Climatch

Land with a climate like Phon Charoen

🇹🇭Phon Charoen, Nong Khai, Thailand

The towns with the closest growing climate to Phon Charoen are Seka, Thailand (99% match), Warichaphum and Thakhèk. About 308,000 sq mi of land in 9 countries matches 80% or better, most of it in West Bengal, India, Assam, India and Sagaing Region, Myanmar.The towns with the closest growing climate to Phon Charoen are Seka, Thailand (99% match), Warichaphum and Thakhèk. About 796,000 km² of land in 9 countries matches 80% or better, most of it in West Bengal, India, Assam, India and Sagaing Region, Myanmar.

Your growing climate

Zone 11b · No frost · 0 chill hours · 80 in rainZone 11b · No frost · 0 chill hours · 2,039 mm rain

What grows in Phon Charoen →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    25k sq mi65k km² matching 80% or better

    For example Naksalbāri (94), Bagdogra (94)

  2. 2

    🇮🇳Assam, India

    20k sq mi51k km² matching 80% or better

    For example Nagaon (93), Tezpur (93)

  3. 3

    🇲🇲Sagaing Region, Myanmar

    15k sq mi39k km² matching 80% or better

    For example Tatkon (91), Tamu (90)

  4. 4

    🇧🇩Chittagong, Bangladesh

    12k sq mi32k km² matching 80% or better

    For example Lākshām (94), Comilla (94)

  5. 5

    🇲🇲Kachin State, Myanmar

    12k sq mi32k km² matching 80% or better

    For example Mogaung (93), Myitkyina (92)

  6. 6

    🇧🇩Khulna Division, Bangladesh

    9,100 sq mi24k km² matching 80% or better

    For example Kālīganj (93), Kālia (93)

  7. 7

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Tungi (93), Sakhipur (93)

  8. 8

    🇹🇭Nakhon Ratchasima, Thailand

    6,900 sq mi18k km² matching 80% or better

    For example Pak Chong (86), Amphoe Sikhiu (84)

  9. 9

    🇮🇳Odisha, India

    6,700 sq mi17k km² matching 80% or better

    For example Nilagiri (84), Remuna (84)

  10. 10

    🇱🇦Savannakhet Province, Laos

    5,700 sq mi15k km² matching 80% or better

    For example Ban Xénô (94), Savannakhet (91)

  11. 11

    🇧🇷Mato Grosso, Brazil

    5,400 sq mi14k km² matching 80% or better

    For example Lucas (80), Cáceres (79)

  12. 12

    🇹🇭Udon Thani, Thailand

    5,400 sq mi14k km² matching 80% or better

    For example Ban Nong Wua So (95), Nam Som (94)

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

    🇹🇭SekaBueng Kan, Thailand

    Zone 11b · No frost · 0 chill hours · 82 in rainZone 11b · No frost · 0 chill hours · 2,092 mm rain

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

    99%match
  2. 2

    🇹🇭WarichaphumSakon Nakhon, Thailand

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,337 mm rain

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

    97%match
  3. 3

    🇱🇦ThakhèkKhammouane Province, Laos

    Zone 12a · No frost · 0 chill hours · 81 in rainZone 12a · No frost · 0 chill hours · 2,063 mm rain

    Shares 15 of your 15 great-fit crops

    96%match
  4. 4

    🇱🇦BorikhanBolikhamsai, Laos

    Zone 11b · No frost · 0 chill hours · 122 in rainZone 11b · No frost · 0 chill hours · 3,095 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: tea, wheat, banana

    96%match
  5. 5

    🇹🇭Sakon NakhonThailand

    Zone 12a · No frost · 0 chill hours · 57 in rainZone 12a · No frost · 0 chill hours · 1,444 mm rain

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

    95%match
  6. 6

    🇹🇭Ban Nong Wua SoUdon Thani, Thailand

    Zone 12a · No frost · 0 chill hours · 50 in rainZone 12a · No frost · 0 chill hours · 1,262 mm rain

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

    95%match
  7. 7

    🇧🇩ComillaChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 86 in rainZone 11a · No frost · 0 chill hours · 2,186 mm rain

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

    94%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 14 of your 15 great-fit crops · Also great there: fig

    94%match
  9. 9

    🇮🇳NagaonAssam, India

    Zone 11a · No frost · 0 chill hours · 64 in rainZone 11a · No frost · 0 chill hours · 1,613 mm rain

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

    93%match
  10. 10

    🇧🇩ShibganjRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 77 in rainZone 11a · No frost · 0 chill hours · 1,966 mm rain

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

    93%match
  11. 11

    🇧🇩MymensinghMymensingh Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,252 mm rain

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

    93%match
  12. 12

    🇧🇩KhagrachhariChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,250 mm rain

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

    93%match
  13. 13

    🇧🇩Nagar NaluākotDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,252 mm rain

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

    93%match
  14. 14

    🇧🇩SirajganjRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,784 mm rain

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

    93%match
  15. 15

    🇧🇩NarayanganjDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 86 in rainZone 11a · No frost · 0 chill hours · 2,196 mm rain

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

    93%match
  16. 16

    🇧🇩NāgarpurDhaka Division, Bangladesh

    Zone 11a · No frost · 2 chill hours · 73 in rainZone 11a · No frost · 2 chill hours · 1,855 mm rain

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

    93%match
  17. 17

    🇧🇩TangailDhaka Division, Bangladesh

    Zone 11a · No frost · 2 chill hours · 73 in rainZone 11a · No frost · 2 chill hours · 1,847 mm rain

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

    93%match
  18. 18

    🇲🇲MogaungKachin State, Myanmar

    Zone 10b · No frost · 6 chill hours · 78 in rainZone 10b · No frost · 6 chill hours · 1,992 mm rain

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

    93%match
  19. 19

    🇮🇳HojāiAssam, India

    Zone 10b · No frost · 5 chill hours · 58 in rainZone 10b · No frost · 5 chill hours · 1,466 mm rain

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

    93%match
  20. 20

    🇧🇩JamālpurMymensingh Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 84 in rainZone 11a · No frost · 0 chill hours · 2,136 mm rain

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

    93%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 Phon Charoen: 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.