🇳 India | 1,068,341 | 72.12 | 6.58 |
193 | Janjgir-Champa | 🇮🇳 India | 1,857,077 | 71.79 | 6.55 |
194 | Saraikela-kharsawan | 🇮🇳 India | 1,182,937 | 71.73 | 6.54 |
195 | Kurukshetra | 🇮🇳 India | 1,287,013 | 71.42 | 6.51 |
196 | Gaya | 🇧🇩 Bangladesh | 5,063,630 | 71.37 | 6.50 |
197 | Jhalokati | 🇧🇩 Bangladesh | 770,500 | 71.22 | 6.49 |
198 | Habiganj | 🇧🇩 Bangladesh | 2,373,769 | 71.16 | 6.48 |
199 | Chuadanga | 🇮🇳 India | 1,308,928 | 70.79 | 6.45 |
200 | Jalandhar | 🇵🇰 Pakistan | 2,364,897 | 70.75 | 6.44 |
201 | Kasur | 🇧🇩 Bangladesh | 3,295,626 | 70.45 | 6.41 |
202 | Kushtia | 🇧🇩 Bangladesh | 2,188,126 | 70.42 | 6.41 |
203 | Jessore | 🇧🇩 Bangladesh | 3,143,329 | 70.16 | 6.39 |
204 | Pirojpur | 🇧🇩 Bangladesh | 1,273,248 | 70.20 | 6.39 |
205 | Natore | 🇧🇩 Bangladesh | 1,922,037 | 69.79 | 6.35 |
206 | Naogaon | 🇮🇳 India | 2,970,897 | 69.70 | 6.34 |
207 | Gomati | 🇮🇳 India | 583,499 | 69.59 | 6.33 |
208 | Mungeli | 🇧🇩 Bangladesh | 823,853 | 69.62 | 6.33 |
209 | Meherpur | 🇮🇳 India | 745,202 | 69.31 | 6.30 |
210 | Mahoba | 🇧🇩 Bangladesh | 971,958 | 69.20 | 6.29 |
211 | Bogra | 🇳🇵 Nepal | 3,873,077 | 69.13 | 6.28 |
212 | Nawalparasi West | 🇮🇳 India | 383,219 | 69.13 | 6.28 |
213 | Dakshin Dinajpur | 🇮🇳 India | 1,753,778 | 68.84 | 6.26 |
214 | Karauli | 🇧🇩 Bangladesh | 1,697,579 | 68.75 | 6.25 |
215 | Patuakhali | 🇳🇵 Nepal | 1,741,154 | 68.66 | 6.24 |
216 | Rupandehi | 🇮🇳 India | 1,011,004 | 68.43 | 6.22 |
217 | Dausa | 🇮🇳 India | 1,883,851 | 68.25 | 6.20 |
218 | Jamtara | 🇮🇳 India | 888,658 | 68.19 | 6.19 |
219 | Banka | 🇳🇵 Nepal | 2,351,874 | 67.93 | 6.17 |
220 | Saptari | 🇮🇳 India | 740,836 | 67.98 | 6.17 |
221 | Pashchimi Singhbhum | 🇧🇩 Bangladesh | 1,700,885 | 67.86 | 6.16 |
222 | Jamalpur | 🇮🇳 India | 2,630,068 | 67.73 | 6.15 |
223 | Jamui | 🇧🇩 Bangladesh | 2,054,451 | 67.77 | 6.15 |
224 | Joypurhat | 🇮🇳 India | 1,036,252 | 67.60 | 6.14 |
225 | Mahasamund | 🇳🇵 Nepal | 1,191,325 | 67.61 | 6.14 |
226 | Kapilbastu | 🇧🇩 Bangladesh | 659,389 | 67.59 | 6.13 |
227 | Rajshahi | 🇮🇳 India | 2,973,646 | 67.52 | 6.13 |
228 | Araria | 🇮🇳 India | 3,280,698 | 67.22 | 6.10 |
229 | Nadia | 🇮🇳 India | 5,654,066 | 67.21 | 6.10 |
230 | Godda | 🇮🇳 India | 1,490,512 | 67.00 | 6.08 |
231 | Pilibhit | 🇮🇳 India | 2,311,365 | 67.05 | 6.08 |
232 | Dhamtari | 🇮🇳 India | 917,922 | 66.97 | 6.07 |
233 | Hanumangarh | 🇮🇳 India | 1,815,270 | 66.93 | 6.07 |
234 | Saharanpur | 🇮🇳 India | 3,818,439 | 66.93 | 6.07 |
235 | Rajnandgaon | 🇧🇩 Bangladesh | 1,735,370 | 66.84 | 6.06 |
236 | Satkhira | 🇧🇩 Bangladesh | 2,258,751 | 66.79 | 6.06 |
