Climatch

Land with a climate like Machado

🇧🇷Machado, Minas Gerais, Brazil

The towns with the closest growing climate to Machado are Carmo do Rio Claro, Brazil (99% match), Lavras and São João da Boa Vista. About 338,000 sq mi of land in 15 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 Machado are Carmo do Rio Claro, Brazil (99% match), Lavras and São João da Boa Vista. About 874,000 km² of land in 15 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 10b · No frost · 33 chill hours · 60 in rainZone 10b · No frost · 33 chill hours · 1,533 mm rain

What grows in Machado →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    107k sq mi277k km² matching 80% or better

    For example Andradas (99), Ouro Fino (99)

  2. 2

    🇧🇷São Paulo, Brazil

    76k sq mi198k km² matching 80% or better

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

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    21k sq mi55k km² matching 80% or better

    For example Chapadão do Sul (94), Costa Rica (86)

  4. 4

    🇨🇳Yunnan, China

    17k sq mi44k km² matching 80% or better

    For example Pu'er (83), Meng’a (82)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    4,400 sq mi12k km² matching 80% or better

    For example Eshowe (82), Mpumalanga (81)

  6. 6

    🇱🇦Xiangkhoang, Laos

    3,700 sq mi9,500 km² matching 80% or better

    For example Muang Phônsavan (84)

  7. 7

    🇲🇲Shan State, Myanmar

    3,100 sq mi7,900 km² matching 80% or better

    For example Panglong (80), Kutkai (75)

  8. 8

    🇵🇪Cuzco Department, Peru

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

    For example Santa Ana (90), Quillabamba (87)

  9. 9

    🇻🇳Điện Biên Province, Vietnam

    2,800 sq mi7,200 km² matching 80% or better

    For example Mường Lay (58), Dien Bien Phu (53)

  10. 10

    🇵🇪Junin, Peru

    2,600 sq mi6,800 km² matching 80% or better

    For example San Martín de Pangoa (67), Satipo (65)

  11. 11

    🇧🇴La Paz Department, Bolivia

    2,600 sq mi6,700 km² matching 80% or better

    For example Caranavi (66)

  12. 12

    🇧🇴Santa Cruz Department, Bolivia

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

    For example El Torno (61)

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

    🇧🇷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 22 of your 22 great-fit crops

    99%match
  2. 2

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

    99%match
  3. 3

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

    99%match
  4. 4

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

    99%match
  5. 5

    🇧🇷ItajubáMinas Gerais, Brazil

    Zone 10b · No frost · 87 chill hours · 57 in rainZone 10b · No frost · 87 chill hours · 1,449 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: fig

    99%match
  6. 6

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

    99%match
  7. 7

    🇧🇷PiumhiMinas Gerais, Brazil

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

    Shares 22 of your 22 great-fit crops

    99%match
  8. 8

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

    99%match
  9. 9

    🇧🇷CajuruSão Paulo, Brazil

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

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

    99%match
  10. 10

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

    99%match
  11. 11

    🇧🇷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 22 great-fit crops · Also great there: cassava, fig

    99%match
  12. 12

    🇧🇷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 22 great-fit crops

    99%match
  13. 13

    🇧🇷CruzeiroSão Paulo, Brazil

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

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

    99%match
  14. 14

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

    99%match
  15. 15

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

    98%match
  16. 16

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

    98%match
  17. 17

    🇧🇷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 22 great-fit crops · Also great there: fig, cassava, wine grapes

    98%match
  18. 18

    🇧🇷CravinhosSão Paulo, Brazil

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

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

    98%match
  19. 19

    🇧🇷CambuíMinas Gerais, Brazil

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

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

    98%match
  20. 20

    🇧🇷JaúSão Paulo, Brazil

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

    Shares 20 of your 22 great-fit crops · Also great there: cassava, fig

    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 Machado: 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.