SmogRank / Rankings

All 3,290 cities by unhealthy days, last 30 days

Every city with enough measurements in this window, worst first.

CPCB in India: no readings since 12 Oct (488 monitors). EEA in Spain: no readings since 13 Oct (310 monitors). Their cities show older figures or are missing from this board, not clean.

Ranked by unhealthy days: the share of each city's measured days with a daily mean over 35.4 µg/m³ (US AQI 101+), Unhealthy for Sensitive Groups or worse on the US EPA's scale. Cities with the same share are ordered by more unhealthy days, then by the higher average.

  1. =1297Kandalast full day 11 OctFukuoka, Japan 0%0 of 28
  2. =1297KakamigaharaGifu, Japan 0%0 of 30
  3. =1297HōryūjiNara, Japan 0%0 of 28
  4. =1297IyoEhime, Japan 0%0 of 30
  5. =1297MuswellbrookNew South Wales, Australia 0%0 of 29
  6. =1297Ayrlast full day 5 OctQueensland, Australia 0%0 of 22
  7. =1297AmoraSetúbal, Portugal 0%0 of 30
  8. =1297MelseleFlanders, Belgium 0%0 of 30
  9. =1297GentFlanders, Belgium 0%0 of 30
  10. =1297Weidenlast full day 10 OctBavaria, Germany 0%0 of 27
  11. =1297Schöneichelast full day 10 OctBrandenburg, Germany 0%0 of 25
  12. =1297Greizlast full day 10 OctThuringia, Germany 0%0 of 27
  13. =1297NancyGrand Est, France 0%0 of 30
  14. =1297LilleHauts-de-France, France 0%0 of 30
  15. =1297GetxoBasque Country, Spain 0%0 of 30
  16. =1297AzpeitiaBasque Country, Spain 0%0 of 27
  17. =1297São José dos Camposlast full day 8 OctSão Paulo, Brazil 0%0 of 24
  18. =1297PesqueríaNuevo León, Mexico 0%0 of 28
  19. =1297HuntsvilleAlabama, United States 0%0 of 30
  20. =1297JeffersonvilleIndiana, United States 0%0 of 30
  21. =1297LouisvilleKentucky, United States 0%0 of 29
  22. =1297SchrieverLouisiana, United States 0%0 of 30
  23. =1297North CharlestonSouth Carolina, United States 0%0 of 30
  24. =1297NashvilleTennessee, United States 0%0 of 30
  25. =1297HelotesTexas, United States 0%0 of 29
  26. =1297WheatonIllinois, United States 0%0 of 30
  27. =1297StocktonCalifornia, United States 0%0 of 23
  28. =1297NampaIdaho, United States 0%0 of 30
  29. =1297White CenterWashington, United States 0%0 of 30
  30. =1297CastlegarBritish Columbia, Canada 0%0 of 29
  31. =1297Higashi-MatsuyamaSaitama, Japan 0%0 of 30
  32. =1297ShonaiYamagata, Japan 0%0 of 25
  33. =1333PopradPrešov Region, Slovakia 0%0 of 28
  34. =1333TonoshōKagawa, Japan 0%0 of 30
  35. =1333TakeharaHiroshima, Japan 0%0 of 30
  36. =1333SumotoHyōgo, Japan 0%0 of 30
  37. =1333SakaiOsaka, Japan 0%0 of 30
  38. =1333MiharaHiroshima, Japan 0%0 of 30
  39. =1333KishiwadaOsaka, Japan 0%0 of 30
  40. =1333Kashihara-shiNara, Japan 0%0 of 30
  41. =1333Kakogawachō-honmachiHyōgo, Japan 0%0 of 30
  42. =1333HayashimaOkayama, Japan 0%0 of 30
  43. =1333Fukui-shiFukui, Japan 0%0 of 30
  44. =1333Ponggae-dongJeju-do, South Korea 0%0 of 28
  45. =1333Toongabbie WestNew South Wales, Australia 0%0 of 27
  46. =1333CarlisleEngland, United Kingdom 0%0 of 30
  47. =1333SchiedamSouth Holland, The Netherlands 0%0 of 29
  48. =1333LunterenGelderland, The Netherlands 0%0 of 30
  49. =1333SteyrUpper Austria, Austria 0%0 of 29
  50. =1333Sankt PöltenLower Austria, Austria 0%0 of 30
  51. =1333KlosterneuburgLower Austria, Austria 0%0 of 29
  52. =1333Knokke-HeistFlanders, Belgium 0%0 of 30
  53. =1333HouthalenFlanders, Belgium 0%0 of 30
  54. =1333Trostberg an der Alzlast full day 10 OctBavaria, Germany 0%0 of 27
  55. =1333Niederzierlast full day 10 OctNorth Rhine-Westphalia, Germany 0%0 of 27
  56. =1333MannheimBaden-Wurttemberg, Germany 0%0 of 30
  57. =1333Emdenlast full day 10 OctLower Saxony, Germany 0%0 of 27
  58. =1333Dessaulast full day 10 OctSaxony-Anhalt, Germany 0%0 of 27
  59. =1333CottbusBrandenburg, Germany 0%0 of 30
  60. =1333Bernau bei BerlinBrandenburg, Germany 0%0 of 30
  61. =1333AvignonProvence-Alpes-Côte d'Azur, France 0%0 of 30
  62. =1333HandlováTrenčín Region, Slovakia 0%0 of 23
  63. =1333HodonínSouth Moravian, Czechia 0%0 of 30
  64. =1333ZaragozaAragon, Spain 0%0 of 30
  65. =1333HernaniBasque Country, Spain 0%0 of 30
  66. =1333Pachuca de SotoHidalgo, Mexico 0%0 of 27
  67. =1333NogalesSonora, Mexico 0%0 of 30
  68. =1333GadsdenAlabama, United States 0%0 of 29
  69. =1333McAlesterOklahoma, United States 0%0 of 29
  70. =1333Catañolast full day 8 OctCataño, Puerto Rico 0%0 of 25
  71. =1333ConroeTexas, United States 0%0 of 30
  72. =1333DavisCalifornia, United States 0%0 of 30
  73. =1333Redwood CityCalifornia, United States 0%0 of 30
  74. =1333SacramentoCalifornia, United States 0%0 of 30
  75. =1333TsuchiuraIbaraki, Japan 0%0 of 28
  76. =1333MinokamoGifu, Japan 0%0 of 30
  77. =1333SugaiKyoto, Japan 0%0 of 30
  78. =1333AyaseKanagawa, Japan 0%0 of 28
  79. =1333ShūnanYamaguchi, Japan 0%0 of 30
  80. =1333Blankenfelde-Mahlowlast full day 10 OctBrandenburg, Germany 0%0 of 27
  81. =1381IrákleionCrete, Greece 0%0 of 28
  82. =1381Piatra NeamţNeamț County, Romania 0%0 of 30
  83. =1381SninaPrešov Region, Slovakia 0%0 of 30
  84. =1381UbeYamaguchi, Japan 0%0 of 30
  85. =1381Tottori-shiTottori, Japan 0%0 of 28
  86. =1381TomiokaGunma, Japan 0%0 of 30
  87. =1381TagawaFukuoka, Japan 0%0 of 30
  88. =1381ShimaMie, Japan 0%0 of 30
  89. =1381NagahamaShiga, Japan 0%0 of 29
  90. =1381MarugameKagawa, Japan 0%0 of 30
  91. =1381KyotoKyoto, Japan 0%0 of 30
  92. =1381KudamatsuYamaguchi, Japan 0%0 of 30
  93. =1381KawatanaNagasaki, Japan 0%0 of 30
  94. =1381KainanWakayama, Japan 0%0 of 30
  95. =1381ItoigawaNiigata, Japan 0%0 of 24
  96. =1381AsakaSaitama, Japan 0%0 of 30
  97. =1381TownsvilleQueensland, Australia 0%0 of 30
  98. =1381JaénAndalusia, Spain 0%0 of 30
  99. =1381ZwanenburgNorth Holland, The Netherlands 0%0 of 24
  100. =1381RidderkerkSouth Holland, The Netherlands 0%0 of 29