237 | Khagrachhari | 🇮🇳 India | 678,444 | 66.58 | 6.03 |
238 | Bilaspur | 🇮🇳 India | 2,211,061 | 66.43 | 6.02 |
239 | Fazilka | 🇮🇳 India | 1,063,160 | 66.42 | 6.02 |
240 | Jhansi | 🇮🇳 India | 2,259,633 | 66.31 | 6.01 |
241 | Nawabganj | 🇧🇩 Bangladesh | 1,868,195 | 66.20 | 6.00 |
242 | Sahibganj | 🇮🇳 India | 1,331,999 | 66.05 | 5.98 |
243 | Moradabad | 🇮🇳 India | 3,267,062 | 65.71 | 5.95 |
244 | Patiala | 🇮🇳 India | 2,045,209 | 65.65 | 5.94 |
245 | Fatehgarh Sahib | 🇮🇳 India | 656,825 | 65.55 | 5.93 |
246 | Birbhum | 🇮🇳 India | 3,777,754 | 65.15 | 5.89 |
247 | Balod | 🇮🇳 India | 712,346 | 64.96 | 5.88 |
248 | Peshawar | 🇵🇰 Pakistan | 4,795,827 | 64.76 | 5.86 |
249 | Gaibandha | 🇧🇩 Bangladesh | 2,706,023 | 64.60 | 5.84 |
250 | Gurdaspur | 🇮🇳 India | 1,912,105 | 64.44 | 5.83 |
251 | Pashchim Medinipur | 🇮🇳 India | 6,372,521 | 64.34 | 5.82 |
252 | Rampur | 🇮🇳 India | 2,661,235 | 64.36 | 5.82 |
253 | Bargarh | 🇮🇳 India | 1,597,870 | 64.26 | 5.81 |
254 | Uttar Dinajpur | 🇮🇳 India | 3,367,379 | 64.33 | 5.81 |
255 | Rewa | 🇮🇳 India | 2,669,379 | 64.23 | 5.80 |
256 | Dinajpur | 🇧🇩 Bangladesh | 3,416,688 | 63.98 | 5.78 |
257 | Kabirdham | 🇮🇳 India | 907,766 | 63.87 | 5.77 |
258 | Murshidabad | 🇮🇳 India | 7,711,949 | 63.89 | 5.77 |
259 | Sawai Madhopur | 🇮🇳 India | 1,423,001 | 63.73 | 5.76 |
260 | Khowai | 🇮🇳 India | 477,965 | 63.71 | 5.75 |
261 | Sherpur | 🇧🇩 Bangladesh | 1,541,333 | 63.66 | 5.75 |
262 | Nankana Sahib | 🇵🇰 Pakistan | 1,267,144 | 63.35 | 5.72 |
263 | Barguna | 🇧🇩 Bangladesh | 995,933 | 63.20 | 5.70 |
264 | Khunti | 🇮🇳 India | 615,993 | 63.16 | 5.70 |
265 | Cox'S Bazar | 🇧🇩 Bangladesh | 3,452,970 | 62.69 | 5.65 |
266 | Yamunanagar | 🇮🇳 India | 1,081,123 | 62.70 | 5.65 |
267 | Gujranwala | 🇵🇰 Pakistan | 4,481,732 | 62.45 | 5.63 |
268 | Rangamati | 🇧🇩 Bangladesh | 687,439 | 62.20 | 5.61 |
269 | Ulan Bator | 🇲🇳 Mongolia | 1,477,064 | 62.29 | 5.61 |
270 | Giridih | 🇮🇳 India | 2,759,940 | 62.12 | 5.60 |
271 | Netrakona | 🇧🇩 Bangladesh | 2,537,434 | 62.19 | 5.60 |
272 | North 24 Parganas | 🇮🇳 India | 11,094,091 | 62.17 | 5.60 |
273 | Ranchi | 🇮🇳 India | 3,274,251 | 62.00 | 5.59 |
274 | Banke | 🇳🇵 Nepal | 565,005 | 61.80 | 5.57 |
275 | Pakur | 🇮🇳 India | 997,908 | 61.77 | 5.56 |
276 | Jharsuguda | 🇮🇳 India | 625,924 | 61.60 | 5.55 |
277 | Jhunjhunu | 🇮🇳 India | 2,388,813 | 61.55 | 5.54 |
278 | Howrah | 🇮🇳 India | 5,178,193 | 61.36 | 5.52 |
279 | Morang | 🇳🇵 Nepal | 1,122,303 | 61.32 | 5.52 |
280 | Sunsari | 🇳🇵 Nepal | 857,275 | 61.36 | 5.52 |
281 | Phuentsholing | 🇧🇹 Bhutan | 29,158 | 60.85 | 5.47 |
