Climatch

Land with a climate like Lucas

🇧🇷Lucas, Mato Grosso, Brazil

The towns with the closest growing climate to Lucas are Cuiabá, Brazil (99% match), Cáceres and Mirassol d'Oeste. About 1.3 million sq mi of land in 23 countries matches 80% or better, most of it in Mato Grosso, Brazil, Mato Grosso do Sul, Brazil and Goiás, Brazil.The towns with the closest growing climate to Lucas are Cuiabá, Brazil (99% match), Cáceres and Mirassol d'Oeste. About 3.4 million km² of land in 23 countries matches 80% or better, most of it in Mato Grosso, Brazil, Mato Grosso do Sul, Brazil and Goiás, Brazil.

Your growing climate

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

What grows in Lucas →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    142k sq mi367k km² matching 80% or better

    For example Cuiabá (99), Várzea Grande (99)

  2. 2

    🇧🇷Mato Grosso do Sul, Brazil

    71k sq mi184k km² matching 80% or better

    For example Coxim (99), Rio Verde de Mato Grosso (96)

  3. 3

    🇧🇷Goiás, Brazil

    63k sq mi162k km² matching 80% or better

    For example São Simão (95), Quirinópolis (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 (96)

  5. 5

    🇨🇩Kwilu, Democratic Republic of the Congo

    23k sq mi60k km² matching 80% or better

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

  6. 6

    🇧🇴Beni Department, Bolivia

    22k sq mi56k km² matching 80% or better

    For example Trinidad (90), San Borja (86)

  7. 7

    🇨🇩Lomami, Democratic Republic of the Congo

    15k sq mi40k km² matching 80% or better

    For example Lubao (84), Gandajika (84)

  8. 8

    🇨🇩Kasai, Democratic Republic of the Congo

    14k sq mi37k km² matching 80% or better

    For example Luebo (82), Ilebo (82)

  9. 9

    🇨🇲East, Cameroon

    13k sq mi32k km² matching 80% or better

    For example Batouri (86), Bertoua (84)

  10. 10

    🇨🇮Montagnes, Ivory Coast

    8,900 sq mi23k km² matching 80% or better

    For example Logoualé (86), Gohouo (86)

  11. 11

    🇨🇮Woroba, Ivory Coast

    7,700 sq mi20k km² matching 80% or better

    For example Séguéla (84), Touba (83)

  12. 12

    🇹🇿Morogoro, Tanzania

    6,800 sq mi18k km² matching 80% or better

    For example Morogoro (84), Madizini (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

    🇧🇷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 17 great-fit crops

    99%match
  2. 2

    🇧🇷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 17 great-fit crops

    99%match
  3. 3

    🇧🇷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 17 great-fit crops

    99%match
  4. 4

    🇧🇷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 17 great-fit crops

    99%match
  5. 5

    🇧🇷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 17 great-fit crops · Also great there: cacao, banana

    99%match
  6. 6

    🇧🇷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 17 great-fit crops · Also great there: cacao, banana

    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 17 of your 17 great-fit crops · Also great there: wheat

    99%match
  8. 8

    🇧🇷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 17 of your 17 great-fit crops

    99%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 16 of your 17 great-fit crops · Also great there: wheat

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

    99%match
  11. 11

    🇧🇷NobresMato Grosso, Brazil

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

    Shares 17 of your 17 great-fit crops

    98%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 16 of your 17 great-fit crops · Also great there: wheat

    97%match
  13. 13

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

    96%match
  14. 14

    🇧🇴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 17 great-fit crops · Also great there: banana

    96%match
  15. 15

    🇧🇷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 17 of your 17 great-fit crops · Also great there: wheat, canola (rapeseed)

    95%match
  16. 16

    🇧🇷São SimãoGoiás, Brazil

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

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

    95%match
  17. 17

    🇧🇷QuirinópolisGoiás, Brazil

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

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

    94%match
  18. 18

    🇧🇷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 17 great-fit crops

    94%match
  19. 19

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

    94%match
  20. 20

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

    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 Lucas: 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.