Climatch

Land with a climate like Īṭahari̇̄

🇳🇵Īṭahari̇̄, Koshi, Nepal

The towns with the closest growing climate to Īṭahari̇̄ are Kishanganj, India (99% match), Bhadrapur and Thākurgaon. About 219,000 sq mi of land in 6 countries matches 80% or better, most of it in West Bengal, India, Bihar, India and Assam, India.The towns with the closest growing climate to Īṭahari̇̄ are Kishanganj, India (99% match), Bhadrapur and Thākurgaon. About 567,000 km² of land in 6 countries matches 80% or better, most of it in West Bengal, India, Bihar, India and Assam, India.

Your growing climate

Zone 10b · No frost · 8 chill hours · 79 in rainZone 10b · No frost · 8 chill hours · 2,016 mm rain

What grows in Īṭahari̇̄ →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    31k sq mi79k km² matching 80% or better

    For example Islāmpur (99), Kāliyāganj (99)

  2. 2

    🇮🇳Bihar, India

    20k sq mi51k km² matching 80% or better

    For example Kishanganj (99), Thākurganj (99)

  3. 3

    🇮🇳Assam, India

    18k sq mi47k km² matching 80% or better

    For example Hojāi (93), Nagaon (93)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    18k sq mi46k km² matching 80% or better

    For example Tatkon (94), Tamu (93)

  5. 5

    🇲🇲Kachin State, Myanmar

    13k sq mi34k km² matching 80% or better

    For example Mogaung (95), Hopin (94)

  6. 6

    🇧🇩Chittagong, Bangladesh

    11k sq mi28k km² matching 80% or better

    For example Brāhmanbāria (92), Ashuganj City (91)

  7. 7

    🇧🇩Khulna Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Kushtia (97), Bherāmāra (96)

  8. 8

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Tangail (94), Nāgarpur (94)

  9. 9

    🇳🇵Madhesh, Nepal

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

    For example Lahān (97), Birgañj (93)

  10. 10

    🇹🇭Udon Thani, Thailand

    3,700 sq mi9,600 km² matching 80% or better

    For example Ban Dung (88), Ban Nong Wua So (81)

  11. 11

    🇱🇦Savannakhet Province, Laos

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

    For example Ban Xénô (81), Savannakhet (78)

  12. 12

    🇹🇭Sakon Nakhon, Thailand

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

    For example Sawang Daen Din (86), Warichaphum (83)

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 15 of your 15 great-fit crops · Also great there: date palm

    99%match
  2. 2

    🇳🇵BhadrapurKoshi, Nepal

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

    Shares 14 of your 15 great-fit crops · Also great there: wheat

    99%match
  3. 3

    🇧🇩ThākurgaonRangpur Division, Bangladesh

    Zone 10b · No frost · 4 chill hours · 90 in rainZone 10b · No frost · 4 chill hours · 2,282 mm rain

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

    99%match
  4. 4

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

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

    98%match
  6. 6

    🇮🇳RāiganjWest Bengal, India

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

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

    97%match
  7. 7

    🇧🇩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 15 of your 15 great-fit crops · Also great there: wheat, barley, date palm

    97%match
  8. 8

    🇳🇵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 13 of your 15 great-fit crops · Also great there: wheat, canola (rapeseed), date palm

    97%match
  9. 9

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

    97%match
  10. 10

    🇧🇩RajshahiRajshahi Division, Bangladesh

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

    Shares 14 of your 15 great-fit crops · Also great there: wheat, barley, date palm

    97%match
  11. 11

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

    97%match
  12. 12

    🇧🇩MohammadpurRajshahi Division, Bangladesh

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

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

    96%match
  13. 13

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

    96%match
  14. 14

    🇮🇳PurniaBihar, India

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

    Shares 14 of your 15 great-fit crops · Also great there: date palm

    96%match
  15. 15

    🇲🇲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 15 great-fit crops · Also great there: macadamia, wheat, barley

    95%match
  16. 16

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

    95%match
  17. 17

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

    95%match
  18. 18

    🇧🇩BeraRajshahi Division, Bangladesh

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

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

    95%match
  19. 19

    🇧🇩NawābganjRajshahi Division, Bangladesh

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

    Shares 14 of your 15 great-fit crops · Also great there: date palm, wheat, barley

    94%match
  20. 20

    🇲🇲TatkonSagaing Region, Myanmar

    Zone 11a · No frost · 1 chill hours · 80 in rainZone 11a · No frost · 1 chill hours · 2,028 mm rain

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

    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 Īṭahari̇̄: 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.