Climatch

Land with a climate like Sunāmganj

🇧🇩Sunāmganj, Sylhet Division, Bangladesh

The towns with the closest growing climate to Sunāmganj are Habiganj, Bangladesh (99% match), Karīmganj and Silchar. About 152,000 sq mi of land in 8 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 Sunāmganj are Habiganj, Bangladesh (99% match), Karīmganj and Silchar. About 393,000 km² of land in 8 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 · 127 in rainZone 11a · No frost · 0 chill hours · 3,225 mm rain

What grows in Sunāmganj →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    28k sq mi71k km² matching 80% or better

    For example Karīmganj (99), Hailākāndi (99)

  2. 2

    🇧🇩Chittagong, Bangladesh

    13k sq mi34k km² matching 80% or better

    For example Shāhbāzpur Town (99), Ashuganj City (99)

  3. 3

    🇲🇲Kachin State, Myanmar

    13k sq mi33k km² matching 80% or better

    For example Mogaung (89), Myitkyina (89)

  4. 4

    🇮🇳West Bengal, India

    11k sq mi28k km² matching 80% or better

    For example Goyerkāta (98), Birpara (98)

  5. 5

    🇧🇩Khulna Division, Bangladesh

    9,100 sq mi24k km² matching 80% or better

    For example Kālia (93), Uttar Char Fasson (93)

  6. 6

    🇲🇲Sagaing Region, Myanmar

    9,000 sq mi23k km² matching 80% or better

    For example Tamu (91), Tatkon (88)

  7. 7

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Kishorganj (99), Bājitpur (99)

  8. 8

    🇮🇳Tripura, India

    5,700 sq mi15k km² matching 80% or better

    For example Kailāshahar (99), Dharmanagar (99)

  9. 9

    🇹🇭Bueng Kan, Thailand

    2,800 sq mi7,400 km² matching 80% or better

    For example Seka (88)

  10. 10

    🇱🇦Vientiane, Laos

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

    For example Vang Vieng (88)

  11. 11

    🇱🇦Khammouane Province, Laos

    2,600 sq mi6,600 km² matching 80% or better

    For example Thakhèk (78)

  12. 12

    🇱🇦Bolikhamsai, Laos

    2,600 sq mi6,600 km² matching 80% or better

    For example Pakxan (92), Borikhan (92)

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

    🇧🇩HabiganjSylhet Division, Bangladesh

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

    Shares 18 of your 19 great-fit crops · Also great there: citrus, avocado, macadamia

    99%match
  2. 2

    🇮🇳KarīmganjAssam, India

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

    Shares 16 of your 19 great-fit crops

    99%match
  3. 3

    🇮🇳SilcharAssam, India

    Zone 11a · No frost · 0 chill hours · 92 in rainZone 11a · No frost · 0 chill hours · 2,336 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: citrus, avocado

    99%match
  4. 4

    🇮🇳DharmanagarTripura, India

    Zone 11a · No frost · 0 chill hours · 91 in rainZone 11a · No frost · 0 chill hours · 2,318 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: citrus, avocado, macadamia

    99%match
  5. 5

    🇮🇳BongaigaonAssam, India

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

    Shares 18 of your 19 great-fit crops

    99%match
  6. 6

    🇧🇩ComillaChittagong, Bangladesh

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

    Shares 18 of your 19 great-fit crops · Also great there: citrus, avocado, macadamia

    98%match
  7. 7

    🇮🇳BarpetaAssam, India

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

    Shares 18 of your 19 great-fit crops · Also great there: macadamia, citrus, avocado

    98%match
  8. 8

    🇮🇳GoyerkātaWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 143 in rainZone 11a · No frost · 0 chill hours · 3,621 mm rain

    Shares 15 of your 19 great-fit crops

    98%match
  9. 9

    🇧🇩NarayanganjDhaka Division, Bangladesh

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

    Shares 17 of your 19 great-fit crops · Also great there: citrus, avocado

    97%match
  10. 10

    🇮🇳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 19 great-fit crops · Also great there: citrus, avocado

    97%match
  11. 11

    🇮🇳ĀmbāsaTripura, India

    Zone 11a · No frost · 2 chill hours · 79 in rainZone 11a · No frost · 2 chill hours · 2,017 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: citrus, avocado, macadamia

    97%match
  12. 12

    🇧🇩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 19 great-fit crops

    97%match
  13. 13

    🇮🇳ResubelparaMeghalaya, India

    Zone 11a · No frost · 0 chill hours · 118 in rainZone 11a · No frost · 0 chill hours · 2,992 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: macadamia

    97%match
  14. 14

    🇧🇩MymensinghMymensingh Division, Bangladesh

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

    Shares 16 of your 19 great-fit crops · Also great there: citrus, avocado, macadamia

    97%match
  15. 15

    🇧🇩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 19 great-fit crops · Also great there: citrus, avocado

    96%match
  16. 16

    🇧🇩ChāndpurChittagong, Bangladesh

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

    Shares 16 of your 19 great-fit crops · Also great there: citrus, avocado, macadamia

    96%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 17 of your 19 great-fit crops · Also great there: citrus, avocado

    96%match
  18. 18

    🇧🇩ChhāgalnāiyaChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 97 in rainZone 11a · No frost · 0 chill hours · 2,458 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: citrus, avocado

    96%match
  19. 19

    🇧🇩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 19 great-fit crops · Also great there: citrus, avocado

    96%match
  20. 20

    🇮🇳RangāpāraAssam, India

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

    Shares 18 of your 19 great-fit crops · Also great there: citrus, avocado

    95%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 Sunāmganj: 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.