Climatch

Land with a climate like Seka

🇹🇭Seka, Bueng Kan, Thailand

The towns with the closest growing climate to Seka are Ban Dung, Thailand (99% match), Thakhèk and Warichaphum. About 293,000 sq mi of land in 10 countries matches 80% or better, most of it in West Bengal, India, Assam, India and Sagaing Region, Myanmar.The towns with the closest growing climate to Seka are Ban Dung, Thailand (99% match), Thakhèk and Warichaphum. About 760,000 km² of land in 10 countries matches 80% or better, most of it in West Bengal, India, Assam, India and Sagaing Region, Myanmar.

Your growing climate

Zone 11b · No frost · 0 chill hours · 82 in rainZone 11b · No frost · 0 chill hours · 2,092 mm rain

What grows in Seka →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    22k sq mi56k km² matching 80% or better

    For example Naksalbāri (92), Bagdogra (92)

  2. 2

    🇮🇳Assam, India

    19k sq mi48k km² matching 80% or better

    For example Nagaon (92), Morigaon (92)

  3. 3

    🇲🇲Sagaing Region, Myanmar

    14k sq mi37k km² matching 80% or better

    For example Tatkon (88), Tamu (88)

  4. 4

    🇧🇩Chittagong, Bangladesh

    13k sq mi34k km² matching 80% or better

    For example Lākshām (94), Hājīganj (94)

  5. 5

    🇲🇲Kachin State, Myanmar

    9,500 sq mi25k km² matching 80% or better

    For example Myitkyina (90), Mogaung (90)

  6. 6

    🇧🇩Khulna Division, Bangladesh

    9,100 sq mi24k km² matching 80% or better

    For example Kālia (92), Kālīganj (91)

  7. 7

    🇹🇭Nakhon Ratchasima, Thailand

    8,100 sq mi21k km² matching 80% or better

    For example Pak Chong (85), Khon Buri (85)

  8. 8

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Tungi (93), Bhatara (93)

  9. 9

    🇮🇳Tripura, India

    5,700 sq mi15k km² matching 80% or better

    For example Belonia (93), Udaipur (93)

  10. 10

    🇱🇦Savannakhet Province, Laos

    5,700 sq mi15k km² matching 80% or better

    For example Ban Xénô (95), Savannakhet (92)

  11. 11

    🇹🇭Phetchabun, Thailand

    5,400 sq mi14k km² matching 80% or better

    For example Lom Sak (88), Phetchabun (84)

  12. 12

    🇹🇭Udon Thani, Thailand

    5,400 sq mi14k km² matching 80% or better

    For example Ban Dung (99), Ban Nong Wua So (95)

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

    🇹🇭Ban DungUdon Thani, Thailand

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,625 mm rain

    Shares 15 of your 16 great-fit crops

    99%match
  2. 2

    🇱🇦ThakhèkKhammouane Province, Laos

    Zone 12a · No frost · 0 chill hours · 81 in rainZone 12a · No frost · 0 chill hours · 2,063 mm rain

    Shares 15 of your 16 great-fit crops

    98%match
  3. 3

    🇹🇭WarichaphumSakon Nakhon, Thailand

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,337 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: fig

    97%match
  4. 4

    🇱🇦VientianeVientiane Prefecture, Laos

    Zone 12a · No frost · 0 chill hours · 63 in rainZone 12a · No frost · 0 chill hours · 1,607 mm rain

    Shares 13 of your 16 great-fit crops

    97%match
  5. 5

    🇹🇭Sakon NakhonThailand

    Zone 12a · No frost · 0 chill hours · 57 in rainZone 12a · No frost · 0 chill hours · 1,444 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: fig

    96%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 16 of your 16 great-fit crops · Also great there: wheat, canola (rapeseed), banana

    93%match
  7. 7

    🇹🇭Nam SomUdon Thani, Thailand

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,192 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: fig

    93%match
  8. 8

    🇧🇩KhagrachhariChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,250 mm rain

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

    93%match
  9. 9

    🇹🇭Udon ThaniThailand

    Zone 12a · No frost · 0 chill hours · 52 in rainZone 12a · No frost · 0 chill hours · 1,315 mm rain

    Shares 13 of your 16 great-fit crops · Also great there: fig

    93%match
  10. 10

    🇧🇩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: wheat, banana, canola (rapeseed)

    93%match
  11. 11

    🇧🇩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 16 great-fit crops · Also great there: wheat, canola (rapeseed), barley

    93%match
  12. 12

    🇧🇩KishorganjDhaka Division, Bangladesh

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

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

    92%match
  13. 13

    🇧🇩FeniChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 102 in rainZone 11a · No frost · 0 chill hours · 2,579 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: wheat, banana, tea

    92%match
  14. 14

    🇧🇩MadaripurDhaka Division, Bangladesh

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

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

    92%match
  15. 15

    🇮🇳NagaonAssam, India

    Zone 11a · No frost · 0 chill hours · 64 in rainZone 11a · No frost · 0 chill hours · 1,613 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: wheat, barley, banana

    92%match
  16. 16

    🇧🇩NāgarpurDhaka Division, Bangladesh

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

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

    92%match
  17. 17

    🇧🇩MaijdiChittagong, Bangladesh

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

    Shares 13 of your 16 great-fit crops · Also great there: wheat, canola (rapeseed)

    92%match
  18. 18

    🇱🇦SavannakhetSavannakhet Province, Laos

    Zone 12a · No frost · 0 chill hours · 55 in rainZone 12a · No frost · 0 chill hours · 1,406 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: fig

    92%match
  19. 19

    🇧🇩SirajganjRajshahi Division, Bangladesh

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

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

    92%match
  20. 20

    🇹🇭Ban Phan DonUdon Thani, Thailand

    Zone 12a · No frost · 0 chill hours · 45 in rainZone 12a · No frost · 0 chill hours · 1,150 mm rain

    Shares 13 of your 16 great-fit crops · Also great there: fig

    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 Seka: 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.