Climatch

Land with a climate like Barreiras

🇧🇷Barreiras, Bahia, Brazil

The towns with the closest growing climate to Barreiras are Urucuia, Brazil (99% match), Arinos and Santana. About 559,000 sq mi of land in 16 countries matches 80% or better, most of it in Goiás, Brazil, Bahia, Brazil and Minas Gerais, Brazil.The towns with the closest growing climate to Barreiras are Urucuia, Brazil (99% match), Arinos and Santana. About 1.4 million km² of land in 16 countries matches 80% or better, most of it in Goiás, Brazil, Bahia, Brazil and Minas Gerais, Brazil.

Your growing climate

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

What grows in Barreiras →

Regions with the most land like yours

  1. 1

    🇧🇷Goiás, Brazil

    92k sq mi238k km² matching 80% or better

    For example Posse (95), Campos Belos (94)

  2. 2

    🇧🇷Bahia, Brazil

    69k sq mi179k km² matching 80% or better

    For example Santana (98), Cocos (97)

  3. 3

    🇧🇷Minas Gerais, Brazil

    59k sq mi153k km² matching 80% or better

    For example Urucuia (99), Arinos (98)

  4. 4

    🇮🇳Karnataka, India

    11k sq mi28k km² matching 80% or better

    For example Kundgol (86), Byādgi (84)

  5. 5

    🇨🇩Tanganyika, Democratic Republic of the Congo

    9,500 sq mi25k km² matching 80% or better

    For example Baudhuinville (83), Manono (83)

  6. 6

    🇹🇿Tabora, Tanzania

    8,900 sq mi23k km² matching 80% or better

    For example Urambo (84), Mambali (83)

  7. 7

    🇹🇿Kigoma, Tanzania

    8,000 sq mi21k km² matching 80% or better

    For example Uvinza (87), Mwandiga (84)

  8. 8

    🇹🇿Shinyanga, Tanzania

    6,300 sq mi16k km² matching 80% or better

    For example Kahama (87), Old Shinyanga (86)

  9. 9

    🇬🇳Faranah, Guinea

    6,200 sq mi16k km² matching 80% or better

    For example Banko (86), Dogomet (86)

  10. 10

    🇲🇽Chiapas, Mexico

    6,000 sq mi16k km² matching 80% or better

    For example Venustiano Carranza (90), Suchiapa (89)

  11. 11

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    4,700 sq mi12k km² matching 80% or better

    For example Malemba-Nkulu (80), Mulongo (80)

  12. 12

    🇲🇽Oaxaca, Mexico

    4,600 sq mi12k km² matching 80% or better

    For example Ocotlán de Morelos (67), Santa Cruz Xoxocotlán (66)

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

    🇧🇷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 18 great-fit crops

    99%match
  2. 2

    🇧🇷ArinosMinas Gerais, Brazil

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

    Shares 17 of your 18 great-fit crops · Also great there: macadamia, canola (rapeseed)

    98%match
  3. 3

    🇧🇷SantanaBahia, Brazil

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

    Shares 17 of your 18 great-fit crops

    98%match
  4. 4

    🇧🇷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 18 great-fit crops

    98%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 18 of your 18 great-fit crops

    97%match
  6. 6

    🇧🇷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 17 of your 18 great-fit crops · Also great there: macadamia

    97%match
  7. 7

    🇧🇷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 17 of your 18 great-fit crops · Also great there: macadamia, canola (rapeseed)

    97%match
  8. 8

    🇧🇷BuritisMinas Gerais, Brazil

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

    Shares 17 of your 18 great-fit crops · Also great there: macadamia, canola (rapeseed)

    96%match
  9. 9

    🇧🇷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 18 great-fit crops

    95%match
  10. 10

    🇧🇷PosseGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 52 in rainZone 12a · No frost · 0 chill hours · 1,316 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia

    95%match
  11. 11

    🇧🇷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 18 great-fit crops

    95%match
  12. 12

    🇧🇷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 18 great-fit crops

    95%match
  13. 13

    🇧🇷Santa Maria da VitóriaBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 886 mm rain

    Shares 17 of your 18 great-fit crops

    94%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 18 great-fit crops

    94%match
  15. 15

    🇧🇷Campos BelosGoiás, Brazil

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,340 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia

    94%match
  16. 16

    🇧🇷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 18 great-fit crops

    94%match
  17. 17

    🇧🇷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 18 great-fit crops

    93%match
  18. 18

    🇧🇷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 18 of your 18 great-fit crops · Also great there: canola (rapeseed), macadamia

    93%match
  19. 19

    🇧🇷DianópolisTocantins, Brazil

    Zone 12a · No frost · 0 chill hours · 52 in rainZone 12a · No frost · 0 chill hours · 1,316 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia

    93%match
  20. 20

    🇧🇷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 18 great-fit crops

    93%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 Barreiras: 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.