Climatch

Land with a climate like Kulathummal

🇮🇳Kulathummal, Kerala, India

The towns with the closest growing climate to Kulathummal are Krabi, Thailand (98% match), Tierralta and Purwodadi. About 827,000 sq mi of land in 40 countries matches 80% or better, most of it in Central Kalimantan, Indonesia, East Java, Indonesia and Bolívar, Venezuela.The towns with the closest growing climate to Kulathummal are Krabi, Thailand (98% match), Tierralta and Purwodadi. About 2.1 million km² of land in 40 countries matches 80% or better, most of it in Central Kalimantan, Indonesia, East Java, Indonesia and Bolívar, Venezuela.

Your growing climate

Zone 13b · No frost · 0 chill hours · 73 in rainZone 13b · No frost · 0 chill hours · 1,852 mm rain

What grows in Kulathummal →

Regions with the most land like yours

  1. 1

    🇮🇩Central Kalimantan, Indonesia

    17k sq mi44k km² matching 80% or better

    For example Kualakapuas (90), Palangkaraya (87)

  2. 2

    🇮🇩East Java, Indonesia

    16k sq mi42k km² matching 80% or better

    For example Ngawi (96), Ponorogo (94)

  3. 3

    🇻🇪Bolívar, Venezuela

    16k sq mi41k km² matching 80% or better

    For example La Paragua (83), Ciudad Piar (81)

  4. 4

    🇨🇴Antioquia, Colombia

    15k sq mi38k km² matching 80% or better

    For example Turbo (95), San Juan de Urabá (93)

  5. 5

    🇮🇩Central Java, Indonesia

    14k sq mi37k km² matching 80% or better

    For example Purwodadi (96), Mranggen (96)

  6. 6

    🇻🇪Zulia, Venezuela

    11k sq mi30k km² matching 80% or better

    For example Machiques (90), Caja Seca (90)

  7. 7

    🇨🇮Bas-Sassandra District, Ivory Coast

    11k sq mi29k km² matching 80% or better

    For example Gagny (91), Watté (91)

  8. 8

    🇵🇭Mimaropa, Philippines

    9,700 sq mi25k km² matching 80% or better

    For example Puerto Princesa (88), Narra (87)

  9. 9

    🇨🇴Vichada Department, Colombia

    9,500 sq mi25k km² matching 80% or better

    For example Cumaribo (87), Puerto Carreño (81)

  10. 10

    🇨🇴Córdoba, Colombia

    8,900 sq mi23k km² matching 80% or better

    For example Tierralta (97), Montería (95)

  11. 11

    🇮🇳Kerala, India

    8,000 sq mi21k km² matching 80% or better

    For example Chavara (97), Ponmana (97)

  12. 12

    🇻🇳An Giang, Vietnam

    7,700 sq mi20k km² matching 80% or better

    For example Hà Tiên (94), Tịnh Biên (93)

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

    🇹🇭KrabiThailand

    Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,120 mm rain

    Shares 17 of your 18 great-fit crops

    98%match
  2. 2

    🇨🇴TierraltaCórdoba, Colombia

    Zone 13b · No frost · 0 chill hours · 70 in rainZone 13b · No frost · 0 chill hours · 1,780 mm rain

    Shares 17 of your 18 great-fit crops

    97%match
  3. 3

    🇮🇩Purwodadi↻Seasons flipped. Central 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

    96%match
  4. 4

    🇹🇭PhuketThailand

    Zone 13b · No frost · 0 chill hours · 93 in rainZone 13b · No frost · 0 chill hours · 2,353 mm rain

    Shares 17 of your 18 great-fit crops

    96%match
  5. 5

    🇮🇩Parepare↻Seasons flipped. South 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

    96%match
  6. 6

    🇮🇳PathanāmthittaKerala, India

    Zone 13b · No frost · 0 chill hours · 120 in rainZone 13b · No frost · 0 chill hours · 3,060 mm rain

    Shares 15 of your 18 great-fit crops

    95%match
  7. 7

    🇨🇴MaganguéBolívar, Colombia

    Zone 13b · No frost · 0 chill hours · 64 in rainZone 13b · No frost · 0 chill hours · 1,627 mm rain

    Shares 15 of your 18 great-fit crops

    95%match
  8. 8

    🇨🇴MonteríaCórdoba, Colombia

    Zone 13b · No frost · 0 chill hours · 55 in rainZone 13b · No frost · 0 chill hours · 1,400 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: fig

    95%match
  9. 9

    🇵🇦PenonoméCoclé, Panama

    Zone 13b · No frost · 0 chill hours · 83 in rainZone 13b · No frost · 0 chill hours · 2,120 mm rain

    Shares 18 of your 18 great-fit crops

    95%match
  10. 10

    🇨🇴Planeta RicaCórdoba, Colombia

    Zone 13b · No frost · 0 chill hours · 62 in rainZone 13b · No frost · 0 chill hours · 1,569 mm rain

    Shares 16 of your 18 great-fit crops

    94%match
  11. 11

    🇹🇭Lang SuanChumphon, 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

    94%match
  12. 12

    🇮🇩Semarang↻Seasons flipped. Central 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

    94%match
  13. 13

    🇮🇩Madiun↻Seasons flipped. East 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

    94%match
  14. 14

    🇮🇩Bangkalan↻Seasons flipped. East 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

    94%match
  15. 15

    🇹🇭Surat ThaniThailand

    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

    94%match
  16. 16

    🇮🇩Majene↻Seasons flipped. West 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

    94%match
  17. 17

    🇻🇳Hà TiênAn Giang, Vietnam

    Zone 13b · No frost · 0 chill hours · 75 in rainZone 13b · No frost · 0 chill hours · 1,917 mm rain

    Shares 18 of your 18 great-fit crops

    94%match
  18. 18

    🇮🇩Bojonegoro↻Seasons flipped. East 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

    94%match
  19. 19

    🇮🇩Surakarta↻Seasons flipped. Central 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

    94%match
  20. 20

    🇮🇩Polewali↻Seasons flipped. West 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

    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 Kulathummal: 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.