Climatch

Land with a climate like Caconde

🇧🇷Caconde, São Paulo, Brazil

The towns with the closest growing climate to Caconde are Carmo do Rio Claro, Brazil (99% match), São Sebastião do Paraíso and Lavras. About 396,000 sq mi of land in 18 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Goiás, Brazil.The towns with the closest growing climate to Caconde are Carmo do Rio Claro, Brazil (99% match), São Sebastião do Paraíso and Lavras. About 1.0 million km² of land in 18 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Goiás, Brazil.

Your growing climate

Zone 11a · No frost · 15 chill hours · 58 in rainZone 11a · No frost · 15 chill hours · 1,461 mm rain

What grows in Caconde →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    132k sq mi341k km² matching 80% or better

    For example Carmo do Rio Claro (99), São Sebastião do Paraíso (99)

  2. 2

    🇧🇷São Paulo, Brazil

    75k sq mi195k km² matching 80% or better

    For example Itirapina (99), Altinópolis (99)

  3. 3

    🇧🇷Goiás, Brazil

    28k sq mi73k km² matching 80% or better

    For example Mineiros (92), Catalão (87)

  4. 4

    🇨🇳Yunnan, China

    22k sq mi56k km² matching 80% or better

    For example Mengzi (84), Pu'er (83)

  5. 5

    🇲🇲Shan State, Myanmar

    11k sq mi29k km² matching 80% or better

    For example Panglong (83), Namhkam (78)

  6. 6

    🇻🇳Điện Biên Province, Vietnam

    5,800 sq mi15k km² matching 80% or better

    For example Mường Lay (63), Dien Bien Phu (61)

  7. 7

    🇱🇦Xiangkhoang, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Muang Phônsavan (90)

  8. 8

    🇧🇴Santa Cruz Department, Bolivia

    2,800 sq mi7,400 km² matching 80% or better

    For example El Torno (58), San Ignacio de Velasco (52)

  9. 9

    🇱🇦Houaphan, Laos

    2,800 sq mi7,300 km² matching 80% or better

    For example Xam Nua (82)

  10. 10

    🇱🇦Oudômxai, Laos

    2,800 sq mi7,200 km² matching 80% or better

    For example Muang Xay (74)

  11. 11

    🇮🇳Nagaland, India

    2,400 sq mi6,300 km² matching 80% or better

    For example Mokokchūng (84), Kohima (82)

  12. 12

    🇿🇦KwaZulu-Natal, South Africa

    2,100 sq mi5,400 km² matching 80% or better

    For example Ulundi (80), Eshowe (79)

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

    🇧🇷Carmo do Rio ClaroMinas Gerais, Brazil

    Zone 10b · No frost · 25 chill hours · 60 in rainZone 10b · No frost · 25 chill hours · 1,523 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  2. 2

    🇧🇷São Sebastião do ParaísoMinas Gerais, Brazil

    Zone 11a · No frost · 5 chill hours · 61 in rainZone 11a · No frost · 5 chill hours · 1,559 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  3. 3

    🇧🇷LavrasMinas Gerais, Brazil

    Zone 10b · No frost · 18 chill hours · 60 in rainZone 10b · No frost · 18 chill hours · 1,514 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  4. 4

    🇧🇷Campo BeloMinas Gerais, Brazil

    Zone 10b · No frost · 24 chill hours · 58 in rainZone 10b · No frost · 24 chill hours · 1,481 mm rain

    Shares 24 of your 24 great-fit crops

    99%match
  5. 5

    🇧🇷PassosMinas Gerais, Brazil

    Zone 11a · No frost · 7 chill hours · 63 in rainZone 11a · No frost · 7 chill hours · 1,600 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  6. 6

    🇧🇷São Gonçalo do SapucaíMinas Gerais, Brazil

    Zone 10b · No frost · 63 chill hours · 57 in rainZone 10b · No frost · 63 chill hours · 1,444 mm rain

    Shares 21 of your 24 great-fit crops

    99%match
  7. 7

    🇧🇷OliveiraMinas Gerais, Brazil

    Zone 10b · No frost · 18 chill hours · 60 in rainZone 10b · No frost · 18 chill hours · 1,523 mm rain

    Shares 20 of your 24 great-fit crops

    99%match
  8. 8

    🇧🇷PiumhiMinas Gerais, Brazil

    Zone 10b · No frost · 34 chill hours · 59 in rainZone 10b · No frost · 34 chill hours · 1,501 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  9. 9

    🇧🇷MachadoMinas Gerais, Brazil

    Zone 10b · No frost · 33 chill hours · 60 in rainZone 10b · No frost · 33 chill hours · 1,533 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  10. 10

    🇧🇷Três CoraçõesMinas Gerais, Brazil

    Zone 10b · No frost · 70 chill hours · 55 in rainZone 10b · No frost · 70 chill hours · 1,397 mm rain

    Shares 20 of your 24 great-fit crops

    99%match
  11. 11

    🇧🇷VarginhaMinas Gerais, Brazil

    Zone 10b · No frost · 54 chill hours · 56 in rainZone 10b · No frost · 54 chill hours · 1,421 mm rain

    Shares 21 of your 24 great-fit crops

    99%match
  12. 12

    🇧🇷São João del ReiMinas Gerais, Brazil

    Zone 11a · No frost · 12 chill hours · 56 in rainZone 11a · No frost · 12 chill hours · 1,425 mm rain

    Shares 21 of your 24 great-fit crops

    99%match
  13. 13

    🇧🇷Pouso AlegreMinas Gerais, Brazil

    Zone 10b · No frost · 31 chill hours · 59 in rainZone 10b · No frost · 31 chill hours · 1,502 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  14. 14

    🇧🇷Mogi GuaçuSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 52 in rainZone 11a · No frost · 4 chill hours · 1,329 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  15. 15

    🇧🇷Água RasaMinas Gerais, Brazil

    Zone 10b · No frost · 41 chill hours · 57 in rainZone 10b · No frost · 41 chill hours · 1,448 mm rain

    Shares 21 of your 24 great-fit crops

    99%match
  16. 16

    🇧🇷Américo BrasilienseSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 51 in rainZone 11a · No frost · 0 chill hours · 1,297 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  17. 17

    🇧🇷CaetéMinas Gerais, Brazil

    Zone 11a · No frost · 3 chill hours · 54 in rainZone 11a · No frost · 3 chill hours · 1,373 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  18. 18

    🇧🇷Conselheiro LafaieteMinas Gerais, Brazil

    Zone 11a · No frost · 14 chill hours · 54 in rainZone 11a · No frost · 14 chill hours · 1,366 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  19. 19

    🇧🇷ItajubáMinas Gerais, Brazil

    Zone 10b · No frost · 87 chill hours · 57 in rainZone 10b · No frost · 87 chill hours · 1,449 mm rain

    Shares 21 of your 24 great-fit crops

    99%match
  20. 20

    🇧🇷São CarlosSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 54 in rainZone 11a · No frost · 2 chill hours · 1,369 mm rain

    Shares 24 of your 24 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 Caconde: 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.