Climatch

Land with a climate like Bangaon, India

🇮🇳Bangaon, West Bengal, India

The towns with the closest growing climate to Bangaon, India are Maheshtala, India (99% match), Pābna and Canning. About 270,000 sq mi of land in 6 countries matches 80% or better, most of it in West Bengal, India, Odisha, India and Assam, India.The towns with the closest growing climate to Bangaon, India are Maheshtala, India (99% match), Pābna and Canning. About 699,000 km² of land in 6 countries matches 80% or better, most of it in West Bengal, India, Odisha, India and Assam, India.

Your growing climate

Zone 11a · No frost · 0 chill hours · 67 in rainZone 11a · No frost · 0 chill hours · 1,705 mm rain

What grows in Bangaon, India →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    32k sq mi84k km² matching 80% or better

    For example Fort Gloster (99), Budge Budge (99)

  2. 2

    🇮🇳Odisha, India

    28k sq mi73k km² matching 80% or better

    For example Balasore (97), Remuna (97)

  3. 3

    🇮🇳Assam, India

    19k sq mi49k km² matching 80% or better

    For example Hojāi (93), Lanka (93)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    18k sq mi46k km² matching 80% or better

    For example Tatkon (94), Tamu (94)

  5. 5

    🇧🇩Chittagong, Bangladesh

    12k sq mi32k km² matching 80% or better

    For example Comilla (97), Khagrachhari (97)

  6. 6

    🇲🇲Kachin State, Myanmar

    11k sq mi28k km² matching 80% or better

    For example Mogaung (94), Shwegu (94)

  7. 7

    🇧🇩Khulna Division, Bangladesh

    9,100 sq mi24k km² matching 80% or better

    For example Kushtia (99), Bherāmāra (99)

  8. 8

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Nāgarpur (98), Farīdpur (98)

  9. 9

    🇹🇭Udon Thani, Thailand

    5,400 sq mi14k km² matching 80% or better

    For example Ban Dung (90), Nam Som (88)

  10. 10

    🇹🇭Nakhon Ratchasima, Thailand

    4,300 sq mi11k km² matching 80% or better

    For example Pak Chong (84), Khon Buri (83)

  11. 11

    🇱🇦Savannakhet Province, Laos

    3,700 sq mi9,600 km² matching 80% or better

    For example Ban Xénô (83), Savannakhet (82)

  12. 12

    🇹🇭Loei, Thailand

    3,400 sq mi8,900 km² matching 80% or better

    For example Loei (87), Wang Saphung (86)

Regions are states and provinces, counting land within 75 km of a town. At most three per country, so the list covers the world.

Closest towns

  1. 1

    🇮🇳MaheshtalaWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 67 in rainZone 11a · No frost · 0 chill hours · 1,709 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  2. 2

    🇧🇩PābnaRajshahi Division, Bangladesh

    Zone 10b · No frost · 2 chill hours · 67 in rainZone 10b · No frost · 2 chill hours · 1,700 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: canola (rapeseed), avocado

    99%match
  3. 3

    🇮🇳CanningWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,790 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: canola (rapeseed), avocado

    99%match
  4. 4

    🇧🇩RajshahiRajshahi Division, Bangladesh

    Zone 10b · No frost · 3 chill hours · 63 in rainZone 10b · No frost · 3 chill hours · 1,591 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  5. 5

    🇧🇩KhulnaKhulna Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 74 in rainZone 11a · No frost · 0 chill hours · 1,887 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: avocado

    99%match
  6. 6

    🇧🇩NāgarpurDhaka Division, Bangladesh

    Zone 11a · No frost · 2 chill hours · 73 in rainZone 11a · No frost · 2 chill hours · 1,855 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado, canola (rapeseed)

    98%match
  7. 7

    🇧🇩Pār NaogaonRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 66 in rainZone 11a · No frost · 0 chill hours · 1,676 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: avocado, canola (rapeseed)

