Climatch

Land with a climate like Presidente Médici

🇧🇷Presidente Médici, Rondônia, Brazil

The towns with the closest growing climate to Presidente Médici are Jaru, Brazil (99% match), Pimenta Bueno and Alta Floresta d'Oeste. About 1.1 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 Presidente Médici are Jaru, Brazil (99% match), Pimenta Bueno and Alta Floresta d'Oeste. About 2.8 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 · 81 in rainZone 12a · No frost · 0 chill hours · 2,049 mm rain

What grows in Presidente Médici →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    134k sq mi347k km² matching 80% or better

    For example Aripuanã (99), Comodoro (97)

  2. 2

    🇧🇷Rondônia, Brazil

    81k sq mi210k km² matching 80% or better

    For example Espigão dOeste (99), Jaru (99)

  3. 3

    🇧🇷Pará, Brazil

    63k sq mi164k km² matching 80% or better

    For example Ourilândia do Norte (97), Tucumã (97)

  4. 4

    🇨🇩Kwilu, Democratic Republic of the Congo

    23k sq mi59k km² matching 80% or better

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

  5. 5

    🇨🇲East, Cameroon

    20k sq mi51k km² matching 80% or better

    For example Abong Mbang (88), Bertoua (85)

  6. 6

    🇨🇲Centre, Cameroon

    15k sq mi38k km² matching 80% or better

    For example Nanga Eboko (85), Bafia (84)

  7. 7

    🇧🇴Beni Department, Bolivia

    11k sq mi30k km² matching 80% or better

    For example Guayaramerín (83), Trinidad (81)

  8. 8

    🇨🇮Montagnes, Ivory Coast

    10k sq mi26k km² matching 80% or better

    For example Mahapleu (88), Man (88)

  9. 9

    🇨🇩Sankuru, Democratic Republic of the Congo

    9,800 sq mi25k km² matching 80% or better

    For example Lusambo (82), Lukula (81)

  10. 10

    🇨🇩Kasai, Democratic Republic of the Congo

    8,600 sq mi22k km² matching 80% or better

    For example Mweka (82), Ilebo (81)

  11. 11

    🇸🇱Eastern Province, Sierra Leone

    8,000 sq mi21k km² matching 80% or better

    For example Koidu (89), Kenema (89)

  12. 12

    🇬🇳Nzérékoré Region, Guinea

    7,700 sq mi20k km² matching 80% or better

    For example Lola (90), Nzérékoré (89)

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

    🇧🇷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
  2. 2

    🇧🇷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 18 great-fit crops

    99%match
  3. 3

    🇧🇷Alta Floresta d'OesteRondônia, Brazil

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

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

    99%match
  4. 4

    🇧🇷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
  5. 5

    🇧🇷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
  6. 6

    🇧🇷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
  7. 7

    🇧🇷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

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

    99%match
  9. 9

    🇧🇷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

    99%match
  10. 10

    🇧🇷VilhenaRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 81 in rainZone 12a · No frost · 0 chill hours · 2,070 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: macadamia, wheat, canola (rapeseed)

    98%match
  11. 11

    🇧🇷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

    98%match
  12. 12

    🇧🇷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 18 great-fit crops

    97%match
  13. 13

    🇧🇷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 18 great-fit crops

    97%match
  14. 14

    🇧🇷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

    97%match
  15. 15

    🇧🇷ComodoroMato Grosso, Brazil

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

    Shares 18 of your 18 great-fit crops · Also great there: macadamia, wheat, canola (rapeseed)

    97%match
  16. 16

    🇧🇷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 18 great-fit crops

    97%match
  17. 17

    🇧🇷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 18 great-fit crops

    97%match
  18. 18

    🇧🇷São Félix do XinguPará, Brazil

    Zone 12b · No frost · 0 chill hours · 73 in rainZone 12b · No frost · 0 chill hours · 1,847 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  19. 19

    🇧🇷Água Azul do NortePará, Brazil

    Zone 12b · No frost · 0 chill hours · 68 in rainZone 12b · No frost · 0 chill hours · 1,730 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  20. 20

    🇧🇷SapezalMato Grosso, Brazil

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

    Shares 18 of your 18 great-fit crops · Also great there: wheat, macadamia, canola (rapeseed)

    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 Presidente Médici: 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.