Climatch

Land with a climate like Caraguatatuba

🇧🇷Caraguatatuba, São Paulo, Brazil

The towns with the closest growing climate to Caraguatatuba are Paraty, Brazil (99% match), Iguape and Miracatu. About 139,000 sq mi of land in 18 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Caraguatatuba are Paraty, Brazil (99% match), Iguape and Miracatu. About 361,000 km² of land in 18 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

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

What grows in Caraguatatuba →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    17k sq mi45k km² matching 80% or better

    For example Antonina (99), Morretes (99)

  2. 2

    🇧🇷São Paulo, Brazil

    13k sq mi35k km² matching 80% or better

    For example Itariri (99), Iguape (99)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    12k sq mi30k km² matching 80% or better

    For example Naviraí (84), Itaquiraí (83)

  4. 4

    🇹🇼Taiwan

    5,200 sq mi13k km² matching 80% or better

    For example Daxi (87), Bade (87)

  5. 5

    🇵🇪Junin, Peru

    3,200 sq mi8,400 km² matching 80% or better

    For example Satipo (76), Santa Rosa (75)

  6. 6

    🇵🇪San Martín Department, Peru

    3,000 sq mi7,700 km² matching 80% or better

    For example Moyobamba (82), Rioja (81)

  7. 7

    🇲🇬Atsinanana, Madagascar

    2,300 sq mi5,900 km² matching 80% or better

    For example Vohibinany (80), Marolambo (77)

  8. 8

    🇮🇩West Sumatra, Indonesia

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

    For example Padangpanjang (83), Bukittinggi (82)

  9. 9

    🇵🇬Morobe Province, Papua New Guinea

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

    For example Bulolo (79)

  10. 10

    🇵🇭Cordillera, Philippines

    2,000 sq mi5,200 km² matching 80% or better

    For example Bontoc (88), Mankayan (83)

  11. 11

    🇮🇩Jambi, Indonesia

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

    For example Sungai Penuh (84)

  12. 12

    🇪🇨Zamora Chinchipe, Ecuador

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

    For example Zamora (78)

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

    🇧🇷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

    99%match
  2. 2

    🇧🇷IguapeSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 77 in rainZone 11b · No frost · 0 chill hours · 1,965 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  3. 3

    🇧🇷MiracatuSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,643 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  4. 4

    🇧🇷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

    99%match
  5. 5

    🇧🇷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

    98%match
  6. 6

    🇧🇷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

    98%match
  7. 7

    🇧🇷ParanaguáParaná, Brazil

    Zone 11b · No frost · 0 chill hours · 81 in rainZone 11b · No frost · 0 chill hours · 2,050 mm rain

    Shares 22 of your 23 great-fit crops

    98%match
  8. 8

    🇧🇷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

    97%match
  9. 9

    🇧🇷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

    97%match
  10. 10

    🇧🇷CajatiSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 70 in rainZone 11b · No frost · 0 chill hours · 1,769 mm rain

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

    95%match
  11. 11

    🇧🇷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

    95%match
  12. 12

    🇧🇷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

    94%match
  13. 13

    🇧🇷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

    93%match
  14. 14

    🇧🇷São João BatistaSanta Catarina, Brazil

    Zone 11a · No frost · 8 chill hours · 66 in rainZone 11a · No frost · 8 chill hours · 1,666 mm rain

    Shares 22 of your 23 great-fit crops

    92%match
  15. 15

    🇧🇷TubarãoSanta Catarina, Brazil

    Zone 11a · No frost · 6 chill hours · 59 in rainZone 11a · No frost · 6 chill hours · 1,499 mm rain

    Shares 22 of your 23 great-fit crops

    92%match
  16. 16

    🇧🇷PomerodeSanta Catarina, Brazil

    Zone 11a · No frost · 6 chill hours · 66 in rainZone 11a · No frost · 6 chill hours · 1,674 mm rain

    Shares 22 of your 23 great-fit crops

    91%match
  17. 17

    🇧🇷ImbitubaSanta Catarina, Brazil

    Zone 11a · No frost · 0 chill hours · 62 in rainZone 11a · No frost · 0 chill hours · 1,563 mm rain

    Shares 22 of your 23 great-fit crops

    90%match
  18. 18

    🇧🇷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

    90%match
  19. 19

    🇲🇽Tlapacoyan↻Seasons flipped. Veracruz, Mexico

    Zone 11b · No frost · 0 chill hours · 76 in rainZone 11b · No frost · 0 chill hours · 1,922 mm rain

    Shares 23 of your 23 great-fit crops

    89%match
  20. 20

    🇧🇷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

    88%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 Caraguatatuba: 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.