Climatch

Land with a climate like Amīngarh

🇮🇳Amīngarh, Karnataka, India

The towns with the closest growing climate to Amīngarh are Gadag-Betageri, India (99% match), Hosapete and Rabkavi-Banhatti. About 185,000 sq mi of land in 9 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Maharashtra, India.The towns with the closest growing climate to Amīngarh are Gadag-Betageri, India (99% match), Hosapete and Rabkavi-Banhatti. About 480,000 km² of land in 9 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 · 30 in rainZone 12a · No frost · 0 chill hours · 762 mm rain

What grows in Amīngarh →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    49k sq mi126k km² matching 80% or better

    For example Jamkhandi (99), Koppal (99)

  2. 2

    🇧🇷Piauí, Brazil

    29k sq mi75k km² matching 80% or better

    For example Valença do Piauí (87), Inhuma (87)

  3. 3

    🇮🇳Maharashtra, India

    27k sq mi69k km² matching 80% or better

    For example Naldurg (95), Shiraguppi (94)

  4. 4

    🇮🇳Telangana, India

    19k sq mi50k km² matching 80% or better

    For example Ghatkesar (90), Mahbūbnagar (90)

  5. 5

    🇧🇷Maranhão, Brazil

    5,100 sq mi13k km² matching 80% or better

    For example Barão de Grajaú (81), São João dos Patos (80)

  6. 6

    🇲🇲Mandalay Region, Myanmar

    4,500 sq mi12k km² matching 80% or better

    For example Pyawbwe (84), Yamethin (84)

  7. 7

    🇲🇲Magway, Myanmar

    3,700 sq mi9,500 km² matching 80% or better

    For example Taungdwingyi (83), Magway (77)

  8. 8

    🇬🇳Labé Region, Guinea

    3,200 sq mi8,300 km² matching 80% or better

    For example Donghol-Sigon (79), Tougué (73)

  9. 9

    🇹🇿Shinyanga, Tanzania

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

    For example Shinyanga (83), Old Shinyanga (83)

  10. 10

    🇪🇹Gambela, Ethiopia

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

    For example Gambēla (79)

  11. 11

    🇬🇳Faranah, Guinea

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

    For example Dabola (83), Bissikrima (80)

  12. 12

    🇲🇱Gao, Mali

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

    For example Bamba (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

    🇮🇳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
  2. 2

    🇮🇳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

    99%match
  3. 3

    🇮🇳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
  4. 4

    🇮🇳KūdligiKarnataka, India

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

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

    99%match
  5. 5

    🇮🇳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

    98%match
  6. 6

    🇮🇳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 16 great-fit crops

    98%match
  7. 7

    🇮🇳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

    97%match
  8. 8

    🇮🇳RanebennurKarnataka, India

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

    Shares 16 of your 16 great-fit crops

    97%match
  9. 9

    🇮🇳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 16 great-fit crops

    97%match
  10. 10

    🇮🇳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

    96%match
  11. 11

    🇮🇳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

    96%match
  12. 12

    🇮🇳ShāhpurKarnataka, India

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 801 mm rain

    Shares 15 of your 16 great-fit crops

    96%match
  13. 13

    🇮🇳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
  14. 14

    🇮🇳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

    96%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: avocado, wheat

    95%match
  16. 16

    🇮🇳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

    95%match
  17. 17

    🇮🇳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: wheat

    95%match
  18. 18

    🇮🇳AdoniAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 31 in rainZone 12b · No frost · 0 chill hours · 790 mm rain

    Shares 16 of your 16 great-fit crops

    95%match
  19. 19

    🇮🇳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

    95%match
  20. 20

    🇮🇳SaundattiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 41 in rainZone 12a · No frost · 0 chill hours · 1,039 mm rain

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

    95%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 Amīngarh: 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.