Climatch

Land with a climate like North Guwāhāti

🇮🇳North Guwāhāti, Assam, India

The towns with the closest growing climate to North Guwāhāti are Nagaon, India (99% match), Dhekiajuli and Hojāi. About 225,000 sq mi of land in 11 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and West Bengal, India.The towns with the closest growing climate to North Guwāhāti are Nagaon, India (99% match), Dhekiajuli and Hojāi. About 582,000 km² of land in 11 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and West Bengal, India.

Your growing climate

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

What grows in North Guwāhāti →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    31k sq mi80k km² matching 80% or better

    For example Dhing (99), Nagaon (99)

  2. 2

    🇲🇲Kachin State, Myanmar

    18k sq mi48k km² matching 80% or better

    For example Myitkyina (96), Mogaung (95)

  3. 3

    🇮🇳West Bengal, India

    15k sq mi40k km² matching 80% or better

    For example Fālākāta (93), Alīpur Duār (93)

  4. 4

    🇲🇲Sagaing Region, Myanmar

    14k sq mi37k km² matching 80% or better

    For example Tatkon (93), Tamu (92)

  5. 5

    🇧🇩Chittagong, Bangladesh

    9,900 sq mi26k km² matching 80% or better

    For example Shāhbāzpur Town (98), Brāhmanbāria (97)

  6. 6

    🇧🇩Khulna Division, Bangladesh

    8,500 sq mi22k km² matching 80% or better

    For example Kushtia (93), Kālīganj (92)

  7. 7

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Bājitpur (97), Kishorganj (97)

  8. 8

    🇮🇳Tripura, India

    5,700 sq mi15k km² matching 80% or better

    For example Khowai (99), Āmbāsa (98)

  9. 9

    🇹🇭Nan, Thailand

    5,100 sq mi13k km² matching 80% or better

    For example Nan (75)

  10. 10

    🇱🇦Luang Prabang Province, Laos

    4,800 sq mi12k km² matching 80% or better

    For example Luang Prabang (86)

  11. 11

    🇱🇦Bokeo, Laos

    4,800 sq mi12k km² matching 80% or better

    For example Ban Khoan (80), Ban Houakhoua (78)

  12. 12

    🇱🇦Bolikhamsai, Laos

    4,000 sq mi10k km² matching 80% or better

    For example Pakxan (90), Borikhan (89)

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

    🇮🇳NagaonAssam, India

    Zone 11a · No frost · 0 chill hours · 64 in rainZone 11a · No frost · 0 chill hours · 1,613 mm rain

    Shares 20 of your 21 great-fit crops

    99%match
  2. 2

    🇮🇳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 21 great-fit crops

    99%match
  3. 3

    🇮🇳HojāiAssam, India

    Zone 10b · No frost · 5 chill hours · 58 in rainZone 10b · No frost · 5 chill hours · 1,466 mm rain

    Shares 18 of your 21 great-fit crops · Also great there: fig

    99%match
  4. 4

    🇮🇳Barpeta RoadAssam, India

    Zone 11a · No frost · 0 chill hours · 110 in rainZone 11a · No frost · 0 chill hours · 2,791 mm rain

    Shares 19 of your 21 great-fit crops · Also great there: potato

    99%match
  5. 5

    🇮🇳GolāghātAssam, India

    Zone 10b · No frost · 8 chill hours · 75 in rainZone 10b · No frost · 8 chill hours · 1,913 mm rain

    Shares 21 of your 21 great-fit crops · Also great there: potato

    98%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 21 of your 21 great-fit crops · Also great there: potato

    98%match
  7. 7

    🇮🇳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 21 great-fit crops

    98%match
  8. 8

    🇧🇩HabiganjSylhet Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 95 in rainZone 11a · No frost · 0 chill hours · 2,402 mm rain

    Shares 21 of your 21 great-fit crops

    98%match
  9. 9

    🇮🇳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 21 great-fit crops

    98%match
  10. 10

    🇮🇳AgartalaTripura, India

    Zone 11a · No frost · 1 chill hours · 82 in rainZone 11a · No frost · 1 chill hours · 2,071 mm rain

    Shares 19 of your 21 great-fit crops

    97%match
  11. 11

    🇮🇳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 21 great-fit crops

    97%match
  12. 12

    🇧🇩NāgarpurDhaka Division, Bangladesh

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

    Shares 18 of your 21 great-fit crops

    97%match
  13. 13

    🇧🇩ComillaChittagong, Bangladesh

    Zone 11a · No frost · 0 chill hours · 86 in rainZone 11a · No frost · 0 chill hours · 2,186 mm rain

    Shares 21 of your 21 great-fit crops

    97%match
  14. 14

    🇧🇩GazipurDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 84 in rainZone 11a · No frost · 0 chill hours · 2,145 mm rain

    Shares 20 of your 21 great-fit crops

    96%match
  15. 15

    🇮🇳Lumding Railway ColonyAssam, India

    Zone 10b · No frost · 25 chill hours · 55 in rainZone 10b · No frost · 25 chill hours · 1,408 mm rain

    Shares 18 of your 21 great-fit crops · Also great there: fig

    96%match
  16. 16

    🇮🇳BongaigaonAssam, India

    Zone 11a · No frost · 0 chill hours · 132 in rainZone 11a · No frost · 0 chill hours · 3,353 mm rain

    Shares 17 of your 21 great-fit crops · Also great there: potato

    96%match
  17. 17

    🇮🇳ResubelparaMeghalaya, India

    Zone 11a · No frost · 0 chill hours · 118 in rainZone 11a · No frost · 0 chill hours · 2,992 mm rain

    Shares 19 of your 21 great-fit crops

    96%match
  18. 18

    🇧🇩MymensinghMymensingh Division, Bangladesh

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

    Shares 19 of your 21 great-fit crops

    96%match
  19. 19

    🇲🇲MyitkyinaKachin State, Myanmar

    Zone 11a · No frost · 2 chill hours · 72 in rainZone 11a · No frost · 2 chill hours · 1,819 mm rain

    Shares 19 of your 21 great-fit crops

    96%match
  20. 20

    🇧🇩JamālpurMymensingh Division, Bangladesh

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

    Shares 18 of your 21 great-fit crops

    96%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 North Guwāhāti: 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.