Climatch

Land with a climate like Imbituva

🇧🇷Imbituva, Paraná, Brazil

The towns with the closest growing climate to Imbituva are Guarapuava, Brazil (99% match), Pitanga and Castro. About 259,000 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 Imbituva are Guarapuava, Brazil (99% match), Pitanga and Castro. About 671,000 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 10b · Frost 1 years in 10 · 139 chill hours · 57 in rainZone 10b · Frost 1 years in 10 · 139 chill hours · 1,450 mm rain

What grows in Imbituva →

Regions with the most land like yours

  1. 1

    🇧🇷Rio Grande do Sul, Brazil

    98k sq mi254k km² matching 80% or better

    For example Sananduva (97), Lagoa Vermelha (97)

  2. 2

    🇧🇷Paraná, Brazil

    66k sq mi170k km² matching 80% or better

    For example Campo Largo (99), Araucária (99)

  3. 3

    🇧🇷Santa Catarina, Brazil

    40k sq mi103k km² matching 80% or better

    For example Três Barras (99), Canoinhas (99)

  4. 4

    🇦🇷Misiones, Argentina

    4,800 sq mi12k km² matching 80% or better

    For example San Pedro (94), San Vicente (94)

  5. 5

    🇺🇾Cerro Largo, Uruguay

    4,800 sq mi12k km² matching 80% or better

    For example Melo (85)

  6. 6

    🇺🇾Treinta y Tres Department, Uruguay

    4,300 sq mi11k km² matching 80% or better

    For example Treinta y Tres (83)

  7. 7

    🇺🇾Rivera Department, Uruguay

    2,300 sq mi6,000 km² matching 80% or better

    For example Rivera (84)

  8. 8

    🇦🇺New South Wales, Australia

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

    For example Hornsby (80), Central Coast (80)

  9. 9

    🇵🇪Puno, Peru

    900 sq mi2,300 km² matching 80% or better

  10. 10

    🇪🇨Zamora Chinchipe, Ecuador

    600 sq mi1,500 km² matching 80% or better

  11. 11

    🇵🇪San Martín Department, Peru

    600 sq mi1,500 km² matching 80% or better

  12. 12

    🇵🇪Junin, Peru

    600 sq mi1,500 km² matching 80% or better

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

    🇧🇷GuarapuavaParaná, Brazil

    Zone 10b · Frost 1 years in 10 · 155 chill hours · 67 in rainZone 10b · Frost 1 years in 10 · 155 chill hours · 1,691 mm rain

    Shares 19 of your 23 great-fit crops

    99%match
  2. 2

    🇧🇷PitangaParaná, Brazil

    Zone 10b · No frost · 118 chill hours · 67 in rainZone 10b · No frost · 118 chill hours · 1,692 mm rain

    Shares 22 of your 23 great-fit crops

    99%match
  3. 3

    🇧🇷CastroParaná, Brazil

    Zone 10a · Frost 1 years in 10 · 235 chill hours · 63 in rainZone 10a · Frost 1 years in 10 · 235 chill hours · 1,602 mm rain

    Shares 20 of your 23 great-fit crops

    99%match
  4. 4

    🇧🇷CanoinhasSanta Catarina, Brazil

    Zone 10a · Frost 3 years in 10 · 266 chill hours · 59 in rainZone 10a · Frost 3 years in 10 · 266 chill hours · 1,497 mm rain

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

    99%match
  5. 5

    🇧🇷Telêmaco BorbaParaná, Brazil

    Zone 10b · No frost · 98 chill hours · 53 in rainZone 10b · No frost · 98 chill hours · 1,346 mm rain

    Shares 20 of your 23 great-fit crops

    99%match
  6. 6

    🇧🇷MandiritubaParaná, Brazil

    Zone 10b · Frost 1 years in 10 · 159 chill hours · 55 in rainZone 10b · Frost 1 years in 10 · 159 chill hours · 1,409 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: garlic

    99%match
  7. 7

    🇧🇷União da VitóriaParaná, Brazil

    Zone 10a · Frost 2 years in 10 · 206 chill hours · 64 in rainZone 10a · Frost 2 years in 10 · 206 chill hours · 1,629 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  8. 8

    🇧🇷CuritibaParaná, Brazil

    Zone 10b · No frost · 68 chill hours · 62 in rainZone 10b · No frost · 68 chill hours · 1,575 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  9. 9

    🇧🇷ApiaíSão Paulo, Brazil

    Zone 10b · No frost · 108 chill hours · 56 in rainZone 10b · No frost · 108 chill hours · 1,417 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  10. 10

    🇧🇷MafraSanta Catarina, Brazil

    Zone 10a · Frost 2 years in 10 · 221 chill hours · 55 in rainZone 10a · Frost 2 years in 10 · 221 chill hours · 1,403 mm rain

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

    99%match
  11. 11

    🇧🇷Laranjeiras do SulParaná, Brazil

    Zone 10a · Frost 1 years in 10 · 165 chill hours · 69 in rainZone 10a · Frost 1 years in 10 · 165 chill hours · 1,748 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  12. 12

    🇧🇷FaxinalParaná, Brazil

    Zone 10b · No frost · 63 chill hours · 59 in rainZone 10b · No frost · 63 chill hours · 1,497 mm rain

    Shares 20 of your 23 great-fit crops

    99%match
  13. 13

    🇧🇷JaguariaívaParaná, Brazil

    Zone 10a · Frost 1 years in 10 · 164 chill hours · 53 in rainZone 10a · Frost 1 years in 10 · 164 chill hours · 1,344 mm rain

    Shares 19 of your 23 great-fit crops

    99%match
  14. 14

    🇧🇷BiturunaParaná, Brazil

    Zone 10a · Frost 3 years in 10 · 294 chill hours · 70 in rainZone 10a · Frost 3 years in 10 · 294 chill hours · 1,779 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: pecan

    98%match
  15. 15

    🇧🇷São Bento do SulSanta Catarina, Brazil

    Zone 10a · Frost 2 years in 10 · 211 chill hours · 61 in rainZone 10a · Frost 2 years in 10 · 211 chill hours · 1,540 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: pecan, cherry

    98%match
  16. 16

    🇧🇷ApucaranaParaná, Brazil

    Zone 10b · No frost · 61 chill hours · 57 in rainZone 10b · No frost · 61 chill hours · 1,459 mm rain

    Shares 20 of your 23 great-fit crops

    98%match
  17. 17

    🇧🇷ConcórdiaSanta Catarina, Brazil

    Zone 10b · Frost 1 years in 10 · 142 chill hours · 71 in rainZone 10b · Frost 1 years in 10 · 142 chill hours · 1,806 mm rain

    Shares 21 of your 23 great-fit crops

    98%match
  18. 18

    🇧🇷Campos NovosSanta Catarina, Brazil

    Zone 10a · Frost 4 years in 10 · 335 chill hours · 63 in rainZone 10a · Frost 4 years in 10 · 335 chill hours · 1,594 mm rain

    Shares 17 of your 23 great-fit crops · Also great there: pecan, cherry

    98%match
  19. 19

    🇧🇷GuapiaraSão Paulo, Brazil

    Zone 10b · No frost · 77 chill hours · 53 in rainZone 10b · No frost · 77 chill hours · 1,335 mm rain

    Shares 22 of your 23 great-fit crops

    98%match
  20. 20

    🇧🇷IbaitiParaná, Brazil

    Zone 10b · No frost · 56 chill hours · 52 in rainZone 10b · No frost · 56 chill hours · 1,319 mm rain

    Shares 20 of your 23 great-fit crops

    97%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 Imbituva: 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.