Climatch

Land with a climate like Aurora, Philippines

🇵🇭Aurora, Calabarzon, Philippines

The towns with the closest growing climate to Aurora, Philippines are San Pablo, Philippines (99% match), Pagbilao and Romblon. About 874,000 sq mi of land in 28 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Mimaropa, Philippines.The towns with the closest growing climate to Aurora, Philippines are San Pablo, Philippines (99% match), Pagbilao and Romblon. About 2.3 million km² of land in 28 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 · 74 in rainZone 13a · No frost · 0 chill hours · 1,886 mm rain

What grows in Aurora, Philippines →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    82k sq mi213k km² matching 80% or better

    For example Juruti (89), Santarém (88)

  2. 2

    🇧🇷Amazonas, Brazil

    66k sq mi171k km² matching 80% or better

    For example Parintins (87), Nhamundá (86)

  3. 3

    🇵🇭Mimaropa, Philippines

    28k sq mi74k km² matching 80% or better

    For example Romblon (99), Pinamalayan (98)

  4. 4

    🇵🇭Western Visayas, Philippines

    15k sq mi39k km² matching 80% or better

    For example Passi (96), Sagay (95)

  5. 5

    🇵🇭Calabarzon, Philippines

    14k sq mi37k km² matching 80% or better

    For example Calauan (99), Pila (99)

  6. 6

    🇮🇩Southeast Sulawesi, Indonesia

    13k sq mi34k km² matching 80% or better

    For example Kendari (90), Katobu (87)

  7. 7

    🇮🇩Maluku, Indonesia

    13k sq mi33k km² matching 80% or better

    For example Namlea (95), Tual (91)

  8. 8

    🇲🇾Sabah, Malaysia

    13k sq mi32k km² matching 80% or better

    For example Putatan (90), Petagas (89)

  9. 9

    🇮🇩Central Sulawesi, Indonesia

    10k sq mi27k km² matching 80% or better

    For example Luwuk (88), Bungku (84)

  10. 10

    🇧🇷Maranhão, Brazil

    9,300 sq mi24k km² matching 80% or better

    For example Pedro do Rosário (84), Santa Luzia do Paruá (84)

  11. 11

    🇻🇪Monagas, Venezuela

    6,500 sq mi17k km² matching 80% or better

    For example Caripito (81), Temblador (81)

  12. 12

    🇻🇪Bolívar, Venezuela

    6,200 sq mi16k km² matching 80% or better

    For example Tumeremo (81), Guasipati (81)

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

    🇵🇭San PabloCalabarzon, 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

    99%match
  2. 2

    🇵🇭PagbilaoCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,171 mm rain

    Shares 19 of your 19 great-fit crops

    99%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

    99%match
  4. 4

    🇵🇭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 19 great-fit crops

    98%match
  5. 5

    🇵🇭GumacaCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 89 in rainZone 13a · No frost · 0 chill hours · 2,262 mm rain

    Shares 19 of your 19 great-fit crops

    98%match
  6. 6

    🇵🇭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
  7. 7

    🇵🇭NarraMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 63 in rainZone 13b · No frost · 0 chill hours · 1,611 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  8. 8

    🇵🇭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

    97%match
  9. 9

    🇵🇭JetafeCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 70 in rainZone 13b · No frost · 0 chill hours · 1,777 mm rain

    Shares 17 of your 19 great-fit crops

    96%match
  10. 10

    🇵🇭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

    96%match
  11. 11

    🇵🇭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

    96%match
  12. 12

    🇵🇭ToledoCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 67 in rainZone 13b · No frost · 0 chill hours · 1,694 mm rain

    Shares 17 of your 19 great-fit crops

    96%match
  13. 13

    🇵🇭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

    96%match
  14. 14

    🇵🇭Cebu CityCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 67 in rainZone 13b · No frost · 0 chill hours · 1,705 mm rain

    Shares 17 of your 19 great-fit crops

    96%match
  15. 15

    🇵🇭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

    95%match
  16. 16

    🇵🇭Brookes PointMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 65 in rainZone 13b · No frost · 0 chill hours · 1,656 mm rain

    Shares 17 of your 19 great-fit crops

    95%match
  17. 17

    🇮🇩Namlea↻Seasons flipped. Maluku, Indonesia

    Zone 13b · No frost · 0 chill hours · 56 in rainZone 13b · No frost · 0 chill hours · 1,420 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: fig

    95%match
  18. 18

    🇵🇭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
  19. 19

    🇵🇭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

    95%match
  20. 20

    🇵🇭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

    94%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 Aurora, 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.