282 | Raigarh | 🇮🇳 India | 1,710,339 | 60.77 | 5.47 |
283 | Shahid Bhagat Singh Nagar | 🇮🇳 India | 681,192 | 60.79 | 5.47 |
284 | Deoghar | 🇮🇳 India | 1,692,622 | 60.48 | 5.44 |
285 | Purba Medinipur | 🇮🇳 India | 5,537,027 | 60.48 | 5.44 |
286 | Kishanganj | 🇮🇳 India | 1,986,137 | 60.32 | 5.42 |
287 | Bardiya | 🇳🇵 Nepal | 492,390 | 60.17 | 5.41 |
288 | Hauts Plateaux | 🇨🇲 Cameroon | 116,568 | 60.06 | 5.40 |
289 | Jaipur | 🇮🇳 India | 7,480,292 | 60.15 | 5.40 |
290 | Kodarma | 🇮🇳 India | 479,641 | 59.76 | 5.37 |
291 | Nowshera | 🇵🇰 Pakistan | 1,817,314 | 59.67 | 5.36 |
292 | Satna | 🇮🇳 India | 2,488,784 | 59.73 | 5.36 |
293 | Sialkot | 🇵🇰 Pakistan | 3,559,383 | 59.59 | 5.35 |
294 | Thakurgaon | 🇧🇩 Bangladesh | 1,586,640 | 59.53 | 5.34 |
295 | Hazaribagh | 🇮🇳 India | 2,325,639 | 59.36 | 5.33 |
296 | South 24 Parganas | 🇮🇳 India | 8,750,991 | 59.26 | 5.32 |
297 | Rangpur | 🇧🇩 Bangladesh | 3,320,617 | 59.17 | 5.31 |
298 | Kolkata | 🇮🇳 India | 4,508,259 | 58.89 | 5.28 |
299 | Mayurbhanj | 🇮🇳 India | 2,723,504 | 58.86 | 5.28 |
300 | Jhapa | 🇳🇵 Nepal | 933,761 | 58.74 | 5.27 |
301 | Narowal | 🇵🇰 Pakistan | 1,743,880 | 58.69 | 5.26 |
302 | Sambalpur | 🇮🇳 India | 1,129,855 | 58.69 | 5.26 |
303 | Koung Khi | 🇨🇲 Cameroon | 95,973 | 58.60 | 5.25 |
304 | Yoeseltse | 🇧🇹 Bhutan | 2,335 | 58.60 | 5.25 |
305 | Charsadda | 🇵🇰 Pakistan | 1,914,699 | 58.51 | 5.24 |
306 | Dhalai | 🇮🇳 India | 415,644 | 58.48 | 5.24 |
307 | Hardwar | 🇮🇳 India | 2,152,031 | 58.44 | 5.24 |
308 | Ambala | 🇮🇳 India | 1,356,523 | 58.22 | 5.22 |
309 | Dumka | 🇮🇳 India | 1,526,726 | 58.30 | 5.22 |
310 | Menoua | 🇨🇲 Cameroon | 410,985 | 58.26 | 5.22 |
311 | Bandarban | 🇧🇩 Bangladesh | 468,571 | 58.21 | 5.21 |
312 | Sundargarh | 🇮🇳 India | 2,264,207 | 58.14 | 5.21 |
313 | Maulvibazar | 🇧🇩 Bangladesh | 2,169,514 | 57.80 | 5.17 |
314 | Tonk | 🇮🇳 India | 1,609,971 | 57.63 | 5.16 |
315 | Ugentse | 🇧🇹 Bhutan | 1,604 | 57.58 | 5.15 |
316 | Kendujhar | 🇮🇳 India | 1,943,855 | 57.40 | 5.14 |
317 | Jalpaiguri | 🇮🇳 India | 2,858,453 | 57.37 | 5.13 |
318 | Bhandara | 🇮🇳 India | 1,561,052 | 57.04 | 5.10 |
319 | Chhatarpur | 🇮🇳 India | 1,989,140 | 57.00 | 5.10 |
320 | Bundi | 🇮🇳 India | 1,198,331 | 56.81 | 5.08 |
321 | Swabi | 🇮🇳 India | 1,586,444 | 56.79 | 5.08 |
322 | Mardan | 🇵🇰 Pakistan | 2,414,561 | 56.28 | 5.03 |
323 | Norbugang | 🇧🇹 Bhutan | 5,064 | 56.37 | 5.03 |
324 | Samtse | 🇧🇹 Bhutan | 10,802 | 56.31 | 5.03 |
325 | Simdega | 🇮🇳 India | 682,501 | 56.25 | 5.02 |
326 | Alipurduar | 🇮🇳 India | 1,368,534 | 55.88 | 4.99 |
327 | Nawalparasi East | 🇳🇵 Nepal | 358,958 | 55.95 | 4.99 |
