Retail and Leisure Location Data
Our market-leading data is used by the UK’s biggest names across retail, leisure, property, investment and media. We have been collecting retail and leisure location data for 10 years and our reputation for accurate and granular data has grown exponentially over this time.
The only source of real-time location data
We are the only business that employs a team of field researchers to regularly audit the occupancy and vacancy of every unit across GB. Every day, data from our field researchers is sent back to the office via our proprietary tech infrastructure for validation and is uploaded into our database. This means that our data provides as close to a real-time view of the market as possible.
Download a data sampleWays our data can be accessed:
- Excel file
- CSV
- Via the API
- Within bespoke reporting and analysis
- Via secure FTP
Quality control cycle
We operate both a field team and an office-based research team which verify over 80k new records a month. Our diligent quality control process ensures all data meets our high standards for accuracy.
01.
200 Field Researchers
Our field team has grown extensively and we now have a large team of highly skilled researchers spread across the country.
02.
Extensive Coverage Across GB
Every high street, shopping centre and retail park is visited on a 6 or 12 month cycle
03.
70 Data Points for Every Premises
Including:
- Brand name
- Address
- Geocode
- Opening hours
04.
Daily data uploads
Field data is uploaded to LDC’s secure server every day, ready for quality control.
05.
Rigorous quality control
All data is checked by our quality control team through a range of rigorous processes including manual data reviews, spot-checking, and using technology to check for data anomalies.
06.
Real-time data
Over 80k updates are made each month to our database of 680k retail and leisure premises. We have been adding to this database for 10 years and now hold 1.6 million unique data records.
Data Dictionary
- The following data is available for over 680k units across Great Britain (Excludes NI)
- We hold data on 1.6 million live and historical occupiers
- Exports can be updated at any frequency; monthly, quarterly, or yearly
- Data covers over 3,000 town centres, retail parks, shopping centres, airports, transport hubs, local shopping parades and standalone units
- Data is organised into 489 retail and leisure store subcategories
- Data contains accurate geocode and address details to enable embedding into GIS tools
| Field name | Description | Type | Example |
|---|---|---|---|
b_ID
|
Unique business identifier | integer | 13565946 |
b_NameFull
|
Business name | string | Dee Fine Arts |
ad_Building_Unit
|
Address: unit number | string | 4a |
ad_Building_floor
|
Address: floor | string | Basement |
ad_Building
|
Address: building name | string | Holland Park Underground Station |
ad_shop_centre
|
Name of shopping centre (only if business is located within a shopping centre) | string | Southernwood Retail Park |
ad_StreetNumber
|
Address: full street number | string | 180-182 |
ad_Street
|
Address: street name | string | Gray's Inn Road |
ad_Zip
|
Address: postcode | string | WN7 5DW |
area_name
|
Address: area name | string | Yate |
ad_county
|
Address: county name | string | Greater London |
cat_ID1
|
Unique identifier of category | integer | 93 |
cat_Name1
|
Category name | string | Coffee Shops |
cat_ID2
|
Unique identifier of subcategory | integer | 1263 |
cat_Name2
|
Subcategory name | string | Arts & Crafts |
b_multipleID
|
Unique multiple business identifier. | integer | 0 |
b_multipleName
|
Multiple business name | string | NatWest |
b_HoldingCompany
|
Name of holding company (applicable for multiple businesses only) | string | Handy Andy Carwash Limited |
PremiseId
|
Unique premise identifier | integer | 52660177 |
status_Date_Opened
|
Date current business was recorded as occupier of unit | date | 2016-08-30 00:00:00.000 |
status_Date_Closed
|
Date current business was recorded as having vacated the unit | date | 2011-11-10 00:00:00.000 |
geocode_latitude
|
Latitude geopoint generated by Codepoint | float | 54.95054 |
geocode_longitude
|
Longitude geopoint generated by Codepoint | float | -0.02618 |
ad_shop_centre_id
|
Unique identifier for shopping centre (only if business located within shopping centre) | integer | 12145738 |
bus_telephone
|
Telephone number | string | +44 (0) 141 424 1879 |
website_name
|
Website | string | http://www.efmedispa.com |
cat_SIC_ID
|
Unique identifier of SIC (Standard Industrial Classification) | integer | 95220 |
cat_SIC
|
Name of SIC | string | Credit granting by non-deposit taking finance houses and other specialist consumer credit grantors |
survey_date
|
Most recent research date (field or office) | date | 2019-05-02 15:44:50.000 |
region
|
Most recent research date (field or office) | date | 02/05/2019 15:44:50 |
PremiseCreateDate
|
Premise creation date | date | 2011-09-12 13:56:46.000 |
CareOfID
|
Unique identifier of the master business (only if record is a concession or ShopWithinShop) | integer | 12757661 |
CareOf
|
Name of the master business (only if record is a concession or ShopWithinShop) | string | Park's Dacia |
PremiseStatus
|
Current status of the premise | string | Live |
status_business
|
Current status of the business | string | Live |
opening_times
|
Opening times throughout the week | string/date | Monday 08:30 - 17:30, Tuesday 08:30 - 17:30 |
business_rate
|
Business rates charged on the property (£) | float | 0 |
floorspace
|
Floor space total area (square metres) | integer | 8181 |
isTemporarilyClosed
|
Flag to identify those temporarily closed due to COVID-19 | binary | 0/1 |
Image
|
