Climatch

Land with a climate like Paraty

🇧🇷Paraty, Rio de Janeiro, Brazil

The towns with the closest growing climate to Paraty are Caraguatatuba, Brazil (99% match), Santos and Itanhaém. About 283,000 sq mi of land in 23 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Paraná, Brazil and Bahia, Brazil.The towns with the closest growing climate to Paraty are Caraguatatuba, Brazil (99% match), Santos and Itanhaém. About 732,000 km² of land in 23 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Paraná, Brazil and Bahia, Brazil.

Your growing climate

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

What grows in Paraty →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    22k sq mi58k km² matching 80% or better

    For example Naviraí (87), Fátima do Sul (86)

  2. 2

    🇧🇷Paraná, Brazil

    19k sq mi48k km² matching 80% or better

    For example Morretes (95), Antonina (95)

  3. 3

    🇧🇷Bahia, Brazil

    15k sq mi39k km² matching 80% or better

    For example Posto da Mata (85), Mucuri (85)

  4. 4

    🇵🇪San Martín Department, Peru

    8,600 sq mi22k km² matching 80% or better

    For example Rioja (86), Moyobamba (86)

  5. 5

    🇲🇬Atsinanana, Madagascar

    5,900 sq mi15k km² matching 80% or better

    For example Vohibinany (86), Marolambo (82)

  6. 6

    🇵🇪Junin, Peru

    5,600 sq mi14k km² matching 80% or better

    For example Santa Rosa (84), Satipo (83)

  7. 7

    🇲🇬Vatovavy Region, Madagascar

    4,500 sq mi12k km² matching 80% or better

    For example Ifanadiana (83), Sahavato (82)

  8. 8

    🇲🇬Atsimo-Atsinanana, Madagascar

    4,100 sq mi11k km² matching 80% or better

    For example Vohipaho (86), Vangaindrano (85)

  9. 9

    🇲🇽Veracruz, Mexico

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

    For example Tlapacoyan (92), Misantla (89)

  10. 10

    🇵🇪Madre de Dios, Peru

    2,900 sq mi7,600 km² matching 80% or better

    For example Tambopata (78), Puerto Maldonado (74)

  11. 11

    🇹🇼Taiwan

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

    For example Hualien City (85), Xiulin (84)

  12. 12

    🇮🇩West Sumatra, Indonesia

    2,700 sq mi7,000 km² matching 80% or better

    For example Bukittinggi (83), Padangpanjang (83)

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

    🇧🇷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

    99%match
  2. 2

    🇧🇷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

    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

    🇧🇷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

    97%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

    🇧🇷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

    95%match
  7. 7

    🇧🇷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

    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

    🇧🇷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
  10. 10

    🇧🇷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
  11. 11

    🇲🇽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

    92%match
  12. 12

    🇧🇷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

    92%match
  13. 13

    🇧🇷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

    91%match
  14. 14

    🇧🇷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

    90%match
  15. 15

    🇧🇷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
  16. 16

    🇧🇷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

    87%match
  17. 17

    🇻🇪San Cristóbal↻Seasons flipped. Táchira, Venezuela

    Zone 12b · No frost · 0 chill hours · 81 in rainZone 12b · No frost · 0 chill hours · 2,069 mm rain

    Shares 24 of your 24 great-fit crops

    87%match
  18. 18

    🇧🇷GuaíraParaná, Brazil

    Zone 11a · No frost · 1 chill hours · 61 in rainZone 11a · No frost · 1 chill hours · 1,562 mm rain

    Shares 23 of your 24 great-fit crops

    87%match
  19. 19

    🇧🇷NaviraíMato Grosso do Sul, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,472 mm rain

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

    87%match
  20. 20

    🇵🇬BuloloMorobe Province, Papua New Guinea

    Zone 12b · No frost · 0 chill hours · 89 in rainZone 12b · No frost · 0 chill hours · 2,250 mm rain

    Shares 21 of your 24 great-fit crops

    87%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 Paraty: 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.