Climatch

Land with a climate like Tevāram

🇮🇳Tevāram, Tamil Nadu, India

The towns with the closest growing climate to Tevāram are Kuniyamuttūr, India (94% match), Kadayanallur and Coimbatore. About 191,000 sq mi of land in 18 countries matches 80% or better, most of it in Tamil Nadu, India, Bas-Uele, Democratic Republic of the Congo and Bolívar, Venezuela.The towns with the closest growing climate to Tevāram are Kuniyamuttūr, India (94% match), Kadayanallur and Coimbatore. About 495,000 km² of land in 18 countries matches 80% or better, most of it in Tamil Nadu, India, Bas-Uele, Democratic Republic of the Congo and Bolívar, Venezuela.

Your growing climate

Zone 12b · No frost · 0 chill hours · 52 in rainZone 12b · No frost · 0 chill hours · 1,329 mm rain

What grows in Tevāram →

Regions with the most land like yours

  1. 1

    🇮🇳Tamil Nadu, India

    24k sq mi62k km² matching 80% or better

    For example Shenkottai (97), Vadakarai Kīl Pidāgai (96)

  2. 2

    🇨🇩Bas-Uele, Democratic Republic of the Congo

    11k sq mi28k km² matching 80% or better

    For example Bondo (85), Aketi (84)

  3. 3

    🇻🇪Bolívar, Venezuela

    11k sq mi28k km² matching 80% or better

    For example Ciudad Piar (83), Ciudad Bolívar (79)

  4. 4

    🇻🇪Monagas, Venezuela

    10k sq mi26k km² matching 80% or better

    For example Caripito (83), Barrancas (83)

  5. 5

    🇻🇪Anzoátegui, Venezuela

    8,000 sq mi21k km² matching 80% or better

    For example Puerto Píritu (86), Clarines (85)

  6. 6

    🇨🇴Cesar Department, Colombia

    6,800 sq mi18k km² matching 80% or better

    For example Agustín Codazzi (88), San Diego (85)

  7. 7

    🇮🇩East Java, Indonesia

    5,900 sq mi15k km² matching 80% or better

    For example Madiun (88), Ponorogo (87)

  8. 8

    🇹🇭Surat Thani, Thailand

    4,400 sq mi11k km² matching 80% or better

    For example Ban Na San (87), Tha Kham (85)

  9. 9

    🇮🇩Central Java, Indonesia

    3,600 sq mi9,200 km² matching 80% or better

    For example Cepu (86), Blora (86)

  10. 10

    🇨🇩Tshopo, Democratic Republic of the Congo

    3,000 sq mi7,700 km² matching 80% or better

    For example Basoko (82), Kisangani (72)

  11. 11

    🇨🇩Mongala, Democratic Republic of the Congo

    2,700 sq mi7,000 km² matching 80% or better

    For example Bumba (80), Lisala (77)

  12. 12

    🇮🇳Kerala, India

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

    For example Nedumangād (87), Kulathummal (87)

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

    🇮🇳KuniyamuttūrTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 44 in rainZone 12b · No frost · 0 chill hours · 1,110 mm rain

    Shares 16 of your 20 great-fit crops

    94%match
  2. 2

    🇮🇳KadayanallurTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 52 in rainZone 13a · No frost · 0 chill hours · 1,314 mm rain

    Shares 18 of your 20 great-fit crops

    93%match
  3. 3

    🇮🇳CoimbatoreTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 39 in rainZone 12b · No frost · 0 chill hours · 995 mm rain

    Shares 16 of your 20 great-fit crops

    93%match
  4. 4

    🇮🇳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 20 great-fit crops · Also great there: table and raisin grapes

    92%match
  5. 5

    🇻🇪PampánTrujillo, Venezuela

    Zone 13a · No frost · 0 chill hours · 49 in rainZone 13a · No frost · 0 chill hours · 1,255 mm rain

    Shares 19 of your 20 great-fit crops

    90%match
  6. 6

    🇻🇪CaroraLara, Venezuela

    Zone 13a · No frost · 0 chill hours · 31 in rainZone 13a · No frost · 0 chill hours · 781 mm rain

    Shares 15 of your 20 great-fit crops · Also great there: table and raisin grapes

    89%match
  7. 7

    🇮🇳VikramasingapuramTamil Nadu, India

    Zone 13a · No frost · 0 chill hours · 50 in rainZone 13a · No frost · 0 chill hours · 1,273 mm rain

    Shares 17 of your 20 great-fit crops

    89%match
  8. 8

    🇻🇪San FelipeYaracuy, Venezuela

    Zone 13a · No frost · 0 chill hours · 39 in rainZone 13a · No frost · 0 chill hours · 995 mm rain

    Shares 17 of your 20 great-fit crops

    88%match
  9. 9

    🇮🇳NāgercoilTamil Nadu, India

    Zone 13b · No frost · 0 chill hours · 55 in rainZone 13b · No frost · 0 chill hours · 1,405 mm rain

    Shares 18 of your 20 great-fit crops

    88%match
  10. 10

    🇨🇴CúcutaNorte de Santander Department, Colombia

    Zone 13a · No frost · 0 chill hours · 64 in rainZone 13a · No frost · 0 chill hours · 1,632 mm rain

    Shares 19 of your 20 great-fit crops

    88%match
  11. 11

    🇮🇩Madiun↻Seasons flipped. East Java, Indonesia

    Zone 13a · No frost · 0 chill hours · 78 in rainZone 13a · No frost · 0 chill hours · 1,980 mm rain

    Shares 18 of your 20 great-fit crops

    88%match
  12. 12

    🇨🇴Agustín CodazziCesar Department, Colombia

    Zone 13a · No frost · 0 chill hours · 49 in rainZone 13a · No frost · 0 chill hours · 1,257 mm rain

    Shares 15 of your 20 great-fit crops

    88%match
  13. 13

    🇻🇪HigueroteMiranda, Venezuela

    Zone 13a · No frost · 0 chill hours · 47 in rainZone 13a · No frost · 0 chill hours · 1,192 mm rain

    Shares 16 of your 20 great-fit crops

    88%match
  14. 14

    🇻🇪BarinitasBarinas, Venezuela

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

    Shares 20 of your 20 great-fit crops

    88%match
  15. 15

    🇮🇳VadamaduraiTamil Nadu, India

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

    Shares 15 of your 20 great-fit crops

    87%match
  16. 16

    🇻🇪BarquisimetoLara, Venezuela

    Zone 12b · No frost · 0 chill hours · 36 in rainZone 12b · No frost · 0 chill hours · 904 mm rain

    Shares 17 of your 20 great-fit crops · Also great there: table and raisin grapes

    87%match
  17. 17

    🇻🇪El TocuyoLara, Venezuela

    Zone 12b · No frost · 0 chill hours · 44 in rainZone 12b · No frost · 0 chill hours · 1,118 mm rain

    Shares 17 of your 20 great-fit crops

    86%match
  18. 18

    🇹🇭Thung SongNakhon Si Thammarat, Thailand

    Zone 13b · No frost · 0 chill hours · 78 in rainZone 13b · No frost · 0 chill hours · 1,975 mm rain

    Shares 17 of your 20 great-fit crops

    86%match
  19. 19

    🇮🇳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 20 great-fit crops

    86%match
  20. 20

    🇻🇪GüiriaSucre, Venezuela

    Zone 13a · No frost · 0 chill hours · 58 in rainZone 13a · No frost · 0 chill hours · 1,476 mm rain

    Shares 20 of your 20 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 Tevāram: 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.