Climatch

Land with a climate like Sonāmukhi

🇮🇳Sonāmukhi, West Bengal, India

The towns with the closest growing climate to Sonāmukhi are Dumka, India (99% match), Kātoya and Kharagpur. About 196,000 sq mi of land in 6 countries matches 80% or better, most of it in Odisha, India, West Bengal, India and Jharkhand, India.The towns with the closest growing climate to Sonāmukhi are Dumka, India (99% match), Kātoya and Kharagpur. About 509,000 km² of land in 6 countries matches 80% or better, most of it in Odisha, India, West Bengal, India and Jharkhand, India.

Your growing climate

Zone 11a · No frost · 2 chill hours · 52 in rainZone 11a · No frost · 2 chill hours · 1,328 mm rain

What grows in Sonāmukhi →

Regions with the most land like yours

  1. 1

    🇮🇳Odisha, India

    53k sq mi137k km² matching 80% or better

    For example Baripāda (99), Rairangpur (99)

  2. 2

    🇮🇳West Bengal, India

    29k sq mi76k km² matching 80% or better

    For example Jhārgrām (99), Sainthia (99)

  3. 3

    🇮🇳Jharkhand, India

    23k sq mi59k km² matching 80% or better

    For example Dumka (99), Chākuliā (99)

  4. 4

    🇧🇩Rajshahi Division, Bangladesh

    6,800 sq mi18k km² matching 80% or better

    For example Nawābganj (94), Shibganj (94)

  5. 5

    🇲🇲Sagaing Region, Myanmar

    5,500 sq mi14k km² matching 80% or better

    For example Kalemyo (84), Kanbalu (83)

  6. 6

    🇹🇭Kalasin, Thailand

    4,900 sq mi13k km² matching 80% or better

    For example Khao Wong (84), Kuchinarai (83)

  7. 7

    🇹🇭Udon Thani, Thailand

    4,800 sq mi13k km² matching 80% or better

    For example Nam Som (85), Ban Nong Wua So (85)

  8. 8

    🇧🇩Khulna Division, Bangladesh

    3,600 sq mi9,200 km² matching 80% or better

    For example Kushtia (90), Bherāmāra (90)

  9. 9

    🇹🇭Sakon Nakhon, Thailand

    2,900 sq mi7,400 km² matching 80% or better

    For example Warichaphum (84), Sawang Daen Din (84)

  10. 10

    🇱🇦Savannakhet Province, Laos

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

    For example Savannakhet (84), Ban Xénô (84)

  11. 11

    🇳🇵Koshi, Nepal

    1,300 sq mi3,500 km² matching 80% or better

    For example Inaruwa (88), Īṭahari̇̄ (87)

  12. 12

    🇲🇲Kachin State, Myanmar

    1,100 sq mi2,800 km² matching 80% or better

    For example Bhamo (84), Shwegu (83)

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

    🇮🇳DumkaJharkhand, India

    Zone 10b · No frost · 8 chill hours · 55 in rainZone 10b · No frost · 8 chill hours · 1,387 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  2. 2

    🇮🇳KātoyaWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 58 in rainZone 11a · No frost · 0 chill hours · 1,462 mm rain

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

    99%match
  3. 3

    🇮🇳KharagpurWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,495 mm rain

    Shares 16 of your 16 great-fit crops

    99%match
  4. 4

    🇮🇳BaripādaOdisha, India

    Zone 11a · No frost · 0 chill hours · 65 in rainZone 11a · No frost · 0 chill hours · 1,662 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: wheat

    99%match
  5. 5

    🇮🇳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 16 great-fit crops · Also great there: wheat

    99%match
  6. 6

    🇮🇳ChirkundaJharkhand, India

    Zone 11a · No frost · 2 chill hours · 48 in rainZone 11a · No frost · 2 chill hours · 1,211 mm rain

    Shares 16 of your 16 great-fit crops

    98%match
  7. 7

    🇮🇳JamshedpurJharkhand, India

    Zone 11a · No frost · 0 chill hours · 54 in rainZone 11a · No frost · 0 chill hours · 1,363 mm rain

    Shares 16 of your 16 great-fit crops

    98%match
  8. 8

    🇮🇳BaharampurWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,486 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: wheat, barley

    97%match
  9. 9

    🇮🇳DeogharJharkhand, India

    Zone 10b · Frost 1 years in 10 · 14 chill hours · 50 in rainZone 10b · Frost 1 years in 10 · 14 chill hours · 1,272 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: wheat

    97%match
  10. 10

    🇮🇳KaranjiāOdisha, India

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

    Shares 15 of your 16 great-fit crops · Also great there: wheat, barley, canola (rapeseed)

    97%match
  11. 11

    🇮🇳GhātālWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 53 in rainZone 11a · No frost · 0 chill hours · 1,354 mm rain

    Shares 16 of your 16 great-fit crops

    97%match
  12. 12

    🇮🇳PuruliyaWest Bengal, India

    Zone 10b · No frost · 3 chill hours · 53 in rainZone 10b · No frost · 3 chill hours · 1,345 mm rain

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

    96%match
  13. 13

    🇮🇳AngulOdisha, India

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

    Shares 15 of your 16 great-fit crops · Also great there: wheat

    96%match
  14. 14

    🇮🇳GoddaJharkhand, India

    Zone 10b · Frost 1 years in 10 · 16 chill hours · 51 in rainZone 10b · Frost 1 years in 10 · 16 chill hours · 1,297 mm rain

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

    96%match
  15. 15

    🇮🇳ChāībāsaJharkhand, India

    Zone 11a · No frost · 1 chill hours · 55 in rainZone 11a · No frost · 1 chill hours · 1,395 mm rain

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

    95%match
  16. 16

    🇮🇳ShyamnagarWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 65 in rainZone 11a · No frost · 0 chill hours · 1,647 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: wheat, barley

    95%match
  17. 17

    🇧🇩NawābganjRajshahi Division, Bangladesh

    Zone 10b · No frost · 3 chill hours · 58 in rainZone 10b · No frost · 3 chill hours · 1,461 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: wheat, barley

    94%match
  18. 18

    🇮🇳KeonjhargarhOdisha, India

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

    Shares 15 of your 16 great-fit crops · Also great there: wheat, canola (rapeseed)

    94%match
  19. 19

    🇮🇳DhenkānālOdisha, India

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

    Shares 15 of your 16 great-fit crops · Also great there: wheat, canola (rapeseed)

    94%match
  20. 20

    🇮🇳PānchlaWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 64 in rainZone 11a · No frost · 0 chill hours · 1,636 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: wheat, barley

    94%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 Sonāmukhi: 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.