Climatch

Land with a climate like Sam Roi Yot

🇹🇭Sam Roi Yot, Prachuap Khiri Khan, Thailand

The towns with the closest growing climate to Sam Roi Yot are Chon Buri, Thailand (97% match), Rayong and Suphan Buri. About 158,000 sq mi of land in 13 countries matches 80% or better, most of it in Zulia, Venezuela, Comoé District, Ivory Coast and Volta, Ghana.The towns with the closest growing climate to Sam Roi Yot are Chon Buri, Thailand (97% match), Rayong and Suphan Buri. About 410,000 km² of land in 13 countries matches 80% or better, most of it in Zulia, Venezuela, Comoé District, Ivory Coast and Volta, Ghana.

Your growing climate

Zone 13a · No frost · 0 chill hours · 40 in rainZone 13a · No frost · 0 chill hours · 1,007 mm rain

What grows in Sam Roi Yot →

Regions with the most land like yours

  1. 1

    🇻🇪Zulia, Venezuela

    9,100 sq mi24k km² matching 80% or better

    For example Mene Grande (89), San Timoteo (88)

  2. 2

    🇨🇮Comoé District, Ivory Coast

    6,800 sq mi18k km² matching 80% or better

    For example Ebilassokro (85), Niablé (84)

  3. 3

    🇬🇭Volta, Ghana

    6,200 sq mi16k km² matching 80% or better

    For example Akatsi (87), Hohoe (86)

  4. 4

    🇹🇭Prachuap Khiri Khan, Thailand

    6,100 sq mi16k km² matching 80% or better

    For example Bang Saphan (92)

  5. 5

    🇹🇿Pwani, Tanzania

    5,300 sq mi14k km² matching 80% or better

    For example Mvomero (84), Mlandizi (83)

  6. 6

    🇨🇴Cesar Department, Colombia

    5,000 sq mi13k km² matching 80% or better

    For example Valledupar (88), San Diego (87)

  7. 7

    🇨🇮Lagunes District, Ivory Coast

    4,500 sq mi12k km² matching 80% or better

    For example Nzianouan (85), Affery (84)

  8. 8

    🇨🇴Córdoba, Colombia

    4,100 sq mi11k km² matching 80% or better

    For example San Antero (86), Cotorra (85)

  9. 9

    🇹🇭Kanchanaburi, Thailand

    4,100 sq mi11k km² matching 80% or better

    For example Tha Maka (92), Kanchanaburi (92)

  10. 10

    🇨🇮Lacs District, Ivory Coast

    3,900 sq mi10,000 km² matching 80% or better

    For example Dimbokro (85), Yamoussoukro (83)

  11. 11

    🇨🇴Magdalena Department, Colombia

    3,800 sq mi9,900 km² matching 80% or better

    For example Nueva Granada (82), Chivolo (80)

  12. 12

    🇰🇭Kampong Speu Province, Cambodia

    2,900 sq mi7,600 km² matching 80% or better

    For example Kampong Speu (94), Phumĭ Véal Tônsay (92)

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

    🇹🇭Chon BuriThailand

    Zone 13a · No frost · 0 chill hours · 51 in rainZone 13a · No frost · 0 chill hours · 1,304 mm rain

    Shares 15 of your 15 great-fit crops

    97%match
  2. 2

    🇹🇭RayongThailand

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,493 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: cacao, banana

    96%match
  3. 3

    🇹🇭Suphan BuriThailand

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 982 mm rain

    Shares 14 of your 15 great-fit crops

    93%match
  4. 4

    🇰🇭TakeoCambodia

    Zone 13b · No frost · 0 chill hours · 55 in rainZone 13b · No frost · 0 chill hours · 1,388 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: banana, cacao

    92%match
  5. 5

    🇹🇭BangkokThailand

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,310 mm rain

    Shares 14 of your 15 great-fit crops

    92%match
  6. 6

    🇹🇭KanchanaburiThailand

    Zone 13a · No frost · 0 chill hours · 40 in rainZone 13a · No frost · 0 chill hours · 1,006 mm rain

    Shares 14 of your 15 great-fit crops

    92%match
  7. 7

    🇹🇭PhetchaburiThailand

    Zone 13a · No frost · 0 chill hours · 36 in rainZone 13a · No frost · 0 chill hours · 924 mm rain

    Shares 15 of your 15 great-fit crops

    92%match
  8. 8

    🇹🇭Bang SaphanPrachuap Khiri Khan, Thailand

    Zone 13a · No frost · 0 chill hours · 62 in rainZone 13a · No frost · 0 chill hours · 1,578 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: cacao, banana, tea

    92%match
  9. 9

    🇹🇭Ban I ChangRatchaburi, Thailand

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 986 mm rain

    Shares 14 of your 15 great-fit crops

    91%match
  10. 10

    🇹🇭Nakhon PathomThailand

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,031 mm rain

    Shares 14 of your 15 great-fit crops

    91%match
  11. 11

    🇹🇭Kabin BuriPrachin Buri, Thailand

    Zone 13a · No frost · 0 chill hours · 56 in rainZone 13a · No frost · 0 chill hours · 1,411 mm rain

    Shares 14 of your 15 great-fit crops

    90%match
  12. 12

    🇰🇭Phnom PenhCambodia

    Zone 13b · No frost · 0 chill hours · 54 in rainZone 13b · No frost · 0 chill hours · 1,359 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: banana, cacao

    90%match
  13. 13

    🇹🇭Sa KaeoThailand

    Zone 13a · No frost · 0 chill hours · 55 in rainZone 13a · No frost · 0 chill hours · 1,408 mm rain

    Shares 14 of your 15 great-fit crops

    90%match
  14. 14

    🇹🇭Si Maha PhotPrachin Buri, Thailand

    Zone 13a · No frost · 0 chill hours · 56 in rainZone 13a · No frost · 0 chill hours · 1,430 mm rain

    Shares 14 of your 15 great-fit crops

    89%match
  15. 15

    🇹🇭KlaengRayong, Thailand

    Zone 13a · No frost · 0 chill hours · 74 in rainZone 13a · No frost · 0 chill hours · 1,876 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: cacao, banana, tea

    89%match
  16. 16

    🇰🇭PursatCambodia

    Zone 13a · No frost · 0 chill hours · 55 in rainZone 13a · No frost · 0 chill hours · 1,396 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: banana, cacao

    88%match
  17. 17

    🇹🇭Nong PrueKanchanaburi, Thailand

    Zone 12b · No frost · 0 chill hours · 45 in rainZone 12b · No frost · 0 chill hours · 1,140 mm rain

    Shares 14 of your 15 great-fit crops

    88%match
  18. 18

    🇰🇭BattambangCambodia

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,333 mm rain

    Shares 14 of your 15 great-fit crops

    88%match
  19. 19

    🇨🇴ValleduparCesar Department, Colombia

    Zone 13a · No frost · 0 chill hours · 44 in rainZone 13a · No frost · 0 chill hours · 1,116 mm rain

    Shares 14 of your 15 great-fit crops

    88%match
  20. 20

    🇰🇭Paoy PaetBanteay Meanchey, Cambodia

    Zone 13a · No frost · 0 chill hours · 55 in rainZone 13a · No frost · 0 chill hours · 1,404 mm rain

    Shares 14 of your 15 great-fit crops

    88%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 Sam Roi 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.