Climatch

Land with a climate like Sampaloc

🇵🇭Sampaloc, Calabarzon, Philippines

The towns with the closest growing climate to Sampaloc are Cuenca, Philippines (99% match), Tabuk and Romblon. About 1.5 million sq mi of land in 38 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Mimaropa, Philippines.The towns with the closest growing climate to Sampaloc are Cuenca, Philippines (99% match), Tabuk and Romblon. About 3.9 million km² of land in 38 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 · 101 in rainZone 13a · No frost · 0 chill hours · 2,565 mm rain

What grows in Sampaloc →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    138k sq mi359k km² matching 80% or better

    For example Novo Airão (90), Iranduba (89)

  2. 2

    🇧🇷Pará, Brazil

    117k sq mi303k km² matching 80% or better

    For example Bagre (88), Aveiro (88)

  3. 3

    🇵🇭Mimaropa, Philippines

    28k sq mi72k km² matching 80% or better

    For example Romblon (96), Mansalay (95)

  4. 4

    🇮🇩South Sumatra, Indonesia

    19k sq mi50k km² matching 80% or better

    For example Tanjungagung (85), Baturaja (85)

  5. 5

    🇮🇩Jambi, Indonesia

    17k sq mi43k km² matching 80% or better

    For example Mendaha (80), Muara Bungo (80)

  6. 6

    🇻🇪Bolívar, Venezuela

    16k sq mi41k km² matching 80% or better

    For example La Paragua (80), Guasipati (80)

  7. 7

    🇵🇭Western Visayas, Philippines

    15k sq mi40k km² matching 80% or better

    For example Asia (96), Bago City (96)

  8. 8

    🇮🇩Central Kalimantan, Indonesia

    15k sq mi38k km² matching 80% or better

    For example Kualakapuas (82), Pangkalanbuun (82)

  9. 9

    🇵🇭Calabarzon, Philippines

    15k sq mi38k km² matching 80% or better

    For example Cuenca (99), Rosario (97)

  10. 10

    🇳🇮South Caribbean Coast, Nicaragua

    10k sq mi27k km² matching 80% or better

    For example Nueva Guinea (87), Rama (85)

  11. 11

    🇧🇷Amapá, Brazil

    9,900 sq mi26k km² matching 80% or better

    For example Laranjal do Jari (84), Mazagão (83)

  12. 12

    🇳🇮North Caribbean Coast, Nicaragua

    9,900 sq mi26k km² matching 80% or better

    For example Puerto Cabezas (84), Siuna (84)

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

    🇵🇭CuencaCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 88 in rainZone 13a · No frost · 0 chill hours · 2,233 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  2. 2

    🇵🇭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

    97%match
  3. 3

    🇵🇭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

    96%match
  4. 4

    🇵🇭Iligan CitySoccsksargen, Philippines

    Zone 13a · No frost · 0 chill hours · 106 in rainZone 13a · No frost · 0 chill hours · 2,696 mm rain

    Shares 18 of your 19 great-fit crops

    95%match
  5. 5

    🇵🇭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
  6. 6

    🇵🇭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

    95%match
  7. 7

    🇵🇭SantiagoCagayan Valley, Philippines

    Zone 12b · No frost · 0 chill hours · 85 in rainZone 12b · No frost · 0 chill hours · 2,158 mm rain

    Shares 17 of your 19 great-fit crops

    95%match
  8. 8

    🇵🇭Sanchez-MiraCagayan Valley, Philippines

    Zone 13a · No frost · 0 chill hours · 101 in rainZone 13a · No frost · 0 chill hours · 2,562 mm rain

    Shares 19 of your 19 great-fit crops

    94%match
  9. 9

    🇮🇩Genteng↻Seasons flipped. East Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 81 in rainZone 13a · No frost · 0 chill hours · 2,069 mm rain

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

    94%match
  10. 10

    🇵🇭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

    94%match
  11. 11

    🇵🇭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

    94%match
  12. 12

    🇵🇭UalogWestern Visayas, Philippines

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,178 mm rain

    Shares 19 of your 19 great-fit crops

    94%match
  13. 13

    🇵🇭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

    93%match
  14. 14

    🇵🇭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

    93%match
  15. 15

    🇵🇭AparriCagayan Valley, Philippines

    Zone 13a · No frost · 0 chill hours · 91 in rainZone 13a · No frost · 0 chill hours · 2,324 mm rain

    Shares 18 of your 19 great-fit crops

    93%match
  16. 16

    🇵🇭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
  17. 17

    🇵🇭Manolo FortichNorthern Mindanao, Philippines

    Zone 13a · No frost · 0 chill hours · 109 in rainZone 13a · No frost · 0 chill hours · 2,779 mm rain

    Shares 17 of your 19 great-fit crops

    93%match
  18. 18

    🇵🇭CalapanMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 94 in rainZone 13b · No frost · 0 chill hours · 2,394 mm rain

    Shares 17 of your 19 great-fit crops

    93%match
  19. 19

    🇵🇭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

    93%match
  20. 20

    🇵🇭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

    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 Sampaloc: 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.