Climatch

Land with a climate like Kūdligi

🇮🇳Kūdligi, Karnataka, India

The towns with the closest growing climate to Kūdligi are Ranebennur, India (99% match), Chitradurga and Pāvugada. About 179,000 sq mi of land in 6 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Maharashtra, India.The towns with the closest growing climate to Kūdligi are Ranebennur, India (99% match), Chitradurga and Pāvugada. About 463,000 km² of land in 6 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Maharashtra, India.

Your growing climate

Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 693 mm rain

What grows in Kūdligi →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    51k sq mi133k km² matching 80% or better

    For example Harihar (99), Ranebennur (99)

  2. 2

    🇧🇷Piauí, Brazil

    39k sq mi100k km² matching 80% or better

    For example Inhuma (91), Oeiras (89)

  3. 3

    🇮🇳Maharashtra, India

    20k sq mi53k km² matching 80% or better

    For example Kamatgi (99), Shiraguppi (95)

  4. 4

    🇮🇳Andhra Pradesh, India

    18k sq mi48k km² matching 80% or better

    For example Penukonda (97), Somandepalle (97)

  5. 5

    🇲🇲Magway, Myanmar

    8,100 sq mi21k km² matching 80% or better

    For example Taungdwingyi (83), Magway (80)

  6. 6

    🇲🇲Mandalay Region, Myanmar

    7,300 sq mi19k km² matching 80% or better

    For example Meiktila (85), Kyaukpadaung (84)

  7. 7

    🇧🇷Maranhão, Brazil

    5,300 sq mi14k km² matching 80% or better

    For example Barão de Grajaú (83), Passagem Franca (79)

  8. 8

    🇹🇿Tabora, Tanzania

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

    For example Mabama (80), Urambo (79)

  9. 9

    🇧🇷Bahia, Brazil

    1,800 sq mi4,500 km² matching 80% or better

    For example Bom Jesus da Lapa (79), Paratinga (78)

  10. 10

    🇪🇹Gambela, Ethiopia

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

    For example Gambēla (75)

  11. 11

    🇹🇿Shinyanga, Tanzania

    900 sq mi2,300 km² matching 80% or better

    For example Songwa (82), Shinyanga (82)

  12. 12

    🇬🇳Kindia, Guinea

    900 sq mi2,300 km² matching 80% or better

    For example Télimélé (76), Kindia (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

    🇮🇳RanebennurKarnataka, India

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

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

    99%match
  2. 2

    🇮🇳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 16 great-fit crops

    99%match
  3. 3

    🇮🇳PāvugadaKarnataka, India

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

    Shares 13 of your 16 great-fit crops

    99%match
  4. 4

    🇮🇳Gadag-BetageriKarnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 781 mm rain

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

    99%match
  5. 5

    🇮🇳NargundKarnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 783 mm rain

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

    99%match
  6. 6

    🇮🇳IlkalKarnataka, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 752 mm rain

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

    99%match
  7. 7

    🇮🇳SavanūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 820 mm rain

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

    98%match
  8. 8

    🇮🇳BagalkotKarnataka, India

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 714 mm rain

    Shares 15 of your 16 great-fit crops

    98%match
  9. 9

    🇮🇳Rabkavi-BanhattiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 792 mm rain

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

    98%match
  10. 10

    🇮🇳LingsugūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 727 mm rain

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

    98%match
  11. 11

    🇮🇳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 16 great-fit crops

    97%match
  12. 12

    🇮🇳SindhnūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 698 mm rain

    Shares 15 of your 16 great-fit crops

    97%match
  13. 13

    🇮🇳KalyandurgAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 20 in rainZone 12a · No frost · 0 chill hours · 496 mm rain

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

    97%match
  14. 14

    🇮🇳MuddebihālKarnataka, India

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 839 mm rain

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

    97%match
  15. 15

    🇮🇳HubballiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 895 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: sugarcane, avocado

    97%match
  16. 16

    🇮🇳HosadurgaKarnataka, India

    Zone 12a · No frost · 0 chill hours · 23 in rainZone 12a · No frost · 0 chill hours · 574 mm rain

    Shares 14 of your 16 great-fit crops

    96%match
  17. 17

    🇮🇳GauribidanurKarnataka, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 757 mm rain

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

    94%match
  18. 18

    🇮🇳GokakKarnataka, India

    Zone 12a · No frost · 0 chill hours · 38 in rainZone 12a · No frost · 0 chill hours · 972 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: sugarcane, avocado

    94%match
  19. 19

    🇮🇳ChannagiriKarnataka, India

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 619 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: canola (rapeseed)

    94%match
  20. 20

    🇮🇳SāngliMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 29 in rainZone 11b · No frost · 0 chill hours · 737 mm rain

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

    94%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 Kūdligi: 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.