Climatch

Land with a climate like Várzea Paulista

🇧🇷Várzea Paulista, São Paulo, Brazil

The towns with the closest growing climate to Várzea Paulista are Salto de Pirapora, Brazil (99% match), Itapetininga and Boituva. About 286,000 sq mi of land in 18 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 Várzea Paulista are Salto de Pirapora, Brazil (99% match), Itapetininga and Boituva. About 740,000 km² of land in 18 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 · 7 chill hours · 50 in rainZone 11a · No frost · 7 chill hours · 1,273 mm rain

What grows in Várzea Paulista →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    73k sq mi189k km² matching 80% or better

    For example Cambuí (99), Monte Sião (99)

  2. 2

    🇧🇷São Paulo, Brazil

    55k sq mi143k km² matching 80% or better

    For example Araçoiaba da Serra (99), Salto de Pirapora (99)

  3. 3

    🇧🇷Paraná, Brazil

    38k sq mi97k km² matching 80% or better

    For example Wenceslau Braz (94), Sengés (93)

  4. 4

    🇨🇳Yunnan, China

    14k sq mi37k km² matching 80% or better

    For example Mengzi (88), Wenshan City (86)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    9,600 sq mi25k km² matching 80% or better

    For example Pinetown (88), Eshowe (88)

  6. 6

    🇱🇦Houaphan, Laos

    3,600 sq mi9,400 km² matching 80% or better

    For example Xam Nua (84)

  7. 7

    🇻🇳Điện Biên Province, Vietnam

    3,600 sq mi9,400 km² matching 80% or better

    For example Mường Lay (58)

  8. 8

    🇿🇦Eastern Cape, South Africa

    3,300 sq mi8,500 km² matching 80% or better

    For example East London (81), Gonubie (80)

  9. 9

    🇻🇳Lai Châu Province, Vietnam

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

    For example Lai Châu (88)

  10. 10

    🇨🇩South Kivu, Democratic Republic of the Congo

    2,400 sq mi6,200 km² matching 80% or better

    For example Bukavu (79), Kabare (78)

  11. 11

    🇵🇪San Martín Department, Peru

    2,400 sq mi6,100 km² matching 80% or better

  12. 12

    🇻🇳Sơn La Province, Vietnam

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

    For example Chiềng Cơi (78), Thị Trấn Thuận Châu (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

    🇧🇷Salto de PiraporaSão Paulo, Brazil

    Zone 11a · No frost · 7 chill hours · 42 in rainZone 11a · No frost · 7 chill hours · 1,069 mm rain

    Shares 20 of your 20 great-fit crops

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

    99%match
  3. 3

    🇧🇷BoituvaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 45 in rainZone 11a · No frost · 2 chill hours · 1,132 mm rain

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

    99%match
  4. 4

    🇧🇷CambuíMinas Gerais, Brazil

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

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

    99%match
  5. 5

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

    99%match
  6. 6

    🇧🇷SocorroSão Paulo, Brazil

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

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

    99%match
  7. 7

    🇧🇷BotucatuSão Paulo, Brazil

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

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

    99%match
  8. 8

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

    98%match
  9. 9

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

    98%match
  10. 10

    🇧🇷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 20 of your 20 great-fit crops

    98%match
  11. 11

    🇧🇷CunhaSão Paulo, Brazil

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

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

    97%match
  12. 12

    🇧🇷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 20 great-fit crops · Also great there: sugarcane, cassava, mango

    97%match
  13. 13

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

    97%match
  14. 14

    🇧🇷MarianaMinas Gerais, Brazil

    Zone 10b · No frost · 28 chill hours · 54 in rainZone 10b · No frost · 28 chill hours · 1,381 mm rain

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

    96%match
  15. 15

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

    96%match
  16. 16

    🇧🇷Dois CórregosSão Paulo, Brazil

    Zone 11a · No frost · 3 chill hours · 49 in rainZone 11a · No frost · 3 chill hours · 1,253 mm rain

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

    96%match
  17. 17

    🇧🇷BarbacenaMinas Gerais, Brazil

    Zone 11a · No frost · 8 chill hours · 56 in rainZone 11a · No frost · 8 chill hours · 1,430 mm rain

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

    96%match
  18. 18

    🇧🇷ItajubáMinas Gerais, Brazil

    Zone 10b · No frost · 87 chill hours · 57 in rainZone 10b · No frost · 87 chill hours · 1,449 mm rain

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

    96%match
  19. 19

    🇧🇷Artur NogueiraSão Paulo, Brazil

    Zone 11a · No frost · 3 chill hours · 48 in rainZone 11a · No frost · 3 chill hours · 1,221 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: sugarcane, cassava, mango

    95%match
  20. 20

    🇧🇷ItapevaSão Paulo, Brazil

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

    Shares 20 of your 20 great-fit crops

    95%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 Várzea Paulista: 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.