Climatch

Land with a climate like São Pedro, Brazil

🇧🇷São Pedro, Rio de Janeiro, Brazil

The towns with the closest growing climate to São Pedro, Brazil are Cunha, Brazil (99% match), Itapecerica da Serra and Embu das Artes. About 143,000 sq mi of land in 16 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 Pedro, Brazil are Cunha, Brazil (99% match), Itapecerica da Serra and Embu das Artes. About 371,000 km² of land in 16 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Minas Gerais, Brazil.

Your growing climate

Zone 10b · No frost · 65 chill hours · 66 in rainZone 10b · No frost · 65 chill hours · 1,668 mm rain

What grows in São Pedro, Brazil →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    42k sq mi109k km² matching 80% or better

    For example Mandaguari (93), Maringá (92)

  2. 2

    🇧🇷São Paulo, Brazil

    22k sq mi58k km² matching 80% or better

    For example Salesópolis (99), Cunha (99)

  3. 3

    🇧🇷Minas Gerais, Brazil

    21k sq mi55k km² matching 80% or better

    For example Camanducaia (98), Extrema (97)

  4. 4

    🇨🇳Yunnan, China

    4,400 sq mi11k km² matching 80% or better

    For example Mabai (81), Wenshan City (80)

  5. 5

    🇵🇪San Martín Department, Peru

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

  6. 6

    🇨🇩South Kivu, Democratic Republic of the Congo

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

    For example Kabare (84), Bukavu (67)

  7. 7

    🇷🇼Western Province, Rwanda

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

    For example Bushekeri (83), Rangiro (82)

  8. 8

    🇻🇳Lai Châu Province, Vietnam

    1,400 sq mi3,600 km² matching 80% or better

    For example Lai Châu (68)

  9. 9

    🇨🇩North Kivu, Democratic Republic of the Congo

    1,200 sq mi3,100 km² matching 80% or better

    For example Butembo (79), Katwa (78)

  10. 10

    🇵🇪Junin, Peru

    1,200 sq mi3,000 km² matching 80% or better

  11. 11

    🇵🇪Puno, Peru

    1,200 sq mi3,000 km² matching 80% or better

  12. 12

    🇲🇽Puebla, Mexico

    1,100 sq mi2,900 km² matching 80% or better

    For example Huauchinango (80), Xicotepec de Juárez (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

    🇧🇷CunhaSão Paulo, Brazil

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

    Shares 16 of your 16 great-fit crops · Also great there: citrus, cotton, peanut

    99%match
  2. 2

    🇧🇷Itapecerica da SerraSão Paulo, Brazil

    Zone 10b · No frost · 25 chill hours · 61 in rainZone 10b · No frost · 25 chill hours · 1,557 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: cotton, citrus, peanut

    98%match
  3. 3

    🇧🇷Embu das ArtesSão Paulo, Brazil

    Zone 11a · No frost · 14 chill hours · 57 in rainZone 11a · No frost · 14 chill hours · 1,438 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: cotton, peanut, citrus

    98%match
  4. 4

    🇧🇷Biritiba MirimSão Paulo, Brazil

    Zone 10b · No frost · 23 chill hours · 69 in rainZone 10b · No frost · 23 chill hours · 1,746 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: citrus, cotton, peanut

    97%match
  5. 5

    🇧🇷ParaibunaSão Paulo, Brazil

    Zone 11a · No frost · 15 chill hours · 53 in rainZone 11a · No frost · 15 chill hours · 1,340 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: citrus, peanut, cotton

    96%match
  6. 6

    🇧🇷AlumínioSão Paulo, Brazil

    Zone 11a · No frost · 15 chill hours · 50 in rainZone 11a · No frost · 15 chill hours · 1,271 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cotton, peanut, citrus

    96%match
  7. 7

    🇧🇷Francisco MoratoSão Paulo, Brazil

    Zone 11a · No frost · 11 chill hours · 51 in rainZone 11a · No frost · 11 chill hours · 1,288 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: cotton, peanut, citrus

    95%match
  8. 8

    🇧🇷Bragança PaulistaSão Paulo, Brazil

    Zone 10b · No frost · 29 chill hours · 51 in rainZone 10b · No frost · 29 chill hours · 1,305 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: cotton, peanut, citrus

    95%match
  9. 9

    🇧🇷ApiaíSão Paulo, Brazil

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

    Shares 16 of your 16 great-fit crops · Also great there: apple, blueberry, peach

    93%match
  10. 10

    🇧🇷IbatibaEspírito Santo, Brazil

    Zone 10b · No frost · 31 chill hours · 47 in rainZone 10b · No frost · 31 chill hours · 1,183 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cotton, peanut, citrus

    93%match
  11. 11

    🇧🇷Espera FelizMinas Gerais, Brazil

    Zone 10b · No frost · 86 chill hours · 48 in rainZone 10b · No frost · 86 chill hours · 1,207 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cotton, peanut, citrus

    93%match
  12. 12

    🇧🇷São PauloBrazil

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

    Shares 16 of your 16 great-fit crops · Also great there: peanut, citrus, cotton

    93%match
  13. 13

    🇧🇷CambuíMinas Gerais, Brazil

    Zone 10b · No frost · 58 chill hours · 57 in rainZone 10b · No frost · 58 chill hours · 1,460 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: citrus, cotton, peanut

    93%match
  14. 14

    🇧🇷Ouro PretoMinas Gerais, Brazil

    Zone 10b · No frost · 70 chill hours · 57 in rainZone 10b · No frost · 70 chill hours · 1,459 mm rain

    Shares 16 of your 16 great-fit crops

    93%match
  15. 15

    🇧🇷MaringáParaná, Brazil

    Zone 10b · No frost · 99 chill hours · 48 in rainZone 10b · No frost · 99 chill hours · 1,221 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cotton, citrus, peanut

    92%match
  16. 16

    🇧🇷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 15 of your 16 great-fit crops · Also great there: peanut, citrus, cotton

    92%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 15 of your 16 great-fit crops · Also great there: peanut, citrus, cotton

    92%match
  18. 18

    🇧🇷JaguariaívaParaná, Brazil

    Zone 10a · Frost 1 years in 10 · 164 chill hours · 53 in rainZone 10a · Frost 1 years in 10 · 164 chill hours · 1,344 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: cotton, citrus, peanut

    92%match
  19. 19

    🇧🇷Rio ClaroRio de Janeiro, Brazil

    Zone 11a · No frost · 11 chill hours · 56 in rainZone 11a · No frost · 11 chill hours · 1,422 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: citrus, cotton, peanut

    92%match
  20. 20

    🇧🇷Rio Branco do SulParaná, Brazil

    Zone 10b · No frost · 95 chill hours · 67 in rainZone 10b · No frost · 95 chill hours · 1,694 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: apple, blueberry, cotton

    92%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 Pedro, Brazil: 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.