Climatch

Land with a climate like Marechal Floriano

🇧🇷Marechal Floriano, Espírito Santo, Brazil

The towns with the closest growing climate to Marechal Floriano are Iúna, Brazil (96% match), Rio Claro and Guaçuí. About 221,000 sq mi of land in 15 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Minas Gerais, Brazil.The towns with the closest growing climate to Marechal Floriano are Iúna, Brazil (96% match), Rio Claro and Guaçuí. About 572,000 km² of land in 15 countries matches 80% or better, most of it in Paraná, Brazil, São Paulo, Brazil and Minas Gerais, Brazil.

Your growing climate

Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,213 mm rain

What grows in Marechal Floriano →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    49k sq mi128k km² matching 80% or better

    For example Nova Esperança (94), Paiçandu (93)

  2. 2

    🇧🇷São Paulo, Brazil

    39k sq mi102k km² matching 80% or better

    For example Paraibuna (97), Guararema (96)

  3. 3

    🇧🇷Minas Gerais, Brazil

    26k sq mi69k km² matching 80% or better

    For example Lajinha (96), Manhumirim (92)

  4. 4

    🇿🇦KwaZulu-Natal, South Africa

    8,900 sq mi23k km² matching 80% or better

    For example Shakaskraal (90), Ballitoville (90)

  5. 5

    🇨🇩North Kivu, Democratic Republic of the Congo

    3,300 sq mi8,500 km² matching 80% or better

    For example Sake (80), Kayna (79)

  6. 6

    🇲🇬Alaotra Mangoro, Madagascar

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

    For example Moramanga (83), Didy (78)

  7. 7

    🇵🇪San Martín Department, Peru

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

    For example Rioja (63), Moyobamba (63)

  8. 8

    🇲🇬Atsinanana, Madagascar

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

    For example Marolambo (65), Vohibinany (63)

  9. 9

    🇲🇽Veracruz, Mexico

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

    For example Coatepec (87), Xalapa de Enríquez (85)

  10. 10

    🇵🇪Amazonas, Peru

    1,200 sq mi3,100 km² matching 80% or better

    For example La Peca (71), Chachapoyas (55)

  11. 11

    🇻🇪Táchira, Venezuela

    1,200 sq mi3,100 km² matching 80% or better

    For example Palmira (84), Capacho Nuevo (84)

  12. 12

    🇲🇬Atsimo-Atsinanana, Madagascar

    1,100 sq mi2,800 km² matching 80% or better

    For example Vondrozo (74)

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

    🇧🇷IúnaEspírito Santo, Brazil

    Zone 11a · No frost · 10 chill hours · 45 in rainZone 11a · No frost · 10 chill hours · 1,155 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango

    96%match
  2. 2

    🇧🇷Rio ClaroRio de Janeiro, Brazil

    Zone 11a · No frost · 11 chill hours · 56 in rainZone 11a · No frost · 11 chill hours · 1,422 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: tea, mango

    96%match
  3. 3

    🇧🇷GuaçuíEspírito Santo, Brazil

    Zone 11a · No frost · 14 chill hours · 46 in rainZone 11a · No frost · 14 chill hours · 1,179 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango

    95%match
  4. 4

    🇧🇷São Bernardo do CampoSão Paulo, Brazil

    Zone 11a · No frost · 8 chill hours · 60 in rainZone 11a · No frost · 8 chill hours · 1,527 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: tea

    95%match
  5. 5

    🇧🇷PetrópolisRio de Janeiro, Brazil

    Zone 10b · No frost · 29 chill hours · 70 in rainZone 10b · No frost · 29 chill hours · 1,789 mm rain

    Shares 17 of your 23 great-fit crops · Also great there: tea

    95%match
  6. 6

    🇧🇷Bom JardimRio de Janeiro, Brazil

    Zone 10b · No frost · 19 chill hours · 50 in rainZone 10b · No frost · 19 chill hours · 1,277 mm rain

    Shares 21 of your 23 great-fit crops

    94%match
  7. 7

    🇧🇷Barra do PiraíRio de Janeiro, Brazil

    Zone 11a · No frost · 1 chill hours · 53 in rainZone 11a · No frost · 1 chill hours · 1,353 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: mango, tea

    94%match
  8. 8

    🇧🇷São PauloBrazil

    Zone 11a · No frost · 1 chill hours · 54 in rainZone 11a · No frost · 1 chill hours · 1,380 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: tea

    94%match
  9. 9

    🇧🇷SorocabaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 47 in rainZone 11a · No frost · 2 chill hours · 1,196 mm rain

    Shares 23 of your 23 great-fit crops

    94%match
  10. 10

    🇧🇷São José dos CamposSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 49 in rainZone 11a · No frost · 2 chill hours · 1,244 mm rain

    Shares 23 of your 23 great-fit crops

    94%match
  11. 11

    🇧🇷ItapetiningaSão Paulo, Brazil

    Zone 11a · No frost · 12 chill hours · 46 in rainZone 11a · No frost · 12 chill hours · 1,172 mm rain

    Shares 22 of your 23 great-fit crops

    93%match
  12. 12

    🇧🇷Barra do ChoçaBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 28 in rainZone 11b · No frost · 0 chill hours · 709 mm rain

    Shares 17 of your 23 great-fit crops · Also great there: table and raisin grapes

    93%match
  13. 13

    🇧🇷Capão BonitoSão Paulo, Brazil

    Zone 10b · No frost · 40 chill hours · 49 in rainZone 10b · No frost · 40 chill hours · 1,246 mm rain

    Shares 20 of your 23 great-fit crops

    93%match
  14. 14

    🇧🇷ItapevaSão Paulo, Brazil

    Zone 10b · No frost · 59 chill hours · 48 in rainZone 10b · No frost · 59 chill hours · 1,223 mm rain

    Shares 20 of your 23 great-fit crops

    92%match
  15. 15

    🇧🇷JundiaíSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,259 mm rain

    Shares 23 of your 23 great-fit crops

    92%match
  16. 16

    🇧🇷Biritiba MirimSão Paulo, Brazil

    Zone 10b · No frost · 23 chill hours · 69 in rainZone 10b · No frost · 23 chill hours · 1,746 mm rain

    Shares 18 of your 23 great-fit crops · Also great there: tea

    92%match
  17. 17

    🇧🇷ManhuaçuMinas Gerais, Brazil

    Zone 10b · No frost · 41 chill hours · 46 in rainZone 10b · No frost · 41 chill hours · 1,178 mm rain

    Shares 21 of your 23 great-fit crops

    91%match
  18. 18

    🇧🇷Bragança PaulistaSão Paulo, Brazil

    Zone 10b · No frost · 29 chill hours · 51 in rainZone 10b · No frost · 29 chill hours · 1,305 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: tea

    91%match
  19. 19

    🇧🇷CianorteParaná, Brazil

    Zone 10b · No frost · 11 chill hours · 54 in rainZone 10b · No frost · 11 chill hours · 1,361 mm rain

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

    91%match
  20. 20

    🇧🇷MaringáParaná, Brazil

    Zone 10b · No frost · 99 chill hours · 48 in rainZone 10b · No frost · 99 chill hours · 1,221 mm rain

    Shares 20 of your 23 great-fit crops

    91%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 Marechal Floriano: 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.