Climatch

Land with a climate like Siqueira Campos

🇧🇷Siqueira Campos, Paraná, Brazil

The towns with the closest growing climate to Siqueira Campos are Cornélio Procópio, Brazil (99% match), Assis and Paranavaí. About 462,000 sq mi of land in 13 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 Siqueira Campos are Cornélio Procópio, Brazil (99% match), Assis and Paranavaí. About 1.2 million km² of land in 13 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 · 10 chill hours · 47 in rainZone 11a · No frost · 10 chill hours · 1,194 mm rain

What grows in Siqueira Campos →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    71k sq mi184k km² matching 80% or better

    For example Cornélio Procópio (99), Cambé (99)

  2. 2

    🇧🇷São Paulo, Brazil

    66k sq mi172k km² matching 80% or better

    For example Itaí (99), Buri (99)

  3. 3

    🇧🇷Rio Grande do Sul, Brazil

    47k sq mi122k km² matching 80% or better

    For example Venâncio Aires (90), Lajeado (90)

  4. 4

    🇦🇷Corrientes, Argentina

    28k sq mi73k km² matching 80% or better

    For example Saladas (85), Gobernador Virasora (85)

  5. 5

    🇦🇷Misiones, Argentina

    15k sq mi39k km² matching 80% or better

    For example Eldorado (90), Puerto Esperanza (90)

  6. 6

    🇿🇦KwaZulu-Natal, South Africa

    11k sq mi29k km² matching 80% or better

    For example Empangeni (89), Mandeni (89)

  7. 7

    🇦🇷Chaco, Argentina

    8,300 sq mi21k km² matching 80% or better

    For example Resistencia (84), Barranqueras (83)

  8. 8

    🇨🇳Yunnan, China

    5,300 sq mi14k km² matching 80% or better

    For example Mengzi (78), Mengman (78)

  9. 9

    🇵🇾Caaguazú Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example Doctor Juan Eulogio Estigarribia (86), Caaguazú (86)

  10. 10

    🇵🇾Misiones Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example San Juan Bautista (81)

  11. 11

    🇦🇺Queensland, Australia

    4,800 sq mi12k km² matching 80% or better

    For example Brisbane (83), Capalaba (82)

  12. 12

    🇵🇾Caazapá, Paraguay

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

    For example Caazapá (83)

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

    🇧🇷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

    99%match
  2. 2

    🇧🇷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

    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

    🇧🇷AvaréSão Paulo, Brazil

    Zone 11a · No frost · 8 chill hours · 49 in rainZone 11a · No frost · 8 chill hours · 1,233 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  5. 5

    🇧🇷LondrinaParaná, Brazil

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

    Shares 21 of your 23 great-fit crops · Also great there: tea, mango

    99%match
  6. 6

    🇧🇷CianorteParaná, Brazil

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

    Shares 21 of your 23 great-fit crops · Also great there: tea

    99%match
  7. 7

    🇧🇷Santa Cruz do Rio PardoSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 53 in rainZone 11a · No frost · 4 chill hours · 1,358 mm rain

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

    99%match
  8. 8

    🇧🇷ItapevaSão Paulo, Brazil

    Zone 10b · No frost · 59 chill hours · 48 in rainZone 10b · No frost · 59 chill hours · 1,223 mm rain

    Shares 20 of your 23 great-fit crops

    99%match
  9. 9

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

    98%match
  11. 11

    🇧🇷MaríliaSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 50 in rainZone 11a · No frost · 4 chill hours · 1,273 mm rain

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

    98%match
  12. 12

    🇧🇷ItapetiningaSão Paulo, Brazil

    Zone 11a · No frost · 12 chill hours · 46 in rainZone 11a · No frost · 12 chill hours · 1,172 mm rain

    Shares 22 of your 23 great-fit crops

    98%match
  13. 13

    🇧🇷IvaiporãParaná, Brazil

    Zone 10b · No frost · 21 chill hours · 61 in rainZone 10b · No frost · 21 chill hours · 1,543 mm rain

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

    98%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 22 of your 23 great-fit crops · Also great there: tea

    97%match
  15. 15

    🇧🇷Campo MourãoParaná, Brazil

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

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

    97%match
  16. 16

    🇧🇷UmuaramaParaná, Brazil

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

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

    97%match
  17. 17

    🇧🇷Capão BonitoSão Paulo, Brazil

    Zone 10b · No frost · 40 chill hours · 49 in rainZone 10b · No frost · 40 chill hours · 1,246 mm rain

    Shares 20 of your 23 great-fit crops

    97%match
  18. 18

    🇧🇷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
  19. 19

    🇧🇷ApucaranaParaná, Brazil

    Zone 10b · No frost · 61 chill hours · 57 in rainZone 10b · No frost · 61 chill hours · 1,459 mm rain

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

    97%match
  20. 20

    🇧🇷BotucatuSão Paulo, Brazil

    Zone 11a · No frost · 13 chill hours · 51 in rainZone 11a · No frost · 13 chill hours · 1,306 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: tea

    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 Siqueira Campos: 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.