Climatch

Land with a climate like Parangipettai

🇮🇳Parangipettai, Tamil Nadu, India

The towns with the closest growing climate to Parangipettai are Nagapattinam, India (99% match), Kottaikādu and Pattukkottai. About 55,000 sq mi of land in 7 countries matches 80% or better, most of it in Tamil Nadu, India, Andhra Pradesh, India and Khanh Hoa, Vietnam.The towns with the closest growing climate to Parangipettai are Nagapattinam, India (99% match), Kottaikādu and Pattukkottai. About 141,000 km² of land in 7 countries matches 80% or better, most of it in Tamil Nadu, India, Andhra Pradesh, India and Khanh Hoa, Vietnam.

Your growing climate

Zone 13a · No frost · 0 chill hours · 59 in rainZone 13a · No frost · 0 chill hours · 1,491 mm rain

What grows in Parangipettai →

Regions with the most land like yours

  1. 1

    🇮🇳Tamil Nadu, India

    31k sq mi80k km² matching 80% or better

    For example Thiruvarur (99), Nagapattinam (99)

  2. 2

    🇮🇳Andhra Pradesh, India

    7,200 sq mi19k km² matching 80% or better

    For example Sūlūru (93), Nagalapuram (91)

  3. 3

    🇻🇳Khanh Hoa, Vietnam

    1,800 sq mi4,500 km² matching 80% or better

    For example Ninh Hòa (91), Phan Rang-Tháp Chàm (87)

  4. 4

    🇱🇰Northern Province, Sri Lanka

    1,500 sq mi3,800 km² matching 80% or better

    For example Point Pedro (82), Valvedditturai (82)

  5. 5

    🇻🇳Gia Lai, Vietnam

    1,500 sq mi3,800 km² matching 80% or better

    For example An Nhơn (88), Qui Nhon (85)

  6. 6

    🇮🇩Southeast Sulawesi, Indonesia

    1,200 sq mi3,100 km² matching 80% or better

    For example Katobu (80), Raha (80)

  7. 7

    🇻🇳Dak Lak, Vietnam

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

    For example Sông Cầu (85), Tuy Hòa (84)

  8. 8

    🇨🇴Magdalena Department, Colombia

    600 sq mi1,500 km² matching 80% or better

    For example Santa Marta (66), Plato (63)

  9. 9

    🇮🇳Puducherry, India

    600 sq mi1,500 km² matching 80% or better

  10. 10

    🇨🇴La Guajira Department, Colombia

    600 sq mi1,500 km² matching 80% or better

    For example Hatonuevo (75), Albania (75)

  11. 11

    🇹🇭Songkhla, Thailand

    300 sq mi800 km² matching 80% or better

    For example Ban Mai (79), Songkhla (79)

  12. 12

    🇱🇰Eastern Province, Sri Lanka

    300 sq mi800 km² matching 80% or better

    For example Trincomalee (77), Vakarai (63)

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

    🇮🇳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

    99%match
  2. 2

    🇮🇳KottaikāduTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,332 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  3. 3

    🇮🇳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

    99%match
  4. 4

    🇮🇳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

    97%match
  5. 5

    🇮🇳TondiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 46 in rainZone 13a · No frost · 0 chill hours · 1,164 mm rain

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

    97%match
  6. 6

    🇮🇳ChengalpattuTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 54 in rainZone 12b · No frost · 0 chill hours · 1,359 mm rain

    Shares 15 of your 16 great-fit crops

    97%match
  7. 7

    🇮🇳VedaraniyamTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 66 in rainZone 13a · No frost · 0 chill hours · 1,669 mm rain

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

    96%match
  8. 8

    🇮🇳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

    95%match
  9. 9

    🇮🇳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 16 great-fit crops

    94%match
  10. 10

    🇮🇳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

    94%match
  11. 11

    🇮🇳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

    93%match
  12. 12

    🇮🇳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 16 great-fit crops

    93%match
  13. 13

    🇮🇳ArakkonamTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 48 in rainZone 12b · No frost · 0 chill hours · 1,207 mm rain

    Shares 15 of your 16 great-fit crops

    91%match
  14. 14

    🇮🇳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 16 great-fit crops

    91%match
  15. 15

    🇮🇳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

    90%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 16 great-fit crops

    90%match
  17. 17

    🇮🇳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

    87%match
  18. 18

    🇮🇳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

    87%match
  19. 19

    🇻🇳Phan Rang-Tháp ChàmKhanh Hoa, Vietnam

    Zone 13a · No frost · 0 chill hours · 41 in rainZone 13a · No frost · 0 chill hours · 1,038 mm rain

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

    87%match
  20. 20

    🇮🇳KilakaraiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 37 in rainZone 13a · No frost · 0 chill hours · 945 mm rain

    Shares 14 of your 16 great-fit crops

    86%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 Parangipettai: 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.