Climatch

Land with a climate like Ribeirão das Neves

🇧🇷Ribeirão das Neves, Minas Gerais, Brazil

The towns with the closest growing climate to Ribeirão das Neves are Nova Serrana, Brazil (99% match), Divinópolis and Carmópolis de Minas. About 494,000 sq mi of land in 18 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 Ribeirão das Neves are Nova Serrana, Brazil (99% match), Divinópolis and Carmópolis de Minas. About 1.3 million km² of land in 18 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 · 0 chill hours · 52 in rainZone 11a · No frost · 0 chill hours · 1,310 mm rain

What grows in Ribeirão das Neves →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    186k sq mi482k km² matching 80% or better

    For example Carmo do Cajuru (99), Nova Serrana (99)

  2. 2

    🇧🇷São Paulo, Brazil

    63k sq mi163k km² matching 80% or better

    For example São José do Rio Pardo (97), Caconde (97)

  3. 3

    🇧🇷Goiás, Brazil

    56k sq mi145k km² matching 80% or better

    For example Ipameri (96), Catalão (96)

  4. 4

    🇻🇳Điện Biên Province, Vietnam

    6,100 sq mi16k km² matching 80% or better

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

  5. 5

    🇨🇩Tanganyika, Democratic Republic of the Congo

    5,700 sq mi15k km² matching 80% or better

    For example Kalima (74), Kalemie (71)

  6. 6

    🇲🇿Manica, Mozambique

    5,400 sq mi14k km² matching 80% or better

    For example Manica (85), Messica (84)

  7. 7

    🇱🇦Xiangkhoang, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Muang Phônsavan (93)

  8. 8

    🇲🇿Maputo Province, Mozambique

    4,800 sq mi13k km² matching 80% or better

    For example Ressano Garcia (84), Boane (80)

  9. 9

    🇲🇲Shan State, Myanmar

    4,500 sq mi12k km² matching 80% or better

    For example Panglong (80), Mu-se (80)

  10. 10

    🇧🇴Santa Cruz Department, Bolivia

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

    For example Camiri (69), San Ignacio de Velasco (61)

  11. 11

    🇱🇦Oudômxai, Laos

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

    For example Muang Xay (78)

  12. 12

    🇱🇦Luang Prabang Province, Laos

    3,100 sq mi8,000 km² matching 80% or better

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

    🇧🇷Nova SerranaMinas Gerais, Brazil

    Zone 11a · No frost · 6 chill hours · 52 in rainZone 11a · No frost · 6 chill hours · 1,331 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  2. 2

    🇧🇷DivinópolisMinas Gerais, Brazil

    Zone 11a · No frost · 3 chill hours · 54 in rainZone 11a · No frost · 3 chill hours · 1,367 mm rain

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

    99%match
  3. 3

    🇧🇷Carmópolis de MinasMinas Gerais, Brazil

    Zone 11a · No frost · 7 chill hours · 56 in rainZone 11a · No frost · 7 chill hours · 1,423 mm rain

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

    99%match
  4. 4

    🇧🇷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 21 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  5. 5

    🇧🇷IbiáMinas Gerais, Brazil

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

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  6. 6

    🇧🇷PompéuMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,167 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  7. 7

    🇧🇷Lagoa da PrataMinas Gerais, Brazil

    Zone 11a · No frost · 18 chill hours · 54 in rainZone 11a · No frost · 18 chill hours · 1,367 mm rain

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

    99%match
  8. 8

    🇧🇷PassosMinas Gerais, Brazil

    Zone 11a · No frost · 7 chill hours · 63 in rainZone 11a · No frost · 7 chill hours · 1,600 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  9. 9

    🇧🇷AbaetéMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,262 mm rain

    Shares 21 of your 22 great-fit crops

    99%match
  10. 10

    🇧🇷PatrocínioMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 64 in rainZone 11b · No frost · 0 chill hours · 1,622 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  11. 11

    🇧🇷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 22 great-fit crops

    99%match
  12. 12

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

    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 22 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  14. 14

    🇧🇷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: tea

    99%match
  15. 15

    🇧🇷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: tea, banana

    98%match
  16. 16

    🇧🇷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: tea

    98%match
  17. 17

    🇧🇷AraxáMinas Gerais, Brazil

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

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    98%match
  18. 18

    🇧🇷SacramentoMinas Gerais, Brazil

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

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    98%match
  19. 19

    🇧🇷ItamarandibaMinas Gerais, Brazil

    Zone 11a · No frost · 4 chill hours · 44 in rainZone 11a · No frost · 4 chill hours · 1,108 mm rain

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

    98%match
  20. 20

    🇧🇷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 20 of your 22 great-fit crops · Also great there: tea, banana

    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 Ribeirão das Neves: 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.