Climatch

Land with a climate like Slawi

🇮🇩Slawi, Central Java, Indonesia

The towns with the closest growing climate to Slawi are Semarang, Indonesia (99% match), Plumbon and Surakarta. 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 Slawi are Semarang, Indonesia (99% match), Plumbon and Surakarta. About 5.0 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 · 85 in rainZone 13a · No frost · 0 chill hours · 2,167 mm rain

What grows in Slawi →

Regions with the most land like yours

  1. 1

    🇧🇷Pará, Brazil

    111k sq mi287k km² matching 80% or better

    For example Itaituba (92), Tomé-Açu (91)

  2. 2

    🇧🇷Amazonas, Brazil

    98k sq mi253k km² matching 80% or better

    For example Careiro da Várzea (90), Manacapuru (89)

  3. 3

    🇻🇪Bolívar, Venezuela

    32k sq mi84k km² matching 80% or better

    For example La Paragua (97), Ciudad Piar (93)

  4. 4

    🇵🇭Mimaropa, Philippines

    27k sq mi69k km² matching 80% or better

    For example Roxas (92), Sablayan (92)

  5. 5

    🇮🇩Central Kalimantan, Indonesia

    26k sq mi68k km² matching 80% or better

    For example Kualakapuas (97), Palangkaraya (93)

  6. 6

    🇧🇷Roraima, Brazil

    22k sq mi56k km² matching 80% or better

    For example Alto Alegre (87), Caracaraí (82)

  7. 7

    🇮🇩East Java, Indonesia

    20k sq mi53k km² matching 80% or better

    For example Trenggalek (99), Tulungagung (99)

  8. 8

    🇮🇩South Sumatra, Indonesia

    19k sq mi48k km² matching 80% or better

    For example Baturaja (93), Indralaya (92)

  9. 9

    🇨🇴Antioquia, Colombia

    17k sq mi44k km² matching 80% or better

    For example San Pedro de Urabá (97), Caucasia (97)

  10. 10

    🇨🇩Mongala, Democratic Republic of the Congo

    16k sq mi43k km² matching 80% or better

    For example Bumba (86), Lisala (83)

  11. 11

    🇧🇴Beni Department, Bolivia

    15k sq mi38k km² matching 80% or better

    For example San Borja (84), Trinidad (81)

  12. 12

    🇨🇮Bas-Sassandra District, Ivory Coast

    12k sq mi30k km² matching 80% or better

    For example Watté (91), Gagny (90)

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

    🇮🇩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

    99%match
  2. 2

    🇮🇩PlumbonWest Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 92 in rainZone 13a · No frost · 0 chill hours · 2,328 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  3. 3

    🇮🇩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
  4. 4

    🇮🇩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
  5. 5

    🇮🇩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
  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

    🇮🇩PurwakartaWest Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 81 in rainZone 13b · No frost · 0 chill hours · 2,059 mm rain

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

    99%match
  8. 8

    🇮🇩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
  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

    99%match
  10. 10

    🇮🇩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
  11. 11

    🇮🇩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

    99%match
  12. 12

    🇮🇩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
  13. 13

    🇮🇩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

    99%match
  14. 14

    🇮🇩JakartaIndonesia

    Zone 13b · No frost · 0 chill hours · 81 in rainZone 13b · No frost · 0 chill hours · 2,049 mm rain

    Shares 17 of your 18 great-fit crops

    99%match
  15. 15

    🇮🇩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 18 great-fit crops

    99%match
  16. 16

    🇮🇩MetroLampung, Indonesia

    Zone 13b · No frost · 0 chill hours · 87 in rainZone 13b · No frost · 0 chill hours · 2,219 mm rain

    Shares 18 of your 18 great-fit crops

    99%match
  17. 17

    🇮🇩KedungwaruEast Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 74 in rainZone 13a · No frost · 0 chill hours · 1,874 mm rain

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

    99%match
  18. 18

    🇮🇩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 18 great-fit crops

    98%match
  19. 19

    🇮🇩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

    98%match
  20. 20

    🇮🇩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

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 Slawi: 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.