Climatch

Land with a climate like Santana, Brazil

🇧🇷Santana, Bahia, Brazil

The towns with the closest growing climate to Santana, Brazil are Januária, Brazil (99% match), Itacarambi and Oliveira dos Brejinhos. About 453,000 sq mi of land in 10 countries matches 80% or better, most of it in Bahia, Brazil, Goiás, Brazil and Minas Gerais, Brazil.The towns with the closest growing climate to Santana, Brazil are Januária, Brazil (99% match), Itacarambi and Oliveira dos Brejinhos. About 1.2 million km² of land in 10 countries matches 80% or better, most of it in Bahia, Brazil, Goiás, Brazil and Minas Gerais, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 841 mm rain

What grows in Santana, Brazil →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    83k sq mi214k km² matching 80% or better

    For example Oliveira dos Brejinhos (99), Riachão das Neves (99)

  2. 2

    🇧🇷Goiás, Brazil

    54k sq mi140k km² matching 80% or better

    For example Campos Belos (94), Posse (93)

  3. 3

    🇧🇷Minas Gerais, Brazil

    42k sq mi109k km² matching 80% or better

    For example Januária (99), Itacarambi (99)

  4. 4

    🇹🇿Tabora, Tanzania

    18k sq mi47k km² matching 80% or better

    For example Mambali (91), Urambo (91)

  5. 5

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    11k sq mi29k km² matching 80% or better

    For example Bukama (87), Malemba-Nkulu (84)

  6. 6

    🇿🇲Luapula Province, Zambia

    8,600 sq mi22k km² matching 80% or better

    For example Nchelenge (90), Chiengi (89)

  7. 7

    🇹🇿Kigoma, Tanzania

    7,400 sq mi19k km² matching 80% or better

    For example Nguruka (87), Uvinza (84)

  8. 8

    🇹🇿Katavi, Tanzania

    7,400 sq mi19k km² matching 80% or better

    For example Mpanda (89), Usevia (79)

  9. 9

    🇿🇲Northern Province, Zambia

    6,800 sq mi18k km² matching 80% or better

    For example Kaputa (90), Mporokoso (73)

  10. 10

    🇨🇩Tanganyika, Democratic Republic of the Congo

    6,500 sq mi17k km² matching 80% or better

    For example Baudhuinville (87), Kituku (81)

  11. 11

    🇨🇩Haut-Katanga, Democratic Republic of the Congo

    4,100 sq mi11k km² matching 80% or better

    For example Pweto (88), Lubumbashi (50)

  12. 12

    🇮🇳Karnataka, India

    2,900 sq mi7,500 km² matching 80% or better

    For example Byādgi (81), Ranebennur (81)

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

    🇧🇷JanuáriaMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 802 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  2. 2

    🇧🇷ItacarambiMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 767 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  3. 3

    🇧🇷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 17 great-fit crops

    99%match
  4. 4

    🇧🇷Riachão das NevesBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 34 in rainZone 11b · No frost · 0 chill hours · 858 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  5. 5

    🇧🇷CocosBahia, Brazil

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

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

    99%match
  6. 6

    🇧🇷JaíbaMinas Gerais, Brazil

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 687 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  7. 7

    🇧🇷ParatingaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 743 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  8. 8

    🇧🇷Riacho de SantanaBahia, Brazil

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

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

    99%match
  9. 9

    🇧🇷CorrentinaBahia, Brazil

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

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

    99%match
  10. 10

    🇧🇷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 17 great-fit crops

    99%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 17 of your 17 great-fit crops · Also great there: wheat

    98%match
  12. 12

    🇧🇷BarreirasBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 37 in rainZone 11b · No frost · 0 chill hours · 951 mm rain

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

    98%match
  13. 13

    🇧🇷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 17 great-fit crops

    97%match
  14. 14

    🇧🇷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 17 great-fit crops

    97%match
  15. 15

    🇧🇷CorrentePiauí, Brazil

    Zone 11b · No frost · 0 chill hours · 38 in rainZone 11b · No frost · 0 chill hours · 958 mm rain

    Shares 16 of your 17 great-fit crops

    97%match
  16. 16

    🇧🇷Luis Eduardo MagalhãesBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,182 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: macadamia, wheat

    97%match
  17. 17

    🇧🇷CarinhanhaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 705 mm rain

    Shares 16 of your 17 great-fit crops

    97%match
  18. 18

    🇧🇷Serra do RamalhoBahia, Brazil

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

    Shares 15 of your 17 great-fit crops

    96%match
  19. 19

    🇧🇷BuritiramaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 794 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  20. 20

    🇧🇷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 17 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 Santana, Brazil: 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.