Climatch

Land with a climate like Jagdalpur

🇮🇳Jagdalpur, Chhattisgarh, India

The towns with the closest growing climate to Jagdalpur are Bacheli, India (99% match), Nārāinpur and Bhawānipatna. About 164,000 sq mi of land in 7 countries matches 80% or better, most of it in Odisha, India, Chhattisgarh, India and Telangana, India.The towns with the closest growing climate to Jagdalpur are Bacheli, India (99% match), Nārāinpur and Bhawānipatna. About 424,000 km² of land in 7 countries matches 80% or better, most of it in Odisha, India, Chhattisgarh, India and Telangana, India.

Your growing climate

Zone 11a · No frost · 0 chill hours · 67 in rainZone 11a · No frost · 0 chill hours · 1,691 mm rain

What grows in Jagdalpur →

Regions with the most land like yours

  1. 1

    🇮🇳Odisha, India

    47k sq mi122k km² matching 80% or better

    For example Bhawānipatna (97), Baliguda (96)

  2. 2

    🇮🇳Chhattisgarh, India

    27k sq mi71k km² matching 80% or better

    For example Kirandul (99), Bacheli (99)

  3. 3

    🇮🇳Telangana, India

    23k sq mi60k km² matching 80% or better

    For example Kāmāreddi (87), Siddipet (86)

  4. 4

    🇹🇭Chiang Rai, Thailand

    2,300 sq mi5,800 km² matching 80% or better

    For example Chiang Rai (82), Mae Chan (81)

  5. 5

    🇹🇭Phayao, Thailand

    2,000 sq mi5,100 km² matching 80% or better

    For example Dok Kham Tai (80), Phayao (80)

  6. 6

    🇹🇭Chiang Mai, Thailand

    1,100 sq mi2,900 km² matching 80% or better

    For example Chiang Mai (78), San Kamphaeng (78)

  7. 7

    🇲🇲Kayah State, Myanmar

    1,100 sq mi2,900 km² matching 80% or better

    For example Loikaw (72)

  8. 8

    🇲🇲Nay Pyi Taw, Myanmar

    1,100 sq mi2,900 km² matching 80% or better

    For example Nay Pyi Taw (78), Pyinmana (78)

  9. 9

    🇲🇼Southern Region, Malawi

    900 sq mi2,200 km² matching 80% or better

    For example Mwanza (77), Mangochi (67)

  10. 10

    🇱🇦Bokeo, Laos

    600 sq mi1,500 km² matching 80% or better

    For example Ban Khoan (80), Ban Houakhoua (78)

  11. 11

    🇬🇳Faranah, Guinea

    300 sq mi800 km² matching 80% or better

    For example Dogomet (80), Dabola (79)

  12. 12

    🇲🇿Tete, Mozambique

    300 sq mi700 km² matching 80% or better

    For example Moatize (63), Songo (60)

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

    🇮🇳BacheliChhattisgarh, India

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,491 mm rain

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

    99%match
  2. 2

    🇮🇳NārāinpurChhattisgarh, India

    Zone 11a · No frost · 2 chill hours · 62 in rainZone 11a · No frost · 2 chill hours · 1,581 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  3. 3

    🇮🇳BhawānipatnaOdisha, India

    Zone 11a · No frost · 0 chill hours · 63 in rainZone 11a · No frost · 0 chill hours · 1,597 mm rain

    Shares 16 of your 17 great-fit crops

    97%match
  4. 4

    🇮🇳BaligudaOdisha, India

    Zone 11a · No frost · 1 chill hours · 64 in rainZone 11a · No frost · 1 chill hours · 1,628 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: barley, potato

    96%match
  5. 5

    🇮🇳PhulbāniOdisha, India

    Zone 11a · No frost · 0 chill hours · 62 in rainZone 11a · No frost · 0 chill hours · 1,583 mm rain

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

    95%match
  6. 6

    🇮🇳BījāpurChhattisgarh, India

    Zone 11a · No frost · 0 chill hours · 66 in rainZone 11a · No frost · 0 chill hours · 1,682 mm rain

    Shares 16 of your 17 great-fit crops

    93%match
  7. 7

    🇮🇳SunabedaOdisha, India

    Zone 11a · No frost · 0 chill hours · 73 in rainZone 11a · No frost · 0 chill hours · 1,848 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: avocado, barley, potato

    93%match
  8. 8

    🇮🇳RāyagadaOdisha, India

    Zone 11b · No frost · 0 chill hours · 62 in rainZone 11b · No frost · 0 chill hours · 1,574 mm rain

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

    93%match
  9. 9

    🇮🇳MalakanagiriOdisha, India

    Zone 11b · No frost · 0 chill hours · 71 in rainZone 11b · No frost · 0 chill hours · 1,813 mm rain

    Shares 15 of your 17 great-fit crops

    92%match
  10. 10

    🇮🇳KānkerChhattisgarh, India

    Zone 11a · No frost · 1 chill hours · 54 in rainZone 11a · No frost · 1 chill hours · 1,377 mm rain

    Shares 16 of your 17 great-fit crops

    92%match
  11. 11

    🇮🇳TitlāgarhOdisha, India

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,501 mm rain

    Shares 15 of your 17 great-fit crops

    92%match
  12. 12

    🇮🇳KharhiālOdisha, India

    Zone 11a · No frost · 0 chill hours · 55 in rainZone 11a · No frost · 0 chill hours · 1,399 mm rain

    Shares 15 of your 17 great-fit crops

    92%match
  13. 13

    🇮🇳KeonjhargarhOdisha, India

    Zone 11a · No frost · 3 chill hours · 64 in rainZone 11a · No frost · 3 chill hours · 1,626 mm rain

    Shares 17 of your 17 great-fit crops

    91%match
  14. 14

    🇮🇳KaranjiāOdisha, India

    Zone 11a · No frost · 2 chill hours · 64 in rainZone 11a · No frost · 2 chill hours · 1,628 mm rain

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

    90%match
  15. 15

    🇮🇳BarbilOdisha, India

    Zone 10b · No frost · 8 chill hours · 60 in rainZone 10b · No frost · 8 chill hours · 1,515 mm rain

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

    90%match
  16. 16

    🇮🇳BalāngīrOdisha, India

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,509 mm rain

    Shares 15 of your 17 great-fit crops

    89%match
  17. 17

    🇮🇳RairangpurOdisha, India

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,482 mm rain

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

    89%match
  18. 18

    🇮🇳AngulOdisha, India

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,480 mm rain

    Shares 16 of your 17 great-fit crops

    87%match
  19. 19

    🇮🇳KhātraWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 53 in rainZone 11a · No frost · 0 chill hours · 1,353 mm rain

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

    87%match
  20. 20

    🇮🇳KāmāreddiTelangana, India

    Zone 11b · No frost · 0 chill hours · 48 in rainZone 11b · No frost · 0 chill hours · 1,210 mm rain

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

    87%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 Jagdalpur: 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.