Climatch

Land with a climate like Coyah

🇬🇳Coyah, Kindia, Guinea

The towns with the closest growing climate to Coyah are Fria, Guinea (96% match), Kankauli and Kumta. About 40,000 sq mi of land in 4 countries matches 80% or better, most of it in Kindia, Guinea, Ayeyarwady, Myanmar and Boké Region, Guinea.The towns with the closest growing climate to Coyah are Fria, Guinea (96% match), Kankauli and Kumta. About 105,000 km² of land in 4 countries matches 80% or better, most of it in Kindia, Guinea, Ayeyarwady, Myanmar and Boké Region, Guinea.

Your growing climate

Zone 13a · No frost · 0 chill hours · 137 in rainZone 13a · No frost · 0 chill hours · 3,475 mm rain

What grows in Coyah →

Regions with the most land like yours

  1. 1

    🇬🇳Kindia, Guinea

    8,200 sq mi21k km² matching 80% or better

    For example Télimélé (72), Kolenté (67)

  2. 2

    🇲🇲Ayeyarwady, Myanmar

    7,200 sq mi19k km² matching 80% or better

    For example Wakema (84), Pathein (83)

  3. 3

    🇬🇳Boké Region, Guinea

    7,100 sq mi18k km² matching 80% or better

    For example Fria (96), Sangarédi (85)

  4. 4

    🇮🇳Maharashtra, India

    4,900 sq mi13k km² matching 80% or better

    For example Kankauli (88), Kudāl (86)

  5. 5

    🇮🇳Karnataka, India

    4,100 sq mi11k km² matching 80% or better

    For example Kumta (87), Ankola (86)

  6. 6

    🇲🇲Yangon, Myanmar

    3,700 sq mi9,600 km² matching 80% or better

    For example Kayan (82), Mingala Tangnyunt (82)

  7. 7

    🇮🇳Goa, India

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

    For example Curchorem (90), Bicholim (90)

  8. 8

    🇬🇳Conakry, Guinea

    1,500 sq mi3,800 km² matching 80% or better

  9. 9

    🇸🇱North West, Sierra Leone

    1,200 sq mi3,100 km² matching 80% or better

    For example Port Loko (73)

  10. 10

    🇸🇱Western Area, Sierra Leone

    300 sq mi800 km² matching 80% or better

    For example Freetown (74), Waterloo (59)

  11. 11

    🇲🇲Bago Region, Myanmar

    300 sq mi700 km² matching 80% or better

    For example Thanatpin (80), Nyaunglebin (79)

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

    🇬🇳FriaBoké Region, Guinea

    Zone 12b · No frost · 0 chill hours · 115 in rainZone 12b · No frost · 0 chill hours · 2,919 mm rain

    Shares 12 of your 12 great-fit crops · Also great there: cassava

    96%match
  2. 2

    🇮🇳KankauliMaharashtra, India

    Zone 12b · No frost · 0 chill hours · 171 in rainZone 12b · No frost · 0 chill hours · 4,345 mm rain

    Shares 10 of your 12 great-fit crops · Also great there: strawberry

    88%match
  3. 3

    🇮🇳KumtaKarnataka, India

    Zone 13a · No frost · 0 chill hours · 149 in rainZone 13a · No frost · 0 chill hours · 3,774 mm rain

    Shares 10 of your 12 great-fit crops

    87%match
  4. 4

    🇮🇳SāvantvādiMaharashtra, India

    Zone 12b · No frost · 0 chill hours · 166 in rainZone 12b · No frost · 0 chill hours · 4,210 mm rain

    Shares 10 of your 12 great-fit crops · Also great there: strawberry

    85%match
  5. 5

    🇬🇳SangarédiBoké Region, Guinea

    Zone 12b · No frost · 0 chill hours · 91 in rainZone 12b · No frost · 0 chill hours · 2,308 mm rain

    Shares 12 of your 12 great-fit crops · Also great there: cassava, citrus

    85%match
  6. 6

    🇮🇳BhatkalKarnataka, India

    Zone 13a · No frost · 0 chill hours · 172 in rainZone 13a · No frost · 0 chill hours · 4,366 mm rain

