Climatch

Land with a climate like San Pablo, Philippines

🇵🇭San Pablo, Calabarzon, Philippines

The towns with the closest growing climate to San Pablo, Philippines are Victoria, Philippines (99% match), Romblon and Passi. About 1.5 million sq mi of land in 36 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Mimaropa, Philippines.The towns with the closest growing climate to San Pablo, Philippines are Victoria, Philippines (99% match), Romblon and Passi. About 3.8 million km² of land in 36 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Mimaropa, Philippines.

Your growing climate

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

What grows in San Pablo, Philippines →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    141k sq mi365k km² matching 80% or better

    For example Parintins (93), Urucurituba (93)

  2. 2

    🇧🇷Pará, Brazil

    122k sq mi316k km² matching 80% or better

    For example Terra Santa (93), Oriximiná (93)

  3. 3

    🇵🇭Mimaropa, Philippines

    29k sq mi74k km² matching 80% or better

    For example Pinamalayan (99), Victoria (99)

  4. 4

    🇮🇩Central Kalimantan, Indonesia

    24k sq mi63k km² matching 80% or better

    For example Kualakapuas (88), Sampit (86)

  5. 5

    🇵🇪Loreto, Peru

    19k sq mi49k km² matching 80% or better

    For example Yurimaguas (86), Requena (83)

  6. 6

    🇮🇩Jambi, Indonesia

    17k sq mi45k km² matching 80% or better

    For example Simpang (83), Jambi City (83)

  7. 7

    🇮🇩South Sumatra, Indonesia

    16k sq mi43k km² matching 80% or better

    For example Palembang (86), Baturaja (86)

  8. 8

    🇵🇭Western Visayas, Philippines

    15k sq mi40k km² matching 80% or better

    For example Passi (99), Iloilo (99)

  9. 9

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi38k km² matching 80% or better

    For example City of Isabela (95), Maluso (94)

  10. 10

    🇲🇾Sabah, Malaysia

    13k sq mi32k km² matching 80% or better

    For example Putatan (91), Donggongon (90)

  11. 11

    🇧🇷Amapá, Brazil

    9,600 sq mi25k km² matching 80% or better

    For example Laranjal do Jari (87), Santana (86)

  12. 12

    🇲🇾Johor, Malaysia

    8,100 sq mi21k km² matching 80% or better

    For example Muar (86), Tangkak (86)

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

    🇵🇭VictoriaMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,505 mm rain

    Shares 17 of your 19 great-fit crops

    99%match
  2. 2

    🇵🇭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

    99%match
  3. 3

    🇵🇭PassiWestern Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,470 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  4. 4

    🇵🇭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

    99%match
  5. 5

    🇵🇭CatanauanCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 83 in rainZone 13a · No frost · 0 chill hours · 2,108 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  6. 6

    🇵🇭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

    98%match
  7. 7

    🇵🇭Bacolod CityWestern Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 105 in rainZone 13b · No frost · 0 chill hours · 2,668 mm rain

    Shares 16 of your 19 great-fit crops

    98%match
  8. 8

    🇵🇭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

    97%match
  9. 9

    🇵🇭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

    97%match
  10. 10

    🇵🇭BaisCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 81 in rainZone 13b · No frost · 0 chill hours · 2,052 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  11. 11

    🇵🇭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

    97%match
  12. 12

    🇵🇭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

    97%match
  13. 13

    🇵🇭DipologZamboanga Peninsula, Philippines

    Zone 13b · No frost · 0 chill hours · 95 in rainZone 13b · No frost · 0 chill hours · 2,420 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  14. 14

    🇵🇭CalauagCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 95 in rainZone 13a · No frost · 0 chill hours · 2,412 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  15. 15

    🇵🇭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

    97%match
  16. 16

    🇵🇭Roxas CityWestern Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,456 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  17. 17

    🇵🇭DaanbantayanCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 91 in rainZone 13b · No frost · 0 chill hours · 2,308 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  18. 18

    🇵🇭IlaganCagayan Valley, Philippines

    Zone 12b · No frost · 0 chill hours · 85 in rainZone 12b · No frost · 0 chill hours · 2,162 mm rain

    Shares 16 of your 19 great-fit crops

    97%match
  19. 19

    🇵🇭Cagayan de OroNorthern Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 76 in rainZone 13b · No frost · 0 chill hours · 1,925 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  20. 20

    🇵🇭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

    96%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 San Pablo, Philippines: 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.