Climatch

Land with a climate like Raub

🇲🇾Raub, Pahang, Malaysia

The towns with the closest growing climate to Raub are Rantauprapat, Indonesia (99% match), Kapar and Maran. About 2.4 million sq mi of land in 34 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Sabah, Malaysia.The towns with the closest growing climate to Raub are Rantauprapat, Indonesia (99% match), Kapar and Maran. About 6.1 million km² of land in 34 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 · 104 in rainZone 13a · No frost · 0 chill hours · 2,635 mm rain

What grows in Raub →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    158k sq mi409k km² matching 80% or better

    For example Santa Isabel do Rio Negro (99), Maraã (98)

  2. 2

    🇲🇾Sarawak, Malaysia

    50k sq mi128k km² matching 80% or better

    For example Julau (97), Pakan (97)

  3. 3

    🇲🇾Sabah, Malaysia

    30k sq mi78k km² matching 80% or better

    For example Sandakan (93), Tawau (93)

  4. 4

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Pangkalanbuun (93), Sampit (90)

  5. 5

    🇮🇩North Sumatra, Indonesia

    26k sq mi68k km² matching 80% or better

    For example Bandar (99), Rantauprapat (99)

  6. 6

    🇵🇪Loreto, Peru

    25k sq mi66k km² matching 80% or better

    For example Requena (94), Iquitos (92)

  7. 7

    🇮🇩West Kalimantan, Indonesia

    25k sq mi65k km² matching 80% or better

    For example Bengkayang (99), Sungai Raya (98)

  8. 8

    🇵🇭Bicol Region, Philippines

    18k sq mi46k km² matching 80% or better

    For example Esperanza (93), Irosin (93)

  9. 9

    🇵🇭Eastern Visayas, Philippines

    16k sq mi40k km² matching 80% or better

    For example Ormoc (94), Baybay (94)

  10. 10

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi39k km² matching 80% or better

    For example Marawi City (93), Jolo (92)

  11. 11

    🇲🇾Johor, Malaysia

    13k sq mi35k km² matching 80% or better

    For example Yong Peng (99), Parit Raja (99)

  12. 12

    🇨🇴Putumayo Department, Colombia

    11k sq mi29k km² matching 80% or better

    For example Puerto Leguízamo (98), Orito (84)

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

    🇮🇩RantauprapatNorth Sumatra, Indonesia

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

    Shares 17 of your 17 great-fit crops

    99%match
  2. 2

    🇲🇾KaparSelangor, Malaysia

    Zone 13b · No frost · 0 chill hours · 106 in rainZone 13b · No frost · 0 chill hours · 2,684 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  3. 3

    🇲🇾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 17 great-fit crops

    99%match
  4. 4

    🇲🇾Kampung Baru SubangSelangor, Malaysia

    Zone 13b · No frost · 0 chill hours · 114 in rainZone 13b · No frost · 0 chill hours · 2,883 mm rain

    Shares 15 of your 17 great-fit crops

    99%match
  5. 5

    🇲🇾RompinNegeri Sembilan, Malaysia

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

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

    99%match
  6. 6

    🇲🇾KluangJohor, Malaysia

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

    Shares 15 of your 17 great-fit crops

    99%match
  7. 7

    🇲🇾Gua MusangKelantan, Malaysia

    Zone 13a · No frost · 0 chill hours · 105 in rainZone 13a · No frost · 0 chill hours · 2,670 mm rain

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

    99%match
  8. 8

    🇲🇾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 17 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 17 great-fit crops

    99%match
  10. 10

    🇮🇩TebingtinggiNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 108 in rainZone 13a · No frost · 0 chill hours · 2,754 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  11. 11

    🇲🇾Batu PahatJohor, Malaysia

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,507 mm rain

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

    99%match
  12. 12

    🇲🇾SegamatJohor, Malaysia

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

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

    99%match
  13. 13

    🇧🇷Santa Isabel do Rio Negro↻Seasons flipped. Amazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 99 in rainZone 13a · No frost · 0 chill hours · 2,516 mm rain

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

    99%match
  14. 14

    🇮🇩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 17 great-fit crops

    99%match
  15. 15

    🇲🇾IpohPerak, Malaysia

    Zone 13b · No frost · 0 chill hours · 111 in rainZone 13b · No frost · 0 chill hours · 2,827 mm rain

    Shares 15 of your 17 great-fit crops

    99%match
  16. 16

    🇲🇾MuarJohor, Malaysia

    Zone 13b · No frost · 0 chill hours · 101 in rainZone 13b · No frost · 0 chill hours · 2,561 mm rain

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

    99%match
  17. 17

    🇲🇾SitiawanPerak, Malaysia

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

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

    99%match
  18. 18

    🇲🇾Teluk IntanPerak, Malaysia

    Zone 13b · No frost · 0 chill hours · 113 in rainZone 13b · No frost · 0 chill hours · 2,869 mm rain

    Shares 15 of your 17 great-fit crops

    99%match
  19. 19

    🇮🇩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 17 great-fit crops

    99%match
  20. 20

    🇮🇩MedanNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 101 in rainZone 13a · No frost · 0 chill hours · 2,568 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado

    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 Raub: 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.