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Supalai Tyme Charoen NakhonUnder construction
SupalaiCondominium🚉 BTS Gold Line (Charoen Nakhon) / BTS Krung Thon Buri

Supalai Tyme Charoen Nakhon

ศุภาลัย ธาม เจริญนคร

Charoen Nakhon Road, Khlong San, Bangkok · Riverside

  • Riverside location on Charoen Nakhon Road with Chao Phraya River views
  • About 2.2km to BTS Gold Line (Charoen Nakhon) and the Krung Thon Buri interchange
  • 2.9km to ICONSIAM; 1.3km to Samitivej Thonburi Hospital
  • 28-storey tower, 461 units (459 residential + 2 retail), 1-3 bedrooms
  • Facilities include a sky lounge, co-working space, and sauna

Unit types

1BR1BR+2BR2BR+2BR Duplex3BR3BR Duplex

Facilities

Swimming PoolSky loungeFitnessCo-working spaceRoof GardenSaunaKid’s PoolMulti-purpose Room

Construction progress

18%

Expected completion 2027

AI Investment Insights

61

/100

Investment score

Location6/10
Value7/10
Developer7/10
Transit5/10
Est. gross rental yield: 45.2% per yearGrowth outlook: ModerateSuits: Rental investor · Own-stay buyer

Supalai Tyme Charoen Nakhon offers relatively affordable entry into Bangkok's high-growth riverside corridor, backed by a reliable developer, though its distance from the BTS Gold Line station and early construction stage add some risk. It suits investors seeking long-term rental income or an own-stay riverside lifestyle rather than quick flips.

Strengths

  • Riverside address with Chao Phraya views, benefiting from the broader ICONSIAM/riverside redevelopment wave
  • Price per sqm (~76,000 THB) is relatively affordable versus premium riverside condo benchmarks
  • Supalai has a large, reliable delivery track record across Bangkok
  • Full facility set (pool, sky lounge, co-working, sauna) typical of a well-rounded mid-market project

Watch out for

  • Station is about 2.2km from BTS Gold Line (Charoen Nakhon), so it's not truly walk-to-transit despite the line being nearby
  • Early construction stage (18% progress, completion 2027) carries multi-year delivery risk
  • Unit mix includes large duplex units up to 163.5 sqm, which typically drag down average rental yield

AI analysis · claude-sonnet-5 · 2026-07-09 · AI-generated analysis based on public data. Not investment advice — verify with the developer before deciding.