Climatch

Land with a climate like Santo Antônio do Leverger

🇧🇷Santo Antônio do Leverger, Mato Grosso, Brazil

The towns with the closest growing climate to Santo Antônio do Leverger are Mirassol d'Oeste, Brazil (99% match), Lambari d'Oeste and Pontes e Lacerda. About 1.4 million sq mi of land in 24 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 Santo Antônio do Leverger are Mirassol d'Oeste, Brazil (99% match), Lambari d'Oeste and Pontes e Lacerda. About 3.5 million km² of land in 24 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 · 51 in rainZone 12a · No frost · 0 chill hours · 1,299 mm rain

What grows in Santo Antônio do Leverger →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    150k sq mi389k km² matching 80% or better

    For example Mirassol d'Oeste (99), São José dos Quatro Marcos (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 (96)

  3. 3

    🇧🇷Rondônia, Brazil

    63k sq mi164k km² matching 80% or better

    For example Rolim de Moura do Guaporé (95), Cerejeiras (94)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    24k sq mi63k km² matching 80% or better

    For example San Ignacio de Velasco (99), Ascención de Guarayos (94)

  5. 5

    🇨🇩Kwilu, Democratic Republic of the Congo

    23k sq mi59k km² matching 80% or better

    For example Masi-Manimba (86), Idiofa (84)

  6. 6

    🇧🇴Beni Department, Bolivia

    22k sq mi56k km² matching 80% or better

    For example Trinidad (90), San Borja (85)

  7. 7

    🇨🇩Lomami, Democratic Republic of the Congo

    16k sq mi41k km² matching 80% or better

    For example Gandajika (84), Lubao (84)

  8. 8

    🇨🇲East, Cameroon

    14k sq mi36k km² matching 80% or better

    For example Batouri (86), Bertoua (85)

  9. 9

    🇨🇩Kasai, Democratic Republic of the Congo

    13k sq mi35k km² matching 80% or better

    For example Tshikapa (82), Luebo (82)

  10. 10

    🇨🇮Montagnes, Ivory Coast

    9,800 sq mi25k km² matching 80% or better

    For example Logoualé (87), Man (87)

  11. 11

    🇨🇮Woroba, Ivory Coast

    8,300 sq mi21k km² matching 80% or better

    For example Séguéla (85), Touba (84)

  12. 12

    🇨🇫Haut-Mbomou, Central African Republic

    6,900 sq mi18k km² matching 80% or better

    For example Zemio (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

    🇧🇷Mirassol d'OesteMato Grosso, Brazil

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

    Shares 16 of your 16 great-fit crops

    99%match
  2. 2

    🇧🇷Lambari d'OesteMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 57 in rainZone 12a · No frost · 0 chill hours · 1,451 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  3. 3

    🇧🇷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
  4. 4

    🇧🇷CáceresMato 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 16 great-fit crops

    99%match
  5. 5

    🇧🇷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
  6. 6

    🇧🇷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
  7. 7

    🇧🇷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

    99%match
  8. 8

    🇧🇴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
  9. 9

    🇧🇷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

    99%match
  10. 10

    🇧🇷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
  11. 11

    🇧🇷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

    98%match
  12. 12

    🇧🇷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

    96%match
  13. 13

    🇧🇷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

    96%match
  14. 14

    🇧🇷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)

    96%match
  15. 15

    🇧🇷São SimãoGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,411 mm rain

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

    95%match
  16. 16

    🇧🇷QuirinópolisGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,521 mm rain

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

    95%match
  17. 17

    🇧🇷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

    95%match
  18. 18

    🇧🇴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

    94%match
  19. 19

    🇧🇷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

    94%match
  20. 20

    🇧🇷CassilândiaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,454 mm rain

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

    94%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 Santo Antônio do Leverger: 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.