Climatch

Land with a climate like Silang

🇵🇭Silang, Calabarzon, Philippines

The towns with the closest growing climate to Silang are Norzagaray, Philippines (97% match), Mamburao and Sablayan. About 864,000 sq mi of land in 25 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Mimaropa, Philippines.The towns with the closest growing climate to Silang are Norzagaray, Philippines (97% match), Mamburao and Sablayan. About 2.2 million km² of land in 25 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 · 94 in rainZone 13a · No frost · 0 chill hours · 2,379 mm rain

What grows in Silang →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    128k sq mi333k km² matching 80% or better

    For example Aveiro (90), Rurópolis (89)

  2. 2

    🇧🇷Amazonas, Brazil

    95k sq mi246k km² matching 80% or better

    For example Manacapuru (89), Manaquiri (89)

  3. 3

    🇵🇭Mimaropa, Philippines

    27k sq mi69k km² matching 80% or better

    For example Mamburao (96), Sablayan (96)

  4. 4

    🇻🇪Bolívar, Venezuela

    18k sq mi46k km² matching 80% or better

    For example La Paragua (85), Guasipati (84)

  5. 5

    🇵🇭Western Visayas, Philippines

    15k sq mi38k km² matching 80% or better

    For example Asia (97), Sipalay (94)

  6. 6

    🇮🇩East Java, Indonesia

    15k sq mi38k km² matching 80% or better

    For example Singojuruh (92), Genteng (92)

  7. 7

    🇵🇭Calabarzon, Philippines

    15k sq mi38k km² matching 80% or better

    For example Aurora (92), Mauban (90)

  8. 8

    🇮🇩Central Java, Indonesia

    14k sq mi37k km² matching 80% or better

    For example Tegal (88), Pemalang (88)

  9. 9

    🇧🇷Acre, Brazil

    14k sq mi35k km² matching 80% or better

    For example Mâncio Lima (82), Marechal Thaumaturgo (82)

  10. 10

    🇮🇩Lampung, Indonesia

    9,200 sq mi24k km² matching 80% or better

    For example Metro (89), Bandar Lampung (87)

  11. 11

    🇧🇴Beni Department, Bolivia

    8,100 sq mi21k km² matching 80% or better

    For example San Borja (80), Trinidad (77)

  12. 12

    🇵🇪Madre de Dios, Peru

    6,100 sq mi16k km² matching 80% or better

    For example Puerto Maldonado (83), Tambopata (82)

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

    🇵🇭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

    97%match
  2. 2

    🇵🇭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

    96%match
  3. 3

    🇵🇭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

    96%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 19 great-fit crops

    95%match
  5. 5

    🇵🇭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

    94%match
  6. 6

    🇵🇭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

    94%match
  7. 7

    🇵🇭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

    93%match
  8. 8

    🇵🇭TabukCordillera, Philippines

    Zone 12b · No frost · 0 chill hours · 87 in rainZone 12b · No frost · 0 chill hours · 2,212 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: wheat

    93%match
  9. 9

    🇵🇭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

    93%match
  10. 10

    🇵🇭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

    93%match
  11. 11

    🇵🇭BambangCagayan Valley, Philippines

    Zone 12b · No frost · 0 chill hours · 70 in rainZone 12b · No frost · 0 chill hours · 1,782 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: wheat

    92%match
  12. 12

    🇵🇭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 19 great-fit crops

    92%match
  13. 13

    🇵🇭SioconZamboanga Peninsula, Philippines

    Zone 13b · No frost · 0 chill hours · 78 in rainZone 13b · No frost · 0 chill hours · 1,987 mm rain

    Shares 18 of your 19 great-fit crops

    92%match
  14. 14

    🇵🇭AuroraCalabarzon, Philippines

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

    Shares 19 of your 19 great-fit crops

    92%match
  15. 15

    🇵🇭RomblonMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 92 in rainZone 13b · No frost · 0 chill hours · 2,349 mm rain

    Shares 19 of your 19 great-fit crops

    91%match
  16. 16

    🇵🇭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 19 great-fit crops

    91%match
  17. 17

    🇵🇭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

    90%match
  18. 18

    🇧🇷Aveiro↻Seasons flipped. Pará, Brazil

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,931 mm rain

    Shares 19 of your 19 great-fit crops

    90%match
  19. 19

    🇵🇭BongabonCentral Luzon, Philippines

    Zone 13a · No frost · 0 chill hours · 88 in rainZone 13a · No frost · 0 chill hours · 2,231 mm rain

    Shares 18 of your 19 great-fit crops

    90%match
  20. 20

    🇮🇩Serang↻Seasons flipped. Banten, Indonesia

    Zone 13b · No frost · 0 chill hours · 71 in rainZone 13b · No frost · 0 chill hours · 1,812 mm rain

    Shares 18 of your 19 great-fit crops

    90%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 Silang: 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.