Climatch

Land with a climate like Diphu

🇮🇳Diphu, Assam, India

The towns with the closest growing climate to Diphu are Golāghāt, India (99% match), Guwahati and Mohnyin. About 211,000 sq mi of land in 12 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and Sagaing Region, Myanmar.The towns with the closest growing climate to Diphu are Golāghāt, India (99% match), Guwahati and Mohnyin. About 546,000 km² of land in 12 countries matches 80% or better, most of it in Assam, India, Kachin State, Myanmar and Sagaing Region, Myanmar.

Your growing climate

Zone 10b · No frost · 23 chill hours · 58 in rainZone 10b · No frost · 23 chill hours · 1,465 mm rain

What grows in Diphu →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    29k sq mi76k km² matching 80% or better

    For example Golāghāt (99), Titabor Town (98)

  2. 2

    🇲🇲Kachin State, Myanmar

    18k sq mi48k km² matching 80% or better

    For example Mohnyin (96), Hopin (96)

  3. 3

    🇲🇲Sagaing Region, Myanmar

    14k sq mi37k km² matching 80% or better

    For example Tatkon (94), Tamu (93)

  4. 4

    🇧🇩Dhaka Division, Bangladesh

    7,400 sq mi19k km² matching 80% or better

    For example Nāgarpur (91), Mānikganj (91)

  5. 5

    🇺🇸Florida, United States

    7,200 sq mi19k km² matching 80% or better

    For example East Naples (83), Marco Island (83)

  6. 6

    🇧🇩Rajshahi Division, Bangladesh

    7,100 sq mi18k km² matching 80% or better

    For example Shāhzādpur (90), Pābna (90)

  7. 7

    🇧🇩Khulna Division, Bangladesh

    6,100 sq mi16k km² matching 80% or better

    For example Kālīganj (90), Jessore (90)

  8. 8

    🇮🇳West Bengal, India

    6,000 sq mi15k km² matching 80% or better

    For example Bangaon (86), Gobārdānga (84)

  9. 9

    🇮🇳Tripura, India

    5,700 sq mi15k km² matching 80% or better

    For example Āmbāsa (95), Kanchanpur (95)

  10. 10

    🇱🇦Luang Prabang Province, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Luang Prabang (90)

  11. 11

    🇱🇦Bokeo, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Ban Khoan (82), Ban Houakhoua (80)

  12. 12

    🇱🇦Oudômxai, Laos

    5,000 sq mi13k km² matching 80% or better

    For example Muang Xay (91)

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

    🇮🇳GolāghātAssam, India

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

    Shares 20 of your 21 great-fit crops · Also great there: potato, banana

    99%match
  2. 2

    🇮🇳GuwahatiAssam, India

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

    Shares 20 of your 21 great-fit crops · Also great there: banana

    97%match
  3. 3

    🇲🇲MohnyinKachin State, Myanmar

    Zone 10b · No frost · 11 chill hours · 65 in rainZone 10b · No frost · 11 chill hours · 1,644 mm rain

    Shares 19 of your 21 great-fit crops

    96%match
  4. 4

    🇲🇲MyitkyinaKachin State, Myanmar

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

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

    96%match
  5. 5

    🇮🇳NagaonAssam, India

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

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

    96%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 20 of your 21 great-fit crops · Also great there: banana, potato

    96%match
  7. 7

    🇮🇳MorigaonAssam, India

    Zone 11a · No frost · 0 chill hours · 60 in rainZone 11a · No frost · 0 chill hours · 1,527 mm rain

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

    95%match
  8. 8

    🇲🇲LakangKachin State, Myanmar

    Zone 10b · No frost · 12 chill hours · 62 in rainZone 10b · No frost · 12 chill hours · 1,571 mm rain

    Shares 19 of your 21 great-fit crops

    95%match
  9. 9

    🇲🇲MogaungKachin State, Myanmar

    Zone 10b · No frost · 6 chill hours · 78 in rainZone 10b · No frost · 6 chill hours · 1,992 mm rain

    Shares 18 of your 21 great-fit crops

    95%match
  10. 10

    🇮🇳SilcharAssam, India

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

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

    95%match
  11. 11

    🇮🇳DharmanagarTripura, India

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

    Shares 20 of your 21 great-fit crops · Also great there: banana

    94%match
  12. 12

    🇮🇳SibsāgarAssam, India

    Zone 10b · No frost · 10 chill hours · 94 in rainZone 10b · No frost · 10 chill hours · 2,387 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: potato, banana

    94%match
  13. 13

    🇮🇳TanglaAssam, India

    Zone 11a · No frost · 0 chill hours · 83 in rainZone 11a · No frost · 0 chill hours · 2,097 mm rain

    Shares 20 of your 21 great-fit crops · Also great there: potato, banana

    94%match
  14. 14

    🇲🇲TatkonSagaing Region, Myanmar

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

    Shares 18 of your 21 great-fit crops

    94%match
  15. 15

    🇮🇳DhekiajuliAssam, India

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

    Shares 20 of your 21 great-fit crops · Also great there: banana

    93%match
  16. 16

    🇮🇳NalbāriAssam, India

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

    Shares 20 of your 21 great-fit crops · Also great there: potato, banana

    93%match
  17. 17

    🇳🇵DharānKoshi, Nepal

    Zone 10b · No frost · 10 chill hours · 69 in rainZone 10b · No frost · 10 chill hours · 1,756 mm rain

    Shares 18 of your 21 great-fit crops

    93%match
  18. 18

    🇲🇲HpākānKachin State, Myanmar

    Zone 10b · No frost · 12 chill hours · 98 in rainZone 10b · No frost · 12 chill hours · 2,500 mm rain

    Shares 19 of your 21 great-fit crops

    93%match
  19. 19

    🇲🇲TamuSagaing Region, Myanmar

    Zone 11a · No frost · 1 chill hours · 91 in rainZone 11a · No frost · 1 chill hours · 2,322 mm rain

    Shares 18 of your 21 great-fit crops

    93%match
  20. 20

    🇮🇳BarpetaAssam, India

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

    Shares 20 of your 21 great-fit crops · Also great there: banana

    93%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 Diphu: 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.