Climatch

Land with a climate like São Francisco do Guaporé

🇧🇷São Francisco do Guaporé, Rondônia, Brazil

The towns with the closest growing climate to São Francisco do Guaporé are São Miguel do Guaporé, Brazil (99% match), Rolim de Moura do Guaporé and Buritis. About 1.6 million sq mi of land in 19 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 São Francisco do Guaporé are São Miguel do Guaporé, Brazil (99% match), Rolim de Moura do Guaporé and Buritis. About 4.0 million km² of land in 19 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 · 64 in rainZone 12b · No frost · 0 chill hours · 1,620 mm rain

What grows in São Francisco do Guaporé →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    134k sq mi347k km² matching 80% or better

    For example Colniza (97), Aripuanã (97)

  2. 2

    🇧🇷Pará, Brazil

    98k sq mi255k km² matching 80% or better

    For example Canaã dos Carajás (97), Xinguara (97)

  3. 3

    🇧🇷Rondônia, Brazil

    81k sq mi210k km² matching 80% or better

    For example São Miguel do Guaporé (99), Rolim de Moura do Guaporé (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

    🇧🇴Beni Department, Bolivia

    22k sq mi56k km² matching 80% or better

    For example Guayaramerín (97), Riberalta (95)

  6. 6

    🇨🇲East, Cameroon

    19k sq mi50k km² matching 80% or better

    For example Abong Mbang (90), Bertoua (87)

  7. 7

    🇨🇲Centre, Cameroon

    18k sq mi47k km² matching 80% or better

    For example Bafia (92), Mbandjok (90)

  8. 8

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    17k sq mi43k km² matching 80% or better

    For example Dungu (88), Mushie (86)

  9. 9

    🇨🇩Maniema, Democratic Republic of the Congo

    16k sq mi41k km² matching 80% or better

    For example Kasongo (84), Kampene (83)

  10. 10

    🇧🇴Santa Cruz Department, Bolivia

    14k sq mi36k km² matching 80% or better

    For example Ascención de Guarayos (88), San Ignacio de Velasco (86)

  11. 11

    🇨🇮Montagnes, Ivory Coast

    11k sq mi28k km² matching 80% or better

    For example Logoualé (90), Gohouo (90)

  12. 12

    🇨🇬Likouala, Republic of the Congo

    9,300 sq mi24k km² matching 80% or better

    For example Bétou (82), Mindouli (82)

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 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 18 of your 18 great-fit crops · Also great there: macadamia

    99%match
  2. 2

    🇧🇷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 18 of your 18 great-fit crops · Also great there: macadamia, fig

    99%match
  3. 3

    🇧🇷BuritisRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 86 in rainZone 12b · No frost · 0 chill hours · 2,173 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  4. 4

    🇧🇷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 18 great-fit crops · Also great there: wheat

    99%match
  5. 5

    🇧🇷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 18 great-fit crops

    99%match
  6. 6

    🇧🇷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 18 great-fit crops

    99%match
  7. 7

    🇧🇷BrasiléiaAcre, Brazil

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

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

    99%match
  8. 8

    🇧🇷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 18 great-fit crops

    99%match
  9. 9

    🇧🇷XapuriAcre, Brazil

    Zone 12b · No frost · 0 chill hours · 71 in rainZone 12b · No frost · 0 chill hours · 1,813 mm rain

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

    99%match
  10. 10

    🇧🇷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 18 great-fit crops

    98%match
  11. 11

    🇧🇷Nova MamoréRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 72 in rainZone 12b · No frost · 0 chill hours · 1,840 mm rain

    Shares 16 of your 18 great-fit crops

    98%match
  12. 12

    🇧🇷Machadinho d'OesteRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 92 in rainZone 12b · No frost · 0 chill hours · 2,337 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  13. 13

    🇧🇷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 18 great-fit crops · Also great there: wheat

    98%match
  14. 14

    🇧🇷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 18 great-fit crops

    97%match
  15. 15

    🇧🇷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 18 of your 18 great-fit crops · Also great there: macadamia

    97%match
  16. 16

    🇧🇷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 18 great-fit crops

    97%match
  17. 17

    🇧🇷Canaã dos CarajásPará, Brazil

    Zone 12b · No frost · 0 chill hours · 65 in rainZone 12b · No frost · 0 chill hours · 1,653 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  18. 18

    🇧🇷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 18 great-fit crops

    97%match
  19. 19

    🇧🇷Ji ParanáRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 85 in rainZone 12a · No frost · 0 chill hours · 2,168 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  20. 20

    🇧🇷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 18 great-fit crops

    97%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 São Francisco 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.