Climatch

Land with a climate like São Caetano do Sul

🇧🇷São Caetano do Sul, São Paulo, Brazil

The towns with the closest growing climate to São Caetano do Sul are Sorocaba, Brazil (99% match), Itapetininga and Capão Bonito. About 265,000 sq mi of land in 13 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Minas Gerais, Brazil.The towns with the closest growing climate to São Caetano do Sul are Sorocaba, Brazil (99% match), Itapetininga and Capão Bonito. About 686,000 km² of land in 13 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Minas Gerais, Brazil.

Your growing climate

Zone 11a · No frost · 4 chill hours · 57 in rainZone 11a · No frost · 4 chill hours · 1,454 mm rain

What grows in São Caetano do Sul →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    56k sq mi145k km² matching 80% or better

    For example Sengés (95), Wenceslau Braz (94)

  2. 2

    🇧🇷São Paulo, Brazil

    50k sq mi129k km² matching 80% or better

    For example Paraibuna (99), São Miguel Arcanjo (99)

  3. 3

    🇧🇷Minas Gerais, Brazil

    47k sq mi121k km² matching 80% or better

    For example Cambuí (97), Extrema (95)

  4. 4

    🇿🇦KwaZulu-Natal, South Africa

    6,800 sq mi18k km² matching 80% or better

    For example Pinetown (86), KwaDukuza (86)

  5. 5

    🇨🇳Yunnan, China

    5,200 sq mi14k km² matching 80% or better

    For example Wenshan City (82), Kaihua (82)

  6. 6

    🇵🇪San Martín Department, Peru

    2,700 sq mi6,900 km² matching 80% or better

    For example Rioja (56), Moyobamba (56)

  7. 7

    🇵🇪Junin, Peru

    2,600 sq mi6,800 km² matching 80% or better

    For example Satipo (59), San Martín de Pangoa (58)

  8. 8

    🇿🇦Eastern Cape, South Africa

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

    For example East London (79), Gonubie (79)

  9. 9

    🇵🇪Amazonas, Peru

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

    For example La Peca (66), Chachapoyas (63)

  10. 10

    🇻🇳Lai Châu Province, Vietnam

    1,900 sq mi5,000 km² matching 80% or better

    For example Lai Châu (84)

  11. 11

    🇨🇩South Kivu, Democratic Republic of the Congo

    1,500 sq mi3,900 km² matching 80% or better

    For example Kabare (78), Bukavu (76)

  12. 12

    🇲🇬Alaotra Mangoro, Madagascar

    1,400 sq mi3,700 km² matching 80% or better

    For example Moramanga (77), Didy (76)

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

    🇧🇷SorocabaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 47 in rainZone 11a · No frost · 2 chill hours · 1,196 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: wine grapes, sugarcane, cassava

    99%match
  2. 2

    🇧🇷ItapetiningaSão Paulo, Brazil

    Zone 11a · No frost · 12 chill hours · 46 in rainZone 11a · No frost · 12 chill hours · 1,172 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: wine grapes, sugarcane

    99%match
  3. 3

    🇧🇷Capão BonitoSão Paulo, Brazil

    Zone 10b · No frost · 40 chill hours · 49 in rainZone 10b · No frost · 40 chill hours · 1,246 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: wine grapes

    99%match
  4. 4

    🇧🇷São José dos CamposSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 49 in rainZone 11a · No frost · 2 chill hours · 1,244 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: sugarcane, cassava, wine grapes

    99%match
  5. 5

    🇧🇷Paty do AlferesRio de Janeiro, Brazil

    Zone 11a · No frost · 8 chill hours · 60 in rainZone 11a · No frost · 8 chill hours · 1,517 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: sugarcane, cassava

    99%match
  6. 6

    🇧🇷ItapevaSão Paulo, Brazil

    Zone 10b · No frost · 59 chill hours · 48 in rainZone 10b · No frost · 59 chill hours · 1,223 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: wine grapes

    98%match
  7. 7

    🇧🇷São José do Vale do Rio PretoRio de Janeiro, Brazil

    Zone 11a · No frost · 9 chill hours · 58 in rainZone 11a · No frost · 9 chill hours · 1,462 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: sugarcane, cassava

    97%match
  8. 8

    🇧🇷BotucatuSão Paulo, Brazil

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

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

    96%match
  9. 9

    🇧🇷VinhedoSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,219 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: sugarcane, cassava, wine grapes

    96%match
  10. 10

    🇧🇷ItararéSão Paulo, Brazil

    Zone 10b · No frost · 56 chill hours · 49 in rainZone 10b · No frost · 56 chill hours · 1,245 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: wine grapes

    96%match
  11. 11

    🇧🇷SocorroSão Paulo, Brazil

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

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

    95%match
  12. 12

    🇧🇷ExtremaMinas Gerais, Brazil

    Zone 10b · No frost · 79 chill hours · 56 in rainZone 10b · No frost · 79 chill hours · 1,423 mm rain

    Shares 18 of your 21 great-fit crops

    95%match
  13. 13

    🇧🇷ParaisópolisMinas Gerais, Brazil

    Zone 10b · No frost · 63 chill hours · 58 in rainZone 10b · No frost · 63 chill hours · 1,480 mm rain

    Shares 20 of your 21 great-fit crops

    95%match
  14. 14

    🇧🇷CunhaSão Paulo, Brazil

    Zone 10b · No frost · 107 chill hours · 56 in rainZone 10b · No frost · 107 chill hours · 1,425 mm rain

    Shares 20 of your 21 great-fit crops

    95%match
  15. 15

    🇧🇷Marechal FlorianoEspírito Santo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,213 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: sugarcane, wine grapes, cassava

    95%match
  16. 16

    🇧🇷Santa Maria de JetibáEspírito Santo, Brazil

    Zone 11a · No frost · 1 chill hours · 48 in rainZone 11a · No frost · 1 chill hours · 1,215 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: sugarcane, wine grapes, cassava

    95%match
  17. 17

    🇧🇷ApiaíSão Paulo, Brazil

    Zone 10b · No frost · 108 chill hours · 56 in rainZone 10b · No frost · 108 chill hours · 1,417 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: apple, blueberry, peach

    95%match
  18. 18

    🇧🇷AvaréSão Paulo, Brazil

    Zone 11a · No frost · 8 chill hours · 49 in rainZone 11a · No frost · 8 chill hours · 1,233 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: sugarcane, cassava, wine grapes

    94%match
  19. 19

    🇧🇷Vargem AltaEspírito Santo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,180 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: sugarcane, cassava, wine grapes

    94%match
  20. 20

    🇧🇷Juiz de ForaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 54 in rainZone 11a · No frost · 0 chill hours · 1,384 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: sugarcane, cassava, mango

    94%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 Caetano do Sul: 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.