Climatch

Land with a climate like Weleri

🇮🇩Weleri, Central Java, Indonesia

The towns with the closest growing climate to Weleri are Pemalang, Indonesia (99% match), Purwodadi and Juwana. About 1.9 million sq mi of land in 50 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Bolívar, Venezuela.The towns with the closest growing climate to Weleri are Pemalang, Indonesia (99% match), Purwodadi and Juwana. About 4.9 million km² of land in 50 countries matches 80% or better, most of it in Pará, Brazil, Amazonas, Brazil and Bolívar, Venezuela.

Your growing climate

Zone 13a · No frost · 0 chill hours · 88 in rainZone 13a · No frost · 0 chill hours · 2,241 mm rain

What grows in Weleri →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    113k sq mi292k km² matching 80% or better

    For example Acará (91), Tomé-Açu (91)

  2. 2

    🇧🇷Amazonas, Brazil

    94k sq mi243k km² matching 80% or better

    For example Novo Airão (89), Careiro da Várzea (88)

  3. 3

    🇻🇪Bolívar, Venezuela

    29k sq mi75k km² matching 80% or better

    For example La Paragua (95), El Dorado (92)

  4. 4

    🇮🇩Central Kalimantan, Indonesia

    26k sq mi68k km² matching 80% or better

    For example Kualakapuas (96), Palangkaraya (92)

  5. 5

    🇵🇭Mimaropa, Philippines

    25k sq mi65k km² matching 80% or better

    For example Sablayan (90), Roxas (89)

  6. 6

    🇮🇩East Java, Indonesia

    22k sq mi56k km² matching 80% or better

    For example Trenggalek (99), Boyolangu (99)

  7. 7

    🇮🇩South Sumatra, Indonesia

    19k sq mi50k km² matching 80% or better

    For example Baturaja (94), Prabumulih (93)

  8. 8

    🇨🇩Mongala, Democratic Republic of the Congo

    18k sq mi46k km² matching 80% or better

    For example Bumba (88), Lisala (86)

  9. 9

    🇨🇴Antioquia, Colombia

    17k sq mi45k km² matching 80% or better

    For example San Pedro de Urabá (97), Turbo (95)

  10. 10

    🇨🇬Likouala, Republic of the Congo

    12k sq mi32k km² matching 80% or better

    For example Impfondo (88), Bétou (84)

  11. 11

    🇨🇮Bas-Sassandra District, Ivory Coast

    12k sq mi31k km² matching 80% or better

    For example Watté (90), Gagny (90)

  12. 12

    🇵🇭Zamboanga Peninsula, Philippines

    12k sq mi30k km² matching 80% or better

    For example Siocon (93), Ipil (92)

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

    🇮🇩PemalangCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 90 in rainZone 13a · No frost · 0 chill hours · 2,275 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  2. 2

    🇮🇩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 18 great-fit crops

    99%match
  3. 3

    🇮🇩JuwanaCentral Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 74 in rainZone 13b · No frost · 0 chill hours · 1,871 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  4. 4

    🇮🇩SerangBanten, Indonesia

    Zone 13b · No frost · 0 chill hours · 71 in rainZone 13b · No frost · 0 chill hours · 1,812 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  5. 5

    🇮🇩ParepareSouth Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,023 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  6. 6

    🇮🇩SumberWest Java, Indonesia

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

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

    99%match
  7. 7

    🇮🇩KutoarjoCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 91 in rainZone 13a · No frost · 0 chill hours · 2,304 mm rain

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

    99%match
  8. 8

    🇮🇩CikarangWest Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 76 in rainZone 13b · No frost · 0 chill hours · 1,943 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  9. 9

    🇮🇩TangerangBanten, Indonesia

    Zone 13b · No frost · 0 chill hours · 79 in rainZone 13b · No frost · 0 chill hours · 2,007 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  10. 10

    🇮🇩MajenangCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 107 in rainZone 13a · No frost · 0 chill hours · 2,717 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: strawberry

    98%match
  11. 11

    🇮🇩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 18 great-fit crops

    98%match
  12. 12

    🇮🇩MajeneWest Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 72 in rainZone 13b · No frost · 0 chill hours · 1,819 mm rain

    Shares 18 of your 18 great-fit crops

    98%match
  13. 13

    🇮🇩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

    98%match
  14. 14

    🇮🇩PolewaliWest Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 80 in rainZone 13b · No frost · 0 chill hours · 2,041 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  15. 15

    🇮🇩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

    97%match
  16. 16

    🇮🇩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
  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 18 great-fit crops

    97%match
  18. 18

    🇨🇴San Pedro de Urabá↻Seasons flipped. Antioquia, Colombia

    Zone 13b · No frost · 0 chill hours · 74 in rainZone 13b · No frost · 0 chill hours · 1,876 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  19. 19

    🇮🇩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 18 great-fit crops

    97%match
  20. 20

    🇮🇩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

    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 Weleri: 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.