Climatch

Land with a climate like Paiçandu

🇧🇷Paiçandu, Paraná, Brazil

The towns with the closest growing climate to Paiçandu are Telêmaco Borba, Brazil (97% match), Itapeva and Faxinal. About 202,000 sq mi of land in 8 countries matches 80% or better, most of it in Paraná, Brazil, Rio Grande do Sul, Brazil and Santa Catarina, Brazil.The towns with the closest growing climate to Paiçandu are Telêmaco Borba, Brazil (97% match), Itapeva and Faxinal. About 524,000 km² of land in 8 countries matches 80% or better, most of it in Paraná, Brazil, Rio Grande do Sul, Brazil and Santa Catarina, Brazil.

Your growing climate

Zone 10b · No frost · 62 chill hours · 48 in rainZone 10b · No frost · 62 chill hours · 1,221 mm rain

What grows in Paiçandu →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    74k sq mi191k km² matching 80% or better

    For example Telêmaco Borba (97), Ortigueira (97)

  2. 2

    🇧🇷Rio Grande do Sul, Brazil

    35k sq mi92k km² matching 80% or better

    For example Teutônia (87), Encantado (86)

  3. 3

    🇧🇷Santa Catarina, Brazil

    28k sq mi73k km² matching 80% or better

    For example Urussanga (94), Forquilhinha (94)

  4. 4

    🇦🇷Misiones, Argentina

    6,200 sq mi16k km² matching 80% or better

    For example San Vicente (87), San Pedro (87)

  5. 5

    🇲🇬Alaotra Mangoro, Madagascar

    3,100 sq mi8,100 km² matching 80% or better

    For example Moramanga (84), Didy (74)

  6. 6

    🇲🇬Atsinanana, Madagascar

    1,700 sq mi4,400 km² matching 80% or better

    For example Marolambo (57), Vohibinany (51)

  7. 7

    🇿🇦KwaZulu-Natal, South Africa

    1,300 sq mi3,400 km² matching 80% or better

    For example KwaDukuza (80), eSikhaleni (80)

  8. 8

    🇵🇪San Martín Department, Peru

    600 sq mi1,500 km² matching 80% or better

  9. 9

    🇲🇽Veracruz, Mexico

    600 sq mi1,500 km² matching 80% or better

    For example Xico (81), Banderilla (81)

  10. 10

    🇲🇬Amoron'i Mania, Madagascar

    600 sq mi1,400 km² matching 80% or better

    For example Ambositra (66), Fandriana (66)

  11. 11

    🇹🇿Tanga, Tanzania

    300 sq mi800 km² matching 80% or better

    For example Matui (78), Maramba (76)

  12. 12

    🇵🇪Puno, Peru

    300 sq mi800 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

    🇧🇷Telêmaco BorbaParaná, Brazil

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

    Shares 19 of your 20 great-fit crops · Also great there: tea

    97%match
  2. 2

    🇧🇷ItapevaSão Paulo, Brazil

    Zone 10b · No frost · 59 chill hours · 48 in rainZone 10b · No frost · 59 chill hours · 1,223 mm rain

    Shares 20 of your 20 great-fit crops

    96%match
  3. 3

    🇧🇷FaxinalParaná, Brazil

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

    Shares 19 of your 20 great-fit crops · Also great there: tea

    96%match
  4. 4

    🇧🇷IbaitiParaná, Brazil

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

    Shares 19 of your 20 great-fit crops · Also great there: tea

    95%match
  5. 5

    🇧🇷Capão BonitoSão Paulo, Brazil

    Zone 10b · No frost · 40 chill hours · 49 in rainZone 10b · No frost · 40 chill hours · 1,246 mm rain

    Shares 20 of your 20 great-fit crops

    95%match
  6. 6

    🇧🇷ItararéSão Paulo, Brazil

    Zone 10b · No frost · 56 chill hours · 49 in rainZone 10b · No frost · 56 chill hours · 1,245 mm rain

    Shares 20 of your 20 great-fit crops

    94%match
  7. 7

    🇧🇷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 18 of your 20 great-fit crops · Also great there: tea

    94%match
  8. 8

    🇧🇷Pilar do SulSão Paulo, Brazil

    Zone 10b · No frost · 22 chill hours · 49 in rainZone 10b · No frost · 22 chill hours · 1,237 mm rain

    Shares 20 of your 20 great-fit crops

    94%match
  9. 9

    🇧🇷PrudentópolisParaná, Brazil

    Zone 10b · No frost · 82 chill hours · 60 in rainZone 10b · No frost · 82 chill hours · 1,515 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: tea, peach, apple

    94%match
  10. 10

    🇧🇷Santa Maria de JetibáEspírito Santo, Brazil

    Zone 11a · No frost · 1 chill hours · 48 in rainZone 11a · No frost · 1 chill hours · 1,215 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: banana, sugarcane, cassava

    94%match
  11. 11

    🇧🇷ApiaíSão Paulo, Brazil

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

    Shares 19 of your 20 great-fit crops · Also great there: apple, blueberry, peach

    94%match
  12. 12

    🇧🇷Cruzeiro do OesteParaná, Brazil

    Zone 11a · No frost · 5 chill hours · 55 in rainZone 11a · No frost · 5 chill hours · 1,394 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: banana, sugarcane, tea

    94%match
  13. 13

    🇧🇷Marechal FlorianoEspírito Santo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,213 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: banana, sugarcane, cassava

    93%match
  14. 14

    🇧🇷IvaiporãParaná, Brazil

    Zone 10b · No frost · 21 chill hours · 61 in rainZone 10b · No frost · 21 chill hours · 1,543 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: tea, banana, sugarcane

    93%match
  15. 15

    🇧🇷CriciúmaSanta Catarina, Brazil

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

    Shares 19 of your 20 great-fit crops · Also great there: tea, sugarcane

    93%match
  16. 16

    🇧🇷ReservaParaná, Brazil

    Zone 10b · Frost 1 years in 10 · 161 chill hours · 58 in rainZone 10b · Frost 1 years in 10 · 161 chill hours · 1,482 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: tea, apple, peach

    93%match
  17. 17

    🇧🇷PetrópolisRio de Janeiro, Brazil

    Zone 10b · No frost · 29 chill hours · 70 in rainZone 10b · No frost · 29 chill hours · 1,789 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: tea

    93%match
  18. 18

    🇧🇷Vargem AltaEspírito Santo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,180 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: sugarcane, cassava, banana

    92%match
  19. 19

    🇧🇷UbiratãParaná, Brazil

    Zone 10b · No frost · 15 chill hours · 64 in rainZone 10b · No frost · 15 chill hours · 1,618 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: tea, banana, sugarcane

    92%match
  20. 20

    🇧🇷Ponta GrossaParaná, Brazil

    Zone 10b · Frost 1 years in 10 · 136 chill hours · 57 in rainZone 10b · Frost 1 years in 10 · 136 chill hours · 1,454 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: tea, apple, peach

    92%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 Paiçandu: 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.