Climatch

Land with a climate like Cabreúva

🇧🇷Cabreúva, São Paulo, Brazil

The towns with the closest growing climate to Cabreúva are Amparo, Brazil (99% match), Itapetininga and Cesário Lange. About 315,000 sq mi of land in 16 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 Cabreúva are Amparo, Brazil (99% match), Itapetininga and Cesário Lange. About 816,000 km² of land in 16 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 · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,222 mm rain

What grows in Cabreúva →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    73k sq mi190k km² matching 80% or better

    For example Cambuí (98), Monte Sião (98)

  2. 2

    🇧🇷São Paulo, Brazil

    63k sq mi163k km² matching 80% or better

    For example Amparo (99), Itapetininga (99)

  3. 3

    🇧🇷Paraná, Brazil

    36k sq mi94k km² matching 80% or better

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

  4. 4

    🇿🇦KwaZulu-Natal, South Africa

    14k sq mi36k km² matching 80% or better

    For example KwaDukuza (92), Pinetown (92)

  5. 5

    🇨🇳Yunnan, China

    12k sq mi31k km² matching 80% or better

    For example Mengzi (85), Kaiyuan (82)

  6. 6

    🇻🇳Điện Biên Province, Vietnam

    5,800 sq mi15k km² matching 80% or better

    For example Mường Lay (66), Dien Bien Phu (57)

  7. 7

    🇿🇦Eastern Cape, South Africa

    4,000 sq mi10k km² matching 80% or better

    For example East London (84), Gonubie (84)

  8. 8

    🇻🇳Sơn La Province, Vietnam

    3,900 sq mi10k km² matching 80% or better

    For example Chiềng Cơi (83), Thị Trấn Thuận Châu (82)

  9. 9

    🇲🇬Alaotra Mangoro, Madagascar

    3,700 sq mi9,600 km² matching 80% or better

    For example Didy (84), Moramanga (80)

  10. 10

    🇱🇦Houaphan, Laos

    3,400 sq mi8,700 km² matching 80% or better

    For example Xam Nua (83)

  11. 11

    🇱🇦Xiangkhoang, Laos

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

    For example Muang Phônsavan (71)

  12. 12

    🇲🇬Atsimo-Atsinanana, Madagascar

    2,700 sq mi7,100 km² matching 80% or better

    For example Vondrozo (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

    🇧🇷AmparoSão Paulo, Brazil

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

    Shares 23 of your 23 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 22 of your 23 great-fit crops

    99%match
  3. 3

    🇧🇷Cesário LangeSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 46 in rainZone 11a · No frost · 4 chill hours · 1,162 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: mango

    99%match
  4. 4

    🇧🇷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 23 of your 23 great-fit crops

    99%match
  5. 5

    🇧🇷ItaquaquecetubaSão Paulo, Brazil

    Zone 11a · No frost · 7 chill hours · 55 in rainZone 11a · No frost · 7 chill hours · 1,402 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: tea

    99%match
  6. 6

    🇧🇷Pilar do SulSão Paulo, Brazil

    Zone 10b · No frost · 22 chill hours · 49 in rainZone 10b · No frost · 22 chill hours · 1,237 mm rain

    Shares 20 of your 23 great-fit crops

    99%match
  7. 7

    🇧🇷PiracaiaSão Paulo, Brazil

    Zone 10b · No frost · 37 chill hours · 53 in rainZone 10b · No frost · 37 chill hours · 1,350 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: tea

    98%match
  8. 8

    🇧🇷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 23 great-fit crops · Also great there: tea

    98%match
  9. 9

    🇧🇷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 23 great-fit crops · Also great there: tea

    98%match
  10. 10

    🇧🇷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 21 of your 23 great-fit crops · Also great there: mango

    97%match
  11. 11

    🇧🇷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 23 great-fit crops

    97%match
  12. 12

    🇧🇷ValençaRio de Janeiro, Brazil

    Zone 11a · No frost · 2 chill hours · 49 in rainZone 11a · No frost · 2 chill hours · 1,253 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango

    96%match
  13. 13

    🇧🇷AvaréSão Paulo, Brazil

    Zone 11a · No frost · 8 chill hours · 49 in rainZone 11a · No frost · 8 chill hours · 1,233 mm rain

    Shares 23 of your 23 great-fit crops

    96%match
  14. 14

    🇧🇷MaríliaSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 50 in rainZone 11a · No frost · 4 chill hours · 1,273 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango

    96%match
  15. 15

    🇧🇷PindamonhangabaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,268 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: mango

    95%match
  16. 16

    🇧🇷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 21 of your 23 great-fit crops · Also great there: mango

    95%match
  17. 17

    🇧🇷Mogi GuaçuSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 52 in rainZone 11a · No frost · 4 chill hours · 1,329 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: mango

    95%match
  18. 18

    🇧🇷ItatiaiaRio de Janeiro, Brazil

    Zone 11a · No frost · 4 chill hours · 59 in rainZone 11a · No frost · 4 chill hours · 1,493 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango, tea

    95%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 21 of your 23 great-fit crops

    94%match
  20. 20

    🇧🇷CharqueadaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 50 in rainZone 11a · No frost · 2 chill hours · 1,282 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: mango

    94%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 Cabreúva: 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.