Climatch

Land with a climate like Cepu

🇮🇩Cepu, Central Java, Indonesia

The towns with the closest growing climate to Cepu are Ponorogo, Indonesia (99% match), Surakarta and Kediri. About 975,000 sq mi of land in 42 countries matches 80% or better, most of it in Pará, Brazil, Bolívar, Venezuela and East Java, Indonesia.The towns with the closest growing climate to Cepu are Ponorogo, Indonesia (99% match), Surakarta and Kediri. About 2.5 million km² of land in 42 countries matches 80% or better, most of it in Pará, Brazil, Bolívar, Venezuela and East Java, Indonesia.

Your growing climate

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

What grows in Cepu →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    47k sq mi120k km² matching 80% or better

    For example Marabá (86), Nova Ipixuna (85)

  2. 2

    🇻🇪Bolívar, Venezuela

    32k sq mi82k km² matching 80% or better

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

  3. 3

    🇮🇩East Java, Indonesia

    21k sq mi54k km² matching 80% or better

    For example Ponorogo (99), Kedungwaru (99)

  4. 4

    🇮🇩East Nusa Tenggara, Indonesia

    19k sq mi49k km² matching 80% or better

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

  5. 5

    🇻🇪Anzoátegui, Venezuela

    15k sq mi38k km² matching 80% or better

    For example Soledad (96), Clarines (89)

  6. 6

    🇻🇪Apure, Venezuela

    14k sq mi36k km² matching 80% or better

    For example Guasdualito (92), Elorza (90)

  7. 7

    🇧🇷Maranhão, Brazil

    14k sq mi36k km² matching 80% or better

    For example Pindaré-Mirim (88), Penalva (86)

  8. 8

    🇮🇩Central Java, Indonesia

    14k sq mi35k km² matching 80% or better

    For example Grogol (99), Jaten (99)

  9. 9

    🇵🇭Mimaropa, Philippines

    12k sq mi31k km² matching 80% or better

    For example Roxas (86), Puerto Princesa (85)

  10. 10

    🇨🇴Vichada Department, Colombia

    12k sq mi30k km² matching 80% or better

    For example Puerto Carreño (92), Cumaribo (87)

  11. 11

    🇨🇴Antioquia, Colombia

    10k sq mi26k km² matching 80% or better

    For example Caucasia (91), San Pedro de Urabá (90)

  12. 12

    🇮🇳Kerala, India

    8,800 sq mi23k km² matching 80% or better

    For example Kudappanakkunnu (95), Kidarakulam (95)

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

    🇮🇩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

    99%match
  2. 2

    🇮🇩SurakartaCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 86 in rainZone 13a · No frost · 0 chill hours · 2,178 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  3. 3

    🇮🇩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

    99%match
  4. 4

    🇮🇩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
  5. 5

    🇮🇩KudusCentral Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 96 in rainZone 13b · No frost · 0 chill hours · 2,450 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  6. 6

    🇮🇩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

    99%match
  7. 7

    🇮🇩KarawangWest Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 70 in rainZone 13b · No frost · 0 chill hours · 1,789 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  8. 8

    🇮🇩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

    99%match
  9. 9

    🇮🇩PaciranEast Java, Indonesia

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

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

    99%match
  10. 10

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

    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 18 great-fit crops

    99%match
  12. 12

    🇮🇩SurabayaEast Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 65 in rainZone 13b · No frost · 0 chill hours · 1,661 mm rain

    Shares 16 of your 18 great-fit crops

    98%match
  13. 13

    🇮🇩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

    98%match
  14. 14

    🇮🇩JemberEast Java, Indonesia

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

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

    98%match
  15. 15

    🇻🇳Trảng Bom↻Seasons flipped. Dong Nai, Vietnam

    Zone 13a · No frost · 0 chill hours · 88 in rainZone 13a · No frost · 0 chill hours · 2,231 mm rain

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

    98%match
  16. 16

    🇮🇩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

    98%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 18 great-fit crops

    98%match
  18. 18

    🇮🇩SubangWest Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 97 in rainZone 13a · No frost · 0 chill hours · 2,460 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  19. 19

    🇮🇩MakassarSouth Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 109 in rainZone 13b · No frost · 0 chill hours · 2,763 mm rain

    Shares 15 of your 18 great-fit crops

    97%match
  20. 20

    🇰🇭Svay Rieng↻Seasons flipped. Cambodia

    Zone 13b · No frost · 0 chill hours · 62 in rainZone 13b · No frost · 0 chill hours · 1,585 mm rain

    Shares 16 of your 18 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 Cepu: 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.