Climatch

Land with a climate like Malita

🇵🇭Malita, Davao Region, Philippines

The towns with the closest growing climate to Malita are Mati, Philippines (99% match), Glan and Bongao. About 2.1 million sq mi of land in 33 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Sabah, Malaysia.The towns with the closest growing climate to Malita are Mati, Philippines (99% match), Glan and Bongao. About 5.5 million km² of land in 33 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Sabah, Malaysia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 69 in rainZone 13b · No frost · 0 chill hours · 1,751 mm rain

What grows in Malita →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    122k sq mi315k km² matching 80% or better

    For example Santa Isabel do Rio Negro (94), Barcelos (92)

  2. 2

    🇲🇾Sarawak, Malaysia

    43k sq mi111k km² matching 80% or better

    For example Miri (93), Niah (92)

  3. 3

    🇲🇾Sabah, Malaysia

    29k sq mi76k km² matching 80% or better

    For example Lahad Datu (99), Semporna (99)

  4. 4

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Pangkalanbuun (92), Sampit (88)

  5. 5

    🇵🇪Loreto, Peru

    25k sq mi66k km² matching 80% or better

    For example Contamana (89), Requena (87)

  6. 6

    🇮🇩West Kalimantan, Indonesia

    25k sq mi64k km² matching 80% or better

    For example Sungai Raya (94), Pemangkat (93)

  7. 7

    🇮🇩Jambi, Indonesia

    22k sq mi56k km² matching 80% or better

    For example Kuala Tungkal (93), Mendaha (92)

  8. 8

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi39k km² matching 80% or better

    For example Bongao (99), Sitangkai (99)

  9. 9

    🇵🇭Bicol Region, Philippines

    14k sq mi37k km² matching 80% or better

    For example Esperanza (92), Masbate (92)

  10. 10

    🇵🇭Central Visayas, Philippines

    14k sq mi35k km² matching 80% or better

    For example Loboc (97), Jagna (97)

  11. 11

    🇨🇩Tshopo, Democratic Republic of the Congo

    13k sq mi35k km² matching 80% or better

    For example Kisangani (84), Basoko (84)

  12. 12

    🇲🇾Johor, Malaysia

    13k sq mi35k km² matching 80% or better

    For example Taman Pelangi (97), Gerisek (97)

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

    🇵🇭MatiDavao Region, Philippines

    Zone 13b · No frost · 0 chill hours · 76 in rainZone 13b · No frost · 0 chill hours · 1,939 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  2. 2

    🇵🇭GlanSoccsksargen, Philippines

    Zone 13b · No frost · 0 chill hours · 51 in rainZone 13b · No frost · 0 chill hours · 1,305 mm rain

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

    99%match
  3. 3

    🇵🇭BongaoAutonomous Region in Muslim Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 62 in rainZone 13b · No frost · 0 chill hours · 1,577 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  4. 4

    🇲🇾Lahad DatuSabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 79 in rainZone 13b · No frost · 0 chill hours · 1,996 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  5. 5

    🇲🇾SempornaSabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,946 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  6. 6

    🇮🇩DarubaNorth Maluku, Indonesia

    Zone 13b · No frost · 0 chill hours · 81 in rainZone 13b · No frost · 0 chill hours · 2,055 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  7. 7

    🇵🇭SitangkaiAutonomous Region in Muslim Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 65 in rainZone 13b · No frost · 0 chill hours · 1,654 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  8. 8

    🇵🇭JoloAutonomous Region in Muslim Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 70 in rainZone 13b · No frost · 0 chill hours · 1,776 mm rain

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

    99%match
  9. 9

    🇮🇩TobeloNorth Maluku, Indonesia

    Zone 13b · No frost · 0 chill hours · 82 in rainZone 13b · No frost · 0 chill hours · 2,084 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  10. 10

    🇵🇭ManayDavao Region, Philippines

    Zone 13b · No frost · 0 chill hours · 104 in rainZone 13b · No frost · 0 chill hours · 2,635 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  11. 11

    🇵🇬Wewak↻Seasons flipped. East Sepik Province, Papua New Guinea

    Zone 13a · No frost · 0 chill hours · 94 in rainZone 13a · No frost · 0 chill hours · 2,393 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  12. 12

    🇮🇩TernateNorth Maluku, Indonesia

    Zone 13b · No frost · 0 chill hours · 89 in rainZone 13b · No frost · 0 chill hours · 2,252 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  13. 13

    🇵🇭JagnaCentral Visayas, Philippines

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,032 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  14. 14

    🇲🇾TawauSabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 85 in rainZone 13b · No frost · 0 chill hours · 2,156 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  15. 15

    🇵🇭Magugpo PoblacionDavao Region, Philippines

    Zone 13b · No frost · 0 chill hours · 107 in rainZone 13b · No frost · 0 chill hours · 2,712 mm rain

    Shares 16 of your 18 great-fit crops

    97%match
  16. 16

    🇵🇭BugoNorthern Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,039 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  17. 17

    🇮🇩BireunAceh, Indonesia

    Zone 13b · No frost · 0 chill hours · 66 in rainZone 13b · No frost · 0 chill hours · 1,666 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  18. 18

    🇵🇭GingoogNorthern Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 107 in rainZone 13b · No frost · 0 chill hours · 2,709 mm rain

    Shares 16 of your 18 great-fit crops

    96%match
  19. 19

    🇵🇭MapunMimaropa, Philippines

    Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,104 mm rain

    Shares 18 of your 18 great-fit crops

    96%match
  20. 20

    🇲🇾RompinNegeri Sembilan, Malaysia

    Zone 13b · No frost · 0 chill hours · 89 in rainZone 13b · No frost · 0 chill hours · 2,268 mm rain

    Shares 18 of your 18 great-fit crops

    96%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 Malita: 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.