Climatch

Land with a climate like Singampunari

🇮🇳Singampunari, Tamil Nadu, India

The towns with the closest growing climate to Singampunari are Perambalur, India (99% match), Thanjavur and Tiruchirappalli. About 66,000 sq mi of land in 6 countries matches 80% or better, most of it in Tamil Nadu, India, Andhra Pradesh, India and La Guajira Department, Colombia.The towns with the closest growing climate to Singampunari are Perambalur, India (99% match), Thanjavur and Tiruchirappalli. About 171,000 km² of land in 6 countries matches 80% or better, most of it in Tamil Nadu, India, Andhra Pradesh, India and La Guajira Department, Colombia.

Your growing climate

Zone 13a · No frost · 0 chill hours · 45 in rainZone 13a · No frost · 0 chill hours · 1,153 mm rain

What grows in Singampunari →

Regions with the most land like yours

  1. 1

    🇮🇳Tamil Nadu, India

    45k sq mi116k km² matching 80% or better

    For example Ariyalūr (99), Perambalur (99)

  2. 2

    🇮🇳Andhra Pradesh, India

    11k sq mi29k km² matching 80% or better

    For example Nagari (94), Rāmāpuram (94)

  3. 3

    🇨🇴La Guajira Department, Colombia

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

    For example Albania (87), Hatonuevo (85)

  4. 4

    🇨🇴Cesar Department, Colombia

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

    For example San Diego (84), Valledupar (84)

  5. 5

    🇻🇪Zulia, Venezuela

    900 sq mi2,300 km² matching 80% or better

    For example San Timoteo (81), Mene Grande (80)

  6. 6

    🇻🇪Falcón, Venezuela

    900 sq mi2,300 km² matching 80% or better

    For example Mene de Mauroa (83), Dabajuro (81)

  7. 7

    🇻🇪Trujillo, Venezuela

    600 sq mi1,500 km² matching 80% or better

    For example El Dividive (80), Sabana de Mendoza (75)

  8. 8

    🇰🇭Takeo, Cambodia

    600 sq mi1,500 km² matching 80% or better

    For example Phumĭ Yoŭl Toŭng (82), Kandoeng (81)

  9. 9

    🇮🇳Puducherry, India

    600 sq mi1,500 km² matching 80% or better

    For example Kāraikāl (90), Kurumbapet (89)

  10. 10

    🇰🇭Kampong Speu Province, Cambodia

    600 sq mi1,500 km² matching 80% or better

    For example Kampong Speu (80), Phumĭ Véal Tônsay (80)

  11. 11

    🇯🇲Westmoreland, Jamaica

    600 sq mi1,500 km² matching 80% or better

    For example Savanna-la-Mar (77)

  12. 12

    🇧🇷Piauí, Brazil

    300 sq mi800 km² matching 80% or better

    For example Luzilândia (81), Esperantina (76)

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

    🇮🇳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

    99%match
  2. 2

    🇮🇳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

    99%match
  3. 3

    🇮🇳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

    99%match
  4. 4

    🇮🇳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

    99%match
  5. 5

    🇮🇳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

    99%match
  6. 6

    🇮🇳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

    99%match
  7. 7

    🇮🇳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

    97%match
  8. 8

    🇮🇳NeyveliTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 56 in rainZone 13a · No frost · 0 chill hours · 1,412 mm rain

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

    96%match
  9. 9

    🇮🇳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

    95%match
  10. 10

    🇮🇳KanchipuramTamil Nadu, India

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

    Shares 16 of your 16 great-fit crops

    95%match
  11. 11

    🇮🇳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 16 great-fit crops

    94%match
  12. 12

    🇮🇳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 16 great-fit crops

    94%match
  13. 13

    🇮🇳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

    94%match
  14. 14

    🇮🇳SrivilliputhurTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 40 in rainZone 13a · No frost · 0 chill hours · 1,004 mm rain

    Shares 14 of your 16 great-fit crops

    94%match
  15. 15

    🇮🇳SalemTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 41 in rainZone 12b · No frost · 0 chill hours · 1,048 mm rain

    Shares 15 of your 16 great-fit crops

    94%match
  16. 16

    🇮🇳SivakasiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 991 mm rain

    Shares 14 of your 16 great-fit crops

    94%match
  17. 17

    🇮🇳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

    93%match
  18. 18

    🇮🇳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

    93%match
  19. 19

    🇮🇳MayiladuthuraiTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 57 in rainZone 13a · No frost · 0 chill hours · 1,449 mm rain

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

    93%match
  20. 20

    🇮🇳MetturTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 38 in rainZone 12b · No frost · 0 chill hours · 977 mm rain

    Shares 15 of your 16 great-fit crops

    93%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 Singampunari: 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.