Climatch

Land with a climate like Kencong

🇮🇩Kencong, East Java, Indonesia

The towns with the closest growing climate to Kencong are Tuban, Indonesia (99% match), Tambolaka and Pare. About 904,000 sq mi of land in 38 countries matches 80% or better, most of it in Pará, Brazil, Bolívar, Venezuela and East Nusa Tenggara, Indonesia.The towns with the closest growing climate to Kencong are Tuban, Indonesia (99% match), Tambolaka and Pare. About 2.3 million km² of land in 38 countries matches 80% or better, most of it in Pará, Brazil, Bolívar, Venezuela and East Nusa Tenggara, Indonesia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 63 in rainZone 13a · No frost · 0 chill hours · 1,612 mm rain

What grows in Kencong →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    36k sq mi94k km² matching 80% or better

    For example Ulianópolis (84), Dom Eliseu (84)

  2. 2

    🇻🇪Bolívar, Venezuela

    31k sq mi80k km² matching 80% or better

    For example La Paragua (92), Ciudad Piar (91)

  3. 3

    🇮🇩East Nusa Tenggara, Indonesia

    29k sq mi76k km² matching 80% or better

    For example Tambolaka (99), Labuan Bajo (99)

  4. 4

    🇮🇩East Java, Indonesia

    23k sq mi59k km² matching 80% or better

    For example Ngunut (99), Paciran (99)

  5. 5

    🇻🇪Apure, Venezuela

    15k sq mi40k km² matching 80% or better

    For example San Fernando de Apure (88), Guasdualito (88)

  6. 6

    🇻🇪Anzoátegui, Venezuela

    15k sq mi38k km² matching 80% or better

    For example Soledad (92), San José de Guanipa (90)

  7. 7

    🇮🇩West Nusa Tenggara, Indonesia

    14k sq mi37k km² matching 80% or better

    For example Dompu (98), Praya (98)

  8. 8

    🇵🇭Mimaropa, Philippines

    11k sq mi30k km² matching 80% or better

    For example Roxas (87), El Nido (84)

  9. 9

    🇲🇽Quintana Roo, Mexico

    9,900 sq mi26k km² matching 80% or better

    For example Chetumal (86), Felipe Carrillo Puerto (83)

  10. 10

    🇧🇷Maranhão, Brazil

    9,800 sq mi25k km² matching 80% or better

    For example Itinga do Maranhão (84), Pindaré-Mirim (82)

  11. 11

    🇹🇿Pwani, Tanzania

    9,800 sq mi25k km² matching 80% or better

    For example Bungu (86), Kilindoni (84)

  12. 12

    🇨🇺Camagüey, Cuba

    8,600 sq mi22k km² matching 80% or better

    For example Guáimaro (85), Sibanicú (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

    🇮🇩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 19 great-fit crops · Also great there: fig

    99%match
  2. 2

    🇮🇩TambolakaEast Nusa Tenggara, Indonesia

    Zone 13a · No frost · 0 chill hours · 68 in rainZone 13a · No frost · 0 chill hours · 1,721 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  3. 3

    🇮🇩PareEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 73 in rainZone 13a · No frost · 0 chill hours · 1,861 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  4. 4

    🇮🇩BanjarBali, Indonesia

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,496 mm rain

    Shares 16 of your 19 great-fit crops · Also great there: fig

    99%match
  5. 5

    🇮🇩KediriEast Java, Indonesia

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

    Shares 19 of your 19 great-fit crops

    99%match
  6. 6

    🇮🇩Labuan BajoEast Nusa Tenggara, Indonesia

    Zone 13a · No frost · 0 chill hours · 55 in rainZone 13a · No frost · 0 chill hours · 1,407 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: fig

    99%match
  7. 7

    🇮🇩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 19 great-fit crops

    98%match
  8. 8

    🇮🇩WongsorejoEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 50 in rainZone 13a · No frost · 0 chill hours · 1,260 mm rain

    Shares 15 of your 19 great-fit crops · Also great there: fig

    98%match
  9. 9

    🇻🇳Xuân Lộc↻Seasons flipped. Dong Nai, Vietnam

    Zone 13a · No frost · 0 chill hours · 89 in rainZone 13a · No frost · 0 chill hours · 2,271 mm rain

    Shares 19 of your 19 great-fit crops

    98%match
  10. 10

    🇮🇩NegaraBali, Indonesia

    Zone 13a · No frost · 0 chill hours · 56 in rainZone 13a · No frost · 0 chill hours · 1,423 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: fig

    98%match
  11. 11

    🇮🇩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 19 great-fit crops

    98%match
  12. 12

    🇮🇩CepuCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 69 in rainZone 13a · No frost · 0 chill hours · 1,764 mm rain

    Shares 18 of your 19 great-fit crops

    98%match
  13. 13

    🇮🇩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 19 great-fit crops

    98%match
  14. 14

    🇮🇩PrayaWest Nusa Tenggara, Indonesia

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,625 mm rain

    Shares 19 of your 19 great-fit crops

    98%match
  15. 15

    🇮🇩PamekasanEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,620 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  16. 16

    🇮🇩PamanukanWest Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 63 in rainZone 13b · No frost · 0 chill hours · 1,602 mm rain

    Shares 15 of your 19 great-fit crops

    97%match
  17. 17

    🇮🇩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 19 great-fit crops

    97%match
  18. 18

    🇮🇩EndeEast Nusa Tenggara, Indonesia

    Zone 13a · No frost · 0 chill hours · 44 in rainZone 13a · No frost · 0 chill hours · 1,126 mm rain

    Shares 15 of your 19 great-fit crops · Also great there: fig

    96%match
  19. 19

    🇮🇩MojokertoEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 69 in rainZone 13a · No frost · 0 chill hours · 1,753 mm rain

    Shares 15 of your 19 great-fit crops

    96%match
  20. 20

    🇮🇩MadiunEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 78 in rainZone 13a · No frost · 0 chill hours · 1,980 mm rain

    Shares 18 of your 19 great-fit crops

    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 Kencong: 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.