Climatch

Land with a climate like Siruguppa

🇮🇳Siruguppa, Karnataka, India

The towns with the closest growing climate to Siruguppa are Dhone, India (99% match), Rāichūr and Uravakonda. About 208,000 sq mi of land in 11 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Telangana, India.The towns with the closest growing climate to Siruguppa are Dhone, India (99% match), Rāichūr and Uravakonda. About 539,000 km² of land in 11 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Telangana, India.

Your growing climate

Zone 12b · No frost · 0 chill hours · 28 in rainZone 12b · No frost · 0 chill hours · 722 mm rain

What grows in Siruguppa →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    40k sq mi104k km² matching 80% or better

    For example Shorāpur (99), Rāichūr (99)

  2. 2

    🇧🇷Piauí, Brazil

    34k sq mi88k km² matching 80% or better

    For example Oeiras (90), Picos (87)

  3. 3

    🇮🇳Telangana, India

    27k sq mi70k km² matching 80% or better

    For example Nārāyanpet (96), Mahbūbnagar (94)

  4. 4

    🇮🇳Andhra Pradesh, India

    25k sq mi65k km² matching 80% or better

    For example Dhone (99), Betamcherla (98)

  5. 5

    🇲🇲Magway, Myanmar

    3,900 sq mi10k km² matching 80% or better

    For example Taungdwingyi (81), Magway (80)

  6. 6

    🇹🇿Mtwara, Tanzania

    3,200 sq mi8,400 km² matching 80% or better

    For example Nangomba (83), Lukuledi (78)

  7. 7

    🇲🇲Mandalay Region, Myanmar

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

    For example Meiktila (80), Myingyan (80)

  8. 8

    🇨🇮Savanes District, Ivory Coast

    2,600 sq mi6,900 km² matching 80% or better

    For example Tengréla (81), Niellé (79)

  9. 9

    🇧🇷Maranhão, Brazil

    2,400 sq mi6,200 km² matching 80% or better

    For example Barão de Grajaú (82), Parnarama (73)

  10. 10

    🇲🇱Sikasso, Mali

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

    For example Kadiolo (80), Massiogo (80)

  11. 11

    🇪🇹Gambela, Ethiopia

    2,100 sq mi5,400 km² matching 80% or better

    For example Gambēla (78)

  12. 12

    🇲🇱Gao, Mali

    1,800 sq mi4,600 km² matching 80% or better

    For example Bamba (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

    🇮🇳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
  2. 2

    🇮🇳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

    99%match
  3. 3

    🇮🇳UravakondaAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 23 in rainZone 12b · No frost · 0 chill hours · 589 mm rain

    Shares 12 of your 15 great-fit crops

    98%match
  4. 4

    🇮🇳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
  5. 5

    🇮🇳YadgirKarnataka, India

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 820 mm rain

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

    97%match
  6. 6

    🇮🇳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
  7. 7

    🇮🇳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

    96%match
  8. 8

    🇮🇳IlkalKarnataka, India

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

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

    96%match
  9. 9

    🇮🇳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

    96%match
  10. 10

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

    95%match
  11. 11

    🇮🇳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

    95%match
  12. 12

    🇮🇳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

    95%match
  13. 13

    🇮🇳KurnoolAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 30 in rainZone 12b · No frost · 0 chill hours · 765 mm rain

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

    95%match
  14. 14

    🇮🇳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

    95%match
  15. 15

    🇮🇳MahbūbnagarTelangana, India

    Zone 12a · No frost · 0 chill hours · 37 in rainZone 12a · No frost · 0 chill hours · 929 mm rain

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

    94%match
  16. 16

    🇮🇳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 15 great-fit crops

    94%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

    🇮🇳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

    93%match
  19. 19

    🇮🇳AtmakūrAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 39 in rainZone 12a · No frost · 0 chill hours · 989 mm rain

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

    93%match
  20. 20

    🇮🇳Nāgar KarnūlTelangana, India

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 840 mm rain

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

    93%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 Siruguppa: 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.