Climatch

Land with a climate like Pirenópolis

🇧🇷Pirenópolis, Goiás, Brazil

The towns with the closest growing climate to Pirenópolis are Itaberaí, Brazil (99% match), Aparecida de Goiânia and Anicuns. About 780,000 sq mi of land in 16 countries matches 80% or better, most of it in Goiás, Brazil, Mato Grosso, Brazil and Minas Gerais, Brazil.The towns with the closest growing climate to Pirenópolis are Itaberaí, Brazil (99% match), Aparecida de Goiânia and Anicuns. About 2.0 million km² of land in 16 countries matches 80% or better, most of it in Goiás, Brazil, Mato Grosso, Brazil and Minas Gerais, Brazil.

Your growing climate

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

What grows in Pirenópolis →

Regions with the most land like yours

  1. 1

    🇧🇷Goiás, Brazil

    123k sq mi318k km² matching 80% or better

    For example Goianira (99), Senador Canedo (99)

  2. 2

    🇧🇷Mato Grosso, Brazil

    117k sq mi302k km² matching 80% or better

    For example Barra do Garças (94), Água Boa (90)

  3. 3

    🇧🇷Minas Gerais, Brazil

    74k sq mi191k km² matching 80% or better

    For example Vazante (97), Uberlândia (95)

  4. 4

    🇨🇩Tanganyika, Democratic Republic of the Congo

    27k sq mi70k km² matching 80% or better

    For example Kalima (88), Nyunzu (88)

  5. 5

    🇦🇴Luanda Norte, Angola

    20k sq mi51k km² matching 80% or better

    For example Lucapa (84), Chitato (83)

  6. 6

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    13k sq mi34k km² matching 80% or better

    For example Kanyama (87), Kamina (84)

  7. 7

    🇹🇿Kigoma, Tanzania

    12k sq mi31k km² matching 80% or better

    For example Mwandiga (90), Kigoma (87)

  8. 8

    🇨🇲Adamaoua, Cameroon

    11k sq mi29k km² matching 80% or better

    For example Tibati (84), Ngaoundal (83)

  9. 9

    🇨🇩Lomami, Democratic Republic of the Congo

    8,900 sq mi23k km² matching 80% or better

    For example Luputa (84), Mwene-Ditu (82)

  10. 10

    🇨🇫Nana-Mambéré, Central African Republic

    8,300 sq mi22k km² matching 80% or better

    For example Baboua (85), Abba (84)

  11. 11

    🇨🇲East, Cameroon

    7,400 sq mi19k km² matching 80% or better

    For example Garoua Boulaï (86), Bélabo (79)

  12. 12

    🇨🇲West, Cameroon

    5,400 sq mi14k km² matching 80% or better

    For example Foumban (84), Magba (84)

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

    🇧🇷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 20 great-fit crops

    99%match
  2. 2

    🇧🇷Aparecida de GoiâniaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 62 in rainZone 12a · No frost · 0 chill hours · 1,584 mm rain

    Shares 19 of your 20 great-fit crops

    99%match
  3. 3

    🇧🇷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 20 great-fit crops

    99%match
  4. 4

    🇧🇷SilvâniaGoiás, Brazil

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

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

    99%match
  5. 5

    🇧🇷GoiâniaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 65 in rainZone 12a · No frost · 0 chill hours · 1,648 mm rain

    Shares 18 of your 20 great-fit crops

    99%match
  6. 6

    🇧🇷Santo Antônio do DescobertoGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 58 in rainZone 11b · No frost · 0 chill hours · 1,472 mm rain

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

    99%match
  7. 7

    🇧🇷ItapurangaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 62 in rainZone 12a · No frost · 0 chill hours · 1,574 mm rain

    Shares 17 of your 20 great-fit crops

    99%match
  8. 8

    🇧🇷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 20 great-fit crops

    99%match
  9. 9

    🇧🇷CeresGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,519 mm rain

    Shares 17 of your 20 great-fit crops

    99%match
  10. 10

    🇧🇷São Luís de Montes BelosGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 63 in rainZone 12a · No frost · 0 chill hours · 1,592 mm rain

    Shares 17 of your 20 great-fit crops

    99%match
  11. 11

    🇧🇷IporáGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,561 mm rain

    Shares 18 of your 20 great-fit crops

    98%match
  12. 12

    🇧🇷PontalinaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,516 mm rain

    Shares 18 of your 20 great-fit crops

    98%match
  13. 13

    🇧🇷IndiaraGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 62 in rainZone 12a · No frost · 0 chill hours · 1,567 mm rain

    Shares 18 of your 20 great-fit crops

    98%match
  14. 14

    🇧🇷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 20 great-fit crops

    98%match
  15. 15

    🇧🇷MorrinhosGoiás, Brazil

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

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

    98%match
  16. 16

    🇧🇷Padre BernardoGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 54 in rainZone 12a · No frost · 0 chill hours · 1,372 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: fig

    98%match
  17. 17

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

    97%match
  18. 18

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

    97%match
  19. 19

    🇧🇷ItapaciGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,432 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: fig

    97%match
  20. 20

    🇧🇷GoiatubaGoiás, Brazil

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

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

    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 Pirenópolis: 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.