Climatch

Land with a climate like Corupá

🇧🇷Corupá, Santa Catarina, Brazil

The towns with the closest growing climate to Corupá are Itajaí, Brazil (99% match), Florianópolis and Ibirama. About 253,000 sq mi of land in 7 countries matches 80% or better, most of it in Rio Grande do Sul, Brazil, Paraná, Brazil and São Paulo, Brazil.The towns with the closest growing climate to Corupá are Itajaí, Brazil (99% match), Florianópolis and Ibirama. About 655,000 km² of land in 7 countries matches 80% or better, most of it in Rio Grande do Sul, Brazil, Paraná, Brazil and São Paulo, Brazil.

Your growing climate

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

What grows in Corupá →

Regions with the most land like yours

  1. 1

    🇧🇷Rio Grande do Sul, Brazil

    89k sq mi230k km² matching 80% or better

    For example Campo Bom (97), Novo Hamburgo (97)

  2. 2

    🇧🇷Paraná, Brazil

    67k sq mi175k km² matching 80% or better

    For example Morretes (99), Antonina (99)

  3. 3

    🇧🇷São Paulo, Brazil

    28k sq mi72k km² matching 80% or better

    For example Ilhabela (95), Itariri (94)

  4. 4

    🇦🇷Misiones, Argentina

    13k sq mi35k km² matching 80% or better

    For example El Soberbio (87), Eldorado (86)

  5. 5

    🇦🇷Corrientes, Argentina

    5,800 sq mi15k km² matching 80% or better

    For example Gobernador Virasora (84), Santo Tomé (84)

  6. 6

    🇹🇼Taiwan

    2,200 sq mi5,600 km² matching 80% or better

    For example Daxi (83), Bade (82)

  7. 7

    🇵🇾Alto Paraná Department, Paraguay

    1,600 sq mi4,200 km² matching 80% or better

    For example Ciudad del Este (81), Presidente Franco (80)

  8. 8

    🇲🇽Veracruz, Mexico

    600 sq mi1,500 km² matching 80% or better

    For example Tlapacoyan (75), Coatepec (73)

  9. 9

    🇵🇾Itapúa, Paraguay

    500 sq mi1,400 km² matching 80% or better

    For example Encarnación (80)

  10. 10

    🇨🇳Yunnan, China

    300 sq mi700 km² matching 80% or better

    For example Hekou (58), Wenshan City (57)

  11. 11

    🇹🇼Taipei, Taiwan

    300 sq mi700 km² matching 80% or better

    For example Sanxia (79), Yingge (79)

  12. 12

    🇵🇾Caazapá, Paraguay

    300 sq mi700 km² matching 80% or better

    For example Caazapá (74)

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

    🇧🇷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
  2. 2

    🇧🇷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 22 great-fit crops

    99%match
  3. 3

    🇧🇷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

    99%match
  4. 4

    🇧🇷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

    99%match
  5. 5

    🇧🇷São JoséSanta Catarina, Brazil

    Zone 10b · No frost · 23 chill hours · 60 in rainZone 10b · No frost · 23 chill hours · 1,532 mm rain

    Shares 19 of your 22 great-fit crops

    99%match
  6. 6

    🇧🇷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 22 great-fit crops

    99%match
  7. 7

    🇧🇷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 22 great-fit crops

    97%match
  8. 8

    🇧🇷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

    97%match
  9. 9

    🇧🇷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

    97%match
  10. 10

    🇧🇷São Sebastião do CaíRio Grande do Sul, Brazil

    Zone 10b · No frost · 15 chill hours · 57 in rainZone 10b · No frost · 15 chill hours · 1,437 mm rain

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

    97%match
  11. 11

    🇧🇷LajeadoRio Grande do Sul, Brazil

    Zone 10b · No frost · 16 chill hours · 53 in rainZone 10b · No frost · 16 chill hours · 1,356 mm rain

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

    96%match
  12. 12

    🇧🇷Eldorado do SulRio Grande do Sul, Brazil

    Zone 10b · No frost · 19 chill hours · 55 in rainZone 10b · No frost · 19 chill hours · 1,394 mm rain

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

    96%match
  13. 13

    🇧🇷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 22 great-fit crops · Also great there: fig

    96%match
  14. 14

    🇧🇷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

    96%match
  15. 15

    🇧🇷IgrejinhaRio Grande do Sul, Brazil

    Zone 10b · No frost · 21 chill hours · 63 in rainZone 10b · No frost · 21 chill hours · 1,595 mm rain

    Shares 19 of your 22 great-fit crops

    96%match
  16. 16

    🇧🇷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

    96%match
  17. 17

    🇧🇷Santa Cruz do SulRio Grande do Sul, Brazil

    Zone 10b · No frost · 21 chill hours · 52 in rainZone 10b · No frost · 21 chill hours · 1,326 mm rain

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

    95%match
  18. 18

    🇧🇷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

    95%match
  19. 19

    🇧🇷ItuporangaSanta Catarina, Brazil

    Zone 10b · No frost · 77 chill hours · 64 in rainZone 10b · No frost · 77 chill hours · 1,632 mm rain

    Shares 19 of your 22 great-fit crops · Also great there: apple, blueberry, peach

    95%match
  20. 20

    🇧🇷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

    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 Corupá: 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.