Climatch

Land with a climate like Cáceres, Brazil

🇧🇷Cáceres, Mato Grosso, Brazil

The towns with the closest growing climate to Cáceres, Brazil are Poconé, Brazil (99% match), Lambari d'Oeste and Lucas. About 953,000 sq mi of land in 14 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 Cáceres, Brazil are Poconé, Brazil (99% match), Lambari d'Oeste and Lucas. About 2.5 million km² of land in 14 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 · 50 in rainZone 12a · No frost · 0 chill hours · 1,264 mm rain

What grows in Cáceres, Brazil →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    107k sq mi278k km² matching 80% or better

    For example Poconé (99), Lambari d'Oeste (99)

  2. 2

    🇧🇷Mato Grosso do Sul, Brazil

    62k sq mi160k km² matching 80% or better

    For example Coxim (96), Ladário (92)

  3. 3

    🇧🇷Rondônia, Brazil

    61k sq mi157k km² matching 80% or better

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

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    24k sq mi63k km² matching 80% or better

    For example San Ignacio de Velasco (98), Ascención de Guarayos (95)

  5. 5

    🇧🇴Beni Department, Bolivia

    22k sq mi56k km² matching 80% or better

    For example Trinidad (91), San Borja (87)

  6. 6

    🇨🇩Kwilu, Democratic Republic of the Congo

    14k sq mi37k km² matching 80% or better

    For example Masi-Manimba (83), Bulungu (81)

  7. 7

    🇨🇩Maniema, Democratic Republic of the Congo

    9,200 sq mi24k km² matching 80% or better

    For example Kasongo (82), Kindu (79)

  8. 8

    🇹🇭Nan, Thailand

    5,700 sq mi15k km² matching 80% or better

    For example Nan (87)

  9. 9

    🇨🇮Montagnes, Ivory Coast

    4,700 sq mi12k km² matching 80% or better

    For example Logoualé (84), Man (83)

  10. 10

    🇱🇦Bokeo, Laos

    4,500 sq mi12k km² matching 80% or better

    For example Ban Houakhoua (88), Ban Khoan (87)

  11. 11

    🇵🇪Ucayali, Peru

    4,100 sq mi11k km² matching 80% or better

    For example Atalaya (84), San Fernando (64)

  12. 12

    🇹🇭Tak, Thailand

    4,000 sq mi10k km² matching 80% or better

    For example Mae Ramat (84), Mae Sot (81)

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

    🇧🇷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
  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

    🇧🇷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
  4. 4

    🇧🇷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
  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

    🇧🇷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
  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

    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

    97%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

    96%match
  11. 11

    🇧🇷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

    96%match
  12. 12

    🇧🇷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
  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

    95%match
  14. 14

    🇧🇷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
  15. 15

    🇧🇷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

    94%match
  16. 16

    🇧🇷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
  17. 17

    🇱🇦Luang Prabang↻Seasons flipped. Luang Prabang Province, Laos

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

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

    93%match
  18. 18

    🇧🇷Governador ValadaresMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,027 mm rain

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

    92%match
  19. 19

    🇧🇷CorumbáMato 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 16 great-fit crops

    92%match
  20. 20

    🇧🇷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

    92%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 Cáceres, Brazil: 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.