Climatch

Land with a climate like Varzelândia

🇧🇷Varzelândia, Minas Gerais, Brazil

The towns with the closest growing climate to Varzelândia are Francisco Sá, Brazil (99% match), Palmas de Monte Alto and Janaúba. About 388,000 sq mi of land in 10 countries matches 80% or better, most of it in Bahia, Brazil, Minas Gerais, Brazil and Goiás, Brazil.The towns with the closest growing climate to Varzelândia are Francisco Sá, Brazil (99% match), Palmas de Monte Alto and Janaúba. About 1.0 million km² of land in 10 countries matches 80% or better, most of it in Bahia, Brazil, Minas Gerais, Brazil and Goiás, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 31 in rainZone 11b · No frost · 0 chill hours · 784 mm rain

What grows in Varzelândia →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    82k sq mi213k km² matching 80% or better

    For example Igaporã (99), Palmas de Monte Alto (99)

  2. 2

    🇧🇷Minas Gerais, Brazil

    80k sq mi206k km² matching 80% or better

    For example Francisco Sá (99), Porteirinha (99)

  3. 3

    🇧🇷Goiás, Brazil

    36k sq mi94k km² matching 80% or better

    For example Posse (89), Padre Bernardo (86)

  4. 4

    🇿🇲Luapula Province, Zambia

    10k sq mi27k km² matching 80% or better

    For example Mwansabombwe (87), Kawambwa (84)

  5. 5

    🇹🇿Tabora, Tanzania

    10k sq mi26k km² matching 80% or better

    For example Mambali (84), Nzega (83)

  6. 6

    🇹🇿Kigoma, Tanzania

    9,800 sq mi25k km² matching 80% or better

    For example Uvinza (89), Nguruka (86)

  7. 7

    🇨🇩Lualaba, Democratic Republic of the Congo

    7,700 sq mi20k km² matching 80% or better

    For example Malemba (79), Mwene (79)

  8. 8

    🇿🇲Northern Province, Zambia

    6,200 sq mi16k km² matching 80% or better

    For example Mporokoso (79), Luwingu (76)

  9. 9

    🇨🇩Tanganyika, Democratic Republic of the Congo

    5,300 sq mi14k km² matching 80% or better

    For example Baudhuinville (90), Kituku (76)

  10. 10

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    5,000 sq mi13k km² matching 80% or better

    For example Kamina (75), Bukama (74)

  11. 11

    🇦🇴Benguela, Angola

    4,700 sq mi12k km² matching 80% or better

    For example Cubal (85), Bocoio (83)

  12. 12

    🇹🇿Shinyanga, Tanzania

    4,200 sq mi11k km² matching 80% or better

    For example Kahama (82), Mwadui (80)

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

    🇧🇷Francisco SáMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 34 in rainZone 11b · No frost · 0 chill hours · 874 mm rain

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

    99%match
  2. 2

    🇧🇷Palmas de Monte AltoBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 703 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  3. 3

    🇧🇷JanaúbaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 30 in rainZone 11b · No frost · 0 chill hours · 773 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  4. 4

    🇧🇷CocosBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 32 in rainZone 11b · No frost · 0 chill hours · 810 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  5. 5

    🇧🇷PindaíBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 626 mm rain

    Shares 16 of your 19 great-fit crops

    99%match
  6. 6

    🇧🇷MacaúbasBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 731 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  7. 7

    🇧🇷ParamirimBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 702 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  8. 8

    🇧🇷Montes ClarosMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 40 in rainZone 11b · No frost · 0 chill hours · 1,012 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: macadamia, barley

    99%match
  9. 9

    🇧🇷Riacho de SantanaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 780 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  10. 10

    🇧🇷CorrentinaBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 33 in rainZone 11b · No frost · 0 chill hours · 829 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  11. 11

    🇧🇷BocaiúvaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 37 in rainZone 11b · No frost · 0 chill hours · 929 mm rain

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

    99%match
  12. 12

    🇧🇷São FranciscoMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 35 in rainZone 11b · No frost · 0 chill hours · 896 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  13. 13

    🇧🇷EspinosaMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 679 mm rain

    Shares 16 of your 19 great-fit crops

    98%match
  14. 14

    🇧🇷PiraporaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 37 in rainZone 11b · No frost · 0 chill hours · 941 mm rain

    Shares 18 of your 19 great-fit crops

    98%match
  15. 15

    🇧🇷CaculéBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 26 in rainZone 11b · No frost · 0 chill hours · 661 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  16. 16

    🇧🇷UrucuiaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 39 in rainZone 11b · No frost · 0 chill hours · 988 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  17. 17

    🇧🇷Oliveira dos BrejinhosBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 732 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  18. 18

    🇧🇷IbitiaraBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 27 in rainZone 11b · No frost · 0 chill hours · 674 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: wine grapes, barley, potato

    97%match
  19. 19

    🇧🇷Lagoa RealBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 23 in rainZone 12a · No frost · 0 chill hours · 590 mm rain

    Shares 13 of your 19 great-fit crops

    97%match
  20. 20

    🇧🇷MangaMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 693 mm rain

    Shares 16 of your 19 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 Varzelândia: 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.