Climatch

Land with a climate like Murcia, Philippines

🇵🇭Murcia, Western Visayas, Philippines

The towns with the closest growing climate to Murcia, Philippines are Dipolog, Philippines (99% match), Pagadian and Bais. About 2.5 million sq mi of land in 32 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Sarawak, Malaysia.The towns with the closest growing climate to Murcia, Philippines are Dipolog, Philippines (99% match), Pagadian and Bais. About 6.4 million km² of land in 32 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Sarawak, Malaysia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 102 in rainZone 13a · No frost · 0 chill hours · 2,583 mm rain

What grows in Murcia, Philippines →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    193k sq mi501k km² matching 80% or better

    For example Fonte Boa (98), Maraã (98)

  2. 2

    🇧🇷Pará, Brazil

    88k sq mi228k km² matching 80% or better

    For example Oriximiná (92), Itaituba (92)

  3. 3

    🇲🇾Sarawak, Malaysia

    43k sq mi111k km² matching 80% or better

    For example Bintulu (91), Niah (91)

  4. 4

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Pangkalanbuun (94), Sampit (94)

  5. 5

    🇵🇪Loreto, Peru

    25k sq mi66k km² matching 80% or better

    For example Requena (97), Yurimaguas (96)

  6. 6

    🇮🇩West Kalimantan, Indonesia

    25k sq mi63k km² matching 80% or better

    For example Manismata (92), Pontianak (91)

  7. 7

    🇮🇩North Sumatra, Indonesia

    23k sq mi59k km² matching 80% or better

    For example Deli Tua (98), Medan (98)

  8. 8

    🇲🇾Sabah, Malaysia

    22k sq mi56k km² matching 80% or better

    For example Tawau (93), Putatan (90)

  9. 9

    🇵🇭Mimaropa, Philippines

    21k sq mi53k km² matching 80% or better

    For example Calapan (99), Victoria (99)

  10. 10

    🇧🇷Acre, Brazil

    20k sq mi51k km² matching 80% or better

    For example Mâncio Lima (89), Cruzeiro do Sul (87)

  11. 11

    🇵🇭Bicol Region, Philippines

    17k sq mi45k km² matching 80% or better

    For example Naga (98), Magarao (98)

  12. 12

    🇵🇭Western Visayas, Philippines

    15k sq mi40k km² matching 80% or better

    For example Estancia (97), Asia (94)

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

    🇵🇭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

    99%match
  2. 2

    🇵🇭PagadianZamboanga Peninsula, Philippines

    Zone 13b · No frost · 0 chill hours · 124 in rainZone 13b · No frost · 0 chill hours · 3,138 mm rain

    Shares 14 of your 19 great-fit crops

    99%match
  3. 3

    🇵🇭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

    99%match
  4. 4

    🇵🇭NIA ValenciaNorthern Mindanao, Philippines

    Zone 13a · No frost · 0 chill hours · 107 in rainZone 13a · No frost · 0 chill hours · 2,718 mm rain

    Shares 18 of your 19 great-fit crops

    98%match
  5. 5

    🇵🇭KidapawanSoccsksargen, Philippines

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

    Shares 19 of your 19 great-fit crops

    98%match
  6. 6

    🇵🇭IpilZamboanga Peninsula, Philippines

    Zone 13b · No frost · 0 chill hours · 94 in rainZone 13b · No frost · 0 chill hours · 2,388 mm rain

    Shares 17 of your 19 great-fit crops

    98%match
  7. 7

    🇵🇭PinamalayanMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,525 mm rain

    Shares 17 of your 19 great-fit crops

    98%match
  8. 8

    🇧🇷Fonte Boa↻Seasons flipped. Amazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 108 in rainZone 13b · No frost · 0 chill hours · 2,749 mm rain

    Shares 16 of your 19 great-fit crops

    98%match
  9. 9

    🇮🇩MedanNorth Sumatra, Indonesia

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

    Shares 17 of your 19 great-fit crops

    98%match
  10. 10

    🇵🇭NagaBicol Region, Philippines

    Zone 13a · No frost · 0 chill hours · 117 in rainZone 13a · No frost · 0 chill hours · 2,978 mm rain

    Shares 16 of your 19 great-fit crops

    98%match
  11. 11

    🇧🇷Maraã↻Seasons flipped. Amazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 109 in rainZone 13b · No frost · 0 chill hours · 2,771 mm rain

    Shares 16 of your 19 great-fit crops

    98%match
  12. 12

    🇵🇭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

    98%match
  13. 13

    🇵🇭City of IsabelaAutonomous Region in Muslim Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 76 in rainZone 13b · No frost · 0 chill hours · 1,936 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  14. 14

    🇵🇭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
  15. 15

    🇵🇪Requena↻Seasons flipped. Loreto, Peru

    Zone 13a · No frost · 0 chill hours · 98 in rainZone 13a · No frost · 0 chill hours · 2,477 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  16. 16

    🇵🇭IliganNorthern Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 126 in rainZone 13b · No frost · 0 chill hours · 3,203 mm rain

    Shares 14 of your 19 great-fit crops

    97%match
  17. 17

    🇮🇩LangsaAceh, Indonesia

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,351 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  18. 18

    🇮🇩TebingtinggiNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 108 in rainZone 13a · No frost · 0 chill hours · 2,754 mm rain

    Shares 16 of your 19 great-fit crops

    97%match
  19. 19

    🇲🇾MalaccaMelaka, Malaysia

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,364 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  20. 20

    🇧🇷Beruri↻Seasons flipped. Amazonas, Brazil

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,502 mm rain

    Shares 18 of your 19 great-fit crops

    97%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 Murcia, 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.