Climatch

Land with a climate like Majene

🇮🇩Majene, West Sulawesi, Indonesia

The towns with the closest growing climate to Majene are Parepare, Indonesia (99% match), Serang and San Pedro de Urabá. About 1.9 million sq mi of land in 59 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Central Kalimantan, Indonesia.The towns with the closest growing climate to Majene are Parepare, Indonesia (99% match), Serang and San Pedro de Urabá. About 4.9 million km² of land in 59 countries matches 80% or better, most of it in Amazonas, Brazil, Pará, Brazil and Central Kalimantan, Indonesia.

Your growing climate

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

What grows in Majene →

Regions with the most land like yours

  1. 1

    🇧🇷Amazonas, Brazil

    75k sq mi193k km² matching 80% or better

    For example Novo Airão (88), Maués (87)

  2. 2

    🇧🇷Pará, Brazil

    56k sq mi145k km² matching 80% or better

    For example Itaituba (87), Acará (86)

  3. 3

    🇮🇩Central Kalimantan, Indonesia

    27k sq mi70k km² matching 80% or better

    For example Kualakapuas (96), Palangkaraya (93)

  4. 4

    🇻🇪Bolívar, Venezuela

    26k sq mi68k km² matching 80% or better

    For example Tumeremo (91), El Dorado (91)

  5. 5

    🇵🇭Mimaropa, Philippines

    22k sq mi58k km² matching 80% or better

    For example Narra (94), Jose Rizal (94)

  6. 6

    🇲🇾Sabah, Malaysia

    22k sq mi58k km² matching 80% or better

    For example Kinarut (96), Donggongon (95)

  7. 7

    🇮🇩Central Sulawesi, Indonesia

    21k sq mi53k km² matching 80% or better

    For example Poso (92), Bungku (90)

  8. 8

    🇮🇩South Sumatra, Indonesia

    20k sq mi51k km² matching 80% or better

    For example Baturaja (94), Palembang (93)

  9. 9

    🇨🇴Antioquia, Colombia

    18k sq mi47k km² matching 80% or better

    For example San Pedro de Urabá (98), Turbo (98)

  10. 10

    🇨🇩Tshopo, Democratic Republic of the Congo

    16k sq mi43k km² matching 80% or better

    For example Basoko (88), Yangambi (82)

  11. 11

    🇵🇭Autonomous Region in Muslim Mindanao, Philippines

    15k sq mi39k km² matching 80% or better

    For example Al-Barka (93), City of Isabela (92)

  12. 12

    🇨🇩Mongala, Democratic Republic of the Congo

    14k sq mi36k km² matching 80% or better

    For example Bumba (85), Lisala (82)

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

    🇮🇩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
  2. 2

    🇮🇩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
  3. 3

    🇨🇴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

    98%match
  4. 4

    🇹🇭Lang Suan↻Seasons flipped. Chumphon, Thailand

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,923 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  5. 5

    🇮🇩MranggenCentral Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 84 in rainZone 13b · No frost · 0 chill hours · 2,144 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  6. 6

    🇹🇭Chumphon↻Seasons flipped. Thailand

    Zone 13a · No frost · 0 chill hours · 79 in rainZone 13a · No frost · 0 chill hours · 1,999 mm rain

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

    97%match
  7. 7

    🇨🇴Apartadó↻Seasons flipped. Antioquia, Colombia

    Zone 13b · No frost · 0 chill hours · 90 in rainZone 13b · No frost · 0 chill hours · 2,282 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  8. 8

    🇮🇩Bandar LampungLampung, Indonesia

    Zone 13b · No frost · 0 chill hours · 84 in rainZone 13b · No frost · 0 chill hours · 2,134 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  9. 9

    🇮🇩CileungsirWest Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 97 in rainZone 13b · No frost · 0 chill hours · 2,458 mm rain

    Shares 18 of your 18 great-fit crops

    97%match
  10. 10

    🇮🇩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

    97%match
  11. 11

    🇮🇩PekalonganCentral Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 97 in rainZone 13a · No frost · 0 chill hours · 2,454 mm rain

    Shares 18 of your 18 great-fit crops

    96%match
  12. 12

    🇮🇩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

    96%match
  13. 13

    🇮🇩SengkangSouth Sulawesi, Indonesia

    Zone 13b · No frost · 0 chill hours · 73 in rainZone 13b · No frost · 0 chill hours · 1,857 mm rain

    Shares 18 of your 18 great-fit crops

    96%match
  14. 14

    🇮🇩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

    96%match
  15. 15

    🇮🇩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

    96%match
  16. 16

    🇮🇩KualakapuasCentral Kalimantan, Indonesia

    Zone 13b · No frost · 0 chill hours · 96 in rainZone 13b · No frost · 0 chill hours · 2,435 mm rain

    Shares 17 of your 18 great-fit crops

    96%match
  17. 17

    🇮🇩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

    96%match
  18. 18

    🇮🇩BekasiWest Java, Indonesia

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

    Shares 17 of your 18 great-fit crops

    96%match
  19. 19

    🇮🇩ManggarBangka–Belitung Islands, Indonesia

    Zone 13b · No frost · 0 chill hours · 99 in rainZone 13b · No frost · 0 chill hours · 2,516 mm rain

    Shares 18 of your 18 great-fit crops

    96%match
  20. 20

    🇹🇭Surat Thani↻Seasons flipped. Thailand

    Zone 13a · No frost · 0 chill hours · 68 in rainZone 13a · No frost · 0 chill hours · 1,730 mm rain

    Shares 17 of your 18 great-fit crops

    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 Majene: 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.