Climatch

Land with a climate like Sarikei

🇲🇾Sarikei, Sarawak, Malaysia

The towns with the closest growing climate to Sarikei are Sri Aman, Malaysia (99% match), Serian and Mukah. About 1.8 million sq mi of land in 23 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Sabah, Malaysia.The towns with the closest growing climate to Sarikei are Sri Aman, Malaysia (99% match), Serian and Mukah. About 4.6 million km² of land in 23 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 · 132 in rainZone 13b · No frost · 0 chill hours · 3,349 mm rain

What grows in Sarikei →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    89k sq mi231k km² matching 80% or better

    For example São Gabriel da Cachoeira (98), Santa Isabel do Rio Negro (97)

  2. 2

    🇲🇾Sarawak, Malaysia

    50k sq mi128k km² matching 80% or better

    For example Betong (99), Dalat (99)

  3. 3

    🇲🇾Sabah, Malaysia

    27k sq mi71k km² matching 80% or better

    For example Sandakan (95), Lahad Datu (92)

  4. 4

    🇮🇩West Kalimantan, Indonesia

    25k sq mi65k km² matching 80% or better

    For example Singkawang (99), Pemangkat (99)

  5. 5

    🇮🇩North Sumatra, Indonesia

    25k sq mi65k km² matching 80% or better

    For example Rantauprapat (99), Bandar (99)

  6. 6

    🇮🇩Jambi, Indonesia

    22k sq mi56k km² matching 80% or better

    For example Muara Bungo (90), Kuala Tungkal (90)

  7. 7

    🇵🇪Loreto, Peru

    18k sq mi46k km² matching 80% or better

    For example Iquitos (91), San Juan (91)

  8. 8

    🇵🇭Bicol Region, Philippines

    18k sq mi46k km² matching 80% or better

    For example Irosin (99), Sorsogon (98)

  9. 9

    🇵🇭Eastern Visayas, Philippines

    16k sq mi40k km² matching 80% or better

    For example Burauen (99), Catarman (98)

  10. 10

    🇲🇾Johor, Malaysia

    13k sq mi35k km² matching 80% or better

    For example Bukit Indah (98), Kulai (98)

  11. 11

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    13k sq mi35k km² matching 80% or better

    For example Marawi City (88), Parang (87)

  12. 12

    🇨🇴Putumayo Department, Colombia

    11k sq mi29k km² matching 80% or better

    For example Puerto Leguízamo (97), Puerto Asís (86)

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

    🇲🇾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
  2. 2

    🇲🇾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
  3. 3

    🇲🇾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
  4. 4

    🇮🇩SingkawangWest Kalimantan, Indonesia

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

    Shares 14 of your 14 great-fit crops

    99%match
  5. 5

    🇮🇩BengkayangWest Kalimantan, Indonesia

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

    Shares 14 of your 14 great-fit crops

    99%match
  6. 6

    🇲🇾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
  7. 7

    🇮🇩Kota SambasWest Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 124 in rainZone 13b · No frost · 0 chill hours · 3,139 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

    🇮🇩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
  10. 10

    🇮🇩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
  11. 11

    🇲🇾KuchingSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 188 in rainZone 13b · No frost · 0 chill hours · 4,775 mm rain

    Shares 8 of your 14 great-fit crops

    99%match
  12. 12

    🇲🇾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
  13. 13

    🇮🇩SibolgaNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 161 in rainZone 13a · No frost · 0 chill hours · 4,086 mm rain

    Shares 6 of your 14 great-fit crops

    99%match
  14. 14

    🇲🇾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
  15. 15

    🇮🇩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
  16. 16

    🇮🇩BarusNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 164 in rainZone 13a · No frost · 0 chill hours · 4,155 mm rain

    Shares 6 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

    🇵🇭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
  19. 19

    🇲🇾LunduSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 174 in rainZone 13b · No frost · 0 chill hours · 4,407 mm rain

    Shares 9 of your 14 great-fit crops

    99%match
  20. 20

    🇮🇩BlangpidieAceh, Indonesia

    Zone 13a · No frost · 0 chill hours · 134 in rainZone 13a · No frost · 0 chill hours · 3,412 mm rain

    Shares 12 of your 14 great-fit crops

    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 Sarikei: 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.