Climatch

Land with a climate like Cambuí

🇧🇷Cambuí, Minas Gerais, Brazil

The towns with the closest growing climate to Cambuí are Botucatu, Brazil (99% match), São Lourenço and Itapetininga. About 289,000 sq mi of land in 20 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 Cambuí are Botucatu, Brazil (99% match), São Lourenço and Itapetininga. About 748,000 km² of land in 20 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 · 58 chill hours · 57 in rainZone 10b · No frost · 58 chill hours · 1,460 mm rain

What grows in Cambuí →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    77k sq mi200k km² matching 80% or better

    For example Passa Quatro (99), São Lourenço (99)

  2. 2

    🇧🇷São Paulo, Brazil

    58k sq mi149k km² matching 80% or better

    For example Botucatu (99), Itatiba (99)

  3. 3

    🇧🇷Paraná, Brazil

    37k sq mi96k km² matching 80% or better

    For example Wenceslau Braz (94), Sengés (94)

  4. 4

    🇨🇳Yunnan, China

    23k sq mi60k km² matching 80% or better

    For example Mengzi (88), Wenshan City (85)

  5. 5

    🇮🇳Nagaland, India

    5,600 sq mi15k km² matching 80% or better

    For example Mokokchūng (86), Kohima (86)

  6. 6

    🇿🇦KwaZulu-Natal, South Africa

    5,200 sq mi14k km² matching 80% or better

    For example Eshowe (86), Pinetown (84)

  7. 7

    🇱🇦Xiangkhoang, Laos

    2,500 sq mi6,600 km² matching 80% or better

    For example Muang Phônsavan (74)

  8. 8

    🇻🇳Điện Biên Province, Vietnam

    2,200 sq mi5,800 km² matching 80% or better

    For example Mường Lay (53)

  9. 9

    🇻🇳Lai Châu Province, Vietnam

    2,200 sq mi5,700 km² matching 80% or better

    For example Lai Châu (86)

  10. 10

    🇮🇳Manipur, India

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

    For example Phek (84), Ukhrul (77)

  11. 11

    🇵🇪San Martín Department, Peru

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

  12. 12

    🇵🇪Junin, Peru

    2,100 sq mi5,300 km² matching 80% or better

    For example San Martín de Pangoa (54), Satipo (53)

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

    🇧🇷BotucatuSão Paulo, Brazil

    Zone 11a · No frost · 13 chill hours · 51 in rainZone 11a · No frost · 13 chill hours · 1,306 mm rain

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

    99%match
  2. 2

    🇧🇷São LourençoMinas Gerais, Brazil

    Zone 10a · Frost 1 years in 10 · 159 chill hours · 57 in rainZone 10a · Frost 1 years in 10 · 159 chill hours · 1,452 mm rain

    Shares 19 of your 20 great-fit crops

    99%match
  3. 3

    🇧🇷ItapetiningaSão Paulo, Brazil

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

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

    99%match
  4. 4

    🇧🇷AvaréSão Paulo, Brazil

    Zone 11a · No frost · 8 chill hours · 49 in rainZone 11a · No frost · 8 chill hours · 1,233 mm rain

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

    99%match
  5. 5

    🇧🇷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
  6. 6

    🇧🇷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

    98%match
  7. 7

    🇧🇷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

    98%match
  8. 8

    🇧🇷SorocabaSão Paulo, Brazil

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

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

    98%match
  9. 9

    🇧🇷Três PontasMinas Gerais, Brazil

    Zone 10b · No frost · 56 chill hours · 56 in rainZone 10b · No frost · 56 chill hours · 1,418 mm rain

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

    97%match
  10. 10

    🇧🇷Dois CórregosSão Paulo, Brazil

    Zone 11a · No frost · 3 chill hours · 49 in rainZone 11a · No frost · 3 chill hours · 1,253 mm rain

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

    97%match
  11. 11

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

    97%match
  12. 12

    🇧🇷Carmo do Rio ClaroMinas Gerais, Brazil

    Zone 10b · No frost · 25 chill hours · 60 in rainZone 10b · No frost · 25 chill hours · 1,523 mm rain

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

    97%match
  13. 13

    🇧🇷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

    97%match
  14. 14

    🇧🇷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

    97%match
  15. 15

    🇧🇷LavrasMinas Gerais, Brazil

    Zone 10b · No frost · 18 chill hours · 60 in rainZone 10b · No frost · 18 chill hours · 1,514 mm rain

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

    97%match
  16. 16

    🇧🇷Juiz de ForaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 54 in rainZone 11a · No frost · 0 chill hours · 1,384 mm rain

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

    97%match
  17. 17

    🇧🇷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

    97%match
  18. 18

    🇧🇷Pilar do SulSão Paulo, Brazil

    Zone 10b · No frost · 22 chill hours · 49 in rainZone 10b · No frost · 22 chill hours · 1,237 mm rain

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

    97%match
  19. 19

    🇧🇷Poços de CaldasMinas Gerais, Brazil

    Zone 10b · No frost · 73 chill hours · 64 in rainZone 10b · No frost · 73 chill hours · 1,637 mm rain

    Shares 17 of your 20 great-fit crops

    97%match
  20. 20

    🇧🇷Santa IsabelSão Paulo, Brazil

    Zone 11a · No frost · 5 chill hours · 52 in rainZone 11a · No frost · 5 chill hours · 1,330 mm rain

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

    96%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 Cambuí: 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.