Climatch

Land with a climate like Mirassol d'Oeste

🇧🇷Mirassol d'Oeste, Mato Grosso, Brazil

The towns with the closest growing climate to Mirassol d'Oeste are Pontes e Lacerda, Brazil (99% match), Poconé and Vila Bela da Santíssima Trindade. About 1.1 million sq mi of land in 17 countries matches 80% or better, most of it in Mato Grosso, Brazil, Mato Grosso do Sul, Brazil and Rondônia, Brazil.The towns with the closest growing climate to Mirassol d'Oeste are Pontes e Lacerda, Brazil (99% match), Poconé and Vila Bela da Santíssima Trindade. About 2.8 million km² of land in 17 countries matches 80% or better, most of it in Mato Grosso, Brazil, Mato Grosso do Sul, Brazil and Rondônia, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 55 in rainZone 12a · No frost · 0 chill hours · 1,405 mm rain

What grows in Mirassol d'Oeste →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    124k sq mi321k km² matching 80% or better

    For example Pontes e Lacerda (99), Poconé (99)

  2. 2

    🇧🇷Mato Grosso do Sul, Brazil

    70k sq mi181k km² matching 80% or better

    For example Coxim (98), Rio Verde de Mato Grosso (95)

  3. 3

    🇧🇷Rondônia, Brazil

    68k sq mi176k km² matching 80% or better

    For example Cerejeiras (96), Rolim de Moura do Guaporé (94)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    25k sq mi65k km² matching 80% or better

    For example San Ignacio de Velasco (99), Ascención de Guarayos (96)

  5. 5

    🇧🇴Beni Department, Bolivia

    22k sq mi56k km² matching 80% or better

    For example Trinidad (94), San Borja (90)

  6. 6

    🇨🇩Kwilu, Democratic Republic of the Congo

    17k sq mi45k km² matching 80% or better

    For example Masi-Manimba (83), Idiofa (83)

  7. 7

    🇨🇩Maniema, Democratic Republic of the Congo

    11k sq mi28k km² matching 80% or better

    For example Kasongo (85), Kampene (81)

  8. 8

    🇨🇮Montagnes, Ivory Coast

    10k sq mi26k km² matching 80% or better

    For example Man (88), Logoualé (87)

  9. 9

    🇨🇩Lomami, Democratic Republic of the Congo

    7,400 sq mi19k km² matching 80% or better

    For example Lubao (80), Gandajika (79)

  10. 10

    🇹🇭Nan, Thailand

    5,400 sq mi14k km² matching 80% or better

    For example Nan (83)

  11. 11

    🇵🇪Ucayali, Peru

    5,000 sq mi13k km² matching 80% or better

    For example Atalaya (89), San Fernando (67)

  12. 12

    🇱🇦Bokeo, Laos

    4,500 sq mi12k km² matching 80% or better

    For example Ban Houakhoua (88), Ban Khoan (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

    🇧🇷Pontes e LacerdaMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,517 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cacao, banana

    99%match
  2. 2

    🇧🇷PoconéMato 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 16 great-fit crops

    99%match
  3. 3

    🇧🇷Vila Bela da Santíssima TrindadeMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,527 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cacao, banana

    99%match
  4. 4

    🇧🇷Barra do BugresMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 54 in rainZone 12a · No frost · 0 chill hours · 1,384 mm rain

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

    99%match
  5. 5

    🇧🇷CuiabáMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,338 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  6. 6

    🇧🇷LucasMato 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 16 great-fit crops · Also great there: macadamia

    99%match
  7. 7

    🇧🇴San Ignacio de VelascoSanta Cruz Department, Bolivia

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

    Shares 16 of your 16 great-fit crops · Also great there: wheat, macadamia

    99%match
  8. 8

    🇧🇷CoximMato 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 16 of your 16 great-fit crops · Also great there: macadamia, banana, wheat

    98%match
  9. 9

    🇧🇷RondonópolisMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,541 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: wheat, macadamia

    98%match
  10. 10

    🇧🇷NobresMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,344 mm rain

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

    98%match
  11. 11

    🇧🇷Tangará da SerraMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,650 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: macadamia, wheat

    97%match
  12. 12

    🇧🇷CerejeirasRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 73 in rainZone 12a · No frost · 0 chill hours · 1,851 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cacao, banana, tea

    96%match
  13. 13

    🇧🇴Ascención de GuarayosSanta 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 16 great-fit crops · Also great there: banana

    96%match
  14. 14

    🇧🇷JaciaraMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,541 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: macadamia, wheat

    95%match
  15. 15

    🇧🇷Rio Verde de Mato GrossoMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 54 in rainZone 11b · No frost · 0 chill hours · 1,375 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: macadamia, wheat, barley

    95%match
  16. 16

    🇧🇷Rolim de Moura do GuaporéRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 59 in rainZone 12b · No frost · 0 chill hours · 1,493 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: cacao, macadamia, banana

    94%match
  17. 17

    🇧🇴TrinidadBeni Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 71 in rainZone 12a · No frost · 0 chill hours · 1,801 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cacao, banana, tea

    94%match
  18. 18

    🇧🇷São Francisco do GuaporéRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 64 in rainZone 12b · No frost · 0 chill hours · 1,620 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cacao, banana, tea

    93%match
  19. 19

    🇧🇷BrasiléiaAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 70 in rainZone 12b · No frost · 0 chill hours · 1,770 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cacao, banana, tea

    93%match
  20. 20

    🇧🇷Santa VitóriaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,448 mm rain

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

    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 Mirassol d'Oeste: 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.