Climatch

Land with a climate like São Carlos

🇧🇷São Carlos, São Paulo, Brazil

The towns with the closest growing climate to São Carlos are São João da Boa Vista, Brazil (99% match), Mogi Guaçu and Campinas. About 446,000 sq mi of land in 23 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 Carlos are São João da Boa Vista, Brazil (99% match), Mogi Guaçu and Campinas. About 1.2 million km² of land in 23 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 · 2 chill hours · 54 in rainZone 11a · No frost · 2 chill hours · 1,369 mm rain

What grows in São Carlos →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    112k sq mi291k km² matching 80% or better

    For example Andradas (99), Jacutinga (99)

  2. 2

    🇧🇷São Paulo, Brazil

    83k sq mi215k km² matching 80% or better

    For example São João da Boa Vista (99), Espírito Santo do Pinhal (99)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    53k sq mi138k km² matching 80% or better

    For example Chapadão do Sul (95), Costa Rica (89)

  4. 4

    🇨🇳Yunnan, China

    22k sq mi56k km² matching 80% or better

    For example Mengman (85), Pu'er (84)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    10k sq mi27k km² matching 80% or better

    For example Eshowe (86), Pinetown (85)

  6. 6

    🇲🇲Shan State, Myanmar

    8,000 sq mi21k km² matching 80% or better

    For example Panglong (80), Kēng Tung (77)

  7. 7

    🇻🇳Điện Biên Province, Vietnam

    5,600 sq mi14k km² matching 80% or better

    For example Mường Lay (65), Dien Bien Phu (60)

  8. 8

    🇱🇦Xiangkhoang, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Muang Phônsavan (86)

  9. 9

    🇧🇴La Paz Department, Bolivia

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

    For example Caranavi (77)

  10. 10

    🇧🇴Santa Cruz Department, Bolivia

    3,700 sq mi9,600 km² matching 80% or better

    For example El Torno (74), Warnes (59)

  11. 11

    🇵🇪Junin, Peru

    3,200 sq mi8,400 km² matching 80% or better

    For example San Martín de Pangoa (74), Satipo (74)

  12. 12

    🇱🇦Oudômxai, Laos

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

    For example Muang Xay (74)

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

    🇧🇷São João da Boa VistaSão Paulo, Brazil

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

    Shares 24 of your 24 great-fit crops

    99%match
  2. 2

    🇧🇷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
  3. 3

    🇧🇷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
  4. 4

    🇧🇷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
  5. 5

    🇧🇷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
  6. 6

    🇧🇷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
  7. 7

    🇧🇷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
  8. 8

    🇧🇷São José do Rio PardoSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 55 in rainZone 11a · No frost · 4 chill hours · 1,386 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  9. 9

    🇧🇷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
  10. 10

    🇧🇷SocorroSão Paulo, Brazil

    Zone 11a · No frost · 17 chill hours · 52 in rainZone 11a · No frost · 17 chill hours · 1,333 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  11. 11

    🇧🇷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
  12. 12

    🇧🇷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
  13. 13

    🇧🇷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
  14. 14

    🇧🇷BotucatuSão Paulo, Brazil

    Zone 11a · No frost · 13 chill hours · 51 in rainZone 11a · No frost · 13 chill hours · 1,306 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  15. 15

    🇧🇷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
  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

    🇧🇷FrancaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,654 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  18. 18

    🇧🇷ConchasSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,168 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  19. 19

    🇧🇷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
  20. 20

    🇧🇷CampestreMinas Gerais, Brazil

    Zone 10b · No frost · 42 chill hours · 63 in rainZone 10b · No frost · 42 chill hours · 1,602 mm rain

    Shares 19 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 Carlos: 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.