Climatch

Land with a climate like Timóteo

🇧🇷Timóteo, Minas Gerais, Brazil

The towns with the closest growing climate to Timóteo are Itaperuna, Brazil (98% match), Conselheiro Pena and Visconde do Rio Branco. About 590,000 sq mi of land in 19 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso, Brazil and São Paulo, Brazil.The towns with the closest growing climate to Timóteo are Itaperuna, Brazil (98% match), Conselheiro Pena and Visconde do Rio Branco. About 1.5 million km² of land in 19 countries matches 80% or better, most of it in Minas Gerais, Brazil, Mato Grosso, Brazil and São Paulo, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 44 in rainZone 11b · No frost · 0 chill hours · 1,121 mm rain

What grows in Timóteo →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    167k sq mi432k km² matching 80% or better

    For example Cataguases (99), Ipanema (99)

  2. 2

    🇧🇷Mato Grosso, Brazil

    66k sq mi172k km² matching 80% or better

    For example Pedra Preta (92), Jaciara (91)

  3. 3

    🇧🇷São Paulo, Brazil

    59k sq mi154k km² matching 80% or better

    For example Santa Fé do Sul (95), Jales (95)

  4. 4

    🇧🇴Santa Cruz Department, Bolivia

    8,600 sq mi22k km² matching 80% or better

    For example San Ignacio de Velasco (84), Camiri (79)

  5. 5

    🇲🇿Maputo Province, Mozambique

    5,700 sq mi15k km² matching 80% or better

    For example Boane (91), Matola (90)

  6. 6

    🇲🇿Sofala, Mozambique

    5,600 sq mi15k km² matching 80% or better

    For example Gorongosa (83), Búzi (79)

  7. 7

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (77)

  8. 8

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (86)

  9. 9

    🇻🇳Điện Biên Province, Vietnam

    4,700 sq mi12k km² matching 80% or better

    For example Mường Lay (83), Dien Bien Phu (81)

  10. 10

    🇲🇿Gaza Province, Mozambique

    4,100 sq mi11k km² matching 80% or better

    For example Macia (85), Xilembene (84)

  11. 11

    🇱🇦Vientiane, Laos

    3,400 sq mi8,800 km² matching 80% or better

    For example Vang Vieng (62)

  12. 12

    🇨🇩Tanganyika, Democratic Republic of the Congo

    3,300 sq mi8,500 km² matching 80% or better

    For example Kalima (78), Kalemie (75)

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

    🇧🇷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 20 great-fit crops

    98%match
  2. 2

    🇧🇷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

    98%match
  3. 3

    🇧🇷Visconde do Rio BrancoMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,211 mm rain

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

    98%match
  4. 4

    🇧🇷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 20 great-fit crops

    98%match
  5. 5

    🇧🇷UbáMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,230 mm rain

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

    98%match
  6. 6

    🇧🇷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 20 great-fit crops · Also great there: coffee (arabica)

    97%match
  7. 7

    🇧🇷MalacachetaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 39 in rainZone 11a · No frost · 0 chill hours · 996 mm rain

    Shares 20 of your 20 great-fit crops

    97%match
  8. 8

    🇧🇷Minas NovasMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 34 in rainZone 11b · No frost · 0 chill hours · 876 mm rain

    Shares 19 of your 20 great-fit crops · Also great there: table and raisin grapes

    97%match
  9. 9

    🇧🇷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 20 great-fit crops

    97%match
  10. 10

    🇧🇷Ponte NovaMinas Gerais, Brazil

    Zone 11a · No frost · 2 chill hours · 45 in rainZone 11a · No frost · 2 chill hours · 1,152 mm rain

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

    97%match
  11. 11

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

    97%match
  12. 12

    🇧🇷AbaetéMinas Gerais, Brazil

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

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

    97%match
  13. 13

    🇧🇷São João NepomucenoMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 51 in rainZone 11a · No frost · 0 chill hours · 1,304 mm rain

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

    97%match
  14. 14

    🇧🇷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

    97%match
  15. 15

    🇧🇷Teófilo OtoniMinas Gerais, Brazil

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

    Shares 19 of your 20 great-fit crops · Also great there: table and raisin grapes

    96%match
  16. 16

    🇧🇷Além ParaíbaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,250 mm rain

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

    96%match
  17. 17

    🇧🇷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

    96%match
  18. 18

    🇧🇷Pedra AzulMinas Gerais, Brazil

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

    Shares 19 of your 20 great-fit crops · Also great there: table and raisin grapes

    96%match
  19. 19

    🇧🇷Santa Fé do SulSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,206 mm rain

    Shares 20 of your 20 great-fit crops

    95%match
  20. 20

    🇧🇷ParanaíbaMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,396 mm rain

    Shares 20 of your 20 great-fit crops

    95%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 Timóteo: 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.