Climatch

Land with a climate like Gorantla

🇮🇳Gorantla, Andhra Pradesh, India

The towns with the closest growing climate to Gorantla are Sīra, India (99% match), Koratagere and Madanapalle. About 199,000 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 Gorantla are Sīra, India (99% match), Koratagere and Madanapalle. About 516,000 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 · 26 in rainZone 12a · No frost · 0 chill hours · 669 mm rain

What grows in Gorantla →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    51k sq mi132k km² matching 80% or better

    For example Sīra (99), Koratagere (97)

  2. 2

    🇧🇷Piauí, Brazil

    29k sq mi76k km² matching 80% or better

    For example Valença do Piauí (90), Inhuma (90)

  3. 3

    🇮🇳Andhra Pradesh, India

    29k sq mi75k km² matching 80% or better

    For example Madanapalle (97), Kuppam (94)

  4. 4

    🇧🇷Maranhão, Brazil

    15k sq mi40k km² matching 80% or better

    For example Passagem Franca (85), Buriti Bravo (85)

  5. 5

    🇮🇳Telangana, India

    11k sq mi30k km² matching 80% or better

    For example Ghatkesar (85), Chautāpal (84)

  6. 6

    🇲🇲Magway, Myanmar

    11k sq mi29k km² matching 80% or better

    For example Taungdwingyi (92), Magway (88)

  7. 7

    🇲🇲Mandalay Region, Myanmar

    10k sq mi26k km² matching 80% or better

    For example Pyawbwe (91), Yamethin (91)

  8. 8

    🇲🇲Sagaing Region, Myanmar

    6,400 sq mi16k km² matching 80% or better

    For example Sagaing (87), Monywa (83)

  9. 9

    🇹🇭Lampang, Thailand

    4,000 sq mi10k km² matching 80% or better

    For example Thoen (89), Lampang (85)

  10. 10

    🇧🇷Ceará, Brazil

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

    For example Assaré (83), Farias Brito (83)

  11. 11

    🇹🇿Mtwara, Tanzania

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

    For example Lukuledi (86), Nanganga (84)

  12. 12

    🇹🇭Tak, Thailand

    1,400 sq mi3,700 km² matching 80% or better

    For example Ban Tak (84), Tak (78)

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

    🇮🇳SīraKarnataka, India

    Zone 12a · No frost · 0 chill hours · 22 in rainZone 12a · No frost · 0 chill hours · 569 mm rain

    Shares 14 of your 16 great-fit crops

    99%match
  2. 2

    🇮🇳KoratagereKarnataka, India

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

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

    97%match
  3. 3

    🇮🇳MadanapalleAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 692 mm rain

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

    97%match
  4. 4

    🇮🇳HosapeteKarnataka, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 766 mm rain

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

    96%match
  5. 5

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

    95%match
  6. 6

    🇮🇳KūdligiKarnataka, India

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

    Shares 16 of your 16 great-fit crops

    95%match
  7. 7

    🇮🇳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 16 great-fit crops

    95%match
  8. 8

    🇮🇳NaregalKarnataka, India

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 809 mm rain

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

    94%match
  9. 9

    🇮🇳HariharKarnataka, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 695 mm rain

    Shares 16 of your 16 great-fit crops

    94%match
  10. 10

    🇮🇳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

    94%match
  11. 11

    🇮🇳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: sugarcane

    94%match
  12. 12

    🇮🇳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

    94%match
  13. 13

    🇮🇳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

    94%match
  14. 14

    🇮🇳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 16 great-fit crops

    94%match
  15. 15

    🇮🇳ClosepetKarnataka, India

    Zone 12a · No frost · 0 chill hours · 32 in rainZone 12a · No frost · 0 chill hours · 812 mm rain

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

    93%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

    93%match
  17. 17

    🇮🇳PalmanerAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 836 mm rain

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

    93%match
  18. 18

    🇮🇳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

    93%match
  19. 19

    🇮🇳PīleruAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 768 mm rain

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

    93%match
  20. 20

    🇮🇳RobertsonpetKarnataka, 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 · Also great there: canola (rapeseed), avocado, barley

    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 Gorantla: 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.