Climatch

Land with a climate like Mineiros

🇧🇷Mineiros, Goiás, Brazil

The towns with the closest growing climate to Mineiros are Alto Araguaia, Brazil (99% match), Jataí and Chapadão do Sul. About 639,000 sq mi of land in 16 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso, Brazil and Goiás, Brazil.The towns with the closest growing climate to Mineiros are Alto Araguaia, Brazil (99% match), Jataí and Chapadão do Sul. About 1.7 million km² of land in 16 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso, Brazil and Goiás, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,616 mm rain

What grows in Mineiros →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    126k sq mi325k km² matching 80% or better

    For example Uberaba (99), Prata (99)

  2. 2

    🇧🇷Mato Grosso, Brazil

    94k sq mi242k km² matching 80% or better

    For example Alto Araguaia (99), Campo Verde (99)

  3. 3

    🇧🇷Goiás, Brazil

    76k sq mi196k km² matching 80% or better

    For example Jataí (99), Rio Verde (99)

  4. 4

    🇨🇩Tanganyika, Democratic Republic of the Congo

    13k sq mi34k km² matching 80% or better

    For example Kalima (83), Nyunzu (79)

  5. 5

    🇨🇩Lomami, Democratic Republic of the Congo

    7,100 sq mi18k km² matching 80% or better

    For example Mwene-Ditu (83), Kabinda (82)

  6. 6

    🇬🇳Nzérékoré Region, Guinea

    6,800 sq mi18k km² matching 80% or better

    For example Beyla (84), Moussadou (84)

  7. 7

    🇦🇴Luanda Norte, Angola

    5,300 sq mi14k km² matching 80% or better

    For example Cuilo (83), Lucapa (74)

  8. 8

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    4,400 sq mi12k km² matching 80% or better

    For example Kanyama (84), Kamina (62)

  9. 9

    🇱🇦Luang Prabang Province, Laos

    4,200 sq mi11k km² matching 80% or better

    For example Luang Prabang (61)

  10. 10

    🇲🇲Shan State, Myanmar

    3,900 sq mi10k km² matching 80% or better

    For example Kēng Tung (75), Möng Yawng (75)

  11. 11

    🇱🇦Oudômxai, Laos

    3,400 sq mi8,700 km² matching 80% or better

    For example Muang Xay (80)

  12. 12

    🇱🇦Bokeo, Laos

    3,100 sq mi8,000 km² matching 80% or better

    For example Ban Khoan (61), Ban Houakhoua (59)

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

    🇧🇷Alto AraguaiaMato Grosso, Brazil

    Zone 11a · No frost · 0 chill hours · 63 in rainZone 11a · No frost · 0 chill hours · 1,609 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  2. 2

    🇧🇷JataíGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,613 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  3. 3

    🇧🇷Chapadão do SulMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,531 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  4. 4

    🇧🇷UberabaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,649 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  5. 5

    🇧🇷Costa RicaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,503 mm rain

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

    99%match
  6. 6

    🇧🇷PrataMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,525 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  7. 7

    🇧🇷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
  8. 8

    🇧🇷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 23 great-fit crops

    99%match
  9. 9

    🇧🇷Campo VerdeMato Grosso, Brazil

    Zone 11a · No frost · 0 chill hours · 63 in rainZone 11a · No frost · 0 chill hours · 1,611 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  10. 10

    🇧🇷Chapada dos GuimarãesMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 58 in rainZone 11b · No frost · 0 chill hours · 1,470 mm rain

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

    99%match
  11. 11

    🇧🇷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 23 great-fit crops

    99%match
  12. 12

    🇧🇷CassilândiaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,454 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: fig

    99%match
  13. 13

    🇧🇷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 23 great-fit crops

    99%match
  14. 14

    🇧🇷Conceição das AlagoasMinas Gerais, Brazil

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

    Shares 19 of your 23 great-fit crops

    99%match
  15. 15

    🇧🇷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 23 great-fit crops

    98%match
  16. 16

    🇧🇷QuirinópolisGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,521 mm rain

    Shares 19 of your 23 great-fit crops

    98%match
  17. 17

    🇧🇷São Joaquim da BarraSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,499 mm rain

    Shares 21 of your 23 great-fit crops

    98%match
  18. 18

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

    98%match
  19. 19

    🇧🇷São SimãoGoiás, Brazil

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

    Shares 19 of your 23 great-fit crops · Also great there: fig

    98%match
  20. 20

    🇧🇷Bom Jesus de GoiásGoiás, Brazil

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

    Shares 19 of your 23 great-fit crops

    98%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 Mineiros: 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.