Climatch

Land with a climate like Luang Prabang

🇱🇦Luang Prabang, Luang Prabang Province, Laos

The towns with the closest growing climate to Luang Prabang are Muang Xay, Laos (95% match), Ban Khoan and Poconé. About 678,000 sq mi of land in 21 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Mato Grosso, Brazil and São Paulo, Brazil.The towns with the closest growing climate to Luang Prabang are Muang Xay, Laos (95% match), Ban Khoan and Poconé. About 1.8 million km² of land in 21 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Mato Grosso, Brazil and São Paulo, Brazil.

Your growing climate

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

What grows in Luang Prabang →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    63k sq mi162k km² matching 80% or better

    For example Miranda (92), Coxim (92)

  2. 2

    🇧🇷Mato Grosso, Brazil

    48k sq mi123k km² matching 80% or better

    For example Poconé (93), Cáceres (93)

  3. 3

    🇧🇷São Paulo, Brazil

    27k sq mi70k km² matching 80% or better

    For example Ilha Solteira (90), Pereira Barreto (90)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    25k sq mi64k km² matching 80% or better

    For example San Ignacio de Velasco (93), Ascención de Guarayos (90)

  5. 5

    🇲🇿Zambezia Province, Mozambique

    21k sq mi55k km² matching 80% or better

    For example Namacurra (87), Mocuba (87)

  6. 6

    🇲🇿Sofala, Mozambique

    19k sq mi49k km² matching 80% or better

    For example Dondo (92), Búzi (90)

  7. 7

    🇲🇲Sagaing Region, Myanmar

    15k sq mi39k km² matching 80% or better

    For example Kyauktan (90), Katha (90)

  8. 8

    🇧🇴Beni Department, Bolivia

    13k sq mi34k km² matching 80% or better

    For example Trinidad (82), San Borja (81)

  9. 9

    🇮🇳Assam, India

    12k sq mi32k km² matching 80% or better

    For example Lanka (93), Hojāi (92)

  10. 10

    🇲🇲Kachin State, Myanmar

    11k sq mi28k km² matching 80% or better

    For example Shwegu (92), Bhamo (92)

  11. 11

    🇲🇽Yucatán, Mexico

    10k sq mi27k km² matching 80% or better

    For example Tizimín (83), Oxkutzkab (82)

  12. 12

    🇲🇽Veracruz, Mexico

    10k sq mi26k km² matching 80% or better

    For example Tierra Blanca (86), Álamo (86)

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

    🇱🇦Muang XayOudômxai, Laos

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,495 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: macadamia, canola (rapeseed), barley

    95%match
  2. 2

    🇱🇦Ban KhoanBokeo, Laos

    Zone 11b · No frost · 0 chill hours · 66 in rainZone 11b · No frost · 0 chill hours · 1,679 mm rain

    Shares 15 of your 17 great-fit crops

    94%match
  3. 3

    🇧🇷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 16 of your 17 great-fit crops

    93%match
  4. 4

    🇹🇭Chiang RaiThailand

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

    Shares 15 of your 17 great-fit crops

    93%match
  5. 5

    🇱🇦Muang SingLoungnamtha, Laos

    Zone 11a · No frost · 1 chill hours · 67 in rainZone 11a · No frost · 1 chill hours · 1,706 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: canola (rapeseed), macadamia, barley

    93%match
  6. 6

    🇧🇴San Ignacio de Velasco↻Seasons flipped. Santa Cruz Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 44 in rainZone 12a · No frost · 0 chill hours · 1,120 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: macadamia

    93%match
  7. 7

    🇧🇷Cáceres↻Seasons flipped. Mato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 50 in rainZone 12a · No frost · 0 chill hours · 1,264 mm rain

    Shares 16 of your 17 great-fit crops

    93%match
  8. 8

    🇮🇳HojāiAssam, India

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

    Shares 17 of your 17 great-fit crops · Also great there: barley, banana

    92%match
  9. 9

    🇧🇷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 16 of your 17 great-fit crops · Also great there: macadamia

    92%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 17 of your 17 great-fit crops · Also great there: barley

    92%match
  11. 11

    🇲🇲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 16 of your 17 great-fit crops · Also great there: canola (rapeseed), macadamia, banana

    92%match
  12. 12

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

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,204 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: canola (rapeseed), banana, barley

    92%match
  13. 13

    🇱🇦Vang ViengVientiane, Laos

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

    Shares 14 of your 17 great-fit crops · Also great there: tea, banana, macadamia

    92%match
  14. 14

    🇲🇲BhamoKachin State, Myanmar

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

    Shares 16 of your 17 great-fit crops · Also great there: barley

    92%match
  15. 15

    🇧🇷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 17 of your 17 great-fit crops · Also great there: macadamia, banana

    92%match
  16. 16

    🇮🇳DimāpurNagaland, India

    Zone 10b · No frost · 11 chill hours · 62 in rainZone 10b · No frost · 11 chill hours · 1,581 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: canola (rapeseed), barley, tea

    92%match
  17. 17

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

    Zone 12a · No frost · 0 chill hours · 39 in rainZone 12a · No frost · 0 chill hours · 986 mm rain

    Shares 16 of your 17 great-fit crops

    90%match
  18. 18

    🇧🇴Ascención de Guarayos↻Seasons flipped. Santa Cruz Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,242 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: banana

    90%match
  19. 19

    🇲🇿Búzi↻Seasons flipped. Sofala, Mozambique

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,068 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: macadamia

    90%match
  20. 20

    🇮🇳Lumding Railway ColonyAssam, India

    Zone 10b · No frost · 25 chill hours · 55 in rainZone 10b · No frost · 25 chill hours · 1,408 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: canola (rapeseed), barley

    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 Luang Prabang: 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.