Climatch

Land with a climate like Baliguda

🇮🇳Baliguda, Odisha, India

The towns with the closest growing climate to Baliguda are Nowrangapur, India (99% match), Umarkot and Keonjhargarh. About 152,000 sq mi of land in 8 countries matches 80% or better, most of it in Odisha, India, Jharkhand, India and Chhattisgarh, India.The towns with the closest growing climate to Baliguda are Nowrangapur, India (99% match), Umarkot and Keonjhargarh. About 394,000 km² of land in 8 countries matches 80% or better, most of it in Odisha, India, Jharkhand, India and Chhattisgarh, India.

Your growing climate

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

What grows in Baliguda →

Regions with the most land like yours

  1. 1

    🇮🇳Odisha, India

    52k sq mi135k km² matching 80% or better

    For example Nowrangapur (99), Keonjhargarh (98)

  2. 2

    🇮🇳Jharkhand, India

    23k sq mi59k km² matching 80% or better

    For example Noāmundi (95), Khunti (94)

  3. 3

    🇮🇳Chhattisgarh, India

    21k sq mi54k km² matching 80% or better

    For example Umarkot (98), Kotapārh (98)

  4. 4

    🇹🇭Chiang Rai, Thailand

    4,500 sq mi12k km² matching 80% or better

    For example Mae Chan (84), Mae Sai (84)

  5. 5

    🇲🇼Southern Region, Malawi

    4,000 sq mi10k km² matching 80% or better

    For example Mwanza (84), Liwonde (78)

  6. 6

    🇱🇦Bokeo, Laos

    3,900 sq mi10k km² matching 80% or better

    For example Ban Khoan (84), Ban Houakhoua (81)

  7. 7

    🇲🇲Kachin State, Myanmar

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

    For example Bhamo (84), Myitkyina (82)

  8. 8

    🇲🇿Niassa Province, Mozambique

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

    For example Mandimba (79), Cuamba (56)

  9. 9

    🇹🇭Phayao, Thailand

    1,700 sq mi4,400 km² matching 80% or better

    For example Phayao (77), Dok Kham Tai (77)

  10. 10

    🇲🇲Shan State, Myanmar

    1,700 sq mi4,300 km² matching 80% or better

    For example Tachilek (84), Hsipaw (77)

  11. 11

    🇲🇲Kayah State, Myanmar

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

    For example Loikaw (71)

  12. 12

    🇹🇭Chiang Mai, Thailand

    800 sq mi2,200 km² matching 80% or better

    For example Chiang Mai (74), San Kamphaeng (73)

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

    🇮🇳NowrangapurOdisha, India

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,776 mm rain

    Shares 18 of your 19 great-fit crops

    99%match
  2. 2

    🇮🇳UmarkotChhattisgarh, India

    Zone 11a · No frost · 3 chill hours · 62 in rainZone 11a · No frost · 3 chill hours · 1,565 mm rain

    Shares 18 of your 19 great-fit crops

    98%match
  3. 3

    🇮🇳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 19 great-fit crops

    98%match
  4. 4

    🇮🇳JeyporeOdisha, India

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,784 mm rain

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

    98%match
  5. 5

    🇮🇳KaranjiāOdisha, India

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

    Shares 18 of your 19 great-fit crops

    98%match
  6. 6

    🇮🇳KondagaonChhattisgarh, India

    Zone 11a · No frost · 2 chill hours · 61 in rainZone 11a · No frost · 2 chill hours · 1,545 mm rain

    Shares 18 of your 19 great-fit crops

    97%match
  7. 7

    🇮🇳JagdalpurChhattisgarh, India

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

    Shares 17 of your 19 great-fit crops

    96%match
  8. 8

    🇮🇳BarbilOdisha, India

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

    Shares 18 of your 19 great-fit crops

    94%match
  9. 9

    🇮🇳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 19 great-fit crops

    94%match
  10. 10

    🇮🇳RāyagadaOdisha, India

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

    Shares 18 of your 19 great-fit crops

    94%match
  11. 11

    🇮🇳KānkeJharkhand, India

    Zone 10b · Frost 2 years in 10 · 30 chill hours · 57 in rainZone 10b · Frost 2 years in 10 · 30 chill hours · 1,444 mm rain

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

    93%match
  12. 12

    🇮🇳RanchiJharkhand, India

    Zone 10b · Frost 1 years in 10 · 19 chill hours · 58 in rainZone 10b · Frost 1 years in 10 · 19 chill hours · 1,465 mm rain

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

    93%match
  13. 13

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

    93%match
  14. 14

    🇮🇳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 19 great-fit crops

    92%match
  15. 15

    🇮🇳DhenkānālOdisha, India

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,663 mm rain

    Shares 17 of your 19 great-fit crops

    92%match
  16. 16

    🇮🇳GumlāJharkhand, India

    Zone 10b · Frost 1 years in 10 · 27 chill hours · 61 in rainZone 10b · Frost 1 years in 10 · 27 chill hours · 1,539 mm rain

    Shares 18 of your 19 great-fit crops

    92%match
  17. 17

    🇮🇳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 19 great-fit crops

    91%match
  18. 18

    🇮🇳HazāribāghJharkhand, India

    Zone 10a · Frost 3 years in 10 · 39 chill hours · 53 in rainZone 10a · Frost 3 years in 10 · 39 chill hours · 1,343 mm rain

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

    90%match
  19. 19

    🇮🇳BolpurWest Bengal, India

    Zone 11a · No frost · 2 chill hours · 56 in rainZone 11a · No frost · 2 chill hours · 1,425 mm rain

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

    90%match
  20. 20

    🇮🇳DurgapurWest Bengal, India

    Zone 11a · No frost · 1 chill hours · 53 in rainZone 11a · No frost · 1 chill hours · 1,336 mm rain

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

    90%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 Baliguda: 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.