What stands behind each figure: Checked at 2+ sites One reference monitor Low-cost sensors About these marks

Low-cost sensors: consumer units, counted only in cities with no government-grade monitor; they read close to reference monitors on the whole, but 15 to 25% high in humid air. How we use them.

Good0–50
Moderate51–100
Unhealthy for 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, Turkey and Iran, which publish only on their own websites. We are building the reader for China's network. The networks of Turkey and Iran don't answer requests from outside their countries, so we can't read them. Most cities there are missing from this board, not clean. Why.

Use this board

SmogRank, all cities ranked by unhealthy days (PM2.5), last 30 days to 14 Oct 2026, 07:00 UTC: each city's share of its measured days with a daily mean over 35.4 µg/m³, cities measured on 21 or more of the 30 days. Monitor data from national networks via OpenAQ and the publishers listed at smogrank.com/sources. smogrank.com/rankings?w=30d&by=days. Ranked on low-cost sensors, with no reference monitor in the city: #1 Peshawar, #2 Multan, #5 Kasur, #7 Gujranwala, #8 Lahore, #9 Faisalabad and #10 Jammu. Some values from Sensor.Community, ODbL. Some readings from Vietnam's government monitors; Department of Environment, Nepal; Aurassure; RMCAB (Secretaría Distrital de Ambiente, Bogotá); Love My Air (City and County of Denver); Umhverfisstofnun (Environment Agency of Iceland), no reuse terms published.

Download top 10 by average (PNG)

You're welcome to reuse a single chart, image or figure with this citation and a link. Terms. Raw monitor readings in bulk are published by OpenAQ, under each provider's licence.

Updated 2026-10-14 07:07 UTC. Values are PM2.5 (fine particles), the median of each city's monitors, as the US AQI PM2.5 sub-index. Some low-cost readings: Sensor.Community, ODbL (data and licence). Some readings: Vietnam's government monitors; Department of Environment, Nepal; Aurassure; RMCAB (Secretaría Distrital de Ambiente, Bogotá); Love My Air (City and County of Denver); Umhverfisstofnun (Environment Agency of Iceland), no reuse terms published (why we use them).