Climatch

Land with a climate like Phuntsholing

🇧🇹Phuntsholing, Chukha, Bhutan

The towns with the closest growing climate to Phuntsholing are Naharlagun, India (97% match), North Lakhimpur and Barpeta Road. About 103,000 sq mi of land in 8 countries matches 80% or better, most of it in Assam, India, Chittagong, Bangladesh and Kachin State, Myanmar.The towns with the closest growing climate to Phuntsholing are Naharlagun, India (97% match), North Lakhimpur and Barpeta Road. About 266,000 km² of land in 8 countries matches 80% or better, most of it in Assam, India, Chittagong, Bangladesh and Kachin State, Myanmar.

Your growing climate

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

What grows in Phuntsholing →

Regions with the most land like yours

  1. 1

    🇮🇳Assam, India

    29k sq mi76k km² matching 80% or better

    For example North Lakhimpur (96), Barpeta Road (96)

  2. 2

    🇧🇩Chittagong, Bangladesh

    8,300 sq mi21k km² matching 80% or better

    For example Shāhbāzpur Town (86), Lākshām (86)

  3. 3

    🇲🇲Kachin State, Myanmar

    7,500 sq mi20k km² matching 80% or better

    For example Danai (85), Myitkyina (84)

  4. 4

    🇧🇩Dhaka Division, Bangladesh

    6,600 sq mi17k km² matching 80% or better

    For example Bājitpur (87), Kishorganj (85)

  5. 5

    🇮🇳Tripura, India

    5,700 sq mi15k km² matching 80% or better

    For example Dharmanagar (90), Kailāshahar (89)

  6. 6

    🇮🇳West Bengal, India

    5,300 sq mi14k km² matching 80% or better

    For example Siliguri (94), Bagdogra (91)

  7. 7

    🇧🇩Sylhet Division, Bangladesh

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

    For example Sylhet (95), Chhātak (94)

  8. 8

    🇱🇦Bolikhamsai, Laos

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

    For example Borikhan (85), Pakxan (84)

  9. 9

    🇱🇦Vientiane, Laos

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

    For example Vang Vieng (87)

  10. 10

    🇱🇦Khammouane Province, Laos

    2,000 sq mi5,200 km² matching 80% or better

    For example Thakhèk (72)

  11. 11

    🇹🇼Taiwan

    1,700 sq mi4,300 km² matching 80% or better

    For example Chaozhou (86), Tainan (84)

  12. 12

    🇹🇭Bueng Kan, Thailand

    1,400 sq mi3,700 km² matching 80% or better

    For example Seka (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

    🇮🇳NaharlagunArunachal Pradesh, India

    Zone 10b · No frost · 8 chill hours · 107 in rainZone 10b · No frost · 8 chill hours · 2,718 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: sugarcane, mango, macadamia

    97%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 16 of your 16 great-fit crops · Also great there: sugarcane, mango

    96%match
  3. 3

    🇮🇳Barpeta RoadAssam, India

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

    Shares 16 of your 16 great-fit crops · Also great there: mango, sugarcane, cassava

    96%match
  4. 4

    🇮🇳BongaigaonAssam, India

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

    Shares 15 of your 16 great-fit crops · Also great there: mango, sugarcane, cassava

    95%match
  5. 5

    🇧🇩SylhetSylhet Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 148 in rainZone 11a · No frost · 0 chill hours · 3,770 mm rain

    Shares 14 of your 16 great-fit crops

    95%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 16 of your 16 great-fit crops · Also great there: sugarcane, mango, citrus

    94%match
  7. 7

    🇮🇳JorhatAssam, India

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

    Shares 16 of your 16 great-fit crops · Also great there: sugarcane, mango, citrus

    94%match
  8. 8

    🇧🇩SunāmganjSylhet Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 127 in rainZone 11a · No frost · 0 chill hours · 3,225 mm rain

    Shares 16 of your 16 great-fit crops · Also great there: mango, sugarcane, cassava

    94%match
  9. 9

    🇮🇳SiliguriWest Bengal, India

    Zone 11a · No frost · 0 chill hours · 140 in rainZone 11a · No frost · 0 chill hours · 3,567 mm rain

    Shares 12 of your 16 great-fit crops · Also great there: mango, sugarcane

    94%match
  10. 10

    🇮🇳SibsāgarAssam, India

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

    Shares 16 of your 16 great-fit crops · Also great there: sugarcane, mango, citrus

    93%match
  11. 11

    🇮🇳KarīmganjAssam, India

    Zone 11a · No frost · 0 chill hours · 133 in rainZone 11a · No frost · 0 chill hours · 3,368 mm rain

    Shares 14 of your 16 great-fit crops · Also great there: mango, sugarcane

    93%match
  12. 12

    🇮🇳DibrugarhAssam, India

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

    Shares 16 of your 16 great-fit crops · Also great there: sugarcane, macadamia, citrus

    92%match
  13. 13

    🇮🇳NalbāriAssam, India

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

    Shares 16 of your 16 great-fit crops · Also great there: mango, sugarcane, cassava

    92%match
  14. 14

    🇧🇩Maulavi BāzārSylhet Division, Bangladesh

    Zone 11a · No frost · 3 chill hours · 106 in rainZone 11a · No frost · 3 chill hours · 2,681 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: mango, sugarcane, cassava

    91%match
  15. 15

    🇮🇳SilcharAssam, India

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

    Shares 14 of your 16 great-fit crops · Also great there: mango, sugarcane, cassava

    90%match
  16. 16

    🇮🇳DhekiajuliAssam, India

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

    Shares 15 of your 16 great-fit crops · Also great there: sugarcane, mango, citrus

    90%match
  17. 17

    🇧🇩HabiganjSylhet Division, Bangladesh

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

    Shares 15 of your 16 great-fit crops · Also great there: mango, sugarcane, cassava

    90%match
  18. 18

    🇮🇳BilāsipāraAssam, India

    Zone 11a · No frost · 0 chill hours · 121 in rainZone 11a · No frost · 0 chill hours · 3,081 mm rain

    Shares 15 of your 16 great-fit crops · Also great there: mango, sugarcane, cassava

    90%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 15 of your 16 great-fit crops · Also great there: mango, sugarcane, cassava

    90%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 15 of your 16 great-fit crops · Also great there: macadamia, sugarcane, mango

    89%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 Phuntsholing: 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.