Climatch

Land with a climate like Indang

🇵🇭Indang, Calabarzon, Philippines

The towns with the closest growing climate to Indang are Norzagaray, Philippines (95% match), Sablayan and Mamburao. About 645,000 sq mi of land in 25 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Mimaropa, Philippines.The towns with the closest growing climate to Indang are Norzagaray, Philippines (95% match), Sablayan and Mamburao. About 1.7 million km² of land in 25 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 · 95 in rainZone 13a · No frost · 0 chill hours · 2,406 mm rain

What grows in Indang →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    120k sq mi312k km² matching 80% or better

    For example Aveiro (89), Placas (88)

  2. 2

    🇧🇷Amazonas, Brazil

    72k sq mi187k km² matching 80% or better

    For example Manacapuru (87), Iranduba (86)

  3. 3

    🇵🇭Mimaropa, Philippines

    26k sq mi67k km² matching 80% or better

    For example Sablayan (94), Mamburao (94)

  4. 4

    🇮🇩East Java, Indonesia

    15k sq mi38k km² matching 80% or better

    For example Singojuruh (91), Genteng (91)

  5. 5

    🇻🇪Bolívar, Venezuela

    14k sq mi36k km² matching 80% or better

    For example La Paragua (84), Upata (83)

  6. 6

    🇧🇷Acre, Brazil

    14k sq mi35k km² matching 80% or better

    For example Marechal Thaumaturgo (81), Mâncio Lima (81)

  7. 7

    🇵🇭Calabarzon, Philippines

    13k sq mi34k km² matching 80% or better

    For example Aurora (89), Tayabas (87)

  8. 8

    🇮🇩Central Java, Indonesia

    12k sq mi32k km² matching 80% or better

    For example Karangnongko (89), Ungaran (88)

  9. 9

    🇵🇭Western Visayas, Philippines

    12k sq mi31k km² matching 80% or better

    For example Asia (95), Sipalay (93)

  10. 10

    🇮🇩Lampung, Indonesia

    9,200 sq mi24k km² matching 80% or better

    For example Metro (87), Bandar Lampung (85)

  11. 11

    🇧🇴Beni Department, Bolivia

    7,200 sq mi19k km² matching 80% or better

    For example San Borja (79), Trinidad (76)

  12. 12

    🇵🇪Madre de Dios, Peru

    5,500 sq mi14k km² matching 80% or better

    For example Puerto Maldonado (82), Tambopata (80)

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

    🇵🇭NorzagarayCentral Luzon, Philippines

    Zone 13a · No frost · 0 chill hours · 117 in rainZone 13a · No frost · 0 chill hours · 2,970 mm rain

    Shares 16 of your 19 great-fit crops

    95%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 19 great-fit crops

    94%match
  3. 3

    🇵🇭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

    94%match
  4. 4

    🇵🇭El NidoMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,474 mm rain

    Shares 19 of your 19 great-fit crops

    94%match
  5. 5

    🇵🇭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
  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

    93%match
  7. 7

    🇵🇭CulionMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 128 in rainZone 13b · No frost · 0 chill hours · 3,250 mm rain

    Shares 14 of your 19 great-fit crops

    92%match
  8. 8

    🇵🇭RoxasMimaropa, Philippines

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

    Shares 18 of your 19 great-fit crops

    92%match
  9. 9

    🇵🇭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

    92%match
  10. 10

    🇵🇭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

    92%match
  11. 11

    🇵🇭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

    90%match
  12. 12

    🇵🇭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

    90%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

    89%match
  14. 14

    🇵🇭AuroraCalabarzon, Philippines

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

    Shares 19 of your 19 great-fit crops

    89%match
  15. 15

    🇧🇷Aveiro↻Seasons flipped. Pará, Brazil

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,931 mm rain

    Shares 19 of your 19 great-fit crops

    89%match
  16. 16

    🇧🇷Placas↻Seasons flipped. Pará, Brazil

    Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,819 mm rain

    Shares 19 of your 19 great-fit crops

    88%match
  17. 17

    🇵🇭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

    88%match
  18. 18

    🇧🇷Rurópolis↻Seasons flipped. Pará, Brazil

    Zone 13a · No frost · 0 chill hours · 78 in rainZone 13a · No frost · 0 chill hours · 1,972 mm rain

    Shares 19 of your 19 great-fit crops

    88%match
  19. 19

    🇮🇩Serang↻Seasons flipped. Banten, Indonesia

    Zone 13b · No frost · 0 chill hours · 71 in rainZone 13b · No frost · 0 chill hours · 1,812 mm rain

    Shares 18 of your 19 great-fit crops

    88%match
  20. 20

    🇧🇷Uruará↻Seasons flipped. Pará, Brazil

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,676 mm rain

    Shares 19 of your 19 great-fit crops

    88%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 Indang: 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.