Climatch

Land with a climate like Bom Despacho

🇧🇷Bom Despacho, Minas Gerais, Brazil

The towns with the closest growing climate to Bom Despacho are Betim, Brazil (99% match), Itaúna and Cláudio. About 524,000 sq mi of land in 16 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 Bom Despacho are Betim, Brazil (99% match), Itaúna and Cláudio. About 1.4 million km² of land in 16 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 · 7 chill hours · 52 in rainZone 11a · No frost · 7 chill hours · 1,330 mm rain

What grows in Bom Despacho →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    185k sq mi479k km² matching 80% or better

    For example Juatuba (99), Esmeraldas (99)

  2. 2

    🇧🇷São Paulo, Brazil

    61k sq mi159k km² matching 80% or better

    For example Mococa (97), Santa Rosa de Viterbo (97)

  3. 3

    🇧🇷Goiás, Brazil

    60k sq mi155k km² matching 80% or better

    For example Ipameri (98), Catalão (96)

  4. 4

    🇲🇲Shan State, Myanmar

    19k sq mi50k km² matching 80% or better

    For example Mu-se (83), Panglong (82)

  5. 5

    🇲🇿Manica, Mozambique

    5,400 sq mi14k km² matching 80% or better

    For example Messica (84), Manica (84)

  6. 6

    🇨🇩Tanganyika, Democratic Republic of the Congo

    5,400 sq mi14k km² matching 80% or better

    For example Kalima (75), Kalemie (72)

  7. 7

    🇻🇳Điện Biên Province, Vietnam

    5,300 sq mi14k km² matching 80% or better

    For example Mường Lay (68), Dien Bien Phu (68)

  8. 8

    🇱🇦Xiangkhoang, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Muang Phônsavan (92)

  9. 9

    🇲🇿Maputo Province, Mozambique

    4,300 sq mi11k km² matching 80% or better

    For example Ressano Garcia (82), Boane (79)

  10. 10

    🇱🇦Oudômxai, Laos

    3,600 sq mi9,400 km² matching 80% or better

    For example Muang Xay (80)

  11. 11

    🇱🇦Luang Prabang Province, Laos

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

    For example Luang Prabang (54)

  12. 12

    🇨🇳Yunnan, China

    3,300 sq mi8,600 km² matching 80% or better

    For example Mengmao (84), Taiping (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

    🇧🇷BetimMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 54 in rainZone 11a · No frost · 0 chill hours · 1,381 mm rain

    Shares 22 of your 23 great-fit crops

    99%match
  2. 2

    🇧🇷ItaúnaMinas Gerais, Brazil

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

    Shares 23 of your 23 great-fit crops

    99%match
  3. 3

    🇧🇷CláudioMinas Gerais, Brazil

    Zone 11a · No frost · 6 chill hours · 55 in rainZone 11a · No frost · 6 chill hours · 1,395 mm rain

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

    99%match
  4. 4

    🇧🇷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: tea

    99%match
  5. 5

    🇧🇷Belo HorizonteMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 56 in rainZone 11a · No frost · 0 chill hours · 1,428 mm rain

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

    99%match
  6. 6

    🇧🇷FormigaMinas Gerais, Brazil

    Zone 10b · No frost · 30 chill hours · 55 in rainZone 10b · No frost · 30 chill hours · 1,409 mm rain

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

    99%match
  7. 7

    🇧🇷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
  8. 8

    🇧🇷ParaopebaMinas Gerais, Brazil

    Zone 11a · No frost · 1 chill hours · 44 in rainZone 11a · No frost · 1 chill hours · 1,117 mm rain

    Shares 22 of your 23 great-fit crops

    99%match
  9. 9

    🇧🇷IbiáMinas Gerais, Brazil

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

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

    99%match
  10. 10

    🇧🇷JaboticatubasMinas Gerais, Brazil

    Zone 11a · No frost · 2 chill hours · 49 in rainZone 11a · No frost · 2 chill hours · 1,233 mm rain

    Shares 22 of your 23 great-fit crops

    99%match
  11. 11

    🇧🇷IpameriGoiás, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,473 mm rain

    Shares 22 of your 23 great-fit crops

    98%match
  12. 12

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

    98%match
  13. 13

    🇧🇷Conceição do Mato DentroMinas Gerais, Brazil

    Zone 11a · No frost · 9 chill hours · 51 in rainZone 11a · No frost · 9 chill hours · 1,298 mm rain

    Shares 22 of your 23 great-fit crops

    98%match
  14. 14

    🇧🇷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

    98%match
  15. 15

    🇧🇷TupaciguaraMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,547 mm rain

    Shares 21 of your 23 great-fit crops

    97%match
  16. 16

    🇧🇷MococaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 54 in rainZone 11a · No frost · 2 chill hours · 1,371 mm rain

    Shares 22 of your 23 great-fit crops

    97%match
  17. 17

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

    97%match
  18. 18

    🇧🇷Patos de MinasMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,443 mm rain

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

    97%match
  19. 19

    🇧🇷Ponte NovaMinas Gerais, Brazil

    Zone 11a · No frost · 2 chill hours · 45 in rainZone 11a · No frost · 2 chill hours · 1,152 mm rain

    Shares 22 of your 23 great-fit crops

    97%match
  20. 20

    🇧🇷CurveloMinas Gerais, Brazil

    Zone 11a · No frost · 2 chill hours · 41 in rainZone 11a · No frost · 2 chill hours · 1,049 mm rain

    Shares 20 of your 23 great-fit crops

    97%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 Bom Despacho: 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.