Climatch

Land with a climate like Pontes e Lacerda

🇧🇷Pontes e Lacerda, Mato Grosso, Brazil

The towns with the closest growing climate to Pontes e Lacerda are Lambari d'Oeste, Brazil (99% match), Mirassol d'Oeste and Barra do Bugres. About 1.4 million sq mi of land in 20 countries matches 80% or better, most of it in Mato Grosso, Brazil, Rondônia, Brazil and Pará, Brazil.The towns with the closest growing climate to Pontes e Lacerda are Lambari d'Oeste, Brazil (99% match), Mirassol d'Oeste and Barra do Bugres. About 3.7 million km² of land in 20 countries matches 80% or better, most of it in Mato Grosso, Brazil, Rondônia, Brazil and Pará, Brazil.

Your growing climate

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

What grows in Pontes e Lacerda →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    145k sq mi375k km² matching 80% or better

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

  2. 2

    🇧🇷Rondônia, Brazil

    80k sq mi207k km² matching 80% or better

    For example Cerejeiras (99), Rolim de Moura do Guaporé (97)

  3. 3

    🇧🇷Pará, Brazil

    72k sq mi185k km² matching 80% or better

    For example Xinguara (91), Canaã dos Carajás (90)

  4. 4

    🇨🇩Kwilu, Democratic Republic of the Congo

    25k sq mi65k km² matching 80% or better

    For example Masi-Manimba (87), Idiofa (86)

  5. 5

    🇧🇴Santa Cruz Department, Bolivia

    23k sq mi61k km² matching 80% or better

    For example San Ignacio de Velasco (98), Ascención de Guarayos (96)

  6. 6

    🇧🇴Beni Department, Bolivia

    22k sq mi56k km² matching 80% or better

    For example Trinidad (95), San Borja (91)

  7. 7

    🇨🇩Kasai, Democratic Republic of the Congo

    15k sq mi39k km² matching 80% or better

    For example Ilebo (84), Luebo (82)

  8. 8

    🇨🇲East, Cameroon

    14k sq mi37k km² matching 80% or better

    For example Batouri (85), Bertoua (84)

  9. 9

    🇨🇩Maniema, Democratic Republic of the Congo

    13k sq mi34k km² matching 80% or better

    For example Kasongo (86), Kampene (83)

  10. 10

    🇨🇮Montagnes, Ivory Coast

    11k sq mi28k km² matching 80% or better

    For example Zou (91), Logoualé (91)

  11. 11

    🇸🇱Eastern Province, Sierra Leone

    7,100 sq mi18k km² matching 80% or better

    For example Koidu (86), Segbwema (86)

  12. 12

    🇨🇮Sassandra-Marahoue, Ivory Coast

    6,800 sq mi18k km² matching 80% or better

    For example Pélézi (87), Mignouré (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

    🇧🇷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 15 of your 17 great-fit crops · Also great there: fig

    99%match
  2. 2

    🇧🇷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 15 of your 17 great-fit crops · Also great there: fig

    99%match
  3. 3

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

    99%match
  4. 4

    🇧🇷PoconéMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,257 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: fig

    99%match
  5. 5

    🇧🇷CáceresMato Grosso, Brazil

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

    Shares 15 of your 17 great-fit crops · Also great there: fig

    99%match
  6. 6

    🇧🇷CuiabáMato Grosso, Brazil

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

    Shares 15 of your 17 great-fit crops · Also great there: fig

    99%match
  7. 7

    🇧🇷LucasMato Grosso, Brazil

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

    Shares 15 of your 17 great-fit crops · Also great there: fig, macadamia

    99%match
  8. 8

    🇧🇷CerejeirasRondônia, Brazil

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

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

    99%match
  9. 9

    🇧🇷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 17 great-fit crops · Also great there: macadamia, wheat

    99%match
  10. 10

    🇧🇴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 15 of your 17 great-fit crops · Also great there: fig, wheat, macadamia

    98%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 15 of your 17 great-fit crops · Also great there: macadamia, fig

    98%match
  12. 12

    🇧🇷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 17 great-fit crops · Also great there: wheat, macadamia

    97%match
  13. 13

    🇧🇷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: macadamia, tea, fig

    97%match
  14. 14

    🇧🇷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 17 great-fit crops · Also great there: macadamia, fig, wheat

    97%match
  15. 15

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

    96%match
  16. 16

    🇧🇴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: fig

    96%match
  17. 17

    🇧🇷BrasiléiaAcre, Brazil

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

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

    95%match
  18. 18

    🇧🇷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 17 great-fit crops · Also great there: macadamia, wheat

    95%match
  19. 19

    🇧🇴TrinidadBeni Department, Bolivia

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

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

    95%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 17 great-fit crops · Also great there: macadamia, wheat, fig

    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 Pontes e Lacerda: 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.