Climatch

Land with a climate like Koppal

🇮🇳Koppal, Karnataka, India

The towns with the closest growing climate to Koppal are Jagalūr, India (99% match), Lingsugūr and Nargund. About 202,000 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 Koppal are Jagalūr, India (99% match), Lingsugūr and Nargund. About 524,000 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 · 31 in rainZone 12a · No frost · 0 chill hours · 778 mm rain

What grows in Koppal →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    53k sq mi137k km² matching 80% or better

    For example Amīngarh (99), Mudgal (99)

  2. 2

    🇧🇷Piauí, Brazil

    41k sq mi105k km² matching 80% or better

    For example Valença do Piauí (92), Inhuma (91)

  3. 3

    🇮🇳Maharashtra, India

    23k sq mi60k km² matching 80% or better

    For example Kamatgi (99), Shiraguppi (94)

  4. 4

    🇮🇳Andhra Pradesh, India

    21k sq mi55k km² matching 80% or better

    For example Penukonda (98), Somandepalle (98)

  5. 5

    🇧🇷Maranhão, Brazil

    11k sq mi28k km² matching 80% or better

    For example Barão de Grajaú (86), Passagem Franca (84)

  6. 6

    🇲🇲Magway, Myanmar

    9,800 sq mi25k km² matching 80% or better

    For example Taungdwingyi (86), Magway (83)

  7. 7

    🇲🇲Mandalay Region, Myanmar

    8,700 sq mi22k km² matching 80% or better

    For example Meiktila (89), Pyawbwe (88)

  8. 8

    🇪🇹Gambela, Ethiopia

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

    For example Gambēla (79)

  9. 9

    🇬🇳Kindia, Guinea

    2,100 sq mi5,300 km² matching 80% or better

    For example Télimélé (79), Kolenté (76)

  10. 10

    🇬🇳Labé Region, Guinea

    1,200 sq mi3,000 km² matching 80% or better

    For example Donghol-Sigon (75), Tougué (65)

  11. 11

    🇲🇲Sagaing Region, Myanmar

    1,100 sq mi2,900 km² matching 80% or better

    For example Sagaing (80), Monywa (78)

  12. 12

    🇹🇿Mtwara, Tanzania

    900 sq mi2,300 km² matching 80% or better

    For example Nangomba (81), Lukuledi (80)

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

    🇮🇳JagalūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 618 mm rain

    Shares 13 of your 16 great-fit crops · Also great there: wheat

    99%match
  2. 2

    🇮🇳LingsugūrKarnataka, India

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

    Shares 16 of your 16 great-fit crops

    99%match
  3. 3

    🇮🇳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: wheat

    99%match
  4. 4

    🇮🇳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

    99%match
  5. 5

    🇮🇳MuddebihālKarnataka, India

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

    Shares 16 of your 16 great-fit crops

    98%match
  6. 6

    🇮🇳MolakālumuruKarnataka, India

    Zone 12a · No frost · 0 chill hours · 21 in rainZone 12a · No frost · 0 chill hours · 539 mm rain

    Shares 13 of your 16 great-fit crops

    98%match
  7. 7

    🇮🇳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: wheat

    98%match
  8. 8

    🇮🇳DavangereKarnataka, India

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

    Shares 14 of your 16 great-fit crops · Also great there: wheat

    98%match
  9. 9

    🇮🇳BallariKarnataka, India

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 603 mm rain

    Shares 13 of your 16 great-fit crops

    97%match
  10. 10

    🇮🇳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
  11. 11

    🇮🇳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 16 great-fit crops

    97%match
  12. 12

    🇮🇳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: avocado, wheat

    96%match
  13. 13

    🇮🇳HāveriKarnataka, India

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 851 mm rain

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

    96%match
  14. 14

    🇮🇳SīraKarnataka, 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 · Also great there: wheat

    96%match
  15. 15

    🇮🇳ChallakereKarnataka, India

    Zone 12a · No frost · 0 chill hours · 20 in rainZone 12a · No frost · 0 chill hours · 499 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: banana, cacao, date palm

    95%match
  16. 16

    🇮🇳KalyandurgAndhra Pradesh, India

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

    Shares 16 of your 16 great-fit crops · Also great there: banana, cacao, date palm

    94%match
  17. 17

    🇮🇳KadiriAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 684 mm rain

    Shares 14 of your 16 great-fit crops

    94%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 16 great-fit crops · Also great there: wheat

    94%match
  19. 19

    🇮🇳GuntakalAndhra Pradesh, India

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

    Shares 14 of your 16 great-fit crops

    94%match
  20. 20

    🇮🇳HosadurgaKarnataka, India

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

    Shares 13 of your 16 great-fit crops · Also great there: wheat

    93%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 Koppal: 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.