Climatch

Land with a climate like Nāmrup

🇮🇳Nāmrup, Assam, India

The towns with the closest growing climate to Nāmrup are Jorhat, India (99% match), North Lakhimpur and Pāsighāt. About 106,000 sq mi of land in 10 countries matches 80% or better, most of it in Assam, India, Guangdong, China and Kachin State, Myanmar.The towns with the closest growing climate to Nāmrup are Jorhat, India (99% match), North Lakhimpur and Pāsighāt. About 274,000 km² of land in 10 countries matches 80% or better, most of it in Assam, India, Guangdong, China and Kachin State, Myanmar.

Your growing climate

Zone 10b · No frost · 15 chill hours · 91 in rainZone 10b · No frost · 15 chill hours · 2,324 mm rain

What grows in Nāmrup →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    31k sq mi80k km² matching 80% or better

    For example Mariāni (99), Jorhat (99)

  2. 2

    🇨🇳Guangdong, China

    15k sq mi39k km² matching 80% or better

    For example Yangjiang (86), Yangchun (85)

  3. 3

    🇲🇲Kachin State, Myanmar

    14k sq mi36k km² matching 80% or better

    For example Danai (91), Myitkyina (86)

  4. 4

    🇮🇳Tripura, India

    4,900 sq mi13k km² matching 80% or better

    For example Dharmanagar (88), Kailāshahar (87)

  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

    3,500 sq mi9,100 km² matching 80% or better

    For example Maulavi Bāzār (88), Srimangal (86)

  7. 7

    🇱🇦Luang Prabang Province, Laos

    3,400 sq mi8,700 km² matching 80% or better

    For example Luang Prabang (76)

  8. 8

    🇹🇼Taiwan

    2,700 sq mi7,100 km² matching 80% or better

    For example Yongkang (86), Tainan (86)

  9. 9

    🇱🇦Vientiane, Laos

    2,500 sq mi6,600 km² matching 80% or better

    For example Vang Vieng (80)

  10. 10

    🇱🇦Oudômxai, Laos

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

    For example Muang Xay (80)

  11. 11

    🇲🇲Sagaing Region, Myanmar

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

    For example Tatkon (78), Tamu (78)

  12. 12

    🇻🇳Sơn La Province, Vietnam

    800 sq mi2,200 km² matching 80% or better

    For example Ít Ong (80), Thị Trấn Thuận Châu (79)

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

    🇮🇳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
  2. 2

    🇮🇳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
  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

    🇮🇳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
  5. 5

    🇮🇳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

    99%match
  6. 6

    🇮🇳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
  7. 7

    🇮🇳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
  8. 8

    🇮🇳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

    95%match
  9. 9

    🇮🇳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

    92%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

    91%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

    91%match
  12. 12

    🇲🇲DanaiKachin State, Myanmar

    Zone 10b · No frost · 29 chill hours · 119 in rainZone 10b · No frost · 29 chill hours · 3,013 mm rain

    Shares 17 of your 22 great-fit crops

    91%match
  13. 13

    🇮🇳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

    90%match
  14. 14

    🇮🇳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

    90%match
  15. 15

    🇮🇳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

    90%match
  16. 16

    🇮🇳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

    90%match
  17. 17

    🇮🇳HāflongAssam, India

    Zone 10b · Frost 1 years in 10 · 34 chill hours · 83 in rainZone 10b · Frost 1 years in 10 · 34 chill hours · 2,116 mm rain

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

    89%match
  18. 18

    🇮🇳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

    89%match
  19. 19

    🇮🇳DharmanagarTripura, India

    Zone 11a · No frost · 0 chill hours · 91 in rainZone 11a · No frost · 0 chill hours · 2,318 mm rain

    Shares 21 of your 22 great-fit crops

    88%match
  20. 20

    🇳🇵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

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 Nāmrup: 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.