Climatch

Land with a climate like Tarutung

🇮🇩Tarutung, North Sumatra, Indonesia

The towns with the closest growing climate to Tarutung are Sidikalang, Indonesia (99% match), Kabanjahe and Macas. About 173,000 sq mi of land in 13 countries matches 80% or better, most of it in North Sumatra, Indonesia, Aceh, Indonesia and Morobe Province, Papua New Guinea.The towns with the closest growing climate to Tarutung are Sidikalang, Indonesia (99% match), Kabanjahe and Macas. About 448,000 km² of land in 13 countries matches 80% or better, most of it in North Sumatra, Indonesia, Aceh, Indonesia and Morobe Province, Papua New Guinea.

Your growing climate

Zone 12b · No frost · 0 chill hours · 100 in rainZone 12b · No frost · 0 chill hours · 2,549 mm rain

What grows in Tarutung →

Regions with the most land like yours

  1. 1

    🇮🇩North Sumatra, Indonesia

    13k sq mi33k km² matching 80% or better

    For example Paropo (99), Sidikalang (99)

  2. 2

    🇮🇩Aceh, Indonesia

    9,200 sq mi24k km² matching 80% or better

  3. 3

    🇵🇬Morobe Province, Papua New Guinea

    4,500 sq mi12k km² matching 80% or better

    For example Bulolo (76)

  4. 4

    🇮🇩West Sumatra, Indonesia

    4,200 sq mi11k km² matching 80% or better

    For example Bukittinggi (90), Padangpanjang (90)

  5. 5

    🇨🇴Huila Department, Colombia

    3,300 sq mi8,500 km² matching 80% or better

    For example Pitalito (86), La Plata (84)

  6. 6

    🇨🇴Cauca Department, Colombia

    3,300 sq mi8,500 km² matching 80% or better

    For example Suárez (85), Morales (84)

  7. 7

    🇨🇴Valle del Cauca Department, Colombia

    3,300 sq mi8,500 km² matching 80% or better

    For example Darien (84), Sevilla (84)

  8. 8

    🇪🇨Morona-Santiago Province, Ecuador

    3,000 sq mi7,700 km² matching 80% or better

    For example Macas (99)

  9. 9

    🇪🇨Pastaza Province, Ecuador

    2,700 sq mi7,000 km² matching 80% or better

    For example Puyo (88)

  10. 10

    🇲🇾Perak, Malaysia

    2,700 sq mi6,900 km² matching 80% or better

  11. 11

    🇪🇨Napo, Ecuador

    2,100 sq mi5,400 km² matching 80% or better

    For example Tena (87)

  12. 12

    🇲🇾Sarawak, Malaysia

    1,800 sq mi4,600 km² matching 80% or better

    For example Pakan (51)

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

    🇮🇩SidikalangNorth Sumatra, Indonesia

    Zone 12a · No frost · 0 chill hours · 107 in rainZone 12a · No frost · 0 chill hours · 2,727 mm rain

    Shares 21 of your 24 great-fit crops

    99%match
  2. 2

    🇮🇩KabanjaheNorth Sumatra, Indonesia

    Zone 12a · No frost · 0 chill hours · 106 in rainZone 12a · No frost · 0 chill hours · 2,692 mm rain

    Shares 21 of your 24 great-fit crops

    99%match
  3. 3

    🇪🇨Macas↻Seasons flipped. Morona-Santiago Province, Ecuador

    Zone 12a · No frost · 0 chill hours · 99 in rainZone 12a · No frost · 0 chill hours · 2,513 mm rain

    Shares 23 of your 24 great-fit crops

    99%match
  4. 4

    🇮🇩Bukittinggi↻Seasons flipped. West Sumatra, Indonesia

    Zone 12b · No frost · 0 chill hours · 102 in rainZone 12b · No frost · 0 chill hours · 2,593 mm rain

    Shares 24 of your 24 great-fit crops

    90%match
  5. 5

    🇵🇭LambayongSoccsksargen, Philippines

    Zone 12b · No frost · 0 chill hours · 92 in rainZone 12b · No frost · 0 chill hours · 2,343 mm rain

