SmogRank / History / March 30, 2024

Most polluted cities on March 30, 2024

2,232 cities ranked by their average PM2.5 over the day; the worst was N'Djamena, Chad, at 173.0 µg/m³. Each city's own local calendar day.

Bad-air episodes during March 30, 2024. All episodes.

← N'Djamena 173.0 µg/m³ 150 µg/m³15 WHO 24-hour guideline
Every city ranked for March 30, 2024, one column each, worst on the left and cleanest on the right; height is PM2.5 in µg/m³. Point at it to read a city; tap to open it.
  1. 1N'DjamenaN’Djaména, Chad
    24811.5×
  2. 2Mae SaiChiang Rai, Thailand
    1947.8×
  3. 3TraunreutBavaria, Germany
    1786.2×
  4. 4DelhiDelhi, India
    1675.2×
  5. 5Chiang MaiChiang Mai, Thailand
    1665.1×
  6. 6LamphunLamphun, Thailand
    1655.1×
  7. 7BurghausenBavaria, Germany
    1634.8×
  8. 8PhayaoPhayao, Thailand
    1624.8×
  9. 9LampangLampang, Thailand
    1624.8×
  10. 10NanNan, Thailand
    1594.4×
  11. 10StarnbergBavaria, Germany
    1594.4×
  12. 12Chiang RaiChiang Rai, Thailand
    1594.4×
  13. 13Kempten (Allgäu)Bavaria, Germany
    1574.3×
  14. 14BaghdadBaghdad, Iraq
    1574.3×
  15. 15Dhakalow-cost sensorsDhaka Division, Bangladesh
    1574.2×
  16. 16Mae SotTak, Thailand
    1564.2×
  17. 17LindauBavaria, Germany
    1554.1×
  18. 18Schwandorf in BayernBavaria, Germany
    1544.0×
  19. 19AugsburgBavaria, Germany
    1493.7×
  20. 20HanoiHanoi, Vietnam
    1423.5×
  21. 21PhraePhrae, Thailand
    1403.4×
  22. 22Halle (Saale)Saxony-Anhalt, Germany
    1393.4×
  23. 23JakartaJakarta, Indonesia
    1373.3×
  24. 24UttaraditUttaradit, Thailand
    1363.3×
  25. 25České BudějoviceSouth Bohemian Region, Czechia
    1363.3×
  26. 26YasothonYasothon, Thailand
    1333.2×
  27. 27Ubon RatchathaniUbon Ratchathani, Thailand
    1313.2×
  28. 28CoburgBavaria, Germany
    1313.2×
  29. 28Puerto VarasLos Lagos Region, Chile
    1313.2×
  30. 30MunichBavaria, Germany
    1303.2×
  31. 31WeidenBavaria, Germany
    1283.1×
  32. 32CairoCairo, Egypt
    1263.0×
  33. 33DessauSaxony-Anhalt, Germany
    1253.0×
  34. 34BernburgSaxony-Anhalt, Germany
    1253.0×
  35. 34WittenbergSaxony-Anhalt, Germany
    1253.0×
  36. 36Roi EtRoi Et, Thailand
    1233.0×
  37. 37KigaliKigali, Rwanda
    1233.0×
  38. 37MukdahanMukdahan, Thailand
    1233.0×
  39. 39Lop BuriLopburi, Thailand
    1222.9×
  40. 40KöthenSaxony-Anhalt, Germany
    1212.9×
  41. 41HyderabadTelangana, India
    1192.9×
  42. 41YangonYangon, Myanmar
    1192.9×
  43. 43Amnat CharoenAmnat Charoen, Thailand
    1182.8×
  44. 44KelheimBavaria, Germany
    1172.8×
  45. 45Sing BuriSing Buri, Thailand
    1172.8×
  46. 46IngolstadtBavaria, Germany
    1162.8×
  47. 47EisenhüttenstadtBrandenburg, Germany
    1152.8×
  48. 48DěčínÚstí nad Labem Region, Czechia
    1152.7×
  49. 49Si Sa KetSi Sa Ket, Thailand
    1142.7×
  50. 50Lahorelow-cost sensorsPunjab, Pakistan
