Climatch

Land with a climate like Kotamobagu

🇮🇩Kotamobagu, North Sulawesi, Indonesia

The towns with the closest growing climate to Kotamobagu are Bandar Nabawan, Malaysia (98% match), Keningau and Tobelo. About 1.9 million sq mi of land in 30 countries matches 80% or better, most of it in Sarawak, Malaysia, Sabah, Malaysia and Central Kalimantan, Indonesia.The towns with the closest growing climate to Kotamobagu are Bandar Nabawan, Malaysia (98% match), Keningau and Tobelo. About 4.9 million km² of land in 30 countries matches 80% or better, most of it in Sarawak, Malaysia, Sabah, Malaysia and Central Kalimantan, Indonesia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 87 in rainZone 13a · No frost · 0 chill hours · 2,203 mm rain

What grows in Kotamobagu →

Regions with the most land like yours

  1. 1

    🇲🇾Sarawak, Malaysia

    43k sq mi111k km² matching 80% or better

    For example Marudi (90), Beluru (90)

  2. 2

    🇲🇾Sabah, Malaysia

    31k sq mi79k km² matching 80% or better

    For example Bandar Nabawan (98), Keningau (98)

  3. 3

    🇮🇩Central Kalimantan, Indonesia

    25k sq mi65k km² matching 80% or better

    For example Pangkalanbuun (88), Sampit (86)

  4. 4

    🇮🇩West Kalimantan, Indonesia

    25k sq mi64k km² matching 80% or better

    For example Bengkayang (90), Manismata (89)

  5. 5

    🇮🇩Jambi, Indonesia

    23k sq mi59k km² matching 80% or better

    For example Muara Bungo (88), Simpang (86)

  6. 6

    🇧🇷Amazonas, Brazil

    20k sq mi51k km² matching 80% or better

    For example Santa Isabel do Rio Negro (84), São Gabriel da Cachoeira (82)

  7. 7

    🇨🇩Tshopo, Democratic Republic of the Congo

    17k sq mi45k km² matching 80% or better

    For example Basoko (84), Kisangani (84)

  8. 8

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi39k km² matching 80% or better

    For example Sitangkai (91), Bongao (90)

  9. 9

    🇨🇩Équateur, Democratic Republic of the Congo

    13k sq mi33k km² matching 80% or better

    For example Mbandaka (86), Bolenge (85)

  10. 10

    🇬🇫Guyane, French Guiana

    12k sq mi32k km² matching 80% or better

    For example Saint-Laurent-du-Maroni (92), Rémire-Montjoly (89)

  11. 11

    🇲🇾Johor, Malaysia

    12k sq mi31k km² matching 80% or better

    For example Kampung Selang (87), Pagoh (86)

  12. 12

    🇧🇷Amapá, Brazil

    11k sq mi28k km² matching 80% or better

    For example Oiapoque (84), Pedra Branca do Amapari (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

    🇲🇾Bandar NabawanSabah, Malaysia

    Zone 13a · No frost · 0 chill hours · 83 in rainZone 13a · No frost · 0 chill hours · 2,108 mm rain

    Shares 19 of your 19 great-fit crops

    98%match
  2. 2

    🇲🇾KeningauSabah, Malaysia

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

    Shares 19 of your 19 great-fit crops

    98%match
  3. 3

    🇮🇩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 19 great-fit crops

    98%match
  4. 4

    🇮🇩ManadoNorth Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 126 in rainZone 13b · No frost · 0 chill hours · 3,205 mm rain

    Shares 14 of your 19 great-fit crops

    97%match
  5. 5

    🇮🇩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 19 great-fit crops

    97%match
  6. 6

    🇮🇩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 19 great-fit crops

    97%match
  7. 7

    🇮🇩TahunaNorth Sulawesi, Indonesia

    Zone 13a · No frost · 0 chill hours · 106 in rainZone 13a · No frost · 0 chill hours · 2,693 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  8. 8

    🇮🇩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 19 great-fit crops

    96%match
  9. 9

    🇮🇩GorontaloIndonesia

    Zone 13b · No frost · 0 chill hours · 58 in rainZone 13b · No frost · 0 chill hours · 1,465 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: fig

    96%match
  10. 10

    🇨🇩Boende↻Seasons flipped. Tshuapa, Democratic Republic of the Congo

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,675 mm rain

    Shares 19 of your 19 great-fit crops

    94%match
  11. 11

    🇲🇾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 19 great-fit crops

    94%match
  12. 12

    🇲🇾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 19 great-fit crops

    93%match
  13. 13

    🇬🇾LindenUpper Demerara-Berbice, Guyana

    Zone 13a · No frost · 0 chill hours · 96 in rainZone 13a · No frost · 0 chill hours · 2,443 mm rain

    Shares 19 of your 19 great-fit crops

    93%match
  14. 14

    🇻🇪La FríaTáchira, Venezuela

    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

    93%match
  15. 15

    🇵🇭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 19 great-fit crops

    93%match
  16. 16

    🇲🇾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 19 great-fit crops

    92%match
  17. 17

    🇵🇭KidapawanSoccsksargen, Philippines

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,189 mm rain

    Shares 19 of your 19 great-fit crops

    92%match
  18. 18

    🇸🇷ParamariboParamaribo District, Suriname

    Zone 13b · No frost · 0 chill hours · 81 in rainZone 13b · No frost · 0 chill hours · 2,054 mm rain

    Shares 18 of your 19 great-fit crops

    92%match
  19. 19

    🇬🇫Saint-Laurent-du-MaroniGuyane, French Guiana

    Zone 13b · No frost · 0 chill hours · 87 in rainZone 13b · No frost · 0 chill hours · 2,214 mm rain

    Shares 18 of your 19 great-fit crops

    92%match
  20. 20

    🇵🇬Kokopo↻Seasons flipped. East New Britain Province, Papua New Guinea

    Zone 13b · No frost · 0 chill hours · 100 in rainZone 13b · No frost · 0 chill hours · 2,549 mm rain

    Shares 18 of your 19 great-fit crops

    91%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 Kotamobagu: 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.