Climatch

Land with a climate like Phanat Nikhom

🇹🇭Phanat Nikhom, Chon Buri, Thailand

The towns with the closest growing climate to Phanat Nikhom are Kabin Buri, Thailand (99% match), Rayong and Nakhon Nayok. About 331,000 sq mi of land in 18 countries matches 80% or better, most of it in Lacs District, Ivory Coast, Nakhon Ratchasima, Thailand and Apure, Venezuela.The towns with the closest growing climate to Phanat Nikhom are Kabin Buri, Thailand (99% match), Rayong and Nakhon Nayok. About 858,000 km² of land in 18 countries matches 80% or better, most of it in Lacs District, Ivory Coast, Nakhon Ratchasima, Thailand and Apure, Venezuela.

Your growing climate

Zone 13a · No frost · 0 chill hours · 51 in rainZone 13a · No frost · 0 chill hours · 1,305 mm rain

What grows in Phanat Nikhom →

Regions with the most land like yours

  1. 1

    🇨🇮Lacs District, Ivory Coast

    9,200 sq mi24k km² matching 80% or better

    For example Dimbokro (87), Yamoussoukro (86)

  2. 2

    🇹🇭Nakhon Ratchasima, Thailand

    8,100 sq mi21k km² matching 80% or better

    For example Nakhon Ratchasima (95), Khon Buri (95)

  3. 3

    🇻🇪Apure, Venezuela

    7,400 sq mi19k km² matching 80% or better

    For example San Fernando de Apure (81), Achaguas (79)

  4. 4

    🇨🇮Comoé District, Ivory Coast

    7,100 sq mi18k km² matching 80% or better

    For example Arrah (85), Niablé (85)

  5. 5

    🇬🇭Volta, Ghana

    6,200 sq mi16k km² matching 80% or better

    For example Kpandu (90), Hohoe (87)

  6. 6

    🇻🇪Barinas, Venezuela

    6,200 sq mi16k km² matching 80% or better

    For example Obispos (83), Barrancas (80)

  7. 7

    🇹🇭Kanchanaburi, Thailand

    6,100 sq mi16k km² matching 80% or better

    For example Tha Maka (97), Kanchanaburi (96)

  8. 8

    🇰🇭Kratie, Cambodia

    5,500 sq mi14k km² matching 80% or better

    For example Preaek Prasab (95), Kratié (94)

  9. 9

    🇨🇴Cesar Department, Colombia

    5,300 sq mi14k km² matching 80% or better

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

  10. 10

    🇹🇭Prachuap Khiri Khan, Thailand

    5,300 sq mi14k km² matching 80% or better

    For example Pran Buri (96), Sam Roi Yot (96)

  11. 11

    🇰🇭Kampong Thom, Cambodia

    5,200 sq mi14k km² matching 80% or better

    For example Phumĭ Tnaôt (94), Kampong Thom (93)

  12. 12

    🇮🇩East Nusa Tenggara, Indonesia

    5,000 sq mi13k km² matching 80% or better

    For example Tambolaka (88), Ende (84)

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

    🇹🇭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

    99%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

    99%match
  3. 3

    🇹🇭Nakhon NayokThailand

    Zone 13a · No frost · 0 chill hours · 54 in rainZone 13a · No frost · 0 chill hours · 1,380 mm rain

    Shares 14 of your 15 great-fit crops

    99%match
  4. 4

    🇹🇭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

    99%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

    99%match
  6. 6

    🇰🇭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

    99%match
  7. 7

    🇹🇭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

    98%match
  8. 8

    🇹🇭SaraburiThailand

    Zone 12b · No frost · 0 chill hours · 49 in rainZone 12b · No frost · 0 chill hours · 1,251 mm rain

    Shares 14 of your 15 great-fit crops

    98%match
  9. 9

    🇹🇭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

    97%match
  10. 10

    🇹🇭Lop BuriLopburi, Thailand

    Zone 12b · No frost · 0 chill hours · 43 in rainZone 12b · No frost · 0 chill hours · 1,093 mm rain

    Shares 14 of your 15 great-fit crops

    96%match
  11. 11

    🇰🇭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

    96%match
  12. 12

    🇹🇭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

    96%match
  13. 13

    🇹🇭Khanu WoralaksaburiKamphaeng Phet, Thailand

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,075 mm rain

    Shares 14 of your 15 great-fit crops

    96%match
  14. 14

    🇹🇭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

    96%match
  15. 15

    🇹🇭Nakhon SawanThailand

    Zone 12b · No frost · 0 chill hours · 44 in rainZone 12b · No frost · 0 chill hours · 1,105 mm rain

    Shares 14 of your 15 great-fit crops

    96%match
  16. 16

    🇹🇭Phra Nakhon Si AyutthayaThailand

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 998 mm rain

    Shares 14 of your 15 great-fit crops

    96%match
  17. 17

    🇹🇭Chai NatThailand

    Zone 12b · No frost · 0 chill hours · 38 in rainZone 12b · No frost · 0 chill hours · 974 mm rain

    Shares 14 of your 15 great-fit crops

    96%match
  18. 18

    🇹🇭Bang LenNakhon Pathom, Thailand

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 985 mm rain

    Shares 14 of your 15 great-fit crops

    96%match
  19. 19

    🇹🇭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

    95%match
  20. 20

    🇹🇭Nakhon RatchasimaThailand

    Zone 12b · No frost · 0 chill hours · 44 in rainZone 12b · No frost · 0 chill hours · 1,107 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: strawberry

    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 Phanat Nikhom: 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.