Climatch

Land with a climate like Someshwar

🇮🇳Someshwar, Karnataka, India

The towns with the closest growing climate to Someshwar are Puttūr, India (99% match), Bhatkal and Kanhangad. About 53,000 sq mi of land in 5 countries matches 80% or better, most of it in Karnataka, India, Ayeyarwady, Myanmar and Rakhine, Myanmar.The towns with the closest growing climate to Someshwar are Puttūr, India (99% match), Bhatkal and Kanhangad. About 137,000 km² of land in 5 countries matches 80% or better, most of it in Karnataka, India, Ayeyarwady, Myanmar and Rakhine, Myanmar.

Your growing climate

Zone 12b · No frost · 0 chill hours · 245 in rainZone 12b · No frost · 0 chill hours · 6,213 mm rain

What grows in Someshwar →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    11k sq mi29k km² matching 80% or better

    For example Puttūr (99), Vittal (98)

  2. 2

    🇲🇲Ayeyarwady, Myanmar

    10k sq mi26k km² matching 80% or better

    For example Labutta (86), Pathein (82)

  3. 3

    🇲🇲Rakhine, Myanmar

    9,300 sq mi24k km² matching 80% or better

    For example Manaung (86), Taungup (83)

  4. 4

    🇲🇲Mon, Myanmar

    6,900 sq mi18k km² matching 80% or better

    For example Thanbyuzayat (91), Kyaikkami (91)

  5. 5

    🇮🇳Kerala, India

    3,200 sq mi8,300 km² matching 80% or better

    For example Chengala (95), Koipādi (95)

  6. 6

    🇮🇳Maharashtra, India

    2,000 sq mi5,200 km² matching 80% or better

    For example Sāvantvādi (87), Kankauli (81)

  7. 7

    🇬🇳Kindia, Guinea

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

    For example Manéah (83), Dubréka (81)

  8. 8

    🇬🇳Conakry, Guinea

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

    For example Dixinn (83), Conakry (80)

  9. 9

    🇸🇱North West, Sierra Leone

    900 sq mi2,300 km² matching 80% or better

    For example Port Loko (77)

  10. 10

    🇧🇩Chittagong, Bangladesh

    800 sq mi2,200 km² matching 80% or better

    For example Teknāf (83), Cox’s Bāzār (71)

  11. 11

    🇸🇱Western Area, Sierra Leone

    600 sq mi1,500 km² matching 80% or better

    For example Freetown (78), Waterloo (72)

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

    🇮🇳PuttūrKarnataka, India

    Zone 13a · No frost · 0 chill hours · 182 in rainZone 13a · No frost · 0 chill hours · 4,616 mm rain

    Shares 9 of your 10 great-fit crops

    99%match
  2. 2

    🇮🇳BhatkalKarnataka, India

    Zone 13a · No frost · 0 chill hours · 172 in rainZone 13a · No frost · 0 chill hours · 4,366 mm rain

    Shares 9 of your 10 great-fit crops

    94%match
  3. 3

    🇮🇳KanhangadKerala, India

    Zone 13a · No frost · 0 chill hours · 154 in rainZone 13a · No frost · 0 chill hours · 3,900 mm rain

    Shares 9 of your 10 great-fit crops

    92%match
  4. 4

    🇮🇳KumtaKarnataka, India

    Zone 13a · No frost · 0 chill hours · 149 in rainZone 13a · No frost · 0 chill hours · 3,774 mm rain

    Shares 9 of your 10 great-fit crops · Also great there: date palm

    91%match
  5. 5

    🇮🇳KarwarKarnataka, India

    Zone 13a · No frost · 0 chill hours · 133 in rainZone 13a · No frost · 0 chill hours · 3,377 mm rain

    Shares 9 of your 10 great-fit crops · Also great there: mango, sugarcane, date palm

    91%match
  6. 6

    🇲🇲MudonMon, Myanmar

    Zone 12b · No frost · 0 chill hours · 194 in rainZone 12b · No frost · 0 chill hours · 4,915 mm rain

