Climatch

Land with a climate like Blitar

🇮🇩Blitar, East Java, Indonesia

The towns with the closest growing climate to Blitar are Jatiroto, Indonesia (99% match), Lumajang and Jember. About 1.2 million sq mi of land in 44 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 Blitar are Jatiroto, Indonesia (99% match), Lumajang and Jember. About 3.1 million km² of land in 44 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 · 79 in rainZone 13a · No frost · 0 chill hours · 1,997 mm rain

What grows in Blitar →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    64k sq mi165k km² matching 80% or better

    For example Parauapebas (85), Ulianópolis (84)

  2. 2

    🇻🇪Bolívar, Venezuela

    33k sq mi84k km² matching 80% or better

    For example La Paragua (94), Ciudad Piar (90)

  3. 3

    🇮🇩East Java, Indonesia

    24k sq mi62k km² matching 80% or better

    For example Lumajang (99), Jember (99)

  4. 4

    🇮🇩East Nusa Tenggara, Indonesia

    20k sq mi52k km² matching 80% or better

    For example Tambolaka (97), Labuan Bajo (93)

  5. 5

    🇨🇩Mongala, Democratic Republic of the Congo

    18k sq mi46k km² matching 80% or better

    For example Lisala (84), Bumba (84)

  6. 6

    🇨🇩Bas-Uele, Democratic Republic of the Congo

    18k sq mi46k km² matching 80% or better

    For example Aketi (87), Bondo (86)

  7. 7

    🇮🇩Central Java, Indonesia

    16k sq mi42k km² matching 80% or better

    For example Jatiroto (99), Karangnongko (99)

  8. 8

    🇻🇪Anzoátegui, Venezuela

    14k sq mi37k km² matching 80% or better

    For example Cantaura (85), Anaco (84)

  9. 9

    🇧🇴Beni Department, Bolivia

    13k sq mi34k km² matching 80% or better

    For example San Borja (82), Trinidad (80)

  10. 10

    🇨🇩Maniema, Democratic Republic of the Congo

    11k sq mi29k km² matching 80% or better

    For example Kindu (82), Kampene (81)

  11. 11

    🇨🇬Likouala, Republic of the Congo

    11k sq mi28k km² matching 80% or better

    For example Bétou (86), Mindouli (86)

  12. 12

    🇻🇪Monagas, Venezuela

    11k sq mi28k km² matching 80% or better

    For example Barrancas (86), Caripito (83)

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

    🇮🇩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

    99%match
  2. 2

    🇮🇩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 19 great-fit crops

    99%match
  3. 3

    🇮🇩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 19 great-fit crops

    99%match
  4. 4

    🇮🇩KlatenCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 81 in rainZone 13a · No frost · 0 chill hours · 2,056 mm rain

    Shares 19 of your 19 great-fit crops

    99%match
  5. 5

    🇻🇳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

    99%match
  6. 6

    🇮🇩PandakYogyakarta, Indonesia

    Zone 13a · No frost · 0 chill hours · 80 in rainZone 13a · No frost · 0 chill hours · 2,044 mm rain

    Shares 19 of your 19 great-fit crops

    98%match
  7. 7

    🇮🇩PandaanEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 71 in rainZone 13a · No frost · 0 chill hours · 1,808 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  8. 8

    🇮🇩SumberWest Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 96 in rainZone 13a · No frost · 0 chill hours · 2,447 mm rain

    Shares 19 of your 19 great-fit crops

    97%match
  9. 9

    🇮🇩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

    97%match
  10. 10

    🇮🇩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
  11. 11

    🇻🇳Đồng Xoài↻Seasons flipped. Dong Nai, Vietnam

    Zone 13a · No frost · 0 chill hours · 101 in rainZone 13a · No frost · 0 chill hours · 2,571 mm rain

    Shares 19 of your 19 great-fit crops

    96%match
  12. 12

    🇻🇳Phước Hòa↻Seasons flipped. Dong Nai, Vietnam

    Zone 12b · No frost · 0 chill hours · 86 in rainZone 12b · No frost · 0 chill hours · 2,192 mm rain

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

    96%match
  13. 13

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

    96%match
  14. 14

    🇮🇩UngaranCentral Java, Indonesia

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

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

    96%match
  15. 15

    🇮🇩BojonegoroEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 72 in rainZone 13a · No frost · 0 chill hours · 1,826 mm rain

    Shares 17 of your 19 great-fit crops

    95%match
  16. 16

    🇮🇩PurwodadiCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 82 in rainZone 13a · No frost · 0 chill hours · 2,071 mm rain

    Shares 18 of your 19 great-fit crops

    95%match
  17. 17

    🇮🇩PatiCentral Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 84 in rainZone 13b · No frost · 0 chill hours · 2,126 mm rain

    Shares 18 of your 19 great-fit crops

    95%match
  18. 18

    🇮🇩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

    95%match
  19. 19

    🇮🇩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

    95%match
  20. 20

    🇻🇪Barinitas↻Seasons flipped. Barinas, Venezuela

    Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,491 mm rain

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

    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 Blitar: 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.