Climatch

Land with a climate like Batangas

🇵🇭Batangas, Calabarzon, Philippines

The towns with the closest growing climate to Batangas are Mamburao, Philippines (99% match), Sablayan and Mansalay. About 765,000 sq mi of land in 21 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Mimaropa, Philippines.The towns with the closest growing climate to Batangas are Mamburao, Philippines (99% match), Sablayan and Mansalay. About 2.0 million km² of land in 21 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 · 79 in rainZone 13a · No frost · 0 chill hours · 1,998 mm rain

What grows in Batangas →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    133k sq mi345k km² matching 80% or better

    For example Juruti (94), Terra Santa (93)

  2. 2

    🇧🇷Amazonas, Brazil

    85k sq mi221k km² matching 80% or better

    For example Nhamundá (93), Urucará (93)

  3. 3

    🇵🇭Mimaropa, Philippines

    27k sq mi71k km² matching 80% or better

    For example Mamburao (99), Sablayan (99)

  4. 4

    🇵🇭Calabarzon, Philippines

    15k sq mi38k km² matching 80% or better

    For example Taytay (99), Morong (99)

  5. 5

    🇵🇭Western Visayas, Philippines

    14k sq mi37k km² matching 80% or better

    For example Iloilo (98), Sipalay (97)

  6. 6

    🇮🇩Southeast Sulawesi, Indonesia

    11k sq mi29k km² matching 80% or better

    For example Baubau (84), Kendari (84)

  7. 7

    🇧🇷Maranhão, Brazil

    10k sq mi26k km² matching 80% or better

    For example Zé Doca (87), Pedro do Rosário (85)

  8. 8

    🇮🇩Central Kalimantan, Indonesia

    8,400 sq mi22k km² matching 80% or better

    For example Kualakapuas (84), Sampit (78)

  9. 9

    🇮🇩South Kalimantan, Indonesia

    8,100 sq mi21k km² matching 80% or better

    For example Banjarmasin (83), Banjarbaru (82)

  10. 10

    🇻🇪Bolívar, Venezuela

    7,400 sq mi19k km² matching 80% or better

    For example La Paragua (81), Guasipati (80)

  11. 11

    🇮🇳Andaman and Nicobar, India

    5,000 sq mi13k km² matching 80% or better

    For example Port Blair (84), Rangat (82)

  12. 12

    🇵🇬Western Province, Papua New Guinea

    4,400 sq mi11k km² matching 80% or better

    For example Daru (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

    🇵🇭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 18 great-fit crops

    99%match
  2. 2

    🇵🇭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 18 great-fit crops

    99%match
  3. 3

    🇵🇭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 18 great-fit crops

    98%match
  4. 4

    🇵🇭AuroraCalabarzon, Philippines

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

    Shares 18 of your 18 great-fit crops · Also great there: macadamia

    98%match
  5. 5

    🇵🇭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 18 great-fit crops

    98%match
  6. 6

    🇵🇭RoxasMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,968 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia

    98%match
  7. 7

    🇵🇭Quezon CityNational Capital Region, Philippines

    Zone 13a · No frost · 0 chill hours · 103 in rainZone 13a · No frost · 0 chill hours · 2,611 mm rain

    Shares 15 of your 18 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 18 great-fit crops

    98%match
  9. 9

    🇵🇭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 18 great-fit crops

    98%match
  10. 10

    🇵🇭Puerto PrincesaMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 63 in rainZone 13b · No frost · 0 chill hours · 1,596 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: macadamia

    97%match
  11. 11

    🇵🇭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 18 great-fit crops

    97%match
  12. 12

    🇵🇭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 18 great-fit crops

    96%match
  13. 13

    🇵🇭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 18 great-fit crops

    95%match
  14. 14

    🇵🇭SioconZamboanga Peninsula, Philippines

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

    Shares 17 of your 18 great-fit crops · Also great there: macadamia

    95%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 18 of your 18 great-fit crops · Also great there: macadamia

    94%match
  16. 16

    🇵🇭MaubanCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 90 in rainZone 13a · No frost · 0 chill hours · 2,284 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: macadamia

    94%match
  17. 17

    🇵🇭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 18 great-fit crops

    94%match
  18. 18

    🇵🇭TuguegaraoCagayan Valley, Philippines

    Zone 13a · No frost · 0 chill hours · 74 in rainZone 13a · No frost · 0 chill hours · 1,871 mm rain

    Shares 16 of your 18 great-fit crops

    94%match
  19. 19

    🇵🇭PassiWestern Visayas, Philippines

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

    Shares 17 of your 18 great-fit crops · Also great there: macadamia

    94%match
  20. 20

    🇵🇭San JoseMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 126 in rainZone 13b · No frost · 0 chill hours · 3,209 mm rain

    Shares 15 of your 18 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 Batangas: 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.