Footfall Analysis | DACH, Netherlands, Italy Mobile Mobility Data | Visit Data | Aggregated Foot Traffic Data | Weekly Resolution | 3 Years History
# | location_name |
time_interval_type |
time_interval_code |
footfall |
footfall_per_sqm |
polygon_wkt |
centroid_point |
---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx |
2 | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
3 | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
4 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
5 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx |
6 | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
7 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx |
8 | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
9 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
10 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
... | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
location_name
|
String | ABC-Strasse | |
time_interval_type
|
String | whole_period | |
time_interval_code
|
|||
footfall
|
Float | 6710506.039 | |
footfall_per_sqm
|
Float | 6340.937063 | |
polygon_wkt
|
String | MULTIPOLYGON(((11.46724287 53.89389091, 11.46721555 53.89... | |
centroid_point
|
String | POINT(11.467239899089 53.8940146266286) |
Attribute | Type | Example | Mapping |
---|---|---|---|
location_name
|
String | Schildergasse Cologne | |
time_interval_type
|
String | year_month | |
time_interval_code
|
String | 2024_01 | |
footfall
|
Integer | 34729487 | |
footfall_per_sqm
|
Integer | 2374 | |
polygon_WKT
|
String | POLYGON((6.949292767094449 50.936506447628375,6.949296942... |
Description
Country Coverage
History
Volume
30 million | Building shapes |
1,000 | high streets |
10,000 | shopping center |
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 Footfall Analysis DACH, Netherlands, Italy Mobile Mobility Data Visit Data Aggregated Foot Traffic Data Weekly Resolution 3 Years History?
PlaceSense offers high-quality mobility and visit data with 3 years of history and weekly resolution. Covering Germany, Netherlands, Austria, Switzerland, and Italy, our GDPR-compliant dataset spans retail, real estate, out-of-home advertising and urban planning.
What is Footfall Analysis DACH, Netherlands, Italy Mobile Mobility Data Visit Data Aggregated Foot Traffic Data Weekly Resolution 3 Years History used for?
This product has 5 key use cases. PlaceSense recommends using the data for Location Analytics, Digital Out-of-home (DOOH) Advertising, Urban Mobility Analysis, Foot Traffic Analytics, and Retail Analytics. Global businesses and organizations buy Foot Traffic Data from PlaceSense to fuel their analytics and enrichment.
Who can use Footfall Analysis DACH, Netherlands, Italy Mobile Mobility Data Visit Data Aggregated Foot Traffic Data Weekly Resolution 3 Years History?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Foot Traffic Data. Get in touch with PlaceSense to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Footfall Analysis DACH, Netherlands, Italy Mobile Mobility Data Visit Data Aggregated Foot Traffic Data Weekly Resolution 3 Years History go?
This product has 3 years of historical coverage. It can be delivered on a weekly, monthly, quarterly, yearly, and on-demand basis.
Which countries does Footfall Analysis DACH, Netherlands, Italy Mobile Mobility Data Visit Data Aggregated Foot Traffic Data Weekly Resolution 3 Years History cover?
This product includes data covering 5 countries like Germany, Italy, Netherlands, Switzerland, and Austria. PlaceSense is headquartered in Israel.
How much does Footfall Analysis DACH, Netherlands, Italy Mobile Mobility Data Visit Data Aggregated Foot Traffic Data Weekly Resolution 3 Years History cost?
Pricing information for Footfall Analysis DACH, Netherlands, Italy Mobile Mobility Data Visit Data Aggregated Foot Traffic Data Weekly Resolution 3 Years History is available by getting in contact with PlaceSense. Connect with PlaceSense to get a quote and arrange custom pricing models based on your data requirements.
How can I get Footfall Analysis DACH, Netherlands, Italy Mobile Mobility Data Visit Data Aggregated Foot Traffic Data Weekly Resolution 3 Years History?
Businesses can buy Foot Traffic Data from PlaceSense and get the data via S3 Bucket and Email. Depending on your data requirements and subscription budget, PlaceSense can deliver this product in .csv and .xls format.
What is the data quality of Footfall Analysis DACH, Netherlands, Italy Mobile Mobility Data Visit Data Aggregated Foot Traffic Data Weekly Resolution 3 Years History?
PlaceSense has reported that this product has the following quality and accuracy assurances: 90% Footfall accuracy. You can compare and assess the data quality of PlaceSense using Datarade’s data marketplace.
What are similar products to Footfall Analysis DACH, Netherlands, Italy Mobile Mobility Data Visit Data Aggregated Foot Traffic Data Weekly Resolution 3 Years History?
This product has 3 related products. These alternatives include Aggregated Foot Traffic Data Mobility Data Foot Traffic Data 3 Years History DACH, Netherlands, Italy Footfall Data Weekly Resolution, PREDIK Data-Driven I UK Aggregated Foot Traffic Data & Mobility Data I Measure Foot Traffic patterns within the United Kingdom, and Footfall Data Foot traffic Data Mobile Location Data Visit Data for Finance, Retail & Real estate Global 600+ Customers GDPR compliant. You can compare the best Foot Traffic Data providers and products via Datarade’s data marketplace and get the right data for your use case.