Climatch

Land with a climate like Santa Teresa, Brazil

🇧🇷Santa Teresa, Espírito Santo, Brazil

The towns with the closest growing climate to Santa Teresa, Brazil are Vargem Alta, Brazil (99% match), Iúna and Petrópolis. About 184,000 sq mi of land in 14 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 Santa Teresa, Brazil are Vargem Alta, Brazil (99% match), Iúna and Petrópolis. About 476,000 km² of land in 14 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 · 1 chill hours · 48 in rainZone 11a · No frost · 1 chill hours · 1,222 mm rain

What grows in Santa Teresa, Brazil →

Regions with the most land like yours

  1. 1

    🇧🇷Paraná, Brazil

    43k sq mi112k km² matching 80% or better

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

  2. 2

    🇧🇷São Paulo, Brazil

    33k sq mi87k km² matching 80% or better

    For example Paraibuna (97), Guararema (96)

  3. 3

    🇧🇷Minas Gerais, Brazil

    20k sq mi52k km² matching 80% or better

    For example Lajinha (95), Manhumirim (92)

  4. 4

    🇿🇦KwaZulu-Natal, South Africa

    5,000 sq mi13k km² matching 80% or better

    For example KwaDukuza (86), Shakaskraal (86)

  5. 5

    🇨🇩North Kivu, Democratic Republic of the Congo

    4,500 sq mi12k km² matching 80% or better

    For example Kayna (83), Sake (82)

  6. 6

    🇲🇬Alaotra Mangoro, Madagascar

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

    For example Moramanga (81), Didy (75)

  7. 7

    🇵🇪San Martín Department, Peru

    2,400 sq mi6,200 km² matching 80% or better

    For example Rioja (61), Moyobamba (60)

  8. 8

    🇵🇪Amazonas, Peru

    2,100 sq mi5,400 km² matching 80% or better

    For example La Peca (69), Chachapoyas (60)

  9. 9

    🇲🇬Atsinanana, Madagascar

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

    For example Marolambo (59), Vohibinany (57)

  10. 10

    🇲🇽Veracruz, Mexico

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

    For example Coatepec (86), Banderilla (84)

  11. 11

    🇺🇬Western Region, Uganda

    900 sq mi2,300 km² matching 80% or better

    For example Kanungu (84), Rukungiri (82)

  12. 12

    🇷🇼Western Province, Rwanda

    900 sq mi2,300 km² matching 80% or better

    For example Gisenyi (80), Nyabitekeli (79)

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

    🇧🇷Vargem AltaEspírito Santo, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,180 mm rain

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

    99%match
  2. 2

    🇧🇷IúnaEspírito Santo, Brazil

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

    Shares 21 of your 22 great-fit crops · Also great there: cassava, mango

    96%match
  3. 3

    🇧🇷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 22 great-fit crops · Also great there: tea

    96%match
  4. 4

    🇧🇷Mogi das CruzesSão Paulo, Brazil

    Zone 11a · No frost · 14 chill hours · 59 in rainZone 11a · No frost · 14 chill hours · 1,499 mm rain

    Shares 18 of your 22 great-fit crops · Also great there: tea

    95%match
  5. 5

    🇧🇷São José do Vale do Rio PretoRio de Janeiro, Brazil

    Zone 11a · No frost · 9 chill hours · 58 in rainZone 11a · No frost · 9 chill hours · 1,462 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea, cassava

    95%match
  6. 6

    🇧🇷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 21 of your 22 great-fit crops · Also great there: tea, cassava, mango

    95%match
  7. 7

    🇧🇷ItapeviSão Paulo, Brazil

    Zone 11a · No frost · 11 chill hours · 54 in rainZone 11a · No frost · 11 chill hours · 1,365 mm rain

    Shares 19 of your 22 great-fit crops · Also great there: tea

    94%match
  8. 8

    🇧🇷GuaçuíEspírito Santo, Brazil

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

    Shares 21 of your 22 great-fit crops · Also great there: mango, cassava

    94%match
  9. 9

    🇧🇷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 22 great-fit crops · Also great there: tea

    94%match
  10. 10

    🇧🇷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 22 great-fit crops

    93%match
  11. 11

    🇧🇷SorocabaSão Paulo, Brazil

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

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

    93%match
  12. 12

    🇧🇷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 22 great-fit crops

    93%match
  13. 13

    🇧🇷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 22 great-fit crops

    93%match
  14. 14

    🇧🇷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 22 great-fit crops · Also great there: table and raisin grapes

    93%match
  15. 15

    🇧🇷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 22 of your 22 great-fit crops · Also great there: cassava

    93%match
  16. 16

    🇧🇷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 21 of your 22 great-fit crops · Also great there: cassava, mango, tea

    92%match
  17. 17

    🇧🇷JuquitibaSão Paulo, Brazil

    Zone 11a · No frost · 14 chill hours · 65 in rainZone 11a · No frost · 14 chill hours · 1,647 mm rain

    Shares 18 of your 22 great-fit crops · Also great there: tea

    92%match
  18. 18

    🇧🇷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 22 great-fit crops

    92%match
  19. 19

    🇧🇷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 22 great-fit crops · Also great there: tea

    92%match
  20. 20

    🇧🇷Nova FriburgoRio de Janeiro, Brazil

    Zone 10b · No frost · 82 chill hours · 53 in rainZone 10b · No frost · 82 chill hours · 1,358 mm rain

    Shares 19 of your 22 great-fit crops · Also great there: tea

    92%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 Santa Teresa, Brazil: 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.