328 | Nilphamari | 🇧🇩 Bangladesh | 2,023,687 | 55.96 | 4.99 |
329 | Bijnor | 🇮🇳 India | 4,095,135 | 55.83 | 4.98 |
330 | Gondiya | 🇮🇳 India | 1,199,307 | 55.77 | 4.98 |
331 | Tikamgarh | 🇮🇳 India | 1,639,570 | 55.86 | 4.98 |
332 | Tashicholing | 🇧🇹 Bhutan | 3,976 | 55.72 | 4.97 |
333 | Unokoti | 🇮🇳 India | 472,728 | 55.67 | 4.97 |
334 | Subarnapur | 🇮🇳 India | 662,158 | 55.61 | 4.96 |
335 | Korba | 🇮🇳 India | 1,381,578 | 55.51 | 4.95 |
336 | Sangngagchhoeling | 🇧🇹 Bhutan | 4,254 | 55.52 | 4.95 |
337 | Balangir | 🇮🇳 India | 1,784,135 | 55.44 | 4.94 |
338 | Chitawan | 🇳🇵 Nepal | 660,759 | 55.39 | 4.94 |
339 | Sheopur | 🇮🇳 India | 782,116 | 55.16 | 4.92 |
340 | Bamboutos | 🇨🇲 Cameroon | 419,785 | 55.08 | 4.91 |
341 | Mifi | 🇨🇲 Cameroon | 430,147 | 55.07 | 4.91 |
342 | Chatra | 🇮🇳 India | 1,170,688 | 55.00 | 4.90 |
343 | Okara | 🇵🇰 Pakistan | 2,909,813 | 55.00 | 4.90 |
344 | Sittwe | 🇲🇲 Myanmar | 655,680 | 55.02 | 4.90 |
345 | Kailali | 🇳🇵 Nepal | 892,709 | 54.93 | 4.89 |
346 | Hafizabad | 🇵🇰 Pakistan | 1,276,369 | 54.77 | 4.88 |
347 | Phuentshogpelri | 🇧🇹 Bhutan | 8,932 | 54.83 | 4.88 |
348 | South West Garo Hills | 🇮🇳 India | 188,946 | 54.73 | 4.87 |
349 | Sikar | 🇮🇳 India | 3,012,667 | 54.62 | 4.86 |
350 | Kurigram | 🇧🇩 Bangladesh | 2,357,408 | 54.50 | 4.85 |
351 | Udayapur | 🇳🇵 Nepal | 365,638 | 54.37 | 4.84 |
352 | Kota | 🇮🇳 India | 2,248,274 | 54.15 | 4.82 |
353 | Samphelling | 🇧🇹 Bhutan | 7,819 | 54.09 | 4.81 |
354 | Sunamganj | 🇧🇩 Bangladesh | 2,798,538 | 53.92 | 4.79 |
355 | Hoshiarpur | 🇮🇳 India | 1,737,017 | 53.80 | 4.78 |
356 | Ganganagar | 🇮🇳 India | 2,389,908 | 53.72 | 4.77 |
357 | Nagpur | 🇮🇳 India | 5,094,050 | 53.66 | 4.77 |
358 | Jabalpur | 🇮🇳 India | 2,427,332 | 53.45 | 4.75 |
359 | Maungdaw | 🇲🇲 Myanmar | 116,245 | 53.38 | 4.74 |
360 | Nuapada | 🇮🇳 India | 642,845 | 53.16 | 4.72 |
361 | Panchagarh | 🇧🇩 Bangladesh | 1,164,095 | 53.12 | 4.72 |
362 | Shompangkha | 🇧🇹 Bhutan | 2,067 | 53.18 | 4.72 |
363 | Gariaband | 🇮🇳 India | 596,091 | 52.98 | 4.70 |
364 | Palamu | 🇮🇳 India | 2,201,776 | 52.97 | 4.70 |
365 | Sahibzada Ajit Singh Nagar | 🇮🇳 India | 1,024,166 | 52.80 | 4.68 |
366 | Kanchanpur | 🇳🇵 Nepal | 522,868 | 52.69 | 4.67 |
367 | Pakpattan | 🇵🇰 Pakistan | 1,976,068 | 52.62 | 4.67 |
368 | Sergelen | 🇲🇳 Mongolia | 19,790 | 52.67 | 4.67 |
369 | Akola | 🇮🇳 India | 2,021,846 | 52.52 | 4.66 |
370 | Churu | 🇮🇳 India | 2,633,046 | 52.55 | 4.66 |
371 | Deogarh | 🇮🇳 India | 339,476 | 52.50 | 4.66 |
372 | Sidhi | 🇮🇳 India | 1,267,065 | 52.59 | 4.66 |
373 | Lalitpur | 🇮🇳 India | 1,354,546 | 52.28 | 4.63 |
