Climatch

Land with a climate like Mandya

🇮🇳Mandya, Karnataka, India

The towns with the closest growing climate to Mandya are Bengaluru, India (99% match), Robertsonpet and Gundlupēt. About 105,000 sq mi of land in 13 countries matches 80% or better, most of it in Karnataka, India, Maranhão, Brazil and Tamil Nadu, India.The towns with the closest growing climate to Mandya are Bengaluru, India (99% match), Robertsonpet and Gundlupēt. About 271,000 km² of land in 13 countries matches 80% or better, most of it in Karnataka, India, Maranhão, Brazil and Tamil Nadu, India.

Your growing climate

Zone 12a · No frost · 0 chill hours · 31 in rainZone 12a · No frost · 0 chill hours · 776 mm rain

What grows in Mandya →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    36k sq mi94k km² matching 80% or better

    For example Attibele (99), Bengaluru (99)

  2. 2

    🇧🇷Maranhão, Brazil

    11k sq mi29k km² matching 80% or better

    For example São João dos Patos (82), Paraibano (82)

  3. 3

    🇮🇳Tamil Nadu, India

    8,500 sq mi22k km² matching 80% or better

    For example Mūkondapalli (99), Jūjūvādi (99)

  4. 4

    🇮🇳Andhra Pradesh, India

    5,200 sq mi14k km² matching 80% or better

    For example Kuppam (96), Punganūru (94)

  5. 5

    🇹🇭Lampang, Thailand

    4,800 sq mi13k km² matching 80% or better

    For example Thoen (83), Lampang (80)

  6. 6

    🇲🇲Mandalay Region, Myanmar

    3,900 sq mi10k km² matching 80% or better

    For example Yamethin (81), Pyawbwe (79)

  7. 7

    🇲🇲Magway, Myanmar

    2,800 sq mi7,300 km² matching 80% or better

    For example Taungdwingyi (78), Magway (71)

  8. 8

    🇹🇿Kigoma, Tanzania

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

    For example Kigoma (82), Mwandiga (80)

  9. 9

    🇹🇿Lindi, Tanzania

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

    For example Ruangwa (82), Nyangao (81)

  10. 10

    🇹🇭Chiang Mai, Thailand

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

    For example San Pa Tong (83), Hang Dong (82)

  11. 11

    🇹🇭Tak, Thailand

    2,000 sq mi5,200 km² matching 80% or better

    For example Ban Tak (76), Tak (69)

  12. 12

    🇧🇷Piauí, Brazil

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

    For example Inhuma (79), Valença do Piauí (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

    🇮🇳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: barley

    99%match
  2. 2

    🇮🇳RobertsonpetKarnataka, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 750 mm rain

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

    99%match
  3. 3

    🇮🇳GundlupētKarnataka, India

    Zone 12a · No frost · 0 chill hours · 36 in rainZone 12a · No frost · 0 chill hours · 904 mm rain

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

    98%match
  4. 4

    🇮🇳ChiknāyakanhalliKarnataka, India

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

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

    98%match
  5. 5

    🇮🇳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: barley

    98%match
  6. 6

    🇮🇳DenkanikotaTamil Nadu, India

    Zone 12a · No frost · 0 chill hours · 34 in rainZone 12a · No frost · 0 chill hours · 871 mm rain

    Shares 19 of your 19 great-fit crops · Also great there: barley, potato

    98%match
  7. 7

    🇮🇳ChintamaniKarnataka, India

    Zone 11b · No frost · 0 chill hours · 28 in rainZone 11b · No frost · 0 chill hours · 711 mm rain

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

    98%match
  8. 8

    🇮🇳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: barley

    97%match
  9. 9

    🇮🇳HolenarasipuraKarnataka, India

    Zone 12a · No frost · 0 chill hours · 29 in rainZone 12a · No frost · 0 chill hours · 728 mm rain

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

    97%match
  10. 10

    🇮🇳GauribidanurKarnataka, India

    Zone 12a · No frost · 0 chill hours · 30 in rainZone 12a · No frost · 0 chill hours · 757 mm rain

    Shares 17 of your 19 great-fit crops

    97%match
  11. 11

    🇮🇳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

    93%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 17 of your 19 great-fit crops

    93%match
  13. 13

    🇮🇳PalmanerAndhra Pradesh, India

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

    Shares 18 of your 19 great-fit crops

    93%match
  14. 14

    🇮🇳GorantlaAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 669 mm rain

    Shares 16 of your 19 great-fit crops

    91%match
  15. 15

    🇮🇳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 19 great-fit crops

    91%match
  16. 16

    🇮🇳HolalkereKarnataka, India

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

    Shares 14 of your 19 great-fit crops

    91%match
  17. 17

    🇮🇳PiriyāpatnaKarnataka, India

    Zone 12a · No frost · 0 chill hours · 46 in rainZone 12a · No frost · 0 chill hours · 1,160 mm rain

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

    90%match
  18. 18

    🇮🇳PennāgaramTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 38 in rainZone 12b · No frost · 0 chill hours · 964 mm rain

    Shares 15 of your 19 great-fit crops

    89%match
  19. 19

    🇮🇳HubballiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 895 mm rain

    Shares 18 of your 19 great-fit crops

    89%match
  20. 20

    🇮🇳ChitradurgaKarnataka, India

    Zone 12a · No frost · 0 chill hours · 24 in rainZone 12a · No frost · 0 chill hours · 614 mm rain

    Shares 14 of your 19 great-fit crops

    89%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 Mandya: 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.