Climatch

Land with a climate like Francisco Sá

🇧🇷Francisco Sá, Minas Gerais, Brazil

The towns with the closest growing climate to Francisco Sá are Porteirinha, Brazil (99% match), São João da Ponte and Bocaiúva. About 268,000 sq mi of land in 10 countries matches 80% or better, most of it in Minas Gerais, Brazil, Bahia, Brazil and Goiás, Brazil.The towns with the closest growing climate to Francisco Sá are Porteirinha, Brazil (99% match), São João da Ponte and Bocaiúva. About 695,000 km² of land in 10 countries matches 80% or better, most of it in Minas Gerais, Brazil, Bahia, Brazil and Goiás, Brazil.

Your growing climate

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

What grows in Francisco Sá →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    91k sq mi235k km² matching 80% or better

    For example Porteirinha (99), Varzelândia (99)

  2. 2

    🇧🇷Bahia, Brazil

    72k sq mi187k km² matching 80% or better

    For example Tanque Novo (99), Igaporã (99)

  3. 3

    🇧🇷Goiás, Brazil

    27k sq mi70k km² matching 80% or better

    For example Formosa (84), Posse (84)

  4. 4

    🇿🇲Luapula Province, Zambia

    5,600 sq mi15k km² matching 80% or better

    For example Mwansabombwe (81), Kawambwa (81)

  5. 5

    🇨🇩Lualaba, Democratic Republic of the Congo

    4,100 sq mi11k km² matching 80% or better

    For example Malemba (76), Fungurume (76)

  6. 6

    🇹🇿Kigoma, Tanzania

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

    For example Uvinza (83), Nguruka (77)

  7. 7

    🇨🇩Tanganyika, Democratic Republic of the Congo

    2,700 sq mi6,900 km² matching 80% or better

    For example Baudhuinville (84), Nyunzu (71)

  8. 8

    🇦🇴Benguela, Angola

    2,300 sq mi6,000 km² matching 80% or better

    For example Cubal (81), Bocoio (81)

  9. 9

    🇲🇽Oaxaca, Mexico

    2,300 sq mi5,900 km² matching 80% or better

    For example Miahuatlán de Porfirio Díaz (83), Santa Cruz Xoxocotlán (79)

  10. 10

    🇧🇴Santa Cruz Department, Bolivia

    1,700 sq mi4,400 km² matching 80% or better

    For example Camiri (80)

  11. 11

    🇨🇩Haut-Katanga, Democratic Republic of the Congo

    1,500 sq mi3,800 km² matching 80% or better

    For example Likasi (69), Kambove (67)

  12. 12

    🇲🇿Niassa Province, Mozambique

    1,400 sq mi3,700 km² matching 80% or better

    For example Cuamba (80), Lichinga (65)

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

    🇧🇷PorteirinhaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 31 in rainZone 11b · No frost · 0 chill hours · 786 mm rain

    Shares 18 of your 20 great-fit crops

    99%match
  2. 2

    🇧🇷São João da PonteMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 34 in rainZone 11b · No frost · 0 chill hours · 868 mm rain

    Shares 20 of your 20 great-fit crops

    99%match
  3. 3

    🇧🇷BocaiúvaMinas Gerais, Brazil

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

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

    99%match
  4. 4

    🇧🇷Tanque NovoBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 29 in rainZone 11b · No frost · 0 chill hours · 734 mm rain

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

    99%match
  5. 5

    🇧🇷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 20 great-fit crops

    99%match
  6. 6

    🇧🇷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 20 great-fit crops

    98%match
  7. 7

    🇧🇷Brasília de MinasMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 36 in rainZone 11a · No frost · 0 chill hours · 915 mm rain

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

    98%match
  8. 8

    🇧🇷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 20 great-fit crops

    98%match
  9. 9

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

    98%match
  10. 10

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

    97%match
  11. 11

    🇧🇷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 20 great-fit crops · Also great there: wine grapes, barley, potato

    97%match
  12. 12

    🇧🇷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 20 great-fit crops

    97%match
  13. 13

    🇧🇷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 20 great-fit crops

    96%match
  14. 14

    🇧🇷CondeúbaBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 26 in rainZone 11b · No frost · 0 chill hours · 651 mm rain

    Shares 16 of your 20 great-fit crops

    96%match
  15. 15

    🇧🇷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 20 great-fit crops

    96%match
  16. 16

    🇧🇷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 20 great-fit crops

    96%match
  17. 17

    🇧🇷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 20 great-fit crops

    95%match
  18. 18

    🇧🇷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 20 great-fit crops

    95%match
  19. 19

    🇧🇷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 20 great-fit crops

    95%match
  20. 20

    🇧🇷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 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 Francisco Sá: 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.