Climatch

Land with a climate like Kresek

🇮🇩Kresek, West Java, Indonesia

The towns with the closest growing climate to Kresek are Bandar Lampung, Indonesia (99% match), Terbanggi Besar and Pekalongan. About 2.4 million sq mi of land in 60 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Bolívar, Venezuela.The towns with the closest growing climate to Kresek are Bandar Lampung, Indonesia (99% match), Terbanggi Besar and Pekalongan. About 6.1 million km² of land in 60 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Bolívar, Venezuela.

Your growing climate

Zone 13b · No frost · 0 chill hours · 74 in rainZone 13b · No frost · 0 chill hours · 1,879 mm rain

What grows in Kresek →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    104k sq mi269k km² matching 80% or better

    For example Novo Airão (92), Careiro da Várzea (91)

  2. 2

    🇧🇷Pará, Brazil

    85k sq mi221k km² matching 80% or better

    For example Itaituba (91), Acará (90)

  3. 3

    🇻🇪Bolívar, Venezuela

    28k sq mi71k km² matching 80% or better

    For example El Dorado (93), La Paragua (93)

  4. 4

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Kualakapuas (98), Palangkaraya (95)

  5. 5

    🇵🇭Mimaropa, Philippines

    27k sq mi71k km² matching 80% or better

    For example Narra (92), Puerto Princesa (92)

  6. 6

    🇧🇷Roraima, Brazil

    25k sq mi64k km² matching 80% or better

    For example Alto Alegre (88), Caracaraí (83)

  7. 7

    🇲🇾Sabah, Malaysia

    21k sq mi55k km² matching 80% or better

    For example Donggongon (94), Kinarut (94)

  8. 8

    🇮🇩Jambi, Indonesia

    20k sq mi52k km² matching 80% or better

    For example Simpang (94), Mendaha (93)

  9. 9

    🇮🇩South Sumatra, Indonesia

    20k sq mi52k km² matching 80% or better

    For example Baturaja (97), Prabumulih (96)

  10. 10

    🇨🇴Antioquia, Colombia

    17k sq mi45k km² matching 80% or better

    For example San Pedro de Urabá (99), Turbo (96)

  11. 11

    🇨🇩Mongala, Democratic Republic of the Congo

    17k sq mi45k km² matching 80% or better

    For example Bumba (88), Lisala (85)

  12. 12

    🇨🇩Tshopo, Democratic Republic of the Congo

    17k sq mi44k km² matching 80% or better

    For example Basoko (90), Kisangani (84)

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 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

    99%match
  2. 2

    🇮🇩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

    99%match
  3. 3

    🇮🇩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

    99%match
  4. 4

    🇮🇩MajeneWest Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 72 in rainZone 13b · No frost · 0 chill hours · 1,819 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  5. 5

    🇮🇩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

    99%match
  6. 6

    🇮🇩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

    99%match
  7. 7

    🇮🇩KarawangWest Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 70 in rainZone 13b · No frost · 0 chill hours · 1,789 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  8. 8

    🇨🇴San Pedro de Urabá↻Seasons flipped. Antioquia, Colombia

    Zone 13b · No frost · 0 chill hours · 74 in rainZone 13b · No frost · 0 chill hours · 1,876 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  9. 9

    🇮🇩MranggenCentral Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 84 in rainZone 13b · No frost · 0 chill hours · 2,144 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  10. 10

    🇮🇩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

    98%match
  11. 11

    🇮🇩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

    98%match
  12. 12

    🇮🇩PurwodadiCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 82 in rainZone 13a · No frost · 0 chill hours · 2,071 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  13. 13

    🇮🇩TegalCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,943 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  14. 14

    🇮🇩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

    98%match
  15. 15

    🇮🇩PatiCentral Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 84 in rainZone 13b · No frost · 0 chill hours · 2,126 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  16. 16

    🇮🇩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

    97%match
  17. 17

    🇮🇩KutoarjoCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 91 in rainZone 13a · No frost · 0 chill hours · 2,304 mm rain

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

    97%match
  18. 18

    🇮🇩ManggarBangka–Belitung Islands, Indonesia

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

    Shares 18 of your 18 great-fit crops

    97%match
  19. 19

    🇹🇭Chumphon↻Seasons flipped. Thailand

    Zone 13a · No frost · 0 chill hours · 79 in rainZone 13a · No frost · 0 chill hours · 1,999 mm rain

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

    97%match
  20. 20

    🇵🇭Siocon↻Seasons flipped. Zamboanga Peninsula, Philippines

    Zone 13b · No frost · 0 chill hours · 78 in rainZone 13b · No frost · 0 chill hours · 1,987 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 Kresek: 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.