Climatch

Land with a climate like Pedro Canário

🇧🇷Pedro Canário, Espírito Santo, Brazil

The towns with the closest growing climate to Pedro Canário are Itanhém, Brazil (99% match), Nova Venécia and Guaratinga. About 772,000 sq mi of land in 30 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Bahia, Brazil and São Paulo, Brazil.The towns with the closest growing climate to Pedro Canário are Itanhém, Brazil (99% match), Nova Venécia and Guaratinga. About 2.0 million km² of land in 30 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Bahia, Brazil and São Paulo, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 43 in rainZone 12a · No frost · 0 chill hours · 1,082 mm rain

What grows in Pedro Canário →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    81k sq mi210k km² matching 80% or better

    For example Rio Brilhante (91), Itaporã (91)

  2. 2

    🇧🇷Bahia, Brazil

    55k sq mi143k km² matching 80% or better

    For example Itanhém (99), Guaratinga (99)

  3. 3

    🇧🇷São Paulo, Brazil

    22k sq mi56k km² matching 80% or better

    For example Rosana (93), Presidente Epitácio (91)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    21k sq mi55k km² matching 80% or better

    For example Cotoca (88), Warnes (88)

  5. 5

    🇺🇸Florida, United States

    16k sq mi42k km² matching 80% or better

    For example Homestead (90), Leisure City (89)

  6. 6

    🇨🇩Maniema, Democratic Republic of the Congo

    11k sq mi29k km² matching 80% or better

    For example Kindu (87), Kampene (84)

  7. 7

    🇲🇽Quintana Roo, Mexico

    11k sq mi28k km² matching 80% or better

    For example Cancún (86), Tulum (83)

  8. 8

    🇲🇽Veracruz, Mexico

    10k sq mi27k km² matching 80% or better

    For example Poza Rica de Hidalgo (92), Coatzintla (92)

  9. 9

    🇵🇾Concepción, Paraguay

    10k sq mi26k km² matching 80% or better

    For example Yby Yaú (90), Concepción (85)

  10. 10

    🇨🇬Cuvette, Republic of the Congo

    10k sq mi26k km² matching 80% or better

    For example Owando (80), Mossaka (78)

  11. 11

    🇵🇪San Martín Department, Peru

    9,200 sq mi24k km² matching 80% or better

    For example Rioja (85), Juanjuí (82)

  12. 12

    🇨🇩Sankuru, Democratic Republic of the Congo

    9,000 sq mi23k km² matching 80% or better

    For example Lodja (84), Lukula (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

    🇧🇷ItanhémBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,017 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  2. 2

    🇧🇷Nova VenéciaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 41 in rainZone 12a · No frost · 0 chill hours · 1,051 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  3. 3

    🇧🇷GuaratingaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,021 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  4. 4

    🇧🇷AracruzEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 45 in rainZone 12a · No frost · 0 chill hours · 1,143 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  5. 5

    🇧🇷EcoporangaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,013 mm rain

    Shares 19 of your 21 great-fit crops

    99%match
  6. 6

    🇧🇷QuissamãRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 42 in rainZone 12a · No frost · 0 chill hours · 1,071 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  7. 7

    🇧🇷São MateusEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,190 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  8. 8

    🇧🇷Cachoeiro de ItapemirimEspírito Santo, Brazil

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,057 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  9. 9

    🇧🇷ColatinaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 42 in rainZone 12a · No frost · 0 chill hours · 1,062 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  10. 10

    🇧🇷Rio de JaneiroBrazil

    Zone 12a · No frost · 0 chill hours · 43 in rainZone 12a · No frost · 0 chill hours · 1,092 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  11. 11

    🇧🇷Vila VelhaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 48 in rainZone 12a · No frost · 0 chill hours · 1,222 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: cacao, coffee (arabica)

    99%match
  12. 12

    🇧🇷LinharesEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 45 in rainZone 12a · No frost · 0 chill hours · 1,131 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  13. 13

    🇧🇷GuarapariEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 43 in rainZone 12a · No frost · 0 chill hours · 1,104 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  14. 14

    🇧🇷ItapetingaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 831 mm rain

    Shares 18 of your 21 great-fit crops · Also great there: table and raisin grapes

    99%match
  15. 15

    🇧🇷Barra de São FranciscoEspírito Santo, Brazil

    Zone 11b · No frost · 0 chill hours · 40 in rainZone 11b · No frost · 0 chill hours · 1,022 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  16. 16

    🇧🇷ItamarajuBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 45 in rainZone 12a · No frost · 0 chill hours · 1,142 mm rain

    Shares 21 of your 21 great-fit crops

    99%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 21 great-fit crops · Also great there: coffee (arabica)

    98%match
  18. 18

    🇧🇷Campos dos GoytacazesRio de Janeiro, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,017 mm rain

    Shares 18 of your 21 great-fit crops

    98%match
  19. 19

    🇧🇷MacaraniBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 791 mm rain

    Shares 16 of your 21 great-fit crops · Also great there: table and raisin grapes

    98%match
  20. 20

    🇧🇷Baixo GuanduEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,025 mm rain

    Shares 18 of your 21 great-fit crops

    97%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 Pedro Canário: 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.