Climatch

Land with a climate like Ungaran

🇮🇩Ungaran, Central Java, Indonesia

The towns with the closest growing climate to Ungaran are Kuningan, Indonesia (99% match), Sumedang and Singaparna. About 1.4 million sq mi of land in 50 countries matches 80% or better, most of it in Pará, Brazil, Bolívar, Venezuela and Acre, Brazil.The towns with the closest growing climate to Ungaran are Kuningan, Indonesia (99% match), Sumedang and Singaparna. About 3.7 million km² of land in 50 countries matches 80% or better, most of it in Pará, Brazil, Bolívar, Venezuela and Acre, Brazil.

Your growing climate

Zone 13a · No frost · 0 chill hours · 98 in rainZone 13a · No frost · 0 chill hours · 2,483 mm rain

What grows in Ungaran →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    50k sq mi131k km² matching 80% or better

    For example Rurópolis (84), Acará (83)

  2. 2

    🇻🇪Bolívar, Venezuela

    25k sq mi65k km² matching 80% or better

    For example La Paragua (88), Upata (86)

  3. 3

    🇧🇷Acre, Brazil

    23k sq mi61k km² matching 80% or better

    For example Marechal Thaumaturgo (84), Mâncio Lima (82)

  4. 4

    🇮🇩South Sumatra, Indonesia

    21k sq mi55k km² matching 80% or better

    For example Tanjungagung (90), Baturaja (87)

  5. 5

    🇮🇩Central Java, Indonesia

    19k sq mi50k km² matching 80% or better

    For example Karangnongko (98), Jatiroto (98)

  6. 6

    🇨🇩Tshopo, Democratic Republic of the Congo

    18k sq mi47k km² matching 80% or better

    For example Yangambi (85), Basoko (84)

  7. 7

    🇨🇩Mongala, Democratic Republic of the Congo

    18k sq mi46k km² matching 80% or better

    For example Binga (89), Lisala (87)

  8. 8

    🇮🇩East Java, Indonesia

    18k sq mi46k km² matching 80% or better

    For example Dampit (99), Gongdanglegi Kulon (99)

  9. 9

    🇨🇩Bas-Uele, Democratic Republic of the Congo

    17k sq mi43k km² matching 80% or better

    For example Aketi (84), Buta (83)

  10. 10

    🇧🇷Amazonas, Brazil

    15k sq mi40k km² matching 80% or better

    For example Novo Airão (81), Guajará (80)

  11. 11

    🇨🇴Antioquia, Colombia

    14k sq mi36k km² matching 80% or better

    For example Dabeiba (98), Segovia (90)

  12. 12

    🇨🇬Likouala, Republic of the Congo

    12k sq mi32k km² matching 80% or better

    For example Bétou (88), Mindouli (88)

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

    🇮🇩KuninganWest Java, Indonesia

    Zone 12b · No frost · 0 chill hours · 110 in rainZone 12b · No frost · 0 chill hours · 2,800 mm rain

    Shares 18 of your 20 great-fit crops

    99%match
  2. 2

    🇮🇩SumedangWest Java, Indonesia

    Zone 12b · No frost · 0 chill hours · 95 in rainZone 12b · No frost · 0 chill hours · 2,413 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: coffee (arabica), canola (rapeseed)

    99%match
  3. 3

    🇮🇩SingaparnaWest Java, Indonesia

    Zone 12b · No frost · 0 chill hours · 112 in rainZone 12b · No frost · 0 chill hours · 2,835 mm rain

    Shares 18 of your 20 great-fit crops

    99%match
  4. 4

    🇮🇩KarangnongkoCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 89 in rainZone 13a · No frost · 0 chill hours · 2,248 mm rain

    Shares 19 of your 20 great-fit crops

    98%match
  5. 5

    🇨🇴Dabeiba↻Seasons flipped. Antioquia, Colombia

    Zone 12b · No frost · 0 chill hours · 90 in rainZone 12b · No frost · 0 chill hours · 2,280 mm rain

    Shares 20 of your 20 great-fit crops

    98%match
  6. 6

    🇮🇩CianjurWest Java, Indonesia

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

    Shares 20 of your 20 great-fit crops · Also great there: coffee (arabica)

    98%match
  7. 7

    🇮🇩JatirotoCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,158 mm rain

    Shares 19 of your 20 great-fit crops

    98%match
  8. 8

    🇮🇩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 20 great-fit crops

    97%match
  9. 9

    🇮🇩MalangEast Java, Indonesia

    Zone 12b · No frost · 0 chill hours · 94 in rainZone 12b · No frost · 0 chill hours · 2,398 mm rain

    Shares 20 of your 20 great-fit crops

    97%match
  10. 10

    🇮🇩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 20 great-fit crops

    97%match
  11. 11

    🇮🇩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 20 great-fit crops

    97%match
  12. 12

    🇮🇩MargahayukencanaWest Java, Indonesia

    Zone 12b · No frost · 0 chill hours · 89 in rainZone 12b · No frost · 0 chill hours · 2,266 mm rain

    Shares 20 of your 20 great-fit crops · Also great there: coffee (arabica), canola (rapeseed), barley

    96%match
  13. 13

    🇵🇦La Concepción↻Seasons flipped. Chiriquí Province, Panama

    Zone 13a · No frost · 0 chill hours · 113 in rainZone 13a · No frost · 0 chill hours · 2,859 mm rain

    Shares 17 of your 20 great-fit crops

    96%match
  14. 14

    🇮🇩GentengEast Java, Indonesia

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

    Shares 20 of your 20 great-fit crops

    96%match
  15. 15

    🇮🇩BlitarEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 79 in rainZone 13a · No frost · 0 chill hours · 1,997 mm rain

    Shares 19 of your 20 great-fit crops

    96%match
  16. 16

    🇮🇩PurwakartaWest Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 81 in rainZone 13b · No frost · 0 chill hours · 2,059 mm rain

    Shares 19 of your 20 great-fit crops

    95%match
  17. 17

    🇮🇩JemberEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 83 in rainZone 13a · No frost · 0 chill hours · 2,098 mm rain

    Shares 19 of your 20 great-fit crops

    94%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 19 of your 20 great-fit crops

    93%match
  19. 19

    🇮🇩KutoarjoCentral Java, Indonesia

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

    Shares 19 of your 20 great-fit crops

    93%match
  20. 20

    🇹🇭Kathu↻Seasons flipped. Phuket, Thailand

    Zone 13a · No frost · 0 chill hours · 98 in rainZone 13a · No frost · 0 chill hours · 2,482 mm rain

    Shares 19 of your 20 great-fit crops

    93%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 Ungaran: 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.