Climatch

Land with a climate like Nova Friburgo

🇧🇷Nova Friburgo, Rio de Janeiro, Brazil

The towns with the closest growing climate to Nova Friburgo are Cunha, Brazil (99% match), Ouro Preto and Espera Feliz. About 143,000 sq mi of land in 10 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Paraná, Brazil.The towns with the closest growing climate to Nova Friburgo are Cunha, Brazil (99% match), Ouro Preto and Espera Feliz. About 370,000 km² of land in 10 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Paraná, Brazil.

Your growing climate

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

What grows in Nova Friburgo →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    49k sq mi126k km² matching 80% or better

    For example Extrema (97), Ouro Preto (97)

  2. 2

    🇧🇷São Paulo, Brazil

    25k sq mi64k km² matching 80% or better

    For example Cunha (99), Nazaré Paulista (98)

  3. 3

    🇧🇷Paraná, Brazil

    22k sq mi57k km² matching 80% or better

    For example Maringá (90), Sarandi (88)

  4. 4

    🇨🇳Yunnan, China

    11k sq mi28k km² matching 80% or better

    For example Wenshan City (88), Kaihua (88)

  5. 5

    🇵🇪San Martín Department, Peru

    1,800 sq mi4,600 km² matching 80% or better

  6. 6

    🇻🇳Lai Châu Province, Vietnam

    1,700 sq mi4,300 km² matching 80% or better

    For example Lai Châu (77)

  7. 7

    🇻🇳Tuyen Quang, Vietnam

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

  8. 8

    🇵🇪Amazonas, Peru

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

    For example Chachapoyas (77)

  9. 9

    🇵🇪Puno, Peru

    1,200 sq mi3,000 km² matching 80% or better

  10. 10

    🇻🇳Lao Cai, Vietnam

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

  11. 11

    🇲🇽Veracruz, Mexico

    600 sq mi1,500 km² matching 80% or better

    For example Xico (89), Banderilla (88)

  12. 12

    🇮🇳Nagaland, India

    500 sq mi1,400 km² matching 80% or better

    For example Zunheboto (80), Wokha (78)

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

    🇧🇷CunhaSão Paulo, Brazil

    Zone 10b · No frost · 107 chill hours · 56 in rainZone 10b · No frost · 107 chill hours · 1,425 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  2. 2

    🇧🇷Ouro PretoMinas Gerais, Brazil

    Zone 10b · No frost · 70 chill hours · 57 in rainZone 10b · No frost · 70 chill hours · 1,459 mm rain

    Shares 16 of your 20 great-fit crops

    97%match
  3. 3

    🇧🇷Espera FelizMinas Gerais, Brazil

    Zone 10b · No frost · 86 chill hours · 48 in rainZone 10b · No frost · 86 chill hours · 1,207 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: wine grapes

    97%match
  4. 4

    🇧🇷ParaibunaSão Paulo, Brazil

    Zone 11a · No frost · 15 chill hours · 53 in rainZone 11a · No frost · 15 chill hours · 1,340 mm rain

    Shares 20 of your 20 great-fit crops

    97%match
  5. 5

    🇧🇷Embu das ArtesSão Paulo, Brazil

    Zone 11a · No frost · 14 chill hours · 57 in rainZone 11a · No frost · 14 chill hours · 1,438 mm rain

    Shares 20 of your 20 great-fit crops

    96%match
  6. 6

    🇧🇷Paty do AlferesRio de Janeiro, Brazil

    Zone 11a · No frost · 8 chill hours · 60 in rainZone 11a · No frost · 8 chill hours · 1,517 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: banana, sugarcane, cassava

    96%match
  7. 7

    🇧🇷PiedadeSão Paulo, Brazil

    Zone 10b · No frost · 35 chill hours · 56 in rainZone 10b · No frost · 35 chill hours · 1,419 mm rain

    Shares 18 of your 20 great-fit crops

    96%match
  8. 8

    🇧🇷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 19 of your 20 great-fit crops

    96%match
  9. 9

    🇧🇷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 20 of your 20 great-fit crops

    95%match
  10. 10

    🇧🇷Várzea PaulistaSão Paulo, Brazil

    Zone 11a · No frost · 7 chill hours · 50 in rainZone 11a · No frost · 7 chill hours · 1,273 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: wine grapes

    94%match
  11. 11

    🇧🇷CambuíMinas Gerais, Brazil

    Zone 10b · No frost · 58 chill hours · 57 in rainZone 10b · No frost · 58 chill hours · 1,460 mm rain

    Shares 20 of your 20 great-fit crops

    94%match
  12. 12

    🇧🇷ManhuaçuMinas Gerais, Brazil

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

    Shares 19 of your 20 great-fit crops · Also great there: wine grapes, sugarcane

    94%match
  13. 13

    🇧🇷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 20 of your 20 great-fit crops · Also great there: sugarcane, banana, cassava

    94%match
  14. 14

    🇧🇷IúnaEspírito Santo, Brazil

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

    Shares 19 of your 20 great-fit crops · Also great there: wine grapes, sugarcane, cassava

    94%match
  15. 15

    🇧🇷ViçosaMinas Gerais, Brazil

    Zone 10b · No frost · 32 chill hours · 47 in rainZone 10b · No frost · 32 chill hours · 1,201 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: wine grapes, sugarcane

    94%match
  16. 16

    🇧🇷Passa QuatroMinas Gerais, Brazil

    Zone 10a · Frost 2 years in 10 · 190 chill hours · 56 in rainZone 10a · Frost 2 years in 10 · 190 chill hours · 1,417 mm rain

    Shares 19 of your 20 great-fit crops

    94%match
  17. 17

    🇧🇷Lima DuarteMinas Gerais, Brazil

    Zone 11a · No frost · 5 chill hours · 52 in rainZone 11a · No frost · 5 chill hours · 1,327 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: sugarcane, cassava

    93%match
  18. 18

    🇧🇷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 20 great-fit crops · Also great there: banana

    93%match
  19. 19

    🇧🇷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 19 of your 20 great-fit crops · Also great there: wine grapes

    92%match
  20. 20

    🇧🇷BarbacenaMinas Gerais, Brazil

    Zone 11a · No frost · 8 chill hours · 56 in rainZone 11a · No frost · 8 chill hours · 1,430 mm rain

    Shares 20 of your 20 great-fit crops

    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 Nova Friburgo: 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.