Climatch

Land with a climate like Minaçu

🇧🇷Minaçu, Goiás, Brazil

The towns with the closest growing climate to Minaçu are Porangatu, Brazil (99% match), Uruaçu and Crixás. About 639,000 sq mi of land in 15 countries matches 80% or better, most of it in Goiás, Brazil, Mato Grosso, Brazil and Bahia, Brazil.The towns with the closest growing climate to Minaçu are Porangatu, Brazil (99% match), Uruaçu and Crixás. About 1.7 million km² of land in 15 countries matches 80% or better, most of it in Goiás, Brazil, Mato Grosso, Brazil and Bahia, Brazil.

Your growing climate

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

What grows in Minaçu →

Regions with the most land like yours

  1. 1

    🇧🇷Goiás, Brazil

    84k sq mi217k km² matching 80% or better

    For example Porangatu (99), Uruaçu (99)

  2. 2

    🇧🇷Mato Grosso, Brazil

    52k sq mi136k km² matching 80% or better

    For example Canarana (94), Água Boa (94)

  3. 3

    🇧🇷Bahia, Brazil

    47k sq mi122k km² matching 80% or better

    For example Luis Eduardo Magalhães (96), São Desidério (94)

  4. 4

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    18k sq mi47k km² matching 80% or better

    For example Malemba-Nkulu (90), Kipamba (89)

  5. 5

    🇨🇩Tanganyika, Democratic Republic of the Congo

    12k sq mi32k km² matching 80% or better

    For example Manono (89), Nyunzu (82)

  6. 6

    🇨🇲Adamaoua, Cameroon

    9,800 sq mi25k km² matching 80% or better

    For example Tibati (86), Ngaoundal (83)

  7. 7

    🇿🇲Luapula Province, Zambia

    6,200 sq mi16k km² matching 80% or better

    For example Nchelenge (86), Chiengi (84)

  8. 8

    🇨🇫Ouham-Fafa, Central African Republic

    5,600 sq mi15k km² matching 80% or better

    For example Bouca (81), Batangafo (79)

  9. 9

    🇳🇬Taraba State, Nigeria

    5,000 sq mi13k km² matching 80% or better

    For example Beli (78), Wukari (77)

  10. 10

    🇨🇫Haute-Kotto, Central African Republic

    4,200 sq mi11k km² matching 80% or better

    For example Bria (83)

  11. 11

    🇨🇩Haut-Katanga, Democratic Republic of the Congo

    4,100 sq mi11k km² matching 80% or better

    For example Pweto (86)

  12. 12

    🇹🇿Kigoma, Tanzania

    3,300 sq mi8,500 km² matching 80% or better

    For example Kigoma (86), Mwandiga (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

    🇧🇷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 17 great-fit crops

    99%match
  2. 2

    🇧🇷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 17 great-fit crops

    99%match
  3. 3

    🇧🇷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 17 great-fit crops

    99%match
  4. 4

    🇧🇷São Miguel do AraguaiaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 58 in rainZone 12a · No frost · 0 chill hours · 1,466 mm rain

    Shares 15 of your 17 great-fit crops

    99%match
  5. 5

    🇧🇷Campos BelosGoiás, Brazil

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

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

    99%match
  6. 6

    🇧🇷GurupiTocantins, Brazil

    Zone 12a · No frost · 0 chill hours · 61 in rainZone 12a · No frost · 0 chill hours · 1,542 mm rain

    Shares 15 of your 17 great-fit crops

    99%match
  7. 7

    🇧🇷NiquelândiaGoiás, Brazil

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

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

    99%match
  8. 8

    🇧🇷Formoso do AraguaiaTocantins, Brazil

    Zone 12b · No frost · 0 chill hours · 60 in rainZone 12b · No frost · 0 chill hours · 1,517 mm rain

    Shares 14 of your 17 great-fit crops

    99%match
  9. 9

    🇧🇷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 17 great-fit crops · Also great there: wheat

    99%match
  10. 10

    🇧🇷DianópolisTocantins, Brazil

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

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

    99%match
  11. 11

    🇧🇷MozarlândiaGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 57 in rainZone 12a · No frost · 0 chill hours · 1,454 mm rain

    Shares 16 of your 17 great-fit crops

    97%match
  12. 12

    🇧🇷Padre BernardoGoiás, Brazil

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

    Shares 17 of your 17 great-fit crops · Also great there: wheat, canola (rapeseed)

    97%match
  13. 13

    🇧🇷GoianésiaGoiás, Brazil

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

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

    97%match
  14. 14

    🇧🇷CeresGoiás, Brazil

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

    Shares 16 of your 17 great-fit crops · Also great there: wheat

    97%match
  15. 15

    🇧🇷Luis Eduardo MagalhãesBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,182 mm rain

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

    96%match
  16. 16

    🇧🇷PosseGoiás, Brazil

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

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

    95%match
  17. 17

    🇧🇷Porto NacionalTocantins, Brazil

    Zone 12a · No frost · 0 chill hours · 58 in rainZone 12a · No frost · 0 chill hours · 1,480 mm rain

    Shares 16 of your 17 great-fit crops

    95%match
  18. 18

    🇧🇷CanaranaMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,492 mm rain

    Shares 15 of your 17 great-fit crops

    94%match
  19. 19

    🇧🇷BalsasMaranhão, Brazil

    Zone 12b · No frost · 0 chill hours · 43 in rainZone 12b · No frost · 0 chill hours · 1,102 mm rain

    Shares 15 of your 17 great-fit crops

    94%match
  20. 20

    🇧🇷Água BoaMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,439 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: wheat

    94%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 Minaçu: 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.