Climatch

Land with a climate like Colorado do Oeste

🇧🇷Colorado do Oeste, Rondônia, Brazil

The towns with the closest growing climate to Colorado do Oeste are Comodoro, Brazil (99% match), Sapezal and Tangará da Serra. About 1.3 million sq mi of land in 16 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 Colorado do Oeste are Comodoro, Brazil (99% match), Sapezal and Tangará da Serra. About 3.3 million km² of land in 16 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 · 75 in rainZone 12a · No frost · 0 chill hours · 1,911 mm rain

What grows in Colorado do Oeste →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    157k sq mi406k km² matching 80% or better

    For example Comodoro (99), Sapezal (99)

  2. 2

    🇧🇷Rondônia, Brazil

    81k sq mi210k km² matching 80% or better

    For example Espigão dOeste (99), Alta Floresta d'Oeste (99)

  3. 3

    🇧🇷Pará, Brazil

    62k sq mi161k km² matching 80% or better

    For example Tucumã (96), Ourilândia do Norte (96)

  4. 4

    🇨🇲East, Cameroon

    21k sq mi55k km² matching 80% or better

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

  5. 5

    🇨🇩Kwilu, Democratic Republic of the Congo

    21k sq mi55k km² matching 80% or better

    For example Idiofa (85), Masi-Manimba (84)

  6. 6

    🇧🇴Beni Department, Bolivia

    16k sq mi41k km² matching 80% or better

    For example Trinidad (86), Guayaramerín (83)

  7. 7

    🇨🇲Centre, Cameroon

    12k sq mi31k km² matching 80% or better

    For example Nanga Eboko (85), Nkoteng (83)

  8. 8

    🇧🇴Santa Cruz Department, Bolivia

    11k sq mi30k km² matching 80% or better

    For example San Ignacio de Velasco (86), Ascención de Guarayos (81)

  9. 9

    🇨🇮Montagnes, Ivory Coast

    10k sq mi27k km² matching 80% or better

    For example Mahapleu (92), Man (91)

  10. 10

    🇨🇩Sankuru, Democratic Republic of the Congo

    9,500 sq mi25k km² matching 80% or better

    For example Lukula (81), Lusambo (80)

  11. 11

    🇬🇳Nzérékoré Region, Guinea

    9,200 sq mi24k km² matching 80% or better

    For example Lola (92), Nzérékoré (92)

  12. 12

    🇸🇱Eastern Province, Sierra Leone

    7,700 sq mi20k km² matching 80% or better

    For example Koidu (91), Kenema (87)

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

    🇧🇷ComodoroMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 77 in rainZone 11b · No frost · 0 chill hours · 1,955 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: canola (rapeseed), barley, coffee (arabica)

    99%match
  2. 2

    🇧🇷SapezalMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 79 in rainZone 11b · No frost · 0 chill hours · 2,003 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: canola (rapeseed)

    99%match
  3. 3

    🇧🇷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 17 of your 20 great-fit crops

    99%match
  4. 4

    🇧🇷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

    99%match
  5. 5

    🇧🇷Pimenta BuenoRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 77 in rainZone 12a · No frost · 0 chill hours · 1,956 mm rain

    Shares 18 of your 20 great-fit crops

    99%match
  6. 6

    🇧🇷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
  7. 7

    🇧🇷Presidente MédiciRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 81 in rainZone 12a · No frost · 0 chill hours · 2,049 mm rain

    Shares 18 of your 20 great-fit crops

    99%match
  8. 8

    🇧🇷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
  9. 9

    🇧🇷Campo Novo do ParecisMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 79 in rainZone 11b · No frost · 0 chill hours · 2,002 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  10. 10

    🇧🇷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

    99%match
  11. 11

    🇧🇷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 20 great-fit crops

    99%match
  12. 12

    🇧🇷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
  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 19 of your 20 great-fit crops · Also great there: fig

    98%match
  14. 14

    🇧🇷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 20 great-fit crops · Also great there: fig

    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 18 of your 20 great-fit crops

    97%match
  16. 16

    🇧🇷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
  17. 17

    🇧🇷JuínaMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 81 in rainZone 12a · No frost · 0 chill hours · 2,048 mm rain

    Shares 17 of your 20 great-fit crops

    97%match
  18. 18

    🇧🇷BrasnorteMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 83 in rainZone 12a · No frost · 0 chill hours · 2,111 mm rain

    Shares 17 of your 20 great-fit crops

    97%match
  19. 19

    🇧🇷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
  20. 20

    🇧🇷TucumãPará, 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 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 Colorado do Oeste: 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.