Climatch

Land with a climate like Jataí

🇧🇷Jataí, Goiás, Brazil

The towns with the closest growing climate to Jataí are Rio Verde, Brazil (99% match), Mineiros and Alto Araguaia. About 765,000 sq mi of land in 19 countries matches 80% or better, most of it in Mato Grosso, Brazil, Minas Gerais, Brazil and Goiás, Brazil.The towns with the closest growing climate to Jataí are Rio Verde, Brazil (99% match), Mineiros and Alto Araguaia. About 2.0 million km² of land in 19 countries matches 80% or better, most of it in Mato Grosso, Brazil, Minas Gerais, Brazil and Goiás, Brazil.

Your growing climate

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

What grows in Jataí →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    116k sq mi299k km² matching 80% or better

    For example Alto Araguaia (99), Chapada dos Guimarães (98)

  2. 2

    🇧🇷Minas Gerais, Brazil

    105k sq mi272k km² matching 80% or better

    For example Prata (99), Conceição das Alagoas (99)

  3. 3

    🇧🇷Goiás, Brazil

    87k sq mi225k km² matching 80% or better

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

  4. 4

    🇦🇴Luanda Norte, Angola

    21k sq mi54k km² matching 80% or better

    For example Cuilo (84), Cassanguidi (83)

  5. 5

    🇨🇩Tanganyika, Democratic Republic of the Congo

    20k sq mi52k km² matching 80% or better

    For example Kalima (87), Nyunzu (84)

  6. 6

    🇨🇩Lomami, Democratic Republic of the Congo

    15k sq mi40k km² matching 80% or better

    For example Mwene-Ditu (88), Luputa (88)

  7. 7

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    6,800 sq mi18k km² matching 80% or better

    For example Kanyama (88), Kamina (70)

  8. 8

    🇨🇲East, Cameroon

    6,600 sq mi17k km² matching 80% or better

    For example Garoua Boulaï (80), Batouri (79)

  9. 9

    🇬🇳Nzérékoré Region, Guinea

    5,900 sq mi15k km² matching 80% or better

    For example Beyla (85), Moussadou (84)

  10. 10

    🇧🇴Santa Cruz Department, Bolivia

    5,700 sq mi15k km² matching 80% or better

    For example San Ignacio de Velasco (84), El Torno (77)

  11. 11

    🇱🇦Luang Prabang Province, Laos

    4,500 sq mi12k km² matching 80% or better

    For example Luang Prabang (65)

  12. 12

    🇱🇦Bokeo, Laos

    3,600 sq mi9,400 km² matching 80% or better

    For example Ban Khoan (67), Ban Houakhoua (66)

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

    🇧🇷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
  2. 2

    🇧🇷MineirosGoiás, Brazil

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

    Shares 23 of your 23 great-fit crops

    99%match
  3. 3

    🇧🇷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
  4. 4

    🇧🇷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

    99%match
  5. 5

    🇧🇷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
  6. 6

    🇧🇷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
  7. 7

    🇧🇷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

    99%match
  8. 8

    🇧🇷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
  9. 9

    🇧🇷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
  10. 10

    🇧🇷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
  11. 11

    🇧🇷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
  12. 12

    🇧🇷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

    99%match
  13. 13

    🇧🇷ItuiutabaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,493 mm rain

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

    99%match
  14. 14

    🇧🇷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
  15. 15

    🇧🇷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

    99%match
  16. 16

    🇧🇷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 23 great-fit crops

    99%match
  17. 17

    🇧🇷Santa VitóriaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,448 mm rain

    Shares 18 of your 23 great-fit crops · Also great there: fig

    99%match
  18. 18

    🇧🇷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
  19. 19

    🇧🇷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

    99%match
  20. 20

    🇧🇷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

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 Jataí: 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.