Climatch

Land with a climate like Bherāmāra

🇧🇩Bherāmāra, Khulna Division, Bangladesh

The towns with the closest growing climate to Bherāmāra are Pār Naogaon, Bangladesh (99% match), Mohammadpur and Bālurghāt. About 235,000 sq mi of land in 6 countries matches 80% or better, most of it in West Bengal, India, Odisha, India and Assam, India.The towns with the closest growing climate to Bherāmāra are Pār Naogaon, Bangladesh (99% match), Mohammadpur and Bālurghāt. About 608,000 km² of land in 6 countries matches 80% or better, most of it in West Bengal, India, Odisha, India and Assam, India.

Your growing climate

Zone 10b · No frost · 4 chill hours · 67 in rainZone 10b · No frost · 4 chill hours · 1,701 mm rain

What grows in Bherāmāra →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    32k sq mi84k km² matching 80% or better

    For example Bagulā (99), Bālurghāt (99)

  2. 2

    🇮🇳Odisha, India

    20k sq mi53k km² matching 80% or better

    For example Jaleshwar (92), Balasore (91)

  3. 3

    🇮🇳Assam, India

    19k sq mi49k km² matching 80% or better

    For example Nagaon (94), Morigaon (94)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    18k sq mi46k km² matching 80% or better

    For example Tamu (94), Tatkon (94)

  5. 5

    🇲🇲Kachin State, Myanmar

    12k sq mi31k km² matching 80% or better

    For example Mogaung (95), Myitkyina (93)

  6. 6

    🇧🇩Chittagong, Bangladesh

    11k sq mi29k km² matching 80% or better

    For example Khagrachhari (98), Manikchari (97)

  7. 7

    🇧🇩Khulna Division, Bangladesh

    8,800 sq mi23k km² matching 80% or better

    For example Jhingergācha (98), Jessore (97)

  8. 8

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Tangail (99), Nāgarpur (99)

  9. 9

    🇹🇭Udon Thani, Thailand

    4,000 sq mi10k km² matching 80% or better

    For example Ban Dung (87), Nam Som (83)

  10. 10

    🇳🇵Madhesh, Nepal

    3,500 sq mi9,000 km² matching 80% or better

    For example Rājbirāj (91), Lahān (90)

  11. 11

    🇹🇭Phrae, Thailand

    3,100 sq mi8,100 km² matching 80% or better

    For example Den Chai (83), Phrae (81)

  12. 12

    🇱🇦Savannakhet Province, Laos

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

    For example Ban Xénô (81), Savannakhet (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

    🇧🇩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 17 of your 17 great-fit crops · Also great there: avocado, date palm

    99%match
  2. 2

    🇧🇩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: date palm, avocado

    99%match
  3. 3

    🇮🇳BālurghātWest Bengal, India

    Zone 10b · No frost · 4 chill hours · 72 in rainZone 10b · No frost · 4 chill hours · 1,829 mm rain

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

    99%match
  4. 4

    🇧🇩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 17 great-fit crops · Also great there: date palm, fig

    99%match
  5. 5

    🇧🇩ShibganjRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 77 in rainZone 11a · No frost · 0 chill hours · 1,966 mm rain

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

    99%match
  6. 6

    🇮🇳ShāntipurWest Bengal, India

    Zone 11a · No frost · 1 chill hours · 60 in rainZone 11a · No frost · 1 chill hours · 1,514 mm rain

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

    99%match
  7. 7

    🇧🇩JamālpurMymensingh Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 84 in rainZone 11a · No frost · 0 chill hours · 2,136 mm rain

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

    99%match
  8. 8

    🇮🇳BhātpāraWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 65 in rainZone 11a · No frost · 0 chill hours · 1,656 mm rain

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

    99%match
  9. 9

    🇧🇩NāgarpurDhaka Division, Bangladesh

    Zone 11a · No frost · 2 chill hours · 73 in rainZone 11a · No frost · 2 chill hours · 1,855 mm rain

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

    99%match
  10. 10

    🇧🇩SakhipurDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 80 in rainZone 11a · No frost · 0 chill hours · 2,034 mm rain

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

    99%match
  11. 11

    🇧🇩MymensinghMymensingh Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,252 mm rain

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

    99%match
  12. 12

    🇧🇩DinajpurRangpur Division, Bangladesh

    Zone 10b · No frost · 8 chill hours · 77 in rainZone 10b · No frost · 8 chill hours · 1,955 mm rain

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

    98%match
  13. 13

    🇮🇳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 17 great-fit crops · Also great there: date palm, fig

    98%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 14 of your 17 great-fit crops · Also great there: fig, date palm

    98%match
  15. 15

    🇧🇩KhagrachhariChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,250 mm rain

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

    98%match
  16. 16

    🇮🇳RāiganjWest Bengal, India

    Zone 10b · No frost · 12 chill hours · 66 in rainZone 10b · No frost · 12 chill hours · 1,680 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: avocado, date palm

    98%match
  17. 17

    🇮🇳SrirāmpurWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 56 in rainZone 11a · No frost · 0 chill hours · 1,434 mm rain

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

    98%match
  18. 18

    🇮🇳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: date palm

    97%match
  19. 19

    🇧🇩JessoreKhulna Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,771 mm rain

    Shares 17 of your 17 great-fit crops

    97%match
  20. 20

    🇮🇳Basirhat CityWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 67 in rainZone 11a · No frost · 0 chill hours · 1,713 mm rain

    Shares 16 of your 17 great-fit crops

    97%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 Bherāmāra: 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.