Climatch

Land with a climate like Krishnarājāsāgara

🇮🇳Krishnarājāsāgara, Karnataka, India

The towns with the closest growing climate to Krishnarājāsāgara are Kollegāl, India (99% match), Chamrajnagar and Tiptūr. About 63,000 sq mi of land in 8 countries matches 80% or better, most of it in Karnataka, India, Tamil Nadu, India and Kigoma, Tanzania.The towns with the closest growing climate to Krishnarājāsāgara are Kollegāl, India (99% match), Chamrajnagar and Tiptūr. About 164,000 km² of land in 8 countries matches 80% or better, most of it in Karnataka, India, Tamil Nadu, India and Kigoma, Tanzania.

Your growing climate

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

What grows in Krishnarājāsāgara →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    34k sq mi89k km² matching 80% or better

    For example Gundlupēt (99), Kollegāl (99)

  2. 2

    🇮🇳Tamil Nadu, India

    4,700 sq mi12k km² matching 80% or better

    For example Mūkondapalli (97), Jūjūvādi (97)

  3. 3

    🇹🇿Kigoma, Tanzania

    3,300 sq mi8,500 km² matching 80% or better

    For example Kigoma (84), Mwandiga (84)

  4. 4

    🇧🇷Maranhão, Brazil

    3,000 sq mi7,700 km² matching 80% or better

    For example São João dos Patos (80), Paraibano (79)

  5. 5

    🇹🇭Lampang, Thailand

    2,800 sq mi7,400 km² matching 80% or better

    For example Thoen (73), Lampang (71)

  6. 6

    🇮🇳Andhra Pradesh, India

    2,300 sq mi6,000 km² matching 80% or better

    For example Kuppam (91), Punganūru (87)

  7. 7

    🇹🇿Mwanza, Tanzania

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

    For example Magu (81), Kihangara (80)

  8. 8

    🇨🇩Tanganyika, Democratic Republic of the Congo

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

    For example Kalemie (82), Kalima (67)

  9. 9

    🇹🇭Lamphun, Thailand

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

    For example Pa Sang (76), Lamphun (73)

  10. 10

    🇧🇷Piauí, Brazil

    900 sq mi2,300 km² matching 80% or better

    For example Inhuma (74), Valença do Piauí (72)

  11. 11

    🇹🇭Tak, Thailand

    900 sq mi2,200 km² matching 80% or better

    For example Ban Tak (64), Tak (57)

  12. 12

    🇧🇮Bururi, Burundi

    600 sq mi1,500 km² matching 80% or better

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

    🇮🇳KollegālKarnataka, India

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

    Shares 17 of your 19 great-fit crops · Also great there: rice

    99%match
  2. 2

    🇮🇳ChamrajnagarKarnataka, India

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

    Shares 16 of your 19 great-fit crops

    99%match
  3. 3

    🇮🇳TiptūrKarnataka, India

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

    Shares 17 of your 19 great-fit crops

    98%match
  4. 4

    🇮🇳KadūrKarnataka, India

    Zone 12a · No frost · 0 chill hours · 25 in rainZone 12a · No frost · 0 chill hours · 647 mm rain

    Shares 15 of your 19 great-fit crops

    98%match
  5. 5

    🇮🇳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: rice

    96%match
  6. 6

    🇮🇳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: rice

    96%match
  7. 7

    🇮🇳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: rice, potato

    96%match
  8. 8

    🇮🇳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: rice

    94%match
  9. 9

    🇮🇳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: rice

    94%match
  10. 10

    🇮🇳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: rice

    93%match
  11. 11

    🇮🇳BhadrāvatiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 38 in rainZone 12a · No frost · 0 chill hours · 969 mm rain

    Shares 17 of your 19 great-fit crops · Also great there: rice

    92%match
  12. 12

    🇮🇳GauribidanurKarnataka, India

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

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

    91%match
  13. 13

    🇮🇳HubballiKarnataka, India

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

    Shares 17 of your 19 great-fit crops · Also great there: rice

    90%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 19 great-fit crops

    90%match
  15. 15

    🇮🇳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

    89%match
  16. 16

    🇮🇳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

    88%match
  17. 17

    🇮🇳RanebennurKarnataka, India

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

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

    86%match
  18. 18

    🇮🇳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 19 great-fit crops · Also great there: rice

    86%match
  19. 19

    🇮🇳SaundattiKarnataka, India

    Zone 12a · No frost · 0 chill hours · 41 in rainZone 12a · No frost · 0 chill hours · 1,039 mm rain

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

    85%match
  20. 20

    🇮🇳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 19 great-fit crops · Also great there: rice

    85%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 Krishnarājāsāgara: 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.