Climatch

Land with a climate like Pereira Barreto

🇧🇷Pereira Barreto, São Paulo, Brazil

The towns with the closest growing climate to Pereira Barreto are Araçatuba, Brazil (99% match), Votuporanga and Dracena. About 835,000 sq mi of land in 22 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Minas Gerais, Brazil and Mato Grosso, Brazil.The towns with the closest growing climate to Pereira Barreto are Araçatuba, Brazil (99% match), Votuporanga and Dracena. About 2.2 million km² of land in 22 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Minas Gerais, Brazil and Mato Grosso, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 46 in rainZone 11b · No frost · 0 chill hours · 1,178 mm rain

What grows in Pereira Barreto →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    101k sq mi261k km² matching 80% or better

    For example Paranaíba (99), Bataguassu (99)

  2. 2

    🇧🇷Minas Gerais, Brazil

    95k sq mi245k km² matching 80% or better

    For example Iturama (98), Conceição das Alagoas (96)

  3. 3

    🇧🇷Mato Grosso, Brazil

    72k sq mi186k km² matching 80% or better

    For example Pedra Preta (92), Chapada dos Guimarães (92)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    29k sq mi75k km² matching 80% or better

    For example El Torno (96), San Ignacio de Velasco (94)

  5. 5

    🇲🇿Zambezia Province, Mozambique

    13k sq mi33k km² matching 80% or better

    For example Alto Molocue (82), Morrumbala (81)

  6. 6

    🇵🇾Concepción, Paraguay

    11k sq mi28k km² matching 80% or better

    For example Yby Yaú (84), Concepción (84)

  7. 7

    🇲🇿Sofala, Mozambique

    10k sq mi27k km² matching 80% or better

    For example Gorongosa (87), Dondo (83)

  8. 8

    🇲🇲Shan State, Myanmar

    10k sq mi27k km² matching 80% or better

    For example Möng Yawng (92), Möng La (89)

  9. 9

    🇲🇿Inhambane Province, Mozambique

    7,400 sq mi19k km² matching 80% or better

    For example Massinga (82), Inhambane (79)

  10. 10

    🇨🇳Yunnan, China

    6,100 sq mi16k km² matching 80% or better

    For example Mengla (92), Yunjinghong (92)

  11. 11

    🇻🇳Điện Biên Province, Vietnam

    5,600 sq mi14k km² matching 80% or better

    For example Dien Bien Phu (84), Mường Lay (84)

  12. 12

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (90)

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

    🇧🇷AraçatubaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,213 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  2. 2

    🇧🇷VotuporangaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,232 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  3. 3

    🇧🇷DracenaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,201 mm rain

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

    99%match
  4. 4

    🇧🇷AdamantinaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,160 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  5. 5

    🇧🇷Novo HorizonteSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,209 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  6. 6

    🇧🇷PenápolisSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,219 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  7. 7

    🇧🇷IbitingaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,198 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  8. 8

    🇧🇷ParanaíbaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,396 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  9. 9

    🇧🇷CatanduvaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,280 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  10. 10

    🇧🇷São José do Rio PretoSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,261 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  11. 11

    🇧🇷Presidente EpitácioSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,151 mm rain

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

    99%match
  12. 12

    🇧🇷Ribeirão PretoSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,500 mm rain

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

    98%match
  13. 13

    🇧🇷PitangueirasSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,344 mm rain

    Shares 21 of your 21 great-fit crops

    98%match
  14. 14

    🇧🇷BebedouroSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,354 mm rain

    Shares 21 of your 21 great-fit crops

    98%match
  15. 15

    🇧🇷IturamaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 49 in rainZone 11b · No frost · 0 chill hours · 1,249 mm rain

    Shares 20 of your 21 great-fit crops

    98%match
  16. 16

    🇧🇷Água ClaraMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,314 mm rain

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

    98%match
  17. 17

    🇧🇷CassilândiaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,454 mm rain

    Shares 20 of your 21 great-fit crops

    98%match
  18. 18

    🇧🇷BarretosSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,338 mm rain

    Shares 20 of your 21 great-fit crops

    98%match
  19. 19

    🇧🇷Presidente PrudenteSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,200 mm rain

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

    98%match
  20. 20

    🇧🇷OlímpiaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 52 in rainZone 11b · No frost · 0 chill hours · 1,314 mm rain

    Shares 20 of your 21 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 Pereira Barreto: 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.