Climatch

Land with a climate like Itambacuri

🇧🇷Itambacuri, Minas Gerais, Brazil

The towns with the closest growing climate to Itambacuri are Mutum, Brazil (99% match), Itaperuna and Conselheiro Pena. About 598,000 sq mi of land in 21 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso do Sul, Brazil and São Paulo, Brazil.The towns with the closest growing climate to Itambacuri are Mutum, Brazil (99% match), Itaperuna and Conselheiro Pena. About 1.5 million km² of land in 21 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso do Sul, Brazil and São Paulo, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 38 in rainZone 11b · No frost · 0 chill hours · 970 mm rain

What grows in Itambacuri →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    112k sq mi289k km² matching 80% or better

    For example Resplendor (99), Mutum (99)

  2. 2

    🇧🇷Mato Grosso do Sul, Brazil

    85k sq mi219k km² matching 80% or better

    For example Aparecida do Taboado (93), Paranaíba (91)

  3. 3

    🇧🇷São Paulo, Brazil

    71k sq mi185k km² matching 80% or better

    For example Buritama (95), Novo Horizonte (94)

  4. 4

    🇲🇿Inhambane Province, Mozambique

    12k sq mi30k km² matching 80% or better

    For example Massinga (88), Maxixe (83)

  5. 5

    🇧🇴Santa Cruz Department, Bolivia

    11k sq mi27k km² matching 80% or better

    For example El Torno (85), San Ignacio de Velasco (82)

  6. 6

    🇲🇿Sofala, Mozambique

    9,900 sq mi26k km² matching 80% or better

    For example Gorongosa (86), Búzi (81)

  7. 7

    🇲🇿Zambezia Province, Mozambique

    8,900 sq mi23k km² matching 80% or better

    For example Morrumbala (87), Alto Molocue (82)

  8. 8

    🇻🇳Điện Biên Province, Vietnam

    5,300 sq mi14k km² matching 80% or better

    For example Mường Lay (82), Dien Bien Phu (78)

  9. 9

    🇹🇿Kilimanjaro, Tanzania

    5,100 sq mi13k km² matching 80% or better

    For example Usangi (86), Same (85)

  10. 10

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (78)

  11. 11

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (85)

  12. 12

    🇿🇦KwaZulu-Natal, South Africa

    5,000 sq mi13k km² matching 80% or better

    For example Empangeni (82), Mandeni (81)

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

    🇧🇷MutumMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,061 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  2. 2

    🇧🇷ItaperunaRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,086 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  3. 3

    🇧🇷Conselheiro PenaMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,012 mm rain

    Shares 18 of your 21 great-fit crops

    99%match
  4. 4

    🇧🇷AlegreEspírito Santo, Brazil

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,093 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: potato

    99%match
  5. 5

    🇧🇷São FidélisRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 39 in rainZone 11b · No frost · 0 chill hours · 1,001 mm rain

    Shares 19 of your 21 great-fit crops

    99%match
  6. 6

    🇧🇷Barra de São FranciscoEspírito Santo, Brazil

    Zone 11b · No frost · 0 chill hours · 40 in rainZone 11b · No frost · 0 chill hours · 1,022 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  7. 7

    🇧🇷Baixo GuanduEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,025 mm rain

    Shares 18 of your 21 great-fit crops

    99%match
  8. 8

    🇧🇷Santo Antônio de PáduaRio de Janeiro, Brazil

    Zone 11a · No frost · 0 chill hours · 45 in rainZone 11a · No frost · 0 chill hours · 1,145 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  9. 9

    🇧🇷Raul SoaresMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 43 in rainZone 11a · No frost · 0 chill hours · 1,093 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  10. 10

    🇧🇷EcoporangaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,013 mm rain

    Shares 19 of your 21 great-fit crops

    98%match
  11. 11

    🇧🇷Pedra AzulMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 29 in rainZone 11b · No frost · 0 chill hours · 742 mm rain

    Shares 20 of your 21 great-fit crops

    98%match
  12. 12

    🇧🇷Águas FormosasMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 863 mm rain

    Shares 18 of your 21 great-fit crops

    98%match
  13. 13

    🇧🇷MuriaéMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,280 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: coffee (arabica)

    98%match
  14. 14

    🇧🇷Cachoeiro de ItapemirimEspírito Santo, Brazil

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,057 mm rain

    Shares 20 of your 21 great-fit crops

    97%match
  15. 15

    🇧🇷Cândido SalesBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 30 in rainZone 11b · No frost · 0 chill hours · 759 mm rain

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

    97%match
  16. 16

    🇧🇷Carlos ChagasMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 37 in rainZone 12a · No frost · 0 chill hours · 946 mm rain

    Shares 19 of your 21 great-fit crops

    97%match
  17. 17

    🇧🇷Vera CruzBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 710 mm rain

    Shares 18 of your 21 great-fit crops

    97%match
  18. 18

    🇧🇷IpatingaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,096 mm rain

    Shares 18 of your 21 great-fit crops

    97%match
  19. 19

    🇧🇷InhapimMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 44 in rainZone 11a · No frost · 0 chill hours · 1,126 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: potato, coffee (arabica)

    97%match
  20. 20

    🇧🇷MacaraniBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 791 mm rain

    Shares 17 of your 21 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 Itambacuri: 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.