Climatch

Land with a climate like Dharmapuri

🇮🇳Dharmapuri, Tamil Nadu, India

The towns with the closest growing climate to Dharmapuri are Ambur, India (99% match), Nāmagiripettai and Udumalaippettai. About 146,000 sq mi of land in 10 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 Dharmapuri are Ambur, India (99% match), Nāmagiripettai and Udumalaippettai. About 378,000 km² of land in 10 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 · 982 mm rain

What grows in Dharmapuri →

Regions with the most land like yours

  1. 1

    🇮🇳Tamil Nadu, India

    34k sq mi88k km² matching 80% or better

    For example Vaniyambadi (99), Sankagiri (99)

  2. 2

    🇮🇳Andhra Pradesh, India

    24k sq mi63k km² matching 80% or better

    For example Chittoor (99), Pākāla (98)

  3. 3

    🇧🇷Maranhão, Brazil

    24k sq mi62k km² matching 80% or better

    For example Matões (89), Estreito (89)

  4. 4

    🇧🇷Piauí, Brazil

    17k sq mi44k km² matching 80% or better

    For example Regeneração (89), José de Freitas (87)

  5. 5

    🇮🇳Karnataka, India

    6,100 sq mi16k km² matching 80% or better

    For example Kanakapura (89), Kollegāl (87)

  6. 6

    🇲🇲Mandalay Region, Myanmar

    3,100 sq mi8,000 km² matching 80% or better

    For example Yamethin (85), Pyawbwe (84)

  7. 7

    🇨🇴Magdalena Department, Colombia

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

    For example Fundación (83), Aracataca (82)

  8. 8

    🇻🇪Anzoátegui, Venezuela

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

    For example Aragua de Barcelona (80), Cantaura (77)

  9. 9

    🇻🇪Cojedes, Venezuela

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

    For example San Carlos (83), Tinaco (82)

  10. 10

    🇨🇴La Guajira Department, Colombia

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

    For example Fonseca (87), Barrancas (86)

  11. 11

    🇹🇭Sukhothai, Thailand

    2,300 sq mi5,900 km² matching 80% or better

    For example Sawankhalok (83), Si Satchanalai (82)

  12. 12

    🇨🇴Cesar Department, Colombia

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

    For example Valledupar (86), Agustín Codazzi (83)

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

    🇮🇳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

    99%match
  2. 2

    🇮🇳NāmagiripettaiTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 38 in rainZone 12b · No frost · 0 chill hours · 973 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  3. 3

    🇮🇳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
  4. 4

    🇮🇳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

    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

    97%match
  6. 6

    🇮🇳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
  7. 7

    🇮🇳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

    97%match
  8. 8

    🇮🇳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 15 great-fit crops

    97%match
  9. 9

    🇮🇳PalmanerAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 836 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: wheat, table and raisin grapes, canola (rapeseed)

    95%match
  10. 10

    🇮🇳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 15 great-fit crops

    95%match
  11. 11

    🇮🇳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

    93%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 15 great-fit crops · Also great there: table and raisin grapes

    93%match
  13. 13

    🇮🇳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

    93%match
  14. 14

    🇮🇳KadiriAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 684 mm rain

    Shares 14 of your 15 great-fit crops

    93%match
  15. 15

    🇮🇳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
  16. 16

    🇮🇳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

    92%match
  17. 17

    🇮🇳MadanapalleAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 692 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: table and raisin grapes, wheat, canola (rapeseed)

    92%match
  18. 18

    🇮🇳KarurTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 31 in rainZone 13a · No frost · 0 chill hours · 779 mm rain

    Shares 15 of your 15 great-fit crops

    92%match
  19. 19

    🇮🇳RayachotiAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 694 mm rain

    Shares 14 of your 15 great-fit crops

    92%match
  20. 20

    🇮🇳ThiruthaniTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 47 in rainZone 12b · No frost · 0 chill hours · 1,205 mm rain

    Shares 15 of your 15 great-fit crops

    90%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 Dharmapuri: 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.