Climatch

Land with a climate like Imbituba

🇧🇷Imbituba, Santa Catarina, Brazil

The towns with the closest growing climate to Imbituba are Biguaçu, Brazil (99% match), Torres and Capão da Canoa. About 174,000 sq mi of land in 7 countries matches 80% or better, most of it in Rio Grande do Sul, Brazil, Paraná, Brazil and Santa Catarina, Brazil.The towns with the closest growing climate to Imbituba are Biguaçu, Brazil (99% match), Torres and Capão da Canoa. About 451,000 km² of land in 7 countries matches 80% or better, most of it in Rio Grande do Sul, Brazil, Paraná, Brazil and Santa Catarina, Brazil.

Your growing climate

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

What grows in Imbituba →

Regions with the most land like yours

  1. 1

    🇧🇷Rio Grande do Sul, Brazil

    80k sq mi206k km² matching 80% or better

    For example Torres (99), Capão da Canoa (99)

  2. 2

    🇧🇷Paraná, Brazil

    32k sq mi84k km² matching 80% or better

    For example Matinhos (97), Guaratuba (97)

  3. 3

    🇧🇷Santa Catarina, Brazil

    20k sq mi51k km² matching 80% or better

    For example Bombinhas (99), Biguaçu (99)

  4. 4

    🇦🇷Misiones, Argentina

    7,500 sq mi19k km² matching 80% or better

    For example El Soberbio (83), Eldorado (80)

  5. 5

    🇹🇼Taiwan

    3,000 sq mi7,800 km² matching 80% or better

    For example Daxi (84), Bade (83)

  6. 6

    🇦🇷Corrientes, Argentina

    2,100 sq mi5,500 km² matching 80% or better

    For example Santo Tomé (81), Gobernador Virasora (81)

  7. 7

    🇳🇨South Province, New Caledonia

    800 sq mi2,200 km² matching 80% or better

    For example Mont-Dore (65), Dumbéa (60)

  8. 8

    🇲🇽Veracruz, Mexico

    600 sq mi1,500 km² matching 80% or better

    For example Tlapacoyan (76), Coatepec (66)

  9. 9

    🇹🇼Taipei, Taiwan

    500 sq mi1,400 km² matching 80% or better

    For example Sanxia (81), Yingge (81)

  10. 10

    🇿🇦KwaZulu-Natal, South Africa

    500 sq mi1,400 km² matching 80% or better

    For example eSikhaleni (79), Richards Bay (78)

  11. 11

    🇺🇸Louisiana, United States

    300 sq mi700 km² matching 80% or better

    For example Bayou Cane (75), Houma (75)

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

    🇧🇷BiguaçuSanta Catarina, Brazil

    Zone 11a · No frost · 6 chill hours · 66 in rainZone 11a · No frost · 6 chill hours · 1,666 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  2. 2

    🇧🇷TorresRio Grande do Sul, Brazil

    Zone 11a · No frost · 7 chill hours · 55 in rainZone 11a · No frost · 7 chill hours · 1,397 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: fig

    99%match
  3. 3

    🇧🇷Capão da CanoaRio Grande do Sul, Brazil

    Zone 11a · No frost · 6 chill hours · 57 in rainZone 11a · No frost · 6 chill hours · 1,449 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: fig

    99%match
  4. 4

    🇧🇷SchroederSanta Catarina, Brazil

    Zone 11a · No frost · 1 chill hours · 65 in rainZone 11a · No frost · 1 chill hours · 1,660 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  5. 5

    🇧🇷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 22 great-fit crops

    99%match
  6. 6

    🇧🇷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 22 great-fit crops

    99%match
  7. 7

    🇧🇷CidreiraRio Grande do Sul, Brazil

    Zone 11a · No frost · 6 chill hours · 58 in rainZone 11a · No frost · 6 chill hours · 1,482 mm rain

    Shares 19 of your 22 great-fit crops · Also great there: fig

    99%match
  8. 8

    🇧🇷Cocal do SulSanta Catarina, Brazil

    Zone 10b · No frost · 33 chill hours · 56 in rainZone 10b · No frost · 33 chill hours · 1,424 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: fig

    98%match
  9. 9

    🇧🇷CriciúmaSanta Catarina, Brazil

    Zone 10b · No frost · 33 chill hours · 55 in rainZone 10b · No frost · 33 chill hours · 1,402 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: fig

    98%match
  10. 10

    🇧🇷IbiramaSanta Catarina, Brazil

    Zone 10b · No frost · 23 chill hours · 64 in rainZone 10b · No frost · 23 chill hours · 1,626 mm rain

    Shares 19 of your 22 great-fit crops

    97%match
  11. 11

    🇧🇷São Francisco do SulSanta Catarina, Brazil

    Zone 11b · No frost · 0 chill hours · 75 in rainZone 11b · No frost · 0 chill hours · 1,898 mm rain

    Shares 22 of your 22 great-fit crops

    97%match
  12. 12

    🇧🇷ViamãoRio Grande do Sul, Brazil

    Zone 10b · No frost · 14 chill hours · 59 in rainZone 10b · No frost · 14 chill hours · 1,492 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: fig

    97%match
  13. 13

    🇧🇷Porto AlegreRio Grande do Sul, Brazil

    Zone 11a · No frost · 6 chill hours · 57 in rainZone 11a · No frost · 6 chill hours · 1,456 mm rain

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

    97%match
  14. 14

    🇧🇷Novo HamburgoRio Grande do Sul, Brazil

    Zone 10b · No frost · 14 chill hours · 60 in rainZone 10b · No frost · 14 chill hours · 1,512 mm rain

    Shares 21 of your 22 great-fit crops

    97%match
  15. 15

    🇧🇷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 22 great-fit crops

    97%match
  16. 16

    🇧🇷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 22 great-fit crops

    97%match
  17. 17

    🇧🇷TriunfoRio Grande do Sul, Brazil

    Zone 10b · No frost · 14 chill hours · 54 in rainZone 10b · No frost · 14 chill hours · 1,365 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: fig

    96%match
  18. 18

    🇧🇷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 22 great-fit crops

    96%match
  19. 19

    🇧🇷CamaquãRio Grande do Sul, Brazil

    Zone 10b · No frost · 26 chill hours · 55 in rainZone 10b · No frost · 26 chill hours · 1,405 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: peach, apple, fig

    96%match
  20. 20

    🇧🇷São Lourenço do SulRio Grande do Sul, Brazil

    Zone 10b · No frost · 30 chill hours · 53 in rainZone 10b · No frost · 30 chill hours · 1,347 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: apple, peach, blueberry

    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 Imbituba: 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.