Climatch

Land with a climate like Rengasdengklok

🇮🇩Rengasdengklok, West Java, Indonesia

The towns with the closest growing climate to Rengasdengklok are Indramayu, Indonesia (99% match), Tegal and Sangkapura. About 1.2 million sq mi of land in 40 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Bolívar, Venezuela.The towns with the closest growing climate to Rengasdengklok are Indramayu, Indonesia (99% match), Tegal and Sangkapura. About 3.2 million km² of land in 40 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Bolívar, Venezuela.

Your growing climate

Zone 13b · No frost · 0 chill hours · 65 in rainZone 13b · No frost · 0 chill hours · 1,663 mm rain

What grows in Rengasdengklok →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    104k sq mi269k km² matching 80% or better

    For example Tomé-Açu (88), Ipixuna do Pará (87)

  2. 2

    🇧🇷Amazonas, Brazil

    39k sq mi100k km² matching 80% or better

    For example Urucará (85), Manacapuru (84)

  3. 3

    🇻🇪Bolívar, Venezuela

    32k sq mi84k km² matching 80% or better

    For example La Paragua (94), Ciudad Piar (93)

  4. 4

    🇮🇩East Java, Indonesia

    22k sq mi56k km² matching 80% or better

    For example Sangkapura (99), Bangkalan (99)

  5. 5

    🇵🇭Mimaropa, Philippines

    21k sq mi56k km² matching 80% or better

    For example Roxas (93), Puerto Princesa (92)

  6. 6

    🇮🇩East Nusa Tenggara, Indonesia

    18k sq mi47k km² matching 80% or better

    For example Labuan Bajo (96), Tambolaka (95)

  7. 7

    🇮🇩Central Java, Indonesia

    15k sq mi39k km² matching 80% or better

    For example Tegal (99), Juwana (99)

  8. 8

    🇨🇩Mongala, Democratic Republic of the Congo

    15k sq mi38k km² matching 80% or better

    For example Lisala (82), Bumba (81)

  9. 9

    🇻🇪Anzoátegui, Venezuela

    14k sq mi36k km² matching 80% or better

    For example Soledad (90), Puerto La Cruz (88)

  10. 10

    🇧🇷Roraima, Brazil

    13k sq mi34k km² matching 80% or better

    For example Alto Alegre (82), Mucajaí (78)

  11. 11

    🇻🇪Monagas, Venezuela

    12k sq mi31k km² matching 80% or better

    For example Barrancas (93), Caripito (90)

  12. 12

    🇨🇴Vichada Department, Colombia

    12k sq mi30k km² matching 80% or better

    For example Cumaribo (87), Puerto Carreño (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

    🇮🇩IndramayuWest Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 67 in rainZone 13b · No frost · 0 chill hours · 1,691 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  2. 2

    🇮🇩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
  3. 3

    🇮🇩SangkapuraEast Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,947 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  4. 4

    🇮🇩BangkalanEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 69 in rainZone 13a · No frost · 0 chill hours · 1,740 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  5. 5

    🇮🇩SepatanWest Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 71 in rainZone 13b · No frost · 0 chill hours · 1,805 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  6. 6

    🇮🇩SampangEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 61 in rainZone 13a · No frost · 0 chill hours · 1,537 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  7. 7

    🇮🇩SerangBanten, Indonesia

    Zone 13b · No frost · 0 chill hours · 71 in rainZone 13b · No frost · 0 chill hours · 1,812 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  8. 8

    🇮🇩TubanEast Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 59 in rainZone 13b · No frost · 0 chill hours · 1,493 mm rain

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

    98%match
  9. 9

    🇮🇩WeleriCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 88 in rainZone 13a · No frost · 0 chill hours · 2,241 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  10. 10

    🇮🇩YogyakartaIndonesia

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,165 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  11. 11

    🇮🇩CirebonWest Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 89 in rainZone 13b · No frost · 0 chill hours · 2,267 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  12. 12

    🇮🇩BojonegoroEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,826 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  13. 13

    🇮🇩JeparaCentral Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 105 in rainZone 13b · No frost · 0 chill hours · 2,665 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  14. 14

    🇮🇩SumenepEast Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 62 in rainZone 13b · No frost · 0 chill hours · 1,569 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  15. 15

    🇮🇩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
  16. 16

    🇮🇩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

    97%match
  17. 17

    🇮🇩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
  18. 18

    🇮🇩LumajangEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 74 in rainZone 13a · No frost · 0 chill hours · 1,884 mm rain

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

    97%match
  19. 19

    🇮🇩KediriEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 73 in rainZone 13a · No frost · 0 chill hours · 1,856 mm rain

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

    96%match
  20. 20

    🇮🇩PonorogoEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 80 in rainZone 13a · No frost · 0 chill hours · 2,029 mm rain

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

    96%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 Rengasdengklok: 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.