Climatch

Land with a climate like Huai Yot

🇹🇭Huai Yot, Trang, Thailand

The towns with the closest growing climate to Huai Yot are Sadao, Thailand (99% match), Surat Thani and Lang Suan. About 1.4 million sq mi of land in 50 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Central Kalimantan, Indonesia.The towns with the closest growing climate to Huai Yot are Sadao, Thailand (99% match), Surat Thani and Lang Suan. About 3.6 million km² of land in 50 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Central Kalimantan, Indonesia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 81 in rainZone 13a · No frost · 0 chill hours · 2,057 mm rain

What grows in Huai Yot →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    69k sq mi179k km² matching 80% or better

    For example Maués (86), Novo Airão (86)

  2. 2

    🇧🇷Pará, Brazil

    63k sq mi163k km² matching 80% or better

    For example Bujaru (87), Acará (87)

  3. 3

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi69k km² matching 80% or better

    For example Kualakapuas (93), Palangkaraya (92)

  4. 4

    🇲🇾Sabah, Malaysia

    21k sq mi55k km² matching 80% or better

    For example Kota Kinabalu (94), Petagas (93)

  5. 5

    🇻🇪Bolívar, Venezuela

    20k sq mi51k km² matching 80% or better

    For example Tumeremo (84), El Dorado (83)

  6. 6

    🇮🇩South Sumatra, Indonesia

    18k sq mi46k km² matching 80% or better

    For example Palembang (89), Baturaja (89)

  7. 7

    🇮🇩Central Sulawesi, Indonesia

    18k sq mi46k km² matching 80% or better

    For example Poso (93), Bungku (91)

  8. 8

    🇨🇴Antioquia, Colombia

    17k sq mi45k km² matching 80% or better

    For example Apartadó (97), Chigorodó (97)

  9. 9

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi38k km² matching 80% or better

    For example Pagaluñgan (88), Budta (88)

  10. 10

    🇵🇭Mimaropa, Philippines

    14k sq mi37k km² matching 80% or better

    For example Jose Rizal (92), Brookes Point (92)

  11. 11

    🇨🇩Tshopo, Democratic Republic of the Congo

    13k sq mi34k km² matching 80% or better

    For example Basoko (88), Kisangani (82)

  12. 12

    🇵🇭Zamboanga Peninsula, Philippines

    11k sq mi29k km² matching 80% or better

    For example Ipil (89), Siocon (87)

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

    🇹🇭SadaoSongkhla, Thailand

    Zone 13b · No frost · 0 chill hours · 76 in rainZone 13b · No frost · 0 chill hours · 1,931 mm rain

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

    99%match
  2. 2

    🇹🇭Surat ThaniThailand

    Zone 13a · No frost · 0 chill hours · 68 in rainZone 13a · No frost · 0 chill hours · 1,730 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  3. 3

    🇹🇭Lang SuanChumphon, Thailand

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,923 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  4. 4

    🇹🇭YalaThailand

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,966 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  5. 5

    🇹🇭ChumphonThailand

    Zone 13a · No frost · 0 chill hours · 79 in rainZone 13a · No frost · 0 chill hours · 1,999 mm rain

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

    98%match
  6. 6

    🇹🇭KrabiThailand

    Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,120 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  7. 7

    🇹🇭Nakhon Si ThammaratThailand

    Zone 13b · No frost · 0 chill hours · 90 in rainZone 13b · No frost · 0 chill hours · 2,276 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  8. 8

    🇹🇭Hat YaiSongkhla, Thailand

    Zone 13b · No frost · 0 chill hours · 74 in rainZone 13b · No frost · 0 chill hours · 1,879 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  9. 9

    🇹🇭NarathiwatThailand

    Zone 13b · No frost · 0 chill hours · 92 in rainZone 13b · No frost · 0 chill hours · 2,348 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  10. 10

    🇮🇩Polewali↻Seasons flipped. West Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,041 mm rain

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

    97%match
  11. 11

    🇨🇴ApartadóAntioquia, Colombia

    Zone 13b · No frost · 0 chill hours · 90 in rainZone 13b · No frost · 0 chill hours · 2,282 mm rain

    Shares 17 of your 17 great-fit crops

    97%match
  12. 12

    🇹🇭RanotSongkhla, Thailand

    Zone 13b · No frost · 0 chill hours · 82 in rainZone 13b · No frost · 0 chill hours · 2,087 mm rain

    Shares 17 of your 17 great-fit crops

    97%match
  13. 13

    🇮🇩Majene↻Seasons flipped. West Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 72 in rainZone 13b · No frost · 0 chill hours · 1,819 mm rain

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

    97%match
  14. 14

    🇱🇰KurunegalaNorth Western Province, Sri Lanka

    Zone 13a · No frost · 0 chill hours · 89 in rainZone 13a · No frost · 0 chill hours · 2,266 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: macadamia, strawberry

    96%match
  15. 15

    🇹🇭PhuketThailand

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,353 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  16. 16

    🇨🇴CimitarraSantander Department, Colombia

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,501 mm rain

    Shares 16 of your 17 great-fit crops

    96%match
  17. 17

    🇮🇩Kendari↻Seasons flipped. Southeast Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 82 in rainZone 13b · No frost · 0 chill hours · 2,090 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  18. 18

    🇵🇦DavidChiriquí Province, Panama

    Zone 13a · No frost · 0 chill hours · 105 in rainZone 13a · No frost · 0 chill hours · 2,664 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: macadamia, strawberry

    96%match
  19. 19

    🇮🇩Parepare↻Seasons flipped. South Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,023 mm rain

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

    96%match
  20. 20

    🇲🇾GerikPerak, Malaysia

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,467 mm rain

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

    95%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 Huai Yot: 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.