Climatch

Land with a climate like Vargem Grande do Sul

🇧🇷Vargem Grande do Sul, São Paulo, Brazil

The towns with the closest growing climate to Vargem Grande do Sul are Cajuru, Brazil (99% match), Descalvado and São Pedro. About 516,000 sq mi of land in 19 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Vargem Grande do Sul are Cajuru, Brazil (99% match), Descalvado and São Pedro. About 1.3 million km² of land in 19 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

Zone 11a · No frost · 4 chill hours · 53 in rainZone 11a · No frost · 4 chill hours · 1,344 mm rain

What grows in Vargem Grande do Sul →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    144k sq mi373k km² matching 80% or better

    For example Alfenas (99), Campos Gerais (99)

  2. 2

    🇧🇷São Paulo, Brazil

    81k sq mi209k km² matching 80% or better

    For example Araras (99), Américo Brasiliense (99)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    53k sq mi138k km² matching 80% or better

    For example Chapadão do Sul (97), Aparecida do Taboado (94)

  4. 4

    🇨🇳Yunnan, China

    21k sq mi54k km² matching 80% or better

    For example Mengman (86), Menghuan (84)

  5. 5

    🇲🇲Shan State, Myanmar

    14k sq mi37k km² matching 80% or better

    For example Panglong (83), Kēng Tung (80)

  6. 6

    🇿🇦KwaZulu-Natal, South Africa

    8,600 sq mi22k km² matching 80% or better

    For example Ulundi (84), Ncotshane (82)

  7. 7

    🇻🇳Điện Biên Province, Vietnam

    6,700 sq mi17k km² matching 80% or better

    For example Mường Lay (70), Dien Bien Phu (69)

  8. 8

    🇧🇴Santa Cruz Department, Bolivia

    5,700 sq mi15k km² matching 80% or better

    For example El Torno (76), San Ignacio de Velasco (66)

  9. 9

    🇱🇦Xiangkhoang, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Muang Phônsavan (92)

  10. 10

    🇱🇦Oudômxai, Laos

    4,800 sq mi12k km² matching 80% or better

    For example Muang Xay (82)

  11. 11

    🇱🇦Luang Prabang Province, Laos

    4,200 sq mi11k km² matching 80% or better

    For example Luang Prabang (56)

  12. 12

    🇲🇿Maputo Province, Mozambique

    3,500 sq mi9,100 km² matching 80% or better

    For example Manhiça (80), Ressano Garcia (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

    🇧🇷CajuruSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,469 mm rain

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

    99%match
  2. 2

    🇧🇷DescalvadoSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 51 in rainZone 11a · No frost · 0 chill hours · 1,299 mm rain

    Shares 21 of your 23 great-fit crops

    99%match
  3. 3

    🇧🇷São PedroSão Paulo, Brazil

    Zone 11a · No frost · 1 chill hours · 50 in rainZone 11a · No frost · 1 chill hours · 1,277 mm rain

    Shares 22 of your 23 great-fit crops

    99%match
  4. 4

    🇧🇷CravinhosSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 57 in rainZone 11a · No frost · 0 chill hours · 1,441 mm rain

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

    99%match
  5. 5

    🇧🇷JaúSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,243 mm rain

    Shares 22 of your 23 great-fit crops

    99%match
  6. 6

    🇧🇷AlfenasMinas Gerais, Brazil

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

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

    99%match
  7. 7

    🇧🇷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 23 of your 23 great-fit crops · Also great there: tea

    99%match
  8. 8

    🇧🇷PiracicabaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,230 mm rain

    Shares 22 of your 23 great-fit crops

    99%match
  9. 9

    🇧🇷BatataisSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 61 in rainZone 11a · No frost · 0 chill hours · 1,557 mm rain

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

    99%match
  10. 10

    🇧🇷LavrasMinas Gerais, Brazil

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

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

    99%match
  11. 11

    🇧🇷Pouso AlegreMinas Gerais, Brazil

    Zone 10b · No frost · 31 chill hours · 59 in rainZone 10b · No frost · 31 chill hours · 1,502 mm rain

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

    99%match
  12. 12

    🇧🇷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 23 of your 23 great-fit crops · Also great there: tea

    99%match
  13. 13

    🇧🇷PassosMinas Gerais, Brazil

    Zone 11a · No frost · 7 chill hours · 63 in rainZone 11a · No frost · 7 chill hours · 1,600 mm rain

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

    99%match
  14. 14

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

    99%match
  15. 15

    🇧🇷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 22 of your 23 great-fit crops · Also great there: tea

    99%match
  16. 16

    🇧🇷VarginhaMinas Gerais, Brazil

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

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

    99%match
  17. 17

    🇧🇷São Gonçalo do SapucaíMinas Gerais, Brazil

    Zone 10b · No frost · 63 chill hours · 57 in rainZone 10b · No frost · 63 chill hours · 1,444 mm rain

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

    99%match
  18. 18

    🇧🇷Lençóis PaulistaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,185 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  19. 19

    🇧🇷CampinasSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,256 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  20. 20

    🇧🇷AparecidaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 52 in rainZone 11a · No frost · 0 chill hours · 1,313 mm rain

    Shares 22 of your 23 great-fit crops

    99%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 Vargem Grande do Sul: 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.