Climatch

Land with a climate like Ubatuba

🇧🇷Ubatuba, São Paulo, Brazil

The towns with the closest growing climate to Ubatuba are Santos, Brazil (99% match), Iguape and Itanhaém. About 167,000 sq mi of land in 16 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Bahia, Brazil.The towns with the closest growing climate to Ubatuba are Santos, Brazil (99% match), Iguape and Itanhaém. About 432,000 km² of land in 16 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, São Paulo, Brazil and Bahia, Brazil.

Your growing climate

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

What grows in Ubatuba →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    12k sq mi31k km² matching 80% or better

    For example Naviraí (83), Itaquiraí (82)

  2. 2

    🇧🇷São Paulo, Brazil

    10k sq mi27k km² matching 80% or better

    For example Guarujá (99), Cubatão (99)

  3. 3

    🇧🇷Bahia, Brazil

    8,100 sq mi21k km² matching 80% or better

    For example Buerarema (83), Mucuri (83)

  4. 4

    🇲🇬Atsinanana, Madagascar

    5,400 sq mi14k km² matching 80% or better

    For example Vohibinany (84), Toamasina (80)

  5. 5

    🇲🇬Vatovavy Region, Madagascar

    4,200 sq mi11k km² matching 80% or better

    For example Sahavato (81), Ifanadiana (80)

  6. 6

    🇵🇪San Martín Department, Peru

    3,900 sq mi10,000 km² matching 80% or better

    For example Moyobamba (83), Rioja (82)

  7. 7

    🇹🇼Taiwan

    3,800 sq mi9,900 km² matching 80% or better

    For example Xiulin (87), Taoyuan (86)

  8. 8

    🇮🇩West Sumatra, Indonesia

    3,000 sq mi7,700 km² matching 80% or better

    For example Bukittinggi (83), Padangpanjang (83)

  9. 9

    🇲🇬Atsimo-Atsinanana, Madagascar

    2,700 sq mi7,100 km² matching 80% or better

    For example Vohipaho (84), Vangaindrano (84)

  10. 10

    🇵🇬Morobe Province, Papua New Guinea

    2,700 sq mi6,900 km² matching 80% or better

    For example Bulolo (84)

  11. 11

    🇮🇩Jambi, Indonesia

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

    For example Sungai Penuh (85)

  12. 12

    🇲🇽Veracruz, Mexico

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

    For example Tlapacoyan (91), Misantla (87)

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

    🇧🇷SantosSão Paulo, Brazil

    Zone 12a · No frost · 0 chill hours · 100 in rainZone 12a · No frost · 0 chill hours · 2,541 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

    98%match
  3. 3

    🇧🇷ItanhaémSão Paulo, Brazil

    Zone 12a · No frost · 0 chill hours · 79 in rainZone 12a · No frost · 0 chill hours · 2,018 mm rain

    Shares 24 of your 24 great-fit crops

    98%match
  4. 4

    🇧🇷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

    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

    96%match
  6. 6

    🇧🇷MatinhosParaná, Brazil

    Zone 11b · No frost · 0 chill hours · 80 in rainZone 11b · No frost · 0 chill hours · 2,031 mm rain

    Shares 22 of your 24 great-fit crops

    94%match
  7. 7

    🇧🇷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

    94%match
  8. 8

    🇧🇷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

    94%match
  9. 9

    🇧🇷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

    93%match
  10. 10

    🇲🇽Tlapacoyan↻Seasons flipped. Veracruz, Mexico

    Zone 11b · No frost · 0 chill hours · 76 in rainZone 11b · No frost · 0 chill hours · 1,922 mm rain

    Shares 23 of your 24 great-fit crops

    91%match
  11. 11

    🇧🇷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

    89%match
  12. 12

    🇧🇷ItajaíSanta Catarina, Brazil

    Zone 11a · No frost · 5 chill hours · 67 in rainZone 11a · No frost · 5 chill hours · 1,713 mm rain

    Shares 22 of your 24 great-fit crops

    89%match
  13. 13

    🇧🇷GuapimirimRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,399 mm rain

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

    88%match
  14. 14

    🇵🇭Bontoc↻Seasons flipped. Cordillera, Philippines

    Zone 12a · No frost · 0 chill hours · 126 in rainZone 12a · No frost · 0 chill hours · 3,206 mm rain

    Shares 18 of your 24 great-fit crops

    88%match
  15. 15

    🇧🇷FlorianópolisSanta Catarina, Brazil

    Zone 11a · No frost · 0 chill hours · 65 in rainZone 11a · No frost · 0 chill hours · 1,659 mm rain

    Shares 22 of your 24 great-fit crops

    87%match
  16. 16

    🇧🇷SerraEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,204 mm rain

    Shares 22 of your 24 great-fit crops · Also great there: fig

    87%match
  17. 17

    🇧🇷BlumenauSanta Catarina, Brazil

    Zone 11a · No frost · 4 chill hours · 67 in rainZone 11a · No frost · 4 chill hours · 1,703 mm rain

    Shares 22 of your 24 great-fit crops

    86%match
  18. 18

    🇹🇼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

    86%match
  19. 19

    🇧🇷ItaguaíRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 51 in rainZone 11b · No frost · 0 chill hours · 1,303 mm rain

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

    86%match
  20. 20

    🇧🇷MacaéRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,243 mm rain

    Shares 21 of your 24 great-fit crops · Also great there: fig

    85%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 Ubatuba: 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.