Climatch

Land with a climate like Vang Vieng

🇱🇦Vang Vieng, Vientiane, Laos

The towns with the closest growing climate to Vang Vieng are Pakxan, Laos (94% match), Ban Khoan and Luang Prabang. About 333,000 sq mi of land in 16 countries matches 80% or better, most of it in Mato Grosso, Brazil, Assam, India and Chittagong, Bangladesh.The towns with the closest growing climate to Vang Vieng are Pakxan, Laos (94% match), Ban Khoan and Luang Prabang. About 862,000 km² of land in 16 countries matches 80% or better, most of it in Mato Grosso, Brazil, Assam, India and Chittagong, Bangladesh.

Your growing climate

Zone 11b · No frost · 0 chill hours · 118 in rainZone 11b · No frost · 0 chill hours · 3,005 mm rain

What grows in Vang Vieng →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    39k sq mi101k km² matching 80% or better

    For example Lucas (84), Poconé (84)

  2. 2

    🇮🇳Assam, India

    21k sq mi54k km² matching 80% or better

    For example Silchar (90), Hailākāndi (88)

  3. 3

    🇧🇩Chittagong, Bangladesh

    15k sq mi38k km² matching 80% or better

    For example Rāmganj (90), Hājīganj (90)

  4. 4

    🇲🇲Kachin State, Myanmar

    14k sq mi35k km² matching 80% or better

    For example Hpākān (87), Myitkyina (87)

  5. 5

    🇲🇲Sagaing Region, Myanmar

    11k sq mi29k km² matching 80% or better

    For example Tatkon (89), Tamu (88)

  6. 6

    🇧🇴Beni Department, Bolivia

    9,500 sq mi25k km² matching 80% or better

    For example Trinidad (80), San Borja (77)

  7. 7

    🇧🇷Mato Grosso do Sul, Brazil

    8,800 sq mi23k km² matching 80% or better

    For example Coxim (84), Rio Verde de Mato Grosso (80)

  8. 8

    🇧🇴Santa Cruz Department, Bolivia

    8,000 sq mi21k km² matching 80% or better

    For example San Ignacio de Velasco (79), Ascención de Guarayos (78)

  9. 9

    🇧🇩Khulna Division, Bangladesh

    8,000 sq mi21k km² matching 80% or better

    For example Kālia (90), Narail (89)

  10. 10

    🇧🇩Dhaka Division, Bangladesh

    7,100 sq mi18k km² matching 80% or better

    For example Narayanganj (92), Sonārgaon (91)

  11. 11

    🇮🇳West Bengal, India

    6,000 sq mi16k km² matching 80% or better

    For example Hāsimāra (89), Goyerkāta (89)

  12. 12

    🇮🇳Tripura, India

    5,700 sq mi15k km² matching 80% or better

    For example Charipara (88), Dharmanagar (87)

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

    🇱🇦PakxanBolikhamsai, Laos

    Zone 11b · No frost · 0 chill hours · 114 in rainZone 11b · No frost · 0 chill hours · 2,898 mm rain

    Shares 17 of your 17 great-fit crops

    94%match
  2. 2

    🇱🇦Ban KhoanBokeo, Laos

    Zone 11b · No frost · 0 chill hours · 66 in rainZone 11b · No frost · 0 chill hours · 1,679 mm rain

    Shares 13 of your 17 great-fit crops · Also great there: citrus, avocado

    92%match
  3. 3

    🇱🇦Luang PrabangLuang Prabang Province, Laos

    Zone 11b · No frost · 0 chill hours · 50 in rainZone 11b · No frost · 0 chill hours · 1,275 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: citrus, avocado, fig

    92%match
  4. 4

    🇹🇭Phon CharoenNong Khai, Thailand

    Zone 11b · No frost · 0 chill hours · 80 in rainZone 11b · No frost · 0 chill hours · 2,039 mm rain

    Shares 13 of your 17 great-fit crops · Also great there: citrus, avocado

    92%match
  5. 5

    🇧🇩DhakaDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 86 in rainZone 11a · No frost · 0 chill hours · 2,181 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: citrus, avocado, canola (rapeseed)

    91%match
  6. 6

    🇹🇭SekaBueng Kan, Thailand

    Zone 11b · No frost · 0 chill hours · 82 in rainZone 11b · No frost · 0 chill hours · 2,092 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: citrus, avocado

    91%match
  7. 7

    🇧🇩MadaripurDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 83 in rainZone 11a · No frost · 0 chill hours · 2,120 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: citrus, avocado, canola (rapeseed)

    90%match
  8. 8

    🇧🇩BāndarbanChittagong, Bangladesh

    Zone 11b · No frost · 0 chill hours · 125 in rainZone 11b · No frost · 0 chill hours · 3,164 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: canola (rapeseed)

    90%match
  9. 9

    🇧🇩FarīdpurDhaka Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 78 in rainZone 11a · No frost · 0 chill hours · 1,988 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: citrus, canola (rapeseed), avocado

    90%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 15 of your 17 great-fit crops · Also great there: citrus, canola (rapeseed), avocado

    90%match
  11. 11

    🇧🇩ComillaChittagong, Bangladesh

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

    Shares 17 of your 17 great-fit crops · Also great there: citrus, avocado, canola (rapeseed)

    89%match
  12. 12

    🇧🇩ChattogramChittagong, Bangladesh

    Zone 11b · No frost · 0 chill hours · 110 in rainZone 11b · No frost · 0 chill hours · 2,785 mm rain

    Shares 14 of your 17 great-fit crops

    89%match
  13. 13

    🇧🇩Uttar Char FassonKhulna Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 113 in rainZone 11a · No frost · 0 chill hours · 2,858 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: canola (rapeseed), barley

    89%match
  14. 14

    🇧🇩MaijdiChittagong, Bangladesh

    Zone 11b · No frost · 0 chill hours · 114 in rainZone 11b · No frost · 0 chill hours · 2,884 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: canola (rapeseed)

    89%match
  15. 15

    🇲🇲TatkonSagaing Region, Myanmar

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

    Shares 14 of your 17 great-fit crops · Also great there: citrus, avocado, barley

    89%match
  16. 16

    🇧🇩SylhetSylhet Division, Bangladesh

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

    Shares 11 of your 17 great-fit crops · Also great there: canola (rapeseed), barley, potato

    89%match
  17. 17

    🇧🇩BarishalBarisal Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 89 in rainZone 11a · No frost · 0 chill hours · 2,269 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: citrus, avocado, canola (rapeseed)

    89%match
  18. 18

    🇧🇩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 17 great-fit crops · Also great there: canola (rapeseed), barley, potato

    88%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 14 of your 17 great-fit crops · Also great there: canola (rapeseed), citrus, barley

    88%match
  20. 20

    🇧🇩JessoreKhulna Division, Bangladesh

    Zone 11a · No frost · 0 chill hours · 70 in rainZone 11a · No frost · 0 chill hours · 1,771 mm rain

    Shares 14 of your 17 great-fit crops · Also great there: citrus, barley, canola (rapeseed)

    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 Vang Vieng: 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.