Climatch

Land with a climate like Iguape

🇧🇷Iguape, São Paulo, Brazil

The towns with the closest growing climate to Iguape are Guaratuba, Brazil (99% match), Caraguatatuba and Paranaguá. About 64,000 sq mi of land in 14 countries matches 80% or better, most of it in São Paulo, Brazil, Santa Catarina, Brazil and Rio de Janeiro, Brazil.The towns with the closest growing climate to Iguape are Guaratuba, Brazil (99% match), Caraguatatuba and Paranaguá. About 167,000 km² of land in 14 countries matches 80% or better, most of it in São Paulo, Brazil, Santa Catarina, Brazil and Rio de Janeiro, Brazil.

Your growing climate

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

What grows in Iguape →

Regions with the most land like yours

  1. 1

    🇧🇷São Paulo, Brazil

    11k sq mi28k km² matching 80% or better

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

  2. 2

    🇧🇷Santa Catarina, Brazil

    8,800 sq mi23k km² matching 80% or better

    For example São Francisco do Sul (99), Itapoá (99)

  3. 3

    🇧🇷Rio de Janeiro, Brazil

    6,300 sq mi16k km² matching 80% or better

    For example Paraty (97), Angra dos Reis (93)

  4. 4

    🇹🇼Taiwan

    5,700 sq mi15k km² matching 80% or better

    For example Neili (91), Bade (90)

  5. 5

    🇯🇵Okinawa, Japan

    2,200 sq mi5,600 km² matching 80% or better

    For example Miyakojima (83), Chatan (82)

  6. 6

    🇵🇫Îles du Vent, French Polynesia

    1,700 sq mi4,400 km² matching 80% or better

    For example Punaauia (79), Faaa (75)

  7. 7

    🇲🇽Veracruz, Mexico

    1,400 sq mi3,600 km² matching 80% or better

    For example Tlapacoyan (86), Misantla (84)

  8. 8

    🇹🇴Tongatapu, Tonga

    1,100 sq mi2,900 km² matching 80% or better

    For example Nuku‘alofa (85)

  9. 9

    🇨🇰Rarotonga, Cook Islands

    1,100 sq mi2,900 km² matching 80% or better

    For example Avarua (82)

  10. 10

    🇫🇯Western, Fiji

    900 sq mi2,200 km² matching 80% or better

    For example Sigatoka (70), Nadi (63)

  11. 11

    🇵🇬Eastern Highlands Province, Papua New Guinea

    600 sq mi1,500 km² matching 80% or better

    For example Goroka (70)

  12. 12

    🇵🇭Cagayan Valley, Philippines

    600 sq mi1,500 km² matching 80% or better

    For example Dupax del Sur (59), Dupax Del Norte (52)

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

    🇧🇷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 23 great-fit crops

    99%match
  2. 2

    🇧🇷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 23 great-fit crops

    99%match
  3. 3

    🇧🇷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 23 great-fit crops

    99%match
  4. 4

    🇧🇷ItanhaémSão Paulo, Brazil

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

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

    99%match
  5. 5

    🇧🇷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 23 great-fit crops

    99%match
  6. 6

    🇧🇷SantosSão Paulo, Brazil

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

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

    99%match
  7. 7

    🇧🇷UbatubaSão Paulo, Brazil

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

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

    98%match
  8. 8

    🇧🇷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 23 of your 23 great-fit crops · Also great there: cacao

    97%match
  9. 9

    🇧🇷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 23 great-fit crops

    95%match
  10. 10

    🇧🇷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 23 great-fit crops

    95%match
  11. 11

    🇧🇷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 23 of your 23 great-fit crops · Also great there: cacao

    93%match
  12. 12

    🇧🇷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 23 great-fit crops

    93%match
  13. 13

    🇧🇷CorupáSanta Catarina, Brazil

    Zone 11a · No frost · 4 chill hours · 63 in rainZone 11a · No frost · 4 chill hours · 1,589 mm rain

    Shares 22 of your 23 great-fit crops

    93%match
  14. 14

    🇧🇷TubarãoSanta Catarina, Brazil

    Zone 11a · No frost · 6 chill hours · 59 in rainZone 11a · No frost · 6 chill hours · 1,499 mm rain

    Shares 22 of your 23 great-fit crops

    92%match
  15. 15

    🇧🇷São João BatistaSanta Catarina, Brazil

    Zone 11a · No frost · 8 chill hours · 66 in rainZone 11a · No frost · 8 chill hours · 1,666 mm rain

    Shares 22 of your 23 great-fit crops

    92%match
  16. 16

    🇧🇷ImbitubaSanta Catarina, Brazil

    Zone 11a · No frost · 0 chill hours · 62 in rainZone 11a · No frost · 0 chill hours · 1,563 mm rain

    Shares 22 of your 23 great-fit crops

    91%match
  17. 17

    🇹🇼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 23 of your 23 great-fit crops · Also great there: cacao

    89%match
  18. 18

    🇧🇷Armação dos BúziosRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,242 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig, cacao

    88%match
  19. 19

    🇧🇷Cerro AzulParaná, Brazil

    Zone 11a · No frost · 5 chill hours · 46 in rainZone 11a · No frost · 5 chill hours · 1,172 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: fig

    87%match
  20. 20

    🇲🇽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 23 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 Iguape: 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.