Climatch

Land with a climate like Maragondon

🇵🇭Maragondon, Calabarzon, Philippines

The towns with the closest growing climate to Maragondon are Mamburao, Philippines (98% match), Sablayan and El Nido. About 276,000 sq mi of land in 9 countries matches 80% or better, most of it in Pará, Brazil, Mimaropa, Philippines and East Java, Indonesia.The towns with the closest growing climate to Maragondon are Mamburao, Philippines (98% match), Sablayan and El Nido. About 714,000 km² of land in 9 countries matches 80% or better, most of it in Pará, Brazil, Mimaropa, Philippines and East Java, Indonesia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 90 in rainZone 13a · No frost · 0 chill hours · 2,284 mm rain

What grows in Maragondon →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    64k sq mi165k km² matching 80% or better

    For example Breu Branco (87), Tucuruí (87)

  2. 2

    🇵🇭Mimaropa, Philippines

    22k sq mi57k km² matching 80% or better

    For example Mamburao (98), Sablayan (97)

  3. 3

    🇮🇩East Java, Indonesia

    14k sq mi36k km² matching 80% or better

    For example Sumenep (92), Kalianget (90)

  4. 4

    🇧🇷Maranhão, Brazil

    9,300 sq mi24k km² matching 80% or better

    For example Zé Doca (85), Santa Inês (84)

  5. 5

    🇮🇩West Nusa Tenggara, Indonesia

    8,000 sq mi21k km² matching 80% or better

    For example Praya (88), Mataram (84)

  6. 6

    🇵🇭Central Luzon, Philippines

    7,500 sq mi19k km² matching 80% or better

    For example Apalit (97), Baliuag (97)

  7. 7

    🇮🇩West Java, Indonesia

    7,100 sq mi18k km² matching 80% or better

    For example Karangampel (90), Jatibarang (90)

  8. 8

    🇵🇭Calabarzon, Philippines

    7,000 sq mi18k km² matching 80% or better

    For example Aurora (87), Paete (84)

  9. 9

    🇧🇷Amazonas, Brazil

    6,900 sq mi18k km² matching 80% or better

    For example Nhamundá (84), Urucará (82)

  10. 10

    🇮🇳Andaman and Nicobar, India

    6,700 sq mi17k km² matching 80% or better

    For example Rangat (89), Māyābandar (87)

  11. 11

    🇻🇪Bolívar, Venezuela

    6,500 sq mi17k km² matching 80% or better

    For example La Paragua (81), Ciudad Bolívar (79)

  12. 12

    🇻🇳Ca Mau, Vietnam

    4,100 sq mi11k km² matching 80% or better

    For example Giá Rai (91), Ấp Hô Phòng (91)

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

    🇵🇭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 19 great-fit crops

    98%match
  2. 2

    🇵🇭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 19 great-fit crops

    97%match
  3. 3

    🇵🇭El NidoMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,474 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  4. 4

    🇵🇭RoxasMimaropa, Philippines

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

    Shares 18 of your 19 great-fit crops

    96%match
  5. 5

    🇵🇭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 19 great-fit crops

    96%match
  6. 6

    🇵🇭CulionMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 128 in rainZone 13b · No frost · 0 chill hours · 3,250 mm rain

    Shares 14 of your 19 great-fit crops

    95%match
  7. 7

    🇵🇭LaoagIlocos, Philippines

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

    Shares 15 of your 19 great-fit crops

    95%match
  8. 8

    🇵🇭Angeles CityCentral Luzon, Philippines

    Zone 13a · No frost · 0 chill hours · 94 in rainZone 13a · No frost · 0 chill hours · 2,393 mm rain

    Shares 17 of your 19 great-fit crops

    95%match
  9. 9

    🇵🇭NorzagarayCentral Luzon, Philippines

    Zone 13a · No frost · 0 chill hours · 117 in rainZone 13a · No frost · 0 chill hours · 2,970 mm rain

    Shares 16 of your 19 great-fit crops

    94%match
  10. 10

    🇵🇭Cabanatuan CityCentral Luzon, Philippines

    Zone 13a · No frost · 0 chill hours · 80 in rainZone 13a · No frost · 0 chill hours · 2,021 mm rain

    Shares 16 of your 19 great-fit crops

    94%match
  11. 11

    🇵🇭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 19 great-fit crops

    93%match
  12. 12

    🇵🇭MansalayMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 118 in rainZone 13b · No frost · 0 chill hours · 2,990 mm rain

    Shares 15 of your 19 great-fit crops

    93%match
  13. 13

    🇮🇩Sumenep↻Seasons flipped. East Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 62 in rainZone 13b · No frost · 0 chill hours · 1,569 mm rain

    Shares 18 of your 19 great-fit crops

    92%match
  14. 14

    🇵🇭BayawanCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 100 in rainZone 13b · No frost · 0 chill hours · 2,535 mm rain

    Shares 17 of your 19 great-fit crops

    91%match
  15. 15

    🇵🇭OlongapoCentral Luzon, Philippines

    Zone 13a · No frost · 0 chill hours · 129 in rainZone 13a · No frost · 0 chill hours · 3,269 mm rain

    Shares 12 of your 19 great-fit crops

    90%match
  16. 16

    🇻🇳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 19 great-fit crops

    90%match
  17. 17

    🇮🇩Pamekasan↻Seasons flipped. East Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,620 mm rain

    Shares 17 of your 19 great-fit crops

    89%match
  18. 18

    🇮🇩Indramayu↻Seasons flipped. West Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 67 in rainZone 13b · No frost · 0 chill hours · 1,691 mm rain

    Shares 18 of your 19 great-fit crops

    89%match
  19. 19

    🇮🇳RangatAndaman and Nicobar, India

    Zone 13a · No frost · 0 chill hours · 132 in rainZone 13a · No frost · 0 chill hours · 3,346 mm rain

    Shares 16 of your 19 great-fit crops

    89%match
  20. 20

    🇵🇭Puerto PrincesaMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 63 in rainZone 13b · No frost · 0 chill hours · 1,596 mm rain

    Shares 18 of your 19 great-fit crops

    89%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 Maragondon: 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.