Climatch

Land with a climate like Mae Sai

🇹🇭Mae Sai, Chiang Rai, Thailand

The towns with the closest growing climate to Mae Sai are Bhamo, Myanmar (96% match), Shwegu and Dok Kham Tai. About 581,000 sq mi of land in 21 countries matches 80% or better, most of it in Mato Grosso, Brazil, Odisha, India and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Mae Sai are Bhamo, Myanmar (96% match), Shwegu and Dok Kham Tai. About 1.5 million km² of land in 21 countries matches 80% or better, most of it in Mato Grosso, Brazil, Odisha, India and Mato Grosso do Sul, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 68 in rainZone 11b · No frost · 0 chill hours · 1,732 mm rain

What grows in Mae Sai →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    45k sq mi116k km² matching 80% or better

    For example Lucas (90), Poconé (89)

  2. 2

    🇮🇳Odisha, India

    30k sq mi78k km² matching 80% or better

    For example Rāyagada (91), Chandili (90)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    30k sq mi77k km² matching 80% or better

    For example Coxim (88), Rio Verde de Mato Grosso (84)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    20k sq mi52k km² matching 80% or better

    For example Kalemyo (94), Kyauktan (93)

  5. 5

    🇧🇴Santa Cruz Department, Bolivia

    14k sq mi36k km² matching 80% or better

    For example San Ignacio de Velasco (86), Ascención de Guarayos (81)

  6. 6

    🇧🇩Chittagong, Bangladesh

    13k sq mi34k km² matching 80% or better

    For example Bāndarban (89), Raojān (89)

  7. 7

    🇮🇳West Bengal, India

    13k sq mi34k km² matching 80% or better

    For example Bangaon (88), Rajpur Sonarpur (87)

  8. 8

    🇲🇲Kachin State, Myanmar

    9,500 sq mi25k km² matching 80% or better

    For example Bhamo (96), Shwegu (96)

  9. 9

    🇲🇲Shan State, Myanmar

    9,200 sq mi24k km² matching 80% or better

    For example Hsipaw (93), Möng Yawng (93)

  10. 10

    🇧🇷Goiás, Brazil

    9,100 sq mi24k km² matching 80% or better

    For example Itumbiara (83), São Simão (82)

  11. 11

    🇧🇩Dhaka Division, Bangladesh

    7,100 sq mi18k km² matching 80% or better

    For example Farīdpur (89), Dhaka (87)

  12. 12

    🇲🇿Sofala, Mozambique

    6,500 sq mi17k km² matching 80% or better

    For example Dondo (83), Búzi (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

    🇲🇲BhamoKachin State, Myanmar

    Zone 11a · No frost · 4 chill hours · 61 in rainZone 11a · No frost · 4 chill hours · 1,546 mm rain

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

    96%match
  2. 2

    🇲🇲ShweguKachin State, Myanmar

    Zone 11a · No frost · 2 chill hours · 57 in rainZone 11a · No frost · 2 chill hours · 1,457 mm rain

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

    96%match
  3. 3

    🇹🇭Dok Kham TaiPhayao, Thailand

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,063 mm rain

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

    96%match
  4. 4

    🇹🇭NanThailand

    Zone 11b · No frost · 0 chill hours · 44 in rainZone 11b · No frost · 0 chill hours · 1,129 mm rain

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

    95%match
  5. 5

    🇹🇭Chiang MaiThailand

    Zone 11b · No frost · 0 chill hours · 41 in rainZone 11b · No frost · 0 chill hours · 1,051 mm rain

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

    94%match
  6. 6

    🇹🇭PhraeThailand

    Zone 11b · No frost · 0 chill hours · 44 in rainZone 11b · No frost · 0 chill hours · 1,121 mm rain

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

    94%match
  7. 7

    🇲🇲KalemyoSagaing Region, Myanmar

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

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

    94%match
  8. 8

    🇹🇭LampangThailand

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,060 mm rain

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

    94%match
  9. 9

    🇲🇲HsipawShan State, Myanmar

    Zone 10b · No frost · 6 chill hours · 50 in rainZone 10b · No frost · 6 chill hours · 1,273 mm rain

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

    93%match
  10. 10

    🇲🇲Möng YawngShan State, Myanmar

    Zone 11a · No frost · 0 chill hours · 62 in rainZone 11a · No frost · 0 chill hours · 1,577 mm rain

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

    93%match
  11. 11

    🇲🇲KyauktanSagaing Region, Myanmar

    Zone 11a · No frost · 1 chill hours · 59 in rainZone 11a · No frost · 1 chill hours · 1,501 mm rain

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

    93%match
  12. 12

    🇲🇲KathaSagaing Region, Myanmar

    Zone 11a · No frost · 1 chill hours · 57 in rainZone 11a · No frost · 1 chill hours · 1,454 mm rain

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

    93%match
  13. 13

    🇹🇭LoeiThailand

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,197 mm rain

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

    93%match
  14. 14

    🇱🇦Luang PrabangLuang Prabang Province, Laos

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,275 mm rain

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

    93%match
  15. 15

    🇹🇭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

    92%match
  16. 16

    🇲🇲MawlaikSagaing Region, Myanmar

    Zone 11a · No frost · 0 chill hours · 73 in rainZone 11a · No frost · 0 chill hours · 1,856 mm rain

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

    92%match
  17. 17

    🇱🇦Vang ViengVientiane, Laos

    Zone 11b · No frost · 0 chill hours · 118 in rainZone 11b · No frost · 0 chill hours · 3,005 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: tea, banana, macadamia

    91%match
  18. 18

    🇹🇭UttaraditThailand

    Zone 12a · No frost · 0 chill hours · 54 in rainZone 12a · No frost · 0 chill hours · 1,366 mm rain

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

    91%match
  19. 19

    🇱🇦Muang SingLoungnamtha, Laos

    Zone 11a · No frost · 1 chill hours · 67 in rainZone 11a · No frost · 1 chill hours · 1,706 mm rain

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

    91%match
  20. 20

    🇱🇦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

    91%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 Mae Sai: 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.