Climatch

Land with a climate like São Vicente

🇧🇷São Vicente, São Paulo, Brazil

The towns with the closest growing climate to São Vicente are Ubatuba, Brazil (99% match), Iguape and Paraty. About 136,000 sq mi of land in 18 countries matches 80% or better, most of it in Bahia, Brazil, São Paulo, Brazil and Okinawa, Japan.The towns with the closest growing climate to São Vicente are Ubatuba, Brazil (99% match), Iguape and Paraty. About 352,000 km² of land in 18 countries matches 80% or better, most of it in Bahia, Brazil, São Paulo, Brazil and Okinawa, Japan.

Your growing climate

Zone 12a · No frost · 0 chill hours · 98 in rainZone 12a · No frost · 0 chill hours · 2,486 mm rain

What grows in São Vicente →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    10k sq mi26k km² matching 80% or better

    For example Buerarema (84), Mucuri (84)

  2. 2

    🇧🇷São Paulo, Brazil

    9,300 sq mi24k km² matching 80% or better

    For example Ubatuba (99), São Sebastião (99)

  3. 3

    🇯🇵Okinawa, Japan

    7,500 sq mi20k km² matching 80% or better

    For example Miyakojima (88), Tomigusuku (87)

  4. 4

    🇹🇼Taiwan

    5,500 sq mi14k km² matching 80% or better

    For example Hualien City (93), Xiulin (92)

  5. 5

    🇧🇷Rio de Janeiro, Brazil

    4,700 sq mi12k km² matching 80% or better

    For example Paraty (98), Angra dos Reis (94)

  6. 6

    🇲🇬Atsinanana, Madagascar

    4,200 sq mi11k km² matching 80% or better

    For example Ampasimanolotra (78), Vohibinany (78)

  7. 7

    🇫🇯Central, Fiji

    3,100 sq mi8,100 km² matching 80% or better

    For example Lami (85), Nasinu (84)

  8. 8

    🇲🇬Vatovavy Region, Madagascar

    3,100 sq mi8,000 km² matching 80% or better

    For example Sahavato (81), Mananjary (78)

  9. 9

    🇫🇯Western, Fiji

    2,800 sq mi7,400 km² matching 80% or better

    For example Sigatoka (83), Nadi (78)

  10. 10

    🇮🇩West Sumatra, Indonesia

    2,400 sq mi6,200 km² matching 80% or better

    For example Payakumbuh (79), Padangpanjang (78)

  11. 11

    🇵🇭Cagayan Valley, Philippines

    2,300 sq mi5,900 km² matching 80% or better

    For example Dupax del Sur (71), Diadi (66)

  12. 12

    🇵🇫Îles du Vent, French Polynesia

    2,300 sq mi5,900 km² matching 80% or better

    For example Punaauia (90), Faaa (88)

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

    🇧🇷UbatubaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 96 in rainZone 11b · No frost · 0 chill hours · 2,444 mm rain

    Shares 24 of your 24 great-fit crops

    99%match
  2. 2

    🇧🇷IguapeSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 77 in rainZone 11b · No frost · 0 chill hours · 1,965 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  3. 3

    🇧🇷ParatyRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 90 in rainZone 11b · No frost · 0 chill hours · 2,297 mm rain

    Shares 24 of your 24 great-fit crops

    98%match
  4. 4

    🇧🇷CaraguatatubaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 85 in rainZone 11b · No frost · 0 chill hours · 2,162 mm rain

    Shares 23 of your 24 great-fit crops

    98%match
  5. 5

    🇧🇷MiracatuSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,643 mm rain

    Shares 23 of your 24 great-fit crops

    97%match
  6. 6

    🇧🇷CajatiSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 70 in rainZone 11b · No frost · 0 chill hours · 1,769 mm rain

    Shares 24 of your 24 great-fit crops

    96%match
  7. 7

    🇧🇷Angra dos ReisRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 70 in rainZone 11b · No frost · 0 chill hours · 1,768 mm rain

    Shares 24 of your 24 great-fit crops

    94%match
  8. 8

    🇧🇷GuaratubaParaná, Brazil

    Zone 11b · No frost · 0 chill hours · 78 in rainZone 11b · No frost · 0 chill hours · 1,988 mm rain

    Shares 22 of your 24 great-fit crops

    93%match
  9. 9

    🇹🇼Hualien City↻Seasons flipped. Taiwan, Taiwan

    Zone 11b · No frost · 0 chill hours · 82 in rainZone 11b · No frost · 0 chill hours · 2,087 mm rain

    Shares 24 of your 24 great-fit crops

    93%match
  10. 10

    🇧🇷ParanaguáParaná, Brazil

    Zone 11b · No frost · 0 chill hours · 81 in rainZone 11b · No frost · 0 chill hours · 2,050 mm rain

    Shares 22 of your 24 great-fit crops

    92%match
  11. 11

    🇹🇴Nuku‘alofaTongatapu, Tonga

    Zone 12b · No frost · 0 chill hours · 81 in rainZone 12b · No frost · 0 chill hours · 2,045 mm rain

    Shares 23 of your 24 great-fit crops

    92%match
  12. 12

    🇧🇷JoinvilleSanta Catarina, Brazil

    Zone 11a · No frost · 0 chill hours · 71 in rainZone 11a · No frost · 0 chill hours · 1,800 mm rain

    Shares 22 of your 24 great-fit crops

    91%match
  13. 13

    🇨🇰AvaruaRarotonga, Cook Islands

    Zone 12b · No frost · 0 chill hours · 81 in rainZone 12b · No frost · 0 chill hours · 2,052 mm rain

    Shares 23 of your 24 great-fit crops

    90%match
  14. 14

    🇹🇼Yilan↻Seasons flipped. Taiwan, Taiwan

    Zone 11a · No frost · 0 chill hours · 115 in rainZone 11a · No frost · 0 chill hours · 2,921 mm rain

    Shares 21 of your 24 great-fit crops

    89%match
  15. 15

    🇹🇼Taipei↻Seasons flipped. Taiwan, Taiwan

    Zone 11a · No frost · 0 chill hours · 108 in rainZone 11a · No frost · 0 chill hours · 2,734 mm rain

    Shares 22 of your 24 great-fit crops

    88%match
  16. 16

    🇵🇫FaaaÎles du Vent, French Polynesia

    Zone 12b · No frost · 0 chill hours · 76 in rainZone 12b · No frost · 0 chill hours · 1,942 mm rain

    Shares 20 of your 24 great-fit crops

    88%match
  17. 17

    🇯🇵Miyakojima↻Seasons flipped. Okinawa, Japan

    Zone 11b · No frost · 0 chill hours · 86 in rainZone 11b · No frost · 0 chill hours · 2,188 mm rain

    Shares 24 of your 24 great-fit crops

    88%match
  18. 18

    🇧🇷Duque de CaxiasRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,458 mm rain

    Shares 23 of your 24 great-fit crops · Also great there: fig

    86%match
  19. 19

    🇯🇵Ishigaki↻Seasons flipped. Okinawa, Japan

    Zone 11b · No frost · 0 chill hours · 82 in rainZone 11b · No frost · 0 chill hours · 2,085 mm rain

    Shares 24 of your 24 great-fit crops

    86%match
  20. 20

    🇯🇵Naha↻Seasons flipped. Okinawa, Japan

    Zone 11b · No frost · 0 chill hours · 86 in rainZone 11b · No frost · 0 chill hours · 2,182 mm rain

    Shares 23 of your 24 great-fit crops

    86%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 Vicente: 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.