Climatch

Land with a climate like Kīlattingal

🇮🇳Kīlattingal, Kerala, India

The towns with the closest growing climate to Kīlattingal are Alappuzha, India (99% match), Krabi and Colachel. About 685,000 sq mi of land in 26 countries matches 80% or better, most of it in Central Kalimantan, Indonesia, Central Java, Indonesia and Antioquia, Colombia.The towns with the closest growing climate to Kīlattingal are Alappuzha, India (99% match), Krabi and Colachel. About 1.8 million km² of land in 26 countries matches 80% or better, most of it in Central Kalimantan, Indonesia, Central Java, Indonesia and Antioquia, Colombia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 92 in rainZone 13b · No frost · 0 chill hours · 2,329 mm rain

What grows in Kīlattingal →

Regions with the most land like yours

  1. 1

    🇮🇩Central Kalimantan, Indonesia

    16k sq mi41k km² matching 80% or better

    For example Kualakapuas (90), Palangkaraya (87)

  2. 2

    🇮🇩Central Java, Indonesia

    15k sq mi38k km² matching 80% or better

    For example Purwodadi (96), Mranggen (96)

  3. 3

    🇨🇴Antioquia, Colombia

    14k sq mi36k km² matching 80% or better

    For example Turbo (93), Caucasia (92)

  4. 4

    🇮🇩South Sumatra, Indonesia

    14k sq mi36k km² matching 80% or better

    For example Indralaya (85), Palembang (84)

  5. 5

    🇮🇳Kerala, India

    11k sq mi29k km² matching 80% or better

    For example Kumārapuram (99), Haripād (99)

  6. 6

    🇨🇴Vichada Department, Colombia

    11k sq mi29k km² matching 80% or better

    For example Cumaribo (91), Puerto Carreño (86)

  7. 7

    🇻🇪Bolívar, Venezuela

    8,600 sq mi22k km² matching 80% or better

    For example La Paragua (82), Ciudad Piar (77)

  8. 8

    🇨🇴Córdoba, Colombia

    8,600 sq mi22k km² matching 80% or better

    For example Tierralta (96), Ayapel (94)

  9. 9

    🇻🇪Zulia, Venezuela

    7,700 sq mi20k km² matching 80% or better

    For example Machiques (84), Casigua El Cubo (84)

  10. 10

    🇻🇳An Giang, Vietnam

    7,400 sq mi19k km² matching 80% or better

    For example Hà Tiên (95), Hàm Ninh (93)

  11. 11

    🇨🇮Bas-Sassandra District, Ivory Coast

    7,100 sq mi19k km² matching 80% or better

    For example Gagny (88), Watté (88)

  12. 12

    🇻🇪Apure, Venezuela

    7,100 sq mi18k km² matching 80% or better

    For example Guasdualito (85), Elorza (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

    🇮🇳AlappuzhaKerala, India

    Zone 13b · No frost · 0 chill hours · 136 in rainZone 13b · No frost · 0 chill hours · 3,445 mm rain

    Shares 13 of your 17 great-fit crops

    99%match
  2. 2

    🇹🇭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 17 great-fit crops

    97%match
  3. 3

    🇮🇳ColachelTamil Nadu, India

    Zone 13b · No frost · 0 chill hours · 60 in rainZone 13b · No frost · 0 chill hours · 1,526 mm rain

    Shares 17 of your 17 great-fit crops

    97%match
  4. 4

    🇮🇳ThodupuzhaKerala, India

    Zone 13b · No frost · 0 chill hours · 136 in rainZone 13b · No frost · 0 chill hours · 3,463 mm rain

    Shares 13 of your 17 great-fit crops

    97%match
  5. 5

    🇨🇴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 17 great-fit crops

    96%match
  6. 6

    🇮🇩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 17 of your 17 great-fit crops · Also great there: macadamia

    96%match
  7. 7

    🇹🇭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 17 great-fit crops

    96%match
  8. 8

    🇮🇳KanayannurKerala, India

    Zone 13b · No frost · 0 chill hours · 135 in rainZone 13b · No frost · 0 chill hours · 3,435 mm rain

    Shares 12 of your 17 great-fit crops

    96%match
  9. 9

    🇻🇳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 17 of your 17 great-fit crops · Also great there: macadamia

    95%match
  10. 10

    🇮🇩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 17 great-fit crops

    95%match
  11. 11

    🇹🇭Ban Na SanSurat Thani, Thailand

    Zone 13a · No frost · 0 chill hours · 76 in rainZone 13a · No frost · 0 chill hours · 1,929 mm rain

    Shares 17 of your 17 great-fit crops

    95%match
  12. 12

    🇰🇭KampotCambodia

    Zone 13b · No frost · 0 chill hours · 118 in rainZone 13b · No frost · 0 chill hours · 2,988 mm rain

    Shares 15 of your 17 great-fit crops

    94%match
  13. 13

    🇨🇴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 17 great-fit crops

    94%match
  14. 14

    🇨🇴San MarcosSucre Department, Colombia

    Zone 13b · No frost · 0 chill hours · 79 in rainZone 13b · No frost · 0 chill hours · 2,016 mm rain

    Shares 15 of your 17 great-fit crops

    94%match
  15. 15

    🇨🇴TiquisioBolívar, Colombia

    Zone 13b · No frost · 0 chill hours · 101 in rainZone 13b · No frost · 0 chill hours · 2,564 mm rain

    Shares 15 of your 17 great-fit crops

    94%match
  16. 16

    🇮🇩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 17 of your 17 great-fit crops · Also great there: macadamia

    94%match
  17. 17

    🇮🇩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 17 of your 17 great-fit crops · Also great there: macadamia

    94%match
  18. 18

    🇮🇩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 17 of your 17 great-fit crops · Also great there: macadamia

    94%match
  19. 19

    🇮🇩Majenang↻Seasons flipped. Central Java, Indonesia

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

    Shares 16 of your 17 great-fit crops · Also great there: strawberry, macadamia

    93%match
  20. 20

    🇨🇴MontelíbanoCórdoba, Colombia

    Zone 13b · No frost · 0 chill hours · 84 in rainZone 13b · No frost · 0 chill hours · 2,131 mm rain

    Shares 15 of your 17 great-fit crops

    93%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 Kīlattingal: 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.