Climatch

Land with a climate like São Paulo

🇧🇷São Paulo, Brazil

The towns with the closest growing climate to São Paulo are Sorocaba, Brazil (99% match), Itapetininga and São José dos Campos. About 260,000 sq mi of land in 14 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Paraná, Brazil.The towns with the closest growing climate to São Paulo are Sorocaba, Brazil (99% match), Itapetininga and São José dos Campos. About 673,000 km² of land in 14 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Paraná, Brazil.

Your growing climate

Zone 11a · No frost · 1 chill hours · 54 in rainZone 11a · No frost · 1 chill hours · 1,380 mm rain

What grows in São Paulo →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    53k sq mi136k km² matching 80% or better

    For example Cambuí (97), Extrema (96)

  2. 2

    🇧🇷São Paulo, Brazil

    51k sq mi133k km² matching 80% or better

    For example Paraibuna (99), Votorantim (99)

  3. 3

    🇧🇷Paraná, Brazil

    47k sq mi121k km² matching 80% or better

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

  4. 4

    🇿🇦KwaZulu-Natal, South Africa

    8,800 sq mi23k km² matching 80% or better

    For example Pinetown (88), Eshowe (87)

  5. 5

    🇨🇳Yunnan, China

    6,600 sq mi17k km² matching 80% or better

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

  6. 6

    🇿🇦Eastern Cape, South Africa

    3,000 sq mi7,800 km² matching 80% or better

    For example East London (81), Gonubie (81)

  7. 7

    🇵🇪San Martín Department, Peru

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

    For example Rioja (54), Moyobamba (53)

  8. 8

    🇵🇪Junin, Peru

    2,300 sq mi6,100 km² matching 80% or better

    For example Satipo (59), San Martín de Pangoa (57)

  9. 9

    🇻🇳Lai Châu Province, Vietnam

    2,200 sq mi5,700 km² matching 80% or better

    For example Lai Châu (86)

  10. 10

    🇻🇳Lao Cai, Vietnam

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

    For example Lào Cai (50), Nghĩa Lộ (50)

  11. 11

    🇻🇳Điện Biên Province, Vietnam

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

    For example Mường Lay (56)

  12. 12

    🇵🇪Amazonas, Peru

    1,800 sq mi4,600 km² matching 80% or better

    For example La Peca (66), Chachapoyas (64)

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

    🇧🇷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
  4. 4

    🇧🇷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
  5. 5

    🇧🇷AmparoSão Paulo, Brazil

    Zone 11a · No frost · 7 chill hours · 49 in rainZone 11a · No frost · 7 chill hours · 1,242 mm rain

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

    98%match
  6. 6

    🇧🇷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

    97%match
  7. 7

    🇧🇷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

    97%match
  8. 8

    🇧🇷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

    96%match
  9. 9

    🇧🇷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
  10. 10

    🇧🇷IndaiatubaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,212 mm rain

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

    95%match
  11. 11

    🇧🇷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

    95%match
  12. 12

    🇧🇷PetrópolisRio de Janeiro, Brazil

    Zone 10b · No frost · 29 chill hours · 70 in rainZone 10b · No frost · 29 chill hours · 1,789 mm rain

    Shares 18 of your 21 great-fit crops

    95%match
  13. 13

    🇧🇷PiraíRio de Janeiro, Brazil

    Zone 11a · No frost · 2 chill hours · 53 in rainZone 11a · No frost · 2 chill hours · 1,337 mm rain

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

    95%match
  14. 14

    🇧🇷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
  15. 15

    🇧🇷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

    94%match
  16. 16

    🇧🇷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

    94%match
  17. 17

    🇧🇷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

    94%match
  18. 18

    🇧🇷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
  19. 19

    🇧🇷Lima DuarteMinas Gerais, Brazil

    Zone 11a · No frost · 5 chill hours · 52 in rainZone 11a · No frost · 5 chill hours · 1,327 mm rain

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

    94%match
  20. 20

    🇧🇷TaquaritubaSão Paulo, Brazil

    Zone 11a · No frost · 7 chill hours · 47 in rainZone 11a · No frost · 7 chill hours · 1,202 mm rain

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

    93%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 Paulo: 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.