Climatch

Land with a climate like Karīmganj

🇮🇳Karīmganj, Assam, India

The towns with the closest growing climate to Karīmganj are Sunāmganj, Bangladesh (99% match), Habiganj and Bongaigaon. About 125,000 sq mi of land in 7 countries matches 80% or better, most of it in Assam, India, Chittagong, Bangladesh and Kachin State, Myanmar.The towns with the closest growing climate to Karīmganj are Sunāmganj, Bangladesh (99% match), Habiganj and Bongaigaon. About 323,000 km² of land in 7 countries matches 80% or better, most of it in Assam, India, Chittagong, Bangladesh and Kachin State, Myanmar.

Your growing climate

Zone 11a · No frost · 0 chill hours · 133 in rainZone 11a · No frost · 0 chill hours · 3,368 mm rain

What grows in Karīmganj →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    29k sq mi76k km² matching 80% or better

    For example Barpeta Road (96), Howli (96)

  2. 2

    🇧🇩Chittagong, Bangladesh

    11k sq mi28k km² matching 80% or better

    For example Shāhbāzpur Town (96), Brāhmanbāria (95)

  3. 3

    🇲🇲Kachin State, Myanmar

    10k sq mi27k km² matching 80% or better

    For example Myitkyina (86), Danai (86)

  4. 4

    🇧🇩Khulna Division, Bangladesh

    8,000 sq mi21k km² matching 80% or better

    For example Kālia (91), Narail (90)

  5. 5

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Bājitpur (96), Nagar Naluākot (95)

  6. 6

    🇮🇳West Bengal, India

    6,500 sq mi17k km² matching 80% or better

    For example Hāsimāra (95), Birpara (94)

  7. 7

    🇮🇳Tripura, India

    5,700 sq mi15k km² matching 80% or better

    For example Kanchanpur (97), Āmbāsa (96)

  8. 8

    🇲🇲Sagaing Region, Myanmar

    5,400 sq mi14k km² matching 80% or better

    For example Tamu (89), Tatkon (85)

  9. 9

    🇱🇦Bolikhamsai, Laos

    1,700 sq mi4,400 km² matching 80% or better

    For example Borikhan (86), Pakxan (86)

  10. 10

    🇱🇦Vientiane, Laos

    1,700 sq mi4,400 km² matching 80% or better

    For example Vang Vieng (87)

  11. 11

    🇹🇭Bueng Kan, Thailand

    1,400 sq mi3,700 km² matching 80% or better

    For example Seka (80)

  12. 12

    🇱🇦Khammouane Province, Laos

    900 sq mi2,200 km² matching 80% or better

    For example Thakhèk (67)

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

    🇧🇩SunāmganjSylhet Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 127 in rainZone 11a · No frost · 0 chill hours · 3,225 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: cassava, tea, banana

    99%match
  2. 2

    🇧🇩HabiganjSylhet Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 95 in rainZone 11a · No frost · 0 chill hours · 2,402 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cassava, citrus, avocado

    99%match
  3. 3

    🇮🇳BongaigaonAssam, India

    Zone 11a · No frost · 0 chill hours · 132 in rainZone 11a · No frost · 0 chill hours · 3,353 mm rain

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

    95%match
  4. 4

    🇮🇳TaranagarTripura, India

    Zone 10b · No frost · 3 chill hours · 81 in rainZone 10b · No frost · 3 chill hours · 2,051 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: citrus, cassava, avocado

    95%match
  5. 5

    🇮🇳BarpetaAssam, India

    Zone 11a · No frost · 0 chill hours · 88 in rainZone 11a · No frost · 0 chill hours · 2,246 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cassava, macadamia, citrus

    95%match
  6. 6

    🇧🇩NabīnagarChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 87 in rainZone 11a · No frost · 0 chill hours · 2,199 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cassava, citrus, avocado

    94%match
  7. 7

    🇧🇩ComillaChittagong, Bangladesh

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

    Shares 15 of your 16 great-fit crops · Also great there: cassava, citrus, avocado

    94%match
  8. 8

    🇮🇳AgartalaTripura, India

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

    Shares 15 of your 16 great-fit crops · Also great there: citrus, cassava, avocado

    94%match
  9. 9

    🇮🇳JorhatAssam, India

    Zone 10b · No frost · 9 chill hours · 91 in rainZone 10b · No frost · 9 chill hours · 2,299 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: citrus, tea, macadamia

    94%match
  10. 10

    🇧🇩NarayanganjDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 86 in rainZone 11a · No frost · 0 chill hours · 2,196 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cassava, citrus, avocado

    94%match
  11. 11

    🇮🇳RangāpāraAssam, India

    Zone 11a · No frost · 1 chill hours · 86 in rainZone 11a · No frost · 1 chill hours · 2,187 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cassava, citrus, avocado

    93%match
  12. 12

    🇮🇳NaharlagunArunachal Pradesh, India

    Zone 10b · No frost · 8 chill hours · 107 in rainZone 10b · No frost · 8 chill hours · 2,718 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: tea, macadamia, banana

    93%match
  13. 13

    🇮🇳JaigaonWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 153 in rainZone 11a · No frost · 0 chill hours · 3,874 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: banana, tea

    93%match
  14. 14

    🇧🇩FarīdpurDhaka Division, Bangladesh

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

    Shares 15 of your 16 great-fit crops · Also great there: citrus, cassava, avocado

    93%match
  15. 15

    🇧🇩GafargaonMymensingh Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 88 in rainZone 11a · No frost · 0 chill hours · 2,223 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cassava, citrus, avocado

    93%match
  16. 16

    🇧🇩MaijdiChittagong, Bangladesh

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

    Shares 14 of your 16 great-fit crops · Also great there: cassava

    93%match
  17. 17

    🇧🇩MadaripurDhaka Division, Bangladesh

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

    Shares 15 of your 16 great-fit crops · Also great there: cassava, citrus, avocado

    92%match
  18. 18

    🇮🇳DhupgāriWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 136 in rainZone 11a · No frost · 0 chill hours · 3,451 mm rain

    Shares 15 of your 16 great-fit crops

    92%match
  19. 19

    🇮🇳KolasibMizoram, India

    Zone 11a · No frost · 2 chill hours · 98 in rainZone 11a · No frost · 2 chill hours · 2,486 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: macadamia, cassava, citrus

    92%match
  20. 20

    🇮🇳TezpurAssam, India

    Zone 11a · No frost · 1 chill hours · 75 in rainZone 11a · No frost · 1 chill hours · 1,910 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: citrus, cassava, avocado

    92%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 Karīmganj: 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.