Climatch

Land with a climate like Sindhnūr

🇮🇳Sindhnūr, Karnataka, India

The towns with the closest growing climate to Sindhnūr are Guntakal, India (99% match), Dhone and Emmiganūr. About 183,000 sq mi of land in 7 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Andhra Pradesh, India.The towns with the closest growing climate to Sindhnūr are Guntakal, India (99% match), Dhone and Emmiganūr. About 474,000 km² of land in 7 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Andhra Pradesh, India.

Your growing climate

Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 698 mm rain

What grows in Sindhnūr →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    41k sq mi105k km² matching 80% or better

    For example Shorāpur (99), Devadurga (98)

  2. 2

    🇧🇷Piauí, Brazil

    31k sq mi81k km² matching 80% or better

    For example Oeiras (88), Canto do Buriti (86)

  3. 3

    🇮🇳Andhra Pradesh, India

    25k sq mi64k km² matching 80% or better

    For example Guntakal (99), Dhone (99)

  4. 4

    🇮🇳Maharashtra, India

    24k sq mi63k km² matching 80% or better

    For example Kamatgi (97), Pandharpur (95)

  5. 5

    🇲🇲Magway, Myanmar

    5,300 sq mi14k km² matching 80% or better

    For example Pakokku (83), Magway (82)

  6. 6

    🇲🇲Mandalay Region, Myanmar

    4,500 sq mi12k km² matching 80% or better

    For example Nyaung-U (83), Myingyan (80)

  7. 7

    🇹🇿Mtwara, Tanzania

    2,100 sq mi5,300 km² matching 80% or better

    For example Nangomba (80), Lukuledi (75)

  8. 8

    🇧🇷Maranhão, Brazil

    1,200 sq mi3,100 km² matching 80% or better

    For example Barão de Grajaú (78), Parnarama (68)

  9. 9

    🇹🇿Katavi, Tanzania

    900 sq mi2,300 km² matching 80% or better

    For example Mpanda (80), Usevia (73)

  10. 10

    🇪🇹Gambela, Ethiopia

    900 sq mi2,300 km² matching 80% or better

    For example Gambēla (75)

  11. 11

    🇲🇲Sagaing Region, Myanmar

    600 sq mi1,400 km² matching 80% or better

    For example Sagaing (77), Monywa (77)

  12. 12

    🇹🇿Shinyanga, Tanzania

    300 sq mi800 km² matching 80% or better

    For example Tinde (79), Shinyanga (79)

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

    🇮🇳GuntakalAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 27 in rainZone 12b · No frost · 0 chill hours · 687 mm rain

    Shares 14 of your 15 great-fit crops

    99%match
  2. 2

    🇮🇳DhoneAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 27 in rainZone 12b · No frost · 0 chill hours · 698 mm rain

    Shares 14 of your 15 great-fit crops

    99%match
  3. 3

    🇮🇳EmmiganūrAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 29 in rainZone 12b · No frost · 0 chill hours · 748 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: sugarcane

    99%match
  4. 4

    🇮🇳RāichūrKarnataka, India

    Zone 12b · No frost · 0 chill hours · 32 in rainZone 12b · No frost · 0 chill hours · 807 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: sugarcane

    98%match
  5. 5

    🇮🇳ShāhpurKarnataka, India

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

    Shares 14 of your 15 great-fit crops · Also great there: sugarcane

    98%match
  6. 6

    🇮🇳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 15 great-fit crops · Also great there: sugarcane

    97%match
  7. 7

    🇮🇳AnantapurAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 23 in rainZone 12b · No frost · 0 chill hours · 596 mm rain

    Shares 12 of your 15 great-fit crops

    97%match
  8. 8

    🇮🇳SandūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 740 mm rain

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

    97%match
  9. 9

    🇮🇳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 15 great-fit crops · Also great there: sugarcane

    97%match
  10. 10

    🇮🇳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 15 great-fit crops

    97%match
  11. 11

    🇮🇳RāyadrugAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 19 in rainZone 12a · No frost · 0 chill hours · 485 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: banana, sugarcane, cacao

    97%match
  12. 12

    🇮🇳SrīsailainAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 855 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: sugarcane

    96%match
  13. 13

    🇮🇳IndiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 785 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: sugarcane

    96%match
  14. 14

    🇮🇳SindgiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 841 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: sugarcane

    95%match
  15. 15

    🇮🇳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 15 great-fit crops

    95%match
  16. 16

    🇮🇳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 15 great-fit crops

    95%match
  17. 17

    🇮🇳GadwālTelangana, India

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 830 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: sugarcane

    94%match
  18. 18

    🇮🇳NārāyanpetTelangana, India

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 857 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: sugarcane

    94%match
  19. 19

    🇮🇳SholapurMaharashtra, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 764 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: sugarcane

    94%match
  20. 20

    🇮🇳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 15 great-fit crops · Also great there: wheat

    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 Sindhnūr: 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.