Climatch

Land with a climate like Banepā

🇳🇵Banepā, Bagmati Province, Nepal

The towns with the closest growing climate to Banepā are Wokha, India (92% match), Pokhara and Kohima. About 70,000 sq mi of land in 7 countries matches 80% or better, most of it in Yunnan, China, Arunachal Pradesh, India and Nagaland, India.The towns with the closest growing climate to Banepā are Wokha, India (92% match), Pokhara and Kohima. About 182,000 km² of land in 7 countries matches 80% or better, most of it in Yunnan, China, Arunachal Pradesh, India and Nagaland, India.

Your growing climate

Zone 9b · 322 frost-free days · 576 chill hours · 78 in rainZone 9b · 322 frost-free days · 576 chill hours · 1,979 mm rain

What grows in Banepā →

Regions with the most land like yours

  1. 1

    🇨🇳Yunnan, China

    22k sq mi56k km² matching 80% or better

    For example Hehua (92), Zhonghe (92)

  2. 2

    🇮🇳Arunachal Pradesh, India

    6,300 sq mi16k km² matching 80% or better

    For example Seppa (59)

  3. 3

    🇮🇳Nagaland, India

    5,400 sq mi14k km² matching 80% or better

    For example Zunheboto (94), Wokha (92)

  4. 4

    🇳🇵Bagmati Province, Nepal

    5,000 sq mi13k km² matching 80% or better

  5. 5

    🇮🇳Assam, India

    3,200 sq mi8,300 km² matching 80% or better

  6. 6

    🇳🇵Koshi, Nepal

    2,400 sq mi6,200 km² matching 80% or better

    For example Dhankutā (63), Khā̃dbāri̇̄ (59)

  7. 7

    🇳🇵Lumbini Province, Nepal

    2,400 sq mi6,100 km² matching 80% or better

    For example Tānsen (87)

  8. 8

    🇲🇲Kachin State, Myanmar

    1,600 sq mi4,200 km² matching 80% or better

  9. 9

    🇻🇳Lai Châu Province, Vietnam

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

    For example Lai Châu (73)

  10. 10

    🇲🇲Shan State, Myanmar

    1,400 sq mi3,500 km² matching 80% or better

    For example Kutkai (74), Panglong (73)

  11. 11

    🇻🇳Sơn La Province, Vietnam

    600 sq mi1,400 km² matching 80% or better

  12. 12

    🇻🇳Lao Cai, Vietnam

    600 sq mi1,400 km² matching 80% or better

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

    🇮🇳WokhaNagaland, India

    Zone 10a · 352 frost-free days · 291 chill hours · 77 in rainZone 10a · 352 frost-free days · 291 chill hours · 1,949 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: macadamia, apple

    92%match
  2. 2

    🇳🇵PokharaGandaki Pradesh, Nepal

    Zone 10a · 351 frost-free days · 289 chill hours · 108 in rainZone 10a · 351 frost-free days · 289 chill hours · 2,742 mm rain

    Shares 13 of your 17 great-fit crops · Also great there: macadamia

    91%match
  3. 3

    🇮🇳KohimaNagaland, India

    Zone 10a · Frost 6 years in 10 · 242 chill hours · 74 in rainZone 10a · Frost 6 years in 10 · 242 chill hours · 1,871 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: macadamia, apple, sorghum

    91%match
  4. 4

    🇮🇳UkhrulManipur, India

    Zone 9b · 339 frost-free days · 481 chill hours · 78 in rainZone 9b · 339 frost-free days · 481 chill hours · 1,983 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: apple

    90%match
  5. 5

    🇨🇳JietouYunnan, China

    Zone 9a · 311 frost-free days · 716 chill hours · 49 in rainZone 9a · 311 frost-free days · 716 chill hours · 1,252 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: peach, pear, cherry

    90%match
  6. 6

    🇨🇳TengyueYunnan, China

    Zone 9a · 307 frost-free days · 769 chill hours · 51 in rainZone 9a · 307 frost-free days · 769 chill hours · 1,283 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: peach, pear, cherry

