Climatch

Land with a climate like Kanjiramkulam

🇮🇳Kanjiramkulam, Kerala, India

The towns with the closest growing climate to Kanjiramkulam are Kollam, India (97% match), Tierralta and San Juan de Urabá. About 687,000 sq mi of land in 36 countries matches 80% or better, most of it in East Java, Indonesia, Antioquia, Colombia and Central Java, Indonesia.The towns with the closest growing climate to Kanjiramkulam are Kollam, India (97% match), Tierralta and San Juan de Urabá. About 1.8 million km² of land in 36 countries matches 80% or better, most of it in East Java, Indonesia, Antioquia, Colombia and Central Java, Indonesia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 69 in rainZone 13b · No frost · 0 chill hours · 1,748 mm rain

What grows in Kanjiramkulam →

Regions with the most land like yours

  1. 1

    🇮🇩East Java, Indonesia

    16k sq mi41k km² matching 80% or better

    For example Ngawi (93), Bangkalan (93)

  2. 2

    🇨🇴Antioquia, Colombia

    13k sq mi35k km² matching 80% or better

    For example San Juan de Urabá (96), Turbo (94)

  3. 3

    🇮🇩Central Java, Indonesia

    13k sq mi34k km² matching 80% or better

    For example Purwodadi (93), Juwana (93)

  4. 4

    🇻🇪Zulia, Venezuela

    11k sq mi30k km² matching 80% or better

    For example Machiques (91), San Timoteo (89)

  5. 5

    🇨🇮Bas-Sassandra District, Ivory Coast

    11k sq mi29k km² matching 80% or better

    For example Gagny (91), Watté (91)

  6. 6

    🇮🇩Southeast Sulawesi, Indonesia

    9,800 sq mi25k km² matching 80% or better

    For example Baubau (89), Kendari (81)

  7. 7

    🇵🇭Mimaropa, Philippines

    9,100 sq mi24k km² matching 80% or better

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

  8. 8

    🇨🇴Córdoba, Colombia

    8,600 sq mi22k km² matching 80% or better

    For example Tierralta (97), Montería (95)

  9. 9

    🇨🇴Cesar Department, Colombia

    8,300 sq mi21k km² matching 80% or better

    For example Pailitas (95), Curumaní (92)

  10. 10

    🇮🇳Kerala, India

    8,000 sq mi21k km² matching 80% or better

    For example Kollam (97), Tirkadavūr (96)

  11. 11

    🇻🇳An Giang, Vietnam

    7,700 sq mi20k km² matching 80% or better

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

  12. 12

    🇻🇪Bolívar, Venezuela

    7,400 sq mi19k km² matching 80% or better

    For example La Paragua (79), Ciudad Piar (78)

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

    🇮🇳KollamKerala, India

    Zone 13b · No frost · 0 chill hours · 110 in rainZone 13b · No frost · 0 chill hours · 2,786 mm rain

    Shares 15 of your 18 great-fit crops

    97%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

    🇨🇴San Juan de UrabáAntioquia, Colombia

    Zone 13b · No frost · 0 chill hours · 60 in rainZone 13b · No frost · 0 chill hours · 1,533 mm rain

    Shares 18 of your 18 great-fit crops

    96%match
  4. 4

    🇹🇭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

    96%match
  5. 5

    🇨🇴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

    96%match
  6. 6

    🇵🇦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
  7. 7

    🇨🇴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
  8. 8

    🇨🇴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
  9. 9

    🇨🇴TurboAntioquia, Colombia

    Zone 13b · No frost · 0 chill hours · 81 in rainZone 13b · No frost · 0 chill hours · 2,055 mm rain

    Shares 18 of your 18 great-fit crops

    94%match
  10. 10

    🇨🇴GuamalMagdalena Department, Colombia

    Zone 13b · No frost · 0 chill hours · 67 in rainZone 13b · No frost · 0 chill hours · 1,695 mm rain

    Shares 15 of your 18 great-fit crops

    94%match
  11. 11

    🇻🇳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
  12. 12

    🇮🇩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

    93%match
  13. 13

    🇮🇩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

    93%match
  14. 14

    🇨🇴LoricaCórdoba, Colombia

    Zone 13b · No frost · 0 chill hours · 50 in rainZone 13b · No frost · 0 chill hours · 1,258 mm rain

    Shares 15 of your 18 great-fit crops · Also great there: fig

    93%match
  15. 15

    🇮🇩Blora↻Seasons flipped. Central 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

    93%match
  16. 16

    🇹🇭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

    93%match
  17. 17

    🇨🇴SincelejoSucre Department, Colombia

    Zone 13b · No frost · 0 chill hours · 47 in rainZone 13b · No frost · 0 chill hours · 1,184 mm rain

    Shares 15 of your 18 great-fit crops · Also great there: fig

    93%match
  18. 18

    🇮🇩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

    93%match
  19. 19

    🇵🇦La ChorreraPanamá Oeste Province, Panama

    Zone 13b · No frost · 0 chill hours · 86 in rainZone 13b · No frost · 0 chill hours · 2,178 mm rain

    Shares 18 of your 18 great-fit crops

    93%match
  20. 20

    🇮🇩Rembangan↻Seasons flipped. Central Java, Indonesia

    Zone 13b · No frost · 0 chill hours · 58 in rainZone 13b · No frost · 0 chill hours · 1,481 mm rain

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

    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 Kanjiramkulam: 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.