Climatch

Land with a climate like São João da Ponte

🇧🇷São João da Ponte, Minas Gerais, Brazil

The towns with the closest growing climate to São João da Ponte are Francisco Sá, Brazil (99% match), Montes Claros and Bocaiúva. About 395,000 sq mi of land in 11 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 São João da Ponte are Francisco Sá, Brazil (99% match), Montes Claros and Bocaiúva. About 1.0 million km² of land in 11 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 · 868 mm rain

What grows in São João da Ponte →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    99k sq mi258k km² matching 80% or better

    For example Francisco Sá (99), Montes Claros (99)

  2. 2

    🇧🇷Bahia, Brazil

    78k sq mi203k km² matching 80% or better

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

  3. 3

    🇧🇷Goiás, Brazil

    61k sq mi157k km² matching 80% or better

    For example Posse (90), Formosa (88)

  4. 4

    🇹🇿Kigoma, Tanzania

    8,900 sq mi23k km² matching 80% or better

    For example Uvinza (89), Nguruka (82)

  5. 5

    🇿🇲Luapula Province, Zambia

    7,100 sq mi18k km² matching 80% or better

    For example Kawambwa (83), Mwansabombwe (83)

  6. 6

    🇧🇴Santa Cruz Department, Bolivia

    5,300 sq mi14k km² matching 80% or better

    For example Camiri (85)

  7. 7

    🇲🇽Oaxaca, Mexico

    5,200 sq mi13k km² matching 80% or better

    For example Miahuatlán de Porfirio Díaz (84), Ocotlán de Morelos (81)

  8. 8

    🇨🇩Tanganyika, Democratic Republic of the Congo

    4,700 sq mi12k km² matching 80% or better

    For example Baudhuinville (87), Nyunzu (78)

  9. 9

    🇿🇦Limpopo, South Africa

    3,600 sq mi9,200 km² matching 80% or better

    For example Phalaborwa (81), Malamulele (77)

  10. 10

    🇨🇩Haut-Katanga, Democratic Republic of the Congo

    3,500 sq mi9,200 km² matching 80% or better

    For example Pweto (69), Likasi (67)

  11. 11

    🇨🇩Lualaba, Democratic Republic of the Congo

    3,500 sq mi9,200 km² matching 80% or better

    For example Mwene (77), Malemba (76)

  12. 12

    🇲🇽Chiapas, Mexico

    3,400 sq mi8,900 km² matching 80% or better

    For example Venustiano Carranza (82), Villaflores (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 20 of your 20 great-fit crops

    99%match
  2. 2

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

    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

    🇧🇷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
  5. 5

    🇧🇷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

    99%match
  6. 6

    🇧🇷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 20 great-fit crops

    99%match
  7. 7

    🇧🇷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

    99%match
  8. 8

    🇧🇷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

    99%match
  9. 9

    🇧🇷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

    99%match
  10. 10

    🇧🇷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
  11. 11

    🇧🇷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

    98%match
  12. 12

    🇧🇷Brasilândia de MinasMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 42 in rainZone 11b · No frost · 0 chill hours · 1,069 mm rain

    Shares 19 of your 20 great-fit crops

    97%match
  13. 13

    🇧🇷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 20 great-fit crops

    97%match
  14. 14

    🇧🇷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 20 great-fit crops

    97%match
  15. 15

    🇧🇷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
  16. 16

    🇧🇷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
  17. 17

    🇧🇷Três MariasMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 40 in rainZone 11b · No frost · 0 chill hours · 1,014 mm rain

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

    97%match
  18. 18

    🇧🇷ArinosMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,099 mm rain

    Shares 19 of your 20 great-fit crops

    96%match
  19. 19

    🇧🇷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

    96%match
  20. 20

    🇧🇷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

    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 São João da Ponte: 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.