Climatch

Land with a climate like Monte Carmelo

🇧🇷Monte Carmelo, Minas Gerais, Brazil

The towns with the closest growing climate to Monte Carmelo are Luziânia, Brazil (99% match), Patos de Minas and Cristalina. About 407,000 sq mi of land in 10 countries matches 80% or better, most of it in Minas Gerais, Brazil, Goiás, Brazil and Mato Grosso, Brazil.The towns with the closest growing climate to Monte Carmelo are Luziânia, Brazil (99% match), Patos de Minas and Cristalina. About 1.1 million km² of land in 10 countries matches 80% or better, most of it in Minas Gerais, Brazil, Goiás, Brazil and Mato Grosso, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,566 mm rain

What grows in Monte Carmelo →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    150k sq mi389k km² matching 80% or better

    For example Presidente Olegário (99), Patos de Minas (98)

  2. 2

    🇧🇷Goiás, Brazil

    83k sq mi214k km² matching 80% or better

    For example Luziânia (99), Cidade Ocidental (99)

  3. 3

    🇧🇷Mato Grosso, Brazil

    33k sq mi85k km² matching 80% or better

    For example Campo Verde (90), Alto Araguaia (89)

  4. 4

    🇦🇴Kwanza Sul, Angola

    10k sq mi27k km² matching 80% or better

    For example Capunda (86), Gabela (85)

  5. 5

    🇨🇩Tanganyika, Democratic Republic of the Congo

    9,800 sq mi25k km² matching 80% or better

    For example Nyunzu (78), Kalemie (76)

  6. 6

    🇹🇿Kigoma, Tanzania

    8,600 sq mi22k km² matching 80% or better

    For example Kasulu (87), Kibondo (83)

  7. 7

    🇦🇴Malanje, Angola

    5,900 sq mi15k km² matching 80% or better

    For example Cacuso (88), Bailundo (86)

  8. 8

    🇦🇴Cuanza Norte, Angola

    4,700 sq mi12k km² matching 80% or better

    For example Dondo (84), Cazombo (83)

  9. 9

    🇱🇦Xiangkhoang, Laos

    3,700 sq mi9,500 km² matching 80% or better

    For example Muang Phônsavan (88)

  10. 10

    🇨🇩Haut-Lomami, Democratic Republic of the Congo

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

    For example Kamina (72), Kanyama (69)

  11. 11

    🇲🇽Oaxaca, Mexico

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

    For example Miahuatlán de Porfirio Díaz (62), Ocotlán de Morelos (56)

  12. 12

    🇹🇭Chiang Mai, Thailand

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

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

    🇧🇷LuziâniaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,494 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: fig

    99%match
  2. 2

    🇧🇷Patos de MinasMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,443 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: banana, fig, tea

    98%match
  3. 3

    🇧🇷CristalinaGoiás, Brazil

    Zone 11a · No frost · 0 chill hours · 60 in rainZone 11a · No frost · 0 chill hours · 1,524 mm rain

    Shares 21 of your 21 great-fit crops

    98%match
  4. 4

    🇧🇷Águas ClarasFederal District, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,433 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: fig

    97%match
  5. 5

    🇧🇷CatalãoGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 57 in rainZone 11b · No frost · 0 chill hours · 1,457 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: fig

    97%match
  6. 6

    🇧🇷VazanteMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,424 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: fig

    97%match
  7. 7

    🇧🇷ParaopebaMinas Gerais, Brazil

    Zone 11a · No frost · 1 chill hours · 44 in rainZone 11a · No frost · 1 chill hours · 1,117 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: fig

    97%match
  8. 8

    🇧🇷BrasíliaFederal District, Brazil

    Zone 11b · No frost · 0 chill hours · 56 in rainZone 11b · No frost · 0 chill hours · 1,411 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: fig

    97%match
  9. 9

    🇧🇷João PinheiroMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,262 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: fig

    96%match
  10. 10

    🇧🇷TupaciguaraMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,547 mm rain

    Shares 21 of your 21 great-fit crops

    96%match
  11. 11

    🇧🇷AlexâniaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,493 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: fig

    96%match
  12. 12

    🇧🇷SilvâniaGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,526 mm rain

    Shares 21 of your 21 great-fit crops

    96%match
  13. 13

    🇧🇷PompéuMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,167 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: fig

    96%match
  14. 14

    🇧🇷AbaetéMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,262 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: fig

    96%match
  15. 15

    🇧🇷ParacatuMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 53 in rainZone 11b · No frost · 0 chill hours · 1,357 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: fig

    96%match
  16. 16

    🇧🇷Carmo do ParanaíbaMinas Gerais, Brazil

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,506 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: tea, banana

    96%match
  17. 17

    🇧🇷Pires do RioGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 58 in rainZone 11b · No frost · 0 chill hours · 1,483 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: fig

    95%match
  18. 18

    🇧🇷IpameriGoiás, Brazil

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,473 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: fig

    95%match
  19. 19

    🇧🇷UberlândiaMinas Gerais, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,641 mm rain

    Shares 21 of your 21 great-fit crops

    95%match
  20. 20

    🇧🇷Cocalzinho de GoiásGoiás, Brazil

    Zone 11b · No frost · 0 chill hours · 60 in rainZone 11b · No frost · 0 chill hours · 1,524 mm rain

    Shares 21 of your 21 great-fit crops

    94%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 Carmelo: 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.