Climatch

Land with a climate like Labé

🇬🇳Labé, Labé Region, Guinea

The towns with the closest growing climate to Labé are Mamou, Guinea (93% match), Dogomet and Gutin. About 118,000 sq mi of land in 9 countries matches 80% or better, most of it in Goiás, Brazil, Oromiya, Ethiopia and Ouham-Pendé, Central African Republic.The towns with the closest growing climate to Labé are Mamou, Guinea (93% match), Dogomet and Gutin. About 307,000 km² of land in 9 countries matches 80% or better, most of it in Goiás, Brazil, Oromiya, Ethiopia and Ouham-Pendé, Central African Republic.

Your growing climate

Zone 11b · No frost · 0 chill hours · 58 in rainZone 11b · No frost · 0 chill hours · 1,477 mm rain

What grows in Labé →

Regions with the most land like yours

  1. 1

    🇧🇷Goiás, Brazil

    9,600 sq mi25k km² matching 80% or better

    For example Posse (84), Planaltina (78)

  2. 2

    🇪🇹Oromiya, Ethiopia

    8,300 sq mi21k km² matching 80% or better

    For example Gutin (87), Mendī (82)

  3. 3

    🇨🇫Ouham-Pendé, Central African Republic

    7,700 sq mi20k km² matching 80% or better

    For example Bocaranga (84), Bozoum (84)

  4. 4

    🇧🇷Bahia, Brazil

    7,600 sq mi20k km² matching 80% or better

    For example Luis Eduardo Magalhães (83), São Desidério (78)

  5. 5

    🇪🇹Bīnshangul Gumuz, Ethiopia

    6,800 sq mi18k km² matching 80% or better

    For example Dibate (86), Bambesi (82)

  6. 6

    🇬🇳Faranah, Guinea

    6,500 sq mi17k km² matching 80% or better

    For example Arfa Moussaïa (93), Dogomet (92)

  7. 7

    🇮🇳Karnataka, India

    5,500 sq mi14k km² matching 80% or better

    For example Saundatti (86), Bail-Hongal (84)

  8. 8

    🇬🇳Labé Region, Guinea

    5,000 sq mi13k km² matching 80% or better

  9. 9

    🇨🇫Haute-Kotto, Central African Republic

    4,200 sq mi11k km² matching 80% or better

    For example Bria (79)

  10. 10

    🇨🇫Nana-Mambéré, Central African Republic

    3,600 sq mi9,200 km² matching 80% or better

    For example Bouar (79), Baboua (79)

  11. 11

    🇨🇲Adamaoua, Cameroon

    3,600 sq mi9,200 km² matching 80% or better

    For example Meïganga (79), Ngaoundal (73)

  12. 12

    🇬🇳Mamou Region, Guinea

    3,200 sq mi8,400 km² matching 80% or better

    For example Mamou (93)

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

    🇬🇳MamouMamou Region, Guinea

    Zone 12a · No frost · 0 chill hours · 65 in rainZone 12a · No frost · 0 chill hours · 1,650 mm rain

    Shares 18 of your 21 great-fit crops

    93%match
  2. 2

    🇬🇳DogometFaranah, Guinea

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

    Shares 16 of your 21 great-fit crops

    92%match
  3. 3

    🇪🇹GutinOromiya, Ethiopia

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,258 mm rain

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

    87%match
  4. 4

    🇬🇳BankoFaranah, Guinea

    Zone 11b · No frost · 0 chill hours · 54 in rainZone 11b · No frost · 0 chill hours · 1,374 mm rain

    Shares 15 of your 21 great-fit crops

    87%match
  5. 5

    🇪🇹DibateBīnshangul Gumuz, Ethiopia

    Zone 11b · No frost · 0 chill hours · 59 in rainZone 11b · No frost · 0 chill hours · 1,487 mm rain

    Shares 21 of your 21 great-fit crops

    86%match
  6. 6

    🇧🇷Posse↻Seasons flipped. Goiás, Brazil

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

    Shares 18 of your 21 great-fit crops

    84%match
  7. 7

    🇨🇫BocarangaOuham-Pendé, Central African Republic

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,236 mm rain

    Shares 20 of your 21 great-fit crops

    84%match
  8. 8

    🇨🇫BozoumOuham-Pendé, Central African Republic

    Zone 12a · No frost · 0 chill hours · 47 in rainZone 12a · No frost · 0 chill hours · 1,197 mm rain

    Shares 17 of your 21 great-fit crops

    84%match
  9. 9

    🇧🇷Luis Eduardo Magalhães↻Seasons flipped. Bahia, Brazil

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

    Shares 18 of your 21 great-fit crops

    83%match
  10. 10

    🇪🇹MendīOromiya, Ethiopia

    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

    82%match
  11. 11

    🇪🇹BambesiBīnshangul Gumuz, Ethiopia

    Zone 11b · No frost · 0 chill hours · 47 in rainZone 11b · No frost · 0 chill hours · 1,185 mm rain

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

    82%match
  12. 12

    🇪🇹ĀsosaBīnshangul Gumuz, Ethiopia

    Zone 12a · No frost · 0 chill hours · 41 in rainZone 12a · No frost · 0 chill hours · 1,045 mm rain

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

    82%match
  13. 13

    🇬🇳TéliméléKindia, Guinea

    Zone 12a · No frost · 0 chill hours · 83 in rainZone 12a · No frost · 0 chill hours · 2,112 mm rain

    Shares 15 of your 21 great-fit crops

    81%match
  14. 14

    🇮🇳BelagaviKarnataka, India

    Zone 12a · No frost · 0 chill hours · 87 in rainZone 12a · No frost · 0 chill hours · 2,216 mm rain

    Shares 18 of your 21 great-fit crops

    81%match
  15. 15

    🇮🇳HubballiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 895 mm rain

    Shares 17 of your 21 great-fit crops · Also great there: table and raisin grapes

    80%match
  16. 16

    🇮🇳ChikmagalūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 67 in rainZone 12a · No frost · 0 chill hours · 1,703 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: coffee (arabica), banana, tea

    80%match
  17. 17

    🇧🇷Dianópolis↻Seasons flipped. Tocantins, Brazil

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

    Shares 18 of your 21 great-fit crops

    80%match
  18. 18

    🇹🇿Uvinza↻Seasons flipped. Kigoma, Tanzania

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 863 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: table and raisin grapes, wine grapes

    80%match
  19. 19

    🇨🇲Garoua BoulaïEast, Cameroon

    Zone 12a · No frost · 0 chill hours · 52 in rainZone 12a · No frost · 0 chill hours · 1,331 mm rain

    Shares 21 of your 21 great-fit crops

    79%match
  20. 20

    🇨🇫BouarNana-Mambéré, Central African Republic

    Zone 12b · No frost · 0 chill hours · 51 in rainZone 12b · No frost · 0 chill hours · 1,296 mm rain

    Shares 18 of your 21 great-fit crops

    79%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 Labé: 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.