Climatch

Land with a climate like Singkawang

🇮🇩Singkawang, West Kalimantan, Indonesia

The towns with the closest growing climate to Singkawang are Bintulu, Malaysia (99% match), Sri Aman and Niah. About 1.8 million sq mi of land in 29 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Sabah, Malaysia.The towns with the closest growing climate to Singkawang are Bintulu, Malaysia (99% match), Sri Aman and Niah. About 4.7 million km² of land in 29 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Sabah, Malaysia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 126 in rainZone 13b · No frost · 0 chill hours · 3,190 mm rain

What grows in Singkawang →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    89k sq mi231k km² matching 80% or better

    For example Santa Isabel do Rio Negro (97), São Gabriel da Cachoeira (95)

  2. 2

    🇲🇾Sarawak, Malaysia

    50k sq mi128k km² matching 80% or better

    For example Tatau (99), Bintulu (99)

  3. 3

    🇲🇾Sabah, Malaysia

    28k sq mi73k km² matching 80% or better

    For example Sandakan (98), Lahad Datu (95)

  4. 4

    🇮🇩West Kalimantan, Indonesia

    25k sq mi65k km² matching 80% or better

    For example Sintang (99), Pontianak (93)

  5. 5

    🇮🇩North Sumatra, Indonesia

    25k sq mi64k km² matching 80% or better

    For example Rantauprapat (99), Bandar (99)

  6. 6

    🇮🇩Central Kalimantan, Indonesia

    22k sq mi57k km² matching 80% or better

    For example Pangkalanbuun (92), Sampit (86)

  7. 7

    🇵🇭Bicol Region, Philippines

    18k sq mi46k km² matching 80% or better

    For example Tiwi (99), Irosin (99)

  8. 8

    🇵🇪Loreto, Peru

    18k sq mi46k km² matching 80% or better

    For example Iquitos (87), San Juan (87)

  9. 9

    🇵🇭Eastern Visayas, Philippines

    16k sq mi40k km² matching 80% or better

    For example Burauen (99), Palo (99)

  10. 10

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi39k km² matching 80% or better

    For example Jolo (90), Parang (90)

  11. 11

    🇲🇾Johor, Malaysia

    13k sq mi35k km² matching 80% or better

    For example Kampung Larkin Lama (99), Kota Tinggi (99)

  12. 12

    🇨🇴Putumayo Department, Colombia

    10k sq mi26k km² matching 80% or better

    For example Puerto Leguízamo (95), Puerto Asís (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

    🇲🇾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
  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

    🇲🇾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
  4. 4

    🇲🇾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
  5. 5

    🇲🇾KanowitSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 140 in rainZone 13b · No frost · 0 chill hours · 3,547 mm rain

    Shares 11 of your 14 great-fit crops

    99%match
  6. 6

    🇲🇾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
  7. 7

    🇲🇾PakanSarawak, Malaysia

    Zone 13a · No frost · 0 chill hours · 135 in rainZone 13a · No frost · 0 chill hours · 3,418 mm rain

    Shares 12 of your 14 great-fit crops

    99%match
  8. 8

    🇮🇩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
  9. 9

    🇲🇾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
  10. 10

    🇲🇾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
  11. 11

    🇵🇭Magugpo PoblacionDavao Region, Philippines

    Zone 13b · No frost · 0 chill hours · 107 in rainZone 13b · No frost · 0 chill hours · 2,712 mm rain

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

    99%match
  12. 12

    🇸🇬SingaporeSingapore

    Zone 13b · No frost · 0 chill hours · 104 in rainZone 13b · No frost · 0 chill hours · 2,639 mm rain

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

    99%match
  13. 13

    🇮🇩DumaiRiau, Indonesia

    Zone 13b · No frost · 0 chill hours · 122 in rainZone 13b · No frost · 0 chill hours · 3,102 mm rain

    Shares 14 of your 14 great-fit crops

    99%match
  14. 14

    🇵🇭TaclobanEastern Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 130 in rainZone 13b · No frost · 0 chill hours · 3,303 mm rain

    Shares 14 of your 14 great-fit crops

    99%match
  15. 15

    🇲🇾MukahSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 154 in rainZone 13b · No frost · 0 chill hours · 3,900 mm rain

    Shares 11 of your 14 great-fit crops

    99%match
  16. 16

    🇲🇾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
  17. 17

    🇵🇭MonkayoDavao Region, Philippines

    Zone 13b · No frost · 0 chill hours · 127 in rainZone 13b · No frost · 0 chill hours · 3,214 mm rain

    Shares 14 of your 14 great-fit crops

    99%match
  18. 18

    🇲🇾MiriSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 119 in rainZone 13b · No frost · 0 chill hours · 3,025 mm rain

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

    99%match
  19. 19

    🇲🇾Taman SenaiJohor, Malaysia

    Zone 13b · No frost · 0 chill hours · 108 in rainZone 13b · No frost · 0 chill hours · 2,735 mm rain

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

    99%match
  20. 20

    🇮🇩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

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 Singkawang: 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.