Climatch

Land with a climate like Dibrugarh

🇮🇳Dibrugarh, Assam, India

The towns with the closest growing climate to Dibrugarh are North Lakhimpur, India (99% match), Jorhat and Pāsighāt. About 69,000 sq mi of land in 8 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and Tripura, India.The towns with the closest growing climate to Dibrugarh are North Lakhimpur, India (99% match), Jorhat and Pāsighāt. About 180,000 km² of land in 8 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and Tripura, India.

Your growing climate

Zone 10b · No frost · 16 chill hours · 93 in rainZone 10b · No frost · 16 chill hours · 2,369 mm rain

What grows in Dibrugarh →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    30k sq mi77k km² matching 80% or better

    For example North Lakhimpur (99), Jorhat (99)

  2. 2

    🇲🇲Kachin State, Myanmar

    8,100 sq mi21k km² matching 80% or better

    For example Myitkyina (85), Danai (85)

  3. 3

    🇮🇳Tripura, India

    4,100 sq mi11k km² matching 80% or better

    For example Dharmanagar (84), Kailāshahar (84)

  4. 4

    🇨🇳Guangdong, China

    3,900 sq mi10k km² matching 80% or better

    For example Xinyi (84), Yangchun (83)

  5. 5

    🇮🇳Arunachal Pradesh, India

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

    For example Naharlagun (99), Pāsighāt (99)

  6. 6

    🇧🇩Sylhet Division, Bangladesh

    3,300 sq mi8,400 km² matching 80% or better

    For example Maulavi Bāzār (85), Sylhet (84)

  7. 7

    🇱🇦Vientiane, Laos

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

    For example Vang Vieng (79)

  8. 8

    🇱🇦Luang Prabang Province, Laos

    1,400 sq mi3,600 km² matching 80% or better

    For example Luang Prabang (73)

  9. 9

    🇹🇼Taiwan

    1,100 sq mi2,800 km² matching 80% or better

    For example Yongkang (84), Tainan (84)

  10. 10

    🇳🇵Koshi, Nepal

    500 sq mi1,400 km² matching 80% or better

    For example Ilām (88), Khā̃dbāri̇̄ (86)

  11. 11

    🇧🇹Tsirang District, Bhutan

    500 sq mi1,400 km² matching 80% or better

    For example Tsirang (82)

  12. 12

    🇱🇦Bolikhamsai, Laos

    300 sq mi700 km² matching 80% or better

    For example Borikhan (75), Pakxan (74)

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

    🇮🇳North LakhimpurAssam, India

    Zone 10b · No frost · 11 chill hours · 118 in rainZone 10b · No frost · 11 chill hours · 2,991 mm rain

    Shares 18 of your 22 great-fit crops

    99%match
  2. 2

    🇮🇳JorhatAssam, India

    Zone 10b · No frost · 9 chill hours · 91 in rainZone 10b · No frost · 9 chill hours · 2,299 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  3. 3

    🇮🇳PāsighātArunachal Pradesh, India

    Zone 10b · Frost 1 years in 10 · 30 chill hours · 86 in rainZone 10b · Frost 1 years in 10 · 30 chill hours · 2,194 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: coffee (arabica)

    99%match
  4. 4

    🇮🇳MargheritaAssam, India

    Zone 10b · No frost · 21 chill hours · 96 in rainZone 10b · No frost · 21 chill hours · 2,430 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: coffee (arabica)

    99%match
  5. 5

    🇮🇳ItanagarArunachal Pradesh, India

    Zone 10b · No frost · 18 chill hours · 103 in rainZone 10b · No frost · 18 chill hours · 2,618 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: coffee (arabica)

    99%match
  6. 6

    🇮🇳AlongArunachal Pradesh, India

    Zone 10a · Frost 2 years in 10 · 49 chill hours · 90 in rainZone 10a · Frost 2 years in 10 · 49 chill hours · 2,289 mm rain

