Climatch

Land with a climate like Tupaciguara

🇧🇷Tupaciguara, Minas Gerais, Brazil

The towns with the closest growing climate to Tupaciguara are Catalão, Brazil (99% match), Presidente Olegário and Prata. About 592,000 sq mi of land in 14 countries matches 80% or better, most of it in Minas Gerais, Brazil, Goiás, Brazil and Mato Grosso, Brazil.The towns with the closest growing climate to Tupaciguara are Catalão, Brazil (99% match), Presidente Olegário and Prata. About 1.5 million km² of land in 14 countries matches 80% or better, most of it in Minas Gerais, Brazil, Goiás, Brazil and Mato Grosso, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,547 mm rain

What grows in Tupaciguara →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    163k sq mi422k km² matching 80% or better

    For example Lagoa Formosa (99), Presidente Olegário (99)

  2. 2

    🇧🇷Goiás, Brazil

    82k sq mi213k km² matching 80% or better

    For example Catalão (99), Goiatuba (99)

  3. 3

    🇧🇷Mato Grosso, Brazil

    73k sq mi188k km² matching 80% or better

    For example Alto Araguaia (99), Campo Verde (98)

  4. 4

    🇨🇩Tanganyika, Democratic Republic of the Congo

    11k sq mi29k km² matching 80% or better

    For example Kalima (83), Nyunzu (80)

  5. 5

    🇲🇲Shan State, Myanmar

    11k sq mi28k km² matching 80% or better

    For example Nansang (80), Yawnghwe (79)

  6. 6

    🇦🇴Luanda Norte, Angola

    6,200 sq mi16k km² matching 80% or better

    For example Cuilo (83), Lubalo (76)

  7. 7

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    5,000 sq mi13k km² matching 80% or better

    For example Kanyama (80), Kamina (70)

  8. 8

    🇱🇦Xiangkhoang, Laos

    3,900 sq mi10k km² matching 80% or better

    For example Muang Phônsavan (91)

  9. 9

    🇱🇦Luang Prabang Province, Laos

    3,700 sq mi9,500 km² matching 80% or better

    For example Luang Prabang (54)

  10. 10

    🇱🇦Oudômxai, Laos

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

    For example Muang Xay (78)

  11. 11

    🇹🇿Kigoma, Tanzania

    3,000 sq mi7,700 km² matching 80% or better

    For example Kibondo (79), Kasulu (78)

  12. 12

    🇹🇭Nan, Thailand

    2,500 sq mi6,600 km² matching 80% or better

    For example Nan (51)

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

    🇧🇷CatalãoGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,457 mm rain

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

    99%match
  2. 2

    🇧🇷Presidente OlegárioMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,449 mm rain

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

    99%match
  3. 3

    🇧🇷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 21 great-fit crops

    99%match
  4. 4

    🇧🇷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 21 great-fit crops

    99%match
  5. 5

    🇧🇷Patos de MinasMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,443 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: banana, fig, tea

    99%match
  6. 6

    🇧🇷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 21 great-fit crops

    99%match
  7. 7

    🇧🇷MineirosGoiás, Brazil

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

    Shares 21 of your 21 great-fit crops · Also great there: banana, tea

    99%match
  8. 8

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

    99%match
  9. 9

    🇧🇷IpameriGoiás, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,473 mm rain

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

    99%match
  10. 10

    🇧🇷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 21 great-fit crops

    99%match
  11. 11

    🇧🇷Santa JulianaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 65 in rainZone 11a · No frost · 0 chill hours · 1,657 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: tea, banana

    99%match
  12. 12

    🇧🇷PatrocínioMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,622 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: tea, banana

    99%match
  13. 13

    🇧🇷JataíGoiás, Brazil

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

    Shares 21 of your 21 great-fit crops · Also great there: banana, tea

    99%match
  14. 14

    🇧🇷CoromandelMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 63 in rainZone 11b · No frost · 0 chill hours · 1,591 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  15. 15

    🇧🇷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 21 of your 21 great-fit crops · Also great there: fig

    99%match
  16. 16

    🇧🇷SilvâniaGoiás, Brazil

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

    Shares 21 of your 21 great-fit crops

    99%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 21 great-fit crops

    99%match
  18. 18

    🇧🇷UberabaMinas Gerais, Brazil

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

    Shares 21 of your 21 great-fit crops · Also great there: banana, tea

    99%match
  19. 19

    🇧🇷SacramentoMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,644 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: tea, banana

    99%match
  20. 20

    🇧🇷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 21 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 Tupaciguara: 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.