Climatch

Land with a climate like Vīrnūr

🇮🇳Vīrnūr, Tamil Nadu, India

The towns with the closest growing climate to Vīrnūr are Sathyamangalam, India (99% match), Krishnagiri and Nāmakkal. About 171,000 sq mi of land in 12 countries matches 80% or better, most of it in Tamil Nadu, India, Andhra Pradesh, India and Maranhão, Brazil.The towns with the closest growing climate to Vīrnūr are Sathyamangalam, India (99% match), Krishnagiri and Nāmakkal. About 442,000 km² of land in 12 countries matches 80% or better, most of it in Tamil Nadu, India, Andhra Pradesh, India and Maranhão, Brazil.

Your growing climate

Zone 12b · No frost · 0 chill hours · 39 in rainZone 12b · No frost · 0 chill hours · 1,000 mm rain

What grows in Vīrnūr →

Regions with the most land like yours

  1. 1

    🇮🇳Tamil Nadu, India

    35k sq mi90k km² matching 80% or better

    For example Ūttangarai (99), Tirupattur (99)

  2. 2

    🇮🇳Andhra Pradesh, India

    23k sq mi60k km² matching 80% or better

    For example Chittoor (97), Rāmāpuram (96)

  3. 3

    🇧🇷Maranhão, Brazil

    15k sq mi38k km² matching 80% or better

    For example Parnarama (85), Matões (85)

  4. 4

    🇧🇷Piauí, Brazil

    10k sq mi27k km² matching 80% or better

    For example Regeneração (85), Demerval Lobão (84)

  5. 5

    🇨🇴Cesar Department, Colombia

    5,300 sq mi14k km² matching 80% or better

    For example Valledupar (91), San Diego (88)

  6. 6

    🇰🇭Kampong Thom, Cambodia

    5,000 sq mi13k km² matching 80% or better

    For example Phumĭ Tnaôt (89), Kampong Thom (86)

  7. 7

    🇨🇴Magdalena Department, Colombia

    4,400 sq mi11k km² matching 80% or better

    For example Fundación (86), Pivijay (86)

  8. 8

    🇨🇴La Guajira Department, Colombia

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

    For example Fonseca (91), Albania (90)

  9. 9

    🇻🇪Portuguesa, Venezuela

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

    For example San Rafael de Onoto (84), Araure (81)

  10. 10

    🇻🇪Cojedes, Venezuela

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

    For example San Carlos (84), Tinaco (83)

  11. 11

    🇮🇳Karnataka, India

    2,900 sq mi7,600 km² matching 80% or better

    For example Kanakapura (85), Malavalli (84)

  12. 12

    🇰🇭Siem Reap, Cambodia

    2,900 sq mi7,500 km² matching 80% or better

    For example Siem Reap (88), Yeang (87)

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

    🇮🇳SathyamangalamTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 32 in rainZone 12b · No frost · 0 chill hours · 820 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  2. 2

    🇮🇳KrishnagiriTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 35 in rainZone 12b · No frost · 0 chill hours · 883 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  3. 3

    🇮🇳NāmakkalTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 35 in rainZone 13a · No frost · 0 chill hours · 887 mm rain

    Shares 15 of your 15 great-fit crops

    98%match
  4. 4

    🇮🇳AmburTamil Nadu, India

    Zone 12a · No frost · 0 chill hours · 37 in rainZone 12a · No frost · 0 chill hours · 943 mm rain

    Shares 15 of your 15 great-fit crops

    98%match
  5. 5

    🇮🇳CoimbatoreTamil Nadu, India

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

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

    98%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 15 great-fit crops · Also great there: table and raisin grapes

    98%match
  7. 7

    🇮🇳ChengamTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 43 in rainZone 12b · No frost · 0 chill hours · 1,084 mm rain

    Shares 15 of your 15 great-fit crops

    98%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 15 great-fit crops

    97%match
  9. 9

    🇮🇳VelloreTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 42 in rainZone 12b · No frost · 0 chill hours · 1,070 mm rain

    Shares 15 of your 15 great-fit crops

    97%match
  10. 10

    🇮🇳SivagiriTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 28 in rainZone 12b · No frost · 0 chill hours · 715 mm rain

    Shares 14 of your 15 great-fit crops

    96%match
  11. 11

    🇮🇳PolūrTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,158 mm rain

    Shares 15 of your 15 great-fit crops

    95%match
  12. 12

    🇮🇳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 15 great-fit crops

    94%match
  13. 13

    🇮🇳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 15 great-fit crops · Also great there: table and raisin grapes

    94%match
  14. 14

    🇮🇳PīleruAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 768 mm rain

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

    93%match
  15. 15

    🇮🇳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 15 great-fit crops

    93%match
  16. 16

    🇮🇳KallakurichiTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 46 in rainZone 12b · No frost · 0 chill hours · 1,175 mm rain

    Shares 15 of your 15 great-fit crops

    92%match
  17. 17

    🇮🇳MannachanallurTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 36 in rainZone 13a · No frost · 0 chill hours · 909 mm rain

    Shares 15 of your 15 great-fit crops

    92%match
  18. 18

    🇮🇳TirupatiAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 40 in rainZone 12b · No frost · 0 chill hours · 1,012 mm rain

    Shares 15 of your 15 great-fit crops

    92%match
  19. 19

    🇮🇳AllinagaramTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 35 in rainZone 13a · No frost · 0 chill hours · 889 mm rain

    Shares 15 of your 15 great-fit crops

    91%match
  20. 20

    🇮🇳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 15 great-fit crops

    91%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 Vīrnūr: 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.