    Shares 19 of your 22 great-fit crops

    97%match
  7. 7

    🇮🇳TezuArunachal Pradesh, India

    Zone 10b · Frost 1 years in 10 · 43 chill hours · 94 in rainZone 10b · Frost 1 years in 10 · 43 chill hours · 2,382 mm rain

    Shares 19 of your 22 great-fit crops

    97%match
  8. 8

    🇮🇳Biswanath CharialiAssam, India

    Zone 10b · No frost · 5 chill hours · 90 in rainZone 10b · No frost · 5 chill hours · 2,288 mm rain

    Shares 22 of your 22 great-fit crops

    97%match
  9. 9

    🇮🇳DimāpurNagaland, India

    Zone 10b · No frost · 11 chill hours · 62 in rainZone 10b · No frost · 11 chill hours · 1,581 mm rain

    Shares 19 of your 22 great-fit crops

    93%match
  10. 10

    🇮🇳JaigaonWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 153 in rainZone 11a · No frost · 0 chill hours · 3,874 mm rain

    Shares 16 of your 22 great-fit crops

    92%match
  11. 11

    🇮🇳DhekiajuliAssam, India

    Zone 11a · No frost · 0 chill hours · 78 in rainZone 11a · No frost · 0 chill hours · 1,987 mm rain

    Shares 21 of your 22 great-fit crops

    90%match
  12. 12

    🇮🇳NalbāriAssam, India

    Zone 11a · No frost · 0 chill hours · 88 in rainZone 11a · No frost · 0 chill hours · 2,234 mm rain

    Shares 22 of your 22 great-fit crops

    89%match
  13. 13

    🇮🇳MonNagaland, India

    Zone 10a · Frost 2 years in 10 · 74 chill hours · 95 in rainZone 10a · Frost 2 years in 10 · 74 chill hours · 2,409 mm rain

    Shares 17 of your 22 great-fit crops

    88%match
  14. 14

    🇮🇳SeppaArunachal Pradesh, India

    Zone 10b · Frost 2 years in 10 · 54 chill hours · 92 in rainZone 10b · Frost 2 years in 10 · 54 chill hours · 2,347 mm rain

    Shares 18 of your 22 great-fit crops

    88%match
  15. 15

    🇳🇵IlāmKoshi, Nepal

    Zone 10b · No frost · 15 chill hours · 98 in rainZone 10b · No frost · 15 chill hours · 2,485 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: coffee (arabica)

    88%match
  16. 16

    🇮🇳BarpetaAssam, India

    Zone 11a · No frost · 0 chill hours · 88 in rainZone 11a · No frost · 0 chill hours · 2,246 mm rain

    Shares 21 of your 22 great-fit crops

    87%match
  17. 17

    🇮🇳MangaldaiAssam, India

    Zone 11a · No frost · 0 chill hours · 67 in rainZone 11a · No frost · 0 chill hours · 1,696 mm rain

    Shares 21 of your 22 great-fit crops

    87%match
  18. 18

    🇮🇳GuwahatiAssam, India

    Zone 11a · No frost · 0 chill hours · 68 in rainZone 11a · No frost · 0 chill hours · 1,739 mm rain

    Shares 21 of your 22 great-fit crops

    87%match
  19. 19

    🇮🇳SilcharAssam, India

    Zone 11a · No frost · 0 chill hours · 92 in rainZone 11a · No frost · 0 chill hours · 2,336 mm rain

    Shares 19 of your 22 great-fit crops

    87%match
  20. 20

    🇳🇵Khā̃dbāri̇̄Koshi, Nepal

    Zone 10b · Frost 1 years in 10 · 40 chill hours · 76 in rainZone 10b · Frost 1 years in 10 · 40 chill hours · 1,941 mm rain

    Shares 19 of your 22 great-fit crops · Also great there: coffee (arabica)

    86%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 Dibrugarh: 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.