Link to image of fascia | string | http://ldo.localdataimages.com/RAW_WM/2356/23563278.jpg |
ad_StreetLetter
|
Address street letter from | string | a |
ad_StreetLetter2
|
Address street letter to | string | a |
ad_StreetNo
|
Address street number from | integer | 1223 |
ad_StreetNo2
|
Address street number to | integer | 204 |
borough_county
|
Address borough/county based on postcode | string | Isle of Anglesey |
transport_name
|
Name of nearest public transport station | string | Wood Green |
transport_carrier
|
Name of nearest public transport carrier | string | National Railway |
export_description
|
Business description | string | Nicolls & Barnes Estate Agents sell properties in the Southport area. |
feature_names
|
Comma-separated list of all business features | string | Vegetarian dishes |
feature_price
|
Average menu price (applicable to restaurants only) | integer | 10.99 |
feature_cuisine
|
Cuisine type (e.g. Traditional British) (applicable to restaurants only) | string | Chinese |
feature_atm
|
ATM feature identifier | binary | 1 |
geocode_easting
|
Codepoint geocode easting | integer | 340489 |
geocode_northing
|
Codepoint geocode northing | integer | 180692 |
office_latitude
|
LDC derived geocode latitude | float | 51.48234 |
office_longitude
|
LDC derived geocode longitude | float | -0.19992 |
EastingOffice
|
LDC derived geocode easting | float | 285182.81 |
NorthingOffice
|
LDC derived geocode northing | integer | 177468 |
FrLastVerifiedDate
|
Last date record verified in the field | date | 2019-12-03 12:24:37.000 |
OrLastVerifiedDate
|
Last date record verified in the office | date | 2019-02-19 09:03:40.000 |
IsFieldResearched
|
The record currently falls into a field researched area | binary | 0/1 |
bureau_de_change
|
Bureau de Change service identifier | binary | 0/1 |
pawnbrokers
|
Pawnbroker service identifier | binary | 0/1 |
money_gram
|
Money Gram service identifier | binary | 0/1 |
money_transfer
|
Money Transfer feature identifier | binary | 0/1 |
payday_lender
|
Payday Lender feature identifier | binary | 0/1 |
ria
|
Ria service identifier | binary | 0/1 |
western_union
|
Western Union service identifier | binary | 0/1 |
other_msb
|
Other Money Service Bureau service identifier | binary | 0/1 |
- Data is taken from branded supermarkets and convenience chains
- Data is available on over 4,000 branded products
- Data is split into 171 subcategories across 14 product categories
- Weekly data collection and comparative basket checks are undertaken
- Data checks on promotional pricing and seasonal items is completed on request
- Historical data is available on product selections
| ref | Unique identifier for product | integer | 10122188 |
|---|---|---|---|
category
|
Product category | string | beers & spirits |
subcategory
|
Product subcategory | string | spirits |
section
|
Product section | string | H |
region
|
Scottish region | string | Scotland |
product_type
|
Own label or branded | string | B/OL/NULL |
brand
|
Product brand | string | Dove |
description
|
Product description | string | Bath foam luxurious |
variety
|
Product variations/ flavours | string | Lime & Patchouli |
size
|
Product size | string | 300ml |
multipack_qty
|
Product quantity | integer | 1 |
pack_size
|
Individual pack size if multipack | integer | 250 |
unit
|
Unit of product | string | ml |
current_base_price
|
Price of product | float | 1.59 |
status
|
Product is in stock or not | binary | live/dormant |
Key benefits
- Only source of real-time data on the market
- Flexible data delivery – only pay for what you need, delivered in the most appropriate format
- 680k units surveyed on a regular basis with good coverage across GB
- Proven accuracy due to our unique data collection process
- Data can be integrated into in-house business intelligence systems
Our clients say
The relationship with Local Data Company has grown considerably from the early days, we now use the full inclusion of all of Local Data Company’s data and reports into our strategic estate planning. Being able to instantly identify and review locations of interest, and quickly discount others, allows us to focus on the key locations that provide the best opportunities.
Darren Percival
Planning Manager
O2
We needed reliable reference data on all the shops trading in the UK. LDC gave us the names of the businesses operating in the country, including those that had gone bust during the historical time period that the Fable Data panel covers. LDC saved us time and also helped us to identify the names of new merchants that start to trade and grow their store estate.
Mark Howland
Chief Data Scientist
Fable Data
LDC data provides the most comprehensive insight into retail occupancy nationally. With the data we can better appreciate variations of retail vacancy and the profile and footprint of retail provision across all retail places, and how the landscape has changed over time.
Tom Whittington
Director, Retail & Leisure Research
Savills
We licensed the LDC data to understand trends in retail supply and vacancy for our city centre assets and the surrounding retail offer. The data was delivered promptly and lots of detail was provided. The data has been vital in helping us shape strategy. This is true at both a corporate level, through helping to further our understanding of UK retail, and at an asset level through identifying current strengths and areas for growth.
Jo Oxley
Insight Manager
Landsec
Boots is delighted to work with the Local Data Company utilising its industry-leading insight to ensure our store portfolio is optimally placed to meet the needs of our customers.
Graeme Cormack
Senior Location Planning Analyst
Boots
Get in touch
For more information on how our accurate and granular data can power your strategic objectives.