HSDS Datastore – Partnership Data
HSDS Datastore – Partnership Data
Interactive tools
A dashboard to explore and compare multiple high streets and examine reports on recent and typical footfall, spend, and Business Offerings at high street, town centre, and BID levels.
A mapping tool that brings together data spatially, displaying footfall, spend, travel time, business locations, cultural infrastructure, and public land ownership.
Private datasets
Spend
Anonymised and aggregated data from Mastercard. Can be used to gain insights on consumer spending patterns, including spending amounts, transaction counts, and retail categories. Spend is reported as an index value, not £ amount.
Useful for analysing consumer behaviour, economic trends, and informing business strategies and policy decisions.
Weekly/Weekend Retail Insights
- What’s inside:
- Weekly spend amount index (credit/debit) transaction count index and adjusted spend amount index.
- Separated by retail category (apparel, eating places, and total retail).
- Aggregated to weekday vs weekend split.
- Time Period available: January 2019 – Present
- Update frequency: Monthly, 2-3 weeks after end of the reporting period
- Geographical level: High streets, town centres, business improvement districts, boroughs, MSOAs, the central activity zone (CAZ), inner London, outer London, London, or bespoke areas.
3-Hourly Spend Insights
- What’s inside:
- Daily spend amount index (credit/debit) over 3-hour time blocks (6-9am, 9-12pm, 12-3pm…)
- No retail sub classification
- Not inflation adjusted
- Time period available: March 2022 – Present
- Update frequency: Monthly, 2-3 weeks after end of the reporting period
- Geographical level: 100m grids, high streets, town centres, business improvement districts, or bespoke areas.
Mobility
Anonymised and aggregated data from BT. Can be used for understanding pedestrian density, guiding urban development and retail planning decisions.
Captures footfall traffic trends, including footfall counts, visitor demographics and behaviours like return visits and dwell time.
3-Hourly Footfall Counts
- What’s inside:
- Daily footfall metrics, over 3-hour time bocks
- Footfall counts by audience (resident, worker, and visitor)
- Dwell time
- Time Period available: May 2022- Present
- Update frequency: Weekly
- Geographical level: 350m hexagon grids, high streets, town centres, business improvement districts, or bespoke areas.
Hourly Footfall Counts (MSOA-level)
- What’s inside:
- Daily footfall metrics, over 1-hour time blocks
- Footfall counts by audience (resident, worker, and visitor)
- Return visits
- Dwell time
- Time period available: May 2022 – Present
- Update frequency:Weekly
- Geographical level: MSOA only
‘Catchment’ Visitor Origins
- What’s inside:
- List of origins of typical visitors to a point of interest by LSOA
- Footfall counts of visitors by LSOA
- Aggregated to weekday vs weekend, daytime vs night time
- Time period available: May 2022 – November 2023
- Update frequency:Periodically, as needed
- Geographical level: High streets, town centres, and business improvement districts.
Business Premises
Premises-level data from Experian. Can be used to understand business offerings and vacancy rates in an area.
Includes Goad and ShopPoint retail location, built from over 20 sources of business and location data, including Companies House records.
Experian Business Premises Data
- What’s inside:
- Individual retail locations
- Retail sector
- Floorspace
- Vacancy data
- Time period available: August 2022 – Present
- Update frequency: Quarterly
- Geographical level: Point-based data across London
- Note: Experian data has mixed coverage over Greater London. It is more likely to be an accurate source for larger high streets and town centres. For more detail, see: Foundational Economy Analysis by PRD (available to HSDS members only)
Sample not available