Climatch

Land with a climate like Kampli

🇮🇳Kampli, Karnataka, India

The towns with the closest growing climate to Kampli are Lingsugūr, India (99% match), Bagalkot and Kalyandurg. About 191,000 sq mi of land in 5 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 Kampli are Lingsugūr, India (99% match), Bagalkot and Kalyandurg. About 495,000 km² of land in 5 countries matches 80% or better, most of it in Karnataka, India, Piauí, Brazil and Andhra Pradesh, India.

Your growing climate

Zone 12b · No frost · 0 chill hours · 27 in rainZone 12b · No frost · 0 chill hours · 686 mm rain

What grows in Kampli →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    46k sq mi119k km² matching 80% or better

    For example Lingsugūr (99), Kottūru (99)

  2. 2

    🇧🇷Piauí, Brazil

    36k sq mi93k km² matching 80% or better

    For example Oeiras (90), Inhuma (90)

  3. 3

    🇮🇳Andhra Pradesh, India

    29k sq mi74k km² matching 80% or better

    For example Penukonda (99), Somandepalle (98)

  4. 4

    🇮🇳Telangana, India

    21k sq mi54k km² matching 80% or better

    For example Mahbūbnagar (89), Achampet (89)

  5. 5

    🇲🇲Magway, Myanmar

    9,500 sq mi25k km² matching 80% or better

    For example Taungdwingyi (86), Magway (85)

  6. 6

    🇲🇲Mandalay Region, Myanmar

    8,600 sq mi22k km² matching 80% or better

    For example Meiktila (87), Wundwin (85)

  7. 7

    🇹🇿Mtwara, Tanzania

    4,700 sq mi12k km² matching 80% or better

    For example Nangomba (84), Lukuledi (82)

  8. 8

    🇧🇷Maranhão, Brazil

    4,200 sq mi11k km² matching 80% or better

    For example Barão de Grajaú (83), Passagem Franca (78)

  9. 9

    🇲🇲Sagaing Region, Myanmar

    2,200 sq mi5,700 km² matching 80% or better

    For example Sagaing (82), Monywa (81)

  10. 10

    🇧🇷Ceará, Brazil

    600 sq mi1,500 km² matching 80% or better

    For example Campos Sales (81), Farias Brito (80)

  11. 11

    🇹🇿Ruvuma, Tanzania

    600 sq mi1,500 km² matching 80% or better

    For example Tunduru (50)

  12. 12

    🇬🇳Boké Region, Guinea

    300 sq mi800 km² matching 80% or better

    For example Wendou Borou (64), Sangarédi (62)

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

    🇮🇳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

    99%match
  2. 2

    🇮🇳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

    98%match
  3. 3

    🇮🇳KalyandurgAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 20 in rainZone 12a · No frost · 0 chill hours · 496 mm rain

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

    98%match
  4. 4

    🇮🇳DhoneAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 27 in rainZone 12b · No frost · 0 chill hours · 698 mm rain

    Shares 14 of your 15 great-fit crops

    97%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 15 great-fit crops · Also great there: sugarcane

    97%match
  6. 6

    🇮🇳GuntakalAndhra Pradesh, India

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

    Shares 14 of your 15 great-fit crops

    97%match
  7. 7

    🇮🇳RāyadrugAndhra Pradesh, India

    Zone 12a · No frost · 0 chill hours · 19 in rainZone 12a · No frost · 0 chill hours · 485 mm rain

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

    97%match
  8. 8

    🇮🇳MuddebihālKarnataka, India

    Zone 12a · No frost · 0 chill hours · 33 in rainZone 12a · No frost · 0 chill hours · 839 mm rain

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

    96%match
  9. 9

    🇮🇳MānviKarnataka, India

    Zone 12b · No frost · 0 chill hours · 30 in rainZone 12b · No frost · 0 chill hours · 754 mm rain

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

    96%match
  10. 10

    🇮🇳AdoniAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 31 in rainZone 12b · No frost · 0 chill hours · 790 mm rain

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

    96%match
  11. 11

    🇮🇳HariharKarnataka, India

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

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

    96%match
  12. 12

    🇮🇳GorantlaAndhra Pradesh, India

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

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

    96%match
  13. 13

    🇮🇳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 15 great-fit crops

    96%match
  14. 14

    🇮🇳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

    96%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 13 of your 15 great-fit crops · Also great there: wheat

    96%match
  16. 16

    🇮🇳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

    96%match
  17. 17

    🇮🇳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

    96%match
  18. 18

    🇮🇳AnantapurAndhra Pradesh, India

    Zone 12b · No frost · 0 chill hours · 23 in rainZone 12b · No frost · 0 chill hours · 596 mm rain

    Shares 12 of your 15 great-fit crops

    95%match
  19. 19

    🇮🇳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

    95%match
  20. 20

    🇮🇳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

    95%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 Kampli: 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.