    Shares 9 of your 12 great-fit crops

    84%match
  7. 7

    🇮🇳ChiplūnMaharashtra, India

    Zone 12b · No frost · 0 chill hours · 165 in rainZone 12b · No frost · 0 chill hours · 4,181 mm rain

    Shares 10 of your 12 great-fit crops · Also great there: strawberry

    84%match
  8. 8

    🇮🇳KarwarKarnataka, India

    Zone 13a · No frost · 0 chill hours · 133 in rainZone 13a · No frost · 0 chill hours · 3,377 mm rain

    Shares 12 of your 12 great-fit crops

    84%match
  9. 9

    🇬🇳BokéBoké Region, Guinea

    Zone 12b · No frost · 0 chill hours · 106 in rainZone 12b · No frost · 0 chill hours · 2,705 mm rain

    Shares 12 of your 12 great-fit crops · Also great there: cassava, citrus

    84%match
  10. 10

    🇮🇳UdupiKarnataka, India

    Zone 13a · No frost · 0 chill hours · 175 in rainZone 13a · No frost · 0 chill hours · 4,450 mm rain

    Shares 9 of your 12 great-fit crops

    83%match
  11. 11

    🇲🇲PatheinAyeyarwady, Myanmar

    Zone 12b · No frost · 0 chill hours · 121 in rainZone 12b · No frost · 0 chill hours · 3,067 mm rain

    Shares 12 of your 12 great-fit crops · Also great there: cassava

    83%match
  12. 12

    🇲🇲KyonpyawAyeyarwady, Myanmar

    Zone 12a · No frost · 0 chill hours · 99 in rainZone 12a · No frost · 0 chill hours · 2,524 mm rain

    Shares 12 of your 12 great-fit crops · Also great there: cassava, citrus

    82%match
  13. 13

    🇮🇳RatnagiriMaharashtra, India

    Zone 12b · No frost · 0 chill hours · 98 in rainZone 12b · No frost · 0 chill hours · 2,483 mm rain

    Shares 12 of your 12 great-fit crops · Also great there: cassava, citrus, avocado

    81%match
  14. 14

    🇲🇲DawbonAyeyarwady, Myanmar

    Zone 12b · No frost · 0 chill hours · 92 in rainZone 12b · No frost · 0 chill hours · 2,349 mm rain

    Shares 12 of your 12 great-fit crops · Also great there: cassava, citrus

    81%match
  15. 15

    🇲🇲LabuttaAyeyarwady, Myanmar

    Zone 12b · No frost · 0 chill hours · 122 in rainZone 12b · No frost · 0 chill hours · 3,099 mm rain

    Shares 12 of your 12 great-fit crops · Also great there: cassava

    81%match
  16. 16

    🇲🇲YangonMyanmar

    Zone 12b · No frost · 0 chill hours · 106 in rainZone 12b · No frost · 0 chill hours · 2,686 mm rain

    Shares 12 of your 12 great-fit crops · Also great there: cassava, citrus

    81%match
  17. 17

    🇮🇳MormugaoGoa, India

    Zone 13a · No frost · 0 chill hours · 111 in rainZone 13a · No frost · 0 chill hours · 2,828 mm rain

    Shares 12 of your 12 great-fit crops · Also great there: cassava

    81%match
  18. 18

    🇮🇳MangaluruKarnataka, India

    Zone 13a · No frost · 0 chill hours · 121 in rainZone 13a · No frost · 0 chill hours · 3,068 mm rain

    Shares 11 of your 12 great-fit crops · Also great there: cassava

    81%match
  19. 19

    🇲🇲MyaungmyaAyeyarwady, Myanmar

    Zone 12b · No frost · 0 chill hours · 109 in rainZone 12b · No frost · 0 chill hours · 2,761 mm rain

    Shares 12 of your 12 great-fit crops · Also great there: cassava

    81%match
  20. 20

    🇲🇲HlaingthayaYangon, Myanmar

    Zone 12b · No frost · 0 chill hours · 101 in rainZone 12b · No frost · 0 chill hours · 2,578 mm rain

    Shares 12 of your 12 great-fit crops · Also great there: cassava, citrus

    80%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 Coyah: 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.