Climatch

Land with a climate like Ribeirão Branco

🇧🇷Ribeirão Branco, São Paulo, Brazil

The towns with the closest growing climate to Ribeirão Branco are Ponta Grossa, Brazil (99% match), Jaguariaíva and Palmeira. About 245,000 sq mi of land in 10 countries matches 80% or better, most of it in Paraná, Brazil, Rio Grande do Sul, Brazil and Santa Catarina, Brazil.The towns with the closest growing climate to Ribeirão Branco are Ponta Grossa, Brazil (99% match), Jaguariaíva and Palmeira. About 634,000 km² of land in 10 countries matches 80% or better, most of it in Paraná, Brazil, Rio Grande do Sul, Brazil and Santa Catarina, Brazil.

Your growing climate

Zone 10b · Frost 1 years in 10 · 127 chill hours · 53 in rainZone 10b · Frost 1 years in 10 · 127 chill hours · 1,334 mm rain

What grows in Ribeirão Branco →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    66k sq mi171k km² matching 80% or better

    For example Araucária (99), Ponta Grossa (99)

  2. 2

    🇧🇷Rio Grande do Sul, Brazil

    62k sq mi162k km² matching 80% or better

    For example Sananduva (91), Guaporé (90)

  3. 3

    🇧🇷Santa Catarina, Brazil

    39k sq mi101k km² matching 80% or better

    For example Mafra (97), Três Barras (97)

  4. 4

    🇨🇳Yunnan, China

    4,100 sq mi11k km² matching 80% or better

    For example Wenshan City (83), Kaihua (83)

  5. 5

    🇦🇷Misiones, Argentina

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

    For example San Vicente (88), San Pedro (88)

  6. 6

    🇵🇪San Martín Department, Peru

    1,500 sq mi3,800 km² matching 80% or better

  7. 7

    🇵🇪Puno, Peru

    1,200 sq mi3,000 km² matching 80% or better

  8. 8

    🇺🇾Cerro Largo, Uruguay

    1,000 sq mi2,600 km² matching 80% or better

    For example Melo (79)

  9. 9

    🇵🇪Cajamarca Department, Peru

    900 sq mi2,300 km² matching 80% or better

  10. 10

    🇻🇳Lai Châu Province, Vietnam

    800 sq mi2,100 km² matching 80% or better

    For example Lai Châu (68)

  11. 11

    🇪🇨Zamora Chinchipe, Ecuador

    600 sq mi1,500 km² matching 80% or better

  12. 12

    🇨🇳Fujian, China

    500 sq mi1,400 km² matching 80% or better

    For example Liancheng (65), Wenheng (65)

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

    🇧🇷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 23 of your 23 great-fit crops

    99%match
  2. 2

    🇧🇷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 19 of your 23 great-fit crops

    99%match
  3. 3

    🇧🇷PalmeiraParaná, Brazil

    Zone 10b · Frost 1 years in 10 · 161 chill hours · 58 in rainZone 10b · Frost 1 years in 10 · 161 chill hours · 1,470 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  4. 4

    🇧🇷Rio Branco do SulParaná, Brazil

    Zone 10b · No frost · 95 chill hours · 67 in rainZone 10b · No frost · 95 chill hours · 1,694 mm rain

    Shares 22 of your 23 great-fit crops

    99%match
  5. 5

    🇧🇷CuritibaParaná, Brazil

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

    Shares 21 of your 23 great-fit crops

    99%match
  6. 6

    🇧🇷Telêmaco BorbaParaná, Brazil

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

    Shares 20 of your 23 great-fit crops

    99%match
  7. 7

    🇧🇷IratiParaná, Brazil

    Zone 10b · Frost 1 years in 10 · 154 chill hours · 58 in rainZone 10b · Frost 1 years in 10 · 154 chill hours · 1,466 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  8. 8

    🇧🇷São Miguel ArcanjoSão Paulo, Brazil

    Zone 10b · No frost · 24 chill hours · 48 in rainZone 10b · No frost · 24 chill hours · 1,221 mm rain

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

    99%match
  9. 9

    🇧🇷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 21 of your 23 great-fit crops

    99%match
  10. 10

    🇧🇷IbaitiParaná, Brazil

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

    Shares 20 of your 23 great-fit crops

    99%match
  11. 11

    🇧🇷PrudentópolisParaná, Brazil

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

    Shares 21 of your 23 great-fit crops

    99%match
  12. 12

    🇧🇷ApucaranaParaná, Brazil

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

    Shares 20 of your 23 great-fit crops

    98%match
  13. 13

    🇧🇷FaxinalParaná, Brazil

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

    Shares 20 of your 23 great-fit crops

    98%match
  14. 14

    🇧🇷MafraSanta Catarina, Brazil

    Zone 10a · Frost 2 years in 10 · 221 chill hours · 55 in rainZone 10a · Frost 2 years in 10 · 221 chill hours · 1,403 mm rain

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

    97%match
  15. 15

    🇧🇷São Bernardo do CampoSão Paulo, Brazil

    Zone 11a · No frost · 8 chill hours · 60 in rainZone 11a · No frost · 8 chill hours · 1,527 mm rain

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

    97%match
  16. 16

    🇧🇷PitangaParaná, Brazil

    Zone 10b · No frost · 118 chill hours · 67 in rainZone 10b · No frost · 118 chill hours · 1,692 mm rain

    Shares 22 of your 23 great-fit crops

    97%match
  17. 17

    🇧🇷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 19 of your 23 great-fit crops

    97%match
  18. 18

    🇧🇷ParaibunaSão Paulo, Brazil

    Zone 11a · No frost · 15 chill hours · 53 in rainZone 11a · No frost · 15 chill hours · 1,340 mm rain

    Shares 20 of your 23 great-fit crops

    96%match
  19. 19

    🇧🇷CanoinhasSanta Catarina, Brazil

    Zone 10a · Frost 3 years in 10 · 266 chill hours · 59 in rainZone 10a · Frost 3 years in 10 · 266 chill hours · 1,497 mm rain

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

    96%match
  20. 20

    🇧🇷Tijucas do SulParaná, Brazil

    Zone 10a · Frost 1 years in 10 · 182 chill hours · 62 in rainZone 10a · Frost 1 years in 10 · 182 chill hours · 1,569 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: pecan, cherry

    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 Ribeirão Branco: 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.