Climatch

Land with a climate like Kanniyākumāri

🇮🇳Kanniyākumāri, Tamil Nadu, India

The towns with the closest growing climate to Kanniyākumāri are Thiruvananthapuram, India (96% match), San Timoteo and Montería. About 231,000 sq mi of land in 26 countries matches 80% or better, most of it in Tamil Nadu, India, Zulia, Venezuela and Cesar Department, Colombia.The towns with the closest growing climate to Kanniyākumāri are Thiruvananthapuram, India (96% match), San Timoteo and Montería. About 597,000 km² of land in 26 countries matches 80% or better, most of it in Tamil Nadu, India, Zulia, Venezuela and Cesar Department, Colombia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 53 in rainZone 13b · No frost · 0 chill hours · 1,354 mm rain

What grows in Kanniyākumāri →

Regions with the most land like yours

  1. 1

    🇮🇳Tamil Nadu, India

    14k sq mi36k km² matching 80% or better

    For example Shenkottai (93), Vadakarai Kīl Pidāgai (92)

  2. 2

    🇻🇪Zulia, Venezuela

    13k sq mi33k km² matching 80% or better

    For example San Timoteo (93), Mene Grande (90)

  3. 3

    🇨🇴Cesar Department, Colombia

    7,700 sq mi20k km² matching 80% or better

    For example Pailitas (90), Curumaní (90)

  4. 4

    🇨🇴Córdoba, Colombia

    7,100 sq mi18k km² matching 80% or better

    For example Cotorra (93), Montería (93)

  5. 5

    🇨🇴Bolívar, Colombia

    6,800 sq mi18k km² matching 80% or better

    For example Magangué (91), Cartagena (90)

  6. 6

    🇮🇩Southeast Sulawesi, Indonesia

    6,300 sq mi16k km² matching 80% or better

    For example Baubau (82), Raha (79)

  7. 7

    🇹🇭Surat Thani, Thailand

    5,900 sq mi15k km² matching 80% or better

    For example Surat Thani (90), Tha Kham (90)

  8. 8

    🇻🇳An Giang, Vietnam

    4,400 sq mi11k km² matching 80% or better

    For example Tịnh Biên (91), Châu Đốc (90)

  9. 9

    🇮🇩South Papua, Indonesia

    3,800 sq mi10,000 km² matching 80% or better

    For example Merauke (80)

  10. 10

    🇻🇪Falcón, Venezuela

    3,800 sq mi9,900 km² matching 80% or better

    For example Mene de Mauroa (86), Tucacas (86)

  11. 11

    🇹🇭Trang, Thailand

    3,600 sq mi9,200 km² matching 80% or better

    For example Huai Yot (84), Trang (83)

  12. 12

    🇹🇭Nakhon Si Thammarat, Thailand

    3,600 sq mi9,200 km² matching 80% or better

    For example Thung Song (86), Ron Phibun (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

    🇮🇳ThiruvananthapuramKerala, India

    Zone 13b · No frost · 0 chill hours · 75 in rainZone 13b · No frost · 0 chill hours · 1,906 mm rain

    Shares 17 of your 18 great-fit crops

    96%match
  2. 2

    🇻🇪San TimoteoZulia, Venezuela

    Zone 13b · No frost · 0 chill hours · 40 in rainZone 13b · No frost · 0 chill hours · 1,019 mm rain

    Shares 16 of your 18 great-fit crops

    93%match
  3. 3

    🇨🇴MonteríaCórdoba, Colombia

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

    Shares 17 of your 18 great-fit crops

    93%match
  4. 4

    🇨🇴San OnofreSucre Department, Colombia

    Zone 13b · No frost · 0 chill hours · 47 in rainZone 13b · No frost · 0 chill hours · 1,205 mm rain

    Shares 14 of your 18 great-fit crops

    92%match
  5. 5

    🇱🇰ChilawNorth Western Province, Sri Lanka

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,685 mm rain

    Shares 17 of your 18 great-fit crops

    91%match
  6. 6

    🇨🇴LoricaCórdoba, Colombia

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

    Shares 16 of your 18 great-fit crops

    91%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

    91%match
  8. 8

    🇹🇭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

    90%match
  9. 9

    🇨🇴CurumaníCesar Department, Colombia

    Zone 13b · No frost · 0 chill hours · 61 in rainZone 13b · No frost · 0 chill hours · 1,554 mm rain

    Shares 15 of your 18 great-fit crops

    90%match
  10. 10

    🇰🇭TakeoCambodia

    Zone 13b · No frost · 0 chill hours · 55 in rainZone 13b · No frost · 0 chill hours · 1,388 mm rain

    Shares 17 of your 18 great-fit crops

    90%match
  11. 11

    🇨🇴CartagenaBolívar, Colombia

    Zone 13b · No frost · 0 chill hours · 38 in rainZone 13b · No frost · 0 chill hours · 953 mm rain

    Shares 15 of your 18 great-fit crops

    90%match
  12. 12

    🇨🇴SincelejoSucre Department, Colombia

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

    Shares 16 of your 18 great-fit crops

    90%match
  13. 13

    🇨🇴El BancoMagdalena Department, Colombia

    Zone 13b · No frost · 0 chill hours · 71 in rainZone 13b · No frost · 0 chill hours · 1,791 mm rain

    Shares 15 of your 18 great-fit crops

    90%match
  14. 14

    🇻🇪MachiquesZulia, Venezuela

    Zone 13a · No frost · 0 chill hours · 48 in rainZone 13a · No frost · 0 chill hours · 1,214 mm rain

    Shares 15 of your 18 great-fit crops

    90%match
  15. 15

    🇨🇴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 17 of your 18 great-fit crops · Also great there: macadamia

    90%match
  16. 16

    🇨🇴SahagúnCórdoba, Colombia

    Zone 13b · No frost · 0 chill hours · 49 in rainZone 13b · No frost · 0 chill hours · 1,249 mm rain

    Shares 15 of your 18 great-fit crops

    89%match
  17. 17

    🇻🇳Tân ChâuAn Giang, Vietnam

    Zone 13b · No frost · 0 chill hours · 52 in rainZone 13b · No frost · 0 chill hours · 1,323 mm rain

    Shares 16 of your 18 great-fit crops

    89%match
  18. 18

    🇨🇴PlatoMagdalena Department, Colombia

    Zone 13b · No frost · 0 chill hours · 52 in rainZone 13b · No frost · 0 chill hours · 1,319 mm rain

    Shares 15 of your 18 great-fit crops

    89%match
  19. 19

    🇻🇪Puerto CabelloCarabobo, Venezuela

    Zone 13b · No frost · 0 chill hours · 35 in rainZone 13b · No frost · 0 chill hours · 898 mm rain

    Shares 14 of your 18 great-fit crops

    88%match
  20. 20

    🇨🇴La Jagua de IbiricoCesar Department, Colombia

    Zone 13b · No frost · 0 chill hours · 58 in rainZone 13b · No frost · 0 chill hours · 1,472 mm rain

    Shares 16 of your 18 great-fit crops

    88%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 Kanniyākumāri: 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.