Climatch

Land with a climate like Islāmpur, India

🇮🇳Islāmpur, West Bengal, India

The towns with the closest growing climate to Islāmpur, India are Dinajpur, Bangladesh (99% match), Biratnagar and Bālurghāt. About 187,000 sq mi of land in 6 countries matches 80% or better, most of it in West Bengal, India, Assam, India and Bihar, India.The towns with the closest growing climate to Islāmpur, India are Dinajpur, Bangladesh (99% match), Biratnagar and Bālurghāt. About 485,000 km² of land in 6 countries matches 80% or better, most of it in West Bengal, India, Assam, India and Bihar, India.

Your growing climate

Zone 10b · No frost · 5 chill hours · 94 in rainZone 10b · No frost · 5 chill hours · 2,389 mm rain

What grows in Islāmpur, India →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    29k sq mi76k km² matching 80% or better

    For example Bālurghāt (99), Gangārāmpur (99)

  2. 2

    🇮🇳Assam, India

    18k sq mi47k km² matching 80% or better

    For example Gauripur (93), Bilāsipāra (93)

  3. 3

    🇮🇳Bihar, India

    16k sq mi41k km² matching 80% or better

    For example Jogbani (99), Forbesganj (99)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    15k sq mi38k km² matching 80% or better

    For example Tatkon (92), Tamu (92)

  5. 5

    🇲🇲Kachin State, Myanmar

    13k sq mi33k km² matching 80% or better

    For example Mogaung (95), Myitkyina (92)

  6. 6

    🇧🇩Chittagong, Bangladesh

    10k sq mi26k km² matching 80% or better

    For example Khagrachhari (92), Manikchari (92)

  7. 7

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Tangail (95), Sakhipur (95)

  8. 8

    🇧🇩Rajshahi Division, Bangladesh

    7,300 sq mi19k km² matching 80% or better

    For example Joypur Hāt (99), Pār Naogaon (99)

  9. 9

    🇳🇵Madhesh, Nepal

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

    For example Rājbirāj (95), Lahān (94)

  10. 10

    🇹🇭Bueng Kan, Thailand

    2,800 sq mi7,400 km² matching 80% or better

    For example Seka (91)

  11. 11

    🇹🇭Nong Khai, Thailand

    2,600 sq mi6,600 km² matching 80% or better

    For example Phon Charoen (92), Nong Khai (83)

  12. 12

    🇳🇵Koshi, Nepal

    2,400 sq mi6,200 km² matching 80% or better

    For example Biratnagar (99), Īṭahari̇̄ (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

    🇧🇩DinajpurRangpur Division, Bangladesh

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

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

    99%match
  2. 2

    🇳🇵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 16 great-fit crops

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

    99%match
  4. 4

    🇧🇩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 16 great-fit crops · Also great there: wheat, barley, canola (rapeseed)

    99%match
  5. 5

    🇧🇩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 16 great-fit crops · Also great there: wheat, barley

    99%match
  6. 6

    🇧🇩RangpurRangpur Division, Bangladesh

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

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

    98%match
  7. 7

    🇧🇩ShibganjRajshahi Division, Bangladesh

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

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

    98%match
  8. 8

    🇧🇩RajshahiRajshahi Division, Bangladesh

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

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

    97%match
  9. 9

    🇧🇩JamālpurMymensingh Division, Bangladesh

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

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

    97%match
  10. 10

    🇮🇳Koch BihārWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 134 in rainZone 11a · No frost · 0 chill hours · 3,399 mm rain

    Shares 12 of your 16 great-fit crops · Also great there: wheat, barley, canola (rapeseed)

    97%match
  11. 11

    🇮🇳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 16 great-fit crops

    97%match
  12. 12

    🇧🇩MymensinghMymensingh Division, Bangladesh

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

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

    97%match
  13. 13

    🇮🇳MaldaWest Bengal, India

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

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

    96%match
  14. 14

    🇧🇩ChilmāriRangpur Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 98 in rainZone 11a · No frost · 0 chill hours · 2,491 mm rain

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

    96%match
  15. 15

    🇧🇩NawābganjRajshahi Division, Bangladesh

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

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

    96%match
  16. 16

    🇧🇩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 16 great-fit crops · Also great there: wheat, barley, canola (rapeseed)

    96%match
  17. 17

    🇲🇲MogaungKachin State, Myanmar

    Zone 10b · No frost · 6 chill hours · 78 in rainZone 10b · No frost · 6 chill hours · 1,992 mm rain

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

    95%match
  18. 18

    🇳🇵BharatpurBagmati Province, Nepal

    Zone 10b · Frost 2 years in 10 · 34 chill hours · 84 in rainZone 10b · Frost 2 years in 10 · 34 chill hours · 2,141 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: wheat, canola (rapeseed)

    94%match
  19. 19

    🇳🇵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 13 of your 16 great-fit crops · Also great there: wheat, fig, canola (rapeseed)

    94%match
  20. 20

    🇧🇩NāgarpurDhaka Division, Bangladesh

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

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