Climatch

Land with a climate like Canlaon

🇵🇭Canlaon, Central Visayas, Philippines

The towns with the closest growing climate to Canlaon are Manolo Fortich, Philippines (98% match), São Gabriel da Cachoeira and Lipa City. About 2.2 million sq mi of land in 30 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Sarawak, Malaysia.The towns with the closest growing climate to Canlaon are Manolo Fortich, Philippines (98% match), São Gabriel da Cachoeira and Lipa City. About 5.8 million km² of land in 30 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Sarawak, Malaysia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 100 in rainZone 13a · No frost · 0 chill hours · 2,542 mm rain

What grows in Canlaon →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    188k sq mi486k km² matching 80% or better

    For example São Gabriel da Cachoeira (97), Santo Antônio do Içá (96)

  2. 2

    🇧🇷Pará, Brazil

    55k sq mi142k km² matching 80% or better

    For example Breves (89), Rurópolis (86)

  3. 3

    🇲🇾Sarawak, Malaysia

    43k sq mi111k km² matching 80% or better

    For example Pakan (88), Maradong (88)

  4. 4

    🇧🇷Acre, Brazil

    27k sq mi70k km² matching 80% or better

    For example Mâncio Lima (92), Cruzeiro do Sul (92)

  5. 5

    🇵🇪Loreto, Peru

    25k sq mi66k km² matching 80% or better

    For example Iquitos (96), San Juan (95)

  6. 6

    🇮🇩North Sumatra, Indonesia

    25k sq mi64k km² matching 80% or better

    For example Pekan Bahapal (96), Perbaungan (96)

  7. 7

    🇮🇩Jambi, Indonesia

    23k sq mi60k km² matching 80% or better

    For example Muara Bungo (88), Mendaha (86)

  8. 8

    🇮🇩South Sumatra, Indonesia

    21k sq mi55k km² matching 80% or better

    For example Lubuklinggau (86), Tanjungagung (86)

  9. 9

    🇲🇾Sabah, Malaysia

    18k sq mi47k km² matching 80% or better

    For example Tawau (85), Ranau (83)

  10. 10

    🇵🇭Bicol Region, Philippines

    18k sq mi46k km² matching 80% or better

    For example San Jose (95), Goa (93)

  11. 11

    🇵🇭Cagayan Valley, Philippines

    15k sq mi38k km² matching 80% or better

    For example Diadi (93), Aglipay (91)

  12. 12

    🇵🇭Western Visayas, Philippines

    14k sq mi37k km² matching 80% or better

    For example Passi (92), Estancia (89)

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

    🇵🇭Manolo FortichNorthern Mindanao, Philippines

    Zone 13a · No frost · 0 chill hours · 109 in rainZone 13a · No frost · 0 chill hours · 2,779 mm rain

    Shares 17 of your 19 great-fit crops

    98%match
  2. 2

    🇧🇷São Gabriel da Cachoeira↻Seasons flipped. Amazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 112 in rainZone 13a · No frost · 0 chill hours · 2,851 mm rain

    Shares 16 of your 19 great-fit crops

    97%match
  3. 3

    🇵🇭Lipa CityCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 92 in rainZone 13a · No frost · 0 chill hours · 2,326 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  4. 4

    🇵🇭SariayaCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 90 in rainZone 13a · No frost · 0 chill hours · 2,278 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  5. 5

    🇧🇷Santo Antônio do Içá↻Seasons flipped. Amazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 112 in rainZone 13a · No frost · 0 chill hours · 2,844 mm rain

    Shares 16 of your 19 great-fit crops

    96%match
  6. 6

    🇵🇪Iquitos↻Seasons flipped. Loreto, Peru

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

    Shares 17 of your 19 great-fit crops

    96%match
  7. 7

    🇵🇭Iligan CitySoccsksargen, Philippines

    Zone 13a · No frost · 0 chill hours · 106 in rainZone 13a · No frost · 0 chill hours · 2,696 mm rain

    Shares 18 of your 19 great-fit crops

    96%match
  8. 8

    🇧🇷São Paulo de Olivença↻Seasons flipped. Amazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 110 in rainZone 13a · No frost · 0 chill hours · 2,797 mm rain

    Shares 17 of your 19 great-fit crops

    96%match
  9. 9

    🇵🇭NununganNorthern Mindanao, Philippines

    Zone 12b · No frost · 0 chill hours · 119 in rainZone 12b · No frost · 0 chill hours · 3,028 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: wheat

    95%match
  10. 10

    🇮🇩PercutNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 100 in rainZone 13a · No frost · 0 chill hours · 2,547 mm rain

    Shares 19 of your 19 great-fit crops

    95%match
  11. 11

    🇮🇩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 19 great-fit crops

    95%match
  12. 12

    🇵🇭Lake SebuSoccsksargen, Philippines

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

    Shares 19 of your 19 great-fit crops

    95%match
  13. 13

    🇧🇷Barcelos↻Seasons flipped. Amazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 95 in rainZone 13a · No frost · 0 chill hours · 2,402 mm rain

    Shares 19 of your 19 great-fit crops

    95%match
  14. 14

    🇵🇭KidapawanSoccsksargen, Philippines

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,189 mm rain

    Shares 19 of your 19 great-fit crops

    95%match
  15. 15

    🇮🇩Pangkalan BrandanNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 91 in rainZone 13a · No frost · 0 chill hours · 2,322 mm rain

    Shares 18 of your 19 great-fit crops

    95%match
  16. 16

    🇮🇩BinjaiNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 107 in rainZone 13a · No frost · 0 chill hours · 2,725 mm rain

    Shares 17 of your 19 great-fit crops

    94%match
  17. 17

    🇧🇷Fonte Boa↻Seasons flipped. Amazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 108 in rainZone 13b · No frost · 0 chill hours · 2,749 mm rain

    Shares 16 of your 19 great-fit crops

    94%match
  18. 18

    🇵🇬Madang↻Seasons flipped. Madang Province, Papua New Guinea

    Zone 13a · No frost · 0 chill hours · 134 in rainZone 13a · No frost · 0 chill hours · 3,392 mm rain

    Shares 14 of your 19 great-fit crops

    94%match
  19. 19

    🇧🇷Maraã↻Seasons flipped. Amazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 109 in rainZone 13b · No frost · 0 chill hours · 2,771 mm rain

    Shares 16 of your 19 great-fit crops

    94%match
  20. 20

    🇵🇪Requena↻Seasons flipped. Loreto, Peru

    Zone 13a · No frost · 0 chill hours · 98 in rainZone 13a · No frost · 0 chill hours · 2,477 mm rain

    Shares 19 of your 19 great-fit crops

    94%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 Canlaon: 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.