Climatch

Land with a climate like Padre Bernardo

🇧🇷Padre Bernardo, Goiás, Brazil

The towns with the closest growing climate to Padre Bernardo are Niquelândia, Brazil (99% match), Goianésia and Itapaci. About 872,000 sq mi of land in 16 countries matches 80% or better, most of it in Goiás, Brazil, Minas Gerais, Brazil and Mato Grosso, Brazil.The towns with the closest growing climate to Padre Bernardo are Niquelândia, Brazil (99% match), Goianésia and Itapaci. About 2.3 million km² of land in 16 countries matches 80% or better, most of it in Goiás, Brazil, Minas Gerais, Brazil and Mato Grosso, Brazil.

Your growing climate

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

What grows in Padre Bernardo →

Regions with the most land like yours

  1. 1

    🇧🇷Goiás, Brazil

    123k sq mi318k km² matching 80% or better

    For example Niquelândia (99), Goianésia (99)

  2. 2

    🇧🇷Minas Gerais, Brazil

    82k sq mi211k km² matching 80% or better

    For example Arinos (98), Buritis (98)

  3. 3

    🇧🇷Mato Grosso, Brazil

    74k sq mi191k km² matching 80% or better

    For example Água Boa (97), Barra do Garças (96)

  4. 4

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    25k sq mi65k km² matching 80% or better

    For example Kamina (91), Malemba-Nkulu (87)

  5. 5

    🇨🇩Tanganyika, Democratic Republic of the Congo

    22k sq mi58k km² matching 80% or better

    For example Nyunzu (89), Manono (89)

  6. 6

    🇦🇴Luanda Norte, Angola

    19k sq mi50k km² matching 80% or better

    For example Lucapa (86), Cuango-Luzamba (85)

  7. 7

    🇨🇲Adamaoua, Cameroon

    18k sq mi46k km² matching 80% or better

    For example Tibati (90), Ngaoundal (90)

  8. 8

    🇦🇴Malanje, Angola

    15k sq mi38k km² matching 80% or better

    For example Cacuso (84), Cambundi (84)

  9. 9

    🇹🇿Kigoma, Tanzania

    13k sq mi34k km² matching 80% or better

    For example Mwandiga (92), Uvinza (91)

  10. 10

    🇨🇩Lualaba, Democratic Republic of the Congo

    9,700 sq mi25k km² matching 80% or better

    For example Mwene (87), Malemba (75)

  11. 11

    🇨🇫Nana-Mambéré, Central African Republic

    6,800 sq mi18k km² matching 80% or better

    For example Baboua (84), Bouar (84)

  12. 12

    🇿🇲Luapula Province, Zambia

    6,200 sq mi16k km² matching 80% or better

    For example Nchelenge (83), Mwansabombwe (81)

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

    🇧🇷NiquelândiaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,417 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  2. 2

    🇧🇷GoianésiaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 57 in rainZone 12a · No frost · 0 chill hours · 1,445 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  3. 3

    🇧🇷ItapaciGoiás, Brazil

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

    Shares 18 of your 19 great-fit crops

    99%match
  4. 4

    🇧🇷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 19 great-fit crops

    99%match
  5. 5

    🇧🇷UruaçuGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,435 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  6. 6

    🇧🇷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 19 great-fit crops

    99%match
  7. 7

    🇧🇷JaraguáGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 62 in rainZone 12a · No frost · 0 chill hours · 1,572 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  8. 8

    🇧🇷PosseGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 52 in rainZone 12a · No frost · 0 chill hours · 1,316 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  9. 9

    🇧🇷CrixásGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 55 in rainZone 12a · No frost · 0 chill hours · 1,401 mm rain

    Shares 16 of your 19 great-fit crops

    99%match
  10. 10

    🇧🇷Campos BelosGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,340 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  11. 11

    🇧🇷DianópolisTocantins, Brazil

    Zone 12a · No frost · 0 chill hours · 52 in rainZone 12a · No frost · 0 chill hours · 1,316 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  12. 12

    🇧🇷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 19 great-fit crops

    99%match
  13. 13

    🇧🇷ArinosMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,099 mm rain

    Shares 19 of your 19 great-fit crops

    98%match
  14. 14

    🇧🇷BuritisMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,099 mm rain

    Shares 19 of your 19 great-fit crops

    98%match
  15. 15

    🇧🇷UnaíMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,272 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: barley

    98%match
  16. 16

    🇧🇷PirenópolisGoiás, Brazil

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

    Shares 18 of your 19 great-fit crops · Also great there: barley, coffee (arabica)

    98%match
  17. 17

    🇧🇷MinaçuGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 55 in rainZone 12a · No frost · 0 chill hours · 1,386 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  18. 18

    🇧🇷Brasilândia de MinasMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,069 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  19. 19

    🇧🇷PorangatuGoiás, Brazil

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

    Shares 16 of your 19 great-fit crops

    97%match
  20. 20

    🇧🇷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 19 of your 19 great-fit crops · Also great there: barley, coffee (arabica), 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 Padre Bernardo: 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.