Climatch

Land with a climate like Bodināyakkanūr

🇮🇳Bodināyakkanūr, Tamil Nadu, India

The towns with the closest growing climate to Bodināyakkanūr are Dindigul, India (96% match), Kadayanallur and Coimbatore. About 81,000 sq mi of land in 10 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 Bodināyakkanūr are Dindigul, India (96% match), Kadayanallur and Coimbatore. About 211,000 km² of land in 10 countries matches 80% or better, most of it in Tamil Nadu, India, Zulia, Venezuela and Cesar Department, Colombia.

Your growing climate

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

What grows in Bodināyakkanūr →

Regions with the most land like yours

  1. 1

    🇮🇳Tamil Nadu, India

    40k sq mi104k km² matching 80% or better

    For example V.S.K.Valasai (Dindigul-Dist.) (98), Adiyanuthu (98)

  2. 2

    🇻🇪Zulia, Venezuela

    6,800 sq mi18k km² matching 80% or better

    For example San Timoteo (84), Mene Grande (84)

  3. 3

    🇨🇴Cesar Department, Colombia

    5,300 sq mi14k km² matching 80% or better

    For example Agustín Codazzi (89), Valledupar (89)

  4. 4

    🇮🇳Andhra Pradesh, India

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

    For example Rāmāpuram (87), Chittoor (86)

  5. 5

    🇻🇪Falcón, Venezuela

    2,600 sq mi6,800 km² matching 80% or better

    For example Mene de Mauroa (85), Dabajuro (81)

  6. 6

    🇨🇴La Guajira Department, Colombia

    2,300 sq mi6,100 km² matching 80% or better

    For example Hatonuevo (88), Villanueva (87)

  7. 7

    🇹🇿Morogoro, Tanzania

    2,100 sq mi5,400 km² matching 80% or better

    For example Ngerengere (78), Kidodi (74)

  8. 8

    🇻🇪Anzoátegui, Venezuela

    2,100 sq mi5,300 km² matching 80% or better

    For example Lecherías (83), Puerto Píritu (83)

  9. 9

    🇨🇴Magdalena Department, Colombia

    1,800 sq mi4,600 km² matching 80% or better

    For example Nueva Granada (81), Chivolo (80)

  10. 10

    🇺🇬Western Region, Uganda

    1,500 sq mi3,900 km² matching 80% or better

    For example Masindi (64), Kigumba (57)

  11. 11

    🇰🇭Kampong Speu Province, Cambodia

    1,200 sq mi3,000 km² matching 80% or better

    For example Kampong Speu (84), Phumĭ Véal Tônsay (81)

  12. 12

    🇹🇿Pwani, Tanzania

    900 sq mi2,300 km² matching 80% or better

    For example Mlandizi (79), Mvomero (75)

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

    🇮🇳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 17 great-fit crops

    96%match
  2. 2

    🇮🇳KadayanallurTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,314 mm rain

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

    95%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 17 great-fit crops

    95%match
  4. 4

    🇮🇳ErodeTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 33 in rainZone 13a · No frost · 0 chill hours · 844 mm rain

    Shares 15 of your 17 great-fit crops

    94%match
  5. 5

    🇮🇳ParavaiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 42 in rainZone 13a · No frost · 0 chill hours · 1,056 mm rain

    Shares 16 of your 17 great-fit crops

    93%match
  6. 6

    🇮🇳VikramasingapuramTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 50 in rainZone 13a · No frost · 0 chill hours · 1,273 mm rain

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

    93%match
  7. 7

    🇮🇳SūleswaranpattiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 46 in rainZone 13a · No frost · 0 chill hours · 1,178 mm rain

    Shares 16 of your 17 great-fit crops

    93%match
  8. 8

    🇮🇳AtturTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,062 mm rain

    Shares 15 of your 17 great-fit crops

    92%match
  9. 9

    🇮🇳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 17 great-fit crops

    92%match
  10. 10

    🇮🇳MaduraiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 42 in rainZone 13a · No frost · 0 chill hours · 1,062 mm rain

    Shares 16 of your 17 great-fit crops

    92%match
  11. 11

    🇮🇳PerambalurTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 43 in rainZone 12b · No frost · 0 chill hours · 1,087 mm rain

    Shares 15 of your 17 great-fit crops

    92%match
  12. 12

    🇮🇳TiruppurTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 27 in rainZone 12b · No frost · 0 chill hours · 691 mm rain

    Shares 13 of your 17 great-fit crops · Also great there: table and raisin grapes

    91%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 17 great-fit crops · Also great there: table and raisin grapes

    91%match
  14. 14

    🇮🇳DharmapuriTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 39 in rainZone 12b · No frost · 0 chill hours · 982 mm rain

    Shares 15 of your 17 great-fit crops

    91%match
  15. 15

    🇮🇳SivakasiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 991 mm rain

    Shares 14 of your 17 great-fit crops

    91%match
  16. 16

    🇮🇳SalemTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 41 in rainZone 12b · No frost · 0 chill hours · 1,048 mm rain

    Shares 15 of your 17 great-fit crops

    90%match
  17. 17

    🇮🇳TiruchirappalliTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 36 in rainZone 13a · No frost · 0 chill hours · 920 mm rain

    Shares 15 of your 17 great-fit crops

    90%match
  18. 18

    🇮🇳PudukkottaiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 43 in rainZone 13a · No frost · 0 chill hours · 1,094 mm rain

    Shares 15 of your 17 great-fit crops

    90%match
  19. 19

    🇮🇳ThanjavurTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 43 in rainZone 13a · No frost · 0 chill hours · 1,091 mm rain

    Shares 15 of your 17 great-fit crops

    89%match
  20. 20

    🇮🇳KāraikkudiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 44 in rainZone 13a · No frost · 0 chill hours · 1,116 mm rain

    Shares 15 of your 17 great-fit crops

    89%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 Bodināyakkanūr: 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.