Climatch

Land with a climate like Chiang Rai

🇹🇭Chiang Rai, Thailand

The towns with the closest growing climate to Chiang Rai are Ban Houakhoua, Laos (99% match), Dok Kham Tai and Nan. About 603,000 sq mi of land in 22 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 Chiang Rai are Ban Houakhoua, Laos (99% match), Dok Kham Tai and Nan. About 1.6 million km² of land in 22 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 · 51 in rainZone 11b · No frost · 0 chill hours · 1,306 mm rain

What grows in Chiang Rai →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    40k sq mi104k km² matching 80% or better

    For example Lucas (90), Poconé (90)

  2. 2

    🇮🇳Odisha, India

    30k sq mi77k km² matching 80% or better

    For example Chandili (92), Rāyagada (92)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    28k sq mi72k km² matching 80% or better

    For example Coxim (87), Ladário (87)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    20k sq mi53k km² matching 80% or better

    For example Katha (93), Kalemyo (92)

  5. 5

    🇧🇴Santa Cruz Department, Bolivia

    18k sq mi47k km² matching 80% or better

    For example San Ignacio de Velasco (88), Ascención de Guarayos (82)

  6. 6

    🇮🇳West Bengal, India

    13k sq mi35k km² matching 80% or better

    For example Bangaon (86), Singur (86)

  7. 7

    🇲🇲Mandalay Region, Myanmar

    11k sq mi29k km² matching 80% or better

    For example Yamethin (92), Pyawbwe (85)

  8. 8

    🇧🇷Maranhão, Brazil

    8,900 sq mi23k km² matching 80% or better

    For example Mirador (82), São João dos Patos (82)

  9. 9

    🇲🇲Bago Region, Myanmar

    8,200 sq mi21k km² matching 80% or better

    For example Yedashe (82), Pyu (79)

  10. 10

    🇹🇭Nakhon Ratchasima, Thailand

    8,100 sq mi21k km² matching 80% or better

    For example Chok Chai (88), Khon Buri (87)

  11. 11

    🇮🇳Andhra Pradesh, India

    7,700 sq mi20k km² matching 80% or better

    For example Sālūr (89), Pārvatipuram (88)

  12. 12

    🇲🇿Sofala, Mozambique

    7,100 sq mi18k km² matching 80% or better

    For example Búzi (82), Dondo (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

    🇱🇦Ban HouakhouaBokeo, Laos

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,644 mm rain

    Shares 14 of your 15 great-fit crops

    99%match
  2. 2

    🇹🇭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 15 of your 15 great-fit crops

    99%match
  3. 3

    🇹🇭NanThailand

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

    Shares 15 of your 15 great-fit crops

    99%match
  4. 4

    🇹🇭PhraeThailand

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

    Shares 15 of your 15 great-fit crops

    99%match
  5. 5

    🇹🇭LampangThailand

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

    Shares 15 of your 15 great-fit crops

    98%match
  6. 6

    🇹🇭Chiang MaiThailand

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

    Shares 15 of your 15 great-fit crops

    98%match
  7. 7

    🇹🇭LoeiThailand

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

    Shares 15 of your 15 great-fit crops

    97%match
  8. 8

    🇹🇭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 15 of your 15 great-fit crops

    96%match
  9. 9

    🇲🇲ShweguKachin State, Myanmar

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

    Shares 15 of your 15 great-fit crops · Also great there: avocado, wheat, barley

    94%match
  10. 10

    🇹🇭UttaraditThailand

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

    Shares 15 of your 15 great-fit crops

    94%match
  11. 11

    🇲🇲BhamoKachin State, Myanmar

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

    Shares 14 of your 15 great-fit crops · Also great there: avocado, wheat, barley

    94%match
  12. 12

    🇹🇭ThoenLampang, Thailand

    Zone 12a · No frost · 0 chill hours · 39 in rainZone 12a · No frost · 0 chill hours · 987 mm rain

    Shares 15 of your 15 great-fit crops

    93%match
  13. 13

    🇱🇦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 15 of your 15 great-fit crops · Also great there: avocado, wheat

    93%match
  14. 14

    🇲🇲KathaSagaing Region, Myanmar

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

    Shares 15 of your 15 great-fit crops · Also great there: avocado, wheat, barley

    93%match
  15. 15

    🇲🇲KalemyoSagaing Region, Myanmar

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

    Shares 14 of your 15 great-fit crops · Also great there: wheat, canola (rapeseed), barley

    92%match
  16. 16

    🇮🇳RāyagadaOdisha, India

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,574 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: wheat, date palm, canola (rapeseed)

    92%match
  17. 17

    🇹🇭Nong Bua LamphuThailand

    Zone 12a · No frost · 0 chill hours · 43 in rainZone 12a · No frost · 0 chill hours · 1,084 mm rain

    Shares 15 of your 15 great-fit crops

    92%match
  18. 18

    🇱🇦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 15 great-fit crops

    92%match
  19. 19

    🇲🇲YamethinMandalay Region, Myanmar

    Zone 11b · No frost · 0 chill hours · 37 in rainZone 11b · No frost · 0 chill hours · 947 mm rain

    Shares 15 of your 15 great-fit crops

    92%match
  20. 20

    🇹🇭Phu KraduengLoei, Thailand

    Zone 12a · No frost · 0 chill hours · 43 in rainZone 12a · No frost · 0 chill hours · 1,083 mm rain

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

    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 Chiang Rai: 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.