Climatch

Land with a climate like Tāki

🇮🇳Tāki, West Bengal, India

The towns with the closest growing climate to Tāki are Bagerhat, Bangladesh (99% match), Narail and Kālīganj. About 230,000 sq mi of land in 9 countries matches 80% or better, most of it in West Bengal, India, Odisha, India and Assam, India.The towns with the closest growing climate to Tāki are Bagerhat, Bangladesh (99% match), Narail and Kālīganj. About 597,000 km² of land in 9 countries matches 80% or better, most of it in West Bengal, India, Odisha, India and Assam, India.

Your growing climate

Zone 11a · No frost · 0 chill hours · 68 in rainZone 11a · No frost · 0 chill hours · 1,727 mm rain

What grows in Tāki →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    30k sq mi78k km² matching 80% or better

    For example Budge Budge (99), Fort Gloster (99)

  2. 2

    🇮🇳Odisha, India

    25k sq mi65k km² matching 80% or better

    For example Balasore (99), Bāsudebpur (98)

  3. 3

    🇮🇳Assam, India

    16k sq mi42k km² matching 80% or better

    For example Hojāi (91), Silchar (90)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    14k sq mi37k km² matching 80% or better

    For example Tatkon (93), Tamu (91)

  5. 5

    🇧🇩Chittagong, Bangladesh

    13k sq mi34k km² matching 80% or better

    For example Comilla (97), Lākshām (97)

  6. 6

    🇲🇲Kachin State, Myanmar

    10k sq mi26k km² matching 80% or better

    For example Mogaung (91), Shwegu (89)

  7. 7

    🇧🇩Khulna Division, Bangladesh

    9,100 sq mi24k km² matching 80% or better

    For example Bagerhat (99), Narail (99)

  8. 8

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Tungipara (99), Farīdpur (98)

  9. 9

    🇹🇭Udon Thani, Thailand

    4,300 sq mi11k km² matching 80% or better

    For example Ban Dung (87), Nam Som (85)

  10. 10

    🇹🇭Nakhon Ratchasima, Thailand

    3,800 sq mi9,700 km² matching 80% or better

    For example Khon Buri (84), Pak Chong (83)

  11. 11

    🇹🇭Sakon Nakhon, Thailand

    2,900 sq mi7,400 km² matching 80% or better

    For example Sawang Daen Din (86), Warichaphum (84)

  12. 12

    🇱🇦Savannakhet Province, Laos

    2,600 sq mi6,700 km² matching 80% or better

    For example Ban Xénô (80), Savannakhet (78)

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

    🇧🇩BagerhatKhulna Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 81 in rainZone 11a · No frost · 0 chill hours · 2,047 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, canola (rapeseed)

    99%match
  2. 2

    🇧🇩NarailKhulna Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 75 in rainZone 11a · No frost · 0 chill hours · 1,895 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: canola (rapeseed)

    99%match
  3. 3

    🇧🇩KālīganjKhulna Division, Bangladesh

    Zone 11a · No frost · 1 chill hours · 67 in rainZone 11a · No frost · 1 chill hours · 1,702 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: canola (rapeseed)

    99%match
  4. 4

    🇮🇳UluberiyaWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 64 in rainZone 11a · No frost · 0 chill hours · 1,623 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: date palm

    99%match
  5. 5

    🇧🇩MathbaBarisal Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 97 in rainZone 11a · No frost · 0 chill hours · 2,453 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: canola (rapeseed), avocado

    99%match
  6. 6

    🇮🇳BalasoreOdisha, India

    Zone 11b · No frost · 0 chill hours · 67 in rainZone 11b · No frost · 0 chill hours · 1,711 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: date palm, canola (rapeseed)

    99%match
  7. 7

    🇧🇩PābnaRajshahi Division, Bangladesh

    Zone 10b · No frost · 2 chill hours · 67 in rainZone 10b · No frost · 2 chill hours · 1,700 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: canola (rapeseed), avocado

    98%match
  8. 8

    🇧🇩PatuakhaliBarisal Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 104 in rainZone 11a · No frost · 0 chill hours · 2,641 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: canola (rapeseed)

    98%match
  9. 9

    🇧🇩BarishalBarisal Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,269 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, canola (rapeseed)

    98%match
  10. 10

    🇮🇳HaldiaWest Bengal, India

    Zone 11b · No frost · 0 chill hours · 68 in rainZone 11b · No frost · 0 chill hours · 1,735 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: date palm, avocado, canola (rapeseed)

    98%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 16 of your 16 great-fit crops · Also great there: canola (rapeseed), avocado

    98%match
  12. 12

    🇧🇩MadaripurDhaka Division, Bangladesh

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

    Shares 16 of your 16 great-fit crops · Also great there: avocado, banana, canola (rapeseed)

    98%match
  13. 13

    🇧🇩ComillaChittagong, Bangladesh

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

    Shares 16 of your 16 great-fit crops · Also great there: avocado, canola (rapeseed), banana

    97%match
  14. 14

    🇧🇩NāgarpurDhaka Division, Bangladesh

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

    Shares 16 of your 16 great-fit crops · Also great there: avocado, canola (rapeseed)

    97%match
  15. 15

    🇧🇩SirajganjRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,784 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: avocado, canola (rapeseed)

    97%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 15 of your 16 great-fit crops · Also great there: avocado, macadamia, banana

    97%match
  17. 17

    🇧🇩Uttar Char FassonKhulna Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 113 in rainZone 11a · No frost · 0 chill hours · 2,858 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: canola (rapeseed)

    96%match
  18. 18

    🇧🇩DhakaDhaka Division, Bangladesh

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

    Shares 15 of your 16 great-fit crops · Also great there: avocado, banana, canola (rapeseed)

    96%match
  19. 19

    🇮🇳BhadrakOdisha, India

    Zone 11b · No frost · 0 chill hours · 69 in rainZone 11b · No frost · 0 chill hours · 1,756 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: date palm, canola (rapeseed)

    96%match
  20. 20

    🇧🇩ChattogramChittagong, Bangladesh

    Zone 11b · No frost · 0 chill hours · 110 in rainZone 11b · No frost · 0 chill hours · 2,785 mm rain

    Shares 14 of your 16 great-fit crops

    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 Tāki: 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.