Climatch

Land with a climate like Alpinópolis

🇧🇷Alpinópolis, Minas Gerais, Brazil

The towns with the closest growing climate to Alpinópolis are Caconde, Brazil (99% match), Campo Belo and Lavras. About 385,000 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 Alpinópolis are Caconde, Brazil (99% match), Campo Belo and Lavras. About 997,000 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 10b · No frost · 18 chill hours · 61 in rainZone 10b · No frost · 18 chill hours · 1,556 mm rain

What grows in Alpinópolis →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    129k sq mi335k km² matching 80% or better

    For example Formiga (99), Itapecerica (99)

  2. 2

    🇧🇷São Paulo, Brazil

    71k sq mi183k km² matching 80% or better

    For example Caconde (99), São José do Rio Pardo (99)

  3. 3

    🇧🇷Goiás, Brazil

    30k sq mi79k km² matching 80% or better

    For example Mineiros (92), Catalão (88)

  4. 4

    🇨🇳Yunnan, China

    15k sq mi39k km² matching 80% or better

    For example Nongzhang (84), Yingjiang (84)

  5. 5

    🇲🇲Shan State, Myanmar

    9,400 sq mi24k km² matching 80% or better

    For example Panglong (83), Namhkam (78)

  6. 6

    🇻🇳Điện Biên Province, Vietnam

    5,800 sq mi15k km² matching 80% or better

    For example Mường Lay (65), Dien Bien Phu (61)

  7. 7

    🇱🇦Xiangkhoang, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Muang Phônsavan (90)

  8. 8

    🇮🇳Nagaland, India

    4,000 sq mi10k km² matching 80% or better

    For example Mokokchūng (86), Kohima (84)

  9. 9

    🇱🇦Houaphan, Laos

    3,400 sq mi8,700 km² matching 80% or better

    For example Xam Nua (84)

  10. 10

    🇱🇦Oudômxai, Laos

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

    For example Muang Xay (73)

  11. 11

    🇻🇳Nghệ An Province, Vietnam

    2,300 sq mi5,900 km² matching 80% or better

    For example Bản Na Hỷ (59)

  12. 12

    🇮🇳Manipur, India

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

    For example Phek (84), Churāchāndpur (80)

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

    🇧🇷CacondeSão Paulo, Brazil

    Zone 11a · No frost · 15 chill hours · 58 in rainZone 11a · No frost · 15 chill hours · 1,461 mm rain

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

    99%match
  2. 2

    🇧🇷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: fig

    99%match
  3. 3

    🇧🇷LavrasMinas Gerais, Brazil

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

    Shares 22 of your 23 great-fit crops

    99%match
  4. 4

    🇧🇷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 23 great-fit crops

    99%match
  5. 5

    🇧🇷AraxáMinas Gerais, Brazil

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

    Shares 23 of your 23 great-fit crops

    99%match
  6. 6

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

    99%match
  7. 7

    🇧🇷São GotardoMinas Gerais, Brazil

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

    Shares 22 of your 23 great-fit crops

    99%match
  8. 8

    🇧🇷IbiáMinas Gerais, Brazil

    Zone 11a · No frost · 2 chill hours · 62 in rainZone 11a · No frost · 2 chill hours · 1,564 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  9. 9

    🇧🇷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: fig

    99%match
  10. 10

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

    99%match
  11. 11

    🇧🇷CaetéMinas Gerais, Brazil

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

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

    99%match
  12. 12

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

    99%match
  13. 13

    🇧🇷BambuíMinas Gerais, Brazil

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

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

    99%match
  14. 14

    🇧🇷Carmo do ParanaíbaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,506 mm rain

    Shares 23 of your 23 great-fit crops

    99%match
  15. 15

    🇧🇷Três CoraçõesMinas Gerais, Brazil

    Zone 10b · No frost · 70 chill hours · 55 in rainZone 10b · No frost · 70 chill hours · 1,397 mm rain

    Shares 19 of your 23 great-fit crops · Also great there: fig

    99%match
  16. 16

    🇧🇷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: fig

    99%match
  17. 17

    🇧🇷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: fig

    99%match
  18. 18

    🇧🇷PerdizesMinas Gerais, Brazil

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

    Shares 22 of your 23 great-fit crops

    99%match
  19. 19

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

    99%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 23 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 Alpinópolis: 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.