374 | Mezam | 🇨🇲 Cameroon | 766,082 | 52.24 | 4.63 |
375 | Lalmonirhat | 🇧🇩 Bangladesh | 1,441,377 | 51.93 | 4.60 |
376 | Balaghat | 🇮🇳 India | 1,908,869 | 51.73 | 4.58 |
377 | Gumla | 🇮🇳 India | 1,164,751 | 51.69 | 4.58 |
378 | Nichula | 🇧🇹 Bhutan | 801 | 51.78 | 4.58 |
379 | Jalgaon | 🇮🇳 India | 4,619,083 | 51.59 | 4.57 |
380 | Lohardaga | 🇮🇳 India | 522,373 | 51.65 | 4.57 |
381 | Dhenkanal | 🇮🇳 India | 1,289,362 | 51.41 | 4.55 |
382 | Lhamoi Zingkha | 🇧🇹 Bhutan | 3,744 | 51.46 | 4.55 |
383 | Senggey | 🇧🇹 Bhutan | 3,904 | 51.44 | 4.55 |
384 | Katni | 🇮🇳 India | 1,790,495 | 51.36 | 4.54 |
385 | Anugul | 🇮🇳 India | 1,372,767 | 51.25 | 4.53 |
386 | Panna | 🇮🇳 India | 1,146,621 | 51.27 | 4.53 |
387 | Baleshwar | 🇮🇳 India | 2,484,448 | 51.08 | 4.52 |
388 | Baran | 🇮🇳 India | 1,401,375 | 51.16 | 4.52 |
389 | Mandi Bahauddin | 🇵🇰 Pakistan | 2,086,078 | 51.12 | 4.52 |
390 | Ndé | 🇨🇲 Cameroon | 135,543 | 51.10 | 4.52 |
391 | Islamabad | 🇵🇰 Pakistan | 2,930,804 | 50.97 | 4.51 |
392 | North Tripura | 🇮🇳 India | 289,307 | 50.93 | 4.50 |
393 | Darjeeling | 🇮🇳 India | 1,920,808 | 50.79 | 4.49 |
394 | Momo | 🇨🇲 Cameroon | 204,616 | 50.79 | 4.49 |
395 | Haut Nkam | 🇨🇲 Cameroon | 207,959 | 50.70 | 4.48 |
396 | Damoh | 🇮🇳 India | 1,434,975 | 50.57 | 4.47 |
397 | Buldhana | 🇮🇳 India | 2,788,165 | 50.46 | 4.46 |
398 | Lawangtlai | 🇮🇳 India | 131,595 | 50.52 | 4.46 |
399 | Narsimhapur | 🇮🇳 India | 1,236,623 | 50.52 | 4.46 |
400 | Uttar Bastar Kanker | 🇮🇳 India | 865,701 | 50.50 | 4.46 |
401 | Mixco | 🇬🇹 Guatemala | 545,151 | 50.29 | 4.44 |
402 | Pemaling | 🇧🇹 Bhutan | 3,741 | 50.31 | 4.44 |
403 | Rahim Yar Khan | 🇵🇰 Pakistan | 5,044,208 | 50.32 | 4.44 |
404 | Sonbhadra | 🇮🇳 India | 2,086,251 | 50.17 | 4.43 |
405 | Magdalena Milpas Altas | 🇬🇹 Guatemala | 16,259 | 50.13 | 4.42 |
406 | Burhanpur | 🇮🇳 India | 847,005 | 50.02 | 4.41 |
407 | San Lucas Sacatepéquez | 🇬🇹 Guatemala | 34,603 | 49.99 | 4.41 |
408 | Sindhuli | 🇳🇵 Nepal | 339,642 | 50.01 | 4.41 |
409 | Wardha | 🇮🇳 India | 1,436,022 | 50.03 | 4.41 |
410 | Latehar | 🇮🇳 India | 832,653 | 49.88 | 4.40 |
411 | Nagaur | 🇮🇳 India | 3,740,764 | 49.92 | 4.40 |
412 | Amravati | 🇮🇳 India | 3,137,975 | 49.79 | 4.39 |
413 | Santa María de Jesús | 🇬🇹 Guatemala | 25,059 | 49.77 | 4.39 |
414 | Tando Allahyar | 🇵🇰 Pakistan | 664,646 | 49.76 | 4.39 |
415 | Garhwa | 🇮🇳 India | 1,501,173 | 49.66 | 4.38 |
416 | Mangai | 🇨🇩 DRC | 7,806 | 49.72 | 4.38 |
417 | Shivpuri | 🇮🇳 India | 1,929,599 | 49.67 | 4.38 |
418 | Bhadrak | 🇮🇳 India | 1,638,192 | 49.56 | 4.37 |
419 | Bui | 🇨🇲 Cameroon | 470,134 | 49.54 | 4.37 |
