Climatch

Land with a climate like Pompéu

🇧🇷Pompéu, Minas Gerais, Brazil

The towns with the closest growing climate to Pompéu are Sete Lagoas, Brazil (99% match), Sabará and Corinto. About 535,000 sq mi of land in 16 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 Pompéu are Sete Lagoas, Brazil (99% match), Sabará and Corinto. About 1.4 million km² of land in 16 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 · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,167 mm rain

What grows in Pompéu →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    186k sq mi482k km² matching 80% or better

    For example Vespasiano (99), São José da Lapa (99)

  2. 2

    🇧🇷Goiás, Brazil

    76k sq mi198k km² matching 80% or better

    For example Ipameri (99), Pires do Rio (97)

  3. 3

    🇧🇷São Paulo, Brazil

    46k sq mi118k km² matching 80% or better

    For example Ituverava (94), Igarapava (94)

  4. 4

    🇨🇩Tanganyika, Democratic Republic of the Congo

    10k sq mi27k km² matching 80% or better

    For example Kalima (81), Nyunzu (81)

  5. 5

    🇲🇿Manica, Mozambique

    6,500 sq mi17k km² matching 80% or better

    For example Messica (86), Manica (85)

  6. 6

    🇲🇲Shan State, Myanmar

    6,400 sq mi17k km² matching 80% or better

    For example Tangyan (81), Mu-se (80)

  7. 7

    🇱🇦Xiangkhoang, Laos

    4,500 sq mi12k km² matching 80% or better

    For example Muang Phônsavan (90)

  8. 8

    🇲🇿Maputo Province, Mozambique

    4,300 sq mi11k km² matching 80% or better

    For example Ressano Garcia (87), Boane (84)

  9. 9

    🇧🇴Santa Cruz Department, Bolivia

    4,200 sq mi11k km² matching 80% or better

    For example Camiri (80), San Ignacio de Velasco (68)

  10. 10

    🇹🇿Kigoma, Tanzania

    4,200 sq mi11k km² matching 80% or better

    For example Kasulu (79), Kibondo (79)

  11. 11

    🇱🇦Luang Prabang Province, Laos

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

    For example Luang Prabang (55)

  12. 12

    🇲🇽Oaxaca, Mexico

    3,200 sq mi8,200 km² matching 80% or better

    For example Miahuatlán de Porfirio Díaz (75), Ocotlán de Morelos (68)

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

    🇧🇷Sete LagoasMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,233 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  2. 2

    🇧🇷SabaráMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 52 in rainZone 11a · No frost · 0 chill hours · 1,315 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  3. 3

    🇧🇷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
  4. 4

    🇧🇷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
  5. 5

    🇧🇷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

    99%match
  6. 6

    🇧🇷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

    98%match
  7. 7

    🇧🇷ParacatuMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,357 mm rain

    Shares 21 of your 22 great-fit crops

    98%match
  8. 8

    🇧🇷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

    98%match
  9. 9

    🇧🇷VazanteMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,424 mm rain

    Shares 21 of your 22 great-fit crops

    98%match
  10. 10

    🇧🇷ItaúnaMinas Gerais, Brazil

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

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

    98%match
  11. 11

    🇧🇷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

    98%match
  12. 12

    🇧🇷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

    97%match
  13. 13

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

    97%match
  14. 14

    🇧🇷Pires do RioGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 58 in rainZone 11b · No frost · 0 chill hours · 1,483 mm rain

    Shares 22 of your 22 great-fit crops

    97%match
  15. 15

    🇧🇷CatalãoGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,457 mm rain

    Shares 22 of your 22 great-fit crops

    97%match
  16. 16

    🇧🇷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

    97%match
  17. 17

    🇧🇷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

    97%match
  18. 18

    🇧🇷Caldas NovasGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,496 mm rain

    Shares 22 of your 22 great-fit crops

    96%match
  19. 19

    🇧🇷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
  20. 20

    🇧🇷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

    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 Pompéu: 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.