    1142.7×
  51. 50NurembergBavaria, Germany
    1142.7×
  52. 50Burg bei MagdeburgSaxony-Anhalt, Germany
    1142.7×
  53. 50Bitterfeld-WolfenSaxony-Anhalt, Germany
    1142.7×
  54. 54Nakhon SawanNakhon Sawan, Thailand
    1132.7×
  55. 54Chai NatChai Nat, Thailand
    1132.7×
  56. 54Brandenburg an der HavelBrandenburg, Germany
    1132.7×
  57. 57SukhothaiSukhothai, Thailand
    1132.7×
  58. 58KolkataWest Bengal, India
    1132.7×
  59. 58ShanghaiShanghai, China
    1132.7×
  60. 60Kamphaeng PhetKamphaeng Phet, Thailand
    1102.6×
  61. 61MartinŽilina Region, Slovakia
    1082.5×
  62. 62KanchanaburiKanchanaburi, Thailand
    1062.5×
  63. 62SuhlThuringia, Germany
    1062.5×
  64. 62CottbusBrandenburg, Germany
    1062.5×
  65. 62MostÚstí nad Labem Region, Czechia
    1062.5×
  66. 62ŻaryLubusz, Poland
    1062.5×
  67. 67BambergBavaria, Germany
    1042.4×
  68. 68SalamancaGuanajuato, Mexico
    1042.4×
  69. 69Nakhon RatchasimaNakhon Ratchasima, Thailand
    1032.4×
  70. 69LubnjowBrandenburg, Germany
    1032.4×
  71. 71AalenBaden-Wurttemberg, Germany
    1032.4×
  72. 72SaalfeldThuringia, Germany
    1032.4×
  73. 72GeraThuringia, Germany
    1032.4×
  74. 74ČadcaŽilina Region, Slovakia
    1022.4×
  75. 75AltenburgThuringia, Germany
    1012.4×
  76. 76Jeju CityJeju-do, South Korea
    1012.4×
  77. 77Frankfurt (Oder)Brandenburg, Germany
    1002.3×
  78. 78PoznańGreater Poland, Poland
    992.3×
  79. 79Si Maha PhotPrachin Buri, Thailand
    992.3×
  80. 79CieszynSilesia, Poland
    992.3×
  81. 81FriedrichshafenBaden-Wurttemberg, Germany
    992.3×
  82. 81Jelenia GóraLower Silesia, Poland
    992.3×
  83. 83MagdeburgSaxony-Anhalt, Germany
    982.3×
  84. 84GreizThuringia, Germany
    982.3×
  85. 84KadaňÚstí nad Labem Region, Czechia
    982.3×
  86. 86ZnojmoSouth Moravian, Czechia
    982.3×
  87. 87TeltowBrandenburg, Germany
    982.3×
  88. 87Wodzisław ŚląskiSilesia, Poland
    982.3×
  89. 89BerlinState of Berlin, Germany
    972.3×
  90. 89Kędzierzyn-KoźleOpole Voivodeship, Poland
    972.3×
  91. 91HavířovMoravian-Silesian Region, Czechia
    972.2×
  92. 92HaenamJeollanam-do, South Korea
    972.2×
  93. 92SantiagoSantiago Metropolitan, Chile
    972.2×
  94. 94KladnoCentral Bohemia, Czechia
    962.2×
  95. 94Frýdek-MístekMoravian-Silesian Region, Czechia
    962.2×
  96. 96PrievidzaTrenčín Region, Slovakia
    962.2×
  97. 97Biberach an der RißBaden-Wurttemberg, Germany
    962.2×
  98. 98SinanJeollanam-do, South Korea
    962.2×
  99. 99PhichitPhichit, Thailand
    962.2×
  100. 99SangjuGyeongsangbuk-do, South Korea
    962.2×
  101. 99OstravaMoravian-Silesian Region, Czechia
    962.2×
  102. 102YeojuGyeonggi-do, South Korea
    952.2×
  103. 103Puente AltoSantiago Metropolitan, Chile
    952.2×
  104. 103SeogwipoJeju-do, South Korea
    952.2×