420 | Udham Singh Nagar | 🇮🇳 India | 1,919,016 | 49.56 | 4.37 |
421 | Vidisha | 🇮🇳 India | 1,636,489 | 49.64 | 4.37 |
422 | Matiari | 🇵🇰 Pakistan | 508,161 | 49.48 | 4.36 |
423 | Bhopal | 🇮🇳 India | 2,656,340 | 49.42 | 4.35 |
424 | East Nimar | 🇮🇳 India | 1,468,738 | 49.44 | 4.35 |
425 | Khargone | 🇮🇳 India | 2,101,956 | 49.36 | 4.35 |
426 | Hoshangabad | 🇮🇳 India | 1,410,240 | 49.29 | 4.34 |
427 | Mandsaur | 🇮🇳 India | 1,492,717 | 49.28 | 4.34 |
428 | Mrauk-U | 🇲🇲 Myanmar | 823,866 | 49.30 | 4.34 |
429 | Raisen | 🇮🇳 India | 1,508,510 | 49.17 | 4.33 |
430 | Sagar | 🇮🇳 India | 2,673,555 | 49.19 | 4.33 |
431 | Rawalpindi | 🇵🇰 Pakistan | 5,905,278 | 49.10 | 4.32 |
432 | Santa Catarina Pinula | 🇬🇹 Guatemala | 70,527 | 48.97 | 4.31 |
433 | Shijiazhuang | 🇨🇳 China | 10,674,480 | 49.00 | 4.31 |
434 | Zone 19, Guatemala City | 🇬🇹 Guatemala | 11,669 | 48.99 | 4.31 |
435 | Ghotki | 🇵🇰 Pakistan | 1,479,552 | 48.91 | 4.30 |
436 | Jajapur | 🇮🇳 India | 1,964,648 | 48.86 | 4.30 |
437 | Ahmadabad | 🇮🇳 India | 8,114,639 | 48.80 | 4.29 |
438 | Jhalawar | 🇮🇳 India | 1,620,719 | 48.78 | 4.29 |
439 | Santiago Sacatepéquez | 🇬🇹 Guatemala | 35,299 | 48.78 | 4.29 |
440 | Chandigarh | 🇮🇳 India | 1,166,507 | 48.65 | 4.28 |
441 | Sehore | 🇮🇳 India | 1,452,468 | 48.70 | 4.28 |
442 | Bahawalnagar | 🇵🇰 Pakistan | 3,895,468 | 48.56 | 4.27 |
443 | Harda | 🇮🇳 India | 655,244 | 48.58 | 4.27 |
444 | San Bartolomé Milpas Altas | 🇬🇹 Guatemala | 11,637 | 48.56 | 4.27 |
445 | Sylhet | 🇧🇩 Bangladesh | 3,903,758 | 48.52 | 4.27 |
446 | Lodhran | 🇵🇰 Pakistan | 2,265,233 | 48.35 | 4.25 |
447 | Muzaffargarh | 🇵🇰 Pakistan | 4,850,114 | 48.32 | 4.25 |
448 | Ashoknagar | 🇮🇳 India | 957,807 | 48.29 | 4.24 |
449 | Rajgarh | 🇮🇳 India | 1,732,705 | 48.30 | 4.24 |
450 | Seoni | 🇮🇳 India | 1,547,462 | 48.24 | 4.24 |
451 | Dekiling | 🇧🇹 Bhutan | 4,535 | 48.11 | 4.23 |
452 | Ciudad Vieja | 🇬🇹 Guatemala | 36,973 | 48.01 | 4.22 |
453 | Gelephu | 🇧🇹 Bhutan | 18,144 | 48.02 | 4.22 |
454 | Luebo (ville) | 🇨🇩 DRC | 26,520 | 48.02 | 4.22 |
455 | Multan | 🇵🇰 Pakistan | 5,764,769 | 48.09 | 4.22 |
456 | Rupnagar | 🇮🇳 India | 755,595 | 48.10 | 4.22 |
457 | Koch Bihar | 🇮🇳 India | 3,037,219 | 47.95 | 4.21 |
458 | Umaria | 🇮🇳 India | 591,381 | 47.87 | 4.20 |
459 | Makawanpur | 🇳🇵 Nepal | 481,797 | 47.76 | 4.19 |
460 | Rajanpur | 🇵🇰 Pakistan | 1,840,129 | 47.75 | 4.19 |
461 | Ajmer | 🇮🇳 India | 2,938,947 | 47.70 | 4.18 |
462 | Agar Malwa | 🇮🇳 India | 734,877 | 47.50 | 4.17 |
463 | Attock | 🇵🇰 Pakistan | 3,028,390 | 47.56 | 4.17 |
464 | Gujrat | 🇵🇰 Pakistan | 3,446,394 | 47.59 | 4.17 |
