Climatch

Land with a climate like Bengkayang

🇮🇩Bengkayang, West Kalimantan, Indonesia

The towns with the closest growing climate to Bengkayang are Sibu Jaya, Malaysia (99% match), Sri Aman and Sibu. About 2.0 million sq mi of land in 30 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Sabah, Malaysia.The towns with the closest growing climate to Bengkayang are Sibu Jaya, Malaysia (99% match), Sri Aman and Sibu. About 5.2 million km² of land in 30 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Sabah, Malaysia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 122 in rainZone 13a · No frost · 0 chill hours · 3,106 mm rain

What grows in Bengkayang →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    89k sq mi230k km² matching 80% or better

    For example Santa Isabel do Rio Negro (96), São Gabriel da Cachoeira (96)

  2. 2

    🇲🇾Sarawak, Malaysia

    50k sq mi129k km² matching 80% or better

    For example Tebedu (99), Pakan (99)

  3. 3

    🇲🇾Sabah, Malaysia

    30k sq mi78k km² matching 80% or better

    For example Sandakan (96), Lahad Datu (94)

  4. 4

    🇮🇩North Sumatra, Indonesia

    26k sq mi68k km² matching 80% or better

    For example Bandar (99), Rantauprapat (99)

  5. 5

    🇮🇩West Kalimantan, Indonesia

    25k sq mi65k km² matching 80% or better

    For example Sintang (98), Pontianak (92)

  6. 6

    🇵🇪Loreto, Peru

    23k sq mi60k km² matching 80% or better

    For example Iquitos (89), San Juan (89)

  7. 7

    🇮🇩Jambi, Indonesia

    23k sq mi59k km² matching 80% or better

    For example Muara Bungo (93), Kuala Tungkal (91)

  8. 8

    🇵🇭Bicol Region, Philippines

    18k sq mi46k km² matching 80% or better

    For example Irosin (97), Tiwi (96)

  9. 9

    🇵🇭Eastern Visayas, Philippines

    16k sq mi40k km² matching 80% or better

    For example Burauen (97), Baybay (97)

  10. 10

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi39k km² matching 80% or better

    For example Marawi City (90), Jolo (89)

  11. 11

    🇲🇾Johor, Malaysia

    13k sq mi35k km² matching 80% or better

    For example Bandar Tenggara (99), Kulai (99)

  12. 12

    🇨🇴Putumayo Department, Colombia

    11k sq mi29k km² matching 80% or better

    For example Puerto Leguízamo (98), Orito (87)

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

    🇲🇾Sibu JayaSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 139 in rainZone 13b · No frost · 0 chill hours · 3,530 mm rain

    Shares 12 of your 14 great-fit crops

    99%match
  2. 2

    🇲🇾Sri AmanSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 142 in rainZone 13b · No frost · 0 chill hours · 3,608 mm rain

    Shares 11 of your 14 great-fit crops

    99%match
  3. 3

    🇲🇾SibuSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 138 in rainZone 13b · No frost · 0 chill hours · 3,506 mm rain

    Shares 12 of your 14 great-fit crops

    99%match
  4. 4

    🇲🇾SerianSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 154 in rainZone 13b · No frost · 0 chill hours · 3,904 mm rain

    Shares 11 of your 14 great-fit crops

    99%match
  5. 5

    🇲🇾SaratokSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 144 in rainZone 13b · No frost · 0 chill hours · 3,669 mm rain

    Shares 10 of your 14 great-fit crops

    99%match
  6. 6

    🇲🇾BelagaSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 148 in rainZone 13b · No frost · 0 chill hours · 3,760 mm rain

    Shares 8 of your 14 great-fit crops

    99%match
  7. 7

    🇮🇩Balai PungutRiau, Indonesia

    Zone 13b · No frost · 0 chill hours · 129 in rainZone 13b · No frost · 0 chill hours · 3,287 mm rain

    Shares 14 of your 14 great-fit crops

    99%match
  8. 8

    🇲🇾KapitSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 156 in rainZone 13b · No frost · 0 chill hours · 3,975 mm rain

    Shares 8 of your 14 great-fit crops

    99%match
  9. 9

    🇮🇩RantauprapatNorth Sumatra, Indonesia

    Zone 13b · No frost · 0 chill hours · 107 in rainZone 13b · No frost · 0 chill hours · 2,709 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: macadamia, mango, citrus

    99%match
  10. 10

    🇲🇾SebauhSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 135 in rainZone 13b · No frost · 0 chill hours · 3,437 mm rain

    Shares 11 of your 14 great-fit crops

    99%match
  11. 11

    🇲🇾DaroSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 138 in rainZone 13b · No frost · 0 chill hours · 3,515 mm rain

    Shares 12 of your 14 great-fit crops

    99%match
  12. 12

    🇲🇾BintuluSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 133 in rainZone 13b · No frost · 0 chill hours · 3,372 mm rain

    Shares 13 of your 14 great-fit crops

    99%match
  13. 13

    🇮🇩SubulussalamAceh, Indonesia

    Zone 13a · No frost · 0 chill hours · 139 in rainZone 13a · No frost · 0 chill hours · 3,538 mm rain

    Shares 12 of your 14 great-fit crops

    99%match
  14. 14

    🇲🇾NiahSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 125 in rainZone 13b · No frost · 0 chill hours · 3,166 mm rain

    Shares 14 of your 14 great-fit crops

    99%match
  15. 15

    🇲🇾Kuala LipisPahang, Malaysia

    Zone 13a · No frost · 0 chill hours · 108 in rainZone 13a · No frost · 0 chill hours · 2,751 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: macadamia, mango

    99%match
  16. 16

    🇮🇩Teluk DalamNorth Sumatra, Indonesia

    Zone 13b · No frost · 0 chill hours · 141 in rainZone 13b · No frost · 0 chill hours · 3,586 mm rain

    Shares 11 of your 14 great-fit crops

    99%match
  17. 17

    🇲🇾KluangJohor, Malaysia

    Zone 13b · No frost · 0 chill hours · 114 in rainZone 13b · No frost · 0 chill hours · 2,888 mm rain

    Shares 14 of your 14 great-fit crops · Also great there: mango

    99%match
  18. 18

    🇲🇾MaranPahang, Malaysia

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

    Shares 14 of your 14 great-fit crops · Also great there: macadamia, citrus, mango

    99%match
  19. 19

    🇮🇩SintangWest Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 139 in rainZone 13b · No frost · 0 chill hours · 3,528 mm rain

    Shares 11 of your 14 great-fit crops

    98%match
  20. 20

    🇮🇩Fakfak↻Seasons flipped. Papua, Indonesia

    Zone 13a · No frost · 0 chill hours · 135 in rainZone 13a · No frost · 0 chill hours · 3,438 mm rain

    Shares 11 of your 14 great-fit crops

    98%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 Bengkayang: 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.