    89%match
  7. 7

    🇨🇳Longling CountyYunnan, China

    Zone 9b · 324 frost-free days · 579 chill hours · 50 in rainZone 9b · 324 frost-free days · 579 chill hours · 1,273 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: apple, cherry, peanut

    89%match
  8. 8

    🇳🇵TānsenLumbini Province, Nepal

    Zone 9b · 343 frost-free days · 325 chill hours · 69 in rainZone 9b · 343 frost-free days · 325 chill hours · 1,763 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: sorghum, apple, peanut

    87%match
  9. 9

    🇮🇳TuensangNagaland, India

    Zone 10a · Frost 6 years in 10 · 221 chill hours · 86 in rainZone 10a · Frost 6 years in 10 · 221 chill hours · 2,177 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: macadamia, sorghum, apple

    87%match
  10. 10

    🇮🇳DārjilingWest Bengal, India

    Zone 9b · 348 frost-free days · 418 chill hours · 118 in rainZone 9b · 348 frost-free days · 418 chill hours · 2,987 mm rain

    Shares 12 of your 17 great-fit crops

    85%match
  11. 11

    🇧🇹PunākhaPunakha, Bhutan

    Zone 9b · 344 frost-free days · 386 chill hours · 54 in rainZone 9b · 344 frost-free days · 386 chill hours · 1,372 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: apple, cotton, peach

    84%match
  12. 12

    🇨🇳LushuiYunnan, China

    Zone 10a · 350 frost-free days · 266 chill hours · 54 in rainZone 10a · 350 frost-free days · 266 chill hours · 1,372 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: sorghum, macadamia, apple

    83%match
  13. 13

    🇨🇳Wenshan CityYunnan, China

    Zone 10a · Frost 6 years in 10 · 297 chill hours · 50 in rainZone 10a · Frost 6 years in 10 · 297 chill hours · 1,270 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: macadamia, peanut, sorghum

    83%match
  14. 14

    🇳🇵DailekhKarnali Pradesh, Nepal

    Zone 9b · 349 frost-free days · 285 chill hours · 57 in rainZone 9b · 349 frost-free days · 285 chill hours · 1,445 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: sorghum, apple, cotton

    81%match
  15. 15

    🇨🇳MengziYunnan, China

    Zone 10a · Frost 3 years in 10 · 161 chill hours · 42 in rainZone 10a · Frost 3 years in 10 · 161 chill hours · 1,073 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: apple, peach, peanut

    81%match
  16. 16

    🇳🇵Amargaḍhi̇̄Sudurpashchim Pradesh, Nepal

    Zone 9b · 332 frost-free days · 432 chill hours · 59 in rainZone 9b · 332 frost-free days · 432 chill hours · 1,511 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: sorghum, cotton, peanut

    81%match
  17. 17

    🇮🇳NgūrMizoram, India

    Zone 10a · Frost 2 years in 10 · 137 chill hours · 73 in rainZone 10a · Frost 2 years in 10 · 137 chill hours · 1,851 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: macadamia, apple, sorghum

    80%match
  18. 18

    🇨🇳BaoshanYunnan, China

    Zone 9b · 312 frost-free days · 731 chill hours · 36 in rainZone 9b · 312 frost-free days · 731 chill hours · 916 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: peach, pear, cherry

    80%match
  19. 19

    🇮🇳ShillongMeghalaya, India

    Zone 10a · Frost 7 years in 10 · 324 chill hours · 120 in rainZone 10a · Frost 7 years in 10 · 324 chill hours · 3,036 mm rain

    Shares 11 of your 17 great-fit crops

    79%match
  20. 20

    🇨🇳YuxiYunnan, China

    Zone 9b · 335 frost-free days · 504 chill hours · 32 in rainZone 9b · 335 frost-free days · 504 chill hours · 816 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: cherry, garlic, almond

    79%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 Banepā: 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.