465 | Ilebo | 🇨🇩 DRC | 501,407 | 47.54 | 4.17 |
466 | Liaocheng | 🇨🇳 China | 6,045,858 | 47.52 | 4.17 |
467 | Santa Lucía Milpas Altas | 🇬🇹 Guatemala | 19,667 | 47.52 | 4.17 |
468 | Shaheed Benazir Abad | 🇵🇰 Pakistan | 1,296,630 | 47.59 | 4.17 |
469 | Oshwe | 🇨🇩 DRC | 318,099 | 47.44 | 4.16 |
470 | Boudh | 🇮🇳 India | 480,376 | 47.40 | 4.15 |
471 | Shajapur | 🇮🇳 India | 955,085 | 47.30 | 4.15 |
472 | Shikarpur | 🇵🇰 Pakistan | 722,634 | 47.30 | 4.15 |
473 | Chhuzagang | 🇧🇹 Bhutan | 1,822 | 47.22 | 4.14 |
474 | Kashmore | 🇵🇰 Pakistan | 809,600 | 47.21 | 4.14 |
475 | Namgaychhoeling | 🇧🇹 Bhutan | 3,109 | 47.20 | 4.14 |
476 | Naushahro Feroze | 🇵🇰 Pakistan | 1,350,500 | 47.27 | 4.14 |
477 | Zone 7, Guatemala City | 🇬🇹 Guatemala | 112,441 | 47.25 | 4.14 |
478 | San Antonio Aguas Calientes | 🇬🇹 Guatemala | 13,945 | 47.18 | 4.13 |
479 | Ilebo (ville) | 🇨🇩 DRC | 96,367 | 47.01 | 4.12 |
480 | Jocotenango | 🇬🇹 Guatemala | 24,135 | 47.04 | 4.12 |
481 | Kutu | 🇨🇩 DRC | 744,416 | 46.99 | 4.12 |
482 | Ngo Ketunjia | 🇨🇲 Cameroon | 274,429 | 47.06 | 4.12 |
483 | Nioki | 🇨🇩 DRC | 73,902 | 47.06 | 4.12 |
484 | Luebo | 🇨🇩 DRC | 295,887 | 46.89 | 4.11 |
485 | Pastores | 🇬🇹 Guatemala | 21,379 | 46.88 | 4.10 |
486 | Jalna | 🇮🇳 India | 2,140,052 | 46.69 | 4.09 |
487 | Pune | 🇮🇳 India | 10,338,864 | 46.69 | 4.09 |
488 | South Garo Hills | 🇮🇳 India | 163,681 | 46.76 | 4.09 |
489 | Sahiwal | 🇵🇰 Pakistan | 2,688,960 | 46.67 | 4.08 |
490 | Samtenling | 🇧🇹 Bhutan | 2,175 | 46.61 | 4.08 |
491 | Santa Catarina Barahona | 🇬🇹 Guatemala | 3,438 | 46.65 | 4.08 |
492 | Sumpango | 🇬🇹 Guatemala | 42,564 | 46.61 | 4.08 |
493 | Vehari | 🇵🇰 Pakistan | 3,242,853 | 46.62 | 4.08 |
494 | Cuttack | 🇮🇳 India | 2,903,817 | 46.58 | 4.07 |
495 | Hyderabad | 🇵🇰 Pakistan | 1,446,968 | 46.50 | 4.07 |
496 | Tading | 🇧🇹 Bhutan | 4,314 | 46.50 | 4.07 |
497 | Chandrapur | 🇮🇳 India | 2,414,695 | 46.41 | 4.06 |
498 | Fraijanes | 🇬🇹 Guatemala | 67,417 | 46.38 | 4.06 |
499 | Gandhinagar | 🇮🇳 India | 1,312,495 | 46.46 | 4.06 |
500 | Yumbi | 🇨🇩 DRC | 138,552 | 46.45 | 4.06 |
Note: Data for some cities in the DRC and Egypt is mislabeled in the source and has been omitted from this table.
For instance, residents of the national capital region of India could live nearly 12 years longer if they had cleaner air. In fact the top 78 cities with the most to gain from better air quality are all in India, located in and around the north and northwest regions of the country.
Cities in the broader South Asian region—Bangladesh, Nepal, Pakistan—also feature in the top 500 cities list.
