Climatch

Land with a climate like São Gotardo

🇧🇷São Gotardo, Minas Gerais, Brazil

The towns with the closest growing climate to São Gotardo are Água Rasa, Brazil (99% match), Araxá and Oliveira. About 317,000 sq mi of land in 17 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Goiás, Brazil.The towns with the closest growing climate to São Gotardo are Água Rasa, Brazil (99% match), Araxá and Oliveira. About 821,000 km² of land in 17 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Goiás, Brazil.

Your growing climate

Zone 11a · No frost · 8 chill hours · 61 in rainZone 11a · No frost · 8 chill hours · 1,557 mm rain

What grows in São Gotardo →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    124k sq mi321k km² matching 80% or better

    For example Itapecerica (99), Água Rasa (99)

  2. 2

    🇧🇷São Paulo, Brazil

    47k sq mi122k km² matching 80% or better

    For example Caconde (99), Pedregulho (97)

  3. 3

    🇧🇷Goiás, Brazil

    28k sq mi73k km² matching 80% or better

    For example Cristalina (93), Mineiros (90)

  4. 4

    🇨🇳Yunnan, China

    10k sq mi26k km² matching 80% or better

    For example Nongzhang (81), Mengzi (81)

  5. 5

    🇲🇲Shan State, Myanmar

    9,100 sq mi24k km² matching 80% or better

    For example Panglong (80), Heho (79)

  6. 6

    🇱🇦Xiangkhoang, Laos

    4,500 sq mi12k km² matching 80% or better

    For example Muang Phônsavan (87)

  7. 7

    🇲🇽Chiapas, Mexico

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

    For example Teopisca (85), Motozintla (84)

  8. 8

    🇨🇩South Kivu, Democratic Republic of the Congo

    2,400 sq mi6,200 km² matching 80% or better

    For example Bukavu (80), Kabare (71)

  9. 9

    🇧🇮Gitega, Burundi

    2,400 sq mi6,200 km² matching 80% or better

    For example Gitega (86), Zanandore (83)

  10. 10

    🇮🇳Mizoram, India

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

    For example Ngūr (80), Aizawl (79)

  11. 11

    🇻🇳Điện Biên Province, Vietnam

    1,900 sq mi5,000 km² matching 80% or better

    For example Mường Lay (55), Dien Bien Phu (51)

  12. 12

    🇨🇩Tanganyika, Democratic Republic of the Congo

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

    For example Kalima (56), Pepa (55)

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

    🇧🇷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
  2. 2

    🇧🇷AraxáMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 66 in rainZone 11a · No frost · 0 chill hours · 1,678 mm rain

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

    99%match
  3. 3

    🇧🇷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
  4. 4

    🇧🇷Santo Antônio do MonteMinas Gerais, Brazil

    Zone 10b · No frost · 28 chill hours · 55 in rainZone 10b · No frost · 28 chill hours · 1,388 mm rain

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

    99%match
  5. 5

    🇧🇷PiumhiMinas Gerais, Brazil

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

    Shares 21 of your 22 great-fit crops · Also great there: mango

    99%match
  6. 6

    🇧🇷Conselheiro LafaieteMinas Gerais, Brazil

    Zone 11a · No frost · 14 chill hours · 54 in rainZone 11a · No frost · 14 chill hours · 1,366 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: fig

    99%match
  7. 7

    🇧🇷PerdizesMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 66 in rainZone 11a · No frost · 0 chill hours · 1,669 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: mango

    99%match
  8. 8

    🇧🇷CaetéMinas Gerais, Brazil

    Zone 11a · No frost · 3 chill hours · 54 in rainZone 11a · No frost · 3 chill hours · 1,373 mm rain

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

    99%match
  9. 9

    🇧🇷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: mango, fig

    99%match
  10. 10

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

    99%match
  11. 11

    🇧🇷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: mango

    99%match
  12. 12

    🇧🇷ItaúnaMinas Gerais, Brazil

    Zone 11a · No frost · 2 chill hours · 55 in rainZone 11a · No frost · 2 chill hours · 1,388 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: mango, fig

    99%match
  13. 13

    🇧🇷São João del ReiMinas Gerais, Brazil

    Zone 11a · No frost · 12 chill hours · 56 in rainZone 11a · No frost · 12 chill hours · 1,425 mm rain

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

    99%match
  14. 14

    🇧🇷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: mango

    99%match
  15. 15

    🇧🇷GuaxupéMinas Gerais, Brazil

    Zone 11a · No frost · 10 chill hours · 58 in rainZone 11a · No frost · 10 chill hours · 1,471 mm rain

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

    99%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: mango

    99%match
  17. 17

    🇧🇷BambuíMinas Gerais, Brazil

    Zone 10b · No frost · 43 chill hours · 55 in rainZone 10b · No frost · 43 chill hours · 1,397 mm rain

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

    99%match
  18. 18

    🇧🇷ItabiraMinas Gerais, Brazil

    Zone 10b · No frost · 18 chill hours · 54 in rainZone 10b · No frost · 18 chill hours · 1,364 mm rain

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

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

    98%match
  20. 20

    🇧🇷SacramentoMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,644 mm rain

    Shares 22 of your 22 great-fit crops · Also great there: 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 São Gotardo: 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.