Climatch

Land with a climate like Tāsgaon

🇮🇳Tāsgaon, Maharashtra, India

The towns with the closest growing climate to Tāsgaon are Kodoli, India (98% match), Gokak and Rabkavi-Banhatti. About 108,000 sq mi of land in 6 countries matches 80% or better, most of it in Karnataka, India, Maharashtra, India and Piauí, Brazil.The towns with the closest growing climate to Tāsgaon are Kodoli, India (98% match), Gokak and Rabkavi-Banhatti. About 281,000 km² of land in 6 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 · 28 in rainZone 11b · No frost · 0 chill hours · 721 mm rain

What grows in Tāsgaon →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    38k sq mi99k km² matching 80% or better

    For example Terdāl (97), Gokak (97)

  2. 2

    🇮🇳Maharashtra, India

    32k sq mi84k km² matching 80% or better

    For example Koregaon (99), Rahimatpur (99)

  3. 3

    🇧🇷Piauí, Brazil

    12k sq mi31k km² matching 80% or better

    For example Bom Jesus (78), Inhuma (77)

  4. 4

    🇮🇳Andhra Pradesh, India

    7,500 sq mi19k km² matching 80% or better

    For example Kalyandurg (84), Rāyadrug (84)

  5. 5

    🇲🇲Magway, Myanmar

    2,200 sq mi5,800 km² matching 80% or better

    For example Yenangyaung (77), Taungdwingyi (77)

  6. 6

    🇲🇲Mandalay Region, Myanmar

    2,200 sq mi5,800 km² matching 80% or better

    For example Kyaukpadaung (83), Nyaung-U (78)

  7. 7

    🇹🇿Tabora, Tanzania

    600 sq mi1,500 km² matching 80% or better

    For example Tumbi (78), Mabama (77)

  8. 8

    🇹🇿Katavi, Tanzania

    600 sq mi1,500 km² matching 80% or better

    For example Mpanda (79), Usevia (66)

  9. 9

    🇪🇹Oromiya, Ethiopia

    600 sq mi1,500 km² matching 80% or better

  10. 10

    🇬🇳Labé Region, Guinea

    600 sq mi1,500 km² matching 80% or better

    For example Donghol-Sigon (74), Tougué (72)

  11. 11

    🇬🇳Faranah, Guinea

    600 sq mi1,500 km² matching 80% or better

    For example Dabola (75), Bissikrima (74)

  12. 12

    🇧🇷Maranhão, Brazil

    300 sq mi800 km² matching 80% or better

    For example Barão de Grajaú (64), Paraibano (63)

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

    🇮🇳KodoliMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 34 in rainZone 11b · No frost · 0 chill hours · 872 mm rain

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

    98%match
  2. 2

    🇮🇳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: sugarcane, avocado

    97%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: sugarcane

    96%match
  4. 4

    🇮🇳AklūjMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 24 in rainZone 11b · No frost · 0 chill hours · 617 mm rain

    Shares 14 of your 16 great-fit crops

    94%match
  5. 5

    🇮🇳PuneMaharashtra, India

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

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

    94%match
  6. 6

    🇮🇳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 16 great-fit crops

    94%match
  7. 7

    🇮🇳PandharpurMaharashtra, India

    Zone 11b · No frost · 0 chill hours · 28 in rainZone 11b · No frost · 0 chill hours · 701 mm rain

    Shares 15 of your 16 great-fit crops

    94%match
  8. 8

    🇮🇳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: sugarcane

    93%match
  9. 9

    🇮🇳SirūrMaharashtra, India

    Zone 11a · No frost · 0 chill hours · 22 in rainZone 11a · No frost · 0 chill hours · 547 mm rain

    Shares 14 of your 16 great-fit crops

    93%match
  10. 10

    🇮🇳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: sugarcane

    92%match
  11. 11

    🇮🇳KoppalKarnataka, India

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

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

    92%match
  12. 12

    🇮🇳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: sugarcane, avocado

    92%match
  13. 13

    🇮🇳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: sugarcane, avocado

    92%match
  14. 14

    🇮🇳MuddebihālKarnataka, India

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

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

    92%match
  15. 15

    🇮🇳ShrīgondaMaharashtra, India

    Zone 11a · No frost · 0 chill hours · 23 in rainZone 11a · No frost · 0 chill hours · 578 mm rain

    Shares 14 of your 16 great-fit crops

    92%match
  16. 16

    🇮🇳LingsugūrKarnataka, India

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

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

    92%match
  17. 17

    🇮🇳KushtagiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 852 mm rain

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

    91%match
  18. 18

    🇮🇳GangavatiKarnataka, India

    Zone 12b · No frost · 0 chill hours · 28 in rainZone 12b · No frost · 0 chill hours · 713 mm rain

    Shares 15 of your 16 great-fit crops

    91%match
  19. 19

    🇮🇳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 16 great-fit crops

    91%match
  20. 20

    🇮🇳HarpanahalliKarnataka, India

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 726 mm rain

    Shares 16 of your 16 great-fit crops

    91%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 Tāsgaon: 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.