Climatch

Land with a climate like Jaguaruna

🇧🇷Jaguaruna, Santa Catarina, Brazil

The towns with the closest growing climate to Jaguaruna are Garopaba, Brazil (99% match), Florianópolis and Itajaí. About 252,000 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 Jaguaruna are Garopaba, Brazil (99% match), Florianópolis and Itajaí. About 652,000 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 · 8 chill hours · 57 in rainZone 11a · No frost · 8 chill hours · 1,459 mm rain

What grows in Jaguaruna →

Regions with the most land like yours

  1. 1

    🇧🇷Rio Grande do Sul, Brazil

    95k sq mi247k km² matching 80% or better

    For example Torres (99), Osório (99)

  2. 2

    🇧🇷Paraná, Brazil

    63k sq mi163k km² matching 80% or better

    For example Morretes (97), Antonina (97)

  3. 3

    🇧🇷São Paulo, Brazil

    24k sq mi63k km² matching 80% or better

    For example Ilhabela (92), Itariri (92)

  4. 4

    🇦🇷Misiones, Argentina

    14k sq mi36k km² matching 80% or better

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

  5. 5

    🇦🇷Corrientes, Argentina

    7,600 sq mi20k km² matching 80% or better

    For example Santo Tomé (86), Gobernador Virasora (86)

  6. 6

    🇿🇦KwaZulu-Natal, South Africa

    2,400 sq mi6,100 km² matching 80% or better

    For example eSikhaleni (83), Richards Bay (81)

  7. 7

    🇵🇾Alto Paraná Department, Paraguay

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

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

  8. 8

    🇹🇼Taiwan

    1,400 sq mi3,500 km² matching 80% or better

    For example Daxi (80), Bade (80)

  9. 9

    🇵🇾Itapúa, Paraguay

    800 sq mi2,100 km² matching 80% or better

    For example Encarnación (80)

  10. 10

    🇺🇾Cerro Largo, Uruguay

    800 sq mi2,000 km² matching 80% or better

    For example Melo (74)

  11. 11

    🇲🇽Veracruz, Mexico

    600 sq mi1,500 km² matching 80% or better

    For example Tlapacoyan (76), Coatepec (72)

  12. 12

    🇹🇼Taipei, Taiwan

    300 sq mi700 km² matching 80% or better

    For example Sanxia (77), Yingge (77)

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

    🇧🇷GaropabaSanta Catarina, Brazil

    Zone 11a · No frost · 0 chill hours · 63 in rainZone 11a · No frost · 0 chill hours · 1,603 mm rain

    Shares 22 of your 23 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 23 great-fit crops

    99%match
  3. 3

    🇧🇷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

    99%match
  4. 4

    🇧🇷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

    99%match
  5. 5

    🇧🇷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 21 of your 23 great-fit crops

    99%match
  6. 6

    🇧🇷Jaraguá do SulSanta Catarina, Brazil

    Zone 11a · No frost · 2 chill hours · 66 in rainZone 11a · No frost · 2 chill hours · 1,673 mm rain

    Shares 22 of your 23 great-fit crops

    99%match
  7. 7

    🇧🇷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 23 great-fit crops

    99%match
  8. 8

    🇧🇷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 22 of your 23 great-fit crops

    99%match
  9. 9

    🇧🇷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 23 of your 23 great-fit crops

    98%match
  10. 10

    🇧🇷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 20 of your 23 great-fit crops

    98%match
  11. 11

    🇧🇷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 23 great-fit crops

    98%match
  12. 12

    🇧🇷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 22 of your 23 great-fit crops

    97%match
  13. 13

    🇧🇷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 21 of your 23 great-fit crops

    97%match
  14. 14

    🇧🇷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 21 of your 23 great-fit crops · Also great there: peach, apple, blueberry

    97%match
  15. 15

    🇧🇷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 23 great-fit crops

    96%match
  16. 16

    🇧🇷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

    96%match
  17. 17

    🇧🇷Dois IrmãosRio Grande do Sul, Brazil

    Zone 10b · No frost · 33 chill hours · 63 in rainZone 10b · No frost · 33 chill hours · 1,594 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: apple, peach, blueberry

    96%match
  18. 18

    🇧🇷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 21 of your 23 great-fit crops

    95%match
  19. 19

    🇧🇷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 21 of your 23 great-fit crops · Also great there: apple, peach, blueberry

    95%match
  20. 20

    🇧🇷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

    95%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 Jaguaruna: 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.