Climatch

Land with a climate like Lhokseumawe

🇮🇩Lhokseumawe, Aceh, Indonesia

The towns with the closest growing climate to Lhokseumawe are Reuleuet, Indonesia (99% match), Banda Aceh and Sigli. About 1.3 million sq mi of land in 28 countries matches 80% or better, most of it in Amazonas, Brazil, Sabah, Malaysia and Central Sulawesi, Indonesia.The towns with the closest growing climate to Lhokseumawe are Reuleuet, Indonesia (99% match), Banda Aceh and Sigli. About 3.4 million km² of land in 28 countries matches 80% or better, most of it in Amazonas, Brazil, Sabah, Malaysia and Central Sulawesi, Indonesia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,623 mm rain

What grows in Lhokseumawe →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    80k sq mi207k km² matching 80% or better

    For example Santa Isabel do Rio Negro (93), Barcelos (92)

  2. 2

    🇲🇾Sabah, Malaysia

    26k sq mi67k km² matching 80% or better

    For example Lahad Datu (95), Semporna (94)

  3. 3

    🇮🇩Central Sulawesi, Indonesia

    20k sq mi53k km² matching 80% or better

    For example Luwuk (94), Bungku (92)

  4. 4

    🇧🇷Pará, Brazil

    19k sq mi50k km² matching 80% or better

    For example Almeirim (83), Gurupá (81)

  5. 5

    🇮🇩North Sumatra, Indonesia

    16k sq mi42k km² matching 80% or better

    For example Kisaran (97), Tanjungbalai (97)

  6. 6

    🇲🇾Sarawak, Malaysia

    16k sq mi42k km² matching 80% or better

    For example Miri (87), Niah (86)

  7. 7

    🇵🇪Loreto, Peru

    16k sq mi41k km² matching 80% or better

    For example Contamana (86), Yurimaguas (84)

  8. 8

    🇮🇩West Kalimantan, Indonesia

    16k sq mi40k km² matching 80% or better

    For example Sungai Raya (88), Pemangkat (87)

  9. 9

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    14k sq mi36k km² matching 80% or better

    For example Bongao (95), Sitangkai (94)

  10. 10

    🇲🇾Johor, Malaysia

    13k sq mi35k km² matching 80% or better

    For example Batu Anam (96), Taman Pelangi (96)

  11. 11

    🇵🇭Central Visayas, Philippines

    13k sq mi34k km² matching 80% or better

    For example Loboc (97), Tagbilaran City (97)

  12. 12

    🇵🇭Mimaropa, Philippines

    13k sq mi33k km² matching 80% or better

    For example Mapun (96), Brookes Point (92)

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

    🇮🇩ReuleuetAceh, Indonesia

    Zone 13b · No frost · 0 chill hours · 70 in rainZone 13b · No frost · 0 chill hours · 1,777 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  2. 2

    🇮🇩Banda AcehAceh, Indonesia

    Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,108 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  3. 3

    🇮🇩SigliAceh, Indonesia

    Zone 13b · No frost · 0 chill hours · 72 in rainZone 13b · No frost · 0 chill hours · 1,817 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  4. 4

    🇮🇩LangsaAceh, Indonesia

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,351 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  5. 5

    🇵🇭Tagbilaran CityCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 52 in rainZone 13b · No frost · 0 chill hours · 1,325 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: fig

    97%match
  6. 6

    🇲🇾SitiawanPerak, Malaysia

    Zone 13b · No frost · 0 chill hours · 89 in rainZone 13b · No frost · 0 chill hours · 2,254 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  7. 7

    🇮🇩TanjungbalaiNorth Sumatra, Indonesia

    Zone 13b · No frost · 0 chill hours · 85 in rainZone 13b · No frost · 0 chill hours · 2,159 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  8. 8

    🇵🇭MalitaDavao Region, Philippines

    Zone 13b · No frost · 0 chill hours · 69 in rainZone 13b · No frost · 0 chill hours · 1,751 mm rain

    Shares 18 of your 18 great-fit crops

    96%match
  9. 9

    🇮🇩Pangkalan BrandanNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 91 in rainZone 13a · No frost · 0 chill hours · 2,322 mm rain

    Shares 18 of your 18 great-fit crops

    96%match
  10. 10

    🇵🇭MapunMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,104 mm rain

    Shares 18 of your 18 great-fit crops

    96%match
  11. 11

    🇲🇾RompinNegeri Sembilan, Malaysia

    Zone 13b · No frost · 0 chill hours · 89 in rainZone 13b · No frost · 0 chill hours · 2,268 mm rain

    Shares 18 of your 18 great-fit crops

    96%match
  12. 12

    🇵🇭DigosDavao Region, Philippines

    Zone 13b · No frost · 0 chill hours · 69 in rainZone 13b · No frost · 0 chill hours · 1,755 mm rain

    Shares 17 of your 18 great-fit crops

    96%match
  13. 13

    🇲🇾SegamatJohor, Malaysia

    Zone 13b · No frost · 0 chill hours · 92 in rainZone 13b · No frost · 0 chill hours · 2,340 mm rain

    Shares 18 of your 18 great-fit crops

    95%match
  14. 14

    🇵🇭BongaoAutonomous Region in Muslim Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 62 in rainZone 13b · No frost · 0 chill hours · 1,577 mm rain

    Shares 18 of your 18 great-fit crops

    95%match
  15. 15

    🇲🇾TemerluhPahang, Malaysia

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,485 mm rain

    Shares 18 of your 18 great-fit crops

    95%match
  16. 16

    🇵🇭ToledoCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 67 in rainZone 13b · No frost · 0 chill hours · 1,694 mm rain

    Shares 17 of your 18 great-fit crops

    95%match
  17. 17

    🇮🇩Sanana↻Seasons flipped. North Maluku, Indonesia

    Zone 13b · No frost · 0 chill hours · 76 in rainZone 13b · No frost · 0 chill hours · 1,934 mm rain

    Shares 17 of your 18 great-fit crops

    95%match
  18. 18

    🇵🇭SibongaCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 71 in rainZone 13b · No frost · 0 chill hours · 1,815 mm rain

    Shares 18 of your 18 great-fit crops

    95%match
  19. 19

    🇮🇩Kawasi↻Seasons flipped. North Maluku, Indonesia

    Zone 13b · No frost · 0 chill hours · 66 in rainZone 13b · No frost · 0 chill hours · 1,667 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: strawberry

    95%match
  20. 20

    🇵🇭JagnaCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,032 mm rain

    Shares 18 of your 18 great-fit crops

    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 Lhokseumawe: 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.