Climatch

Land with a climate like Gangārāmpur

🇮🇳Gangārāmpur, West Bengal, India

The towns with the closest growing climate to Gangārāmpur are Kishanganj, India (99% match), Pār Naogaon and Arāria. About 168,000 sq mi of land in 6 countries matches 80% or better, most of it in West Bengal, India, Bihar, India and Sagaing Region, Myanmar.The towns with the closest growing climate to Gangārāmpur are Kishanganj, India (99% match), Pār Naogaon and Arāria. About 435,000 km² of land in 6 countries matches 80% or better, most of it in West Bengal, India, Bihar, India and Sagaing Region, Myanmar.

Your growing climate

Zone 10b · No frost · 6 chill hours · 67 in rainZone 10b · No frost · 6 chill hours · 1,707 mm rain

What grows in Gangārāmpur →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    31k sq mi80k km² matching 80% or better

    For example Dalkola (99), Islāmpur (99)

  2. 2

    🇮🇳Bihar, India

    23k sq mi59k km² matching 80% or better

    For example Kishanganj (99), Kasba (99)

  3. 3

    🇲🇲Sagaing Region, Myanmar

    17k sq mi45k km² matching 80% or better

    For example Mawlaik (91), Tatkon (90)

  4. 4

    🇮🇳Assam, India

    12k sq mi31k km² matching 80% or better

    For example Morigaon (91), Nagaon (91)

  5. 5

    🇲🇲Kachin State, Myanmar

    11k sq mi27k km² matching 80% or better

    For example Mogaung (93), Hopin (90)

  6. 6

    🇧🇩Chittagong, Bangladesh

    7,700 sq mi20k km² matching 80% or better

    For example Khagrachhari (91), Manikchari (90)

  7. 7

    🇧🇩Rajshahi Division, Bangladesh

    7,300 sq mi19k km² matching 80% or better

    For example Pār Naogaon (99), Puthia (99)

  8. 8

    🇧🇩Dhaka Division, Bangladesh

    6,600 sq mi17k km² matching 80% or better

    For example Tangail (95), Sakhipur (93)

  9. 9

    🇳🇵Madhesh, Nepal

    3,700 sq mi9,700 km² matching 80% or better

    For example Rājbirāj (98), Lahān (96)

  10. 10

    🇹🇭Nong Khai, Thailand

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

    For example Phon Charoen (86), Nong Khai (81)

  11. 11

    🇹🇭Bueng Kan, Thailand

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

    For example Seka (84)

  12. 12

    🇳🇵Koshi, Nepal

    1,900 sq mi4,800 km² matching 80% or better

    For example Biratnagar (99), Inaruwa (99)

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

    🇮🇳KishanganjBihar, India

    Zone 10b · No frost · 10 chill hours · 83 in rainZone 10b · No frost · 10 chill hours · 2,103 mm rain

    Shares 16 of your 18 great-fit crops

    99%match
  2. 2

    🇧🇩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 18 of your 18 great-fit crops · Also great there: canola (rapeseed)

    99%match
  3. 3

    🇮🇳ArāriaBihar, India

    Zone 10b · No frost · 11 chill hours · 77 in rainZone 10b · No frost · 11 chill hours · 1,954 mm rain

    Shares 15 of your 18 great-fit crops

    99%match
  4. 4

    🇮🇳PurniaBihar, India

    Zone 10b · No frost · 15 chill hours · 61 in rainZone 10b · No frost · 15 chill hours · 1,539 mm rain

    Shares 15 of your 18 great-fit crops

    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 18 great-fit crops · Also great there: fig

    99%match
  6. 6

    🇧🇩RajshahiRajshahi Division, Bangladesh

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

    Shares 17 of your 18 great-fit crops

    99%match
  7. 7

    🇳🇵BiratnagarKoshi, Nepal

    Zone 10b · No frost · 11 chill hours · 79 in rainZone 10b · No frost · 11 chill hours · 1,998 mm rain

    Shares 15 of your 18 great-fit crops

    99%match
  8. 8

    🇧🇩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 18 great-fit crops · Also great there: canola (rapeseed)

    98%match
  9. 9

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

    98%match
  10. 10

    🇮🇳SāhibganjJharkhand, India

    Zone 10b · No frost · 13 chill hours · 54 in rainZone 10b · No frost · 13 chill hours · 1,375 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: fig

    98%match
  11. 11

    🇳🇵BhadrapurKoshi, Nepal

    Zone 10b · No frost · 5 chill hours · 103 in rainZone 10b · No frost · 5 chill hours · 2,617 mm rain

    Shares 15 of your 18 great-fit crops

    97%match
  12. 12

    🇮🇳SupaulBihar, India

    Zone 10b · Frost 1 years in 10 · 26 chill hours · 51 in rainZone 10b · Frost 1 years in 10 · 26 chill hours · 1,304 mm rain

    Shares 14 of your 18 great-fit crops · Also great there: fig

    97%match
  13. 13

    🇮🇳PakurJharkhand, India

    Zone 10b · No frost · 7 chill hours · 56 in rainZone 10b · No frost · 7 chill hours · 1,434 mm rain

    Shares 16 of your 18 great-fit crops · Also great there: fig

    97%match
  14. 14

    🇧🇩PābnaRajshahi Division, Bangladesh

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

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    97%match
  15. 15

    🇧🇩PanchagarhRangpur Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 115 in rainZone 11a · No frost · 0 chill hours · 2,930 mm rain

    Shares 15 of your 18 great-fit crops

    97%match
  16. 16

    🇧🇩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 18 great-fit crops · Also great there: canola (rapeseed)

    97%match
  17. 17

    🇧🇩RangpurRangpur Division, Bangladesh

    Zone 11a · No frost · 1 chill hours · 97 in rainZone 11a · No frost · 1 chill hours · 2,452 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed), macadamia

    97%match
  18. 18

    🇳🇵LahānMadhesh, Nepal

    Zone 10b · Frost 1 years in 10 · 29 chill hours · 55 in rainZone 10b · Frost 1 years in 10 · 29 chill hours · 1,406 mm rain

    Shares 14 of your 18 great-fit crops · Also great there: fig, canola (rapeseed)

    96%match
  19. 19

    🇮🇳SaharsaBihar, India

    Zone 10b · Frost 1 years in 10 · 23 chill hours · 48 in rainZone 10b · Frost 1 years in 10 · 23 chill hours · 1,218 mm rain

    Shares 14 of your 18 great-fit crops · Also great there: fig

    96%match
  20. 20

    🇧🇩BeraRajshahi Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 68 in rainZone 11a · No frost · 0 chill hours · 1,732 mm rain

    Shares 17 of your 18 great-fit crops · Also great there: canola (rapeseed)

    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 Gangārāmpur: 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.