Climatch

Land with a climate like Borda da Mata

🇧🇷Borda da Mata, Minas Gerais, Brazil

The towns with the closest growing climate to Borda da Mata are Itajubá, Brazil (99% match), Botucatu and Alfenas. About 337,000 sq mi of land in 17 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Paraná, Brazil.The towns with the closest growing climate to Borda da Mata are Itajubá, Brazil (99% match), Botucatu and Alfenas. About 873,000 km² of land in 17 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Paraná, Brazil.

Your growing climate

Zone 10b · No frost · 35 chill hours · 59 in rainZone 10b · No frost · 35 chill hours · 1,504 mm rain

What grows in Borda da Mata →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    93k sq mi241k km² matching 80% or better

    For example Itajubá (99), Paraguaçu (99)

  2. 2

    🇧🇷São Paulo, Brazil

    74k sq mi191k km² matching 80% or better

    For example Botucatu (99), Itirapina (99)

  3. 3

    🇧🇷Paraná, Brazil

    26k sq mi68k km² matching 80% or better

    For example Wenceslau Braz (94), Sengés (93)

  4. 4

    🇨🇳Yunnan, China

    23k sq mi60k km² matching 80% or better

    For example Pu'er (84), Mengzi (84)

  5. 5

    🇿🇦KwaZulu-Natal, South Africa

    7,600 sq mi20k km² matching 80% or better

    For example Eshowe (86), Pinetown (84)

  6. 6

    🇻🇳Điện Biên Province, Vietnam

    3,900 sq mi10k km² matching 80% or better

    For example Mường Lay (57), Dien Bien Phu (51)

  7. 7

    🇱🇦Xiangkhoang, Laos

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

    For example Muang Phônsavan (81)

  8. 8

    🇵🇪Junin, Peru

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

    For example San Martín de Pangoa (65), Satipo (64)

  9. 9

    🇵🇪Cuzco Department, Peru

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

    For example Santa Ana (87), Quillabamba (84)

  10. 10

    🇧🇴Santa Cruz Department, Bolivia

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

    For example El Torno (59)

  11. 11

    🇲🇲Shan State, Myanmar

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

    For example Panglong (79), Kutkai (75)

  12. 12

    🇮🇳Nagaland, India

    2,400 sq mi6,300 km² matching 80% or better

    For example Mokokchūng (84), Kohima (83)

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

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

    99%match
  2. 2

    🇧🇷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: fig

    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, fig

    99%match
  4. 4

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

    99%match
  5. 5

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

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

    99%match
  8. 8

    🇧🇷Dois CórregosSão Paulo, Brazil

    Zone 11a · No frost · 3 chill hours · 49 in rainZone 11a · No frost · 3 chill hours · 1,253 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: fig, cassava, mango

    99%match
  9. 9

    🇧🇷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: fig, cassava, wine grapes

    99%match
  10. 10

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

    99%match
  11. 11

    🇧🇷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, cassava, fig

    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 19 of your 21 great-fit crops · Also great there: cassava, mango, fig

    99%match
  13. 13

    🇧🇷Vargem Grande do SulSão Paulo, Brazil

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

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

    99%match
  14. 14

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

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

    99%match
  16. 16

    🇧🇷CampinasSão Paulo, Brazil

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

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

    98%match
  17. 17

    🇧🇷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, fig

    98%match
  18. 18

    🇧🇷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: cassava, fig, 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 19 of your 21 great-fit crops · Also great there: fig

    98%match
  20. 20

    🇧🇷AngatubaSão Paulo, Brazil

    Zone 11a · No frost · 5 chill hours · 47 in rainZone 11a · No frost · 5 chill hours · 1,187 mm rain

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

    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 Borda da Mata: 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.