Climatch

Land with a climate like Paraopeba

🇧🇷Paraopeba, Minas Gerais, Brazil

The towns with the closest growing climate to Paraopeba are Santa Luzia, Brazil (99% match), Abaeté and Betim. About 465,000 sq mi of land in 17 countries matches 80% or better, most of it in Minas Gerais, Brazil, Goiás, Brazil and São Paulo, Brazil.The towns with the closest growing climate to Paraopeba are Santa Luzia, Brazil (99% match), Abaeté and Betim. About 1.2 million km² of land in 17 countries matches 80% or better, most of it in Minas Gerais, Brazil, Goiás, Brazil and São Paulo, Brazil.

Your growing climate

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

What grows in Paraopeba →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    185k sq mi480k km² matching 80% or better

    For example Santa Luzia (99), Abaeté (99)

  2. 2

    🇧🇷Goiás, Brazil

    60k sq mi156k km² matching 80% or better

    For example Ipameri (96), Catalão (95)

  3. 3

    🇧🇷São Paulo, Brazil

    46k sq mi120k km² matching 80% or better

    For example Ituverava (93), Mococa (93)

  4. 4

    🇨🇩Tanganyika, Democratic Republic of the Congo

    7,700 sq mi20k km² matching 80% or better

    For example Nyunzu (75), Kalima (75)

  5. 5

    🇲🇿Manica, Mozambique

    6,800 sq mi18k km² matching 80% or better

    For example Manica (87), Messica (87)

  6. 6

    🇧🇴Santa Cruz Department, Bolivia

    5,300 sq mi14k km² matching 80% or better

    For example Camiri (80), San Ignacio de Velasco (59)

  7. 7

    🇲🇿Maputo Province, Mozambique

    4,800 sq mi13k km² matching 80% or better

    For example Ressano Garcia (88), Boane (83)

  8. 8

    🇱🇦Xiangkhoang, Laos

    4,800 sq mi12k km² matching 80% or better

    For example Muang Phônsavan (90)

  9. 9

    🇿🇦Mpumalanga, South Africa

    4,100 sq mi10k km² matching 80% or better

    For example Komatipoort (83), Kamaqhekeza (81)

  10. 10

    🇲🇲Shan State, Myanmar

    2,800 sq mi7,200 km² matching 80% or better

    For example Tangyan (80), Mu-se (79)

  11. 11

    🇲🇽Oaxaca, Mexico

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

    For example Miahuatlán de Porfirio Díaz (78), Ocotlán de Morelos (70)

  12. 12

    🇱🇦Luang Prabang Province, Laos

    2,500 sq mi6,600 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

    🇧🇷Santa LuziaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,246 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  2. 2

    🇧🇷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
  3. 3

    🇧🇷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 22 great-fit crops

    99%match
  4. 4

    🇧🇷CorintoMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 37 in rainZone 11a · No frost · 0 chill hours · 946 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: table and raisin grapes

    99%match
  5. 5

    🇧🇷Carmo do CajuruMinas Gerais, Brazil

    Zone 11a · No frost · 4 chill hours · 53 in rainZone 11a · No frost · 4 chill hours · 1,348 mm rain

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

    99%match
  6. 6

    🇧🇷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
  7. 7

    🇧🇷Coração de JesusMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 41 in rainZone 11a · No frost · 0 chill hours · 1,042 mm rain

    Shares 21 of your 22 great-fit crops

    98%match
  8. 8

    🇧🇷Presidente OlegárioMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,449 mm rain

    Shares 22 of your 22 great-fit crops

    97%match
  9. 9

    🇧🇷Monte CarmeloMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,566 mm rain

    Shares 21 of your 22 great-fit crops

    97%match
  10. 10

    🇧🇷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

    97%match
  11. 11

    🇧🇷Três MariasMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 40 in rainZone 11b · No frost · 0 chill hours · 1,014 mm rain

    Shares 20 of your 22 great-fit crops

    97%match
  12. 12

    🇧🇷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

    96%match
  13. 13

    🇧🇷CoromandelMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 63 in rainZone 11b · No frost · 0 chill hours · 1,591 mm rain

    Shares 21 of your 22 great-fit crops

    96%match
  14. 14

    🇧🇷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

    96%match
  15. 15

    🇧🇷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 22 great-fit crops

    96%match
  16. 16

    🇧🇷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

    96%match
  17. 17

    🇧🇷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

    96%match
  18. 18

    🇧🇷João PinheiroMinas Gerais, Brazil

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

    Shares 21 of your 22 great-fit crops

    96%match
  19. 19

    🇧🇷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 22 great-fit crops

    96%match
  20. 20

    🇧🇷TaiobeirasMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 30 in rainZone 11a · No frost · 0 chill hours · 763 mm rain

    Shares 19 of your 22 great-fit crops · Also great there: table and raisin grapes, wine grapes

    96%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 Paraopeba: 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.