Climatch

Land with a climate like Iporã, Brazil

🇧🇷Iporã, Paraná, Brazil

The towns with the closest growing climate to Iporã, Brazil are Santa Helena, Brazil (99% match), Itaquiraí and Paranavaí. About 391,000 sq mi of land in 11 countries matches 80% or better, most of it in Rio Grande do Sul, Brazil, Paraná, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Iporã, Brazil are Santa Helena, Brazil (99% match), Itaquiraí and Paranavaí. About 1.0 million km² of land in 11 countries matches 80% or better, most of it in Rio Grande do Sul, Brazil, Paraná, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

Zone 11a · No frost · 5 chill hours · 53 in rainZone 11a · No frost · 5 chill hours · 1,348 mm rain

What grows in Iporã, Brazil →

Regions with the most land like yours

  1. 1

    🇧🇷Rio Grande do Sul, Brazil

    70k sq mi183k km² matching 80% or better

    For example Horizontina (95), São Borja (95)

  2. 2

    🇧🇷Paraná, Brazil

    61k sq mi157k km² matching 80% or better

    For example Santa Helena (99), Tapejara (99)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    39k sq mi101k km² matching 80% or better

    For example Itaquiraí (99), Naviraí (99)

  4. 4

    🇦🇷Corrientes, Argentina

    32k sq mi84k km² matching 80% or better

    For example Gobernador Virasora (96), Ituzaingó (96)

  5. 5

    🇺🇸Florida, United States

    15k sq mi40k km² matching 80% or better

    For example DeLand (84), Ocala (83)

  6. 6

    🇦🇷Misiones, Argentina

    15k sq mi39k km² matching 80% or better

    For example Puerto Iguazú (99), Colonia Wanda (99)

  7. 7

    🇦🇷Chaco, Argentina

    9,900 sq mi26k km² matching 80% or better

    For example Resistencia (89), Barranqueras (88)

  8. 8

    🇦🇺Queensland, Australia

    6,900 sq mi18k km² matching 80% or better

    For example Gold Coast (84), Sunshine Coast (83)

  9. 9

    🇵🇾Caaguazú Department, Paraguay

    6,800 sq mi18k km² matching 80% or better

    For example Doctor Juan Eulogio Estigarribia (97), Caaguazú (96)

  10. 10

    🇵🇾Concepción, Paraguay

    6,100 sq mi16k km² matching 80% or better

    For example Yby Yaú (88), Concepción (72)

  11. 11

    🇵🇾Misiones Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example San Juan Bautista (93)

  12. 12

    🇿🇦KwaZulu-Natal, South Africa

    5,000 sq mi13k km² matching 80% or better

    For example Empangeni (90), eSikhaleni (89)

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

    🇧🇷Santa HelenaParaná, Brazil

    Zone 10b · No frost · 13 chill hours · 62 in rainZone 10b · No frost · 13 chill hours · 1,569 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  2. 2

    🇧🇷ItaquiraíMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,470 mm rain

    Shares 24 of your 24 great-fit crops

    99%match
  3. 3

    🇧🇷ParanavaíParaná, Brazil

    Zone 11a · No frost · 4 chill hours · 48 in rainZone 11a · No frost · 4 chill hours · 1,219 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  4. 4

    🇧🇷UbiratãParaná, Brazil

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

    Shares 22 of your 24 great-fit crops

    99%match
  5. 5

    🇵🇾Ciudad del EsteAlto Paraná Department, Paraguay

    Zone 10b · No frost · 12 chill hours · 68 in rainZone 10b · No frost · 12 chill hours · 1,722 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  6. 6

    🇧🇷NaviraíMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,472 mm rain

    Shares 24 of your 24 great-fit crops

    99%match
  7. 7

    🇦🇷Puerto EsperanzaMisiones, Argentina

    Zone 10b · No frost · 33 chill hours · 65 in rainZone 10b · No frost · 33 chill hours · 1,640 mm rain

    Shares 21 of your 24 great-fit crops

    99%match
  8. 8

    🇧🇷ToledoParaná, Brazil

    Zone 10b · No frost · 34 chill hours · 56 in rainZone 10b · No frost · 34 chill hours · 1,413 mm rain

    Shares 21 of your 24 great-fit crops

    99%match
  9. 9

    🇧🇷CianorteParaná, Brazil

    Zone 10b · No frost · 11 chill hours · 54 in rainZone 10b · No frost · 11 chill hours · 1,361 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  10. 10

    🇧🇷LoandaParaná, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,232 mm rain

    Shares 23 of your 24 great-fit crops

    98%match
  11. 11

    🇧🇷Santo Antônio da PlatinaParaná, Brazil

    Zone 11a · No frost · 7 chill hours · 50 in rainZone 11a · No frost · 7 chill hours · 1,281 mm rain

    Shares 23 of your 24 great-fit crops

    98%match
  12. 12

    🇦🇷EldoradoMisiones, Argentina

    Zone 10b · Frost 1 years in 10 · 60 chill hours · 62 in rainZone 10b · Frost 1 years in 10 · 60 chill hours · 1,567 mm rain

    Shares 20 of your 24 great-fit crops

    98%match
  13. 13

    🇧🇷ColoradoParaná, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,253 mm rain

    Shares 23 of your 24 great-fit crops

    98%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 21 of your 24 great-fit crops

    98%match
  15. 15

    🇧🇷AmambaiMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 61 in rainZone 11a · No frost · 0 chill hours · 1,542 mm rain

    Shares 23 of your 24 great-fit crops

    98%match
  16. 16

    🇧🇷Cornélio ProcópioParaná, Brazil

    Zone 11a · No frost · 4 chill hours · 49 in rainZone 11a · No frost · 4 chill hours · 1,245 mm rain

    Shares 22 of your 24 great-fit crops

    97%match
  17. 17

    🇦🇷Jardín AméricaMisiones, Argentina

    Zone 10b · No frost · 11 chill hours · 58 in rainZone 10b · No frost · 11 chill hours · 1,481 mm rain

    Shares 24 of your 24 great-fit crops

    97%match
  18. 18

    🇧🇷LondrinaParaná, Brazil

    Zone 11a · No frost · 3 chill hours · 59 in rainZone 11a · No frost · 3 chill hours · 1,500 mm rain

    Shares 23 of your 24 great-fit crops

    97%match
  19. 19

    🇧🇷MedianeiraParaná, Brazil

    Zone 10b · Frost 1 years in 10 · 60 chill hours · 72 in rainZone 10b · Frost 1 years in 10 · 60 chill hours · 1,825 mm rain

    Shares 20 of your 24 great-fit crops

    97%match
  20. 20

    🇧🇷Terra RicaParaná, Brazil

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,183 mm rain

    Shares 23 of your 24 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 Iporã, Brazil: 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.