Climatch

Land with a climate like Kāmayakkavundanpatti

🇮🇳Kāmayakkavundanpatti, Tamil Nadu, India

The towns with the closest growing climate to Kāmayakkavundanpatti are Thenkasi, India (97% match), Kuniyamuttūr and Coimbatore. About 162,000 sq mi of land in 19 countries matches 80% or better, most of it in Tamil Nadu, India, Monagas, Venezuela and Bolívar, Venezuela.The towns with the closest growing climate to Kāmayakkavundanpatti are Thenkasi, India (97% match), Kuniyamuttūr and Coimbatore. About 420,000 km² of land in 19 countries matches 80% or better, most of it in Tamil Nadu, India, Monagas, Venezuela and Bolívar, Venezuela.

Your growing climate

Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,333 mm rain

What grows in Kāmayakkavundanpatti →

Regions with the most land like yours

  1. 1

    🇮🇳Tamil Nadu, India

    27k sq mi70k km² matching 80% or better

    For example Shenkottai (99), Vadakarai Kīl Pidāgai (99)

  2. 2

    🇻🇪Monagas, Venezuela

    7,400 sq mi19k km² matching 80% or better

    For example Barrancas (83), Caripito (83)

  3. 3

    🇻🇪Bolívar, Venezuela

    7,100 sq mi18k km² matching 80% or better

    For example Ciudad Piar (80), Ciudad Bolívar (75)

  4. 4

    🇹🇭Surat Thani, Thailand

    6,800 sq mi18k km² matching 80% or better

    For example Ban Na San (89), Tha Kham (86)

  5. 5

    🇻🇪Zulia, Venezuela

    6,800 sq mi18k km² matching 80% or better

    For example Machiques (84), Mene Grande (83)

  6. 6

    🇨🇴Cesar Department, Colombia

    6,500 sq mi17k km² matching 80% or better

    For example Agustín Codazzi (87), San Diego (85)

  7. 7

    🇨🇩Bas-Uele, Democratic Republic of the Congo

    5,700 sq mi15k km² matching 80% or better

    For example Bondo (83), Aketi (82)

  8. 8

    🇹🇭Prachuap Khiri Khan, Thailand

    3,200 sq mi8,300 km² matching 80% or better

    For example Prachuap Khiri Khan (84), Bang Saphan (82)

  9. 9

    🇹🇭Songkhla, Thailand

    3,000 sq mi7,700 km² matching 80% or better

    For example Sadao (84), Hat Yai (83)

  10. 10

    🇮🇩Central Java, Indonesia

    3,000 sq mi7,700 km² matching 80% or better

    For example Cepu (84), Blora (84)

  11. 11

    🇨🇩Tshopo, Democratic Republic of the Congo

    2,700 sq mi7,000 km² matching 80% or better

    For example Basoko (82), Kisangani (72)

  12. 12

    🇮🇩East Java, Indonesia

    2,700 sq mi6,900 km² matching 80% or better

    For example Madiun (86), Ngawi (85)

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

    🇮🇳ThenkasiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 55 in rainZone 13a · No frost · 0 chill hours · 1,404 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  2. 2

    🇮🇳KuniyamuttūrTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 44 in rainZone 12b · No frost · 0 chill hours · 1,110 mm rain

    Shares 16 of your 19 great-fit crops

    92%match
  3. 3

    🇮🇳CoimbatoreTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 39 in rainZone 12b · No frost · 0 chill hours · 995 mm rain

    Shares 16 of your 19 great-fit crops

    90%match
  4. 4

    🇮🇳Āchāripallam VāniyakudiTamil Nadu, India

    Zone 13b · No frost · 0 chill hours · 57 in rainZone 13b · No frost · 0 chill hours · 1,456 mm rain

    Shares 18 of your 19 great-fit crops

    90%match
  5. 5

    🇮🇳NāgercoilTamil Nadu, India

    Zone 13b · No frost · 0 chill hours · 55 in rainZone 13b · No frost · 0 chill hours · 1,405 mm rain

    Shares 18 of your 19 great-fit crops

    90%match
  6. 6

    🇮🇳UdumalaippettaiTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 33 in rainZone 12b · No frost · 0 chill hours · 837 mm rain

    Shares 15 of your 19 great-fit crops · Also great there: table and raisin grapes

    90%match
  7. 7

    🇻🇪PampánTrujillo, Venezuela

    Zone 13a · No frost · 0 chill hours · 49 in rainZone 13a · No frost · 0 chill hours · 1,255 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: macadamia

    90%match
  8. 8

    🇨🇴CúcutaNorte de Santander Department, Colombia

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,632 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: macadamia

    89%match
  9. 9

    🇻🇪HigueroteMiranda, Venezuela

    Zone 13a · No frost · 0 chill hours · 47 in rainZone 13a · No frost · 0 chill hours · 1,192 mm rain

    Shares 16 of your 19 great-fit crops

    89%match
  10. 10

    🇹🇭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 19 great-fit crops

    88%match
  11. 11

    🇮🇳NeyyāttinkaraKerala, India

    Zone 13b · No frost · 0 chill hours · 67 in rainZone 13b · No frost · 0 chill hours · 1,699 mm rain

    Shares 17 of your 19 great-fit crops

    88%match
  12. 12

    🇮🇳VadamaduraiTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 39 in rainZone 12b · No frost · 0 chill hours · 980 mm rain

    Shares 15 of your 19 great-fit crops

    88%match
  13. 13

    🇻🇪CaroraLara, Venezuela

    Zone 13a · No frost · 0 chill hours · 31 in rainZone 13a · No frost · 0 chill hours · 781 mm rain

    Shares 15 of your 19 great-fit crops · Also great there: table and raisin grapes

    88%match
  14. 14

    🇨🇴Agustín CodazziCesar Department, Colombia

    Zone 13a · No frost · 0 chill hours · 49 in rainZone 13a · No frost · 0 chill hours · 1,257 mm rain

    Shares 15 of your 19 great-fit crops

    87%match
  15. 15

    🇻🇪GüiriaSucre, Venezuela

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

    Shares 19 of your 19 great-fit crops · Also great there: macadamia

    86%match
  16. 16

    🇻🇪San FelipeYaracuy, Venezuela

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 995 mm rain

    Shares 16 of your 19 great-fit crops · Also great there: macadamia

    86%match
  17. 17

    🇮🇳DindigulTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 37 in rainZone 13a · No frost · 0 chill hours · 941 mm rain

    Shares 15 of your 19 great-fit crops

    86%match
  18. 18

    🇮🇳TiruvannamalaiTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 47 in rainZone 12b · No frost · 0 chill hours · 1,204 mm rain

    Shares 15 of your 19 great-fit crops

    86%match
  19. 19

    🇮🇩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 19 great-fit crops · Also great there: macadamia

    86%match
  20. 20

    🇻🇪CumanáSucre, Venezuela

    Zone 13a · No frost · 0 chill hours · 38 in rainZone 13a · No frost · 0 chill hours · 954 mm rain

    Shares 16 of your 19 great-fit crops

    85%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 Kāmayakkavundanpatti: 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.