Climatch

Land with a climate like Rolim de Moura do Guaporé

🇧🇷Rolim de Moura do Guaporé, Rondônia, Brazil

The towns with the closest growing climate to Rolim de Moura do Guaporé are São Francisco do Guaporé, Brazil (99% match), Cerejeiras and São Miguel do Guaporé. About 1.5 million sq mi of land in 24 countries matches 80% or better, most of it in Mato Grosso, Brazil, Pará, Brazil and Rondônia, Brazil.The towns with the closest growing climate to Rolim de Moura do Guaporé are São Francisco do Guaporé, Brazil (99% match), Cerejeiras and São Miguel do Guaporé. About 3.9 million km² of land in 24 countries matches 80% or better, most of it in Mato Grosso, Brazil, Pará, Brazil and Rondônia, Brazil.

Your growing climate

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

What grows in Rolim de Moura do Guaporé →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    148k sq mi383k km² matching 80% or better

    For example Vila Bela da Santíssima Trindade (98), Aripuanã (98)

  2. 2

    🇧🇷Pará, Brazil

    88k sq mi227k km² matching 80% or better

    For example Xinguara (97), Rio Maria (97)

  3. 3

    🇧🇷Rondônia, Brazil

    81k sq mi210k km² matching 80% or better

    For example São Francisco do Guaporé (99), Cerejeiras (99)

  4. 4

    🇨🇩Kwilu, Democratic Republic of the Congo

    29k sq mi74k km² matching 80% or better

    For example Masi-Manimba (92), Bulungu (91)

  5. 5

    🇨🇲East, Cameroon

    21k sq mi56k km² matching 80% or better

    For example Abong Mbang (90), Batouri (88)

  6. 6

    🇧🇴Beni Department, Bolivia

    19k sq mi48k km² matching 80% or better

    For example Riberalta (91), Guayaramerín (91)

  7. 7

    🇨🇩Kasai, Democratic Republic of the Congo

    16k sq mi42k km² matching 80% or better

    For example Ilebo (88), Mweka (86)

  8. 8

    🇨🇲Centre, Cameroon

    16k sq mi41k km² matching 80% or better

    For example Bafia (92), Nanga Eboko (90)

  9. 9

    🇧🇴Santa Cruz Department, Bolivia

    14k sq mi36k km² matching 80% or better

    For example San Ignacio de Velasco (90), Ascención de Guarayos (88)

  10. 10

    🇨🇩Lomami, Democratic Republic of the Congo

    13k sq mi35k km² matching 80% or better

    For example Lubao (81), Kabinda (80)

  11. 11

    🇨🇮Montagnes, Ivory Coast

    11k sq mi28k km² matching 80% or better

    For example Logoualé (90), Gohouo (90)

  12. 12

    🇨🇬Plateaux, Republic of the Congo

    8,400 sq mi22k km² matching 80% or better

    For example Gamboma (81), Djambala (78)

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

    🇧🇷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 18 of your 20 great-fit crops

    99%match
  2. 2

    🇧🇷CerejeirasRondônia, Brazil

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

    Shares 18 of your 20 great-fit crops · Also great there: wheat

    99%match
  3. 3

    🇧🇷São Miguel do GuaporéRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 69 in rainZone 12b · No frost · 0 chill hours · 1,741 mm rain

    Shares 19 of your 20 great-fit crops

    99%match
  4. 4

    🇧🇷Rolim de MouraRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 69 in rainZone 12a · No frost · 0 chill hours · 1,751 mm rain

    Shares 19 of your 20 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 17 of your 20 great-fit crops

    98%match
  6. 6

    🇧🇷AripuanãMato Grosso, Brazil

    Zone 12b · No frost · 0 chill hours · 80 in rainZone 12b · No frost · 0 chill hours · 2,027 mm rain

    Shares 16 of your 20 great-fit crops

    98%match
  7. 7

    🇧🇷CacoalRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 81 in rainZone 12a · No frost · 0 chill hours · 2,062 mm rain

    Shares 18 of your 20 great-fit crops

    98%match
  8. 8

    🇧🇷Espigão dOesteRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 80 in rainZone 12a · No frost · 0 chill hours · 2,036 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: wheat

    97%match
  9. 9

    🇧🇷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 17 of your 20 great-fit crops

    97%match
  10. 10

    🇧🇷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 20 great-fit crops

    97%match
  11. 11

    🇧🇷XinguaraPará, Brazil

    Zone 12b · No frost · 0 chill hours · 66 in rainZone 12b · No frost · 0 chill hours · 1,664 mm rain

    Shares 17 of your 20 great-fit crops

    97%match
  12. 12

    🇧🇷Monte NegroRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 83 in rainZone 12b · No frost · 0 chill hours · 2,096 mm rain

    Shares 18 of your 20 great-fit crops

    97%match
  13. 13

    🇧🇷ColnizaMato Grosso, Brazil

    Zone 12b · No frost · 0 chill hours · 78 in rainZone 12b · No frost · 0 chill hours · 1,987 mm rain

    Shares 16 of your 20 great-fit crops

    97%match
  14. 14

    🇧🇷JaruRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 82 in rainZone 12b · No frost · 0 chill hours · 2,086 mm rain

    Shares 18 of your 20 great-fit crops

    97%match
  15. 15

    🇧🇷RedençãoPará, Brazil

    Zone 12b · No frost · 0 chill hours · 67 in rainZone 12b · No frost · 0 chill hours · 1,710 mm rain

    Shares 16 of your 20 great-fit crops

    97%match
  16. 16

    🇧🇷Cumaru do NortePará, Brazil

    Zone 12b · No frost · 0 chill hours · 71 in rainZone 12b · No frost · 0 chill hours · 1,794 mm rain

    Shares 17 of your 20 great-fit crops

    97%match
  17. 17

    🇧🇷Floresta do AraguaiaPará, Brazil

    Zone 12b · No frost · 0 chill hours · 65 in rainZone 12b · No frost · 0 chill hours · 1,648 mm rain

    Shares 16 of your 20 great-fit crops

    97%match
  18. 18

    🇧🇷AriquemesRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 88 in rainZone 12b · No frost · 0 chill hours · 2,223 mm rain

    Shares 18 of your 20 great-fit crops

    96%match
  19. 19

    🇧🇷Ouro Preto do OesteRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 80 in rainZone 12a · No frost · 0 chill hours · 2,024 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: wheat

    96%match
  20. 20

    🇧🇷BrasiléiaAcre, Brazil

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

    Shares 19 of your 20 great-fit crops

    96%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 Rolim de Moura do Guaporé: 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.