Climatch

Land with a climate like Valenzuela

🇵🇭Valenzuela, National Capital Region, Philippines

The towns with the closest growing climate to Valenzuela are Mamburao, Philippines (99% match), Sablayan and Nasugbu. About 525,000 sq mi of land in 20 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Mimaropa, Philippines.The towns with the closest growing climate to Valenzuela are Mamburao, Philippines (99% match), Sablayan and Nasugbu. About 1.4 million km² of land in 20 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Mimaropa, Philippines.

Your growing climate

Zone 13a · No frost · 0 chill hours · 103 in rainZone 13a · No frost · 0 chill hours · 2,610 mm rain

What grows in Valenzuela →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    75k sq mi195k km² matching 80% or better

    For example Juruti (90), Terra Santa (90)

  2. 2

    🇧🇷Amazonas, Brazil

    56k sq mi145k km² matching 80% or better

    For example Nhamundá (90), Urucará (89)

  3. 3

    🇵🇭Mimaropa, Philippines

    24k sq mi63k km² matching 80% or better

    For example Mamburao (99), Sablayan (99)

  4. 4

    🇻🇪Bolívar, Venezuela

    13k sq mi33k km² matching 80% or better

    For example La Paragua (87), Ciudad Piar (82)

  5. 5

    🇮🇩East Java, Indonesia

    12k sq mi31k km² matching 80% or better

    For example Sangkapura (88), Srono (88)

  6. 6

    🇵🇭Calabarzon, Philippines

    11k sq mi29k km² matching 80% or better

    For example Calaca (99), Balayan (99)

  7. 7

    🇵🇭Western Visayas, Philippines

    11k sq mi28k km² matching 80% or better

    For example Sipalay (98), Asia (97)

  8. 8

    🇮🇩Central Java, Indonesia

    10k sq mi27k km² matching 80% or better

    For example Bulakamba (92), Ketanggungan (92)

  9. 9

    🇮🇩West Java, Indonesia

    8,000 sq mi21k km² matching 80% or better

    For example Weru (93), Karangsembung (92)

  10. 10

    🇧🇴Beni Department, Bolivia

    6,600 sq mi17k km² matching 80% or better

    For example San Borja (82), Riberalta (77)

  11. 11

    🇧🇷Maranhão, Brazil

    6,300 sq mi16k km² matching 80% or better

    For example Santa Inês (84), Pindaré-Mirim (84)

  12. 12

    🇮🇳Andaman and Nicobar, India

    6,100 sq mi16k km² matching 80% or better

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

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 18 great-fit crops

    99%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 18 great-fit crops

    99%match
  3. 3

    🇵🇭NasugbuCalabarzon, Philippines

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

    Shares 18 of your 18 great-fit crops

    99%match
  4. 4

    🇵🇭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 18 great-fit crops

    98%match
  5. 5

    🇵🇭BatangasCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 79 in rainZone 13a · No frost · 0 chill hours · 1,998 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  6. 6

    🇵🇭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 18 great-fit crops

    98%match
  7. 7

    🇵🇭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 18 great-fit crops

    98%match
  8. 8

    🇵🇭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 18 great-fit crops

    97%match
  9. 9

    🇵🇭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 18 great-fit crops

    97%match
  10. 10

    🇵🇭IloiloWestern Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,452 mm rain

    Shares 17 of your 18 great-fit crops

    96%match
  11. 11

    🇵🇭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 18 great-fit crops · Also great there: macadamia

    96%match
  12. 12

    🇵🇭San PabloCalabarzon, Philippines

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

    Shares 18 of your 18 great-fit crops · Also great there: macadamia

    95%match
  13. 13

    🇵🇭CapasCentral Luzon, Philippines

    Zone 13a · No frost · 0 chill hours · 80 in rainZone 13a · No frost · 0 chill hours · 2,025 mm rain

    Shares 16 of your 18 great-fit crops

    94%match
  14. 14

    🇵🇭KabankalanWestern Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 103 in rainZone 13b · No frost · 0 chill hours · 2,626 mm rain

    Shares 16 of your 18 great-fit crops

    94%match
  15. 15

    🇵🇭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 18 great-fit crops

    94%match
  16. 16

    🇵🇭El NidoMimaropa, Philippines

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

    Shares 18 of your 18 great-fit crops · Also great there: macadamia

    93%match
  17. 17

    🇵🇭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 18 great-fit crops

    93%match
  18. 18

    🇵🇭La CarlotaWestern Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 107 in rainZone 13b · No frost · 0 chill hours · 2,723 mm rain

    Shares 16 of your 18 great-fit crops

    92%match
  19. 19

    🇮🇩Tegal↻Seasons flipped. Central Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,943 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia

    92%match
  20. 20

    🇵🇭AuroraCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 74 in rainZone 13a · No frost · 0 chill hours · 1,886 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: macadamia

    92%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 Valenzuela: 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.