Climatch

Land with a climate like Lasem

🇮🇩Lasem, Central Java, Indonesia

The towns with the closest growing climate to Lasem are Paciran, Indonesia (99% match), Sampang and Bangkalan. About 1.0 million sq mi of land in 42 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 Lasem are Paciran, Indonesia (99% match), Sampang and Bangkalan. About 2.6 million km² of land in 42 countries matches 80% or better, most of it in Pará, Brazil, Bolívar, Venezuela and East Nusa Tenggara, Indonesia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 57 in rainZone 13b · No frost · 0 chill hours · 1,455 mm rain

What grows in Lasem →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    70k sq mi182k km² matching 80% or better

    For example Ulianópolis (87), Novo Repartimento (86)

  2. 2

    🇻🇪Bolívar, Venezuela

    32k sq mi83k km² matching 80% or better

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

  3. 3

    🇮🇩East Nusa Tenggara, Indonesia

    27k sq mi70k km² matching 80% or better

    For example Labuan Bajo (99), Tambolaka (97)

  4. 4

    🇮🇩East Java, Indonesia

    21k sq mi55k km² matching 80% or better

    For example Paciran (99), Sampang (99)

  5. 5

    🇵🇭Mimaropa, Philippines

    18k sq mi46k km² matching 80% or better

    For example Roxas (91), Puerto Princesa (90)

  6. 6

    🇧🇷Maranhão, Brazil

    16k sq mi41k km² matching 80% or better

    For example Pindaré-Mirim (88), Penalva (88)

  7. 7

    🇻🇪Anzoátegui, Venezuela

    15k sq mi39k km² matching 80% or better

    For example Soledad (93), Puerto La Cruz (92)

  8. 8

    🇮🇩West Nusa Tenggara, Indonesia

    14k sq mi35k km² matching 80% or better

    For example Praya (94), Mataram (94)

  9. 9

    🇻🇪Apure, Venezuela

    12k sq mi31k km² matching 80% or better

    For example Elorza (89), San Fernando de Apure (88)

  10. 10

    🇨🇮Bas-Sassandra District, Ivory Coast

    11k sq mi29k km² matching 80% or better

    For example Gagny (89), Gligbeuadji (89)

  11. 11

    🇨🇴Vichada Department, Colombia

    11k sq mi29k km² matching 80% or better

    For example Puerto Carreño (85), Cumaribo (84)

  12. 12

    🇨🇴Córdoba, Colombia

    8,600 sq mi22k km² matching 80% or better

    For example Planeta Rica (97), Lorica (96)

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

    🇮🇩PaciranEast Java, Indonesia

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

    Shares 19 of your 19 great-fit crops

    99%match
  2. 2

    🇮🇩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 19 great-fit crops

    99%match
  3. 3

    🇮🇩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 19 great-fit crops

    99%match
  4. 4

    🇮🇩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

    99%match
  5. 5

    🇮🇩RengasdengklokWest Java, Indonesia

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

    Shares 18 of your 19 great-fit crops

    99%match
  6. 6

    🇮🇩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 19 great-fit crops

    99%match
  7. 7

    🇮🇩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

    99%match
  8. 8

    🇮🇩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

    99%match
  9. 9

    🇮🇩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 19 great-fit crops

    99%match
  10. 10

    🇮🇩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 18 of your 19 great-fit crops

    99%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 19 great-fit crops

    98%match
  12. 12

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

    98%match
  13. 13

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

    97%match
  14. 14

    🇮🇩WongsorejoEast Java, Indonesia

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

    Shares 16 of your 19 great-fit crops

    97%match
  15. 15

    🇮🇩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: strawberry

    97%match
  16. 16

    🇮🇩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 19 great-fit crops

    97%match
  17. 17

    🇮🇩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

    97%match
  18. 18

    🇮🇩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 18 of your 19 great-fit crops · Also great there: strawberry

    97%match
  19. 19

    🇮🇩NgawiEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 79 in rainZone 13a · No frost · 0 chill hours · 2,017 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  20. 20

    🇨🇴Planeta Rica↻Seasons flipped. Córdoba, Colombia

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

    Shares 16 of your 19 great-fit crops

    97%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 Lasem: 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.