Climatch

Land with a climate like Memāri

🇮🇳Memāri, West Bengal, India

The towns with the closest growing climate to Memāri are Chandrakona, India (99% match), Baharampur and Siuri. About 244,000 sq mi of land in 6 countries matches 80% or better, most of it in Odisha, India, West Bengal, India and Bihar, India.The towns with the closest growing climate to Memāri are Chandrakona, India (99% match), Baharampur and Siuri. About 633,000 km² of land in 6 countries matches 80% or better, most of it in Odisha, India, West Bengal, India and Bihar, India.

Your growing climate

Zone 11a · No frost · 1 chill hours · 57 in rainZone 11a · No frost · 1 chill hours · 1,446 mm rain

What grows in Memāri →

Regions with the most land like yours

  1. 1

    🇮🇳Odisha, India

    40k sq mi104k km² matching 80% or better

    For example Jaleshwar (98), Baripāda (97)

  2. 2

    🇮🇳West Bengal, India

    33k sq mi86k km² matching 80% or better

    For example Chandrakona (99), Baharampur (99)

  3. 3

    🇮🇳Bihar, India

    15k sq mi39k km² matching 80% or better

    For example Kasba (93), Purnia (93)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    14k sq mi38k km² matching 80% or better

    For example Kalemyo (90), Mawlaik (87)

  5. 5

    🇧🇩Chittagong, Bangladesh

    7,700 sq mi20k km² matching 80% or better

    For example Khagrachhari (90), Manikchari (89)

  6. 6

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Tangail (89), Nāgarpur (88)

  7. 7

    🇧🇩Rajshahi Division, Bangladesh

    7,300 sq mi19k km² matching 80% or better

    For example Rajshahi (99), Nawābganj (99)

  8. 8

    🇹🇭Udon Thani, Thailand

    5,400 sq mi14k km² matching 80% or better

    For example Nam Som (87), Ban Dung (86)

  9. 9

    🇲🇲Kachin State, Myanmar

    5,200 sq mi13k km² matching 80% or better

    For example Shwegu (89), Bhamo (89)

  10. 10

    🇹🇭Kalasin, Thailand

    4,900 sq mi13k km² matching 80% or better

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

  11. 11

    🇹🇭Nakhon Ratchasima, Thailand

    4,600 sq mi12k km² matching 80% or better

    For example Ban Huai Thalaeng (81), Amphoe Sikhiu (80)

  12. 12

    🇱🇦Savannakhet Province, Laos

    4,300 sq mi11k km² matching 80% or better

    For example Savannakhet (86), Ban Xénô (85)

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

    🇮🇳ChandrakonaWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 53 in rainZone 11a · No frost · 0 chill hours · 1,350 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  2. 2

    🇮🇳BaharampurWest Bengal, India

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

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

    99%match
  3. 3

    🇮🇳SiuriWest Bengal, India

    Zone 11a · No frost · 2 chill hours · 56 in rainZone 11a · No frost · 2 chill hours · 1,419 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  4. 4

    🇧🇩RajshahiRajshahi Division, Bangladesh

    Zone 10b · No frost · 3 chill hours · 63 in rainZone 10b · No frost · 3 chill hours · 1,591 mm rain

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

    99%match
  5. 5

    🇧🇩NawābganjRajshahi Division, Bangladesh

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

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

    99%match
  6. 6

    🇮🇳BishnupurWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 53 in rainZone 11a · No frost · 0 chill hours · 1,336 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  7. 7

    🇮🇳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 17 great-fit crops

    99%match
  8. 8

    🇮🇳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 17 great-fit crops

    99%match
  9. 9

    🇮🇳MaheshtalaWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 67 in rainZone 11a · No frost · 0 chill hours · 1,709 mm rain

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

    98%match
  10. 10

    🇮🇳EgraWest Bengal, India

    Zone 11b · No frost · 0 chill hours · 63 in rainZone 11b · No frost · 0 chill hours · 1,592 mm rain

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

    98%match
  11. 11

    🇮🇳DurgapurWest Bengal, India

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

    Shares 16 of your 17 great-fit crops

    98%match
  12. 12

    🇮🇳BangaonWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 67 in rainZone 11a · No frost · 0 chill hours · 1,705 mm rain

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

    98%match
  13. 13

    🇮🇳BaripādaOdisha, India

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

    Shares 16 of your 17 great-fit crops

    97%match
  14. 14

    🇮🇳MaldaWest Bengal, India

    Zone 10b · No frost · 3 chill hours · 56 in rainZone 10b · No frost · 3 chill hours · 1,411 mm rain

    Shares 16 of your 17 great-fit crops

    97%match
  15. 15

    🇧🇩MohammadpurRajshahi Division, Bangladesh

    Zone 10b · No frost · 7 chill hours · 62 in rainZone 10b · No frost · 7 chill hours · 1,566 mm rain

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

    97%match
  16. 16

    🇧🇩KālīganjKhulna Division, Bangladesh

    Zone 11a · No frost · 1 chill hours · 67 in rainZone 11a · No frost · 1 chill hours · 1,702 mm rain

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

    96%match
  17. 17

    🇧🇩PābnaRajshahi Division, Bangladesh

    Zone 10b · No frost · 2 chill hours · 67 in rainZone 10b · No frost · 2 chill hours · 1,700 mm rain

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

    96%match
  18. 18

    🇧🇩Pār NaogaonRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 66 in rainZone 11a · No frost · 0 chill hours · 1,676 mm rain

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

    95%match
  19. 19

    🇮🇳HaldiaWest Bengal, India

    Zone 11b · No frost · 0 chill hours · 68 in rainZone 11b · No frost · 0 chill hours · 1,735 mm rain

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

    95%match
  20. 20

    🇮🇳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 17 of your 17 great-fit crops

    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 Memāri: 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.