Climatch

Land with a climate like Vadakarai Kīl Pidāgai

🇮🇳Vadakarai Kīl Pidāgai, Tamil Nadu, India

The towns with the closest growing climate to Vadakarai Kīl Pidāgai are Pānakkudi, India (98% match), Bodināyakkanūr and Thung Song. About 134,000 sq mi of land in 19 countries matches 80% or better, most of it in Tamil Nadu, India, Zulia, Venezuela and Surat Thani, Thailand.The towns with the closest growing climate to Vadakarai Kīl Pidāgai are Pānakkudi, India (98% match), Bodināyakkanūr and Thung Song. About 348,000 km² of land in 19 countries matches 80% or better, most of it in Tamil Nadu, India, Zulia, Venezuela and Surat Thani, Thailand.

Your growing climate

Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,486 mm rain

What grows in Vadakarai Kīl Pidāgai →

Regions with the most land like yours

  1. 1

    🇮🇳Tamil Nadu, India

    18k sq mi47k km² matching 80% or better

    For example Kāmayakkavundanpatti (99), Aramboli (98)

  2. 2

    🇻🇪Zulia, Venezuela

    8,900 sq mi23k km² matching 80% or better

    For example Pueblo Nuevo El Chivo (86), Encontrados (86)

  3. 3

    🇹🇭Surat Thani, Thailand

    7,100 sq mi18k km² matching 80% or better

    For example Ko Samui (91), Ban Na San (90)

  4. 4

    🇮🇩Southeast Sulawesi, Indonesia

    6,300 sq mi16k km² matching 80% or better

    For example Kendari (82), Baubau (80)

  5. 5

    🇮🇩Central Sulawesi, Indonesia

    4,200 sq mi11k km² matching 80% or better

    For example Palu (79), Poso (72)

  6. 6

    🇹🇭Nakhon Si Thammarat, Thailand

    4,100 sq mi11k km² matching 80% or better

    For example Thung Song (92), Ron Phibun (89)

  7. 7

    🇹🇭Trang, Thailand

    3,900 sq mi10,000 km² matching 80% or better

    For example Huai Yot (89), Trang (88)

  8. 8

    🇨🇴Cesar Department, Colombia

    3,500 sq mi9,200 km² matching 80% or better

    For example Aguachica (86), Curumaní (83)

  9. 9

    🇮🇩South Sulawesi, Indonesia

    3,300 sq mi8,500 km² matching 80% or better

    For example Sengkang (87), Watampone (81)

  10. 10

    🇻🇪Monagas, Venezuela

    3,200 sq mi8,400 km² matching 80% or better

    For example Barrancas (81), Caripito (79)

  11. 11

    🇨🇴Tolima Department, Colombia

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

    For example Honda (91), San Sebastián de Mariquita (86)

  12. 12

    🇹🇹Point Fortin, Trinidad and Tobago

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

    For example Point Fortin (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

    🇮🇳PānakkudiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 51 in rainZone 13a · No frost · 0 chill hours · 1,300 mm rain

    Shares 17 of your 19 great-fit crops

    98%match
  2. 2

    🇮🇳BodināyakkanūrTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 40 in rainZone 13a · No frost · 0 chill hours · 1,020 mm rain

    Shares 17 of your 19 great-fit crops

    94%match
  3. 3

    🇹🇭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

    92%match
  4. 4

    🇹🇭Hat YaiSongkhla, Thailand

    Zone 13b · No frost · 0 chill hours · 74 in rainZone 13b · No frost · 0 chill hours · 1,879 mm rain

    Shares 17 of your 19 great-fit crops

    92%match
  5. 5

    🇹🇭Ko SamuiSurat Thani, Thailand

    Zone 13b · No frost · 0 chill hours · 67 in rainZone 13b · No frost · 0 chill hours · 1,712 mm rain

    Shares 18 of your 19 great-fit crops

    91%match
  6. 6

    🇹🇭YalaThailand

    Zone 13b · No frost · 0 chill hours · 77 in rainZone 13b · No frost · 0 chill hours · 1,966 mm rain

    Shares 17 of your 19 great-fit crops

    91%match
  7. 7

    🇮🇳VathirairuppuTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 38 in rainZone 13a · No frost · 0 chill hours · 976 mm rain

    Shares 15 of your 19 great-fit crops

    91%match
  8. 8

    🇹🇭PhatthalungThailand

    Zone 13b · No frost · 0 chill hours · 88 in rainZone 13b · No frost · 0 chill hours · 2,243 mm rain

    Shares 16 of your 19 great-fit crops

    90%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

    90%match
  10. 10

    🇹🇭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 19 great-fit crops

    90%match
  11. 11

    🇮🇳AthiyannurKerala, India

    Zone 13b · No frost · 0 chill hours · 69 in rainZone 13b · No frost · 0 chill hours · 1,761 mm rain

    Shares 17 of your 19 great-fit crops

    90%match
  12. 12

    🇱🇰KurunegalaNorth Western Province, Sri Lanka

    Zone 13a · No frost · 0 chill hours · 89 in rainZone 13a · No frost · 0 chill hours · 2,266 mm rain

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

    89%match
  13. 13

    🇨🇴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
  14. 14

    🇻🇪El VigíaMérida, Venezuela

    Zone 13b · No frost · 0 chill hours · 66 in rainZone 13b · No frost · 0 chill hours · 1,672 mm rain

    Shares 17 of your 19 great-fit crops

    88%match
  15. 15

    🇹🇭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 19 great-fit crops · Also great there: macadamia

    88%match
  16. 16

    🇨🇴La DoradaCaldas Department, Colombia

    Zone 13b · No frost · 0 chill hours · 81 in rainZone 13b · No frost · 0 chill hours · 2,068 mm rain

    Shares 15 of your 19 great-fit crops

    88%match
  17. 17

    🇹🇭TrangThailand

    Zone 13b · No frost · 0 chill hours · 85 in rainZone 13b · No frost · 0 chill hours · 2,153 mm rain

    Shares 15 of your 19 great-fit crops

    88%match
  18. 18

    🇹🇭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 19 great-fit crops

    87%match
  19. 19

    🇻🇪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

    87%match
  20. 20

    🇹🇭Nakhon Si ThammaratThailand

    Zone 13b · No frost · 0 chill hours · 90 in rainZone 13b · No frost · 0 chill hours · 2,276 mm rain

    Shares 17 of your 19 great-fit crops

    87%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 Vadakarai Kīl Pidāgai: 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.