Climatch

Land with a climate like Loboc

🇵🇭Loboc, Central Visayas, Philippines

The towns with the closest growing climate to Loboc are Toledo, Philippines (99% match), Danao and Dumaguete. About 1.8 million sq mi of land in 25 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Sarawak, Malaysia.The towns with the closest growing climate to Loboc are Toledo, Philippines (99% match), Danao and Dumaguete. About 4.6 million km² of land in 25 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Sarawak, Malaysia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 64 in rainZone 13b · No frost · 0 chill hours · 1,628 mm rain

What grows in Loboc →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    146k sq mi379k km² matching 80% or better

    For example Santa Isabel do Rio Negro (94), Barcelos (94)

  2. 2

    🇧🇷Pará, Brazil

    63k sq mi163k km² matching 80% or better

    For example Almeirim (85), Oriximiná (85)

  3. 3

    🇲🇾Sarawak, Malaysia

    26k sq mi68k km² matching 80% or better

    For example Miri (89), Niah (89)

  4. 4

    🇵🇪Loreto, Peru

    25k sq mi66k km² matching 80% or better

    For example Contamana (89), Yurimaguas (88)

  5. 5

    🇲🇾Sabah, Malaysia

    25k sq mi65k km² matching 80% or better

    For example Semporna (95), Lahad Datu (94)

  6. 6

    🇮🇩Central Kalimantan, Indonesia

    24k sq mi61k km² matching 80% or better

    For example Pangkalanbuun (87), Sampit (84)

  7. 7

    🇮🇩Jambi, Indonesia

    19k sq mi50k km² matching 80% or better

    For example Kuala Tungkal (88), Mendaha (87)

  8. 8

    🇮🇩West Kalimantan, Indonesia

    19k sq mi48k km² matching 80% or better

    For example Sungai Raya (90), Pemangkat (89)

  9. 9

    🇵🇭Bicol Region, Philippines

    16k sq mi41k km² matching 80% or better

    For example Masbate (97), Esperanza (96)

  10. 10

    🇵🇭Mimaropa, Philippines

    15k sq mi39k km² matching 80% or better

    For example Calapan (96), Mapun (95)

  11. 11

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi38k km² matching 80% or better

    For example Maluso (97), City of Isabela (96)

  12. 12

    🇲🇾Johor, Malaysia

    13k sq mi35k km² matching 80% or better

    For example Taman Pelangi (95), Batu Anam (95)

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

    🇵🇭ToledoCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 67 in rainZone 13b · No frost · 0 chill hours · 1,694 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  2. 2

    🇵🇭DanaoCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 66 in rainZone 13b · No frost · 0 chill hours · 1,677 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  3. 3

    🇵🇭DumagueteCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 56 in rainZone 13b · No frost · 0 chill hours · 1,435 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: fig

    99%match
  4. 4

    🇵🇭GuihulñganCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 86 in rainZone 13b · No frost · 0 chill hours · 2,185 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  5. 5

    🇵🇭DavaoDavao Region, Philippines

    Zone 13b · No frost · 0 chill hours · 82 in rainZone 13b · No frost · 0 chill hours · 2,088 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  6. 6

    🇵🇭Cagayan de OroNorthern Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 76 in rainZone 13b · No frost · 0 chill hours · 1,925 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  7. 7

    🇵🇭CadizWestern Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 96 in rainZone 13b · No frost · 0 chill hours · 2,451 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  8. 8

    🇵🇭DigosDavao Region, Philippines

    Zone 13b · No frost · 0 chill hours · 69 in rainZone 13b · No frost · 0 chill hours · 1,755 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  9. 9

    🇵🇭MatiDavao Region, Philippines

    Zone 13b · No frost · 0 chill hours · 76 in rainZone 13b · No frost · 0 chill hours · 1,939 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  10. 10

    🇵🇭CatanauanCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 83 in rainZone 13a · No frost · 0 chill hours · 2,108 mm rain

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

    98%match
  11. 11

    🇵🇭OroquietaNorthern Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,498 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  12. 12

    🇵🇭MasbateBicol Region, Philippines

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,496 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  13. 13

    🇵🇭MalitaDavao Region, Philippines

    Zone 13b · No frost · 0 chill hours · 69 in rainZone 13b · No frost · 0 chill hours · 1,751 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  14. 14

    🇵🇭DipologZamboanga Peninsula, Philippines

    Zone 13b · No frost · 0 chill hours · 95 in rainZone 13b · No frost · 0 chill hours · 2,420 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  15. 15

    🇵🇭InopacanEastern Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,525 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  16. 16

    🇵🇭ZamboangaZamboanga Peninsula, Philippines

    Zone 13b · No frost · 0 chill hours · 59 in rainZone 13b · No frost · 0 chill hours · 1,491 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: fig

    97%match
  17. 17

    🇮🇩TanjungbalaiNorth Sumatra, Indonesia

    Zone 13b · No frost · 0 chill hours · 85 in rainZone 13b · No frost · 0 chill hours · 2,159 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  18. 18

    🇵🇭CalauagCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 95 in rainZone 13a · No frost · 0 chill hours · 2,412 mm rain

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

    97%match
  19. 19

    🇮🇩LhokseumaweAceh, Indonesia

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,623 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  20. 20

    🇵🇭LucenaCalabarzon, Philippines

    Zone 13b · No frost · 0 chill hours · 86 in rainZone 13b · No frost · 0 chill hours · 2,183 mm rain

    Shares 17 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 Loboc: 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.