Climatch

Land with a climate like Pleiku

🇻🇳Pleiku, Gia Lai, Vietnam

The towns with the closest growing climate to Pleiku are Ea Drăng, Vietnam (97% match), Buôn Ma Thuột and Virajpet. About 121,000 sq mi of land in 13 countries matches 80% or better, most of it in Rakhine, Myanmar, Karnataka, India and Kayin State, Myanmar.The towns with the closest growing climate to Pleiku are Ea Drăng, Vietnam (97% match), Buôn Ma Thuột and Virajpet. About 314,000 km² of land in 13 countries matches 80% or better, most of it in Rakhine, Myanmar, Karnataka, India and Kayin State, Myanmar.

Your growing climate

Zone 12a · No frost · 0 chill hours · 92 in rainZone 12a · No frost · 0 chill hours · 2,326 mm rain

What grows in Pleiku →

Regions with the most land like yours

  1. 1

    🇲🇲Rakhine, Myanmar

    7,300 sq mi19k km² matching 80% or better

    For example Sittwe (69), Ann (69)

  2. 2

    🇮🇳Karnataka, India

    5,000 sq mi13k km² matching 80% or better

    For example Virajpet (89), Kushālnagar (86)

  3. 3

    🇲🇲Kayin State, Myanmar

    4,000 sq mi10k km² matching 80% or better

    For example Myawaddy (75), Payathonzu (73)

  4. 4

    🇹🇭Tak, Thailand

    4,000 sq mi10k km² matching 80% or better

    For example Mae Sot (73), Mae Ramat (70)

  5. 5

    🇻🇳Dak Lak, Vietnam

    3,800 sq mi9,800 km² matching 80% or better

    For example Ea Drăng (97), Ea Pốc (92)

  6. 6

    🇰🇭Ratanakiri, Cambodia

    3,800 sq mi9,800 km² matching 80% or better

    For example Banlung (85), Lumphat (73)

  7. 7

    🇱🇦Xékong, Laos

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

    For example Sekong (70)

  8. 8

    🇻🇳Gia Lai, Vietnam

    3,500 sq mi9,000 km² matching 80% or better

    For example A Yun Pa (60)

  9. 9

    🇹🇭Chiang Mai, Thailand

    3,100 sq mi8,100 km² matching 80% or better

    For example San Kamphaeng (68), Hang Dong (67)

  10. 10

    🇻🇳Lam Dong, Vietnam

    2,900 sq mi7,600 km² matching 80% or better

    For example Ea T’ling (86), Gia Nghĩa (84)

  11. 11

    🇮🇳Andhra Pradesh, India

    2,800 sq mi7,400 km² matching 80% or better

    For example Tirumala (57), Rampachodavaram (56)

  12. 12

    🇱🇦Vientiane, Laos

    2,800 sq mi7,300 km² matching 80% or better

    For example Vang Vieng (76)

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

    🇻🇳Ea DrăngDak Lak, Vietnam

    Zone 12a · No frost · 0 chill hours · 68 in rainZone 12a · No frost · 0 chill hours · 1,721 mm rain

    Shares 23 of your 23 great-fit crops

    97%match
  2. 2

    🇻🇳Buôn Ma ThuộtDak Lak, Vietnam

    Zone 12b · No frost · 0 chill hours · 65 in rainZone 12b · No frost · 0 chill hours · 1,661 mm rain

    Shares 20 of your 23 great-fit crops

    90%match
  3. 3

    🇮🇳VirajpetKarnataka, India

    Zone 12a · No frost · 0 chill hours · 124 in rainZone 12a · No frost · 0 chill hours · 3,137 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: potato

    89%match
  4. 4

    🇻🇳Phước HòaDong Nai, Vietnam

    Zone 12b · No frost · 0 chill hours · 86 in rainZone 12b · No frost · 0 chill hours · 2,192 mm rain

    Shares 20 of your 23 great-fit crops

    89%match
  5. 5

    🇬🇹CuilapaSanta Rosa Department, Guatemala

    Zone 12a · No frost · 0 chill hours · 71 in rainZone 12a · No frost · 0 chill hours · 1,816 mm rain