  105. 105AsanChungcheongnam-do, South Korea
    952.2×
  106. 106JinchengFukien, Taiwan
    942.2×
  107. 106YesanChungcheongnam-do, South Korea
    942.2×
  108. 106DamyangJeollanam-do, South Korea
    942.2×
  109. 109KreuzlingenThurgau, Switzerland
    942.2×
  110. 110LuckenwaldeBrandenburg, Germany
    942.1×
  111. 110PilsenPlzeň Region, Czechia
    942.1×
  112. 112TepliceÚstí nad Labem Region, Czechia
    942.1×
  113. 113Vientianelow-cost sensorsVientiane Prefecture, Laos
    942.1×
  114. 113KutnoŁódź Voivodeship, Poland
    942.1×
  115. 115Valašské MeziříčíZlín, Czechia
    932.1×
  116. 115Jastrzębie ZdrójSilesia, Poland
    932.1×
  117. 117Phra Nakhon Si AyutthayaPhra Nakhon Si Ayutthaya, Thailand
    932.1×
  118. 117KinzanChungcheongnam-do, South Korea
    932.1×
  119. 117JangheungJeollanam-do, South Korea
    932.1×
  120. 117KościanGreater Poland, Poland
    932.1×
  121. 121WłocławekKujawsko-Pomorskie, Poland
    932.1×
  122. 122IksanJeollabuk-do, South Korea
    932.1×
  123. 122PotsdamBrandenburg, Germany
    932.1×
  124. 124YuanlinTaiwan, Taiwan
    932.1×
  125. 124ErlinTaiwan, Taiwan
    932.1×
  126. 124Königs WusterhausenBrandenburg, Germany
    932.1×
  127. 127KimjeJeollabuk-do, South Korea
    922.1×
  128. 128OkcheonNorth Chungcheong, South Korea
    922.1×
  129. 128ChinjuGyeongsangnam-do, South Korea
    922.1×
  130. 130AnsbachBavaria, Germany
    922.1×
  131. 130OpavaMoravian-Silesian Region, Czechia
    922.1×
  132. 130SzczecinWest Pomerania, Poland
    922.1×
  133. 133PubalGyeonggi-do, South Korea
    922.1×
  134. 133BerounCentral Bohemia, Czechia
    922.1×
  135. 135BuanJeollabuk-do, South Korea
    922.1×
  136. 136LitvínovÚstí nad Labem Region, Czechia
    912.0×
  137. 137AthensAttica, Greece
    912.0×
  138. 138GunsanJeollabuk-do, South Korea
    912.0×
  139. 138Viña del MarValparaiso, Chile
    912.0×
  140. 140YeonggwangJeollanam-do, South Korea
    912.0×
  141. 140MasanGwangju, South Korea
    912.0×
  142. 140GwangjuGwangju, South Korea
    912.0×
  143. 140TongyeongGyeongsangnam-do, South Korea
    912.0×
  144. 140TřinecMoravian-Silesian Region, Czechia
    912.0×
  145. 140RacibórzSilesia, Poland
    912.0×
  146. 146Udon ThaniUdon Thani, Thailand
    902.0×
  147. 146Sakon NakhonSakon Nakhon, Thailand
    902.0×
  148. 146ZhudongTaiwan, Taiwan
    902.0×
  149. 146JangseongJeollanam-do, South Korea
    902.0×
  150. 146CelayaGuanajuato, Mexico
    902.0×
  151. 151ShulinTaipei, Taiwan
    902.0×
  152. 151FalkenseeBrandenburg, Germany
    902.0×
  153. 151OsornoLos Lagos Region, Chile
    902.0×
  154. 154ŁaskŁódź Voivodeship, Poland
    902.0×
  155. 155Suphan BuriSuphan Buri, Thailand
    902.0×
  156. 155DouliuTaiwan, Taiwan
    902.0×
  157. 155PraguePrague, Czechia
    902.0×
  158. 158Peshawarlow-cost sensorsKhyber Pakhtunkhwa, Pakistan
    902.0×
