Unacast Aggregated Foot Traffic Data for U.S. Locations
| # | observation_start_date |
observation_end_date |
person_count |
person_count_p50 |
day_of_week_id |
day_of_week |
hour_id |
hour |
people_fraction_venue |
people_fraction_area |
visit_length_p50 |
visit_length_p25 |
visit_length_p75 |
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 2 | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
| 3 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
| 4 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 5 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
| 6 | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
| 7 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 8 | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx |
| 9 | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
| 10 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
| ... | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| String | string | Location ID | |
|
observation_start_date
|
String | string (yyyy-mm-dd) | |
|
observation_end_date
|
String | string (yyyy-mm-dd) | |
|
person_count
|
Integer | int | |
|
person_count_p50
|
Integer | int | |
|
day_of_week_id
|
String | string | |
|
day_of_week
|
String | string | |
|
hour_id
|
String | string | |
|
hour
|
String | string | |
|
people_fraction_venue
|
Float | float | |
|
people_fraction_area
|
Float | float | |
|
visit_length_p50
|
Integer | int | |
|
visit_length_p25
|
Integer | int | |
|
visit_length_p75
|
Integer | int |
Description
Country Coverage
History
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Not available |
| Monthly License | Not available |
| Yearly License | Available |
| Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is Unacast Aggregated Foot Traffic Data for U.S. Locations?
Unacast Aggregated Foot Traffic Data helps you understand activity and visits to specific sites or areas across the U.S. Get up to 5 years of historical data powered by privacy-friendly machine learning.
What is Unacast Aggregated Foot Traffic Data for U.S. Locations used for?
This product has 5 key use cases. Gravy Analytics by Unacast recommends using the data for Advertising, Business Intelligence (BI), Benchmarking, Retail Site Selection, and Market Analysis. Global businesses and organizations buy Location Data from Gravy Analytics by Unacast to fuel their analytics and enrichment.
Who can use Unacast Aggregated Foot Traffic Data for U.S. Locations?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Location Data. Get in touch with Gravy Analytics by Unacast to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Unacast Aggregated Foot Traffic Data for U.S. Locations go?
This product has 5 years of historical coverage. It can be delivered on a weekly and monthly basis.
Which countries does Unacast Aggregated Foot Traffic Data for U.S. Locations cover?
This product includes data covering 1 country like USA. Gravy Analytics by Unacast is headquartered in United States of America.
How much does Unacast Aggregated Foot Traffic Data for U.S. Locations cost?
Pricing information for Unacast Aggregated Foot Traffic Data for U.S. Locations is available by getting in contact with Gravy Analytics by Unacast. Connect with Gravy Analytics by Unacast to get a quote and arrange custom pricing models based on your data requirements.
How can I get Unacast Aggregated Foot Traffic Data for U.S. Locations?
Businesses can buy Location Data from Gravy Analytics by Unacast and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Gravy Analytics by Unacast can deliver this product in .csv format.
What is the data quality of Unacast Aggregated Foot Traffic Data for U.S. Locations?
Gravy Analytics by Unacast has reported that this product has the following quality and accuracy assurances: 93% R-squared correlation to truth. You can compare and assess the data quality of Gravy Analytics by Unacast using Datarade’s data marketplace. Gravy Analytics by Unacast has received 1 review from clients. Gravy Analytics by Unacast appears on selected Datarade top lists ranking the best data providers, including Top 10 Travel Intent Data Providers and Platforms and Best Data Providers For Location-Based Marketing.
What are similar products to Unacast Aggregated Foot Traffic Data for U.S. Locations?
This product has 3 related products. These alternatives include Unacast Foot Traffic Data for U.S. Locations, PREDIK Data-Driven I UK Aggregated Foot Traffic Data & Mobility Data I Measure Foot Traffic patterns within the United Kingdom, and Intuizi’s Mobile Location Data for Brazil 6.6+mm Unique Daily Devices GDPR Compliant Aggregated Footfall 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.
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