Climatch

Land with a climate like Santa Rita do Sapucaí

🇧🇷Santa Rita do Sapucaí, Minas Gerais, Brazil

The towns with the closest growing climate to Santa Rita do Sapucaí are Varginha, Brazil (99% match), Caxambu and Alfenas. About 333,000 sq mi of land in 15 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Yunnan, China.The towns with the closest growing climate to Santa Rita do Sapucaí are Varginha, Brazil (99% match), Caxambu and Alfenas. About 862,000 km² of land in 15 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Yunnan, China.

Your growing climate

Zone 10b · No frost · 61 chill hours · 57 in rainZone 10b · No frost · 61 chill hours · 1,436 mm rain

What grows in Santa Rita do Sapucaí →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    100k sq mi260k km² matching 80% or better

    For example Paraguaçu (99), Três Pontas (99)

  2. 2

    🇧🇷São Paulo, Brazil

    72k sq mi186k km² matching 80% or better

    For example Espírito Santo do Pinhal (99), São João da Boa Vista (99)

  3. 3

    🇨🇳Yunnan, China

    28k sq mi72k km² matching 80% or better

    For example Mengzi (86), Lushui (84)

  4. 4

    🇧🇷Paraná, Brazil

    17k sq mi45k km² matching 80% or better

    For example Wenceslau Braz (93), Jacarezinho (92)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    5,200 sq mi14k km² matching 80% or better

    For example Mpumalanga (83), Eshowe (83)

  6. 6

    🇻🇳Điện Biên Province, Vietnam

    4,700 sq mi12k km² matching 80% or better

    For example Mường Lay (59), Dien Bien Phu (54)

  7. 7

    🇲🇲Shan State, Myanmar

    4,700 sq mi12k km² matching 80% or better

    For example Panglong (82), Kutkai (78)

  8. 8

    🇱🇦Xiangkhoang, Laos

    3,900 sq mi10k km² matching 80% or better

    For example Muang Phônsavan (84)

  9. 9

    🇵🇪Cuzco Department, Peru

    2,900 sq mi7,600 km² matching 80% or better

    For example Santa Ana (87), Quillabamba (85)

  10. 10

    🇮🇳Nagaland, India

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

    For example Mokokchūng (85), Kohima (84)

  11. 11

    🇧🇴Santa Cruz Department, Bolivia

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

    For example El Torno (57)

  12. 12

    🇧🇴La Paz Department, Bolivia

    2,300 sq mi6,000 km² matching 80% or better

    For example Caranavi (60)

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

    🇧🇷VarginhaMinas Gerais, Brazil

    Zone 10b · No frost · 54 chill hours · 56 in rainZone 10b · No frost · 54 chill hours · 1,421 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  2. 2

    🇧🇷CaxambuMinas Gerais, Brazil

    Zone 10b · Frost 1 years in 10 · 126 chill hours · 56 in rainZone 10b · Frost 1 years in 10 · 126 chill hours · 1,434 mm rain

    Shares 21 of your 21 great-fit crops

    99%match
  3. 3

    🇧🇷AlfenasMinas Gerais, Brazil

    Zone 10b · No frost · 38 chill hours · 59 in rainZone 10b · No frost · 38 chill hours · 1,491 mm rain

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

    99%match
  4. 4

    🇧🇷LavrasMinas Gerais, Brazil

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

    Shares 20 of your 21 great-fit crops · Also great there: mango, cassava

    99%match
  5. 5

    🇧🇷Campo BeloMinas Gerais, Brazil

    Zone 10b · No frost · 24 chill hours · 58 in rainZone 10b · No frost · 24 chill hours · 1,481 mm rain

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

    99%match
  6. 6

    🇧🇷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 20 of your 21 great-fit crops · Also great there: banana, mango

    99%match
  7. 7

    🇧🇷São João da Boa VistaSão Paulo, Brazil

    Zone 11a · No frost · 5 chill hours · 56 in rainZone 11a · No frost · 5 chill hours · 1,420 mm rain

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

    99%match
  8. 8

    🇧🇷CampestreMinas Gerais, Brazil

    Zone 10b · No frost · 42 chill hours · 63 in rainZone 10b · No frost · 42 chill hours · 1,602 mm rain

    Shares 19 of your 21 great-fit crops

    99%match
  9. 9

    🇧🇷BotucatuSão Paulo, Brazil

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

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

    99%match
  10. 10

    🇧🇷PiumhiMinas Gerais, Brazil

    Zone 10b · No frost · 34 chill hours · 59 in rainZone 10b · No frost · 34 chill hours · 1,501 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: banana, mango

    99%match
  11. 11

    🇧🇷AvaréSão Paulo, Brazil

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

    Shares 20 of your 21 great-fit crops · Also great there: banana, cassava, wine grapes

    99%match
  12. 12

    🇧🇷Mogi GuaçuSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 52 in rainZone 11a · No frost · 4 chill hours · 1,329 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: cassava, mango

    99%match
  13. 13

    🇧🇷São CarlosSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 54 in rainZone 11a · No frost · 2 chill hours · 1,369 mm rain

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

    99%match
  14. 14

    🇧🇷CruzeiroSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 56 in rainZone 11a · No frost · 2 chill hours · 1,416 mm rain

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

    98%match
  15. 15

    🇧🇷São José do Rio PardoSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 55 in rainZone 11a · No frost · 4 chill hours · 1,386 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: cassava, mango, banana

    98%match
  16. 16

    🇧🇷Água RasaMinas Gerais, Brazil

    Zone 10b · No frost · 41 chill hours · 57 in rainZone 10b · No frost · 41 chill hours · 1,448 mm rain

    Shares 21 of your 21 great-fit crops

    98%match
  17. 17

    🇧🇷OliveiraMinas Gerais, Brazil

    Zone 10b · No frost · 18 chill hours · 60 in rainZone 10b · No frost · 18 chill hours · 1,523 mm rain

    Shares 20 of your 21 great-fit crops

    98%match
  18. 18

    🇧🇷São Sebastião do ParaísoMinas Gerais, Brazil

    Zone 11a · No frost · 5 chill hours · 61 in rainZone 11a · No frost · 5 chill hours · 1,559 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: banana, cassava, mango

    98%match
  19. 19

    🇧🇷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 21 great-fit crops

    98%match
  20. 20

    🇧🇷MaríliaSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 50 in rainZone 11a · No frost · 4 chill hours · 1,273 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: banana, cassava, mango

    98%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 Rita do Sapucaí: 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.