Climatch

Land with a climate like Sivagiri, India

🇮🇳Sivagiri, Tamil Nadu, India

The towns with the closest growing climate to Sivagiri, India are Kalakkādu, India (99% match), Allinagaram and Aruppukkottai. About 45,000 sq mi of land in 6 countries matches 80% or better, most of it in Tamil Nadu, India, Surat Thani, Thailand and Zulia, Venezuela.The towns with the closest growing climate to Sivagiri, India are Kalakkādu, India (99% match), Allinagaram and Aruppukkottai. About 118,000 km² of land in 6 countries matches 80% or better, most of it in Tamil Nadu, India, Surat Thani, Thailand and Zulia, Venezuela.

Your growing climate

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

What grows in Sivagiri, India →

Regions with the most land like yours

  1. 1

    🇮🇳Tamil Nadu, India

    28k sq mi72k km² matching 80% or better

    For example Kalakkādu (99), Eruvādi (99)

  2. 2

    🇹🇭Surat Thani, Thailand

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

    For example Ko Samui (84), Surat Thani (77)

  3. 3

    🇻🇪Zulia, Venezuela

    3,000 sq mi7,600 km² matching 80% or better

    For example Pueblo Nuevo El Chivo (83), San Timoteo (82)

  4. 4

    🇱🇰North Western Province, Sri Lanka

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

    For example Chilaw (80), Puttalam (79)

  5. 5

    🇨🇴Tolima Department, Colombia

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

    For example Natagaima (84), Purificación (83)

  6. 6

    🇹🇭Songkhla, Thailand

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

    For example Hat Yai (82), Ban Mai (80)

  7. 7

    🇻🇪Mérida, Venezuela

    900 sq mi2,300 km² matching 80% or better

    For example Tucaní (82), El Vigía (77)

  8. 8

    🇻🇪Trujillo, Venezuela

    900 sq mi2,300 km² matching 80% or better

    For example Pampanito (81), El Dividive (81)

  9. 9

    🇱🇰Southern Province, Sri Lanka

    600 sq mi1,500 km² matching 80% or better

    For example Hambantota (82), Ambalantota (80)

  10. 10

    🇮🇩Central Sulawesi, Indonesia

    300 sq mi800 km² matching 80% or better

    For example Palu (65), Luwuk (57)

  11. 11

    🇨🇴Cundinamarca, Colombia

    300 sq mi800 km² matching 80% or better

    For example Puerto Salgar (78), Girardot City (75)

  12. 12

    🇹🇭Phatthalung, Thailand

    300 sq mi800 km² matching 80% or better

    For example Phatthalung (78)

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

    🇮🇳KalakkāduTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 46 in rainZone 13a · No frost · 0 chill hours · 1,163 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  2. 2

    🇮🇳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 16 great-fit crops

    97%match
  3. 3

    🇮🇳AruppukkottaiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 989 mm rain

    Shares 14 of your 16 great-fit crops

    94%match
  4. 4

    🇮🇳TisaiyanvilaiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 40 in rainZone 13a · No frost · 0 chill hours · 1,024 mm rain

    Shares 14 of your 16 great-fit crops

    92%match
  5. 5

    🇮🇳ParamagudiTamil Nadu, India

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

    Shares 15 of your 16 great-fit crops

    92%match
  6. 6

    🇮🇳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 16 great-fit crops

    92%match
  7. 7

    🇮🇳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 16 great-fit crops

    90%match
  8. 8

    🇮🇳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

    89%match
  9. 9

    🇮🇳TondiTamil Nadu, India

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

    Shares 15 of your 16 great-fit crops

    88%match
  10. 10

    🇮🇳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

    88%match
  11. 11

    🇮🇳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

    87%match
  12. 12

    🇮🇳PalaniTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 28 in rainZone 12b · No frost · 0 chill hours · 722 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: table and raisin grapes

    86%match
  13. 13

    🇮🇳PāppākurichchiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 36 in rainZone 13a · No frost · 0 chill hours · 924 mm rain

    Shares 15 of your 16 great-fit crops

    86%match
  14. 14

    🇮🇳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

    86%match
  15. 15

    🇮🇳PattukkottaiTamil Nadu, India

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

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

    86%match
  16. 16

    🇮🇳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

    86%match
  17. 17

    🇮🇳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

    85%match
  18. 18

    🇮🇳VilattikulamTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 32 in rainZone 13a · No frost · 0 chill hours · 825 mm rain

    Shares 14 of your 16 great-fit crops

    85%match
  19. 19

    🇮🇳KanniyākumāriTamil Nadu, India

    Zone 13b · No frost · 0 chill hours · 53 in rainZone 13b · No frost · 0 chill hours · 1,354 mm rain

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

    84%match
  20. 20

    🇮🇳VedaraniyamTamil Nadu, India

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

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

    84%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 Sivagiri, India: 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.