Climatch

Land with a climate like Nova Esperança

🇧🇷Nova Esperança, Paraná, Brazil

The towns with the closest growing climate to Nova Esperança are Apucarana, Brazil (99% match), Campo Mourão and Telêmaco Borba. About 325,000 sq mi of land in 12 countries matches 80% or better, most of it in Paraná, Brazil, Rio Grande do Sul, Brazil and São Paulo, Brazil.The towns with the closest growing climate to Nova Esperança are Apucarana, Brazil (99% match), Campo Mourão and Telêmaco Borba. About 842,000 km² of land in 12 countries matches 80% or better, most of it in Paraná, Brazil, Rio Grande do Sul, Brazil and São Paulo, Brazil.

Your growing climate

Zone 10b · No frost · 28 chill hours · 49 in rainZone 10b · No frost · 28 chill hours · 1,235 mm rain

What grows in Nova Esperança →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    77k sq mi199k km² matching 80% or better

    For example Arapongas (99), Rolândia (99)

  2. 2

    🇧🇷Rio Grande do Sul, Brazil

    66k sq mi170k km² matching 80% or better

    For example Teutônia (90), Encantado (90)

  3. 3

    🇧🇷São Paulo, Brazil

    45k sq mi116k km² matching 80% or better

    For example Itapeva (98), Itararé (98)

  4. 4

    🇦🇷Misiones, Argentina

    14k sq mi37k km² matching 80% or better

    For example Eldorado (91), San Vicente (90)

  5. 5

    🇦🇷Corrientes, Argentina

    12k sq mi32k km² matching 80% or better

    For example Gobernador Virasora (84), Santo Tomé (84)

  6. 6

    🇿🇦KwaZulu-Natal, South Africa

    6,000 sq mi16k km² matching 80% or better

    For example KwaDukuza (87), eSikhaleni (87)

  7. 7

    🇲🇬Alaotra Mangoro, Madagascar

    3,100 sq mi8,100 km² matching 80% or better

    For example Moramanga (83), Didy (76)

  8. 8

    🇵🇾Caaguazú Department, Paraguay

    2,200 sq mi5,600 km² matching 80% or better

    For example Doctor Juan Eulogio Estigarribia (79), Caaguazú (77)

  9. 9

    🇦🇺Queensland, Australia

    2,100 sq mi5,500 km² matching 80% or better

    For example Capalaba (79), Maryborough (75)

  10. 10

    🇵🇾Alto Paraná Department, Paraguay

    1,900 sq mi4,900 km² matching 80% or better

    For example Ciudad del Este (84), Presidente Franco (83)

  11. 11

    🇵🇪San Martín Department, Peru

    1,800 sq mi4,600 km² matching 80% or better

    For example Rioja (57), Moyobamba (55)

  12. 12

    🇲🇬Atsinanana, Madagascar

    1,700 sq mi4,400 km² matching 80% or better

    For example Marolambo (66), Vohibinany (61)

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

    🇧🇷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

    99%match
  2. 2

    🇧🇷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

    99%match
  3. 3

    🇧🇷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

    99%match
  4. 4

    🇧🇷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
  5. 5

    🇧🇷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 21 great-fit crops

    98%match
  6. 6

    🇧🇷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
  7. 7

    🇧🇷ItararéSão Paulo, Brazil

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

    Shares 20 of your 21 great-fit crops

    98%match
  8. 8

    🇧🇷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

    97%match
  9. 9

    🇧🇷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

    97%match
  10. 10

    🇧🇷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
  11. 11

    🇧🇷Siqueira CamposParaná, Brazil

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

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

    97%match
  12. 12

    🇧🇷UbiratãParaná, Brazil

    Zone 10b · No frost · 15 chill hours · 64 in rainZone 10b · No frost · 15 chill hours · 1,618 mm rain

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

    96%match
  13. 13

    🇧🇷GoioerêParaná, Brazil

    Zone 11a · No frost · 4 chill hours · 58 in rainZone 11a · No frost · 4 chill hours · 1,485 mm rain

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

    96%match
  14. 14

    🇧🇷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

    95%match
  15. 15

    🇧🇷UmuaramaParaná, Brazil

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

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

    95%match
  16. 16

    🇧🇷JaguariaívaParaná, Brazil

    Zone 10a · Frost 1 years in 10 · 164 chill hours · 53 in rainZone 10a · Frost 1 years in 10 · 164 chill hours · 1,344 mm rain

    Shares 18 of your 21 great-fit crops · Also great there: tea

    95%match
  17. 17

    🇧🇷CorbéliaParaná, Brazil

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

    Shares 18 of your 21 great-fit crops · Also great there: tea

    95%match
  18. 18

    🇧🇷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

    95%match
  19. 19

    🇧🇷Vargem AltaEspírito Santo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,180 mm rain

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

    94%match
  20. 20

    🇧🇷PalotinaParaná, Brazil

    Zone 11a · No frost · 8 chill hours · 58 in rainZone 11a · No frost · 8 chill hours · 1,478 mm rain

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

    94%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 Nova Esperança: 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.