  159. 159LoeiLoei, Thailand
    892.0×
  160. 159ChaiyaphumChaiyaphum, Thailand
    892.0×
  161. 159GumiGyeongsangbuk-do, South Korea
    892.0×
  162. 159GimcheonGyeongsangbuk-do, South Korea
    892.0×
  163. 159JenaThuringia, Germany
    892.0×
  164. 164Hwaseong-siGyeonggi-do, South Korea
    892.0×
  165. 164MeiningenThuringia, Germany
    892.0×
  166. 164TalaganteSantiago Metropolitan, Chile
    892.0×
  167. 167SuncheonJeollanam-do, South Korea
    892.0×
  168. 168TaichungTaiwan, Taiwan
    892.0×
  169. 168Icheon-siGyeonggi-do, South Korea
    892.0×
  170. 168Cheongju-siNorth Chungcheong, South Korea
    892.0×
  171. 168KatowiceSilesia, Poland
    892.0×
  172. 168KaliszGreater Poland, Poland
    892.0×
  173. 168Gorzów WielkopolskiLubusz, Poland
    892.0×
  174. 168Blankenfelde-MahlowBrandenburg, Germany
    892.0×
  175. 175SeonghwanChungcheongnam-do, South Korea
    881.9×
  176. 175AndongGyeongsangbuk-do, South Korea
    881.9×
  177. 175Neu-UlmBavaria, Germany
    881.9×
  178. 175Bernau bei BerlinBrandenburg, Germany
    881.9×
  179. 179ZhushanTaiwan, Taiwan
    881.9×
  180. 179ReutlingenBaden-Wurttemberg, Germany
    881.9×
  181. 179MarktredwitzBavaria, Germany
    881.9×
  182. 182Prachin BuriPrachin Buri, Thailand
    881.9×
  183. 182WeißenfelsSaxony-Anhalt, Germany
    881.9×
  184. 182TaoyuanTaiwan, Taiwan
    881.9×
  185. 185JeonjuJeollabuk-do, South Korea
    881.9×
  186. 185ChanghuaTaiwan, Taiwan
    881.9×
  187. 185Santa Anita - Los FicusLima region, Peru
    881.9×
  188. 188PuliTaiwan, Taiwan
    881.9×
  189. 188GuangzhouGuangdong, China
    881.9×
  190. 188MokpoJeollanam-do, South Korea
    881.9×
  191. 188HongseongChungcheongnam-do, South Korea
    881.9×
  192. 188SaijōEhime, Japan
    881.9×
  193. 193WanjuJeollabuk-do, South Korea
    881.9×
  194. 194NeuruppinBrandenburg, Germany
    871.9×
  195. 194WrocławLower Silesia, Poland
    871.9×
  196. 196SokolovCarlsbad Region, Czechia
    871.9×
  197. 197Hradec KrálovéHradec Králové Region, Czechia
    871.9×
  198. 197BogatyniaLower Silesia, Poland
    871.9×
  199. 199NangenJeollabuk-do, South Korea
    871.9×
  200. 199QuilpuéValparaiso, Chile
    871.9×

Top 200 of 2,232 shown.

Good0–50
Moderate51–100
Sensitive groups101–150
Unhealthy151–200
Very unhealthy201–300
Hazardous301+

The US EPA's Air Quality Index for PM2.5 (2024 breakpoints). Show values as: µg/m³ · US AQI · India AQI · China AQI · European AQI · UK DAQI · Canada AQHI+. About the scales

Not covered: the government monitoring networks of China and Turkey, which publish no terms that let us reuse their readings. Most cities there are missing from this board, not clean. Why.

Use this board

SmogRank, most polluted cities, PM2.5, March 30, 2024, smogrank.com/history/2024-03-30 (accessed 3 Oct 2026).

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