Climatch

Land with a climate like Manggar

🇮🇩Manggar, Bangka–Belitung Islands, Indonesia

The towns with the closest growing climate to Manggar are Pangkalpinang, Indonesia (99% match), Palembang and Muntok. About 2.2 million sq mi of land in 54 countries matches 80% or better, most of it in Amazonas, Brazil, Central Kalimantan, Indonesia and Sabah, Malaysia.The towns with the closest growing climate to Manggar are Pangkalpinang, Indonesia (99% match), Palembang and Muntok. About 5.6 million km² of land in 54 countries matches 80% or better, most of it in Amazonas, Brazil, Central Kalimantan, Indonesia and Sabah, Malaysia.

Your growing climate

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

What grows in Manggar →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    148k sq mi383k km² matching 80% or better

    For example Novo Airão (92), Anori (90)

  2. 2

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Pangkalanbuun (99), Sampit (99)

  3. 3

    🇲🇾Sabah, Malaysia

    27k sq mi69k km² matching 80% or better

    For example Papar (98), Donggongon (98)

  4. 4

    🇮🇩West Kalimantan, Indonesia

    22k sq mi57k km² matching 80% or better

    For example Manismata (99), Pontianak (93)

  5. 5

    🇧🇷Pará, Brazil

    22k sq mi56k km² matching 80% or better

    For example Belém (87), Ananindeua (86)

  6. 6

    🇮🇩Jambi, Indonesia

    22k sq mi56k km² matching 80% or better

    For example Simpang (99), Jambi City (98)

  7. 7

    🇵🇭Mimaropa, Philippines

    18k sq mi46k km² matching 80% or better

    For example Mapun (93), Romblon (90)

  8. 8

    🇨🇴Antioquia, Colombia

    17k sq mi45k km² matching 80% or better

    For example Carepa (98), Apartadó (97)

  9. 9

    🇲🇾Sarawak, Malaysia

    17k sq mi43k km² matching 80% or better

    For example Miri (93), Marudi (92)

  10. 10

    🇵🇭Western Visayas, Philippines

    15k sq mi39k km² matching 80% or better

    For example Roxas City (95), Passi (94)

  11. 11

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi39k km² matching 80% or better

    For example Parang (96), Cotabato (96)

  12. 12

    🇻🇪Bolívar, Venezuela

    14k sq mi35k km² matching 80% or better

    For example El Dorado (84), Tumeremo (81)

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

    🇮🇩PangkalpinangBangka–Belitung Islands, Indonesia

    Zone 13b · No frost · 0 chill hours · 114 in rainZone 13b · No frost · 0 chill hours · 2,894 mm rain

    Shares 15 of your 18 great-fit crops

    99%match
  2. 2

    🇮🇩PalembangSouth Sumatra, Indonesia

    Zone 13b · No frost · 0 chill hours · 104 in rainZone 13b · No frost · 0 chill hours · 2,651 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  3. 3

    🇮🇩MuntokBangka–Belitung Islands, Indonesia

    Zone 13b · No frost · 0 chill hours · 109 in rainZone 13b · No frost · 0 chill hours · 2,767 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  4. 4

    🇮🇩ManismataWest Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 113 in rainZone 13b · No frost · 0 chill hours · 2,874 mm rain

    Shares 15 of your 18 great-fit crops

    99%match
  5. 5

    🇮🇩SimpangJambi, Indonesia

    Zone 13b · No frost · 0 chill hours · 103 in rainZone 13b · No frost · 0 chill hours · 2,625 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  6. 6

    🇮🇩PangkalanbuunCentral Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 110 in rainZone 13b · No frost · 0 chill hours · 2,786 mm rain

    Shares 15 of your 18 great-fit crops

    99%match
  7. 7

    🇮🇩PrabumulihSouth Sumatra, Indonesia

    Zone 13b · No frost · 0 chill hours · 113 in rainZone 13b · No frost · 0 chill hours · 2,882 mm rain

    Shares 15 of your 18 great-fit crops

    99%match
  8. 8

    🇮🇩SampitCentral Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 107 in rainZone 13b · No frost · 0 chill hours · 2,727 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  9. 9

    🇮🇩BaturajaSouth Sumatra, Indonesia

    Zone 13b · No frost · 0 chill hours · 108 in rainZone 13b · No frost · 0 chill hours · 2,735 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  10. 10

    🇮🇩KualakapuasCentral Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 96 in rainZone 13b · No frost · 0 chill hours · 2,435 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  11. 11

    🇮🇩BalikpapanEast Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 108 in rainZone 13b · No frost · 0 chill hours · 2,741 mm rain

    Shares 15 of your 18 great-fit crops

    98%match
  12. 12

    🇮🇩Jambi CityJambi, Indonesia

    Zone 13b · No frost · 0 chill hours · 107 in rainZone 13b · No frost · 0 chill hours · 2,714 mm rain

    Shares 16 of your 18 great-fit crops

    98%match
  13. 13

    🇮🇩PolewaliWest Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,041 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  14. 14

    🇮🇩Bandar LampungLampung, Indonesia

    Zone 13b · No frost · 0 chill hours · 84 in rainZone 13b · No frost · 0 chill hours · 2,134 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  15. 15

    🇮🇩MendahaJambi, Indonesia

    Zone 13b · No frost · 0 chill hours · 100 in rainZone 13b · No frost · 0 chill hours · 2,538 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  16. 16

    🇲🇾Kota Kinabalu↻Seasons flipped. Sabah, Malaysia

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,465 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  17. 17

    🇨🇴Apartadó↻Seasons flipped. Antioquia, Colombia

    Zone 13b · No frost · 0 chill hours · 90 in rainZone 13b · No frost · 0 chill hours · 2,282 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  18. 18

    🇮🇩Terbanggi BesarLampung, Indonesia

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,372 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  19. 19

    🇮🇩BanjarmasinSouth Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 104 in rainZone 13b · No frost · 0 chill hours · 2,646 mm rain

    Shares 16 of your 18 great-fit crops

    97%match
  20. 20

    🇮🇩PalangkarayaCentral Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,527 mm rain

    Shares 17 of your 18 great-fit crops

    97%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 Manggar: 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.