Climatch

Land with a climate like Ualog

🇵🇭Ualog, Western Visayas, Philippines

The towns with the closest growing climate to Ualog are Jagna, Philippines (99% match), Tanjungbalai and Inabanga. About 2.4 million sq mi of land in 34 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Sarawak, Malaysia.The towns with the closest growing climate to Ualog are Jagna, Philippines (99% match), Tanjungbalai and Inabanga. About 6.2 million km² of land in 34 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 · 86 in rainZone 13a · No frost · 0 chill hours · 2,178 mm rain

What grows in Ualog →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    182k sq mi471k km² matching 80% or better

    For example Barcelos (97), Santa Isabel do Rio Negro (97)

  2. 2

    🇧🇷Pará, Brazil

    82k sq mi212k km² matching 80% or better

    For example Breves (89), Oriximiná (88)

  3. 3

    🇲🇾Sarawak, Malaysia

    44k sq mi115k km² matching 80% or better

    For example Bintulu (92), Niah (91)

  4. 4

    🇲🇾Sabah, Malaysia

    28k sq mi72k km² matching 80% or better

    For example Tawau (92), Semporna (91)

  5. 5

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Pangkalanbuun (90), Sampit (87)

  6. 6

    🇵🇪Loreto, Peru

    25k sq mi66k km² matching 80% or better

    For example Requena (95), Iquitos (94)

  7. 7

    🇮🇩West Kalimantan, Indonesia

    25k sq mi64k km² matching 80% or better

    For example Sungai Raya (92), Singkawang (92)

  8. 8

    🇮🇩North Sumatra, Indonesia

    24k sq mi63k km² matching 80% or better

    For example Kisaran (99), Tanjungbalai (99)

  9. 9

    🇵🇭Mimaropa, Philippines

    19k sq mi50k km² matching 80% or better

    For example Calapan (98), Victoria (97)

  10. 10

    🇵🇭Bicol Region, Philippines

    18k sq mi46k km² matching 80% or better

    For example Masbate (97), Esperanza (97)

  11. 11

    🇧🇷Acre, Brazil

    16k sq mi42k km² matching 80% or better

    For example Mâncio Lima (87), Cruzeiro do Sul (86)

  12. 12

    🇵🇭Western Visayas, Philippines

    15k sq mi40k km² matching 80% or better

    For example Passi (99), Estancia (96)

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

    🇵🇭JagnaCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,032 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  2. 2

    🇮🇩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 19 great-fit crops

    99%match
  3. 3

    🇵🇭InabangaCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 72 in rainZone 13b · No frost · 0 chill hours · 1,835 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  4. 4

    🇵🇭PassiWestern Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,470 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  5. 5

    🇮🇩LangsaAceh, Indonesia

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,351 mm rain

    Shares 18 of your 19 great-fit crops

    98%match
  6. 6

    🇵🇭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 19 great-fit crops

    98%match
  7. 7

    🇵🇭BaisCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 81 in rainZone 13b · No frost · 0 chill hours · 2,052 mm rain

    Shares 17 of your 19 great-fit crops

    98%match
  8. 8

    🇵🇭CalauagCalabarzon, Philippines

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

    Shares 19 of your 19 great-fit crops

    98%match
  9. 9

    🇵🇭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 19 great-fit crops

    98%match
  10. 10

    🇵🇭City of IsabelaAutonomous Region in Muslim Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 76 in rainZone 13b · No frost · 0 chill hours · 1,936 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  11. 11

    🇵🇭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

    97%match
  12. 12

    🇵🇭CatanauanCalabarzon, Philippines

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

    Shares 19 of your 19 great-fit crops

    97%match
  13. 13

    🇵🇭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 19 great-fit crops

    97%match
  14. 14

    🇮🇩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

    97%match
  15. 15

    🇧🇷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

    97%match
  16. 16

    🇵🇭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 19 great-fit crops

    97%match
  17. 17

    🇮🇩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

    97%match
  18. 18

    🇵🇭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 19 great-fit crops

    97%match
  19. 19

    🇵🇭EsperanzaBicol Region, Philippines

    Zone 13b · No frost · 0 chill hours · 103 in rainZone 13b · No frost · 0 chill hours · 2,617 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  20. 20

    🇧🇷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 18 of your 19 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 Ualog: 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.