Climatch

Land with a climate like São João da Boa Vista

🇧🇷São João da Boa Vista, São Paulo, Brazil

The towns with the closest growing climate to São João da Boa Vista are Cajuru, Brazil (99% match), Pouso Alegre and São Carlos. About 492,000 sq mi of land in 19 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to São João da Boa Vista are Cajuru, Brazil (99% match), Pouso Alegre and São Carlos. About 1.3 million km² of land in 19 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

Zone 11a · No frost · 5 chill hours · 56 in rainZone 11a · No frost · 5 chill hours · 1,420 mm rain

What grows in São João da Boa Vista →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    130k sq mi338k km² matching 80% or better

    For example Pouso Alegre (99), Poço Fundo (99)

  2. 2

    🇧🇷São Paulo, Brazil

    83k sq mi214k km² matching 80% or better

    For example Cajuru (99), Américo Brasiliense (99)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    59k sq mi152k km² matching 80% or better

    For example Chapadão do Sul (96), Aparecida do Taboado (92)

  4. 4

    🇨🇳Yunnan, China

    22k sq mi56k km² matching 80% or better

    For example Mengman (87), Pu'er (84)

  5. 5

    🇲🇲Shan State, Myanmar

    12k sq mi31k km² matching 80% or better

    For example Panglong (83), Kēng Tung (80)

  6. 6

    🇿🇦KwaZulu-Natal, South Africa

    7,000 sq mi18k km² matching 80% or better

    For example Ulundi (82), Pinetown (82)

  7. 7

    🇻🇳Điện Biên Province, Vietnam

    6,700 sq mi17k km² matching 80% or better

    For example Mường Lay (68), Dien Bien Phu (66)

  8. 8

    🇱🇦Xiangkhoang, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Muang Phônsavan (89)

  9. 9

    🇧🇴Santa Cruz Department, Bolivia

    4,500 sq mi12k km² matching 80% or better

    For example El Torno (75), San Ignacio de Velasco (64)

  10. 10

    🇱🇦Oudômxai, Laos

    4,200 sq mi11k km² matching 80% or better

    For example Muang Xay (80)

  11. 11

    🇧🇴La Paz Department, Bolivia

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

    For example Caranavi (78)

  12. 12

    🇱🇦Luang Prabang Province, Laos

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

    For example Luang Prabang (54)

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

    🇧🇷CajuruSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,469 mm rain

    Shares 24 of your 24 great-fit crops

    99%match
  2. 2

    🇧🇷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
  3. 3

    🇧🇷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
  4. 4

    🇧🇷JaúSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,243 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  5. 5

    🇧🇷LimeiraSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 49 in rainZone 11a · No frost · 2 chill hours · 1,239 mm rain

    Shares 21 of your 24 great-fit crops

    99%match
  6. 6

    🇧🇷AlfenasMinas Gerais, Brazil

    Zone 10b · No frost · 38 chill hours · 59 in rainZone 10b · No frost · 38 chill hours · 1,491 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  7. 7

    🇧🇷CravinhosSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 57 in rainZone 11a · No frost · 0 chill hours · 1,441 mm rain

    Shares 24 of your 24 great-fit crops

    99%match
  8. 8

    🇧🇷Santa Rita do Passa QuatroSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 54 in rainZone 11a · No frost · 0 chill hours · 1,370 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  9. 9

    🇧🇷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
  10. 10

    🇧🇷PiracicabaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,230 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  11. 11

    🇧🇷BatataisSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 61 in rainZone 11a · No frost · 0 chill hours · 1,557 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  12. 12

    🇧🇷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
  13. 13

    🇧🇷CampinasSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,256 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  14. 14

    🇧🇷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
  15. 15

    🇧🇷MatãoSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 52 in rainZone 11a · No frost · 0 chill hours · 1,313 mm rain

    Shares 21 of your 24 great-fit crops

    99%match
  16. 16

    🇧🇷Lençóis PaulistaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,185 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  17. 17

    🇧🇷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
  18. 18

    🇧🇷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
  19. 19

    🇧🇷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
  20. 20

    🇧🇷LinsSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,224 mm rain

    Shares 23 of your 24 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 São João da Boa Vista: 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.