    Shares 9 of your 10 great-fit crops

    90%match
  7. 7

    🇮🇳SāvantvādiMaharashtra, India

    Zone 12b · No frost · 0 chill hours · 166 in rainZone 12b · No frost · 0 chill hours · 4,210 mm rain

    Shares 10 of your 10 great-fit crops · Also great there: date palm

    87%match
  8. 8

    🇲🇲LabuttaAyeyarwady, Myanmar

    Zone 12b · No frost · 0 chill hours · 122 in rainZone 12b · No frost · 0 chill hours · 3,099 mm rain

    Shares 9 of your 10 great-fit crops · Also great there: mango, sugarcane, cassava

    86%match
  9. 9

    🇲🇲ManaungRakhine, Myanmar

    Zone 12a · No frost · 0 chill hours · 188 in rainZone 12a · No frost · 0 chill hours · 4,768 mm rain

    Shares 10 of your 10 great-fit crops · Also great there: date palm

    86%match
  10. 10

    🇮🇳TellicherryKerala, India

    Zone 13a · No frost · 0 chill hours · 145 in rainZone 13a · No frost · 0 chill hours · 3,695 mm rain

    Shares 9 of your 10 great-fit crops

    84%match
  11. 11

    🇲🇲TaungupRakhine, Myanmar

    Zone 11b · No frost · 0 chill hours · 192 in rainZone 11b · No frost · 0 chill hours · 4,869 mm rain

    Shares 10 of your 10 great-fit crops · Also great there: date palm

    83%match
  12. 12

    🇮🇳SāgarKarnataka, India

    Zone 12a · No frost · 0 chill hours · 134 in rainZone 12a · No frost · 0 chill hours · 3,411 mm rain

    Shares 10 of your 10 great-fit crops · Also great there: wheat, mango, sugarcane

    83%match
  13. 13

    🇲🇲ThatonMon, Myanmar

    Zone 12a · No frost · 0 chill hours · 199 in rainZone 12a · No frost · 0 chill hours · 5,042 mm rain

    Shares 9 of your 10 great-fit crops · Also great there: date palm

    83%match
  14. 14

    🇲🇲PatheinAyeyarwady, Myanmar

    Zone 12b · No frost · 0 chill hours · 121 in rainZone 12b · No frost · 0 chill hours · 3,067 mm rain

    Shares 9 of your 10 great-fit crops · Also great there: mango, sugarcane, cassava

    82%match
  15. 15

    🇲🇲KyeintaliRakhine, Myanmar

    Zone 12a · No frost · 0 chill hours · 171 in rainZone 12a · No frost · 0 chill hours · 4,341 mm rain

    Shares 9 of your 10 great-fit crops · Also great there: date palm

    82%match
  16. 16

    🇲🇲ThandweRakhine, Myanmar

    Zone 11b · No frost · 0 chill hours · 205 in rainZone 11b · No frost · 0 chill hours · 5,213 mm rain

    Shares 10 of your 10 great-fit crops · Also great there: date palm

    82%match
  17. 17

    🇮🇳SirsiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 118 in rainZone 12a · No frost · 0 chill hours · 3,007 mm rain

    Shares 10 of your 10 great-fit crops · Also great there: mango, sugarcane, wheat

    82%match
  18. 18

    🇲🇲GwaRakhine, Myanmar

    Zone 12a · No frost · 0 chill hours · 150 in rainZone 12a · No frost · 0 chill hours · 3,802 mm rain

    Shares 9 of your 10 great-fit crops · Also great there: date palm

    81%match
  19. 19

    🇮🇳KankauliMaharashtra, India

    Zone 12b · No frost · 0 chill hours · 171 in rainZone 12b · No frost · 0 chill hours · 4,345 mm rain

    Shares 10 of your 10 great-fit crops · Also great there: date palm

    81%match
  20. 20

    🇲🇲KyaiktoMon, Myanmar

    Zone 12a · No frost · 0 chill hours · 186 in rainZone 12a · No frost · 0 chill hours · 4,718 mm rain

    Shares 9 of your 10 great-fit crops · Also great there: date palm

    81%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 Someshwar: 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.