Climatch

Land with a climate like Cambé

🇧🇷Cambé, Paraná, Brazil

The towns with the closest growing climate to Cambé are Santo Antônio da Platina, Brazil (99% match), Siqueira Campos and Paranavaí. About 420,000 sq mi of land in 12 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Rio Grande do Sul, Brazil.The towns with the closest growing climate to Cambé are Santo Antônio da Platina, Brazil (99% match), Siqueira Campos and Paranavaí. About 1.1 million km² of land in 12 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Rio Grande do Sul, Brazil.

Your growing climate

Zone 11a · No frost · 4 chill hours · 58 in rainZone 11a · No frost · 4 chill hours · 1,463 mm rain

What grows in Cambé →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    69k sq mi178k km² matching 80% or better

    For example Santo Antônio da Platina (99), Siqueira Campos (99)

  2. 2

    🇧🇷São Paulo, Brazil

    65k sq mi168k km² matching 80% or better

    For example Fartura (99), Itaberá (99)

  3. 3

    🇧🇷Rio Grande do Sul, Brazil

    45k sq mi116k km² matching 80% or better

    For example Horizontina (89), Três de Maio (89)

  4. 4

    🇦🇷Corrientes, Argentina

    21k sq mi55k km² matching 80% or better

    For example Gobernador Virasora (88), Ituzaingó (87)

  5. 5

    🇦🇷Misiones, Argentina

    15k sq mi39k km² matching 80% or better

    For example Puerto Iguazú (94), Puerto Esperanza (93)

  6. 6

    🇿🇦KwaZulu-Natal, South Africa

    6,500 sq mi17k km² matching 80% or better

    For example Empangeni (88), Mandeni (86)

  7. 7

    🇵🇾Caaguazú Department, Paraguay

    5,900 sq mi15k km² matching 80% or better

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

  8. 8

    🇦🇷Chaco, Argentina

    5,900 sq mi15k km² matching 80% or better

    For example Resistencia (84), Barranqueras (83)

  9. 9

    🇵🇾Misiones Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example San Juan Bautista (84)

  10. 10

    🇵🇪Junin, Peru

    5,000 sq mi13k km² matching 80% or better

    For example Satipo (77), San Martín de Pangoa (77)

  11. 11

    🇵🇪San Martín Department, Peru

    3,900 sq mi10,000 km² matching 80% or better

    For example Rioja (71), Moyobamba (67)

  12. 12

    🇦🇺Queensland, Australia

    3,700 sq mi9,600 km² matching 80% or better

    For example Brisbane (81), Narangba (81)

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

    🇧🇷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

    99%match
  2. 2

    🇧🇷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

    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 23 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 23 great-fit crops

    99%match
  5. 5

    🇧🇷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 23 great-fit crops

    99%match
  6. 6

    🇧🇷ItaberáSão Paulo, Brazil

    Zone 10b · No frost · 23 chill hours · 47 in rainZone 10b · No frost · 23 chill hours · 1,188 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: wine grapes

    99%match
  7. 7

    🇧🇷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

    99%match
  8. 8

    🇧🇷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 23 great-fit crops

    99%match
  9. 9

    🇧🇷PirajuSão Paulo, 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

    99%match
  10. 10

    🇧🇷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
  11. 11

    🇧🇷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

    99%match
  12. 12

    🇧🇷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
  13. 13

    🇧🇷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

    98%match
  14. 14

    🇧🇷AssisSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 47 in rainZone 11a · No frost · 2 chill hours · 1,192 mm rain

    Shares 22 of your 23 great-fit crops

    98%match
  15. 15

    🇧🇷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

    98%match
  16. 16

    🇧🇷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

    98%match
  17. 17

    🇧🇷OurinhosSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 50 in rainZone 11a · No frost · 4 chill hours · 1,275 mm rain

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

    98%match
  18. 18

    🇧🇷Terra RicaParaná, Brazil

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

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

    98%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 22 of your 23 great-fit crops

    98%match
  20. 20

    🇧🇷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

    98%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 Cambé: 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.