Climatch

Land with a climate like Sylhet

🇧🇩Sylhet, Sylhet Division, Bangladesh

The towns with the closest growing climate to Sylhet are Silchar, India (99% match), Bongaigaon and Jaigaon. About 124,000 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 Sylhet are Silchar, India (99% match), Bongaigaon and Jaigaon. About 322,000 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 · 148 in rainZone 11a · No frost · 0 chill hours · 3,770 mm rain

What grows in Sylhet →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    28k sq mi71k km² matching 80% or better

    For example Silchar (99), Barpeta Road (97)

  2. 2

    🇧🇩Chittagong, Bangladesh

    13k sq mi33k km² matching 80% or better

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

  3. 3

    🇲🇲Kachin State, Myanmar

    9,200 sq mi24k km² matching 80% or better

    For example Danai (86), Myitkyina (85)

  4. 4

    🇧🇩Khulna Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Kālia (91), Uttar Char Fasson (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

    6,200 sq mi16k km² matching 80% or better

    For example Hāsimāra (97), Goyerkāta (97)

  7. 7

    🇮🇳Tripura, India

    5,700 sq mi15k km² matching 80% or better

    For example Āmbāsa (94), Kanchanpur (94)

  8. 8

    🇲🇲Sagaing Region, Myanmar

    4,900 sq mi13k km² matching 80% or better

    For example Tamu (88), Tatkon (84)

  9. 9

    🇹🇭Bueng Kan, Thailand

    2,000 sq mi5,200 km² matching 80% or better

    For example Seka (82)

  10. 10

    🇱🇦Bolikhamsai, Laos

    2,000 sq mi5,100 km² matching 80% or better

    For example Borikhan (89), Pakxan (89)

  11. 11

    🇱🇦Vientiane, Laos

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

    For example Vang Vieng (89)

  12. 12

    🇳🇵Koshi, Nepal

    1,100 sq mi2,800 km² matching 80% or better

    For example Bhadrapur (83), Ilām (81)

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

    🇮🇳SilcharAssam, India

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

    Shares 13 of your 14 great-fit crops · Also great there: mango, sugarcane, cassava

    99%match
  2. 2

    🇮🇳BongaigaonAssam, India

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

    Shares 14 of your 14 great-fit crops · Also great there: mango, sugarcane, banana

    97%match
  3. 3

    🇮🇳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 14 great-fit crops · Also great there: banana, tea

    95%match
  4. 4

    🇧🇩NarayanganjDhaka Division, Bangladesh

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

    Shares 13 of your 14 great-fit crops · Also great there: mango, sugarcane, cassava

    94%match
  5. 5

    🇮🇳DhupgāriWest Bengal, India

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

    Shares 13 of your 14 great-fit crops · Also great there: mango, sugarcane

    94%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 13 of your 14 great-fit crops · Also great there: mango, sugarcane, cassava

    94%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 13 of your 14 great-fit crops · Also great there: mango, sugarcane, cassava

    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 13 of your 14 great-fit crops · Also great there: sugarcane, mango, citrus

    94%match
  9. 9

    🇮🇳KhowaiTripura, India

    Zone 10b · No frost · 3 chill hours · 77 in rainZone 10b · No frost · 3 chill hours · 1,957 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: sugarcane, mango, citrus

    94%match
  10. 10

    🇧🇩MaijdiChittagong, Bangladesh

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

    Shares 12 of your 14 great-fit crops · Also great there: mango, sugarcane, cassava

    93%match
  11. 11

    🇧🇩MadaripurDhaka Division, Bangladesh

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

    Shares 13 of your 14 great-fit crops · Also great there: mango, sugarcane, cassava

    93%match
  12. 12

    🇧🇩DhakaDhaka Division, Bangladesh

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

    Shares 12 of your 14 great-fit crops · Also great there: mango, sugarcane, cassava

    93%match
  13. 13

    🇧🇩GafargaonMymensingh Division, Bangladesh

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

    Shares 13 of your 14 great-fit crops · Also great there: mango, sugarcane, cassava

    93%match
  14. 14

    🇮🇳RangāpāraAssam, India

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

    Shares 13 of your 14 great-fit crops · Also great there: sugarcane, mango, cassava

    93%match
  15. 15

    🇧🇩FarīdpurDhaka Division, Bangladesh

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

    Shares 13 of your 14 great-fit crops · Also great there: sugarcane, mango, citrus

    93%match
  16. 16

    🇮🇳JorhatAssam, India

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

    Shares 14 of your 14 great-fit crops · Also great there: sugarcane, mango, citrus

    93%match
  17. 17

    🇮🇳NaharlagunArunachal Pradesh, India

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

    Shares 14 of your 14 great-fit crops · Also great there: sugarcane, mango, tea

    92%match
  18. 18

    🇮🇳BilāsipāraAssam, India

    Zone 11a · No frost · 0 chill hours · 121 in rainZone 11a · No frost · 0 chill hours · 3,081 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: mango, sugarcane, cassava

    92%match
  19. 19

    🇮🇳ResubelparaMeghalaya, India

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

    Shares 13 of your 14 great-fit crops · Also great there: mango, sugarcane, cassava

    92%match
  20. 20

    🇧🇩ChāndpurChittagong, Bangladesh

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

    Shares 11 of your 14 great-fit crops · Also great there: mango, sugarcane, cassava

    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 Sylhet: 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.