Climatch

Land with a climate like Hailākāndi

🇮🇳Hailākāndi, Assam, India

The towns with the closest growing climate to Hailākāndi are Baniachang, Bangladesh (99% match), Habiganj and Sunāmganj. About 152,000 sq mi of land in 7 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and Chittagong, Bangladesh.The towns with the closest growing climate to Hailākāndi are Baniachang, Bangladesh (99% match), Habiganj and Sunāmganj. About 394,000 km² of land in 7 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and Chittagong, Bangladesh.

Your growing climate

Zone 11a · No frost · 0 chill hours · 107 in rainZone 11a · No frost · 0 chill hours · 2,712 mm rain

What grows in Hailākāndi →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    30k sq mi77k km² matching 80% or better

    For example Biswanath Chariali (97), Howli (97)

  2. 2

    🇲🇲Kachin State, Myanmar

    15k sq mi39k km² matching 80% or better

    For example Myitkyina (92), Mogaung (91)

  3. 3

    🇧🇩Chittagong, Bangladesh

    12k sq mi30k km² matching 80% or better

    For example Shāhbāzpur Town (98), Brāhmanbāria (98)

  4. 4

    🇮🇳West Bengal, India

    10k sq mi27k km² matching 80% or better

    For example Hāsimāra (95), Birpara (94)

  5. 5

    🇲🇲Sagaing Region, Myanmar

    10k sq mi26k km² matching 80% or better

    For example Tamu (93), Tatkon (91)

  6. 6

    🇧🇩Khulna Division, Bangladesh

    8,800 sq mi23k km² matching 80% or better

    For example Narail (94), Kālia (94)

  7. 7

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Bājitpur (97), Bhairab Bāzār (97)

  8. 8

    🇮🇳Tripura, India

    5,700 sq mi15k km² matching 80% or better

    For example Kanchanpur (99), Āmbāsa (99)

  9. 9

    🇱🇦Vientiane, Laos

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

    For example Vang Vieng (88)

  10. 10

    🇹🇭Bueng Kan, Thailand

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

    For example Seka (83)

  11. 11

    🇱🇦Bolikhamsai, Laos

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

    For example Pakxan (86), Borikhan (86)

  12. 12

    🇹🇭Nong Khai, Thailand

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

    For example Phon Charoen (85), Nong Khai (74)

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

    🇧🇩BaniachangSylhet Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 104 in rainZone 11a · No frost · 0 chill hours · 2,634 mm rain

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

    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: avocado, macadamia

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

    97%match
  5. 5

    🇧🇩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: avocado, macadamia

    97%match
  6. 6

    🇮🇳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, avocado

    97%match
  7. 7

    🇮🇳RangāpāraAssam, India

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

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

    96%match
  8. 8

    🇧🇩NarayanganjDhaka Division, Bangladesh

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

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

    96%match
  9. 9

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

    96%match
  10. 10

    🇮🇳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, macadamia, avocado

    95%match
  11. 11

    🇮🇳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: avocado

    95%match
  12. 12

    🇧🇩GafargaonMymensingh Division, Bangladesh

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

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

    95%match
  13. 13

    🇮🇳BongaigaonAssam, India

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

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

    95%match
  14. 14

    🇮🇳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: avocado, macadamia

    95%match
  15. 15

    🇧🇩MadaripurDhaka Division, Bangladesh

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

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

    94%match
  16. 16

    🇧🇩DhakaDhaka Division, Bangladesh

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

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

    94%match
  17. 17

    🇮🇳RangiaAssam, India

    Zone 11a · No frost · 0 chill hours · 82 in rainZone 11a · No frost · 0 chill hours · 2,076 mm rain

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

    94%match
  18. 18

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

    94%match
  19. 19

    🇧🇩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

    94%match
  20. 20

    🇮🇳NaharlagunArunachal Pradesh, India

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

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

    94%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 Hailākāndi: 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.