Climatch

Land with a climate like Juquiá

🇧🇷Juquiá, São Paulo, Brazil

The towns with the closest growing climate to Juquiá are Itanhaém, Brazil (99% match), Antonina and Caraguatatuba. About 161,000 sq mi of land in 15 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Paraná, Brazil and São Paulo, Brazil.The towns with the closest growing climate to Juquiá are Itanhaém, Brazil (99% match), Antonina and Caraguatatuba. About 417,000 km² of land in 15 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Paraná, Brazil and São Paulo, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,586 mm rain

What grows in Juquiá →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    22k sq mi57k km² matching 80% or better

    For example Naviraí (85), Fátima do Sul (85)

  2. 2

    🇧🇷Paraná, Brazil

    20k sq mi52k km² matching 80% or better

    For example Morretes (99), Antonina (98)

  3. 3

    🇧🇷São Paulo, Brazil

    20k sq mi51k km² matching 80% or better

    For example Itanhaém (99), Caraguatatuba (97)

  4. 4

    🇨🇳Guangdong, China

    5,800 sq mi15k km² matching 80% or better

    For example Shanwei (81), Jieshi (80)

  5. 5

    🇹🇼Taiwan

    3,800 sq mi9,900 km² matching 80% or better

    For example Hsinchu (87), Zhubei (87)

  6. 6

    🇲🇽Veracruz, Mexico

    2,200 sq mi5,800 km² matching 80% or better

    For example Tlapacoyan (86), Misantla (84)

  7. 7

    🇻🇳Tuyen Quang, Vietnam

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

    For example Hà Giang (84), Thị Trấn Việt Quang (83)

  8. 8

    🇿🇦KwaZulu-Natal, South Africa

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

    For example Mtubatuba (83), Richards Bay (82)

  9. 9

    🇵🇫Îles du Vent, French Polynesia

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

    For example Punaauia (79), Faaa (77)

  10. 10

    🇻🇳Lao Cai, Vietnam

    1,700 sq mi4,300 km² matching 80% or better

    For example Lào Cai (84), Thị Trấn Phố Lu (84)

  11. 11

    🇵🇪Junin, Peru

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

    For example Satipo (79), Santa Rosa (77)

  12. 12

    🇹🇴Tongatapu, Tonga

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

    For example Nuku‘alofa (82)

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

    🇧🇷ItanhaémSão Paulo, Brazil

    Zone 12a · No frost · 0 chill hours · 79 in rainZone 12a · No frost · 0 chill hours · 2,018 mm rain

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

    99%match
  2. 2

    🇧🇷AntoninaParaná, Brazil

    Zone 11b · No frost · 0 chill hours · 75 in rainZone 11b · No frost · 0 chill hours · 1,895 mm rain

    Shares 22 of your 23 great-fit crops

    98%match
  3. 3

    🇧🇷CaraguatatubaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 85 in rainZone 11b · No frost · 0 chill hours · 2,162 mm rain

    Shares 23 of your 23 great-fit crops

    97%match
  4. 4

    🇧🇷JoinvilleSanta Catarina, Brazil

    Zone 11a · No frost · 0 chill hours · 71 in rainZone 11a · No frost · 0 chill hours · 1,800 mm rain

    Shares 22 of your 23 great-fit crops

    97%match
  5. 5

    🇧🇷Angra dos ReisRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 70 in rainZone 11b · No frost · 0 chill hours · 1,768 mm rain

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

    96%match
  6. 6

    🇧🇷ParatyRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 90 in rainZone 11b · No frost · 0 chill hours · 2,297 mm rain

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

    95%match
  7. 7

    🇧🇷SantosSão Paulo, Brazil

    Zone 12a · No frost · 0 chill hours · 100 in rainZone 12a · No frost · 0 chill hours · 2,541 mm rain

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

    95%match
  8. 8

    🇧🇷MatinhosParaná, Brazil

    Zone 11b · No frost · 0 chill hours · 80 in rainZone 11b · No frost · 0 chill hours · 2,031 mm rain

    Shares 22 of your 23 great-fit crops

    95%match
  9. 9

    🇧🇷UbatubaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 96 in rainZone 11b · No frost · 0 chill hours · 2,444 mm rain

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

    95%match
  10. 10

    🇧🇷Cerro AzulParaná, Brazil

    Zone 11a · No frost · 5 chill hours · 46 in rainZone 11a · No frost · 5 chill hours · 1,172 mm rain

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

    93%match
  11. 11

    🇧🇷GuapimirimRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,399 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: fig, cacao

    92%match
  12. 12

    🇧🇷CorupáSanta Catarina, Brazil

    Zone 11a · No frost · 4 chill hours · 63 in rainZone 11a · No frost · 4 chill hours · 1,589 mm rain

    Shares 22 of your 23 great-fit crops

    92%match
  13. 13

    🇧🇷ItajaíSanta Catarina, Brazil

    Zone 11a · No frost · 5 chill hours · 67 in rainZone 11a · No frost · 5 chill hours · 1,713 mm rain

    Shares 22 of your 23 great-fit crops

    92%match
  14. 14

    🇧🇷MacaéRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,243 mm rain

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

    92%match
  15. 15

    🇧🇷ItaguaíRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 51 in rainZone 11b · No frost · 0 chill hours · 1,303 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: fig, cacao

    92%match
  16. 16

    🇧🇷Rio das OstrasRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 48 in rainZone 12a · No frost · 0 chill hours · 1,209 mm rain

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

    91%match
  17. 17

    🇧🇷SerraEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,204 mm rain

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

    91%match
  18. 18

    🇧🇷FlorianópolisSanta Catarina, Brazil

    Zone 11a · No frost · 0 chill hours · 65 in rainZone 11a · No frost · 0 chill hours · 1,659 mm rain

    Shares 22 of your 23 great-fit crops

    91%match
  19. 19

    🇧🇷BlumenauSanta Catarina, Brazil

    Zone 11a · No frost · 4 chill hours · 67 in rainZone 11a · No frost · 4 chill hours · 1,703 mm rain

    Shares 22 of your 23 great-fit crops

    90%match
  20. 20

    🇧🇷Cabo FrioRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 46 in rainZone 12a · No frost · 0 chill hours · 1,162 mm rain

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

    90%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 Juquiá: 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.