Climatch

Land with a climate like Gurmatkāl

🇮🇳Gurmatkāl, Karnataka, India

The towns with the closest growing climate to Gurmatkāl are Kalaburagi, India (99% match), Shorāpur and Umarga. About 198,000 sq mi of land in 6 countries matches 80% or better, most of it in Maharashtra, India, Telangana, India and Karnataka, India.The towns with the closest growing climate to Gurmatkāl are Kalaburagi, India (99% match), Shorāpur and Umarga. About 514,000 km² of land in 6 countries matches 80% or better, most of it in Maharashtra, India, Telangana, India and Karnataka, India.

Your growing climate

Zone 12a · No frost · 0 chill hours · 37 in rainZone 12a · No frost · 0 chill hours · 951 mm rain

What grows in Gurmatkāl →

Regions with the most land like yours

  1. 1

    🇮🇳Maharashtra, India

    58k sq mi151k km² matching 80% or better

    For example Umarga (99), Naldurg (99)

  2. 2

    🇮🇳Telangana, India

    42k sq mi108k km² matching 80% or better

    For example Bādepalli (99), Jadcherla (99)

  3. 3

    🇮🇳Karnataka, India

    32k sq mi83k km² matching 80% or better

    For example Kalaburagi (99), Aland (99)

  4. 4

    🇧🇷Piauí, Brazil

    4,400 sq mi12k km² matching 80% or better

    For example Oeiras (80), Canto do Buriti (78)

  5. 5

    🇬🇳Faranah, Guinea

    3,200 sq mi8,400 km² matching 80% or better

    For example Dinguiraye (82), Bissikrima (80)

  6. 6

    🇲🇱Gao, Mali

    2,900 sq mi7,600 km² matching 80% or better

    For example Bamba (80)

  7. 7

    🇬🇳Labé Region, Guinea

    2,900 sq mi7,600 km² matching 80% or better

    For example Donghol-Sigon (75), Tougué (69)

  8. 8

    🇨🇮Savanes District, Ivory Coast

    2,400 sq mi6,100 km² matching 80% or better

    For example Tengréla (80), Niellé (75)

  9. 9

    🇲🇱Sikasso, Mali

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

    For example Kadiolo (78), Massiogo (78)

  10. 10

    🇲🇱Kayes, Mali

    900 sq mi2,300 km² matching 80% or better

    For example Sagalo (70)

  11. 11

    🇹🇿Mtwara, Tanzania

    600 sq mi1,500 km² matching 80% or better

    For example Nangomba (79), Masasi (73)

  12. 12

    🇬🇳Boké Region, Guinea

    300 sq mi800 km² matching 80% or better

    For example Wendou Borou (66), Koumbia (64)

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

    🇮🇳KalaburagiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 38 in rainZone 12a · No frost · 0 chill hours · 966 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  2. 2

    🇮🇳ShorāpurKarnataka, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 762 mm rain

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

    99%match
  3. 3

    🇮🇳UmargaMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 39 in rainZone 11b · No frost · 0 chill hours · 996 mm rain

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

    99%match
  4. 4

    🇮🇳AmīnpurTelangana, India

    Zone 11b · No frost · 0 chill hours · 38 in rainZone 11b · No frost · 0 chill hours · 967 mm rain

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

    99%match
  5. 5

    🇮🇳BasavakalyanKarnataka, India

    Zone 11b · No frost · 0 chill hours · 41 in rainZone 11b · No frost · 0 chill hours · 1,039 mm rain

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

    99%match
  6. 6

    🇮🇳VikārābādTelangana, India

    Zone 11b · No frost · 0 chill hours · 41 in rainZone 11b · No frost · 0 chill hours · 1,037 mm rain

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

    99%match
  7. 7

    🇮🇳HyderabadTelangana, India

    Zone 11b · No frost · 0 chill hours · 35 in rainZone 11b · No frost · 0 chill hours · 886 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  8. 8

    🇮🇳SindgiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 841 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  9. 9

    🇮🇳BidarKarnataka, India

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,093 mm rain

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

    99%match
  10. 10

    🇮🇳FarrukhnagarTelangana, India

    Zone 11b · No frost · 0 chill hours · 33 in rainZone 11b · No frost · 0 chill hours · 846 mm rain

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

    99%match
  11. 11

    🇮🇳LaturMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 38 in rainZone 11b · No frost · 0 chill hours · 969 mm rain

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

    99%match
  12. 12

    🇮🇳WanpartiTelangana, India

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 874 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  13. 13

    🇮🇳KalwākurtiTelangana, India

    Zone 11b · No frost · 0 chill hours · 31 in rainZone 11b · No frost · 0 chill hours · 792 mm rain

    Shares 15 of your 15 great-fit crops

    99%match
  14. 14

    🇮🇳BhongīrTelangana, India

    Zone 11b · No frost · 0 chill hours · 34 in rainZone 11b · No frost · 0 chill hours · 874 mm rain

    Shares 15 of your 15 great-fit crops

    98%match
  15. 15

    🇮🇳IndiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 785 mm rain

    Shares 15 of your 15 great-fit crops

    98%match
  16. 16

    🇮🇳UdgīrMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 43 in rainZone 11b · No frost · 0 chill hours · 1,101 mm rain

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

    98%match
  17. 17

    🇮🇳SholapurMaharashtra, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 764 mm rain

    Shares 15 of your 15 great-fit crops

    98%match
  18. 18

    🇮🇳VijayapuraKarnataka, India

    Zone 12a · No frost · 0 chill hours · 41 in rainZone 12a · No frost · 0 chill hours · 1,047 mm rain

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

    97%match
  19. 19

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

    97%match
  20. 20

    🇮🇳BhoomMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 33 in rainZone 11b · No frost · 0 chill hours · 829 mm rain

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

    97%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 Gurmatkāl: 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.