Climatch

Land with a climate like Silvânia, Brazil

🇧🇷Silvânia, Goiás, Brazil

The towns with the closest growing climate to Silvânia, Brazil are Piracanjuba, Brazil (99% match), Morrinhos and Catalão. About 767,000 sq mi of land in 15 countries matches 80% or better, most of it in Minas Gerais, Brazil, Goiás, Brazil and Mato Grosso, Brazil.The towns with the closest growing climate to Silvânia, Brazil are Piracanjuba, Brazil (99% match), Morrinhos and Catalão. About 2.0 million km² of land in 15 countries matches 80% or better, most of it in Minas Gerais, Brazil, Goiás, Brazil and Mato Grosso, Brazil.

Your growing climate

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

What grows in Silvânia, Brazil →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    106k sq mi275k km² matching 80% or better

    For example Vazante (99), Uberlândia (99)

  2. 2

    🇧🇷Goiás, Brazil

    106k sq mi275k km² matching 80% or better

    For example Santo Antônio do Descoberto (99), Cocalzinho de Goiás (99)

  3. 3

    🇧🇷Mato Grosso, Brazil

    92k sq mi239k km² matching 80% or better

    For example Alto Araguaia (96), Campo Verde (94)

  4. 4

    🇦🇴Luanda Norte, Angola

    31k sq mi80k km² matching 80% or better

    For example Cuilo (88), Lucapa (86)

  5. 5

    🇨🇩Tanganyika, Democratic Republic of the Congo

    26k sq mi66k km² matching 80% or better

    For example Kalima (90), Nyunzu (90)

  6. 6

    🇹🇿Kigoma, Tanzania

    13k sq mi35k km² matching 80% or better

    For example Kasulu (88), Mwandiga (87)

  7. 7

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    13k sq mi35k km² matching 80% or better

    For example Kanyama (90), Kamina (86)

  8. 8

    🇦🇴Malanje, Angola

    12k sq mi30k km² matching 80% or better

    For example Cacuso (87), Bailundo (85)

  9. 9

    🇨🇲Adamaoua, Cameroon

    11k sq mi29k km² matching 80% or better

    For example Ngaoundal (82), Banyo (82)

  10. 10

    🇨🇩Lomami, Democratic Republic of the Congo

    9,800 sq mi25k km² matching 80% or better

    For example Luputa (84), Mwene-Ditu (83)

  11. 11

    🇦🇴Lunda Sul, Angola

    6,500 sq mi17k km² matching 80% or better

    For example Saurimo (83)

  12. 12

    🇨🇲East, Cameroon

    6,300 sq mi16k km² matching 80% or better

    For example Garoua Boulaï (88), Bélabo (77)

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

    🇧🇷PiracanjubaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,534 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  2. 2

    🇧🇷MorrinhosGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,523 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  3. 3

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

    99%match
  4. 4

    🇧🇷Plano PilotoFederal District, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,423 mm rain

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

    99%match
  5. 5

    🇧🇷FormosaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,354 mm rain

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

    99%match
  6. 6

    🇧🇷Pires do RioGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 58 in rainZone 11b · No frost · 0 chill hours · 1,483 mm rain

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

    99%match
  7. 7

    🇧🇷GoiatubaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,538 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  8. 8

    🇧🇷CaiapôniaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,554 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  9. 9

    🇧🇷PirenópolisGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 63 in rainZone 12a · No frost · 0 chill hours · 1,607 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  10. 10

    🇧🇷Caldas NovasGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,496 mm rain

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

    99%match
  11. 11

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

    99%match
  12. 12

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

    99%match
  13. 13

    🇧🇷AnicunsGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 64 in rainZone 12a · No frost · 0 chill hours · 1,614 mm rain

    Shares 19 of your 21 great-fit crops

    99%match
  14. 14

    🇧🇷UberlândiaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,641 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  15. 15

    🇧🇷TrindadeGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 63 in rainZone 12a · No frost · 0 chill hours · 1,590 mm rain

    Shares 18 of your 21 great-fit crops

    99%match
  16. 16

    🇧🇷João PinheiroMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,262 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: fig

    99%match
  17. 17

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

    99%match
  18. 18

    🇧🇷ItaberaíGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 64 in rainZone 12a · No frost · 0 chill hours · 1,616 mm rain

    Shares 18 of your 21 great-fit crops

    99%match
  19. 19

    🇧🇷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 21 great-fit crops

    99%match
  20. 20

    🇧🇷Rio VerdeGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 63 in rainZone 11b · No frost · 0 chill hours · 1,610 mm rain

    Shares 21 of your 21 great-fit crops

    99%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 Silvânia, Brazil: 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.