Climatch

Land with a climate like Kadayal

🇮🇳Kadayal, Tamil Nadu, India

The towns with the closest growing climate to Kadayal are Punalūr, India (95% match), Montería and Surat Thani. About 542,000 sq mi of land in 44 countries matches 80% or better, most of it in Zulia, Venezuela, Antioquia, Colombia and Southeast Sulawesi, Indonesia.The towns with the closest growing climate to Kadayal are Punalūr, India (95% match), Montería and Surat Thani. About 1.4 million km² of land in 44 countries matches 80% or better, most of it in Zulia, Venezuela, Antioquia, Colombia and Southeast Sulawesi, Indonesia.

Your growing climate

Zone 13b · No frost · 0 chill hours · 60 in rainZone 13b · No frost · 0 chill hours · 1,527 mm rain

What grows in Kadayal →

Regions with the most land like yours

  1. 1

    🇻🇪Zulia, Venezuela

    14k sq mi35k km² matching 80% or better

    For example San Timoteo (92), Machiques (92)

  2. 2

    🇨🇴Antioquia, Colombia

    12k sq mi31k km² matching 80% or better

    For example San Juan de Urabá (92), Turbo (92)

  3. 3

    🇮🇩Southeast Sulawesi, Indonesia

    11k sq mi29k km² matching 80% or better

    For example Baubau (89), Kendari (84)

  4. 4

    🇮🇩East Java, Indonesia

    11k sq mi28k km² matching 80% or better

    For example Ngawi (92), Madiun (91)

  5. 5

    🇮🇩Central Java, Indonesia

    9,800 sq mi25k km² matching 80% or better

    For example Cepu (92), Blora (92)

  6. 6

    🇨🇴Córdoba, Colombia

    8,600 sq mi22k km² matching 80% or better

    For example Montería (95), Cotorra (94)

  7. 7

    🇨🇴Cesar Department, Colombia

    8,300 sq mi21k km² matching 80% or better

    For example Pailitas (94), Curumaní (93)

  8. 8

    🇨🇮Bas-Sassandra District, Ivory Coast

    8,000 sq mi21k km² matching 80% or better

    For example Gligbeuadji (88), Gagny (88)

  9. 9

    🇹🇭Surat Thani, Thailand

    7,100 sq mi18k km² matching 80% or better

    For example Ban Na San (96), Tha Kham (95)

  10. 10

    🇮🇳Tamil Nadu, India

    6,800 sq mi18k km² matching 80% or better

    For example Kāmayakkavundanpatti (93), Cumbum (92)

  11. 11

    🇻🇪Monagas, Venezuela

    6,500 sq mi17k km² matching 80% or better

    For example Barrancas (87), Caripito (82)

  12. 12

    🇻🇳An Giang, Vietnam

    6,200 sq mi16k km² matching 80% or better

    For example Tịnh Biên (93), Châu Đốc (92)

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

    🇮🇳PunalūrKerala, India

    Zone 13b · No frost · 0 chill hours · 98 in rainZone 13b · No frost · 0 chill hours · 2,487 mm rain

    Shares 17 of your 17 great-fit crops

    95%match
  2. 2

    🇨🇴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 17 great-fit crops · Also great there: fig

    95%match
  3. 3

    🇹🇭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 17 great-fit crops

    95%match
  4. 4

    🇨🇴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

    94%match
  5. 5

    🇹🇭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

    94%match
  6. 6

    🇹🇭SadaoSongkhla, Thailand

    Zone 13b · No frost · 0 chill hours · 76 in rainZone 13b · No frost · 0 chill hours · 1,931 mm rain

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

    94%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 17 great-fit crops

    94%match
  8. 8

    🇹🇭Thung SongNakhon Si Thammarat, Thailand

    Zone 13b · No frost · 0 chill hours · 78 in rainZone 13b · No frost · 0 chill hours · 1,975 mm rain

    Shares 17 of your 17 great-fit crops

    94%match
  9. 9

    🇹🇭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 17 great-fit crops

    93%match
  10. 10

    🇨🇴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 17 great-fit crops

    93%match
  11. 11

    🇨🇴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 17 great-fit crops

    93%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 15 of your 17 great-fit crops · Also great there: fig

    93%match
  13. 13

    🇰🇭TakeoCambodia

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

    Shares 16 of your 17 great-fit crops · Also great there: fig

    93%match
  14. 14

    🇻🇪GüiriaSucre, Venezuela

    Zone 13a · No frost · 0 chill hours · 58 in rainZone 13a · No frost · 0 chill hours · 1,476 mm rain

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

    93%match
  15. 15

    🇱🇰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 17 great-fit crops

    92%match
  16. 16

    🇻🇪San TimoteoZulia, Venezuela

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

    Shares 15 of your 17 great-fit crops · Also great there: fig

    92%match
  17. 17

    🇵🇦PenonoméCoclé, Panama

    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 · Also great there: macadamia

    92%match
  18. 18

    🇮🇳CumbumTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 57 in rainZone 12b · No frost · 0 chill hours · 1,458 mm rain

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

    92%match
  19. 19

    🇮🇳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 17 great-fit crops

    92%match
  20. 20

    🇻🇪MachiquesZulia, Venezuela

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

    Shares 14 of your 17 great-fit crops · Also great there: fig

    92%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 Kadayal: 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.