Climatch

Land with a climate like Ashta, India

🇮🇳Ashta, Maharashtra, India

The towns with the closest growing climate to Ashta, India are Gokak, India (99% match), Satara and Rabkavi-Banhatti. About 107,000 sq mi of land in 5 countries matches 80% or better, most of it in Karnataka, India, Maharashtra, India and Piauí, Brazil.The towns with the closest growing climate to Ashta, India are Gokak, India (99% match), Satara and Rabkavi-Banhatti. About 277,000 km² of land in 5 countries matches 80% or better, most of it in Karnataka, India, Maharashtra, India and Piauí, Brazil.

Your growing climate

Zone 11b · No frost · 0 chill hours · 31 in rainZone 11b · No frost · 0 chill hours · 778 mm rain

What grows in Ashta, India →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    42k sq mi108k km² matching 80% or better

    For example Gokak (99), Mudalgi (99)

  2. 2

    🇮🇳Maharashtra, India

    23k sq mi60k km² matching 80% or better

    For example Kodoli (99), Godoli (99)

  3. 3

    🇧🇷Piauí, Brazil

    11k sq mi29k km² matching 80% or better

    For example Inhuma (80), Uruçuí (77)

  4. 4

    🇮🇳Andhra Pradesh, India

    3,500 sq mi9,000 km² matching 80% or better

    For example Penukonda (82), Somandepalle (82)

  5. 5

    🇹🇿Tabora, Tanzania

    3,300 sq mi8,500 km² matching 80% or better

    For example Tumbi (80), Mabama (78)

  6. 6

    🇲🇲Magway, Myanmar

    3,100 sq mi8,000 km² matching 80% or better

    For example Taungdwingyi (78), Yenangyaung (77)

  7. 7

    🇲🇲Mandalay Region, Myanmar

    2,800 sq mi7,200 km² matching 80% or better

    For example Kyaukpadaung (85), Nyaung-U (78)

  8. 8

    🇬🇳Labé Region, Guinea

    2,300 sq mi6,100 km² matching 80% or better

    For example Donghol-Sigon (78), Tougué (75)

  9. 9

    🇹🇿Kigoma, Tanzania

    900 sq mi2,300 km² matching 80% or better

    For example Nguruka (75), Uvinza (62)

  10. 10

    🇹🇿Katavi, Tanzania

    900 sq mi2,300 km² matching 80% or better

    For example Mpanda (77), Usevia (60)

  11. 11

    🇬🇳Kindia, Guinea

    900 sq mi2,300 km² matching 80% or better

    For example Télimélé (79), Kindia (67)

  12. 12

    🇧🇷Maranhão, Brazil

    600 sq mi1,500 km² matching 80% or better

    For example Paraibano (67), Pastos Bons (67)

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

    🇮🇳GokakKarnataka, India

    Zone 12a · No frost · 0 chill hours · 38 in rainZone 12a · No frost · 0 chill hours · 972 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: avocado

    99%match
  2. 2

    🇮🇳SataraMaharashtra, India

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

    Shares 16 of your 17 great-fit crops · Also great there: canola (rapeseed), avocado, barley

    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 17 of your 17 great-fit crops

    97%match
  4. 4

    🇮🇳SaundattiKarnataka, India

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

    Shares 16 of your 17 great-fit crops · Also great there: avocado

    95%match
  5. 5

    🇮🇳HubballiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 895 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: avocado

    95%match
  6. 6

    🇮🇳PuneMaharashtra, India

    Zone 11a · No frost · 0 chill hours · 37 in rainZone 11a · No frost · 0 chill hours · 949 mm rain

    Shares 17 of your 17 great-fit crops

    95%match
  7. 7

    🇮🇳HāveriKarnataka, India

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

    Shares 17 of your 17 great-fit crops

    94%match
  8. 8

    🇮🇳MhaswadMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 26 in rainZone 11b · No frost · 0 chill hours · 658 mm rain

    Shares 15 of your 17 great-fit crops

    94%match
  9. 9

    🇮🇳ChitradurgaKarnataka, India

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

    Shares 14 of your 17 great-fit crops

    93%match
  10. 10

    🇮🇳GadhinglajMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,648 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: avocado, canola (rapeseed)

    93%match
  11. 11

    🇮🇳DavangereKarnataka, India

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

    Shares 15 of your 17 great-fit crops

    93%match
  12. 12

    🇮🇳ChannagiriKarnataka, India

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 619 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: canola (rapeseed)

    92%match
  13. 13

    🇮🇳HadagalliKarnataka, India

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 719 mm rain

    Shares 15 of your 17 great-fit crops

    92%match
  14. 14

    🇮🇳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 17 great-fit crops

    91%match
  15. 15

    🇮🇳Gadag-BetageriKarnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 781 mm rain

    Shares 17 of your 17 great-fit crops

    91%match
  16. 16

    🇮🇳KalambMaharashtra, India

    Zone 11a · No frost · 0 chill hours · 31 in rainZone 11a · No frost · 0 chill hours · 786 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: canola (rapeseed)

    91%match
  17. 17

    🇮🇳HaliyalKarnataka, India

    Zone 12a · No frost · 0 chill hours · 59 in rainZone 12a · No frost · 0 chill hours · 1,492 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado

    90%match
  18. 18

    🇮🇳MundgodKarnataka, India

    Zone 12a · No frost · 0 chill hours · 51 in rainZone 12a · No frost · 0 chill hours · 1,291 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado

    90%match
  19. 19

    🇮🇳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 17 great-fit crops

    89%match
  20. 20

    🇮🇳BārāmatiMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 21 in rainZone 11b · No frost · 0 chill hours · 541 mm rain

    Shares 14 of your 17 great-fit crops

    89%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 Ashta, India: 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.