Climatch

Land with a climate like Mariveles

🇵🇭Mariveles, Central Luzon, Philippines

The towns with the closest growing climate to Mariveles are Laoag, Philippines (97% match), Angeles City and San Narciso. About 196,000 sq mi of land in 8 countries matches 80% or better, most of it in Pará, Brazil, East Java, Indonesia and Mimaropa, Philippines.The towns with the closest growing climate to Mariveles are Laoag, Philippines (97% match), Angeles City and San Narciso. About 508,000 km² of land in 8 countries matches 80% or better, most of it in Pará, Brazil, East Java, Indonesia and Mimaropa, Philippines.

Your growing climate

Zone 13a · No frost · 0 chill hours · 110 in rainZone 13a · No frost · 0 chill hours · 2,783 mm rain

What grows in Mariveles →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    33k sq mi85k km² matching 80% or better

    For example Breu Branco (86), Novo Repartimento (85)

  2. 2

    🇮🇩East Java, Indonesia

    14k sq mi37k km² matching 80% or better

    For example Sumenep (90), Pamekasan (89)

  3. 3

    🇵🇭Mimaropa, Philippines

    14k sq mi36k km² matching 80% or better

    For example San Jose (94), Mamburao (93)

  4. 4

    🇮🇩West Nusa Tenggara, Indonesia

    11k sq mi28k km² matching 80% or better

    For example Praya (86), Bima (84)

  5. 5

    🇵🇭Central Luzon, Philippines

    7,500 sq mi19k km² matching 80% or better

    For example Angeles City (95), Santol (95)

  6. 6

    🇻🇪Bolívar, Venezuela

    7,100 sq mi18k km² matching 80% or better

    For example La Paragua (80), Ciudad Bolívar (78)

  7. 7

    🇵🇭Ilocos, Philippines

    6,300 sq mi16k km² matching 80% or better

    For example Laoag (97), San Nicolas (97)

  8. 8

    🇮🇩Central Java, Indonesia

    6,200 sq mi16k km² matching 80% or better

    For example Jepara (87), Mlonggo (87)

  9. 9

    🇮🇳Andaman and Nicobar, India

    5,500 sq mi14k km² matching 80% or better

    For example Diglipur (89), Māyābandar (88)

  10. 10

    🇧🇷Maranhão, Brazil

    5,100 sq mi13k km² matching 80% or better

    For example Alto Alegre do Pindaré (80), Santa Luzia (80)

  11. 11

    🇻🇳Ca Mau, Vietnam

    3,800 sq mi9,900 km² matching 80% or better

    For example Giá Rai (88), Ấp Hô Phòng (88)

  12. 12

    🇸🇱Southern Province, Sierra Leone

    3,600 sq mi9,200 km² matching 80% or better

    For example Bumpe (82), Njala (78)

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 13 of your 16 great-fit crops · Also great there: citrus, avocado

    97%match
  2. 2

    🇵🇭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 15 of your 16 great-fit crops · Also great there: citrus, avocado

    95%match
  3. 3

    🇵🇭San NarcisoCentral Luzon, Philippines

    Zone 13a · No frost · 0 chill hours · 130 in rainZone 13a · No frost · 0 chill hours · 3,314 mm rain

    Shares 12 of your 16 great-fit crops

    95%match
  4. 4

    🇵🇭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 16 great-fit crops

    94%match
  5. 5

    🇵🇭MamburaoMimaropa, Philippines

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

    Shares 15 of your 16 great-fit crops · Also great there: citrus, avocado

    93%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 16 great-fit crops

    93%match
  7. 7

    🇵🇭TaalCalabarzon, Philippines

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

    Shares 16 of your 16 great-fit crops · Also great there: citrus, avocado, macadamia

    93%match
  8. 8

    🇵🇭SablayanMimaropa, Philippines

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

    Shares 15 of your 16 great-fit crops · Also great there: citrus, avocado

    92%match
  9. 9

    🇵🇭El NidoMimaropa, Philippines

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

    Shares 16 of your 16 great-fit crops · Also great there: citrus, macadamia, avocado

    92%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 14 of your 16 great-fit crops · Also great there: citrus, avocado

    92%match
  11. 11

    🇻🇳Phú MỹHo Chi Minh City (HCMC), Vietnam

    Zone 13a · No frost · 0 chill hours · 80 in rainZone 13a · No frost · 0 chill hours · 2,031 mm rain

    Shares 13 of your 16 great-fit crops · Also great there: citrus, avocado, macadamia

    91%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 16 great-fit crops

    91%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 15 of your 16 great-fit crops · Also great there: avocado, citrus, macadamia

    90%match
  14. 14

    🇵🇭San FernandoIlocos, Philippines

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

    Shares 12 of your 16 great-fit crops · Also great there: citrus, avocado, date palm

    90%match
  15. 15

    🇵🇭CalambaCalabarzon, Philippines

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

    Shares 14 of your 16 great-fit crops · Also great there: citrus, avocado

    89%match
  16. 16

    🇮🇩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 15 of your 16 great-fit crops · Also great there: citrus, avocado

    89%match
  17. 17

    🇵🇭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 16 great-fit crops

    89%match
  18. 18

    🇮🇳DiglipurAndaman and Nicobar, India

    Zone 13a · No frost · 0 chill hours · 126 in rainZone 13a · No frost · 0 chill hours · 3,201 mm rain

    Shares 14 of your 16 great-fit crops

    89%match
  19. 19

    🇵🇭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 16 great-fit crops

    88%match
  20. 20

    🇮🇳MāyābandarAndaman and Nicobar, India

    Zone 13b · No frost · 0 chill hours · 127 in rainZone 13b · No frost · 0 chill hours · 3,230 mm rain

    Shares 15 of your 16 great-fit crops

    88%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 Mariveles: 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.