Climatch

Land with a climate like Kesabpur

🇧🇩Kesabpur, Khulna Division, Bangladesh

The towns with the closest growing climate to Kesabpur are Farīdpur, Bangladesh (99% match), Pirojpur and Madaripur. About 247,000 sq mi of land in 9 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 Kesabpur are Farīdpur, Bangladesh (99% match), Pirojpur and Madaripur. About 640,000 km² of land in 9 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 · 70 in rainZone 11a · No frost · 0 chill hours · 1,786 mm rain

What grows in Kesabpur →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    28k sq mi73k km² matching 80% or better

    For example Canning (99), Baruipur (99)

  2. 2

    🇮🇳Odisha, India

    24k sq mi63k km² matching 80% or better

    For example Balasore (97), Bāsudebpur (96)

  3. 3

    🇮🇳Assam, India

    19k sq mi50k km² matching 80% or better

    For example Silchar (94), Hojāi (93)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    15k sq mi40k km² matching 80% or better

    For example Tatkon (94), Tamu (93)

  5. 5

    🇧🇩Chittagong, Bangladesh

    14k sq mi35k km² matching 80% or better

    For example Comilla (99), Hājīganj (98)

  6. 6

    🇲🇲Kachin State, Myanmar

    12k sq mi30k km² matching 80% or better

    For example Mogaung (92), Myitkyina (92)

  7. 7

    🇧🇩Khulna Division, Bangladesh

    9,100 sq mi24k km² matching 80% or better

    For example Morrelgonj (99), Sarankhola (99)

  8. 8

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Gopālganj (99), Farīdpur (99)

  9. 9

    🇹🇭Udon Thani, Thailand

    4,600 sq mi12k km² matching 80% or better

    For example Ban Dung (89), Nam Som (87)

  10. 10

    🇹🇭Phrae, Thailand

    3,400 sq mi8,800 km² matching 80% or better

    For example Den Chai (88), Phrae (86)

  11. 11

    🇹🇭Nakhon Ratchasima, Thailand

    2,900 sq mi7,500 km² matching 80% or better

    For example Khon Buri (83), Pak Chong (82)

  12. 12

    🇱🇦Bokeo, Laos

    2,800 sq mi7,300 km² matching 80% or better

    For example Ban Khoan (90), Ban Houakhoua (90)

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

    🇧🇩FarīdpurDhaka Division, Bangladesh

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

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

    99%match
  2. 2

    🇧🇩PirojpurBarisal Division, Bangladesh

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

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

    99%match
  3. 3

    🇧🇩MadaripurDhaka Division, Bangladesh

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

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

    99%match
  4. 4

    🇧🇩BarishalBarisal Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,269 mm rain

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

    99%match
  5. 5

    🇧🇩BurircharBarisal Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 103 in rainZone 11a · No frost · 0 chill hours · 2,624 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  6. 6

    🇧🇩DhakaDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 86 in rainZone 11a · No frost · 0 chill hours · 2,181 mm rain

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

    99%match
  7. 7

    🇧🇩NāgarpurDhaka Division, Bangladesh

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

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

    99%match
  8. 8

    🇧🇩ComillaChittagong, Bangladesh

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

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

    99%match
  9. 9

    🇧🇩PābnaRajshahi Division, Bangladesh

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

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

    99%match
  10. 10

    🇧🇩ChāndpurChittagong, Bangladesh

    Zone 11b · No frost · 0 chill hours · 84 in rainZone 11b · No frost · 0 chill hours · 2,135 mm rain

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

    98%match
  11. 11

    🇧🇩Uttar Char FassonKhulna Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 113 in rainZone 11a · No frost · 0 chill hours · 2,858 mm rain

    Shares 16 of your 17 great-fit crops

    98%match
  12. 12

    🇮🇳AgartalaTripura, India

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

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

    97%match
  13. 13

    🇮🇳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: date palm

    97%match
  14. 14

    🇧🇩SirajganjRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,784 mm rain

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

    97%match
  15. 15

    🇧🇩Nagar NaluākotDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,252 mm rain

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

    97%match
  16. 16

    🇧🇩SakhipurDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 80 in rainZone 11a · No frost · 0 chill hours · 2,034 mm rain

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

    97%match
  17. 17

    🇧🇩MaijdiChittagong, Bangladesh

    Zone 11b · No frost · 0 chill hours · 114 in rainZone 11b · No frost · 0 chill hours · 2,884 mm rain

    Shares 15 of your 17 great-fit crops

    97%match
  18. 18

    🇧🇩ChattogramChittagong, Bangladesh

    Zone 11b · No frost · 0 chill hours · 110 in rainZone 11b · No frost · 0 chill hours · 2,785 mm rain

    Shares 14 of your 17 great-fit crops

    97%match
  19. 19

    🇧🇩SandwīpChittagong, Bangladesh

    Zone 11b · No frost · 0 chill hours · 104 in rainZone 11b · No frost · 0 chill hours · 2,640 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: macadamia

    96%match
  20. 20

    🇮🇳KolkataWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 68 in rainZone 11a · No frost · 0 chill hours · 1,736 mm rain

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

    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 Kesabpur: 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.