Climatch

Land with a climate like Sālamedu

🇮🇳Sālamedu, Tamil Nadu, India

The towns with the closest growing climate to Sālamedu are Kanchipuram, India (99% match), Mahabalipuram and Chennai. About 71,000 sq mi of land in 7 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 Sālamedu are Kanchipuram, India (99% match), Mahabalipuram and Chennai. About 184,000 km² of land in 7 countries matches 80% or better, most of it in Tamil Nadu, India, Andhra Pradesh, India and Maranhão, Brazil.

Your growing climate

Zone 13a · No frost · 0 chill hours · 50 in rainZone 13a · No frost · 0 chill hours · 1,280 mm rain

What grows in Sālamedu →

Regions with the most land like yours

  1. 1

    🇮🇳Tamil Nadu, India

    37k sq mi95k km² matching 80% or better

    For example Madurāntakam (99), Chengalpattu (99)

  2. 2

    🇮🇳Andhra Pradesh, India

    14k sq mi37k km² matching 80% or better

    For example Nagalapuram (99), Nagari (99)

  3. 3

    🇧🇷Maranhão, Brazil

    4,500 sq mi12k km² matching 80% or better

    For example Santa Quitéria do Maranhão (86), São Bernardo (84)

  4. 4

    🇻🇪Falcón, Venezuela

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

    For example Mene de Mauroa (82), Dabajuro (82)

  5. 5

    🇨🇴La Guajira Department, Colombia

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

    For example Albania (83), Riohacha (82)

  6. 6

    🇧🇷Piauí, Brazil

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

    For example Luzilândia (87), Esperantina (83)

  7. 7

    🇻🇪Zulia, Venezuela

    600 sq mi1,500 km² matching 80% or better

    For example Santa Cruz de Mara (80), Los Puertos de Altagracia (78)

  8. 8

    🇨🇴Magdalena Department, Colombia

    600 sq mi1,500 km² matching 80% or better

    For example Santa Marta (78), Aracataca (76)

  9. 9

    🇮🇳Puducherry, India

    600 sq mi1,500 km² matching 80% or better

    For example Kāraikāl (95)

  10. 10

    🇻🇳Khanh Hoa, Vietnam

    600 sq mi1,500 km² matching 80% or better

    For example Phan Rang-Tháp Chàm (85), Ninh Hòa (83)

  11. 11

    🇮🇩Southeast Sulawesi, Indonesia

    300 sq mi800 km² matching 80% or better

    For example Katobu (72), Raha (71)

  12. 12

    🇵🇦Veraguas Province, Panama

    300 sq mi800 km² matching 80% or better

    For example Santiago de Veraguas (61)

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

    🇮🇳KanchipuramTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 48 in rainZone 12b · No frost · 0 chill hours · 1,225 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: banana

    99%match
  2. 2

    🇮🇳MahabalipuramTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 55 in rainZone 13a · No frost · 0 chill hours · 1,395 mm rain

    Shares 15 of your 16 great-fit crops

    99%match
  3. 3

    🇮🇳ChennaiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 53 in rainZone 13a · No frost · 0 chill hours · 1,338 mm rain

    Shares 15 of your 16 great-fit crops

    99%match
  4. 4

    🇮🇳SrikalahastiAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 43 in rainZone 12b · No frost · 0 chill hours · 1,089 mm rain

    Shares 15 of your 16 great-fit crops

    99%match
  5. 5

    🇮🇳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 16 great-fit crops

    98%match
  6. 6

    🇮🇳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 16 great-fit crops

    97%match
  7. 7

    🇮🇳KāvaliAndhra Pradesh, India

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

    Shares 15 of your 16 great-fit crops

    97%match
  8. 8

    🇮🇳KovūrAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 41 in rainZone 12b · No frost · 0 chill hours · 1,039 mm rain

    Shares 15 of your 16 great-fit crops

    97%match
  9. 9

    🇮🇳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 16 great-fit crops

    97%match
  10. 10

    🇮🇳NelloreAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 41 in rainZone 12b · No frost · 0 chill hours · 1,054 mm rain

    Shares 15 of your 16 great-fit crops

    96%match
  11. 11

    🇮🇳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 16 great-fit crops

    96%match
  12. 12

    🇮🇳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 16 great-fit crops

    96%match
  13. 13

    🇮🇳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 16 great-fit crops

    96%match
  14. 14

    🇮🇳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 16 great-fit crops

    96%match
  15. 15

    🇮🇳PeravuraniTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 49 in rainZone 13a · No frost · 0 chill hours · 1,250 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: banana, cacao

    94%match
  16. 16

    🇮🇳PattukkottaiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 51 in rainZone 13a · No frost · 0 chill hours · 1,297 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: banana, cacao

    94%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 16 great-fit crops

    94%match
  18. 18

    🇮🇳MelurTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 46 in rainZone 13a · No frost · 0 chill hours · 1,162 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: banana

    93%match
  19. 19

    🇮🇳NagapattinamTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 62 in rainZone 13a · No frost · 0 chill hours · 1,565 mm rain

    Shares 15 of your 16 great-fit crops

    93%match
  20. 20

    🇮🇳ParamagudiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,031 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: banana

    92%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 Sālamedu: 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.