    Shares 22 of your 23 great-fit crops

    87%match
  6. 6

    🇱🇦Ban LaongamSalavan Province, Laos

    Zone 12a · No frost · 0 chill hours · 74 in rainZone 12a · No frost · 0 chill hours · 1,883 mm rain

    Shares 17 of your 23 great-fit crops

    86%match
  7. 7

    🇸🇻San SalvadorSan Salvador Department, El Salvador

    Zone 12a · No frost · 0 chill hours · 76 in rainZone 12a · No frost · 0 chill hours · 1,928 mm rain

    Shares 19 of your 23 great-fit crops

    86%match
  8. 8

    🇸🇻Santa AnaSanta Ana Department, El Salvador

    Zone 12a · No frost · 0 chill hours · 66 in rainZone 12a · No frost · 0 chill hours · 1,679 mm rain

    Shares 19 of your 23 great-fit crops

    85%match
  9. 9

    🇮🇳GudalurTamil Nadu, India

    Zone 12a · No frost · 0 chill hours · 104 in rainZone 12a · No frost · 0 chill hours · 2,650 mm rain

    Shares 21 of your 23 great-fit crops · Also great there: potato

    85%match
  10. 10

    🇰🇭BanlungRatanakiri, Cambodia

    Zone 12b · No frost · 0 chill hours · 95 in rainZone 12b · No frost · 0 chill hours · 2,417 mm rain

    Shares 16 of your 23 great-fit crops

    85%match
  11. 11

    🇮🇳SakleshpurKarnataka, India

    Zone 12a · No frost · 0 chill hours · 116 in rainZone 12a · No frost · 0 chill hours · 2,957 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: potato

    85%match
  12. 12

    🇵🇭ItogonCordillera, Philippines

    Zone 12a · No frost · 0 chill hours · 89 in rainZone 12a · No frost · 0 chill hours · 2,249 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: potato

    84%match
  13. 13

    🇮🇳KalpattaKerala, India

    Zone 12a · No frost · 0 chill hours · 151 in rainZone 12a · No frost · 0 chill hours · 3,832 mm rain

    Shares 13 of your 23 great-fit crops · Also great there: potato

    84%match
  14. 14

    🇻🇳Gia NghĩaLam Dong, Vietnam

    Zone 12a · No frost · 0 chill hours · 79 in rainZone 12a · No frost · 0 chill hours · 2,019 mm rain

    Shares 23 of your 23 great-fit crops · Also great there: potato

    84%match
  15. 15

    🇮🇳ChikmagalūrKarnataka, India

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

    Shares 23 of your 23 great-fit crops · Also great there: potato

    83%match
  16. 16

    🇸🇻San VicenteSan Vicente Department, El Salvador

    Zone 12b · No frost · 0 chill hours · 81 in rainZone 12b · No frost · 0 chill hours · 2,059 mm rain

    Shares 17 of your 23 great-fit crops

    83%match
  17. 17

    🇬🇹PalínEscuintla, Guatemala

    Zone 12a · No frost · 0 chill hours · 70 in rainZone 12a · No frost · 0 chill hours · 1,772 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: potato

    83%match
  18. 18

    🇮🇳TīrthahalliKarnataka, India

    Zone 12a · No frost · 0 chill hours · 153 in rainZone 12a · No frost · 0 chill hours · 3,893 mm rain

    Shares 12 of your 23 great-fit crops

    83%match
  19. 19

    🇮🇳SaihaMizoram, India

    Zone 11a · No frost · 0 chill hours · 120 in rainZone 11a · No frost · 0 chill hours · 3,044 mm rain

    Shares 20 of your 23 great-fit crops · Also great there: potato

    81%match
  20. 20

    🇬🇹San Pedro AyampucGuatemala, Guatemala

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,516 mm rain

    Shares 22 of your 23 great-fit crops · Also great there: potato

    81%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 Pleiku: 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.