Climatch

Land with a climate like Mendez-Nuñez

🇵🇭Mendez-Nuñez, Calabarzon, Philippines

The towns with the closest growing climate to Mendez-Nuñez are Rodriguez, Philippines (97% match), Canlaon and Genteng. About 427,000 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 Mendez-Nuñez are Rodriguez, Philippines (97% match), Canlaon and Genteng. About 1.1 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 · 98 in rainZone 13a · No frost · 0 chill hours · 2,478 mm rain

What grows in Mendez-Nuñez →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    88k sq mi228k km² matching 80% or better

    For example Rurópolis (86), Belterra (85)

  2. 2

    🇧🇷Amazonas, Brazil

    38k sq mi97k km² matching 80% or better

    For example Manacapuru (83), Iranduba (83)

  3. 3

    🇵🇭Mimaropa, Philippines

    23k sq mi61k km² matching 80% or better

    For example El Nido (90), Sablayan (89)

  4. 4

    🇧🇷Acre, Brazil

    15k sq mi40k km² matching 80% or better

    For example Cruzeiro do Sul (81), Mâncio Lima (81)

  5. 5

    🇵🇭Calabarzon, Philippines

    11k sq mi29k km² matching 80% or better

    For example Rodriguez (97), Mauban (84)

  6. 6

    🇮🇩East Java, Indonesia

    11k sq mi28k km² matching 80% or better

    For example Genteng (90), Singojuruh (90)

  7. 7

    🇵🇭Western Visayas, Philippines

    10,000 sq mi26k km² matching 80% or better

    For example Asia (91), Sipalay (87)

  8. 8

    🇮🇩Central Java, Indonesia

    8,600 sq mi22k km² matching 80% or better

    For example Ungaran (89), Ambarawa (87)

  9. 9

    🇻🇪Bolívar, Venezuela

    7,400 sq mi19k km² matching 80% or better

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

  10. 10

    🇮🇩Lampung, Indonesia

    6,800 sq mi18k km² matching 80% or better

    For example Metro (83), Bandar Lampung (82)

  11. 11

    🇵🇪Madre de Dios, Peru

    5,300 sq mi14k km² matching 80% or better

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

  12. 12

    🇮🇳Andaman and Nicobar, India

    4,700 sq mi12k km² matching 80% or better

    For example Rangat (83), Port Blair (82)

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

    🇵🇭RodriguezCalabarzon, Philippines

    Zone 13a · No frost · 0 chill hours · 110 in rainZone 13a · No frost · 0 chill hours · 2,802 mm rain

    Shares 17 of your 20 great-fit crops

    97%match
  2. 2

    🇵🇭CanlaonCentral Visayas, Philippines

    Zone 13a · No frost · 0 chill hours · 100 in rainZone 13a · No frost · 0 chill hours · 2,542 mm rain

    Shares 19 of your 20 great-fit crops

    92%match
  3. 3

    🇮🇩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 20 of your 20 great-fit crops

    90%match
  4. 4

    🇵🇭LagaweCordillera, Philippines

    Zone 12a · No frost · 0 chill hours · 103 in rainZone 12a · No frost · 0 chill hours · 2,605 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: canola (rapeseed), barley, potato

    90%match
  5. 5

    🇵🇭BambangCagayan Valley, Philippines

    Zone 12b · No frost · 0 chill hours · 70 in rainZone 12b · No frost · 0 chill hours · 1,782 mm rain

    Shares 20 of your 20 great-fit crops

    90%match
  6. 6

    🇵🇭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 20 great-fit crops

    90%match
  7. 7

    🇵🇭TabukCordillera, Philippines

    Zone 12b · No frost · 0 chill hours · 87 in rainZone 12b · No frost · 0 chill hours · 2,212 mm rain

    Shares 20 of your 20 great-fit crops

    90%match
  8. 8

    🇵🇭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 20 great-fit crops

    89%match
  9. 9

    🇮🇩Kuningan↻Seasons flipped. West Java, Indonesia

    Zone 12b · No frost · 0 chill hours · 110 in rainZone 12b · No frost · 0 chill hours · 2,800 mm rain

    Shares 18 of your 20 great-fit crops

    88%match
  10. 10

    🇵🇭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 20 great-fit crops

    88%match
  11. 11

    🇵🇭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 20 great-fit crops

    88%match
  12. 12

    🇮🇩Muntilan↻Seasons flipped. Central Java, Indonesia

    Zone 12b · No frost · 0 chill hours · 112 in rainZone 12b · No frost · 0 chill hours · 2,852 mm rain

    Shares 18 of your 20 great-fit crops

    87%match
  13. 13

    🇮🇩Salatiga↻Seasons flipped. Central Java, Indonesia

    Zone 12b · No frost · 0 chill hours · 96 in rainZone 12b · No frost · 0 chill hours · 2,435 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: coffee (arabica)

    87%match
  14. 14

    🇵🇭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 20 great-fit crops

    87%match
  15. 15

    🇵🇭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 20 great-fit crops

    87%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 20 great-fit crops

    87%match
  17. 17

    🇵🇭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 20 great-fit crops

    86%match
  18. 18

    🇮🇩Sumedang↻Seasons flipped. West Java, Indonesia

    Zone 12b · No frost · 0 chill hours · 95 in rainZone 12b · No frost · 0 chill hours · 2,413 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: coffee (arabica), canola (rapeseed)

    86%match
  19. 19

    🇧🇷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 20 great-fit crops

    86%match
  20. 20

    🇵🇭Lake SebuSoccsksargen, Philippines

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,925 mm rain

    Shares 19 of your 20 great-fit crops

    85%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 Mendez-Nuñez: 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.