Climatch

Land with a climate like Pandeglang

🇮🇩Pandeglang, Banten, Indonesia

The towns with the closest growing climate to Pandeglang are Pelabuhanratu, Indonesia (99% match), Lebaksiu and Lubuklinggau. About 2.4 million sq mi of land in 55 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Central Kalimantan, Indonesia.The towns with the closest growing climate to Pandeglang are Pelabuhanratu, Indonesia (99% match), Lebaksiu and Lubuklinggau. About 6.3 million km² of land in 55 countries matches 80% or better, most of it in Amazonas, Brazil, Sarawak, Malaysia and Central Kalimantan, Indonesia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 118 in rainZone 13a · No frost · 0 chill hours · 2,991 mm rain

What grows in Pandeglang →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    153k sq mi396k km² matching 80% or better

    For example Presidente Figueiredo (87), Novo Airão (86)

  2. 2

    🇲🇾Sarawak, Malaysia

    29k sq mi74k km² matching 80% or better

    For example Beluru (82), Miri (82)

  3. 3

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi71k km² matching 80% or better

    For example Pangkalanbuun (93), Sampit (89)

  4. 4

    🇮🇩North Sumatra, Indonesia

    24k sq mi63k km² matching 80% or better

    For example Pekan Bahapal (91), Pematangsiantar (89)

  5. 5

    🇮🇩Jambi, Indonesia

    23k sq mi60k km² matching 80% or better

    For example Muara Bungo (94), Mendaha (91)

  6. 6

    🇲🇾Sabah, Malaysia

    21k sq mi54k km² matching 80% or better

    For example Tambunan (92), Ranau (91)

  7. 7

    🇵🇪Loreto, Peru

    18k sq mi46k km² matching 80% or better

    For example Requena (81), Iquitos (80)

  8. 8

    🇧🇷Pará, Brazil

    14k sq mi36k km² matching 80% or better

    For example Belém (84), Ananindeua (83)

  9. 9

    🇻🇪Bolívar, Venezuela

    14k sq mi36k km² matching 80% or better

    For example El Dorado (81), Tumeremo (79)

  10. 10

    🇨🇴Antioquia, Colombia

    14k sq mi35k km² matching 80% or better

    For example Segovia (93), Dabeiba (88)

  11. 11

    🇧🇷Acre, Brazil

    13k sq mi35k km² matching 80% or better

    For example Mâncio Lima (84), Cruzeiro do Sul (82)

  12. 12

    🇵🇭Western Visayas, Philippines

    13k sq mi33k km² matching 80% or better

    For example Murcia (85), Enrique B. Magalona (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

    🇮🇩PelabuhanratuWest Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 124 in rainZone 13a · No frost · 0 chill hours · 3,160 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  2. 2

    🇮🇩LebaksiuCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 120 in rainZone 13a · No frost · 0 chill hours · 3,046 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  3. 3

    🇮🇩LubuklinggauSouth Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 116 in rainZone 13a · No frost · 0 chill hours · 2,957 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  4. 4

    🇮🇩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 17 great-fit crops

    97%match
  5. 5

    🇮🇩TasikmalayaWest Java, Indonesia

    Zone 12b · No frost · 0 chill hours · 133 in rainZone 12b · No frost · 0 chill hours · 3,375 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: wheat

    97%match
  6. 6

    🇮🇩BogorWest Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 142 in rainZone 13a · No frost · 0 chill hours · 3,595 mm rain

    Shares 13 of your 17 great-fit crops

    97%match
  7. 7

    🇵🇭Manolo Fortich↻Seasons flipped. Northern Mindanao, Philippines

    Zone 13a · No frost · 0 chill hours · 109 in rainZone 13a · No frost · 0 chill hours · 2,779 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  8. 8

    🇮🇩BaturajaSouth Sumatra, Indonesia

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

    Shares 16 of your 17 great-fit crops · Also great there: citrus

    96%match
  9. 9

    🇮🇩BuaranCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 114 in rainZone 13a · No frost · 0 chill hours · 2,908 mm rain

    Shares 17 of your 17 great-fit crops

    96%match
  10. 10

    🇱🇰Gampola↻Seasons flipped. Central Province, Sri Lanka

    Zone 12b · No frost · 0 chill hours · 127 in rainZone 12b · No frost · 0 chill hours · 3,236 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: wheat

    96%match
  11. 11

    🇮🇩CianjurWest Java, Indonesia

    Zone 12b · No frost · 0 chill hours · 95 in rainZone 12b · No frost · 0 chill hours · 2,421 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: citrus, avocado, wheat

    96%match
  12. 12

    🇮🇩CurupBengkulu, Indonesia

    Zone 12b · No frost · 0 chill hours · 96 in rainZone 12b · No frost · 0 chill hours · 2,447 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: citrus, wheat, avocado

    96%match
  13. 13

    🇵🇭Nunungan↻Seasons flipped. Northern Mindanao, Philippines

    Zone 12b · No frost · 0 chill hours · 119 in rainZone 12b · No frost · 0 chill hours · 3,028 mm rain

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

    95%match
  14. 14

    🇮🇩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 17 great-fit crops

    94%match
  15. 15

    🇮🇩GentengEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 81 in rainZone 13a · No frost · 0 chill hours · 2,069 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: citrus, avocado, wheat

    94%match
  16. 16

    🇵🇭Lake Sebu↻Seasons flipped. Soccsksargen, Philippines

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,925 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: citrus, avocado

    94%match
  17. 17

    🇵🇭Iligan City↻Seasons flipped. Soccsksargen, Philippines

    Zone 13a · No frost · 0 chill hours · 106 in rainZone 13a · No frost · 0 chill hours · 2,696 mm rain

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

    94%match
  18. 18

    🇮🇩SolokWest Sumatra, Indonesia

    Zone 13a · No frost · 0 chill hours · 114 in rainZone 13a · No frost · 0 chill hours · 2,893 mm rain

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

    94%match
  19. 19

    🇮🇩Muara BungoJambi, Indonesia

    Zone 13b · No frost · 0 chill hours · 119 in rainZone 13b · No frost · 0 chill hours · 3,035 mm rain

    Shares 15 of your 17 great-fit crops

    94%match
  20. 20

    🇮🇩Bandar LampungLampung, Indonesia

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

    Shares 16 of your 17 great-fit crops · Also great there: citrus, avocado

    94%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 Pandeglang: 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.