Climatch

Land with a climate like Condeúba

🇧🇷Condeúba, Bahia, Brazil

The towns with the closest growing climate to Condeúba are Salinas, Brazil (98% match), Ibitiara and América Dourada. About 188,000 sq mi of land in 8 countries matches 80% or better, most of it in Minas Gerais, Brazil, Bahia, Brazil and Makueni County, Kenya.The towns with the closest growing climate to Condeúba are Salinas, Brazil (98% match), Ibitiara and América Dourada. About 486,000 km² of land in 8 countries matches 80% or better, most of it in Minas Gerais, Brazil, Bahia, Brazil and Makueni County, Kenya.

Your growing climate

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

What grows in Condeúba →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    82k sq mi211k km² matching 80% or better

    For example Salinas (98), Porteirinha (97)

  2. 2

    🇧🇷Bahia, Brazil

    50k sq mi130k km² matching 80% or better

    For example Canarana (98), Tanque Novo (98)

  3. 3

    🇰🇪Makueni County, Kenya

    3,900 sq mi10k km² matching 80% or better

    For example Makindu (85), Emali (82)

  4. 4

    🇹🇿Dodoma, Tanzania

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

    For example Kibaigwa (80), Kondoa (77)

  5. 5

    🇿🇦Limpopo, South Africa

    3,000 sq mi7,800 km² matching 80% or better

    For example Phalaborwa (79), Giyani (72)

  6. 6

    🇹🇿Arusha, Tanzania

    3,000 sq mi7,700 km² matching 80% or better

    For example Mto wa Mbu (83), Makuyuni (82)

  7. 7

    🇲🇿Maputo Province, Mozambique

    3,000 sq mi7,700 km² matching 80% or better

    For example Ressano Garcia (86), Boane (84)

  8. 8

    🇿🇦Mpumalanga, South Africa

    2,400 sq mi6,300 km² matching 80% or better

    For example Komatipoort (84), Kamaqhekeza (83)

  9. 9

    🇹🇿Manyara, Tanzania

    2,400 sq mi6,200 km² matching 80% or better

    For example Magugu (80), Galappo (79)

  10. 10

    🇲🇽Oaxaca, Mexico

    2,000 sq mi5,200 km² matching 80% or better

    For example Miahuatlán de Porfirio Díaz (77), Santa Cruz Xoxocotlán (65)

  11. 11

    🇲🇽Chiapas, Mexico

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

    For example Venustiano Carranza (72), Villaflores (71)

  12. 12

    🇧🇴Santa Cruz Department, Bolivia

    1,400 sq mi3,600 km² matching 80% or better

    For example Camiri (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

    🇧🇷SalinasMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 30 in rainZone 11b · No frost · 0 chill hours · 762 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: cassava, sugarcane

    98%match
  2. 2

    🇧🇷IbitiaraBahia, Brazil

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

    Shares 16 of your 16 great-fit crops · Also great there: canola (rapeseed), wine grapes, barley

    98%match
  3. 3

    🇧🇷América DouradaBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 20 in rainZone 11b · No frost · 0 chill hours · 517 mm rain

    Shares 14 of your 16 great-fit crops

    97%match
  4. 4

    🇧🇷PorteirinhaMinas Gerais, Brazil

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

    Shares 16 of your 16 great-fit crops · Also great there: cassava, sugarcane

    97%match
  5. 5

    🇧🇷BocaiúvaMinas Gerais, Brazil

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

    Shares 16 of your 16 great-fit crops · Also great there: cassava, sugarcane, macadamia

    97%match
  6. 6

    🇧🇷AnagéBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 608 mm rain

    Shares 14 of your 16 great-fit crops

    96%match
  7. 7

    🇧🇷Francisco SáMinas Gerais, Brazil

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

    Shares 16 of your 16 great-fit crops · Also great there: cassava, sugarcane, canola (rapeseed)

    96%match
  8. 8

    🇧🇷TaiobeirasMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 30 in rainZone 11a · No frost · 0 chill hours · 763 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: canola (rapeseed), barley, cassava

    96%match
  9. 9

    🇧🇷ParamirimBahia, Brazil

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

    Shares 16 of your 16 great-fit crops · Also great there: cassava

    95%match
  10. 10

    🇧🇷IrecêBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 21 in rainZone 11b · No frost · 0 chill hours · 545 mm rain

    Shares 14 of your 16 great-fit crops

    95%match
  11. 11

    🇧🇷Minas NovasMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 34 in rainZone 11b · No frost · 0 chill hours · 876 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: cassava, sugarcane, barley

    95%match
  12. 12

    🇧🇷CaetitéBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 30 in rainZone 11b · No frost · 0 chill hours · 763 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: canola (rapeseed), cassava, wine grapes

    95%match
  13. 13

    🇧🇷UmburanasBahia, Brazil

    Zone 11b · No frost · 0 chill hours · 19 in rainZone 11b · No frost · 0 chill hours · 472 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: banana, tea, cassava

    95%match
  14. 14

    🇧🇷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 16 great-fit crops

    94%match
  15. 15

    🇧🇷Livramento de Nossa SenhoraBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 22 in rainZone 12a · No frost · 0 chill hours · 552 mm rain

    Shares 13 of your 16 great-fit crops

    94%match
  16. 16

    🇧🇷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 16 of your 16 great-fit crops · Also great there: cassava, sugarcane, canola (rapeseed)

    94%match
  17. 17

    🇧🇷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 15 of your 16 great-fit crops · Also great there: cassava, sugarcane, macadamia

    94%match
  18. 18

    🇧🇷BrumadoBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 21 in rainZone 12a · No frost · 0 chill hours · 526 mm rain

    Shares 13 of your 16 great-fit crops

    94%match
  19. 19

    🇧🇷CorintoMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 37 in rainZone 11a · No frost · 0 chill hours · 946 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: cassava, sugarcane, macadamia

    93%match
  20. 20

    🇧🇷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 16 of your 16 great-fit crops · Also great there: cassava

    92%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 Condeúba: 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.