Climatch

Land with a climate like Masantol

🇵🇭Masantol, Central Luzon, Philippines

The towns with the closest growing climate to Masantol are Laoag, Philippines (99% match), Binmaley and Calasiao. About 396,000 sq mi of land in 18 countries matches 80% or better, most of it in Pará, Brazil, Mimaropa, Philippines and Bolívar, Venezuela.The towns with the closest growing climate to Masantol are Laoag, Philippines (99% match), Binmaley and Calasiao. About 1.0 million km² of land in 18 countries matches 80% or better, most of it in Pará, Brazil, Mimaropa, Philippines and Bolívar, Venezuela.

Your growing climate

Zone 13a · No frost · 0 chill hours · 101 in rainZone 13a · No frost · 0 chill hours · 2,564 mm rain

What grows in Masantol →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    26k sq mi67k km² matching 80% or better

    For example Goianésia do Pará (83), Breu Branco (83)

  2. 2

    🇵🇭Mimaropa, Philippines

    19k sq mi49k km² matching 80% or better

    For example Sablayan (95), Mamburao (95)

  3. 3

    🇻🇪Bolívar, Venezuela

    17k sq mi45k km² matching 80% or better

    For example La Paragua (86), Ciudad Piar (83)

  4. 4

    🇮🇩East Java, Indonesia

    17k sq mi45k km² matching 80% or better

    For example Kebomas (93), Gresik (93)

  5. 5

    🇮🇩West Nusa Tenggara, Indonesia

    10k sq mi27k km² matching 80% or better

    For example Mataram (92), Praya (90)

  6. 6

    🇮🇩Central Java, Indonesia

    10k sq mi26k km² matching 80% or better

    For example Kudus (93), Pecangaan (93)

  7. 7

    🇮🇳Andaman and Nicobar, India

    8,200 sq mi21k km² matching 80% or better

    For example Rangat (88), Port Blair (87)

  8. 8

    🇵🇭Central Luzon, Philippines

    8,100 sq mi21k km² matching 80% or better

    For example Talavera (99), Camiling (98)

  9. 9

    🇻🇳An Giang, Vietnam

    7,700 sq mi20k km² matching 80% or better

    For example Xóm Cái Nước (93), Rạch Giá (92)

  10. 10

    🇵🇭Ilocos, Philippines

    6,300 sq mi16k km² matching 80% or better

    For example Laoag (99), San Nicolas (99)

  11. 11

    🇮🇳Kerala, India

    6,200 sq mi16k km² matching 80% or better

    For example Muhamma (84), Srīkandamangalam (84)

  12. 12

    🇰🇭Kratie, Cambodia

    4,700 sq mi12k km² matching 80% or better

    For example Kratié (86), Snuol (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

    🇵🇭LaoagIlocos, Philippines

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,193 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: strawberry

    99%match
  2. 2

    🇵🇭BinmaleyIlocos, Philippines

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

    Shares 15 of your 17 great-fit crops

    98%match
  3. 3

    🇵🇭CalasiaoIlocos, Philippines

    Zone 13a · No frost · 0 chill hours · 108 in rainZone 13a · No frost · 0 chill hours · 2,731 mm rain

    Shares 15 of your 17 great-fit crops

    98%match
  4. 4

    🇵🇭DagupanIlocos, Philippines

    Zone 13a · No frost · 0 chill hours · 108 in rainZone 13a · No frost · 0 chill hours · 2,755 mm rain

    Shares 15 of your 17 great-fit crops

    97%match
  5. 5

    🇵🇭NasugbuCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 88 in rainZone 13a · No frost · 0 chill hours · 2,237 mm rain

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

    97%match
  6. 6

    🇵🇭BanguedCordillera, Philippines

    Zone 13a · No frost · 0 chill hours · 111 in rainZone 13a · No frost · 0 chill hours · 2,822 mm rain

    Shares 15 of your 17 great-fit crops

    96%match
  7. 7

    🇵🇭SablayanMimaropa, Philippines

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

    Shares 17 of your 17 great-fit crops

    95%match
  8. 8

    🇵🇭MamburaoMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 91 in rainZone 13b · No frost · 0 chill hours · 2,306 mm rain

    Shares 17 of your 17 great-fit crops

    95%match
  9. 9

    🇻🇳Cà MauCa Mau, Vietnam

    Zone 13b · No frost · 0 chill hours · 91 in rainZone 13b · No frost · 0 chill hours · 2,300 mm rain

    Shares 17 of your 17 great-fit crops

    95%match
  10. 10

    🇵🇭CalambaCalabarzon, Philippines

    Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,106 mm rain

    Shares 16 of your 17 great-fit crops

    95%match
  11. 11

    🇮🇩Yogyakarta↻Seasons flipped. Indonesia

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,165 mm rain

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

    95%match
  12. 12

    🇵🇭Santa CruzCentral Luzon, Philippines

    Zone 13a · No frost · 0 chill hours · 122 in rainZone 13a · No frost · 0 chill hours · 3,097 mm rain

    Shares 12 of your 17 great-fit crops

    94%match
  13. 13

    🇵🇭MasinlocCentral Luzon, Philippines

    Zone 13a · No frost · 0 chill hours · 127 in rainZone 13a · No frost · 0 chill hours · 3,218 mm rain

    Shares 12 of your 17 great-fit crops

    94%match
  14. 14

    🇵🇭San JoseMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 126 in rainZone 13b · No frost · 0 chill hours · 3,209 mm rain

    Shares 15 of your 17 great-fit crops

    94%match
  15. 15

    🇻🇳Biên HòaDong Nai, Vietnam

    Zone 13b · No frost · 0 chill hours · 82 in rainZone 13b · No frost · 0 chill hours · 2,082 mm rain

    Shares 17 of your 17 great-fit crops

    94%match
  16. 16

    🇵🇭RoxasMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,968 mm rain

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

    94%match
  17. 17

    🇵🇭San FernandoIlocos, Philippines

    Zone 13a · No frost · 0 chill hours · 97 in rainZone 13a · No frost · 0 chill hours · 2,454 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: date palm

    93%match
  18. 18

    🇻🇳Bạc LiêuCa Mau, Vietnam

    Zone 13b · No frost · 0 chill hours · 79 in rainZone 13b · No frost · 0 chill hours · 1,994 mm rain

    Shares 17 of your 17 great-fit crops

    93%match
  19. 19

    🇵🇭SipalayWestern Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 103 in rainZone 13b · No frost · 0 chill hours · 2,608 mm rain

    Shares 17 of your 17 great-fit crops

    93%match
  20. 20

    🇮🇩Pati↻Seasons flipped. Central Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 84 in rainZone 13b · No frost · 0 chill hours · 2,126 mm rain

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

    93%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 Masantol: 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.