Climatch

Land with a climate like Ban Houakhoua

🇱🇦Ban Houakhoua, Bokeo, Laos

The towns with the closest growing climate to Ban Houakhoua are Chiang Rai, Thailand (99% match), Phrae and Nan. About 578,000 sq mi of land in 19 countries matches 80% or better, most of it in Mato Grosso, Brazil, Mato Grosso do Sul, Brazil and Odisha, India.The towns with the closest growing climate to Ban Houakhoua are Chiang Rai, Thailand (99% match), Phrae and Nan. About 1.5 million km² of land in 19 countries matches 80% or better, most of it in Mato Grosso, Brazil, Mato Grosso do Sul, Brazil and Odisha, India.

Your growing climate

Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,644 mm rain

What grows in Ban Houakhoua →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    43k sq mi112k km² matching 80% or better

    For example Poconé (91), Lucas (91)

  2. 2

    🇧🇷Mato Grosso do Sul, Brazil

    34k sq mi88k km² matching 80% or better

    For example Coxim (90), Ladário (87)

  3. 3

    🇮🇳Odisha, India

    27k sq mi70k km² matching 80% or better

    For example Dhamanagar (90), Byasanagar (90)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    18k sq mi48k km² matching 80% or better

    For example San Ignacio de Velasco (88), Ascención de Guarayos (84)

  5. 5

    🇲🇲Sagaing Region, Myanmar

    18k sq mi46k km² matching 80% or better

    For example Katha (91), Kalemyo (90)

  6. 6

    🇮🇳West Bengal, India

    15k sq mi38k km² matching 80% or better

    For example Bangaon (90), Rajpur Sonarpur (88)

  7. 7

    🇧🇩Chittagong, Bangladesh

    11k sq mi29k km² matching 80% or better

    For example Raojān (87), Karnaphuli (86)

  8. 8

    🇹🇭Nakhon Ratchasima, Thailand

    7,800 sq mi20k km² matching 80% or better

    For example Khon Buri (85), Chok Chai (85)

  9. 9

    🇲🇲Kachin State, Myanmar

    6,500 sq mi17k km² matching 80% or better

    For example Shwegu (94), Bhamo (93)

  10. 10

    🇲🇿Sofala, Mozambique

    6,500 sq mi17k km² matching 80% or better

    For example Dondo (84), Búzi (81)

  11. 11

    🇧🇩Khulna Division, Bangladesh

    6,300 sq mi16k km² matching 80% or better

    For example Jhingergācha (92), Jessore (91)

  12. 12

    🇲🇿Zambezia Province, Mozambique

    6,300 sq mi16k km² matching 80% or better

    For example Mocuba (83), Namacurra (80)

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

    🇹🇭Chiang RaiThailand

    Zone 11b · No frost · 0 chill hours · 51 in rainZone 11b · No frost · 0 chill hours · 1,306 mm rain

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

    99%match
  2. 2

    🇹🇭PhraeThailand

    Zone 11b · No frost · 0 chill hours · 44 in rainZone 11b · No frost · 0 chill hours · 1,121 mm rain

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

    96%match
  3. 3

    🇹🇭NanThailand

    Zone 11b · No frost · 0 chill hours · 44 in rainZone 11b · No frost · 0 chill hours · 1,129 mm rain

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

    96%match
  4. 4

    🇹🇭Dok Kham TaiPhayao, Thailand

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,063 mm rain

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

    95%match
  5. 5

    🇱🇦Luang PrabangLuang Prabang Province, Laos

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,275 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: avocado, fig, wheat

    95%match
  6. 6

    🇹🇭LoeiThailand

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,197 mm rain

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

    95%match
  7. 7

    🇹🇭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 14 great-fit crops · Also great there: fig

    94%match
  8. 8

    🇹🇭UttaraditThailand

    Zone 12a · No frost · 0 chill hours · 54 in rainZone 12a · No frost · 0 chill hours · 1,366 mm rain

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

    94%match
  9. 9

    🇹🇭LampangThailand

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,060 mm rain

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

    94%match
  10. 10

    🇲🇲ShweguKachin State, Myanmar

    Zone 11a · No frost · 2 chill hours · 57 in rainZone 11a · No frost · 2 chill hours · 1,457 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: avocado, wheat, barley

    94%match
  11. 11

    🇹🇭Chiang MaiThailand

    Zone 11b · No frost · 0 chill hours · 41 in rainZone 11b · No frost · 0 chill hours · 1,051 mm rain

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

    93%match
  12. 12

    🇲🇲BhamoKachin State, Myanmar

    Zone 11a · No frost · 4 chill hours · 61 in rainZone 11a · No frost · 4 chill hours · 1,546 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: avocado, wheat, barley

    93%match
  13. 13

    🇱🇦VientianeVientiane Prefecture, Laos

    Zone 12a · No frost · 0 chill hours · 63 in rainZone 12a · No frost · 0 chill hours · 1,607 mm rain

    Shares 13 of your 14 great-fit crops

    93%match
  14. 14

    🇱🇦Vang ViengVientiane, Laos

    Zone 11b · No frost · 0 chill hours · 118 in rainZone 11b · No frost · 0 chill hours · 3,005 mm rain

    Shares 13 of your 14 great-fit crops · Also great there: tea, banana, macadamia

    92%match
  15. 15

    🇧🇩JessoreKhulna Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,771 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: wheat, barley, canola (rapeseed)

    91%match
  16. 16

    🇲🇲KathaSagaing Region, Myanmar

    Zone 11a · No frost · 1 chill hours · 57 in rainZone 11a · No frost · 1 chill hours · 1,454 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: avocado, wheat, fig

    91%match
  17. 17

    🇧🇷Poconé↻Seasons flipped. Mato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,257 mm rain

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

    91%match
  18. 18

    🇧🇷Lucas↻Seasons flipped. Mato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 50 in rainZone 12a · No frost · 0 chill hours · 1,261 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: avocado, fig, macadamia

    91%match
  19. 19

    🇲🇲Möng YawngShan State, Myanmar

    Zone 11a · No frost · 0 chill hours · 62 in rainZone 11a · No frost · 0 chill hours · 1,577 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: avocado, wheat, canola (rapeseed)

    91%match
  20. 20

    🇧🇷Coxim↻Seasons flipped. Mato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,406 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: avocado, macadamia, banana

    90%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 Ban Houakhoua: 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.