Climatch

Land with a climate like São Pedro, Brazil

🇧🇷São Pedro, São Paulo, Brazil

The towns with the closest growing climate to São Pedro, Brazil are Mogi Guaçu, Brazil (99% match), Campinas and Araraquara. About 530,000 sq mi of land in 19 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to São Pedro, Brazil are Mogi Guaçu, Brazil (99% match), Campinas and Araraquara. About 1.4 million km² of land in 19 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

Zone 11a · No frost · 1 chill hours · 50 in rainZone 11a · No frost · 1 chill hours · 1,277 mm rain

What grows in São Pedro, Brazil →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    131k sq mi339k km² matching 80% or better

    For example Pouso Alegre (99), Guaranésia (99)

  2. 2

    🇧🇷São Paulo, Brazil

    84k sq mi217k km² matching 80% or better

    For example Paulínia (99), Hortolândia (99)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    78k sq mi202k km² matching 80% or better

    For example Chapadão do Sul (94), Aparecida do Taboado (94)

  4. 4

    🇨🇳Yunnan, China

    15k sq mi39k km² matching 80% or better

    For example Mengman (86), Mengla (84)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    12k sq mi31k km² matching 80% or better

    For example eMuziwezinto (86), Mandeni (85)

  6. 6

    🇻🇳Điện Biên Province, Vietnam

    7,000 sq mi18k km² matching 80% or better

    For example Mường Lay (78), Dien Bien Phu (76)

  7. 7

    🇲🇲Shan State, Myanmar

    5,800 sq mi15k km² matching 80% or better

    For example Kēng Tung (80), Panglong (79)

  8. 8

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (85)

  9. 9

    🇲🇿Maputo Province, Mozambique

    4,800 sq mi13k km² matching 80% or better

    For example Manhiça (84), Ressano Garcia (77)

  10. 10

    🇧🇴Santa Cruz Department, Bolivia

    4,800 sq mi13k km² matching 80% or better

    For example El Torno (81), San Ignacio de Velasco (71)

  11. 11

    🇱🇦Xiangkhoang, Laos

    4,800 sq mi12k km² matching 80% or better

    For example Muang Phônsavan (89)

  12. 12

    🇱🇦Luang Prabang Province, Laos

    4,200 sq mi11k km² matching 80% or better

    For example Luang Prabang (63)

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

    🇧🇷Mogi GuaçuSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 52 in rainZone 11a · No frost · 4 chill hours · 1,329 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  2. 2

    🇧🇷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: banana

    99%match
  3. 3

    🇧🇷AraraquaraSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 51 in rainZone 11a · No frost · 0 chill hours · 1,301 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  4. 4

    🇧🇷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: banana

    99%match
  5. 5

    🇧🇷São João da Boa VistaSão Paulo, Brazil

    Zone 11a · No frost · 5 chill hours · 56 in rainZone 11a · No frost · 5 chill hours · 1,420 mm rain

    Shares 22 of your 22 great-fit crops · Also great there: banana, tea

    99%match
  6. 6

    🇧🇷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: banana

    99%match
  7. 7

    🇧🇷TaubatéSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,258 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  8. 8

    🇧🇷GuaratinguetáSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,336 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  9. 9

    🇧🇷MococaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 54 in rainZone 11a · No frost · 2 chill hours · 1,371 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  10. 10

    🇧🇷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: banana

    99%match
  11. 11

    🇧🇷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 22 great-fit crops

    99%match
  12. 12

    🇧🇷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: banana

    99%match
  13. 13

    🇧🇷BauruSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,143 mm rain

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

    99%match
  14. 14

    🇧🇷GarçaSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 49 in rainZone 11a · No frost · 4 chill hours · 1,256 mm rain

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

    99%match
  15. 15

    🇧🇷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 22 great-fit crops

    99%match
  16. 16

    🇧🇷PirassunungaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 51 in rainZone 11a · No frost · 0 chill hours · 1,285 mm rain

    Shares 20 of your 22 great-fit crops

    99%match
  17. 17

    🇧🇷Pouso AlegreMinas Gerais, Brazil

    Zone 10b · No frost · 31 chill hours · 59 in rainZone 10b · No frost · 31 chill hours · 1,502 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  18. 18

    🇧🇷ItuSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,220 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: banana, wine grapes

    99%match
  19. 19

    🇧🇷TatuíSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 46 in rainZone 11a · No frost · 4 chill hours · 1,158 mm rain

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

    99%match
  20. 20

    🇧🇷AltinópolisSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 60 in rainZone 11a · No frost · 0 chill hours · 1,521 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    99%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 São Pedro, Brazil: 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.