Climatch

Land with a climate like Ranebennur

🇮🇳Ranebennur, Karnataka, India

The towns with the closest growing climate to Ranebennur are Hubballi, India (99% match), Nargund and Chitradurga. About 202,000 sq mi of land in 9 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Maranhão, Brazil.The towns with the closest growing climate to Ranebennur are Hubballi, India (99% match), Nargund and Chitradurga. About 524,000 km² of land in 9 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Maranhão, Brazil.

Your growing climate

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

What grows in Ranebennur →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    52k sq mi135k km² matching 80% or better

    For example Kundgol (99), Jagalūr (99)

  2. 2

    🇧🇷Piauí, Brazil

    34k sq mi88k km² matching 80% or better

    For example Bom Jesus (90), Inhuma (89)

  3. 3

    🇧🇷Maranhão, Brazil

    14k sq mi36k km² matching 80% or better

    For example São Raimundo das Mangabeiras (84), Barão de Grajaú (83)

  4. 4

    🇮🇳Maharashtra, India

    13k sq mi33k km² matching 80% or better

    For example Kamatgi (97), Shiraguppi (97)

  5. 5

    🇮🇳Andhra Pradesh, India

    12k sq mi31k km² matching 80% or better

    For example Hindupur (95), Somandepalle (95)

  6. 6

    🇲🇲Magway, Myanmar

    9,000 sq mi23k km² matching 80% or better

    For example Taungdwingyi (85), Myaydo (81)

  7. 7

    🇲🇲Mandalay Region, Myanmar

    7,000 sq mi18k km² matching 80% or better

    For example Pyawbwe (85), Meiktila (85)

  8. 8

    🇧🇷Bahia, Brazil

    6,700 sq mi17k km² matching 80% or better

    For example Barreiras (83), São Desidério (81)

  9. 9

    🇹🇿Tabora, Tanzania

    4,800 sq mi12k km² matching 80% or better

    For example Urambo (80), Mabama (80)

  10. 10

    🇨🇫Ouham-Fafa, Central African Republic

    3,000 sq mi7,700 km² matching 80% or better

    For example Bouca (82), Batangafo (74)

  11. 11

    🇪🇹Gambela, Ethiopia

    3,000 sq mi7,700 km² matching 80% or better

    For example Gambēla (77)

  12. 12

    🇬🇳Kindia, Guinea

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

    For example Télimélé (82), Kolenté (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

    🇮🇳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

    99%match
  2. 2

    🇮🇳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
  3. 3

    🇮🇳ChitradurgaKarnataka, India

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

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

    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: wheat

    99%match
  5. 5

    🇮🇳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

    99%match
  6. 6

    🇮🇳KoppalKarnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 778 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  7. 7

    🇮🇳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

    99%match
  8. 8

    🇮🇳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: avocado, wheat

    98%match
  9. 9

    🇮🇳HosapeteKarnataka, India

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

    Shares 16 of your 16 great-fit crops

    97%match
  10. 10

    🇮🇳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

    97%match
  11. 11

    🇮🇳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

    97%match
  12. 12

    🇮🇳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

    96%match
  13. 13

    🇮🇳IlkalKarnataka, India

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

    Shares 16 of your 16 great-fit crops

    96%match
  14. 14

    🇮🇳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

    96%match
  15. 15

    🇮🇳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: wheat

    95%match
  16. 16

    🇮🇳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

    95%match
  17. 17

    🇮🇳BirūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 669 mm rain

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

    95%match
  18. 18

    🇮🇳TumkūrKarnataka, India

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

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

    94%match
  19. 19

    🇮🇳ShivamoggaKarnataka, India

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

    Shares 15 of your 16 great-fit crops · Also great there: wheat, avocado

    94%match
  20. 20

    🇮🇳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

    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 Ranebennur: 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.