Climatch

Land with a climate like Nanjangūd

🇮🇳Nanjangūd, Karnataka, India

The towns with the closest growing climate to Nanjangūd are Nāgamangala, India (99% match), Closepet and Bengaluru. About 118,000 sq mi of land in 14 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 Nanjangūd are Nāgamangala, India (99% match), Closepet and Bengaluru. About 306,000 km² of land in 14 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 · 794 mm rain

What grows in Nanjangūd →

Regions with the most land like yours

  1. 1

    🇮🇳Karnataka, India

    37k sq mi95k km² matching 80% or better

    For example Kanakapura (99), Nāgamangala (99)

  2. 2

    🇧🇷Maranhão, Brazil

    19k sq mi49k km² matching 80% or better

    For example São João dos Patos (85), Paraibano (84)

  3. 3

    🇮🇳Tamil Nadu, India

    10k sq mi27k km² matching 80% or better

    For example Mūkondapalli (99), Jūjūvādi (99)

  4. 4

    🇮🇳Andhra Pradesh, India

    4,900 sq mi13k km² matching 80% or better

    For example Kuppam (96), Punganūru (92)

  5. 5

    🇹🇭Lampang, Thailand

    4,600 sq mi12k km² matching 80% or better

    For example Thoen (83), Lampang (80)

  6. 6

    🇧🇷Piauí, Brazil

    4,500 sq mi12k km² matching 80% or better

    For example Água Branca (80), Valença do Piauí (80)

  7. 7

    🇨🇫Kémo, Central African Republic

    3,900 sq mi10k km² matching 80% or better

    For example Sibut (81), Dekoa (74)

  8. 8

    🇹🇿Mwanza, Tanzania

    2,700 sq mi7,000 km² matching 80% or better

    For example Magu (83), Kihangara (82)

  9. 9

    🇨🇫Ombella-M'Poko, Central African Republic

    2,700 sq mi6,900 km² matching 80% or better

    For example Bégoua (80), Boali (80)

  10. 10

    🇹🇿Kigoma, Tanzania

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

    For example Kigoma (83), Mwandiga (81)

  11. 11

    🇨🇫Mbomou, Central African Republic

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

    For example Bangassou (80)

  12. 12

    🇹🇭Chiang Mai, Thailand

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

    For example San Pa Tong (81), Hang Dong (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

    🇮🇳NāgamangalaKarnataka, India

    Zone 12a · No frost · 0 chill hours · 26 in rainZone 12a · No frost · 0 chill hours · 670 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: canola (rapeseed)

    99%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 17 of your 17 great-fit crops · Also great there: rice, canola (rapeseed)

    98%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 17 of your 17 great-fit crops · Also great there: rice, canola (rapeseed), barley

    97%match
  4. 4

    🇮🇳RobertsonpetKarnataka, India

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

    Shares 17 of your 17 great-fit crops · Also great there: canola (rapeseed), barley, rice

    97%match
  5. 5

    🇮🇳ChannarāyapatnaKarnataka, India

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

    Shares 15 of your 17 great-fit crops · Also great there: canola (rapeseed), barley

    97%match
  6. 6

    🇮🇳TiptūrKarnataka, India

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

    Shares 15 of your 17 great-fit crops · Also great there: canola (rapeseed), barley

    96%match
  7. 7

    🇮🇳SidlaghattaKarnataka, India

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

    Shares 17 of your 17 great-fit crops · Also great there: canola (rapeseed), rice, barley

    95%match
  8. 8

    🇮🇳ChintamaniKarnataka, India

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

    Shares 16 of your 17 great-fit crops · Also great there: canola (rapeseed), barley, 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 17 of your 17 great-fit crops · Also great there: rice, canola (rapeseed), barley

    94%match
  10. 10

    🇮🇳HindupurAndhra Pradesh, India

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

    Shares 14 of your 17 great-fit crops · Also great there: rice

    92%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 17 great-fit crops

    92%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 17 great-fit crops · Also great there: canola (rapeseed), rice

    92%match
  13. 13

    🇮🇳BargūrTamil Nadu, India

    Zone 12a · No frost · 0 chill hours · 35 in rainZone 12a · No frost · 0 chill hours · 889 mm rain

    Shares 15 of your 17 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 17 great-fit crops

    90%match
  15. 15

    🇮🇳KrishnagiriTamil Nadu, India

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

    Shares 14 of your 17 great-fit crops · Also great there: rice

    90%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 17 great-fit crops

    90%match
  17. 17

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

    90%match
  18. 18

    🇮🇳CoimbatoreTamil Nadu, India

    Zone 12b · No frost · 0 chill hours · 39 in rainZone 12b · No frost · 0 chill hours · 995 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: rice

    89%match
  19. 19

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

    89%match
  20. 20

    🇮🇳ShivamoggaKarnataka, India

    Zone 12a · No frost · 0 chill hours · 41 in rainZone 12a · No frost · 0 chill hours · 1,050 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: rice

    88%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 Nanjangūd: 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.