Climatch

Land with a climate like Kollegāl

🇮🇳Kollegāl, Karnataka, India

The towns with the closest growing climate to Kollegāl are Krishnarājpet, India (99% match), Robertsonpet and Bengaluru. About 91,000 sq mi of land in 9 countries matches 80% or better, most of it in Karnataka, India, Maranhão, Brazil and Tamil Nadu, India.The towns with the closest growing climate to Kollegāl are Krishnarājpet, India (99% match), Robertsonpet and Bengaluru. About 235,000 km² of land in 9 countries matches 80% or better, most of it in Karnataka, India, Maranhão, Brazil and Tamil Nadu, India.

Your growing climate

Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 766 mm rain

What grows in Kollegāl →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    34k sq mi88k km² matching 80% or better

    For example Nāgamangala (99), Krishnarājāsāgara (99)

  2. 2

    🇧🇷Maranhão, Brazil

    15k sq mi38k km² matching 80% or better

    For example Buriti Bravo (84), São João dos Patos (84)

  3. 3

    🇮🇳Tamil Nadu, India

    11k sq mi30k km² matching 80% or better

    For example Avalēpalli (99), Mūkondapalli (99)

  4. 4

    🇧🇷Piauí, Brazil

    5,600 sq mi15k km² matching 80% or better

    For example Valença do Piauí (81), Água Branca (80)

  5. 5

    🇮🇳Andhra Pradesh, India

    5,500 sq mi14k km² matching 80% or better

    For example Kuppam (98), Punganūru (96)

  6. 6

    🇹🇭Lampang, Thailand

    4,000 sq mi10k km² matching 80% or better

    For example Thoen (83), Lampang (79)

  7. 7

    🇲🇲Mandalay Region, Myanmar

    3,900 sq mi10k km² matching 80% or better

    For example Yamethin (82), Pyawbwe (81)

  8. 8

    🇲🇲Magway, Myanmar

    2,200 sq mi5,800 km² matching 80% or better

    For example Taungdwingyi (79), Magway (71)

  9. 9

    🇹🇭Lamphun, Thailand

    1,400 sq mi3,700 km² matching 80% or better

    For example Pa Sang (82), Lamphun (80)

  10. 10

    🇹🇭Tak, Thailand

    900 sq mi2,200 km² matching 80% or better

    For example Ban Tak (76), Tak (68)

  11. 11

    🇲🇲Nay Pyi Taw, Myanmar

    800 sq mi2,200 km² matching 80% or better

    For example Lewe (68), Nay Pyi Taw (68)

  12. 12

    🇹🇿Kigoma, Tanzania

    300 sq mi800 km² matching 80% or better

    For example Kigoma (77), Mwandiga (74)

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

    🇮🇳KrishnarājpetKarnataka, India

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 668 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: canola (rapeseed), barley

    99%match
  2. 2

    🇮🇳RobertsonpetKarnataka, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 750 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: canola (rapeseed), barley

    98%match
  3. 3

    🇮🇳BengaluruKarnataka, India

    Zone 12a · No frost · 0 chill hours · 36 in rainZone 12a · No frost · 0 chill hours · 914 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: canola (rapeseed), barley

    97%match
  4. 4

    🇮🇳HunsūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 36 in rainZone 12a · No frost · 0 chill hours · 903 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: canola (rapeseed)

    97%match
  5. 5

    🇮🇳ChiknāyakanhalliKarnataka, India

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 613 mm rain

    Shares 14 of your 18 great-fit crops · Also great there: canola (rapeseed), barley

    97%match
  6. 6

    🇮🇳ChintamaniKarnataka, India

    Zone 11b · No frost · 0 chill hours · 28 in rainZone 11b · No frost · 0 chill hours · 711 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed), barley

    97%match
  7. 7

    🇮🇳TiptūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 615 mm rain

    Shares 15 of your 18 great-fit crops · Also great there: canola (rapeseed), barley

    97%match
  8. 8

    🇮🇳KadūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 647 mm rain

    Shares 14 of your 18 great-fit crops · Also great there: canola (rapeseed)

    96%match
  9. 9

    🇮🇳TumkūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 786 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: canola (rapeseed), barley

    95%match
  10. 10

    🇮🇳MadanapalleAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 692 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: canola (rapeseed)

    95%match
  11. 11

    🇮🇳PalmanerAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 836 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    94%match
  12. 12

    🇮🇳HindupurAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 687 mm rain

    Shares 15 of your 18 great-fit crops

    93%match
  13. 13

    🇮🇳SīraKarnataka, India

    Zone 12a · No frost · 0 chill hours · 22 in rainZone 12a · No frost · 0 chill hours · 569 mm rain

    Shares 14 of your 18 great-fit crops

    93%match
  14. 14

    🇮🇳BargūrTamil Nadu, India

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 889 mm rain

    Shares 16 of your 18 great-fit crops

    93%match
  15. 15

    🇮🇳KrishnagiriTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 35 in rainZone 12b · No frost · 0 chill hours · 883 mm rain

    Shares 15 of your 18 great-fit crops

    92%match
  16. 16

    🇮🇳DavangereKarnataka, India

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 668 mm rain

    Shares 15 of your 18 great-fit crops

    90%match
  17. 17

    🇮🇳HassanKarnataka, India

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 891 mm rain

    Shares 18 of your 18 great-fit crops · Also great there: canola (rapeseed), barley, macadamia

    89%match
  18. 18

    🇮🇳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 18 great-fit crops

    88%match
  19. 19

    🇮🇳ChitradurgaKarnataka, India

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 614 mm rain

    Shares 14 of your 18 great-fit crops

    87%match
  20. 20

    🇮🇳DharmapuriTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 39 in rainZone 12b · No frost · 0 chill hours · 982 mm rain

    Shares 15 of your 18 great-fit crops

    87%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 Kollegāl: 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.