Climatch

Land with a climate like Genteng

🇮🇩Genteng, East Java, Indonesia

The towns with the closest growing climate to Genteng are Trenggalek, Indonesia (99% match), Klungkung and Magelang. About 2.5 million sq mi of land in 63 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Central Kalimantan, Indonesia.The towns with the closest growing climate to Genteng are Trenggalek, Indonesia (99% match), Klungkung and Magelang. About 6.6 million km² of land in 63 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Central Kalimantan, Indonesia.

Your growing climate

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

What grows in Genteng →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    75k sq mi194k km² matching 80% or better

    For example Novo Airão (86), Manacapuru (83)

  2. 2

    🇧🇷Pará, Brazil

    45k sq mi117k km² matching 80% or better

    For example Acará (84), Bujaru (84)

  3. 3

    🇮🇩Central Kalimantan, Indonesia

    25k sq mi66k km² matching 80% or better

    For example Kualakapuas (89), Sampit (87)

  4. 4

    🇻🇪Bolívar, Venezuela

    25k sq mi65k km² matching 80% or better

    For example El Dorado (95), Tumeremo (94)

  5. 5

    🇲🇾Sabah, Malaysia

    22k sq mi58k km² matching 80% or better

    For example Kinarut (93), Donggongon (92)

  6. 6

    🇮🇩Central Sulawesi, Indonesia

    22k sq mi57k km² matching 80% or better

    For example Luwuk (91), Toli-Toli (87)

  7. 7

    🇮🇩Jambi, Indonesia

    22k sq mi57k km² matching 80% or better

    For example Muara Bungo (87), Mendaha (86)

  8. 8

    🇨🇩Tshopo, Democratic Republic of the Congo

    21k sq mi54k km² matching 80% or better

    For example Basoko (88), Yangambi (86)

  9. 9

    🇵🇭Mimaropa, Philippines

    21k sq mi54k km² matching 80% or better

    For example Romblon (87), Puerto Princesa (85)

  10. 10

    🇨🇩Mongala, Democratic Republic of the Congo

    18k sq mi46k km² matching 80% or better

    For example Bumba (87), Lisala (85)

  11. 11

    🇧🇷Bahia, Brazil

    16k sq mi42k km² matching 80% or better

    For example Ilhéus (91), Itabuna (88)

  12. 12

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi39k km² matching 80% or better

    For example Marawi City (94), Al-Barka (94)

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

    🇮🇩TrenggalekEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 85 in rainZone 13a · No frost · 0 chill hours · 2,157 mm rain

    Shares 19 of your 20 great-fit crops

    99%match
  2. 2

    🇮🇩KlungkungBali, Indonesia

    Zone 13a · No frost · 0 chill hours · 68 in rainZone 13a · No frost · 0 chill hours · 1,727 mm rain

    Shares 19 of your 20 great-fit crops

    99%match
  3. 3

    🇮🇩MagelangCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 108 in rainZone 13a · No frost · 0 chill hours · 2,753 mm rain

    Shares 17 of your 20 great-fit crops

    97%match
  4. 4

    🇮🇩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 20 great-fit crops

    97%match
  5. 5

    🇵🇭Bambang↻Seasons flipped. Cagayan Valley, Philippines

    Zone 12b · No frost · 0 chill hours · 70 in rainZone 12b · No frost · 0 chill hours · 1,782 mm rain

    Shares 20 of your 20 great-fit crops

    96%match
  6. 6

    🇮🇩UngaranCentral Java, Indonesia

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

    Shares 20 of your 20 great-fit crops

    96%match
  7. 7

    🇮🇩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 20 great-fit crops

    96%match
  8. 8

    🇵🇭Tabuk↻Seasons flipped. Cordillera, Philippines

    Zone 12b · No frost · 0 chill hours · 87 in rainZone 12b · No frost · 0 chill hours · 2,212 mm rain

    Shares 20 of your 20 great-fit crops

    95%match
  9. 9

    🇵🇭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 18 of your 20 great-fit crops

    95%match
  10. 10

    🇮🇩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 20 great-fit crops

    95%match
  11. 11

    🇮🇩KedungwuniCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 103 in rainZone 13a · No frost · 0 chill hours · 2,615 mm rain

    Shares 18 of your 20 great-fit crops

    95%match
  12. 12

    🇻🇪El Dorado↻Seasons flipped. Bolívar, Venezuela

    Zone 13a · No frost · 0 chill hours · 74 in rainZone 13a · No frost · 0 chill hours · 1,877 mm rain

    Shares 19 of your 20 great-fit crops

    95%match
  13. 13

    🇮🇩MajenangCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 107 in rainZone 13a · No frost · 0 chill hours · 2,717 mm rain

    Shares 18 of your 20 great-fit crops

    95%match
  14. 14

    🇮🇩TasikmalayaWest Java, Indonesia

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

    Shares 15 of your 20 great-fit crops

    95%match
  15. 15

    🇵🇭Kidapawan↻Seasons flipped. Soccsksargen, Philippines

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,189 mm rain

    Shares 19 of your 20 great-fit crops

    95%match
  16. 16

    🇮🇩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

    94%match
  17. 17

    🇻🇪Tumeremo↻Seasons flipped. Bolívar, Venezuela

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,673 mm rain

    Shares 19 of your 20 great-fit crops

    94%match
  18. 18

    🇮🇩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 19 of your 20 great-fit crops

    94%match
  19. 19

    🇮🇩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 20 great-fit crops

    94%match
  20. 20

    🇵🇭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 20 great-fit crops

    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 Genteng: 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.