Climatch

Land with a climate like Teófilo Otoni

🇧🇷Teófilo Otoni, Minas Gerais, Brazil

The towns with the closest growing climate to Teófilo Otoni are Mutum, Brazil (99% match), Barra de São Francisco and Conselheiro Pena. About 627,000 sq mi of land in 20 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Minas Gerais, Brazil and São Paulo, Brazil.The towns with the closest growing climate to Teófilo Otoni are Mutum, Brazil (99% match), Barra de São Francisco and Conselheiro Pena. About 1.6 million km² of land in 20 countries matches 80% or better, most of it in Mato Grosso do Sul, Brazil, Minas Gerais, Brazil and São Paulo, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 38 in rainZone 11b · No frost · 0 chill hours · 962 mm rain

What grows in Teófilo Otoni →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso do Sul, Brazil

    94k sq mi242k km² matching 80% or better

    For example Bataguassu (93), Aparecida do Taboado (93)

  2. 2

    🇧🇷Minas Gerais, Brazil

    75k sq mi194k km² matching 80% or better

    For example Resplendor (99), Mantena (99)

  3. 3

    🇧🇷São Paulo, Brazil

    67k sq mi173k km² matching 80% or better

    For example Mirandópolis (94), Tupi Paulista (94)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    19k sq mi49k km² matching 80% or better

    For example El Torno (88), San Ignacio de Velasco (85)

  5. 5

    🇲🇿Sofala, Mozambique

    14k sq mi37k km² matching 80% or better

    For example Gorongosa (86), Dondo (84)

  6. 6

    🇲🇿Zambezia Province, Mozambique

    14k sq mi36k km² matching 80% or better

    For example Morrumbala (87), Alto Molocue (81)

  7. 7

    🇲🇿Inhambane Province, Mozambique

    12k sq mi31k km² matching 80% or better

    For example Massinga (90), Maxixe (85)

  8. 8

    🇵🇾Concepción, Paraguay

    8,500 sq mi22k km² matching 80% or better

    For example Yby Yaú (83), Concepción (80)

  9. 9

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (82)

  10. 10

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (85)

  11. 11

    🇹🇿Kilimanjaro, Tanzania

    4,800 sq mi12k km² matching 80% or better

    For example Hedaru (84), Same (84)

  12. 12

    🇹🇿Tanga, Tanzania

    4,500 sq mi12k km² matching 80% or better

    For example Handeni (84), Chanika (84)

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 19 of your 20 great-fit crops · Also great there: barley

    99%match
  2. 2

    🇧🇷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 19 of your 20 great-fit crops · Also great there: barley

    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 20 great-fit crops

    99%match
  4. 4

    🇧🇷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 20 great-fit crops

    99%match
  5. 5

    🇧🇷EcoporangaEspírito Santo, Brazil

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

    Shares 18 of your 20 great-fit crops · Also great there: barley

    99%match
  6. 6

    🇧🇷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 20 great-fit crops

    99%match
  7. 7

    🇧🇷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 20 great-fit crops

    99%match
  8. 8

    🇧🇷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 19 of your 20 great-fit crops · Also great there: barley

    99%match
  9. 9

    🇧🇷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 20 great-fit crops

    99%match
  10. 10

    🇧🇷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 19 of your 20 great-fit crops · Also great there: barley

    99%match
  11. 11

    🇧🇷AlegreEspírito Santo, Brazil

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

    Shares 19 of your 20 great-fit crops · Also great there: barley, potato

    99%match
  12. 12

    🇧🇷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 19 of your 20 great-fit crops · Also great there: barley

    98%match
  13. 13

    🇧🇷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 20 great-fit crops

    98%match
  14. 14

    🇧🇷ColatinaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 42 in rainZone 12a · No frost · 0 chill hours · 1,062 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: barley

    98%match
  15. 15

    🇧🇷AlmenaraMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 784 mm rain

    Shares 17 of your 20 great-fit crops

    98%match
  16. 16

    🇧🇷Governador ValadaresMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 40 in rainZone 12a · No frost · 0 chill hours · 1,027 mm rain

    Shares 17 of your 20 great-fit crops

    98%match
  17. 17

    🇧🇷Conceição de MacabuRio de Janeiro, Brazil

    Zone 11b · No frost · 0 chill hours · 45 in rainZone 11b · No frost · 0 chill hours · 1,153 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: barley, coffee (arabica)

    97%match
  18. 18

    🇧🇷Nova VenéciaEspírito Santo, Brazil

    Zone 12a · No frost · 0 chill hours · 41 in rainZone 12a · No frost · 0 chill hours · 1,051 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: banana, barley

    97%match
  19. 19

    🇧🇷NanuqueMinas 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 20 great-fit crops · Also great there: banana

    97%match
  20. 20

    🇧🇷Vera CruzBahia, Brazil

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

    Shares 17 of your 20 great-fit crops · Also great there: barley

    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 Teófilo Otoni: 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.