Climatch

Land with a climate like Inaruwa

🇳🇵Inaruwa, Koshi, Nepal

The towns with the closest growing climate to Inaruwa are Kishanganj, India (99% match), Dinajpur and Rāiganj. About 193,000 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 Inaruwa are Kishanganj, India (99% match), Dinajpur and Rāiganj. About 500,000 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 · 10 chill hours · 71 in rainZone 10b · No frost · 10 chill hours · 1,814 mm rain

What grows in Inaruwa →

Regions with the most land like yours

  1. 1

    🇮🇳West Bengal, India

    30k sq mi79k km² matching 80% or better

    For example Kāliyāganj (99), Islāmpur (99)

  2. 2

    🇮🇳Bihar, India

    23k sq mi59k km² matching 80% or better

    For example Kishanganj (99), Bahādurganj (99)

  3. 3

    🇲🇲Sagaing Region, Myanmar

    18k sq mi47k km² matching 80% or better

    For example Tatkon (93), Kyauktan (93)

  4. 4

    🇮🇳Assam, India

    14k sq mi36k km² matching 80% or better

    For example Nagaon (92), Morigaon (92)

  5. 5

    🇲🇲Kachin State, Myanmar

    11k sq mi30k km² matching 80% or better

    For example Mogaung (94), Shwegu (93)

  6. 6

    🇧🇩Chittagong, Bangladesh

    9,400 sq mi24k km² matching 80% or better

    For example Khagrachhari (89), Brāhmanbāria (88)

  7. 7

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Tangail (94), Nāgarpur (93)

  8. 8

    🇧🇩Rajshahi Division, Bangladesh

    7,300 sq mi19k km² matching 80% or better

    For example Joypur Hāt (98), Mohammadpur (98)

  9. 9

    🇳🇵Madhesh, Nepal

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

    For example Birgañj (96), Malaṅgawā (94)

  10. 10

    🇹🇭Udon Thani, Thailand

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

    For example Ban Dung (86), Ban Nong Wua So (80)

  11. 11

    🇹🇭Bueng Kan, Thailand

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

    For example Seka (88)

  12. 12

    🇳🇵Koshi, Nepal

    2,700 sq mi6,900 km² matching 80% or better

    For example Bhadrapur (99), Ilām (84)

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 16 great-fit crops · Also great there: avocado

    99%match
  2. 2

    🇧🇩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: avocado, barley

    99%match
  3. 3

    🇮🇳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 16 great-fit crops · Also great there: avocado

    99%match
  4. 4

    🇳🇵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 16 great-fit crops

    99%match
  5. 5

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

    99%match
  6. 6

    🇮🇳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

    99%match
  7. 7

    🇮🇳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: avocado, barley

    98%match
  8. 8

    🇧🇩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: barley, avocado

    98%match
  9. 9

    🇧🇩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: avocado, barley, canola (rapeseed)

    97%match
  10. 10

    🇮🇳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

    97%match
  11. 11

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

    97%match
  12. 12

    🇧🇩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: avocado, barley, canola (rapeseed)

    97%match
  13. 13

    🇳🇵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 15 of your 16 great-fit crops · Also great there: canola (rapeseed)

    97%match
  14. 14

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

    96%match
  15. 15

    🇮🇳BihārīganjBihar, India

    Zone 10b · Frost 1 years in 10 · 21 chill hours · 50 in rainZone 10b · Frost 1 years in 10 · 21 chill hours · 1,277 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: fig

    96%match
  16. 16

    🇳🇵BirgañjMadhesh, Nepal

    Zone 10b · Frost 2 years in 10 · 37 chill hours · 58 in rainZone 10b · Frost 2 years in 10 · 37 chill hours · 1,473 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: fig

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

    95%match
  18. 18

    🇧🇩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: barley, canola (rapeseed), avocado

    94%match
  19. 19

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

    94%match
  20. 20

    🇲🇲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: avocado, macadamia, 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 Inaruwa: 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.