Climatch

Land with a climate like Sitangkai

🇵🇭Sitangkai, Autonomous Region in Muslim Mindanao, Philippines

The towns with the closest growing climate to Sitangkai are Semporna, Malaysia (99% match), Lahad Datu and Jolo. About 1.8 million sq mi of land in 56 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Sabah, Malaysia.The towns with the closest growing climate to Sitangkai are Semporna, Malaysia (99% match), Lahad Datu and Jolo. About 4.6 million km² of land in 56 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 · 65 in rainZone 13b · No frost · 0 chill hours · 1,654 mm rain

What grows in Sitangkai →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    33k sq mi86k km² matching 80% or better

    For example Barcelos (87), Santa Isabel do Rio Negro (87)

  2. 2

    🇲🇾Sarawak, Malaysia

    31k sq mi81k km² matching 80% or better

    For example Miri (93), Niah (91)

  3. 3

    🇲🇾Sabah, Malaysia

    29k sq mi76k km² matching 80% or better

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

  4. 4

    🇮🇩Central Kalimantan, Indonesia

    24k sq mi61k km² matching 80% or better

    For example Pangkalanbuun (90), Sampit (85)

  5. 5

    🇮🇩Jambi, Indonesia

    21k sq mi55k km² matching 80% or better

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

  6. 6

    🇮🇩West Kalimantan, Indonesia

    21k sq mi54k km² matching 80% or better

    For example Sungai Raya (92), Pemangkat (90)

  7. 7

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi38k km² matching 80% or better

    For example Jolo (99), Maluso (96)

  8. 8

    🇲🇾Johor, Malaysia

    13k sq mi35k km² matching 80% or better

    For example Pengerang (94), Kampung Minyak Beku (94)

  9. 9

    🇵🇭Bicol Region, Philippines

    13k sq mi35k km² matching 80% or better

    For example Esperanza (92), Masbate (92)

  10. 10

    🇵🇭Central Visayas, Philippines

    13k sq mi34k km² matching 80% or better

    For example Jagna (95), Loboc (94)

  11. 11

    🇨🇩Équateur, Democratic Republic of the Congo

    12k sq mi32k km² matching 80% or better

    For example Mbandaka (88), Bolenge (87)

  12. 12

    🇧🇷Bahia, Brazil

    12k sq mi31k km² matching 80% or better

    For example Ilhéus (89), Jaguaripe (88)

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

    🇲🇾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
  2. 2

    🇲🇾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
  3. 3

    🇵🇭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
  4. 4

    🇵🇭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

    99%match
  5. 5

    🇲🇾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

    99%match
  6. 6

    🇵🇭MalitaDavao Region, Philippines

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

    Shares 18 of your 18 great-fit crops

    99%match
  7. 7

    🇮🇩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

    98%match
  8. 8

    🇮🇩Kawasi↻Seasons flipped. North Maluku, Indonesia

    Zone 13b · No frost · 0 chill hours · 66 in rainZone 13b · No frost · 0 chill hours · 1,667 mm rain

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

    98%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

    🇵🇭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

    98%match
  11. 11

    🇮🇩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
  12. 12

    🇮🇩Toli-ToliCentral Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 82 in rainZone 13b · No frost · 0 chill hours · 2,095 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  13. 13

    🇲🇾SandakanSabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,489 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  14. 14

    🇵🇭DigosDavao Region, Philippines

    Zone 13b · No frost · 0 chill hours · 69 in rainZone 13b · No frost · 0 chill hours · 1,755 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  15. 15

    🇵🇭MalapatanSoccsksargen, Philippines

    Zone 13b · No frost · 0 chill hours · 47 in rainZone 13b · No frost · 0 chill hours · 1,190 mm rain

    Shares 15 of your 18 great-fit crops · Also great there: fig

    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

    🇲🇾KudatSabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 91 in rainZone 13b · No frost · 0 chill hours · 2,305 mm rain

    Shares 18 of your 18 great-fit crops

    96%match
  18. 18

    🇮🇩Waisai↻Seasons flipped. Southwest Papua, Indonesia

    Zone 13b · No frost · 0 chill hours · 105 in rainZone 13b · No frost · 0 chill hours · 2,663 mm rain

    Shares 17 of your 18 great-fit crops

    96%match
  19. 19

    🇲🇾KeningauSabah, Malaysia

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,671 mm rain

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

    96%match
  20. 20

    🇰🇮TarawaGilbert Islands, Kiribati

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,950 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 Sitangkai: 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.