Climatch

Land with a climate like Sigli

🇮🇩Sigli, Aceh, Indonesia

The towns with the closest growing climate to Sigli are Bireun, Indonesia (99% match), Lhokseumawe and Sabang. About 435,000 sq mi of land in 16 countries matches 80% or better, most of it in Sabah, Malaysia, Central Sulawesi, Indonesia and Riau, Indonesia.The towns with the closest growing climate to Sigli are Bireun, Indonesia (99% match), Lhokseumawe and Sabang. About 1.1 million km² of land in 16 countries matches 80% or better, most of it in Sabah, Malaysia, Central Sulawesi, Indonesia and Riau, Indonesia.

Your growing climate

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

What grows in Sigli →

Regions with the most land like yours

  1. 1

    🇲🇾Sabah, Malaysia

    20k sq mi52k km² matching 80% or better

    For example Kudat (93), Lahad Datu (92)

  2. 2

    🇮🇩Central Sulawesi, Indonesia

    14k sq mi36k km² matching 80% or better

    For example Palu (88), Bungku (86)

  3. 3

    🇮🇩Riau, Indonesia

    13k sq mi35k km² matching 80% or better

    For example Pekanbaru (85), Batam (84)

  4. 4

    🇲🇾Johor, Malaysia

    13k sq mi34k km² matching 80% or better

    For example Segamat (93), Batu Anam (93)

  5. 5

    🇧🇷Amazonas, Brazil

    11k sq mi29k km² matching 80% or better

    For example Santa Isabel do Rio Negro (85), Barcelos (81)

  6. 6

    🇮🇩West Kalimantan, Indonesia

    11k sq mi28k km² matching 80% or better

    For example Kota Sambas (86), Pemangkat (85)

  7. 7

    🇵🇭Central Visayas, Philippines

    10k sq mi26k km² matching 80% or better

    For example Loboc (90), Tagbilaran City (90)

  8. 8

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    9,800 sq mi25k km² matching 80% or better

    For example Bongao (88), Sitangkai (87)

  9. 9

    🇲🇾Pahang, Malaysia

    8,400 sq mi22k km² matching 80% or better

    For example Bandar Tun Razak (92), FELDA Chini (91)

  10. 10

    🇵🇭Bicol Region, Philippines

    5,500 sq mi14k km² matching 80% or better

    For example Masbate (83), Esperanza (81)

  11. 11

    🇱🇰Eastern Province, Sri Lanka

    5,300 sq mi14k km² matching 80% or better

    For example Ampara (87), Pottuvil (85)

  12. 12

    🇨🇩Tshuapa, Democratic Republic of the Congo

    3,900 sq mi10k km² matching 80% or better

    For example Boende (82)

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

    🇮🇩BireunAceh, Indonesia

    Zone 13b · No frost · 0 chill hours · 66 in rainZone 13b · No frost · 0 chill hours · 1,666 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  2. 2

    🇮🇩LhokseumaweAceh, Indonesia

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

    Shares 18 of your 18 great-fit crops

    98%match
  3. 3

    🇮🇩SabangAceh, Indonesia

    Zone 13b · No frost · 0 chill hours · 90 in rainZone 13b · No frost · 0 chill hours · 2,277 mm rain

    Shares 18 of your 18 great-fit crops

    95%match
  4. 4

    🇲🇾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

    94%match
  5. 5

    🇲🇾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

    93%match
  6. 6

    🇲🇾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

    93%match
  7. 7

    🇲🇾KudatSabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 91 in rainZone 13b · No frost · 0 chill hours · 2,305 mm rain

    Shares 18 of your 18 great-fit crops

    93%match
  8. 8

    🇲🇾Lahad DatuSabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 79 in rainZone 13b · No frost · 0 chill hours · 1,996 mm rain

    Shares 18 of your 18 great-fit crops

    92%match
  9. 9

    🇵🇭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

    92%match
  10. 10

    🇲🇾Bandar Tun RazakPahang, Malaysia

    Zone 13b · No frost · 0 chill hours · 106 in rainZone 13b · No frost · 0 chill hours · 2,699 mm rain

    Shares 17 of your 18 great-fit crops

    92%match
  11. 11

    🇲🇾SerembanNegeri Sembilan, Malaysia

    Zone 13b · No frost · 0 chill hours · 87 in rainZone 13b · No frost · 0 chill hours · 2,205 mm rain

    Shares 18 of your 18 great-fit crops

    91%match
  12. 12

    🇮🇩Namrole↻Seasons flipped. Maluku, Indonesia

    Zone 13a · No frost · 0 chill hours · 93 in rainZone 13a · No frost · 0 chill hours · 2,361 mm rain

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

    91%match
  13. 13

    🇵🇭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

    90%match
  14. 14

    🇮🇩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

    90%match
  15. 15

    🇵🇭MatiDavao Region, Philippines

    Zone 13b · No frost · 0 chill hours · 76 in rainZone 13b · No frost · 0 chill hours · 1,939 mm rain

    Shares 18 of your 18 great-fit crops

    90%match
  16. 16

    🇲🇾MaranPahang, Malaysia

    Zone 13b · No frost · 0 chill hours · 104 in rainZone 13b · No frost · 0 chill hours · 2,635 mm rain

    Shares 17 of your 18 great-fit crops

    90%match
  17. 17

    🇲🇾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

    90%match
  18. 18

    🇹🇭Ko SamuiSurat Thani, Thailand

    Zone 13b · No frost · 0 chill hours · 67 in rainZone 13b · No frost · 0 chill hours · 1,712 mm rain

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

    90%match
  19. 19

    🇲🇾AmpangKuala Lumpur, Malaysia

    Zone 13b · No frost · 0 chill hours · 105 in rainZone 13b · No frost · 0 chill hours · 2,671 mm rain

    Shares 16 of your 18 great-fit crops

    89%match
  20. 20

    🇲🇾KeningauSabah, Malaysia

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,671 mm rain

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

    89%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 Sigli: 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.