Climatch

Land with a climate like Silchar

🇮🇳Silchar, Assam, India

The towns with the closest growing climate to Silchar are Dharmanagar, India (99% match), Habiganj and Sunāmganj. About 182,000 sq mi of land in 8 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and West Bengal, India.The towns with the closest growing climate to Silchar are Dharmanagar, India (99% match), Habiganj and Sunāmganj. About 471,000 km² of land in 8 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and West Bengal, India.

Your growing climate

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

What grows in Silchar →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    29k sq mi76k km² matching 80% or better

    For example Biswanath Chariali (98), Tezpur (97)

  2. 2

    🇲🇲Kachin State, Myanmar

    17k sq mi43k km² matching 80% or better

    For example Myitkyina (94), Mogaung (93)

  3. 3

    🇮🇳West Bengal, India

    13k sq mi35k km² matching 80% or better

    For example Hāsimāra (94), Birpara (94)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    12k sq mi32k km² matching 80% or better

    For example Tamu (95), Tatkon (93)

  5. 5

    🇧🇩Chittagong, Bangladesh

    12k sq mi30k km² matching 80% or better

    For example Shāhbāzpur Town (99), Brāhmanbāria (99)

  6. 6

    🇧🇩Khulna Division, Bangladesh

    8,800 sq mi23k km² matching 80% or better

    For example Narail (96), Kālia (96)

  7. 7

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Bājitpur (99), Bhairab Bāzār (98)

  8. 8

    🇮🇳Tripura, India

    5,700 sq mi15k km² matching 80% or better

    For example Dharmanagar (99), Kailāshahar (99)

  9. 9

    🇱🇦Bokeo, Laos

    3,600 sq mi9,400 km² matching 80% or better

    For example Ban Khoan (84), Ban Houakhoua (84)

  10. 10

    🇱🇦Vientiane, Laos

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

    For example Vang Vieng (90)

  11. 11

    🇹🇭Loei, Thailand

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

    For example Loei (81), Wang Saphung (78)

  12. 12

    🇹🇭Bueng Kan, Thailand

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

    For example Seka (87)

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

    🇮🇳DharmanagarTripura, India

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

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

    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 19 of your 19 great-fit crops · Also great there: macadamia, tea

    99%match
  3. 3

    🇧🇩SunāmganjSylhet Division, Bangladesh

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

    Shares 17 of your 19 great-fit crops · Also great there: tea, potato

    99%match
  4. 4

    🇮🇳AgartalaTripura, India

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

    Shares 19 of your 19 great-fit crops

    99%match
  5. 5

    🇧🇩SylhetSylhet Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 148 in rainZone 11a · No frost · 0 chill hours · 3,770 mm rain

    Shares 13 of your 19 great-fit crops · Also great there: potato

    99%match
  6. 6

    🇧🇩NarsingdiDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 88 in rainZone 11a · No frost · 0 chill hours · 2,224 mm rain

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

    98%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 19 of your 19 great-fit crops · Also great there: macadamia, tea

    98%match
  8. 8

    🇧🇩KishorganjDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 92 in rainZone 11a · No frost · 0 chill hours · 2,331 mm rain

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

    98%match
  9. 9

    🇮🇳BarpetaAssam, India

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

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

    97%match
  10. 10

    🇮🇳DimāpurNagaland, India

    Zone 10b · No frost · 11 chill hours · 62 in rainZone 10b · No frost · 11 chill hours · 1,581 mm rain

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

    97%match
  11. 11

    🇧🇩FarīdpurDhaka Division, Bangladesh

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

    Shares 18 of your 19 great-fit crops

    97%match
  12. 12

    🇧🇩NarayanganjDhaka Division, Bangladesh

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

    Shares 19 of your 19 great-fit crops

    97%match
  13. 13

    🇮🇳GuwahatiAssam, India

    Zone 11a · No frost · 0 chill hours · 68 in rainZone 11a · No frost · 0 chill hours · 1,739 mm rain

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

    97%match
  14. 14

    🇮🇳NalbāriAssam, India

    Zone 11a · No frost · 0 chill hours · 88 in rainZone 11a · No frost · 0 chill hours · 2,234 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: macadamia, potato, tea

    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 18 of your 19 great-fit crops

    96%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 19 of your 19 great-fit crops · Also great there: potato, tea, macadamia

    96%match
  17. 17

    🇮🇳HojāiAssam, India

    Zone 10b · No frost · 5 chill hours · 58 in rainZone 10b · No frost · 5 chill hours · 1,466 mm rain

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

    96%match
  18. 18

    🇧🇩MadaripurDhaka Division, Bangladesh

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

    Shares 19 of your 19 great-fit crops

    96%match
  19. 19

    🇧🇩NāgarpurDhaka Division, Bangladesh

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

    Shares 18 of your 19 great-fit crops

    96%match
  20. 20

    🇮🇳MangaldaiAssam, India

    Zone 11a · No frost · 0 chill hours · 67 in rainZone 11a · No frost · 0 chill hours · 1,696 mm rain

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

    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 Silchar: 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.