Climatch

Land with a climate like Piraju

🇧🇷Piraju, São Paulo, Brazil

The towns with the closest growing climate to Piraju are Assis, Brazil (99% match), Marília and Cornélio Procópio. About 517,000 sq mi of land in 15 countries matches 80% or better, most of it in São Paulo, Brazil, Minas Gerais, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Piraju are Assis, Brazil (99% match), Marília and Cornélio Procópio. About 1.3 million km² of land in 15 countries matches 80% or better, most of it in São Paulo, Brazil, Minas Gerais, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

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

What grows in Piraju →

Regions with the most land like yours

  1. 1

    🇧🇷São Paulo, Brazil

    81k sq mi209k km² matching 80% or better

    For example Assis (99), Palmital (99)

  2. 2

    🇧🇷Minas Gerais, Brazil

    80k sq mi207k km² matching 80% or better

    For example Pouso Alegre (97), Borda da Mata (97)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    67k sq mi175k km² matching 80% or better

    For example Nova Andradina (94), Naviraí (94)

  4. 4

    🇦🇷Corrientes, Argentina

    15k sq mi38k km² matching 80% or better

    For example Saladas (83), San Lorenzo (83)

  5. 5

    🇦🇷Chaco, Argentina

    14k sq mi37k km² matching 80% or better

    For example Resistencia (84), Fontana (83)

  6. 6

    🇨🇳Yunnan, China

    12k sq mi32k km² matching 80% or better

    For example Mengman (84), Pu'er (80)

  7. 7

    🇦🇷Misiones, Argentina

    11k sq mi30k km² matching 80% or better

    For example Puerto Iguazú (85), Eldorado (84)

  8. 8

    🇿🇦KwaZulu-Natal, South Africa

    11k sq mi29k km² matching 80% or better

    For example Mandeni (90), Empangeni (90)

  9. 9

    🇵🇾Caaguazú Department, Paraguay

    5,400 sq mi14k km² matching 80% or better

    For example Caaguazú (84), Doctor Juan Eulogio Estigarribia (84)

  10. 10

    🇵🇪Junin, Peru

    5,300 sq mi14k km² matching 80% or better

    For example San Martín de Pangoa (79), Satipo (78)

  11. 11

    🇻🇳Điện Biên Province, Vietnam

    5,300 sq mi14k km² matching 80% or better

    For example Mường Lay (67), Dien Bien Phu (60)

  12. 12

    🇵🇾Misiones Department, Paraguay

    5,100 sq mi13k km² matching 80% or better

    For example San Juan Bautista (80)

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

    🇧🇷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 22 great-fit crops

    99%match
  2. 2

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

    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 22 of your 22 great-fit crops

    99%match
  4. 4

    🇧🇷AndiráParaná, Brazil

    Zone 11a · No frost · 4 chill hours · 45 in rainZone 11a · No frost · 4 chill hours · 1,132 mm rain

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

    99%match
  5. 5

    🇧🇷AngatubaSão Paulo, Brazil

    Zone 11a · No frost · 5 chill hours · 47 in rainZone 11a · No frost · 5 chill hours · 1,187 mm rain

    Shares 22 of your 22 great-fit crops · Also great there: wine grapes

    99%match
  6. 6

    🇧🇷TupãSão Paulo, Brazil

    Zone 11a · No frost · 1 chill hours · 50 in rainZone 11a · No frost · 1 chill hours · 1,267 mm rain

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

    99%match
  7. 7

    🇧🇷Lençóis PaulistaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,185 mm rain

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

    99%match
  8. 8

    🇧🇷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 22 great-fit crops · Also great there: wine grapes

    99%match
  9. 9

    🇧🇷Wenceslau BrazParaná, Brazil

    Zone 10b · No frost · 18 chill hours · 46 in rainZone 10b · No frost · 18 chill hours · 1,173 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: wine grapes

    99%match
  10. 10

    🇧🇷SengésParaná, Brazil

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

    Shares 20 of your 22 great-fit crops · Also great there: wine grapes

    99%match
  11. 11

    🇧🇷JaúSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,243 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: mango

    99%match
  12. 12

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

    99%match
  13. 13

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

    99%match
  14. 14

    🇧🇷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 22 great-fit crops · Also great there: tea, mango

    99%match
  15. 15

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

    99%match
  16. 16

    🇧🇷PirajuíSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,170 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: mango

    99%match
  17. 17

    🇧🇷RanchariaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,256 mm rain

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

    99%match
  18. 18

    🇧🇷LinsSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,224 mm rain

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

    99%match
  19. 19

    🇧🇷CampinasSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,256 mm rain

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

    98%match
  20. 20

    🇧🇷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 22 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 Piraju: 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.