Climatch

Land with a climate like Serang

🇮🇩Serang, Banten, Indonesia

The towns with the closest growing climate to Serang are Bandar Lampung, Indonesia (99% match), Terbanggi Besar and Pekalongan. About 2.8 million sq mi of land in 56 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Bolívar, Venezuela.The towns with the closest growing climate to Serang are Bandar Lampung, Indonesia (99% match), Terbanggi Besar and Pekalongan. About 7.1 million km² of land in 56 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 · 71 in rainZone 13b · No frost · 0 chill hours · 1,812 mm rain

What grows in Serang →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    142k sq mi367k km² matching 80% or better

    For example Novo Airão (93), Careiro da Várzea (92)

  2. 2

    🇧🇷Pará, Brazil

    118k sq mi306k km² matching 80% or better

    For example Itaituba (92), Trairão (92)

  3. 3

    🇻🇪Bolívar, Venezuela

    29k sq mi75k km² matching 80% or better

    For example El Dorado (95), La Paragua (94)

  4. 4

    🇵🇭Mimaropa, Philippines

    28k sq mi71k km² matching 80% or better

    For example Puerto Princesa (93), Narra (93)

  5. 5

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Kualakapuas (97), Palangkaraya (93)

  6. 6

    🇧🇷Roraima, Brazil

    27k sq mi71k km² matching 80% or better

    For example Alto Alegre (89), Caracaraí (85)

  7. 7

    🇨🇩Mai-Ndombe, Democratic Republic of the Congo

    21k sq mi53k km² matching 80% or better

    For example Inongo (89), Kutu (86)

  8. 8

    🇮🇩South Sumatra, Indonesia

    20k sq mi52k km² matching 80% or better

    For example Baturaja (96), Prabumulih (95)

  9. 9

    🇮🇩Jambi, Indonesia

    20k sq mi51k km² matching 80% or better

    For example Simpang (92), Mendaha (92)

  10. 10

    🇨🇩Mongala, Democratic Republic of the Congo

    18k sq mi46k km² matching 80% or better

    For example Bumba (90), Lisala (88)

  11. 11

    🇨🇩Tshopo, Democratic Republic of the Congo

    17k sq mi44k km² matching 80% or better

    For example Basoko (92), Kisangani (85)

  12. 12

    🇨🇴Antioquia, Colombia

    17k sq mi43k km² matching 80% or better

    For example San Pedro de Urabá (98), Turbo (95)

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

    🇮🇩UtanJakarta, Indonesia

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,944 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  5. 5

    🇮🇩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

    99%match
  6. 6

    🇮🇩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
  7. 7

    🇮🇩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
  8. 8

    🇮🇩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

    98%match
  9. 9

    🇨🇴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

    98%match
  10. 10

    🇮🇩BanyuwangiEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 56 in rainZone 13a · No frost · 0 chill hours · 1,427 mm rain

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

    98%match
  11. 11

    🇮🇩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
  12. 12

    🇮🇩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
  13. 13

    🇵🇭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

    98%match
  14. 14

    🇮🇩JakartaIndonesia

    Zone 13b · No frost · 0 chill hours · 81 in rainZone 13b · No frost · 0 chill hours · 2,049 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  15. 15

    🇮🇩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

    98%match
  16. 16

    🇮🇩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
  17. 17

    🇮🇩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

    97%match
  18. 18

    🇵🇭City of Isabela↻Seasons flipped. Autonomous Region in Muslim Mindanao, Philippines

    Zone 13b · No frost · 0 chill hours · 76 in rainZone 13b · No frost · 0 chill hours · 1,936 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  19. 19

    🇮🇩MataramWest Nusa Tenggara, Indonesia

    Zone 13a · No frost · 0 chill hours · 75 in rainZone 13a · No frost · 0 chill hours · 1,908 mm rain

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

    97%match
  20. 20

    🇮🇩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

    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 Serang: 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.