    Shares 23 of your 24 great-fit crops

    90%match
  6. 6

    🇮🇩TondanoNorth Sulawesi, Indonesia

    Zone 12b · No frost · 0 chill hours · 93 in rainZone 12b · No frost · 0 chill hours · 2,355 mm rain

    Shares 23 of your 24 great-fit crops

    89%match
  7. 7

    🇪🇨Puyo↻Seasons flipped. Pastaza Province, Ecuador

    Zone 12a · No frost · 0 chill hours · 171 in rainZone 12a · No frost · 0 chill hours · 4,356 mm rain

    Shares 4 of your 24 great-fit crops

    88%match
  8. 8

    🇪🇨Tena↻Seasons flipped. Napo, Ecuador

    Zone 12b · No frost · 0 chill hours · 170 in rainZone 12b · No frost · 0 chill hours · 4,318 mm rain

    Shares 4 of your 24 great-fit crops

    87%match
  9. 9

    🇨🇴PitalitoHuila Department, Colombia

    Zone 12a · No frost · 0 chill hours · 67 in rainZone 12a · No frost · 0 chill hours · 1,708 mm rain

    Shares 23 of your 24 great-fit crops

    86%match
  10. 10

    🇮🇩Sungai Penuh↻Seasons flipped. Jambi, Indonesia

    Zone 12b · No frost · 0 chill hours · 94 in rainZone 12b · No frost · 0 chill hours · 2,381 mm rain

    Shares 24 of your 24 great-fit crops

    85%match
  11. 11

    🇨🇴PereiraRisaralda Department, Colombia

    Zone 12a · No frost · 0 chill hours · 93 in rainZone 12a · No frost · 0 chill hours · 2,359 mm rain

    Shares 23 of your 24 great-fit crops

    85%match
  12. 12

    🇨🇴DarienValle del Cauca Department, Colombia

    Zone 12a · No frost · 0 chill hours · 66 in rainZone 12a · No frost · 0 chill hours · 1,671 mm rain

    Shares 19 of your 24 great-fit crops

    84%match
  13. 13

    🇨🇴SevillaValle del Cauca Department, Colombia

    Zone 12a · No frost · 0 chill hours · 69 in rainZone 12a · No frost · 0 chill hours · 1,765 mm rain

    Shares 23 of your 24 great-fit crops

    84%match
  14. 14

    🇨🇴MoralesCauca Department, Colombia

    Zone 12a · No frost · 0 chill hours · 86 in rainZone 12a · No frost · 0 chill hours · 2,197 mm rain

    Shares 19 of your 24 great-fit crops

    84%match
  15. 15

    🇮🇩Pagar Alam↻Seasons flipped. South Sumatra, Indonesia

    Zone 12b · No frost · 0 chill hours · 117 in rainZone 12b · No frost · 0 chill hours · 2,980 mm rain

    Shares 20 of your 24 great-fit crops

    83%match
  16. 16

    🇮🇩PadangsidempuanNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 105 in rainZone 13a · No frost · 0 chill hours · 2,661 mm rain

    Shares 18 of your 24 great-fit crops

    82%match
  17. 17

    🇨🇴Belén de UmbríaRisaralda Department, Colombia

    Zone 12a · No frost · 0 chill hours · 86 in rainZone 12a · No frost · 0 chill hours · 2,175 mm rain

    Shares 21 of your 24 great-fit crops

    82%match
  18. 18

    🇵🇪Moyobamba↻Seasons flipped. San Martín Department, Peru

    Zone 12b · No frost · 0 chill hours · 63 in rainZone 12b · No frost · 0 chill hours · 1,608 mm rain

    Shares 22 of your 24 great-fit crops

    79%match
  19. 19

    🇨🇴SilvaniaCundinamarca, Colombia

    Zone 12a · No frost · 0 chill hours · 69 in rainZone 12a · No frost · 0 chill hours · 1,744 mm rain

    Shares 20 of your 24 great-fit crops

    78%match
  20. 20

    🇵🇭BontocCordillera, Philippines

    Zone 12a · No frost · 0 chill hours · 126 in rainZone 12a · No frost · 0 chill hours · 3,206 mm rain

    Shares 18 of your 24 great-fit crops

    78%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 Tarutung: 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.