Climatch

Land with a climate like São Miguel Arcanjo

🇧🇷São Miguel Arcanjo, São Paulo, Brazil

The towns with the closest growing climate to São Miguel Arcanjo are Itaquaquecetuba, Brazil (99% match), São Paulo and São Roque. About 265,000 sq mi of land in 11 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Minas Gerais, Brazil.The towns with the closest growing climate to São Miguel Arcanjo are Itaquaquecetuba, Brazil (99% match), São Paulo and São Roque. About 685,000 km² of land in 11 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Minas Gerais, Brazil.

Your growing climate

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

What grows in São Miguel Arcanjo →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    62k sq mi161k km² matching 80% or better

    For example Sengés (97), Arapoti (97)

  2. 2

    🇧🇷São Paulo, Brazil

    47k sq mi121k km² matching 80% or better

    For example Barueri (99), Jandira (99)

  3. 3

    🇧🇷Minas Gerais, Brazil

    42k sq mi109k km² matching 80% or better

    For example Extrema (97), Cambuí (97)

  4. 4

    🇨🇳Yunnan, China

    8,800 sq mi23k km² matching 80% or better

    For example Wenshan City (86), Kaihua (86)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    6,500 sq mi17k km² matching 80% or better

    For example KwaDukuza (87), Pinetown (87)

  6. 6

    🇻🇳Lai Châu Province, Vietnam

    2,200 sq mi5,700 km² matching 80% or better

    For example Lai Châu (84)

  7. 7

    🇵🇪San Martín Department, Peru

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

  8. 8

    🇿🇦Eastern Cape, South Africa

    2,000 sq mi5,200 km² matching 80% or better

    For example East London (80), Gonubie (79)

  9. 9

    🇲🇬Alaotra Mangoro, Madagascar

    2,000 sq mi5,100 km² matching 80% or better

    For example Moramanga (79), Didy (79)

  10. 10

    🇻🇳Tuyen Quang, Vietnam

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

    For example Bắc Quang (56)

  11. 11

    🇻🇳Cao Bằng Province, Vietnam

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

    For example Thị Trấn Trùng Khánh (69), Cao Bằng (58)

  12. 12

    🇵🇪Amazonas, Peru

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

    For example Chachapoyas (69), La Peca (60)

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

    🇧🇷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

    99%match
  2. 2

    🇧🇷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

    99%match
  3. 3

    🇧🇷São RoqueSão Paulo, Brazil

    Zone 11a · No frost · 18 chill hours · 51 in rainZone 11a · No frost · 18 chill hours · 1,305 mm rain

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

    99%match
  4. 4

    🇧🇷ItapevaSão Paulo, Brazil

    Zone 10b · No frost · 59 chill hours · 48 in rainZone 10b · No frost · 59 chill hours · 1,223 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  5. 5

    🇧🇷Bragança PaulistaSão Paulo, Brazil

    Zone 10b · No frost · 29 chill hours · 51 in rainZone 10b · No frost · 29 chill hours · 1,305 mm rain

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

    99%match
  6. 6

    🇧🇷São José dos CamposSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 49 in rainZone 11a · No frost · 2 chill hours · 1,244 mm rain

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

    99%match
  7. 7

    🇧🇷JundiaíSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,259 mm rain

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

    98%match
  8. 8

    🇧🇷ItararéSão Paulo, Brazil

    Zone 10b · No frost · 56 chill hours · 49 in rainZone 10b · No frost · 56 chill hours · 1,245 mm rain

    Shares 20 of your 20 great-fit crops

    98%match
  9. 9

    🇧🇷ApiaíSão Paulo, Brazil

    Zone 10b · No frost · 108 chill hours · 56 in rainZone 10b · No frost · 108 chill hours · 1,417 mm rain

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

    97%match
  10. 10

    🇧🇷JuquitibaSão Paulo, Brazil

    Zone 11a · No frost · 14 chill hours · 65 in rainZone 11a · No frost · 14 chill hours · 1,647 mm rain

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

    97%match
  11. 11

    🇧🇷CambuíMinas Gerais, Brazil

    Zone 10b · No frost · 58 chill hours · 57 in rainZone 10b · No frost · 58 chill hours · 1,460 mm rain

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

    97%match
  12. 12

    🇧🇷Rio ClaroRio de Janeiro, Brazil

    Zone 11a · No frost · 11 chill hours · 56 in rainZone 11a · No frost · 11 chill hours · 1,422 mm rain

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

    97%match
  13. 13

    🇧🇷CunhaSão Paulo, Brazil

    Zone 10b · No frost · 107 chill hours · 56 in rainZone 10b · No frost · 107 chill hours · 1,425 mm rain

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

    97%match
  14. 14

    🇧🇷São José do Vale do Rio PretoRio de Janeiro, Brazil

    Zone 11a · No frost · 9 chill hours · 58 in rainZone 11a · No frost · 9 chill hours · 1,462 mm rain

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

    97%match
  15. 15

    🇧🇷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

    96%match
  16. 16

    🇧🇷BotucatuSão Paulo, Brazil

    Zone 11a · No frost · 13 chill hours · 51 in rainZone 11a · No frost · 13 chill hours · 1,306 mm rain

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

    96%match
  17. 17

    🇧🇷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

    96%match
  18. 18

    🇧🇷Nova FriburgoRio de Janeiro, Brazil

    Zone 10b · No frost · 82 chill hours · 53 in rainZone 10b · No frost · 82 chill hours · 1,358 mm rain

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

    95%match
  19. 19

    🇧🇷SocorroSão Paulo, Brazil

    Zone 11a · No frost · 17 chill hours · 52 in rainZone 11a · No frost · 17 chill hours · 1,333 mm rain

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

    95%match
  20. 20

    🇧🇷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

    95%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 Miguel Arcanjo: 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.