Climatch

Land with a climate like Cileungsir

🇮🇩Cileungsir, West Java, Indonesia

The towns with the closest growing climate to Cileungsir are Rangkasbitung, Indonesia (99% match), Baturaja and Kualakapuas. About 2.2 million sq mi of land in 52 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Central Kalimantan, Indonesia.The towns with the closest growing climate to Cileungsir are Rangkasbitung, Indonesia (99% match), Baturaja and Kualakapuas. About 5.7 million km² of land in 52 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Central Kalimantan, Indonesia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,458 mm rain

What grows in Cileungsir →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    131k sq mi338k km² matching 80% or better

    For example Nova Olinda do Norte (92), Autazes (92)

  2. 2

    🇧🇷Pará, Brazil

    57k sq mi147k km² matching 80% or better

    For example Itaituba (90), Belém (90)

  3. 3

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Kualakapuas (99), Palangkaraya (99)

  4. 4

    🇻🇪Bolívar, Venezuela

    24k sq mi63k km² matching 80% or better

    For example La Paragua (92), El Dorado (90)

  5. 5

    🇮🇩Jambi, Indonesia

    22k sq mi57k km² matching 80% or better

    For example Jambi City (96), Simpang (94)

  6. 6

    🇧🇷Roraima, Brazil

    20k sq mi53k km² matching 80% or better

    For example Alto Alegre (89), Rorainópolis (81)

  7. 7

    🇮🇩South Sumatra, Indonesia

    20k sq mi53k km² matching 80% or better

    For example Baturaja (99), Prabumulih (99)

  8. 8

    🇵🇭Mimaropa, Philippines

    18k sq mi47k km² matching 80% or better

    For example Mansalay (85), Pinamalayan (85)

  9. 9

    🇲🇾Sabah, Malaysia

    18k sq mi46k km² matching 80% or better

    For example Donggongon (93), Kota Kinabalu (93)

  10. 10

    🇨🇴Antioquia, Colombia

    18k sq mi46k km² matching 80% or better

    For example Carepa (94), San Pedro de Urabá (94)

  11. 11

    🇵🇪Loreto, Peru

    15k sq mi38k km² matching 80% or better

    For example Yurimaguas (87), Contamana (84)

  12. 12

    🇵🇭Western Visayas, Philippines

    14k sq mi36k km² matching 80% or better

    For example Passi (90), Roxas City (89)

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

    🇮🇩RangkasbitungBanten, Indonesia

    Zone 13b · No frost · 0 chill hours · 92 in rainZone 13b · No frost · 0 chill hours · 2,325 mm rain

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

    99%match
  2. 2

    🇮🇩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
  3. 3

    🇮🇩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
  4. 4

    🇮🇩MetroLampung, Indonesia

    Zone 13b · No frost · 0 chill hours · 87 in rainZone 13b · No frost · 0 chill hours · 2,219 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  5. 5

    🇮🇩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
  6. 6

    🇮🇩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

    99%match
  7. 7

    🇮🇩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
  8. 8

    🇮🇩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

    99%match
  9. 9

    🇮🇩SubangWest Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 97 in rainZone 13a · No frost · 0 chill hours · 2,460 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  10. 10

    🇮🇩LahatSouth Sumatra, Indonesia

    Zone 13b · No frost · 0 chill hours · 126 in rainZone 13b · No frost · 0 chill hours · 3,194 mm rain

    Shares 14 of your 18 great-fit crops

    99%match
  11. 11

    🇮🇩ParepareSouth Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,023 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  12. 12

    🇮🇩CilegonBanten, Indonesia

    Zone 13b · No frost · 0 chill hours · 72 in rainZone 13b · No frost · 0 chill hours · 1,838 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  13. 13

    🇮🇩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

    98%match
  14. 14

    🇮🇩MajenangCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 107 in rainZone 13a · No frost · 0 chill hours · 2,717 mm rain

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

    98%match
  15. 15

    🇮🇩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
  16. 16

    🇮🇩PurwokertoCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 124 in rainZone 13a · No frost · 0 chill hours · 3,147 mm rain

    Shares 14 of your 18 great-fit crops · Also great there: strawberry

    98%match
  17. 17

    🇮🇩PekalonganCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 97 in rainZone 13a · No frost · 0 chill hours · 2,454 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  18. 18

    🇮🇩SemarangCentral Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 86 in rainZone 13b · No frost · 0 chill hours · 2,188 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  19. 19

    🇮🇩BarabaiSouth Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 108 in rainZone 13b · No frost · 0 chill hours · 2,749 mm rain

    Shares 15 of your 18 great-fit crops

    97%match
  20. 20

    🇮🇩PemalangCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 90 in rainZone 13a · No frost · 0 chill hours · 2,275 mm rain

    Shares 18 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 Cileungsir: 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.