Climatch

Land with a climate like Monte Azul

🇧🇷Monte Azul, Minas Gerais, Brazil

The towns with the closest growing climate to Monte Azul are Palmas de Monte Alto, Brazil (99% match), Janaúba and Riacho de Santana. About 259,000 sq mi of land in 8 countries matches 80% or better, most of it in Bahia, Brazil, Minas Gerais, Brazil and Goiás, Brazil.The towns with the closest growing climate to Monte Azul are Palmas de Monte Alto, Brazil (99% match), Janaúba and Riacho de Santana. About 672,000 km² of land in 8 countries matches 80% or better, most of it in Bahia, Brazil, Minas Gerais, Brazil and Goiás, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 714 mm rain

What grows in Monte Azul →

Regions with the most land like yours

  1. 1

    🇧🇷Bahia, Brazil

    84k sq mi217k km² matching 80% or better

    For example Palmas de Monte Alto (99), Pindaí (99)

  2. 2

    🇧🇷Minas Gerais, Brazil

    53k sq mi138k km² matching 80% or better

    For example Janaúba (99), Varzelândia (99)

  3. 3

    🇧🇷Goiás, Brazil

    19k sq mi50k km² matching 80% or better

    For example Posse (84), Campos Belos (83)

  4. 4

    🇿🇲Luapula Province, Zambia

    9,100 sq mi24k km² matching 80% or better

    For example Nchelenge (84), Mwansabombwe (84)

  5. 5

    🇹🇿Kigoma, Tanzania

    4,800 sq mi12k km² matching 80% or better

    For example Nguruka (84), Uvinza (81)

  6. 6

    🇦🇴Benguela, Angola

    4,400 sq mi11k km² matching 80% or better

    For example Cubal (84), Bocoio (80)

  7. 7

    🇨🇩Haut-Katanga, Democratic Republic of the Congo

    3,800 sq mi10,000 km² matching 80% or better

    For example Pweto (79), Likasi (57)

  8. 8

    🇹🇿Tabora, Tanzania

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

    For example Mambali (80), Tabora (79)

  9. 9

    🇦🇴Namibe, Angola

    2,600 sq mi6,800 km² matching 80% or better

    For example Camucuio (78)

  10. 10

    🇹🇿Simiyu, Tanzania

    2,100 sq mi5,400 km² matching 80% or better

    For example Mwanhuzi (80), Somanda (78)

  11. 11

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

    2,100 sq mi5,300 km² matching 80% or better

    For example Bukama (74), Kipamba (71)

  12. 12

    🇲🇽Oaxaca, Mexico

    1,700 sq mi4,500 km² matching 80% or better

    For example Miahuatlán de Porfirio Díaz (73), Santa Cruz Xoxocotlán (72)

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

    🇧🇷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 17 great-fit crops

    99%match
  2. 2

    🇧🇷JanaúbaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 30 in rainZone 11b · No frost · 0 chill hours · 773 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: sugarcane

    99%match
  3. 3

    🇧🇷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: sugarcane

    99%match
  4. 4

    🇧🇷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 17 great-fit crops

    99%match
  5. 5

    🇧🇷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: sugarcane

    98%match
  6. 6

    🇧🇷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

    98%match
  7. 7

    🇧🇷GuanambiBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 689 mm rain

    Shares 16 of your 17 great-fit crops

    98%match
  8. 8

    🇧🇷Francisco SáMinas Gerais, Brazil

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

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

    98%match
  9. 9

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

    98%match
  10. 10

    🇧🇷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: sugarcane

    97%match
  11. 11

    🇧🇷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: sugarcane

    97%match
  12. 12

    🇧🇷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

    97%match
  13. 13

    🇧🇷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 17 great-fit crops

    97%match
  14. 14

    🇧🇷Oliveira dos BrejinhosBahia, Brazil

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 732 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: sugarcane

    96%match
  15. 15

    🇧🇷ItacarambiMinas Gerais, Brazil

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

    Shares 16 of your 17 great-fit crops · Also great there: sugarcane

    96%match
  16. 16

    🇧🇷São FranciscoMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 35 in rainZone 11b · No frost · 0 chill hours · 896 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: sugarcane

    96%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

    96%match
  18. 18

    🇧🇷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 17 great-fit crops

    96%match
  19. 19

    🇧🇷JanuáriaMinas Gerais, Brazil

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

    Shares 16 of your 17 great-fit crops · Also great there: sugarcane

    95%match
  20. 20

    🇧🇷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 16 of your 17 great-fit crops · Also great there: sugarcane, macadamia, barley

    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 Monte Azul: 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.