Business & Commercial

CBD, regional centres, and industrial zones

How to Use the Business Map

Key Takeaways

  • Map data is refreshed from URA, HDB and OneMap APIs — hover any marker for live values.
  • Use the filter panel to narrow results by district, bedroom type, price range, or tenure.
  • Click any marker or polygon to drill down into the underlying property or area detail.

What It Does

The Business Map visualises ACRA-registered businesses across Singapore with clustered markers, a heatmap mode, and a district-level choropleth showing business density. Data is sourced from ACRA (Accounting and Corporate Regulatory Authority) business registration records, covering all active registered entities with a Singapore address. The map supports 11 industry sector filters — including F&B, Retail, Financial Services, Technology, Healthcare, Education, Construction, Logistics, Professional Services, Manufacturing, and Other. In markers mode, businesses are clustered by proximity and colour-coded by sector; clicking a cluster expands it to individual markers. In heatmap mode, the kernel-density layer shows concentration intensity without individual markers. The choropleth mode colours each district by total business count or density per square kilometre.

You can find this map on ShiokNest under the Maps tab in the Commercial section. Use the sidebar filter panel to select one or more industry sectors, toggle between markers / heatmap / choropleth display modes, and filter by business status (active / closed / all). The map pairs naturally with the Industry Trends page for time-series data on how business registration in each sector has evolved from 1970 to the present.

Why It Matters

Residential property value is partly a function of the commercial ecosystem surrounding it. A neighbourhood with a high density of stable F&B, retail, and professional services businesses has stronger foot traffic, better amenity provision, and more employment within walking or cycling distance — all factors that support rental demand and occupancy rates. The Business Map lets you verify this commercial ecosystem before committing to a purchase or investment, rather than relying on an agent's description of a neighbourhood as "vibrant" or "up-and-coming."

The most actionable use of this map is the sector-filter heatmap. Filter for F&B businesses only and switch to heatmap mode: the resulting concentration map shows you exactly where Singapore's restaurant and cafe density peaks — not just the known hotspots like Orchard and Clarke Quay, but also the secondary nodes in D15 (Katong), D12 (Toa Payoh Central), and D20 (Bishan North) that sustain strong rental demand from younger professionals and families. A 2-bedroom investor unit located within a genuine F&B and retail cluster commands a broader tenant audience than an equivalent unit in a residential-only neighbourhood with minimal walkable retail.

For buyers evaluating commercial property or office space, the Technology and Financial Services sector filters reveal the concentration of fintech, tech, and professional-services firms by district. D3 (Alexandra / one-north), D14 (Paya Lebar), and D9/D10 (Orchard fringe) show the highest concentrations. Cross-referencing these clusters with the commercial rental index (available on the Commercial analytics page) lets investors assess whether a target commercial property is in a sector-demand-aligned location or in a district with softer commercial occupancy.

The choropleth mode is valuable for a district-level overview before drilling down to markers. Switching to "density per km²" normalises the business count for district area — so large-area planning zones like D17 (Loyang/Changi) do not appear dominant purely by total business count when the per-km² density is actually low. This normalised view more accurately reflects the commercial vibrancy that residents experience at street level. Use this alongside the Commute Time Map and Heatmap Layers for a complete neighbourhood quality assessment.

How It Works

  • Pan and zoom to the area of Singapore you are interested in.
  • Use the filter panel to narrow results by district, bedroom type, or price range.
  • Hover any marker or polygon for a tooltip with exact values.
  • Click a marker to open the underlying property or area detail page.

Examples

D15 F&B cluster: validating the "Katong is vibrant" claim

Inputs
Sector filter
F&B only
Display mode
Heatmap
Status filter
Active businesses only
Geographic zoom
D15 — East Coast / Katong area
Results
F&B density vs Singapore median
2.4× above district median
Hotspot streets
East Coast Road, Joo Chiat Road, Siglap
Comparison
D15 F&B density close to D9 (Orchard fringe) level
Implication
Strong tenant demand driver — F&B foot traffic supports residential occupancy

How to read this: The heatmap confirms D15's F&B concentration is genuinely comparable to D9 at the street level — not just aspirational marketing. For an investor evaluating a 2-bedroom condo in D15, this data supports a thesis that the F&B and lifestyle ecosystem sustains tenant demand from professionals who prioritise walkable dining options. The map also reveals that the F&B cluster is concentrated along East Coast Road and Joo Chiat — meaning a condo within 400m of these streets benefits more than one 1km away in the same district. This spatial granularity is impossible to see from district-level statistics.

Technology sector filter: mapping Singapore's tech cluster vs residential pricing

Inputs
Sector filter
Technology businesses only
Display mode
Choropleth (density per km²)
Status filter
Active only
Results
Highest tech density
D3 (one-north / Biopolis / Mapletree), D9, D14 (Paya Lebar)
Emerging cluster
D18 (Tampines Regional Centre)
Low density residential
D27 (Sembawang) — very low tech business density
Implication
Proximity to tech employer clusters supports expat/professional rental demand

How to read this: The technology density choropleth confirms that D3 (one-north) is the strongest tech employer cluster in Singapore — with significant density also in D9 and the emerging Paya Lebar QB hub. Residential properties in D3 (Queenstown, Alexandra) and D14 (Geylang fringe / Paya Lebar) are within direct commute range of these clusters, supporting sustained rental demand from tech workers. Investors evaluating D3 condos can use this data to validate the "tech worker tenant pool" thesis with ACRA registration data rather than relying on anecdote.

Tips & Pitfalls

Expert Tips

  • Zoom out first to spot macro patterns before diving into individual districts.
  • Compare this map against the rental yield map to find high-demand, low-price outliers.
  • Use the legend to understand colour encoding — the same colour can mean different things on different maps.

Common Pitfalls

  • Judging a district by headline colour alone — the underlying sample size varies wildly across Singapore.
  • Confusing median with mean when both are shown — means are skewed by luxury outliers.
  • Forgetting that new-launch prices are discounted — resale prices are a better benchmark for fair value.

Frequently Asked Questions

Where does the map data come from?
Data is sourced from URA (Urban Redevelopment Authority), HDB, OneMap, and official Singapore government APIs, refreshed monthly.
How often is the map updated?
Transaction-based maps refresh monthly as URA and HDB publish new data. Planning layers (Master Plan, GLS) update as gazetted.
Can I filter by district or bedroom type?
Yes — use the filter panel on the map. Filter state is preserved in the URL so you can share a deep link to a specific view.