Climatch

Land with a climate like Patrocínio

🇧🇷Patrocínio, Minas Gerais, Brazil

The towns with the closest growing climate to Patrocínio are Presidente Olegário, Brazil (99% match), Sacramento and Ibiá. About 419,000 sq mi of land in 11 countries matches 80% or better, most of it in Minas Gerais, Brazil, Goiás, Brazil and São Paulo, Brazil.The towns with the closest growing climate to Patrocínio are Presidente Olegário, Brazil (99% match), Sacramento and Ibiá. About 1.1 million km² of land in 11 countries matches 80% or better, most of it in Minas Gerais, Brazil, Goiás, Brazil and São Paulo, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,622 mm rain

What grows in Patrocínio →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    161k sq mi416k km² matching 80% or better

    For example Presidente Olegário (99), Sacramento (99)

  2. 2

    🇧🇷Goiás, Brazil

    71k sq mi183k km² matching 80% or better

    For example Catalão (99), Cristalina (99)

  3. 3

    🇧🇷São Paulo, Brazil

    42k sq mi110k km² matching 80% or better

    For example Pedregulho (98), Altinópolis (95)

  4. 4

    🇨🇩Tanganyika, Democratic Republic of the Congo

    8,300 sq mi22k km² matching 80% or better

    For example Kalima (76), Nyunzu (75)

  5. 5

    🇹🇿Kigoma, Tanzania

    5,700 sq mi15k km² matching 80% or better

    For example Kibondo (84), Kasulu (82)

  6. 6

    🇱🇦Xiangkhoang, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Muang Phônsavan (92)

  7. 7

    🇦🇴Cuanza Norte, Angola

    3,500 sq mi9,200 km² matching 80% or better

    For example Camabatela (83), Dondo (82)

  8. 8

    🇱🇦Vientiane, Laos

    2,000 sq mi5,100 km² matching 80% or better

  9. 9

    🇱🇦Luang Prabang Province, Laos

    2,000 sq mi5,100 km² matching 80% or better

  10. 10

    🇦🇴Luanda Norte, Angola

    1,500 sq mi3,800 km² matching 80% or better

    For example Cuilo (79), Lubalo (75)

  11. 11

    🇲🇽Oaxaca, Mexico

    1,400 sq mi3,700 km² matching 80% or better

    For example Miahuatlán de Porfirio Díaz (57)

  12. 12

    🇧🇮Gitega, Burundi

    1,200 sq mi3,100 km² matching 80% or better

    For example Gitega (83), Zanandore (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

    🇧🇷Presidente OlegárioMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,449 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    99%match
  2. 2

    🇧🇷SacramentoMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,644 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  3. 3

    🇧🇷IbiáMinas Gerais, Brazil

    Zone 11a · No frost · 2 chill hours · 62 in rainZone 11a · No frost · 2 chill hours · 1,564 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  4. 4

    🇧🇷AraguariMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,636 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  5. 5

    🇧🇷CatalãoGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,457 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    99%match
  6. 6

    🇧🇷TupaciguaraMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,547 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  7. 7

    🇧🇷CristalinaGoiás, Brazil

    Zone 11a · No frost · 0 chill hours · 60 in rainZone 11a · No frost · 0 chill hours · 1,524 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  8. 8

    🇧🇷PedregulhoSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 64 in rainZone 11a · No frost · 0 chill hours · 1,614 mm rain

    Shares 23 of your 23 great-fit crops

    98%match
  9. 9

    🇧🇷Belo HorizonteMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 56 in rainZone 11a · No frost · 0 chill hours · 1,428 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: fig

    98%match
  10. 10

    🇧🇷Sete LagoasMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,233 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    97%match
  11. 11

    🇧🇷JaboticatubasMinas Gerais, Brazil

    Zone 11a · No frost · 2 chill hours · 49 in rainZone 11a · No frost · 2 chill hours · 1,233 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    97%match
  12. 12

    🇧🇷LuziâniaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,494 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    97%match
  13. 13

    🇧🇷BrasíliaFederal District, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,411 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    97%match
  14. 14

    🇧🇷PassosMinas Gerais, Brazil

    Zone 11a · No frost · 7 chill hours · 63 in rainZone 11a · No frost · 7 chill hours · 1,600 mm rain

    Shares 23 of your 23 great-fit crops

    97%match
  15. 15

    🇧🇷São GotardoMinas Gerais, Brazil

    Zone 11a · No frost · 8 chill hours · 61 in rainZone 11a · No frost · 8 chill hours · 1,557 mm rain

    Shares 22 of your 23 great-fit crops

    97%match
  16. 16

    🇧🇷Nova SerranaMinas Gerais, Brazil

    Zone 11a · No frost · 6 chill hours · 52 in rainZone 11a · No frost · 6 chill hours · 1,331 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    97%match
  17. 17

    🇧🇷IpameriGoiás, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,473 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    97%match
  18. 18

    🇧🇷DivinópolisMinas Gerais, Brazil

    Zone 11a · No frost · 3 chill hours · 54 in rainZone 11a · No frost · 3 chill hours · 1,367 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: fig

    97%match
  19. 19

    🇧🇷VazanteMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,424 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: fig

    96%match
  20. 20

    🇧🇷SilvâniaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,526 mm rain

    Shares 21 of your 23 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 Patrocínio: 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.