Climatch

Land with a climate like Cruzeiro do Oeste

🇧🇷Cruzeiro do Oeste, Paraná, Brazil

The towns with the closest growing climate to Cruzeiro do Oeste are Ubiratã, Brazil (99% match), Marechal Cândido Rondon and Santa Helena. About 417,000 sq mi of land in 12 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 Cruzeiro do Oeste are Ubiratã, Brazil (99% match), Marechal Cândido Rondon and Santa Helena. About 1.1 million km² of land in 12 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 · 5 chill hours · 55 in rainZone 11a · No frost · 5 chill hours · 1,394 mm rain

What grows in Cruzeiro do Oeste →

Regions with the most land like yours

  1. 1

    🇧🇷Rio Grande do Sul, Brazil

    88k sq mi229k km² matching 80% or better

    For example Horizontina (95), Santa Rosa (95)

  2. 2

    🇧🇷Paraná, Brazil

    70k sq mi181k km² matching 80% or better

    For example Assis Chateaubriand (99), Palotina (99)

  3. 3

    🇧🇷São Paulo, Brazil

    41k sq mi107k km² matching 80% or better

    For example Fartura (96), Itaberá (96)

  4. 4

    🇦🇷Corrientes, Argentina

    32k sq mi84k km² matching 80% or better

    For example Gobernador Virasora (95), Santo Tomé (94)

  5. 5

    🇦🇷Misiones, Argentina

    15k sq mi39k km² matching 80% or better

    For example Colonia Wanda (98), Puerto Esperanza (98)

  6. 6

    🇦🇷Chaco, Argentina

    7,200 sq mi19k km² matching 80% or better

    For example Resistencia (87), Barranqueras (87)

  7. 7

    🇺🇸Florida, United States

    6,800 sq mi18k km² matching 80% or better

    For example DeLand (83), DeBary (80)

  8. 8

    🇵🇾Caaguazú Department, Paraguay

    6,500 sq mi17k km² matching 80% or better

    For example Doctor Juan Eulogio Estigarribia (93), Caaguazú (92)

  9. 9

    🇦🇺Queensland, Australia

    6,100 sq mi16k km² matching 80% or better

    For example Gold Coast (84), Sunshine Coast (82)

  10. 10

    🇵🇾Misiones Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example San Juan Bautista (90)

  11. 11

    🇿🇦KwaZulu-Natal, South Africa

    4,700 sq mi12k km² matching 80% or better

    For example Empangeni (90), eSikhaleni (89)

  12. 12

    🇵🇾Caazapá, Paraguay

    3,500 sq mi9,000 km² matching 80% or better

    For example Caazapá (90)

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

    🇧🇷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 23 great-fit crops

    99%match
  2. 2

    🇧🇷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 23 great-fit crops

    99%match
  3. 3

    🇧🇷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 23 great-fit crops

    99%match
  4. 4

    🇧🇷AltôniaParaná, Brazil

    Zone 11a · No frost · 3 chill hours · 55 in rainZone 11a · No frost · 3 chill hours · 1,404 mm rain

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

    99%match
  5. 5

    🇧🇷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 23 great-fit crops

    99%match
  6. 6

    🇧🇷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 23 great-fit crops

    99%match
  7. 7

    🇧🇷Campo MourãoParaná, Brazil

    Zone 11a · No frost · 11 chill hours · 60 in rainZone 11a · No frost · 11 chill hours · 1,518 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  8. 8

    🇧🇷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 23 great-fit crops

    99%match
  9. 9

    🇧🇷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 23 of your 23 great-fit crops · Also great there: mango

    99%match
  10. 10

    🇧🇷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 23 great-fit crops

    99%match
  11. 11

    🇧🇷GuaíraParaná, Brazil

    Zone 11a · No frost · 1 chill hours · 61 in rainZone 11a · No frost · 1 chill hours · 1,562 mm rain

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

    99%match
  12. 12

    🇧🇷CapanemaParaná, Brazil

    Zone 10b · Frost 1 years in 10 · 89 chill hours · 67 in rainZone 10b · Frost 1 years in 10 · 89 chill hours · 1,701 mm rain

    Shares 20 of your 23 great-fit crops

    98%match
  13. 13

    🇦🇷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 23 great-fit crops

    98%match
  14. 14

    🇧🇷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 23 great-fit crops

    98%match
  15. 15

    🇦🇷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 23 great-fit crops

    98%match
  16. 16

    🇧🇷Siqueira CamposParaná, Brazil

    Zone 11a · No frost · 10 chill hours · 47 in rainZone 11a · No frost · 10 chill hours · 1,194 mm rain

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

    98%match
  17. 17

    🇧🇷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 23 great-fit crops

    98%match
  18. 18

    🇧🇷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

    97%match
  19. 19

    🇧🇷ColoradoParaná, Brazil

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

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

    97%match
  20. 20

    🇧🇷LoandaParaná, Brazil

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

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

    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 Cruzeiro do Oeste: 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.