PREDIK Data-Driven I Geographic Data I USA I Address Data I +50 million US addresses I Retail & Industrial Locations
# | address |
address_city |
address_state |
address_zip |
latitude |
longitude |
device_density_sqft |
address_devices |
pois_in_facility |
attributed_devices |
devices_with_significant_dwell |
possible_workers |
unique_devices_0h |
unique_devices_1h |
unique_devices_sunday |
unique_devices_monday |
visitor_percentile_10_income |
visitor_percentile_50_income |
avg_visitor_stay_time_in_seconds |
sum_of_poi_confidence |
predicted_retail |
avg_sqft_per_poi |
number_of_surrounding_parking_lots |
sum_of_surrounding_parking_lots_area_sqft |
truck_devices |
top_10_categories_visited_elsewhere_by_devices_here |
reviews_ratings |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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2 | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
3 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx |
4 | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx |
5 | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx |
6 | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
7 | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx |
8 | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx |
9 | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx |
10 | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
... | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
address
|
String | 1611 N MERIDIAN ST | |
address_city
|
String | INDIANAPOLIS | |
address_state
|
String | IN | |
address_zip
|
Integer | 46202 | |
latitude
|
Float | 39.789036 | |
longitude
|
Float | -86.15693 | |
device_density_sqft
|
Float | 4.67419282 | |
address_devices
|
Integer | 20702 | |
pois_in_facility
|
Integer | 2 | |
attributed_devices
|
Integer | 10351 | |
devices_with_significant_dwell
|
Integer | 6332 | |
possible_workers
|
Integer | 5 | |
unique_devices_0h
|
Integer | 764 | |
unique_devices_1h
|
Integer | 1114 | |
unique_devices_sunday
|
Integer | 3567 | |
unique_devices_monday
|
Integer | 3570 | |
visitor_percentile_10_income
|
Float | 24893.12117 | |
visitor_percentile_50_income
|
Float | 43614.30481 | |
avg_visitor_stay_time_in_seconds
|
Float | 1294.49036 | |
sum_of_poi_confidence
|
Float | 1.995295405 | |
predicted_retail
|
Integer | 1 | |
avg_sqft_per_poi
|
Float | 2214.5 | |
number_of_surrounding_parking_lots
|
Integer | 1 | |
sum_of_surrounding_parking_lots_area_sqft
|
Float | 25392.15816 | |
truck_devices
|
Integer | 137 | |
top_10_categories_visited_elsewhere_by_devices_here
|
String | [landmark_and_historical_building, fast_food_restaurant, ... | |
reviews_ratings
|
Integer | 4654 |
Description
Country Coverage
History
Volume
50 million | addresses |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Not available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is PREDIK Data-Driven I Geographic Data I USA I Address Data I +50 million US addresses I Retail & Industrial Locations?
Our US commercial & industrial enriched address dataset brings you valuable insights into more than 50 million commercial and industrial addresses across the USA. Ideal to fuel machine learning models based on geographic attributes.
What is PREDIK Data-Driven I Geographic Data I USA I Address Data I +50 million US addresses I Retail & Industrial Locations used for?
This product has 4 key use cases. Predik Data-driven recommends using the data for Account-Based Marketing (ABM), Prospecting, Company Data Enrichment, and POI Enrichment. Global businesses and organizations buy Location Data from Predik Data-driven to fuel their analytics and enrichment.
Who can use PREDIK Data-Driven I Geographic Data I USA I Address Data I +50 million US addresses I Retail & Industrial Locations?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Location Data. Get in touch with Predik Data-driven to see what their data can do for your business and find out which integrations they provide.
How far back does the data in PREDIK Data-Driven I Geographic Data I USA I Address Data I +50 million US addresses I Retail & Industrial Locations go?
This product has 5 years of historical coverage. It can be delivered on a yearly and on-demand basis.
Which countries does PREDIK Data-Driven I Geographic Data I USA I Address Data I +50 million US addresses I Retail & Industrial Locations cover?
This product includes data covering 1 country like USA. Predik Data-driven is headquartered in United States of America.
How much does PREDIK Data-Driven I Geographic Data I USA I Address Data I +50 million US addresses I Retail & Industrial Locations cost?
Pricing information for PREDIK Data-Driven I Geographic Data I USA I Address Data I +50 million US addresses I Retail & Industrial Locations is available by getting in contact with Predik Data-driven. Connect with Predik Data-driven to get a quote and arrange custom pricing models based on your data requirements.
How can I get PREDIK Data-Driven I Geographic Data I USA I Address Data I +50 million US addresses I Retail & Industrial Locations?
Businesses can buy Location Data from Predik Data-driven and get the data via S3 Bucket, Email, UI Export, REST API, and Feed API. Depending on your data requirements and subscription budget, Predik Data-driven can deliver this product in .json, .xml, .csv, .xls, and .txt format.
What is the data quality of PREDIK Data-Driven I Geographic Data I USA I Address Data I +50 million US addresses I Retail & Industrial Locations?
You can compare and assess the data quality of Predik Data-driven using Datarade’s data marketplace. Predik Data-driven has received 3 reviews from clients. Predik Data-driven appears on selected Datarade top lists ranking the best data providers, including Best +8 Airport APIs for Travel Data.
What are similar products to PREDIK Data-Driven I Geographic Data I USA I Address Data I +50 million US addresses I Retail & Industrial Locations?
This product has 3 related products. These alternatives include PREDIK Data-Driven I Enriched Address Data for Warehouses, Distribution Centers, Fulmillment Centers and Logistics Centers Locations I US, Echo Analytics POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy, and Redmob: IP Addresses Data I Global I 1.5B Users & Real-Time. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.