Climatch

Land with a climate like Sengés

🇧🇷Sengés, Paraná, Brazil

The towns with the closest growing climate to Sengés are Ibaiti, Brazil (99% match), Fartura and Cornélio Procópio. About 404,000 sq mi of land in 11 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 Sengés are Ibaiti, Brazil (99% match), Fartura and Cornélio Procópio. About 1.0 million km² of land in 11 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Rio Grande do Sul, Brazil.

Your growing climate

Zone 10b · No frost · 32 chill hours · 47 in rainZone 10b · No frost · 32 chill hours · 1,202 mm rain

What grows in Sengés →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    74k sq mi191k km² matching 80% or better

    For example Ibaiti (99), Rolândia (99)

  2. 2

    🇧🇷São Paulo, Brazil

    60k sq mi156k km² matching 80% or better

    For example Buri (99), Itaí (99)

  3. 3

    🇧🇷Rio Grande do Sul, Brazil

    58k sq mi150k km² matching 80% or better

    For example Venâncio Aires (91), Lajeado (91)

  4. 4

    🇦🇷Corrientes, Argentina

    21k sq mi55k km² matching 80% or better

    For example Gobernador Virasora (84), Saladas (83)

  5. 5

    🇦🇷Misiones, Argentina

    15k sq mi39k km² matching 80% or better

    For example Eldorado (88), Puerto Esperanza (88)

  6. 6

    🇿🇦KwaZulu-Natal, South Africa

    9,600 sq mi25k km² matching 80% or better

    For example KwaDukuza (89), Mandeni (88)

  7. 7

    🇵🇾Caaguazú Department, Paraguay

    3,800 sq mi9,800 km² matching 80% or better

    For example Doctor Juan Eulogio Estigarribia (83), Caaguazú (82)

  8. 8

    🇦🇷Chaco, Argentina

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

    For example Resistencia (80), Barranqueras (79)

  9. 9

    🇨🇳Yunnan, China

    3,000 sq mi7,900 km² matching 80% or better

    For example Mengzi (79), Kaiyuan (76)

  10. 10

    🇵🇪Junin, Peru

    2,900 sq mi7,600 km² matching 80% or better

    For example San Martín de Pangoa (63), Satipo (63)

  11. 11

    🇦🇺Queensland, Australia

    2,900 sq mi7,600 km² matching 80% or better

    For example Capalaba (80), Brisbane (80)

  12. 12

    🇵🇾Caazapá, Paraguay

    2,400 sq mi6,200 km² matching 80% or better

    For example Caazapá (79)

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

    🇧🇷IbaitiParaná, Brazil

    Zone 10b · No frost · 56 chill hours · 52 in rainZone 10b · No frost · 56 chill hours · 1,319 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: tea

    99%match
  2. 2

    🇧🇷FarturaSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 51 in rainZone 11a · No frost · 4 chill hours · 1,303 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: banana, cassava, tea

    99%match
  3. 3

    🇧🇷Cornélio ProcópioParaná, Brazil

    Zone 11a · No frost · 4 chill hours · 49 in rainZone 11a · No frost · 4 chill hours · 1,245 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: cassava, banana

    99%match
  4. 4

    🇧🇷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 21 great-fit crops

    99%match
  5. 5

    🇧🇷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 20 of your 21 great-fit crops · Also great there: cassava, banana, tea

    99%match
  6. 6

    🇧🇷PirajuSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 49 in rainZone 11a · No frost · 4 chill hours · 1,245 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: cassava, banana

    99%match
  7. 7

    🇧🇷ItapetiningaSão Paulo, Brazil

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

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

    99%match
  8. 8

    🇧🇷AvaréSão Paulo, Brazil

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

    Shares 21 of your 21 great-fit crops · Also great there: banana, cassava

    99%match
  9. 9

    🇧🇷CianorteParaná, Brazil

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

    Shares 20 of your 21 great-fit crops · Also great there: tea, banana

    99%match
  10. 10

    🇧🇷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 21 great-fit crops · Also great there: tea

    98%match
  11. 11

    🇧🇷ParanavaíParaná, Brazil

    Zone 11a · No frost · 4 chill hours · 48 in rainZone 11a · No frost · 4 chill hours · 1,219 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: cassava, banana

    98%match
  12. 12

    🇧🇷FaxinalParaná, Brazil

    Zone 10b · No frost · 63 chill hours · 59 in rainZone 10b · No frost · 63 chill hours · 1,497 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: tea

    98%match
  13. 13

    🇧🇷Campo MourãoParaná, Brazil

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

    Shares 19 of your 21 great-fit crops · Also great there: tea, banana

    98%match
  14. 14

    🇧🇷IvaiporãParaná, Brazil

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

    Shares 19 of your 21 great-fit crops · Also great there: tea, banana

    98%match
  15. 15

    🇧🇷Telêmaco BorbaParaná, Brazil

    Zone 10b · No frost · 98 chill hours · 53 in rainZone 10b · No frost · 98 chill hours · 1,346 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: tea

    98%match
  16. 16

    🇧🇷AssisSão Paulo, Brazil

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

    Shares 20 of your 21 great-fit crops · Also great there: cassava, banana

    98%match
  17. 17

    🇧🇷BotucatuSão Paulo, Brazil

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

    Shares 20 of your 21 great-fit crops · Also great there: banana, tea

    97%match
  18. 18

    🇧🇷LondrinaParaná, Brazil

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

    Shares 19 of your 21 great-fit crops · Also great there: tea, banana, cassava

    97%match
  19. 19

    🇧🇷ToledoParaná, Brazil

    Zone 10b · No frost · 34 chill hours · 56 in rainZone 10b · No frost · 34 chill hours · 1,413 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: tea

    97%match
  20. 20

    🇧🇷MaríliaSão Paulo, Brazil

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

    Shares 20 of your 21 great-fit crops · Also great there: banana, cassava, 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 Sengés: 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.