Climatch

Land with a climate like Belawan

🇮🇩Belawan, North Sumatra, Indonesia

The towns with the closest growing climate to Belawan are Tanjungbalai, Indonesia (99% match), Pekan Bahapal and Langsa. About 2.6 million sq mi of land in 39 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Pará, Brazil.The towns with the closest growing climate to Belawan are Tanjungbalai, Indonesia (99% match), Pekan Bahapal and Langsa. About 6.7 million km² of land in 39 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Pará, Brazil.

Your growing climate

Zone 13a · No frost · 0 chill hours · 98 in rainZone 13a · No frost · 0 chill hours · 2,500 mm rain

What grows in Belawan →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    180k sq mi467k km² matching 80% or better

    For example Barcelos (99), Santa Isabel do Rio Negro (99)

  2. 2

    🇲🇾Sarawak, Malaysia

    49k sq mi126k km² matching 80% or better

    For example Bintulu (96), Maradong (96)

  3. 3

    🇧🇷Pará, Brazil

    45k sq mi115k km² matching 80% or better

    For example Breves (87), Ananindeua (87)

  4. 4

    🇲🇾Sabah, Malaysia

    30k sq mi78k km² matching 80% or better

    For example Tawau (96), Sandakan (94)

  5. 5

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Pangkalanbuun (95), Sampit (90)

  6. 6

    🇮🇩North Sumatra, Indonesia

    25k sq mi66k km² matching 80% or better

    For example Teluk Nibung (99), Tanjungbalai (99)

  7. 7

    🇵🇪Loreto, Peru

    25k sq mi66k km² matching 80% or better

    For example Requena (94), Iquitos (93)

  8. 8

    🇮🇩West Kalimantan, Indonesia

    25k sq mi65k km² matching 80% or better

    For example Sungai Raya (98), Singkawang (96)

  9. 9

    🇵🇭Bicol Region, Philippines

    18k sq mi46k km² matching 80% or better

    For example Esperanza (96), Buhi (96)

  10. 10

    🇵🇭Eastern Visayas, Philippines

    16k sq mi40k km² matching 80% or better

    For example Maasin (95), Ormoc (95)

  11. 11

    🇵🇭Mimaropa, Philippines

    15k sq mi40k km² matching 80% or better

    For example Mapun (95), Calapan (93)

  12. 12

    🇲🇾Johor, Malaysia

    13k sq mi35k km² matching 80% or better

    For example Kampung Minyak Beku (99), Muar (99)

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

    🇮🇩TanjungbalaiNorth Sumatra, Indonesia

    Zone 13b · No frost · 0 chill hours · 85 in rainZone 13b · No frost · 0 chill hours · 2,159 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  2. 2

    🇮🇩Pekan BahapalNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 110 in rainZone 13a · No frost · 0 chill hours · 2,803 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  3. 3

    🇮🇩LangsaAceh, Indonesia

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,351 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  4. 4

    🇮🇩Tanjung BalaiRiau Islands, Indonesia

    Zone 13b · No frost · 0 chill hours · 95 in rainZone 13b · No frost · 0 chill hours · 2,403 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  5. 5

    🇲🇾Kuala LipisPahang, Malaysia

    Zone 13a · No frost · 0 chill hours · 108 in rainZone 13a · No frost · 0 chill hours · 2,751 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  6. 6

    🇧🇷Barcelos↻Seasons flipped. Amazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 95 in rainZone 13a · No frost · 0 chill hours · 2,402 mm rain

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

    99%match
  7. 7

    🇲🇾Gua MusangKelantan, Malaysia

    Zone 13a · No frost · 0 chill hours · 105 in rainZone 13a · No frost · 0 chill hours · 2,670 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: strawberry

    99%match
  8. 8

    🇲🇾MuarJohor, Malaysia

    Zone 13b · No frost · 0 chill hours · 101 in rainZone 13b · No frost · 0 chill hours · 2,561 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  9. 9

    🇲🇾TemerluhPahang, Malaysia

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,485 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  10. 10

    🇲🇾Iskandar PuteriJohor, Malaysia

    Zone 13b · No frost · 0 chill hours · 103 in rainZone 13b · No frost · 0 chill hours · 2,612 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  11. 11

    🇮🇩RantauprapatNorth Sumatra, Indonesia

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

    Shares 17 of your 18 great-fit crops

    99%match
  12. 12

    🇧🇷Santa Isabel do Rio Negro↻Seasons flipped. Amazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 99 in rainZone 13a · No frost · 0 chill hours · 2,516 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  13. 13

    🇲🇾SepangSelangor, Malaysia

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,463 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  14. 14

    🇲🇾Batu PahatJohor, Malaysia

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,507 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  15. 15

    🇲🇾MalaccaMelaka, Malaysia

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,364 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  16. 16

    🇮🇩GunungsitoliNorth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 139 in rainZone 13a · No frost · 0 chill hours · 3,518 mm rain

    Shares 11 of your 18 great-fit crops

    98%match
  17. 17

    🇮🇩BlangpidieAceh, Indonesia

    Zone 13a · No frost · 0 chill hours · 134 in rainZone 13a · No frost · 0 chill hours · 3,412 mm rain

    Shares 12 of your 18 great-fit crops

    98%match
  18. 18

    🇲🇾MaranPahang, Malaysia

    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
  19. 19

    🇲🇾Paya TerubongPenang, Malaysia

    Zone 13b · No frost · 0 chill hours · 117 in rainZone 13b · No frost · 0 chill hours · 2,975 mm rain

    Shares 15 of your 18 great-fit crops

    98%match
  20. 20

    🇧🇷São Gabriel da Cachoeira↻Seasons flipped. Amazonas, Brazil

    Zone 13a · No frost · 0 chill hours · 112 in rainZone 13a · No frost · 0 chill hours · 2,851 mm rain

    Shares 16 of your 18 great-fit crops

    98%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 Belawan: 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.