Climatch

Land with a climate like Papar

🇲🇾Papar, Sabah, Malaysia

The towns with the closest growing climate to Papar are Dobo, Indonesia (99% match), Labuan and Tawau. About 2.1 million sq mi of land in 62 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Sabah, Malaysia.The towns with the closest growing climate to Papar are Dobo, Indonesia (99% match), Labuan and Tawau. About 5.4 million km² of land in 62 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 · 99 in rainZone 13b · No frost · 0 chill hours · 2,521 mm rain

What grows in Papar →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    88k sq mi227k km² matching 80% or better

    For example Novo Airão (86), Presidente Figueiredo (85)

  2. 2

    🇲🇾Sarawak, Malaysia

    34k sq mi87k km² matching 80% or better

    For example Miri (97), Marudi (97)

  3. 3

    🇲🇾Sabah, Malaysia

    29k sq mi75k km² matching 80% or better

    For example Bandar Labuan (99), Tawau (99)

  4. 4

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Pangkalanbuun (97), Sampit (96)

  5. 5

    🇮🇩West Kalimantan, Indonesia

    25k sq mi63k km² matching 80% or better

    For example Manismata (97), Sungai Raya (91)

  6. 6

    🇮🇩Jambi, Indonesia

    22k sq mi56k km² matching 80% or better

    For example Simpang (95), Mendaha (94)

  7. 7

    🇨🇴Antioquia, Colombia

    17k sq mi45k km² matching 80% or better

    For example Apartadó (98), Carepa (98)

  8. 8

    🇵🇭Bicol Region, Philippines

    17k sq mi44k km² matching 80% or better

    For example Esperanza (96), Masbate (93)

  9. 9

    🇵🇭Mimaropa, Philippines

    16k sq mi41k km² matching 80% or better

    For example Mapun (98), Romblon (93)

  10. 10

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi39k km² matching 80% or better

    For example Parang (96), Budta (96)

  11. 11

    🇲🇾Johor, Malaysia

    13k sq mi33k km² matching 80% or better

    For example Muar (92), Kampung Minyak Beku (91)

  12. 12

    🇻🇪Bolívar, Venezuela

    11k sq mi28k km² matching 80% or better

    For example El Dorado (83), Tumeremo (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

    🇮🇩Dobo↻Seasons flipped. Maluku, Indonesia

    Zone 13b · No frost · 0 chill hours · 101 in rainZone 13b · No frost · 0 chill hours · 2,572 mm rain

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

    99%match
  2. 2

    🇲🇾LabuanMalaysia

    Zone 13b · No frost · 0 chill hours · 128 in rainZone 13b · No frost · 0 chill hours · 3,244 mm rain

    Shares 14 of your 18 great-fit crops

    99%match
  3. 3

    🇲🇾TawauSabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 85 in rainZone 13b · No frost · 0 chill hours · 2,156 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  4. 4

    🇮🇩Palopo↻Seasons flipped. South Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 117 in rainZone 13b · No frost · 0 chill hours · 2,961 mm rain

    Shares 15 of your 18 great-fit crops

    99%match
  5. 5

    🇲🇾SipitangSabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 130 in rainZone 13b · No frost · 0 chill hours · 3,305 mm rain

    Shares 13 of your 18 great-fit crops

    99%match
  6. 6

    🇮🇩Tual↻Seasons flipped. Maluku, Indonesia

    Zone 13b · No frost · 0 chill hours · 109 in rainZone 13b · No frost · 0 chill hours · 2,763 mm rain

    Shares 15 of your 18 great-fit crops

    99%match
  7. 7

    🇵🇭Roxas CityWestern Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,456 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  8. 8

    🇮🇩Poso↻Seasons flipped. Central Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,487 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  9. 9

    🇲🇾SempornaSabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,946 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  10. 10

    🇮🇩Manggar↻Seasons flipped. Bangka–Belitung Islands, Indonesia

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

    Shares 18 of your 18 great-fit crops

    98%match
  11. 11

    🇨🇴ApartadóAntioquia, Colombia

    Zone 13b · No frost · 0 chill hours · 90 in rainZone 13b · No frost · 0 chill hours · 2,282 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  12. 12

    🇵🇭MapunMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,104 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  13. 13

    🇮🇩Masamba↻Seasons flipped. South Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 123 in rainZone 13b · No frost · 0 chill hours · 3,133 mm rain

    Shares 14 of your 18 great-fit crops

    98%match
  14. 14

    🇮🇩Balikpapan↻Seasons flipped. East Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 108 in rainZone 13b · No frost · 0 chill hours · 2,741 mm rain

    Shares 15 of your 18 great-fit crops

    97%match
  15. 15

    🇵🇭BugoNorthern Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,039 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  16. 16

    🇲🇾MiriSarawak, Malaysia

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

    Shares 15 of your 18 great-fit crops

    97%match
  17. 17

    🇲🇾Kuala KraiKelantan, Malaysia

    Zone 13b · No frost · 0 chill hours · 105 in rainZone 13b · No frost · 0 chill hours · 2,674 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  18. 18

    🇹🇹ScarboroughTobago, Trinidad and Tobago

    Zone 13b · No frost · 0 chill hours · 90 in rainZone 13b · No frost · 0 chill hours · 2,276 mm rain

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

    97%match
  19. 19

    🇮🇩Polewali↻Seasons flipped. West Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,041 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  20. 20

    🇲🇾MarudiSarawak, Malaysia

    Zone 13b · No frost · 0 chill hours · 120 in rainZone 13b · No frost · 0 chill hours · 3,056 mm rain

    Shares 14 of your 18 great-fit crops

    97%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 Papar: 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.