Real-Time Foot Traffic Data | Aggregated Foot Traffic Data | Location & Mobility Data | Global | 600+ Customers
# | datestamp |
footfall_value |
|||||||
---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx |
2 | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx |
3 | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx |
4 | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
5 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
6 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
7 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
9 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx |
10 | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
... | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
datestamp
|
DateTime | 2022-04-01T00:00:00+00:00 | |
String | cdrc-retail-centre-gb/RC_EW_2240 | Location ID | |
String | Chelmsford | Location Name | |
String | Town Centre | Land Type | |
String | East of England | State Name | |
String | 8c194e0d321bdff | Placekey | |
Float | 51.73100560752592 | Latitude | |
Float | 0.47348685058086143 | Longitude | |
footfall_value
|
Float | 3.026533618109024 |
Attribute | Type | Example | Mapping |
---|---|---|---|
datestamp
|
Date | 2022-04-01 | |
String | cdrc-retail-centre-gb/RC_EW_2240 | Location ID | |
String | Chelmsford | Location Name | |
String | Town Centre | Land Type | |
String | East of England | State Name | |
String | 8c194e0d321bdff | Placekey | |
Float | 51.73100561 | Latitude | |
Float | 0.4734868506 | Longitude | |
footfall_value
|
Float | 3.026533618 |
Description
Country Coverage
History
Volume
2,740 | CDRC Retail Centres (UK) |
1.13 million | H3 Hexbins @ Level 12 (19m) |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Real-Time Foot Traffic Data Aggregated Foot Traffic Data Location & Mobility Data Global 600+ Customers?
Huq Industries proudly offers a cutting-edge Daily Footfall Data feed, meticulously designed to meet the diverse needs of government bodies, real estate professionals, investors, and retailers.
What is Real-Time Foot Traffic Data Aggregated Foot Traffic Data Location & Mobility Data Global 600+ Customers used for?
This product has 5 key use cases. Huq Industries recommends using the data for Asset Management, Consumer Trend Analysis, Foot Traffic Analytics, Local Economic Forecasting, and Urban Planning. Global businesses and organizations buy Location Data from Huq Industries to fuel their analytics and enrichment.
Who can use Real-Time Foot Traffic Data Aggregated Foot Traffic Data Location & Mobility Data Global 600+ Customers?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Location Data. Get in touch with Huq Industries to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Real-Time Foot Traffic Data Aggregated Foot Traffic Data Location & Mobility Data Global 600+ Customers go?
This product has 5 years of historical coverage. It can be delivered on a daily basis.
Which countries does Real-Time Foot Traffic Data Aggregated Foot Traffic Data Location & Mobility Data Global 600+ Customers cover?
This product includes data covering 183 countries like USA, China, Japan, Germany, and India. Huq Industries is headquartered in United Kingdom.
How much does Real-Time Foot Traffic Data Aggregated Foot Traffic Data Location & Mobility Data Global 600+ Customers cost?
Pricing information for Real-Time Foot Traffic Data Aggregated Foot Traffic Data Location & Mobility Data Global 600+ Customers is available by getting in contact with Huq Industries. Connect with Huq Industries to get a quote and arrange custom pricing models based on your data requirements.
How can I get Real-Time Foot Traffic Data Aggregated Foot Traffic Data Location & Mobility Data Global 600+ Customers?
Businesses can buy Location Data from Huq Industries and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Huq Industries can deliver this product in .json and .csv format.
What is the data quality of Real-Time Foot Traffic Data Aggregated Foot Traffic Data Location & Mobility Data Global 600+ Customers?
Huq Industries has reported that this product has the following quality and accuracy assurances: 85% 0.85 corr. with Walmart sales data, 83% 0.83 corr. with Boot Barn sales data, 81% 0.81 corr. with Petco sales data. You can compare and assess the data quality of Huq Industries using Datarade’s data marketplace. Huq Industries has received 3 reviews from clients. Huq Industries appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? June Edition.
What are similar products to Real-Time Foot Traffic Data Aggregated Foot Traffic Data Location & Mobility Data Global 600+ Customers?
This product has 3 related products. These alternatives include Real-Time Foot-Traffic Data Location Data Mobility Data Mobile Location Data Global Coverage 600+ Customers, Unacast Foot Traffic Data Global, and Xverum ~48M POIs in Europe Geospatial Data from European Countries GDPR Geo-JSON Format Foot Traffic Data from EU Real-time Location Data. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.