Greater industrialization, economic activity, and rapid population growth in the last two decades have combined to make South Asia a global hotspot for air pollution. Other unique practices in the region that exacerbate the problem include: solid fuel combustion for cooking, burning agricultural waste, and cremation.
Only a few cities, like Melbourne, Australia, meet the WHO guideline. The AQLI report found that 98.4% of the world’s population lives in regions whose air quality is worse than recommended standards.
There is also a significant correlation between a country’s per capita GDP and their air quality; richer countries have cleaner air and vice-versa.
Air Pollution Has the Biggest Impact on Life Expectancy
But perhaps most surprising is how much worse air pollution is to human health, compared to other causes of disease and death. Measured in terms of life expectancy, the AQLI finds that ambient particulate pollution is consistently the world’s greatest external risk to human health.
Click to view this graphic in a higher-resolution.
Globally, particulate pollution reduces average life expectancy the most, worse than tobacco use (2.2 years), unsafe water, sanitation and handwashing (0.6 years), and nutritional deficiencies (0.1 years).
Thus, the impact of particulate pollution on life expectancy is 3.8 times that of exposure to unsafe water, and 23 times that of nutritional deficiencies.
This article was published as a part of Visual Capitalist's Creator Program, which features data-driven visuals from some of our favorite Creators around the world.
Green
Ranked: Top Countries by Total Forest Loss Since 2001
The country with the most forest loss since 2001 lost as much forest cover as the next four countries combined.
Ranked: Top Countries By Total Forest Loss Since 2001
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Forests are critical natural resources, often caught in the crosshairs of economic development. Thanks to expanding human settlement, agriculture, and industry, the world lost nearly 1 million square kilometers (km²) of forest cover since 2001.
But where has most of this deforestation occurred?
We rank the countries by the total decrease in their forest area between 2001 and 2021, measured in square kilometers along with their percentage decrease for context. All of this data was sourced from the World Bank.
A caveat to this data: countries are ranked by total forest loss, so countries with the largest forests feature predominantly on this list.
Which Country Has Lost the Most Forests (2001-2021)?
Brazil has lost more than half a million square kilometers of forest in the last two decades. Agricultural expansion for beef and soy production alongside mining and infrastructure growth are the primary drivers behind this large scale deforestation.
This has also caused periodic fires in the Amazon rainforest, drawing repeated alarm from around the world. In fact, Brazil has lost as much forest cover as the next four countries combined.
The table below lists the countries included in this graphic, as well as several others further down the ranking.
Rank | Country | Region | 2001–21 Change (in km2) | % of Forest Loss |
---|---|---|---|---|
1 | 🇧🇷 Brazil | South America | -517,464 | -9% |
2 | 🇨🇩 DRC | Africa | -181,721 | -13% |
3 | 🇦🇴 Angola | Africa | -111,012 | -14% |
4 | 🇸🇩 Sudan | Africa | -106,213 | -37% |
5 | 🇮🇩 Indonesia | Asia | -95,903 | -9% |
6 | 🇹🇿 Tanzania | Africa | -80,220 | -15% |
7 | 🇵🇾 Paraguay | South America | -68,266 | -30% |
8 | 🇲🇲 Myanmar | Asia | -62,712 | -18% |
9 | 🇦🇷 Argentina | South America | -45,979 | -14% |
10 | 🇲🇿 Mozambique | Africa | -44,688 | -11% |
11 | 🇧🇴 Bolivia | South America | -42,791 | -8% |
12 | 🇨🇴 Colombia | South America | -36,001 | -6% |
13 | 🇳🇬 Nigeria | Africa | -32,661 | -13% |
14 | 🇵🇪 Peru | South America | -30,155 | -4% |
15 | 🇰🇭 Cambodia | Asia | -28,491 | -26% |
16 | 🇻🇪 Venezuela | South America | -28,130 | -6% |
17 | 🇲🇽 Mexico | North America | -26,732 | -4% |
18 | 🇿🇲 Zambia | Africa | -23,924 | -5% |
19 | 🇧🇼 Botswana | Africa | -23,660 | -14% |
20 | 🇨🇮 Cote d'Ivoire | Africa | -22,577 | -45% |
What is quickly apparent is how most of the countries on this list are from Africa and South America. A study found a correlation where developing economies tend to have higher deforestation rates than advanced economies. Former colonies have also experienced more forest loss than those that were not colonized.
In Asia, Indonesia’s burgeoning palm oil industry is a key driver to deforestation, though efforts are now being made to reverse its impact. Meanwhile, Cambodia experienced rapid clear-cutting for its growing rubber plantations and timber industry.
Finally, Myanmar has long contended with illegal logging, but the country’s ongoing civil war is styming conversation efforts.
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