Climatch

Land with a climate like Betong, Thailand

🇹🇭Betong, Yala, Thailand

The towns with the closest growing climate to Betong, Thailand are Gua Musang, Malaysia (99% match), Kampung Jeli and Klebang Besar. About 3.0 million sq mi of land in 60 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Sarawak, Malaysia.The towns with the closest growing climate to Betong, Thailand are Gua Musang, Malaysia (99% match), Kampung Jeli and Klebang Besar. About 7.8 million km² of land in 60 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Sarawak, Malaysia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 92 in rainZone 13a · No frost · 0 chill hours · 2,331 mm rain

What grows in Betong, Thailand →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    177k sq mi459k km² matching 80% or better

    For example Presidente Figueiredo (96), Barcelos (94)

  2. 2

    🇧🇷Pará, Brazil

    68k sq mi177k km² matching 80% or better

    For example Ananindeua (90), Marituba (90)

  3. 3

    🇲🇾Sarawak, Malaysia

    45k sq mi116k km² matching 80% or better

    For example Miri (92), Beluru (92)

  4. 4

    🇲🇾Sabah, Malaysia

    31k sq mi79k km² matching 80% or better

    For example Kinarut (96), Donggongon (95)

  5. 5

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Pangkalanbuun (96), Sampit (94)

  6. 6

    🇵🇪Loreto, Peru

    25k sq mi66k km² matching 80% or better

    For example Yurimaguas (89), Requena (88)

  7. 7

    🇮🇩North Sumatra, Indonesia

    25k sq mi65k km² matching 80% or better

    For example Tanjungtiram (98), Pangkalan Brandan (98)

  8. 8

    🇮🇩West Kalimantan, Indonesia

    25k sq mi64k km² matching 80% or better

    For example Manismata (95), Bengkayang (91)

  9. 9

    🇨🇩Tshopo, Democratic Republic of the Congo

    21k sq mi53k km² matching 80% or better

    For example Basoko (90), Kisangani (90)

  10. 10

    🇨🇴Antioquia, Colombia

    19k sq mi49k km² matching 80% or better

    For example Segovia (93), Apartadó (93)

  11. 11

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi39k km² matching 80% or better

    For example Marawi City (96), Al-Barka (94)

  12. 12

    🇵🇭Bicol Region, Philippines

    15k sq mi39k km² matching 80% or better

    For example Esperanza (91), Masbate (88)

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

    🇲🇾Gua MusangKelantan, Malaysia

    Zone 13a · No frost · 0 chill hours · 105 in rainZone 13a · No frost · 0 chill hours · 2,670 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  2. 2

    🇲🇾Kampung JeliKelantan, Malaysia

    Zone 13a · No frost · 0 chill hours · 99 in rainZone 13a · No frost · 0 chill hours · 2,505 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  3. 3

    🇲🇾Klebang BesarMelaka, Malaysia

    Zone 13b · No frost · 0 chill hours · 90 in rainZone 13b · No frost · 0 chill hours · 2,285 mm rain

    Shares 18 of your 19 great-fit crops

    98%match
  4. 4

    🇲🇾Kota Kuala MudaKedah, Malaysia

    Zone 13b · No frost · 0 chill hours · 105 in rainZone 13b · No frost · 0 chill hours · 2,665 mm rain

    Shares 16 of your 19 great-fit crops

    98%match
  5. 5

    🇲🇾Kuala LipisPahang, Malaysia

    Zone 13a · No frost · 0 chill hours · 108 in rainZone 13a · No frost · 0 chill hours · 2,751 mm rain

    Shares 16 of your 19 great-fit crops

    98%match
  6. 6

    🇵🇭KidapawanSoccsksargen, Philippines

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,189 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  7. 7

    🇮🇩PercutNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 100 in rainZone 13a · No frost · 0 chill hours · 2,547 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  8. 8

    🇮🇩LangsaAceh, Indonesia

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,351 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  9. 9

    🇲🇾Bandar BaharuKedah, Malaysia

    Zone 13b · No frost · 0 chill hours · 103 in rainZone 13b · No frost · 0 chill hours · 2,628 mm rain

    Shares 16 of your 19 great-fit crops

    97%match
  10. 10

    🇵🇭Iligan CitySoccsksargen, Philippines

    Zone 13a · No frost · 0 chill hours · 106 in rainZone 13a · No frost · 0 chill hours · 2,696 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  11. 11

    🇮🇩TebingtinggiNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 108 in rainZone 13a · No frost · 0 chill hours · 2,754 mm rain

    Shares 16 of your 19 great-fit crops

    97%match
  12. 12

    🇲🇾Kuala KraiKelantan, Malaysia

    Zone 13b · No frost · 0 chill hours · 105 in rainZone 13b · No frost · 0 chill hours · 2,674 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  13. 13

    🇲🇾MuarJohor, Malaysia

    Zone 13b · No frost · 0 chill hours · 101 in rainZone 13b · No frost · 0 chill hours · 2,561 mm rain

    Shares 18 of your 19 great-fit crops

    96%match
  14. 14

    🇲🇾MalaccaMelaka, Malaysia

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,364 mm rain

    Shares 18 of your 19 great-fit crops

    96%match
  15. 15

    🇧🇷Presidente Figueiredo↻Seasons flipped. Amazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,503 mm rain

    Shares 18 of your 19 great-fit crops

    96%match
  16. 16

    🇮🇩Poso↻Seasons flipped. Central Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,487 mm rain

    Shares 18 of your 19 great-fit crops

    96%match
  17. 17

    🇨🇴El Carmen de ChucuríSantander Department, Colombia

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,196 mm rain

    Shares 19 of your 19 great-fit crops

    96%match
  18. 18

    🇲🇾TemerluhPahang, Malaysia

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,485 mm rain

    Shares 18 of your 19 great-fit crops

    96%match
  19. 19

    🇮🇩MedanNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 101 in rainZone 13a · No frost · 0 chill hours · 2,568 mm rain

    Shares 17 of your 19 great-fit crops

    96%match
  20. 20

    🇲🇾RompinNegeri Sembilan, Malaysia

    Zone 13b · No frost · 0 chill hours · 89 in rainZone 13b · No frost · 0 chill hours · 2,268 mm rain

    Shares 18 of your 19 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 Betong, Thailand: 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.