Location intelligence for better decisions

Know where people really are

Geodensity estimates how many people live or work within any chosen area, helping planners compare locations, identify concentrations of demand and prioritise investment.

Get product updates and an invitation to test the first version.

By joining, you agree to receive occasional emails about Geodensity. You can unsubscribe at any time. See the Privacy Notice.

See how it works
Illustrative people-density heatmap of the fictional city of WestbridgeA fictional demonstration city used to show how Geodensity presents people-density hotspots. The densest illustrative areas are Old Town, the Riverside Business Quarter and Central Station. A one-kilometre catchment is shown around Central Westbridge, between Old Town and the Riverside Business Quarter. All figures are fictional and do not represent real measured data.Illustrative data

Selected area

Central Westbridge

Radius
1 km radius
Estimated daytime population
18,400
Density score
Very high

Illustrative estimate

Density (people/km²)

  • 0–1,000Low
  • 1,001–3,000Moderate
  • 3,001–6,000High
  • 6,001–10,000Very high
  • 10,001+Exceptional

Broad averages hide local demand

Location decisions are frequently based on postcodes, wards, census zones or regional averages. These boundaries are useful for reporting, but they rarely match the area around a site, transport stop, mast or development opportunity. Two locations only a short distance apart can serve very different populations.

The wrong boundaries

Administrative areas do not reflect the catchment around a real location.

Fragmented evidence

Building, employment and population information is spread across different sources and formats.

Difficult comparisons

Analysts spend time assembling data before they can compare candidate locations consistently.

A clearer picture of people density

Geodensity converts building and population information into a consistent estimate for the area that matters to the decision. Instead of accepting a fixed statistical boundary, users will be able to assess a chosen point, radius or custom area.

Illustrative people-density heatmap of the fictional city of WestbridgeA fictional demonstration city used to show how Geodensity presents people-density hotspots. The densest illustrative areas are Old Town, the Riverside Business Quarter and Central Station. A one-kilometre catchment is shown around Central Westbridge, between Old Town and the Riverside Business Quarter. All figures are fictional and do not represent real measured data.Illustrative data — fictional city

Selected area

Central Westbridge

Radius
1 km radius
Estimated daytime population
18,400
Average density
8,950/km²
Density score
Very high

Illustrative estimate

Density (people/km²)

  • 0–1,000Low
  • 1,001–3,000Moderate
  • 3,001–6,000High
  • 6,001–10,000Very high
  • 10,001+Exceptional
Highest-density locations in this illustrative map
  1. Old Town12,800 people/km²
  2. Riverside Business Quarter10,900 people/km²
  3. Central Station8,700 people/km²
  4. Westbridge University7,900 people/km²
  5. St Anne's Hospital6,800 people/km²

From buildings to better location decisions

  1. 1

    Choose an area

    Search for a location and select a radius or boundary relevant to the decision.

  2. 2

    Estimate the population

    Geodensity combines building, land-use, employment and population evidence into a granular estimate.

  3. 3

    Compare locations

    Review density, catchment population and supporting assumptions across possible sites.

Geodensity will provide modelled estimates rather than counts of identifiable individuals. The product will use aggregated data and will not track personal movements.

Built for decisions where location matters

Network planning

Estimate the daytime population around potential infrastructure sites and prioritise areas of likely demand.

Transport and mobility

Compare the population served by stops, stations, routes and proposed transport investments.

Retail and property

Assess the people within realistic catchment areas around candidate stores, offices or developments.

Public-sector planning

Build a more granular view of population and employment patterns for local services and economic analysis.

Transparent estimates, not false precision

Geodensity is intended to make complex location evidence easier to use, while remaining clear about uncertainty. Estimates should show their source date, assumptions, confidence level and the geographical resolution of the underlying data. Users should be able to understand why a result was produced rather than receiving an unexplained number.

  • Aggregated, privacy-conscious data
  • Visible assumptions
  • Confidence ranges where appropriate
  • Comparable methods across locations

Help shape the first version of Geodensity

Join the waitlist to receive product updates and opportunities to test early location-density tools.

Get product updates and an invitation to test the first version.

By joining, you agree to receive occasional emails about Geodensity. You can unsubscribe at any time. See the Privacy Notice.