Climatch

Land with a climate like Babat

🇮🇩Babat, East Java, Indonesia

The towns with the closest growing climate to Babat are Kediri, Indonesia (99% match), Blora and Kencong. About 795,000 sq mi of land in 34 countries matches 80% or better, most of it in Pará, Brazil, Maranhão, Brazil and East Nusa Tenggara, Indonesia.The towns with the closest growing climate to Babat are Kediri, Indonesia (99% match), Blora and Kencong. About 2.1 million km² of land in 34 countries matches 80% or better, most of it in Pará, Brazil, Maranhão, Brazil and East Nusa Tenggara, Indonesia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 63 in rainZone 13a · No frost · 0 chill hours · 1,599 mm rain

What grows in Babat →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    39k sq mi102k km² matching 80% or better

    For example Marabá (86), Itupiranga (86)

  2. 2

    🇧🇷Maranhão, Brazil

    30k sq mi77k km² matching 80% or better

    For example Cantanhede (88), Matões do Norte (88)

  3. 3

    🇮🇩East Nusa Tenggara, Indonesia

    27k sq mi70k km² matching 80% or better

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

  4. 4

    🇻🇪Bolívar, Venezuela

    26k sq mi68k km² matching 80% or better

    For example Ciudad Bolívar (91), Caicara del Orinoco (91)

  5. 5

    🇮🇩East Java, Indonesia

    20k sq mi52k km² matching 80% or better

    For example Sampang (99), Kediri (99)

  6. 6

    🇻🇪Apure, Venezuela

    18k sq mi47k km² matching 80% or better

    For example San Fernando de Apure (91), Elorza (89)

  7. 7

    🇻🇪Anzoátegui, Venezuela

    15k sq mi39k km² matching 80% or better

    For example Soledad (95), Puerto La Cruz (92)

  8. 8

    🇮🇩West Nusa Tenggara, Indonesia

    13k sq mi34k km² matching 80% or better

    For example Dompu (97), Bima (96)

  9. 9

    🇵🇭Mimaropa, Philippines

    11k sq mi27k km² matching 80% or better

    For example Roxas (86), Puerto Princesa (83)

  10. 10

    🇮🇳Kerala, India

    10k sq mi26k km² matching 80% or better

    For example Vilappil (90), Malayinkeezhu (90)

  11. 11

    🇨🇴Córdoba, Colombia

    8,000 sq mi21k km² matching 80% or better

    For example Momil (94), Lorica (94)

  12. 12

    🇮🇳Andaman and Nicobar, India

    7,600 sq mi20k km² matching 80% or better

    For example Diglipur (83), Rangat (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

    🇮🇩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
  2. 2

    🇮🇩BloraCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,633 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  3. 3

    🇮🇩KencongEast Java, Indonesia

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

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

    99%match
  4. 4

    🇮🇩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 18 great-fit crops

    99%match
  5. 5

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

    99%match
  6. 6

    🇮🇩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 18 great-fit crops

    99%match
  7. 7

    🇮🇩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
  8. 8

    🇮🇩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 18 great-fit crops

    99%match
  9. 9

    🇮🇩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 18 great-fit crops

    99%match
  10. 10

    🇮🇩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
  11. 11

    🇮🇩ProbolinggoEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,316 mm rain

    Shares 15 of your 18 great-fit crops · Also great there: fig

    98%match
  12. 12

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

    Zone 13b · No frost · 0 chill hours · 82 in rainZone 13b · No frost · 0 chill hours · 2,082 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  13. 13

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

    97%match
  14. 14

    🇮🇩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 18 great-fit crops

    97%match
  15. 15

    🇮🇩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

    97%match
  16. 16

    🇮🇩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

    97%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 18 great-fit crops

    97%match
  18. 18

    🇻🇳Hòa Thành↻Seasons flipped. Tay Ninh, Vietnam

    Zone 13a · No frost · 0 chill hours · 75 in rainZone 13a · No frost · 0 chill hours · 1,913 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  19. 19

    🇵🇭Tarlac City↻Seasons flipped. Central Luzon, Philippines

    Zone 13a · No frost · 0 chill hours · 79 in rainZone 13a · No frost · 0 chill hours · 2,015 mm rain

    Shares 16 of your 18 great-fit crops

    96%match
  20. 20

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

    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 Babat: 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.