Climatch

Land with a climate like Punganūru

🇮🇳Punganūru, Andhra Pradesh, India

The towns with the closest growing climate to Punganūru are Sidlaghatta, India (97% match), Closepet and Bengaluru. About 143,000 sq mi of land in 6 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Maranhão, Brazil.The towns with the closest growing climate to Punganūru are Sidlaghatta, India (97% match), Closepet and Bengaluru. About 371,000 km² of land in 6 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Maranhão, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 742 mm rain

What grows in Punganūru →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    29k sq mi76k km² matching 80% or better

    For example Kanakapura (98), Bāgepalli (97)

  2. 2

    🇧🇷Piauí, Brazil

    18k sq mi46k km² matching 80% or better

    For example Valença do Piauí (87), Inhuma (86)

  3. 3

    🇧🇷Maranhão, Brazil

    16k sq mi41k km² matching 80% or better

    For example Estreito (85), Buriti Bravo (85)

  4. 4

    🇮🇳Andhra Pradesh, India

    12k sq mi31k km² matching 80% or better

    For example Gorantla (94), Tirumala (93)

  5. 5

    🇮🇳Tamil Nadu, India

    11k sq mi30k km² matching 80% or better

    For example Avalēpalli (98), Mūkondapalli (98)

  6. 6

    🇲🇲Mandalay Region, Myanmar

    11k sq mi28k km² matching 80% or better

    For example Kyaukpadaung (87), Meiktila (86)

  7. 7

    🇲🇲Magway, Myanmar

    10k sq mi26k km² matching 80% or better

    For example Taungdwingyi (84), Magway (81)

  8. 8

    🇲🇲Sagaing Region, Myanmar

    5,200 sq mi14k km² matching 80% or better

    For example Sagaing (83), Ye-u (81)

  9. 9

    🇹🇭Lampang, Thailand

    4,600 sq mi12k km² matching 80% or better

    For example Lampang (84), Thoen (83)

  10. 10

    🇧🇷Ceará, Brazil

    3,900 sq mi10,000 km² matching 80% or better

    For example Santana do Cariri (84), Nova Olinda (84)

  11. 11

    🇹🇭Chiang Mai, Thailand

    2,300 sq mi5,900 km² matching 80% or better

    For example San Pa Tong (84), Hang Dong (83)

  12. 12

    🇹🇿Lindi, Tanzania

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

    For example Nachingwea (87), Nyangao (84)

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

    🇮🇳SidlaghattaKarnataka, India

    Zone 11b · No frost · 0 chill hours · 30 in rainZone 11b · No frost · 0 chill hours · 762 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: avocado

    97%match
  2. 2

    🇮🇳ClosepetKarnataka, India

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

    Shares 18 of your 19 great-fit crops · Also great there: avocado

    96%match
  3. 3

    🇮🇳BengaluruKarnataka, India

    Zone 12a · No frost · 0 chill hours · 36 in rainZone 12a · No frost · 0 chill hours · 914 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: avocado

    96%match
  4. 4

    🇮🇳Chik BallāpurKarnataka, India

    Zone 11b · No frost · 0 chill hours · 31 in rainZone 11b · No frost · 0 chill hours · 784 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: avocado

    96%match
  5. 5

    🇮🇳KrishnagiriTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 35 in rainZone 12b · No frost · 0 chill hours · 883 mm rain

    Shares 15 of your 19 great-fit crops

    95%match
  6. 6

    🇮🇳KunigalKarnataka, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 770 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: avocado

    93%match
  7. 7

    🇮🇳TirumalaAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 42 in rainZone 12a · No frost · 0 chill hours · 1,074 mm rain

    Shares 18 of your 19 great-fit crops · Also great there: avocado, macadamia, potato

    93%match
  8. 8

    🇮🇳ChamrajnagarKarnataka, India

    Zone 12a · No frost · 0 chill hours · 28 in rainZone 12a · No frost · 0 chill hours · 717 mm rain

    Shares 15 of your 19 great-fit crops · Also great there: avocado

    93%match
  9. 9

    🇮🇳HindupurAndhra Pradesh, India

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

    Shares 15 of your 19 great-fit crops

    93%match
  10. 10

    🇮🇳VaniyambadiTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 36 in rainZone 12b · No frost · 0 chill hours · 913 mm rain

    Shares 15 of your 19 great-fit crops

    92%match
  11. 11

    🇮🇳TumkūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 786 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: avocado

    92%match
  12. 12

    🇮🇳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 19 great-fit crops

    92%match
  13. 13

    🇮🇳MysuruKarnataka, India

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

    Shares 16 of your 19 great-fit crops · Also great there: avocado

    91%match
  14. 14

    🇮🇳DharmapuriTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 39 in rainZone 12b · No frost · 0 chill hours · 982 mm rain

    Shares 15 of your 19 great-fit crops

    90%match
  15. 15

    🇮🇳TiptūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 615 mm rain

    Shares 16 of your 19 great-fit crops · Also great there: avocado

    89%match
  16. 16

    🇲🇲KyaukpadaungMandalay Region, Myanmar

    Zone 11b · No frost · 0 chill hours · 30 in rainZone 11b · No frost · 0 chill hours · 768 mm rain

    Shares 16 of your 19 great-fit crops

    87%match
  17. 17

    🇮🇳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 19 great-fit crops

    87%match
  18. 18

    🇧🇷Valença do Piauí↻Seasons flipped. Piauí, Brazil

    Zone 12b · No frost · 0 chill hours · 35 in rainZone 12b · No frost · 0 chill hours · 878 mm rain

    Shares 16 of your 19 great-fit crops · Also great there: avocado

    87%match
  19. 19

    🇮🇳ChannarāyapatnaKarnataka, India

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 658 mm rain

    Shares 16 of your 19 great-fit crops · Also great there: avocado

    86%match
  20. 20

    🇲🇲MeiktilaMandalay Region, Myanmar

    Zone 11b · No frost · 0 chill hours · 33 in rainZone 11b · No frost · 0 chill hours · 834 mm rain

    Shares 15 of your 19 great-fit crops

    86%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 Punganūru: 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.