Climatch

Land with a climate like Itaquiraí

🇧🇷Itaquiraí, Mato Grosso do Sul, Brazil

The towns with the closest growing climate to Itaquiraí are Iporã, Brazil (99% match), Caarapó and Amambai. About 452,000 sq mi of land in 13 countries matches 80% or better, most of it in Paraná, Brazil, Mato Grosso do Sul, Brazil and Rio Grande do Sul, Brazil.The towns with the closest growing climate to Itaquiraí are Iporã, Brazil (99% match), Caarapó and Amambai. About 1.2 million km² of land in 13 countries matches 80% or better, most of it in Paraná, Brazil, Mato Grosso do Sul, Brazil and Rio Grande do Sul, Brazil.

Your growing climate

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

What grows in Itaquiraí →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    53k sq mi138k km² matching 80% or better

    For example Terra Roxa (99), Iporã (99)

  2. 2

    🇧🇷Mato Grosso do Sul, Brazil

    51k sq mi132k km² matching 80% or better

    For example Caarapó (99), Amambai (99)

  3. 3

    🇧🇷Rio Grande do Sul, Brazil

    50k sq mi130k km² matching 80% or better

    For example São Borja (93), Santo Cristo (93)

  4. 4

    🇦🇷Corrientes, Argentina

    30k sq mi79k km² matching 80% or better

    For example Ituzaingó (97), Gobernador Virasora (95)

  5. 5

    🇺🇸Florida, United States

    29k sq mi74k km² matching 80% or better

    For example DeLand (86), Titusville (86)

  6. 6

    🇦🇷Misiones, Argentina

    15k sq mi39k km² matching 80% or better

    For example Puerto Iguazú (99), Puerto Esperanza (98)

  7. 7

    🇦🇷Chaco, Argentina

    11k sq mi30k km² matching 80% or better

    For example Resistencia (91), Barranqueras (90)

  8. 8

    🇦🇺Queensland, Australia

    9,100 sq mi24k km² matching 80% or better

    For example Gold Coast (87), Sunshine Coast (86)

  9. 9

    🇵🇾Concepción, Paraguay

    9,100 sq mi23k km² matching 80% or better

    For example Yby Yaú (94), Concepción (80)

  10. 10

    🇿🇦KwaZulu-Natal, South Africa

    7,300 sq mi19k km² matching 80% or better

    For example Empangeni (94), eSikhaleni (93)

  11. 11

    🇵🇾Caaguazú Department, Paraguay

    6,800 sq mi18k km² matching 80% or better

    For example Doctor Juan Eulogio Estigarribia (98), Caaguazú (98)

  12. 12

    🇵🇾Misiones Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example San Juan Bautista (96)

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

    🇧🇷IporãParaná, Brazil

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

    Shares 24 of your 24 great-fit crops

    99%match
  2. 2

    🇧🇷CaarapóMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,463 mm rain

    Shares 24 of your 24 great-fit crops

    99%match
  3. 3

    🇧🇷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

    99%match
  4. 4

    🇧🇷UmuaramaParaná, Brazil

    Zone 11a · No frost · 4 chill hours · 58 in rainZone 11a · No frost · 4 chill hours · 1,461 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  5. 5

    🇧🇷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
  6. 6

    🇧🇷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

    99%match
  7. 7

    🇧🇷Assis ChateaubriandParaná, Brazil

    Zone 10b · No frost · 13 chill hours · 60 in rainZone 10b · No frost · 13 chill hours · 1,526 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  8. 8

    🇵🇾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
  9. 9

    🇧🇷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
  10. 10

    🇧🇷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

    99%match
  11. 11

    🇧🇷Marechal Cândido RondonParaná, Brazil

    Zone 10b · No frost · 17 chill hours · 63 in rainZone 10b · No frost · 17 chill hours · 1,610 mm rain

    Shares 22 of your 24 great-fit crops

    99%match
  12. 12

    🇧🇷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

    99%match
  13. 13

    🇧🇷Ponta PorãMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 61 in rainZone 11a · No frost · 0 chill hours · 1,546 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  14. 14

    🇧🇷GoioerêParaná, Brazil

    Zone 11a · No frost · 4 chill hours · 58 in rainZone 11a · No frost · 4 chill hours · 1,485 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  15. 15

    🇧🇷DouradosMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 56 in rainZone 11a · No frost · 0 chill hours · 1,423 mm rain

    Shares 24 of your 24 great-fit crops

    98%match
  16. 16

    🇵🇾CaaguazúCaaguazú Department, Paraguay

    Zone 11a · No frost · 3 chill hours · 61 in rainZone 11a · No frost · 3 chill hours · 1,538 mm rain

    Shares 23 of your 24 great-fit crops

    98%match
  17. 17

    🇦🇷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

    98%match
  18. 18

    🇧🇷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
  19. 19

    🇦🇷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
  20. 20

    🇧🇷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

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 Itaquiraí: 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.