Climatch

Land with a climate like Itapeva

🇧🇷Itapeva, São Paulo, Brazil

The towns with the closest growing climate to Itapeva are Ibaiti, Brazil (99% match), Itapetininga and Telêmaco Borba. About 304,000 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 Itapeva are Ibaiti, Brazil (99% match), Itapetininga and Telêmaco Borba. About 788,000 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 · 59 chill hours · 48 in rainZone 10b · No frost · 59 chill hours · 1,223 mm rain

What grows in Itapeva →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    77k sq mi200k km² matching 80% or better

    For example Ibaiti (99), Arapoti (99)

  2. 2

    🇧🇷Rio Grande do Sul, Brazil

    61k sq mi159k km² matching 80% or better

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

  3. 3

    🇧🇷São Paulo, Brazil

    47k sq mi122k km² matching 80% or better

    For example São Miguel Arcanjo (99), Itapetininga (99)

  4. 4

    🇦🇷Misiones, Argentina

    9,100 sq mi24k km² matching 80% or better

    For example San Vicente (87), San Pedro (87)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    5,000 sq mi13k km² matching 80% or better

    For example KwaDukuza (85), Eshowe (84)

  6. 6

    🇵🇪Amazonas, Peru

    2,100 sq mi5,400 km² matching 80% or better

    For example Chachapoyas (66), La Peca (64)

  7. 7

    🇨🇳Yunnan, China

    1,900 sq mi5,000 km² matching 80% or better

    For example Wenshan City (80), Kaihua (80)

  8. 8

    🇵🇪San Martín Department, Peru

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

  9. 9

    🇵🇪Cajamarca Department, Peru

    1,500 sq mi3,900 km² matching 80% or better

    For example Jaén (65)

  10. 10

    🇲🇽Veracruz, Mexico

    1,100 sq mi2,900 km² matching 80% or better

    For example Banderilla (86), Xalapa de Enríquez (86)

  11. 11

    🇵🇾Alto Paraná Department, Paraguay

    800 sq mi2,100 km² matching 80% or better

    For example Ciudad del Este (78), Presidente Franco (77)

  12. 12

    🇪🇨Zamora Chinchipe, Ecuador

    600 sq mi1,500 km² matching 80% or better

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 20 great-fit crops · Also great there: tea

    99%match
  2. 2

    🇧🇷ItapetiningaSão Paulo, Brazil

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

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

    99%match
  4. 4

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

    99%match
  5. 5

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

    99%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 20 great-fit crops · Also great there: tea

    99%match
  7. 7

    🇧🇷Siqueira CamposParaná, Brazil

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

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

    99%match
  8. 8

    🇧🇷Nova EsperançaParaná, Brazil

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

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

    98%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 19 of your 20 great-fit crops · Also great there: tea, sugarcane, banana

    98%match
  10. 10

    🇧🇷Ponta GrossaParaná, Brazil

    Zone 10b · Frost 1 years in 10 · 136 chill hours · 57 in rainZone 10b · Frost 1 years in 10 · 136 chill hours · 1,454 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: tea, apple, peach

    98%match
  11. 11

    🇧🇷Campo MourãoParaná, Brazil

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

    Shares 18 of your 20 great-fit crops · Also great there: tea, banana, sugarcane

    97%match
  12. 12

    🇧🇷ItaquaquecetubaSão Paulo, Brazil

    Zone 11a · No frost · 7 chill hours · 55 in rainZone 11a · No frost · 7 chill hours · 1,402 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: tea, banana

    97%match
  13. 13

    🇧🇷CuritibaParaná, Brazil

    Zone 10b · No frost · 68 chill hours · 62 in rainZone 10b · No frost · 68 chill hours · 1,575 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: tea, peach, apple

    97%match
  14. 14

    🇧🇷São PauloBrazil

    Zone 11a · No frost · 1 chill hours · 54 in rainZone 11a · No frost · 1 chill hours · 1,380 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: tea, banana

    97%match
  15. 15

    🇧🇷IvaiporãParaná, Brazil

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

    Shares 18 of your 20 great-fit crops · Also great there: tea, banana, sugarcane

    97%match
  16. 16

    🇧🇷SorocabaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 47 in rainZone 11a · No frost · 2 chill hours · 1,196 mm rain

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

    97%match
  17. 17

    🇧🇷PrudentópolisParaná, Brazil

    Zone 10b · No frost · 82 chill hours · 60 in rainZone 10b · No frost · 82 chill hours · 1,515 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: tea, peach, apple

    96%match
  18. 18

    🇧🇷Mogi das CruzesSão Paulo, Brazil

    Zone 11a · No frost · 14 chill hours · 59 in rainZone 11a · No frost · 14 chill hours · 1,499 mm rain

    Shares 18 of your 20 great-fit crops · Also great there: tea

    96%match
  19. 19

    🇧🇷ReservaParaná, Brazil

    Zone 10b · Frost 1 years in 10 · 161 chill hours · 58 in rainZone 10b · Frost 1 years in 10 · 161 chill hours · 1,482 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: tea, apple, peach

    96%match
  20. 20

    🇧🇷AvaréSão Paulo, Brazil

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

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

    96%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 Itapeva: 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.