Climatch

Land with a climate like Hindupur

🇮🇳Hindupur, Andhra Pradesh, India

The towns with the closest growing climate to Hindupur are Kadiri, India (99% match), Hiriyūr and Hosapete. 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 Hindupur are Kadiri, India (99% match), Hiriyūr and Hosapete. 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 · 27 in rainZone 12a · No frost · 0 chill hours · 687 mm rain

What grows in Hindupur →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    51k sq mi133k km² matching 80% or better

    For example Hiriyūr (97), Navalgund (97)

  2. 2

    🇧🇷Piauí, Brazil

    31k sq mi80k km² matching 80% or better

    For example Valença do Piauí (90), Inhuma (89)

  3. 3

    🇮🇳Andhra Pradesh, India

    25k sq mi64k km² matching 80% or better

    For example Kadiri (99), Madanapalle (95)

  4. 4

    🇧🇷Maranhão, Brazil

    18k sq mi48k km² matching 80% or better

    For example Passagem Franca (87), Buriti Bravo (86)

  5. 5

    🇲🇲Magway, Myanmar

    11k sq mi29k km² matching 80% or better

    For example Taungdwingyi (92), Magway (88)

  6. 6

    🇲🇲Mandalay Region, Myanmar

    10k sq mi26k km² matching 80% or better

    For example Pyawbwe (92), Yamethin (92)

  7. 7

    🇮🇳Tamil Nadu, India

    9,100 sq mi23k km² matching 80% or better

    For example Pennāgaram (91), Avalēpalli (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 (90), Lampang (86)

  10. 10

    🇹🇭Chaiyaphum, Thailand

    3,400 sq mi8,900 km² matching 80% or better

    For example Phu Khiao (83), Kaset Sombun (82)

  11. 11

    🇹🇿Mtwara, Tanzania

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

    For example Lukuledi (85), Nanganga (84)

  12. 12

    🇹🇭Tak, Thailand

    1,700 sq mi4,400 km² matching 80% or better

    For example Ban Tak (85), Tak (80)

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

    🇮🇳KadiriAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 27 in rainZone 12a · No frost · 0 chill hours · 684 mm rain

    Shares 14 of your 15 great-fit crops

    99%match
  2. 2

    🇮🇳HiriyūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 21 in rainZone 12a · No frost · 0 chill hours · 531 mm rain

    Shares 13 of your 15 great-fit crops

    97%match
  3. 3

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

    97%match
  4. 4

    🇮🇳Gadag-BetageriKarnataka, India

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

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

    96%match
  5. 5

    🇮🇳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

    96%match
  6. 6

    🇮🇳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

    96%match
  7. 7

    🇮🇳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
  8. 8

    🇮🇳NargundKarnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 783 mm rain

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

    96%match
  9. 9

    🇮🇳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

    96%match
  10. 10

    🇮🇳DavangereKarnataka, India

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

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

    95%match
  11. 11

    🇮🇳HarpanahalliKarnataka, India

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

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

    95%match
  12. 12

    🇮🇳MadanapalleAndhra Pradesh, India

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

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

    95%match
  13. 13

    🇮🇳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
  14. 14

    🇮🇳Rabkavi-BanhattiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 792 mm rain

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

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

    94%match
  16. 16

    🇮🇳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 15 great-fit crops

    94%match
  17. 17

    🇮🇳ChiknāyakanhalliKarnataka, India

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 613 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: wheat, canola (rapeseed), barley

    93%match
  18. 18

    🇮🇳ChallakereKarnataka, India

    Zone 12a · No frost · 0 chill hours · 20 in rainZone 12a · No frost · 0 chill hours · 499 mm rain

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

    93%match
  19. 19

    🇮🇳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 15 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 15 of your 15 great-fit crops · Also great there: wheat, canola (rapeseed), avocado

    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 Hindupur: 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.