Climatch

Land with a climate like Medinīpur

🇮🇳Medinīpur, West Bengal, India

The towns with the closest growing climate to Medinīpur are Baripāda, India (99% match), Barddhamān and Durgapur. About 197,000 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 Medinīpur are Baripāda, India (99% match), Barddhamān and Durgapur. About 511,000 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 · 0 chill hours · 59 in rainZone 11a · No frost · 0 chill hours · 1,496 mm rain

What grows in Medinīpur →

Regions with the most land like yours

  1. 1

    🇮🇳Odisha, India

    49k sq mi128k km² matching 80% or better

    For example Baripāda (99), Kāmākhyānagar (99)

  2. 2

    🇮🇳West Bengal, India

    30k sq mi77k km² matching 80% or better

    For example Barddhamān (99), Sonāmukhi (99)

  3. 3

    🇮🇳Jharkhand, India

    16k sq mi40k km² matching 80% or better

    For example Mushābani (99), Jadugora (98)

  4. 4

    🇧🇩Rajshahi Division, Bangladesh

    6,500 sq mi17k km² matching 80% or better

    For example Rajshahi (92), Nawābganj (91)

  5. 5

    🇹🇭Nakhon Ratchasima, Thailand

    5,500 sq mi14k km² matching 80% or better

    For example Bua Yai (83), Non Sung (82)

  6. 6

    🇹🇭Udon Thani, Thailand

    5,400 sq mi14k km² matching 80% or better

    For example Udon Thani (90), Nam Som (89)

  7. 7

    🇹🇭Kalasin, Thailand

    4,900 sq mi13k km² matching 80% or better

    For example Khao Wong (87), Kuchinarai (86)

  8. 8

    🇧🇩Khulna Division, Bangladesh

    4,700 sq mi12k km² matching 80% or better

    For example Kālīganj (91), Kushtia (90)

  9. 9

    🇱🇦Savannakhet Province, Laos

    4,300 sq mi11k km² matching 80% or better

    For example Savannakhet (87), Ban Xénô (86)

  10. 10

    🇳🇵Koshi, Nepal

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

    For example Īṭahari̇̄ (83), Inaruwa (82)

  11. 11

    🇧🇩Chittagong, Bangladesh

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

    For example Rangamati (83), Khagrachhari (83)

  12. 12

    🇲🇲Sagaing Region, Myanmar

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

    For example Kalemyo (82), Kanbalu (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

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

    99%match
  2. 2

    🇮🇳BarddhamānWest Bengal, India

    Zone 11a · No frost · 1 chill hours · 57 in rainZone 11a · No frost · 1 chill hours · 1,438 mm rain

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

    99%match
  3. 3

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

    99%match
  4. 4

    🇮🇳BolpurWest Bengal, India

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

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

    99%match
  5. 5

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

    99%match
  6. 6

    🇮🇳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 15 great-fit crops · Also great there: wheat, canola (rapeseed)

    98%match
  7. 7

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

    98%match
  8. 8

    🇮🇳RairangpurOdisha, India

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

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

    98%match
  9. 9

    🇮🇳BālugaonOdisha, India

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,548 mm rain

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

    98%match
  10. 10

    🇮🇳KolkataWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 68 in rainZone 11a · No frost · 0 chill hours · 1,736 mm rain

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

    97%match
  11. 11

    🇮🇳HowrahWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 67 in rainZone 11a · No frost · 0 chill hours · 1,710 mm rain

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

    97%match
  12. 12

    🇮🇳ByasanagarOdisha, India

    Zone 11b · No frost · 0 chill hours · 67 in rainZone 11b · No frost · 0 chill hours · 1,701 mm rain

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

    97%match
  13. 13

    🇮🇳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 15 great-fit crops · Also great there: wheat, barley, canola (rapeseed)

    97%match
  14. 14

    🇮🇳KānchrāpāraWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 64 in rainZone 11a · No frost · 0 chill hours · 1,618 mm rain

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

    96%match
  15. 15

    🇮🇳BhanjanagarOdisha, India

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,543 mm rain

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

    96%match
  16. 16

    🇮🇳JamshedpurJharkhand, India

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

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

    96%match
  17. 17

    🇮🇳DumkaJharkhand, India

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

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

    96%match
  18. 18

    🇮🇳KrishnanagarWest Bengal, India

    Zone 11a · No frost · 2 chill hours · 59 in rainZone 11a · No frost · 2 chill hours · 1,511 mm rain

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

    95%match
  19. 19

    🇮🇳BhadrakOdisha, India

    Zone 11b · No frost · 0 chill hours · 69 in rainZone 11b · No frost · 0 chill hours · 1,756 mm rain

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

    95%match
  20. 20

    🇮🇳BaharampurWest Bengal, India

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

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

    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 Medinīpur: 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.