Climatch

Land with a climate like Khānāpur

🇮🇳Khānāpur, Karnataka, India

The towns with the closest growing climate to Khānāpur are Yellāpur, India (99% match), Sirsi and Shahuwadi. About 44,000 sq mi of land in 7 countries matches 80% or better, most of it in Karnataka, India, Maharashtra, India and Kindia, Guinea.The towns with the closest growing climate to Khānāpur are Yellāpur, India (99% match), Sirsi and Shahuwadi. About 114,000 km² of land in 7 countries matches 80% or better, most of it in Karnataka, India, Maharashtra, India and Kindia, Guinea.

Your growing climate

Zone 12a · No frost · 0 chill hours · 91 in rainZone 12a · No frost · 0 chill hours · 2,317 mm rain

What grows in Khānāpur →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    18k sq mi47k km² matching 80% or better

    For example Yellāpur (99), Sirsi (98)

  2. 2

    🇮🇳Maharashtra, India

    8,600 sq mi22k km² matching 80% or better

    For example Shahuwadi (98), Koynanagar (98)

  3. 3

    🇬🇳Kindia, Guinea

    4,100 sq mi11k km² matching 80% or better

    For example Télimélé (90), Kindia (81)

  4. 4

    🇬🇳Mamou Region, Guinea

    3,500 sq mi9,100 km² matching 80% or better

    For example Pita (88), Mamou (83)

  5. 5

    🇬🇳Labé Region, Guinea

    2,600 sq mi6,800 km² matching 80% or better

    For example Labé (80), Donghol-Sigon (77)

  6. 6

    🇲🇲Bago Region, Myanmar

    2,000 sq mi5,100 km² matching 80% or better

    For example Paungde (68), Zigon (68)

  7. 7

    🇪🇹Oromiya, Ethiopia

    600 sq mi1,500 km² matching 80% or better

    For example Gutin (58), Mendī (54)

  8. 8

    🇧🇷Tocantins, Brazil

    600 sq mi1,500 km² matching 80% or better

    For example Dianópolis (80), Porto Nacional (66)

  9. 9

    🇸🇻Santa Ana Department, El Salvador

    600 sq mi1,500 km² matching 80% or better

    For example Santa Ana (79), Chalchuapa (79)

  10. 10

    🇧🇷Bahia, Brazil

    300 sq mi800 km² matching 80% or better

    For example Luis Eduardo Magalhães (73), São Desidério (67)

  11. 11

    🇬🇹Jutiapa, Guatemala

    300 sq mi800 km² matching 80% or better

    For example Jutiapa (82), Jalpatagua (79)

  12. 12

    🇮🇳Goa, India

    300 sq mi700 km² matching 80% or better

    For example Cuncolim (60), Mapusa (51)

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

    🇮🇳YellāpurKarnataka, India

    Zone 12a · No frost · 0 chill hours · 98 in rainZone 12a · No frost · 0 chill hours · 2,482 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  2. 2

    🇮🇳SirsiKarnataka, India

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

    Shares 16 of your 19 great-fit crops

    98%match
  3. 3

    🇮🇳ShahuwadiMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 81 in rainZone 11b · No frost · 0 chill hours · 2,052 mm rain

    Shares 17 of your 19 great-fit crops

    98%match
  4. 4

    🇮🇳KoynanagarMaharashtra, India

    Zone 12a · No frost · 0 chill hours · 97 in rainZone 12a · No frost · 0 chill hours · 2,462 mm rain

    Shares 19 of your 19 great-fit crops

    98%match
  5. 5

    🇮🇳SāgarKarnataka, India

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

    Shares 14 of your 19 great-fit crops

    96%match
  6. 6

    🇮🇳ChikmagalūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 67 in rainZone 12a · No frost · 0 chill hours · 1,703 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: coffee (arabica), potato, banana

    93%match
  7. 7

    🇮🇳TīrthahalliKarnataka, India

    Zone 12a · No frost · 0 chill hours · 153 in rainZone 12a · No frost · 0 chill hours · 3,893 mm rain

    Shares 12 of your 19 great-fit crops

    92%match
  8. 8

    🇮🇳HirekerūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 39 in rainZone 12a · No frost · 0 chill hours · 991 mm rain

    Shares 15 of your 19 great-fit crops · Also great there: fig

    92%match
  9. 9

    🇮🇳NipāniMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 46 in rainZone 11b · No frost · 0 chill hours · 1,177 mm rain

    Shares 15 of your 19 great-fit crops · Also great there: fig

    91%match
  10. 10

    🇮🇳SakleshpurKarnataka, India

    Zone 12a · No frost · 0 chill hours · 116 in rainZone 12a · No frost · 0 chill hours · 2,957 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: potato, coffee (arabica), tea

    91%match
  11. 11

    🇮🇳KushālnagarKarnataka, India

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,532 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: cacao, coffee (arabica), banana

    90%match
  12. 12

    🇬🇳TéliméléKindia, Guinea

    Zone 12a · No frost · 0 chill hours · 83 in rainZone 12a · No frost · 0 chill hours · 2,112 mm rain

    Shares 15 of your 19 great-fit crops

    90%match
  13. 13

    🇮🇳ShivamoggaKarnataka, India

    Zone 12a · No frost · 0 chill hours · 41 in rainZone 12a · No frost · 0 chill hours · 1,050 mm rain

    Shares 16 of your 19 great-fit crops · Also great there: fig

    89%match
  14. 14

    🇬🇳PitaMamou Region, Guinea

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,660 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: potato, coffee (arabica)

    88%match
  15. 15

    🇮🇳ShiggaonKarnataka, India

    Zone 12a · No frost · 0 chill hours · 37 in rainZone 12a · No frost · 0 chill hours · 944 mm rain

    Shares 15 of your 19 great-fit crops · Also great there: fig, table and raisin grapes

    87%match
  16. 16

    🇮🇳WaiMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 41 in rainZone 11b · No frost · 0 chill hours · 1,035 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: fig

    84%match
  17. 17

    🇮🇳KarādMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 34 in rainZone 11b · No frost · 0 chill hours · 864 mm rain

    Shares 15 of your 19 great-fit crops · Also great there: fig, table and raisin grapes

    83%match
  18. 18

    🇬🇳MamouMamou Region, Guinea

    Zone 12a · No frost · 0 chill hours · 65 in rainZone 12a · No frost · 0 chill hours · 1,650 mm rain

    Shares 18 of your 19 great-fit crops

    83%match
  19. 19

    🇮🇳KharakvaslaMaharashtra, India

    Zone 11a · No frost · 0 chill hours · 52 in rainZone 11a · No frost · 0 chill hours · 1,314 mm rain

    Shares 16 of your 19 great-fit crops · Also great there: fig

    82%match
  20. 20

    🇬🇹JutiapaGuatemala

    Zone 12a · No frost · 0 chill hours · 56 in rainZone 12a · No frost · 0 chill hours · 1,434 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: fig

    82%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 Khānāpur: 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.