Climatch

Land with a climate like Tapejara, Brazil

🇧🇷Tapejara, Paraná, Brazil

The towns with the closest growing climate to Tapejara, Brazil are Ubiratã, Brazil (99% match), Ivaiporã and Marechal Cândido Rondon. About 425,000 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 Tapejara, Brazil are Ubiratã, Brazil (99% match), Ivaiporã and Marechal Cândido Rondon. 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 · 10 chill hours · 54 in rainZone 11a · No frost · 10 chill hours · 1,366 mm rain

What grows in Tapejara, Brazil →

Regions with the most land like yours

  1. 1

    🇧🇷Rio Grande do Sul, Brazil

    93k sq mi242k km² matching 80% or better

    For example Horizontina (95), Três de Maio (94)

  2. 2

    🇧🇷Paraná, Brazil

    75k sq mi193k km² matching 80% or better

    For example Ubiratã (99), Ivaiporã (99)

  3. 3

    🇧🇷São Paulo, Brazil

    44k sq mi115k km² matching 80% or better

    For example Itaberá (98), Itararé (97)

  4. 4

    🇦🇷Corrientes, Argentina

    32k sq mi82k km² matching 80% or better

    For example Gobernador Virasora (93), Santo Tomé (92)

  5. 5

    🇦🇷Misiones, Argentina

    15k sq mi39k km² matching 80% or better

    For example Eldorado (97), Puerto Esperanza (97)

  6. 6

    🇦🇺Queensland, Australia

    7,200 sq mi19k km² matching 80% or better

    For example Gold Coast (84), Capalaba (84)

  7. 7

    🇿🇦KwaZulu-Natal, South Africa

    6,300 sq mi16k km² matching 80% or better

    For example Empangeni (89), eSikhaleni (88)

  8. 8

    🇦🇺New South Wales, Australia

    5,900 sq mi15k km² matching 80% or better

    For example Port Macquarie (83), Coffs Harbour (82)

  9. 9

    🇵🇾Caaguazú Department, Paraguay

    5,700 sq mi15k km² matching 80% or better

    For example Doctor Juan Eulogio Estigarribia (91), Caaguazú (90)

  10. 10

    🇵🇾Misiones Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example San Juan Bautista (87)

  11. 11

    🇦🇷Chaco, Argentina

    5,100 sq mi13k km² matching 80% or better

    For example Resistencia (85), Barranqueras (84)

  12. 12

    🇵🇾Caazapá, Paraguay

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

    For example Caazapá (87)

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

    🇧🇷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
  3. 3

    🇧🇷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
  4. 4

    🇧🇷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
  5. 5

    🇧🇷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
  6. 6

    🇧🇷Terra RoxaParaná, Brazil

    Zone 11a · No frost · 6 chill hours · 60 in rainZone 11a · No frost · 6 chill hours · 1,536 mm rain

    Shares 22 of your 23 great-fit crops

    99%match
  7. 7

    🇧🇷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
  8. 8

    🇧🇷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
  9. 9

    🇧🇷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
  10. 10

    🇧🇷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

    99%match
  11. 11

    🇧🇷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
  12. 12

    🇧🇷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
  13. 13

    🇧🇷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
  14. 14

    🇧🇷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
  15. 15

    🇧🇷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
  16. 16

    🇧🇷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

    98%match
  17. 17

    🇧🇷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

    98%match
  18. 18

    🇧🇷CorbéliaParaná, Brazil

    Zone 10b · No frost · 77 chill hours · 68 in rainZone 10b · No frost · 77 chill hours · 1,738 mm rain

    Shares 19 of your 23 great-fit crops

    98%match
  19. 19

    🇧🇷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
  20. 20

    🇧🇷ItararéSão Paulo, Brazil

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

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

    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 Tapejara, 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.