Climatch

Land with a climate like Itanhaém

🇧🇷Itanhaém, São Paulo, Brazil

The towns with the closest growing climate to Itanhaém are Cajati, Brazil (99% match), Juquiá and Registro. About 186,000 sq mi of land in 21 countries matches 80% or better, most of it in Bahia, Brazil, Mato Grosso do Sul, Brazil and Espírito Santo, Brazil.The towns with the closest growing climate to Itanhaém are Cajati, Brazil (99% match), Juquiá and Registro. About 481,000 km² of land in 21 countries matches 80% or better, most of it in Bahia, Brazil, Mato Grosso do Sul, Brazil and Espírito Santo, Brazil.

Your growing climate

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

What grows in Itanhaém →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    20k sq mi51k km² matching 80% or better

    For example Mucuri (87), Posto da Mata (87)

  2. 2

    🇧🇷Mato Grosso do Sul, Brazil

    11k sq mi27k km² matching 80% or better

    For example Fátima do Sul (84), Dourados (83)

  3. 3

    🇧🇷Espírito Santo, Brazil

    10k sq mi27k km² matching 80% or better

    For example Vila Velha (89), Vitória (88)

  4. 4

    🇯🇵Okinawa, Japan

    7,000 sq mi18k km² matching 80% or better

    For example Miyakojima (87), Tomigusuku (86)

  5. 5

    🇹🇼Taiwan

    4,900 sq mi13k km² matching 80% or better

    For example Hualien City (94), Xiulin (91)

  6. 6

    🇫🇯Western, Fiji

    3,400 sq mi8,800 km² matching 80% or better

    For example Sigatoka (83), Nadi (80)

  7. 7

    🇵🇪Junin, Peru

    3,200 sq mi8,400 km² matching 80% or better

    For example Santa Rosa (82), Satipo (82)

  8. 8

    🇲🇽Veracruz, Mexico

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

    For example Misantla (89), Tlapacoyan (88)

  9. 9

    🇵🇪San Martín Department, Peru

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

    For example Rioja (82), Moyobamba (80)

  10. 10

    🇲🇬Atsinanana, Madagascar

    2,800 sq mi7,300 km² matching 80% or better

    For example Vohibinany (80), Ampasimanolotra (77)

  11. 11

    🇵🇫Îles du Vent, French Polynesia

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

    For example Punaauia (92), Faaa (90)

  12. 12

    🇲🇬Vatovavy Region, Madagascar

    2,200 sq mi5,800 km² matching 80% or better

    For example Sahavato (80), Ifanadiana (75)

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

    🇧🇷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

    99%match
  2. 2

    🇧🇷JuquiáSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,586 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  3. 3

    🇧🇷RegistroSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 63 in rainZone 11b · No frost · 0 chill hours · 1,593 mm rain

    Shares 24 of your 24 great-fit crops

    99%match
  4. 4

    🇧🇷BertiogaSão Paulo, Brazil

    Zone 12a · No frost · 0 chill hours · 114 in rainZone 12a · No frost · 0 chill hours · 2,906 mm rain

    Shares 22 of your 24 great-fit crops

    98%match
  5. 5

    🇧🇷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
  6. 6

    🇧🇷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

    98%match
  7. 7

    🇧🇷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

    97%match
  8. 8

    🇧🇷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

    97%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

    94%match
  10. 10

    🇧🇷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
  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

    92%match
  12. 12

    🇹🇴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
  13. 13

    🇧🇷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
  14. 14

    🇧🇷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

    92%match
  15. 15

    🇨🇰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

    91%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

    90%match
  17. 17

    🇧🇷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

    89%match
  18. 18

    🇧🇷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

    89%match
  19. 19

    🇧🇷Cabo FrioRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 46 in rainZone 12a · No frost · 0 chill hours · 1,162 mm rain

    Shares 20 of your 24 great-fit crops · Also great there: fig

    88%match
  20. 20

    🇹🇼Taitung↻Seasons flipped. Taiwan, Taiwan

    Zone 12a · No frost · 0 chill hours · 79 in rainZone 12a · No frost · 0 chill hours · 1,999 mm rain

    Shares 23 of your 24 great-fit crops

    88%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 Itanhaém: 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.