    98%match
  8. 8

    🇧🇩FarīdpurDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 78 in rainZone 11a · No frost · 0 chill hours · 1,988 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: canola (rapeseed), avocado

    98%match
  9. 9

    🇧🇩TangailDhaka Division, Bangladesh

    Zone 11a · No frost · 2 chill hours · 73 in rainZone 11a · No frost · 2 chill hours · 1,847 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado, canola (rapeseed)

    98%match
  10. 10

    🇮🇳BalasoreOdisha, India

    Zone 11b · No frost · 0 chill hours · 67 in rainZone 11b · No frost · 0 chill hours · 1,711 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: canola (rapeseed)

    97%match
  11. 11

    🇧🇩ShibganjRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 77 in rainZone 11a · No frost · 0 chill hours · 1,966 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado, canola (rapeseed)

    97%match
  12. 12

    🇧🇩ComillaChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 86 in rainZone 11a · No frost · 0 chill hours · 2,186 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado, canola (rapeseed), banana

    97%match
  13. 13

    🇧🇩KhagrachhariChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,250 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado, canola (rapeseed)

    97%match
  14. 14

    🇮🇳HaldiaWest Bengal, India

    Zone 11b · No frost · 0 chill hours · 68 in rainZone 11b · No frost · 0 chill hours · 1,735 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado, canola (rapeseed)

    97%match
  15. 15

    🇮🇳AgartalaTripura, India

    Zone 11a · No frost · 1 chill hours · 82 in rainZone 11a · No frost · 1 chill hours · 2,071 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado, canola (rapeseed), banana

    97%match
  16. 16

    🇧🇩PirojpurBarisal Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 87 in rainZone 11a · No frost · 0 chill hours · 2,221 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado, canola (rapeseed)

    96%match
  17. 17

    🇧🇩NawābganjRajshahi Division, Bangladesh

    Zone 10b · No frost · 3 chill hours · 58 in rainZone 10b · No frost · 3 chill hours · 1,461 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: fig

    96%match
  18. 18

    🇧🇩MohammadpurRajshahi Division, Bangladesh

    Zone 10b · No frost · 7 chill hours · 62 in rainZone 10b · No frost · 7 chill hours · 1,566 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: avocado

    96%match
  19. 19

    🇧🇩MadaripurDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 83 in rainZone 11a · No frost · 0 chill hours · 2,120 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado, banana, canola (rapeseed)

    96%match
  20. 20

    🇧🇩JamālpurMymensingh Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 84 in rainZone 11a · No frost · 0 chill hours · 2,136 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado, canola (rapeseed)

    96%match

Any town over 15,000 people, skipping those within 75 km of you. ↻ = seasons flipped across the equator.

How matching works

We compare all twelve months of average highs and lows, rain, humidity and sunshine, the same way as Climatch's places-like search, but weighted for growing: winter lows count most, since frost, chill and hardiness decide which perennials survive, then summer highs and rain. Humidity counts least.

Scores show how unusual a match this close is: 80 or better is closer than all but about 2% of random pairs of places. Across the equator seasons are lined up (↻), so a southern farm's January is compared with a northern July. Climate is only part of it: check soil, water and day length (it matters for photoperiod crops) before buying land.

Looking for land?

We're building detailed reports on land like Bangaon, India: frost risk year by year, water, and how each match's climate is shifting by 2050.

We'll only use your email for the report and related updates.

Climate data: TerraClimate 1991–2020 monthly averages (Abatzoglou, J.T. et al., 2018, Scientific Data 5:170191). Humidity is derived from TerraClimate vapor pressure; “sunshine” is solar radiation.

Places: GeoNames (CC BY 4.0). Map: © OpenStreetMap contributors, tiles by OpenFreeMap.

Grower tools: crop ranges from FAO ECOCROP and university extension guides (cited per crop). Daily weather, frost dates and chill are estimated from the monthly averages; chill portions use the Dynamic Model (Fishman, Erez & Couvillon, 1987), hardiness zones follow the USDA definition.