Climatch

Land with a climate like Paraibuna

🇧🇷Paraibuna, São Paulo, Brazil

The towns with the closest growing climate to Paraibuna are São Miguel Arcanjo, Brazil (99% match), São Paulo and Paty do Alferes. About 274,000 sq mi of land in 15 countries matches 80% or better, most of it in Minas Gerais, Brazil, Paraná, Brazil and São Paulo, Brazil.The towns with the closest growing climate to Paraibuna are São Miguel Arcanjo, Brazil (99% match), São Paulo and Paty do Alferes. About 710,000 km² of land in 15 countries matches 80% or better, most of it in Minas Gerais, Brazil, Paraná, Brazil and São Paulo, Brazil.

Your growing climate

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

What grows in Paraibuna →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    57k sq mi147k km² matching 80% or better

    For example Extrema (98), Cambuí (97)

  2. 2

    🇧🇷Paraná, Brazil

    51k sq mi133k km² matching 80% or better

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

  3. 3

    🇧🇷São Paulo, Brazil

    48k sq mi124k km² matching 80% or better

    For example Araçariguama (99), Carapicuíba (99)

  4. 4

    🇨🇳Yunnan, China

    10k sq mi27k km² matching 80% or better

    For example Wenshan City (87), Kaihua (87)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    6,000 sq mi16k km² matching 80% or better

    For example KwaDukuza (87), Eshowe (86)

  6. 6

    🇲🇬Alaotra Mangoro, Madagascar

    4,000 sq mi10k km² matching 80% or better

    For example Moramanga (83), Didy (82)

  7. 7

    🇻🇳Tuyen Quang, Vietnam

    2,800 sq mi7,100 km² matching 80% or better

    For example Bắc Quang (62), Thị Trấn Việt Quang (50)

  8. 8

    🇱🇦Houaphan, Laos

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

    For example Xam Nua (80)

  9. 9

    🇻🇳Lai Châu Province, Vietnam

    2,500 sq mi6,400 km² matching 80% or better

    For example Lai Châu (87)

  10. 10

    🇻🇳Cao Bằng Province, Vietnam

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

    For example Thị Trấn Trùng Khánh (73), Cao Bằng (62)

  11. 11

    🇵🇪San Martín Department, Peru

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

  12. 12

    🇲🇬Atsinanana, Madagascar

    1,700 sq mi4,400 km² matching 80% or better

    For example Marolambo (59), Vohibinany (53)

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 Miguel ArcanjoSão Paulo, Brazil

    Zone 10b · No frost · 24 chill hours · 48 in rainZone 10b · No frost · 24 chill hours · 1,221 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: wine grapes

    99%match
  2. 2

    🇧🇷São PauloBrazil

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

    Shares 20 of your 20 great-fit crops · Also great there: banana

    99%match
  3. 3

    🇧🇷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 19 of your 20 great-fit crops · Also great there: banana, sugarcane, cassava

    99%match
  4. 4

    🇧🇷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 20 of your 20 great-fit crops

    99%match
  5. 5

    🇧🇷SorocabaSão Paulo, Brazil

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

    Shares 19 of your 20 great-fit crops · Also great there: wine grapes, banana, sugarcane

    99%match
  6. 6

    🇧🇷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 20 of your 20 great-fit crops · Also great there: sugarcane, banana, cassava

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

    99%match
  8. 8

    🇧🇷Vargem Grande PaulistaSão Paulo, Brazil

    Zone 10b · No frost · 32 chill hours · 55 in rainZone 10b · No frost · 32 chill hours · 1,399 mm rain

    Shares 18 of your 20 great-fit crops

    99%match
  9. 9

    🇧🇷JundiaíSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,259 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: banana, sugarcane, cassava

    99%match
  10. 10

    🇧🇷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 20 great-fit crops

    98%match
  11. 11

    🇧🇷GuapiaraSão Paulo, Brazil

    Zone 10b · No frost · 77 chill hours · 53 in rainZone 10b · No frost · 77 chill hours · 1,335 mm rain

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

    98%match
  12. 12

    🇧🇷TatuíSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 46 in rainZone 11a · No frost · 4 chill hours · 1,158 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: sugarcane, wine grapes, cassava

    98%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 20 of your 20 great-fit crops

    97%match
  14. 14

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

    97%match
  15. 15

    🇧🇷AngatubaSão Paulo, Brazil

    Zone 11a · No frost · 5 chill hours · 47 in rainZone 11a · No frost · 5 chill hours · 1,187 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: sugarcane, wine grapes, banana

    97%match
  16. 16

    🇧🇷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 20 great-fit crops

    97%match
  17. 17

    🇧🇷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 19 of your 20 great-fit crops · Also great there: banana, sugarcane, wine grapes

    97%match
  18. 18

    🇧🇷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 19 of your 20 great-fit crops · Also great there: banana, sugarcane, wine grapes

    97%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 19 of your 20 great-fit crops · Also great there: sugarcane, cassava, wine grapes

    96%match
  20. 20

    🇧🇷SocorroSão Paulo, Brazil

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

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

    96%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 Paraibuna: 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.