Climatch

Land with a climate like Guararema

🇧🇷Guararema, São Paulo, Brazil

The towns with the closest growing climate to Guararema are Osasco, Brazil (99% match), Paty do Alferes and Sorocaba. About 225,000 sq mi of land in 12 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 Guararema are Osasco, Brazil (99% match), Paty do Alferes and Sorocaba. About 584,000 km² of land in 12 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 · 1,448 mm rain

What grows in Guararema →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    48k sq mi126k km² matching 80% or better

    For example Sengés (93), Astorga (93)

  2. 2

    🇧🇷São Paulo, Brazil

    47k sq mi122k km² matching 80% or better

    For example Carapicuíba (99), Barueri (99)

  3. 3

    🇧🇷Minas Gerais, Brazil

    33k sq mi85k km² matching 80% or better

    For example Cambuí (95), Juiz de Fora (92)

  4. 4

    🇨🇳Yunnan, China

    5,500 sq mi14k km² matching 80% or better

    For example Wenshan City (80), Kaihua (80)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    4,400 sq mi11k km² matching 80% or better

    For example KwaDukuza (84), Tongaat (84)

  6. 6

    🇲🇬Alaotra Mangoro, Madagascar

    2,800 sq mi7,300 km² matching 80% or better

    For example Moramanga (78), Didy (75)

  7. 7

    🇻🇳Tuyen Quang, Vietnam

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

    For example Bắc Quang (66), Thị Trấn Việt Quang (56)

  8. 8

    🇵🇪San Martín Department, Peru

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

    For example Moyobamba (57), Rioja (57)

  9. 9

    🇻🇳Lai Châu Province, Vietnam

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

    For example Lai Châu (85)

  10. 10

    🇻🇳Cao Bằng Province, Vietnam

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

    For example Thị Trấn Trùng Khánh (74), Cao Bằng (64)

  11. 11

    🇲🇽Veracruz, Mexico

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

    For example Coatepec (87), Banderilla (87)

  12. 12

    🇵🇪Cajamarca Department, Peru

    900 sq mi2,300 km² matching 80% or better

    For example Jaén (65)

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

    🇧🇷OsascoSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 54 in rainZone 11a · No frost · 2 chill hours · 1,378 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  2. 2

    🇧🇷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 21 of your 22 great-fit crops · Also great there: cassava

    99%match
  3. 3

    🇧🇷SorocabaSão Paulo, Brazil

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

    Shares 21 of your 22 great-fit crops · Also great there: wine grapes, cassava

    99%match
  4. 4

    🇧🇷JuquitibaSão Paulo, Brazil

    Zone 11a · No frost · 14 chill hours · 65 in rainZone 11a · No frost · 14 chill hours · 1,647 mm rain

    Shares 19 of your 22 great-fit crops

    99%match
  5. 5

    🇧🇷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 22 great-fit crops · Also great there: wine grapes

    99%match
  6. 6

    🇧🇷ItapetiningaSão Paulo, Brazil

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

    Shares 21 of your 22 great-fit crops · Also great there: wine grapes

    99%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 22 of your 22 great-fit crops · Also great there: cassava

    97%match
  8. 8

    🇧🇷ItatibaSão Paulo, Brazil

    Zone 11a · No frost · 6 chill hours · 49 in rainZone 11a · No frost · 6 chill hours · 1,249 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: wine grapes

    97%match
  9. 9

    🇧🇷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 22 great-fit crops · Also great there: wine grapes

    96%match
  10. 10

    🇧🇷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 21 of your 22 great-fit crops · Also great there: wine grapes, cassava

    96%match
  11. 11

    🇧🇷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 21 of your 22 great-fit crops · Also great there: wine grapes, cassava

    96%match
  12. 12

    🇧🇷CambuíMinas Gerais, Brazil

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

    Shares 20 of your 22 great-fit crops

    95%match
  13. 13

    🇧🇷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 21 of your 22 great-fit crops · Also great there: cassava, wine grapes

    94%match
  14. 14

    🇧🇷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 22 great-fit crops · Also great there: apple, blueberry, peach

    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 22 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 22 great-fit crops · Also great there: wine grapes

    93%match
  17. 17

    🇧🇷Nova FriburgoRio de Janeiro, Brazil

    Zone 10b · No frost · 82 chill hours · 53 in rainZone 10b · No frost · 82 chill hours · 1,358 mm rain

    Shares 20 of your 22 great-fit crops

    93%match
  18. 18

    🇧🇷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 22 great-fit crops

    93%match
  19. 19

    🇧🇷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 22 great-fit crops

    93%match
  20. 20

    🇧🇷Jaraguá do SulSanta Catarina, Brazil

    Zone 11a · No frost · 2 chill hours · 66 in rainZone 11a · No frost · 2 chill hours · 1,673 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: cassava

    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 Guararema: 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.