North America Foot Traffic, POI, and Building Polygon Data | GDPR Compliant | No PII | 40+ million POIs

#	dataplor_id	parent_location	name	location_name	main_category	sub_category	sub_sub_category	business_category	naics_code	sic_code	chain_id	chain_uuid	chain_name	parent_chain_path	chain_uuid_path	store_number	stock_ticker	phone	address	address2	h3_index	neighborhood	city	state	postal_code	country_code	country	latitude	longitude	dataplor_status	data_quality_confidence_score	open_closed_status	open_closed_status_confidence_score	opened_on	closed_on	website	monday_open	monday_close	tuesday_open	tuesday_close	wednesday_open	wednesday_close	thursday_open	thursday_close	friday_open	friday_close	saturday_open	saturday_close	sunday_open	sunday_close	building_polygon	building_polygon_confidence	estimated_visits	estimated_visitors	establishment_polygon	establishment_polygon_confidence	popular_times	visitor_same_day_brands	visitor_same_month_brands
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	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	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx
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Volume

40M

POIs

Avail. Formats

.json and .csv

File

Coverage

Countries

History

years

[Sample] dataplor_mobility_product_sample.csv

Attribute	Type	Example	Mapping
dataplor_id	String	be31b3ba-30b0-4c07-9e15-37beb04a3448	POI ID
parent_location	String	d9c6fca2-1da3-4da4-8d12-e3be885ad1cc	Location ID
name	String	First Watch	POI Name
location_name	String	Northglenn	Location Name
main_category	String	dining	POI Category
sub_category	String	cafe	POI Sub-category
sub_sub_category	String		POI Sub-category
business_category	String	breakfast_restaurant	Product Category
naics_code	Float	722511	Company NAICS Code
sic_code	Float	5812	Company SIC Code
chain_id	String	first_watch	Brand ID
chain_uuid	String	c9b5866d-0a29-4300-bf74-1c33bde021cc
chain_name	String	First Watch Restaurants
parent_chain_path	String
chain_uuid_path	String
store_number	String		Location ID
stock_ticker	String	NASDAQ:FWRG	Stock Ticker
phone	Integer	###########	Phone Number
address	String	### . ###* ***.	Address
address2	String	# ****** , *****, #####, ***	Address
h3_index	String	8f2681a6eba0512
neighborhood	String	Nob Hill	Neighborhood Name
city	String	Northglenn	City Name
state	String	Colorado	State Name
postal_code	String	80233	Postal Code
country_code	String	us	Country Code Alpha-2
country	String	United States of America (the)	Country Name
latitude	Float	39.91315378	Latitude
longitude	Float	-104.9874727	Longitude
dataplor_status	String	active
data_quality_confidence_score	String	0.9629588235
open_closed_status	String	open	POI Opening Hours
open_closed_status_confidence_score	Float	0.95
opened_on	String	2015-06-28T00:00:00+00:00
closed_on	String
website	String	https://firstwatch.com/locations/northglenn/	Website
monday_open	String	7:00	POI Opening Hours
monday_close	String	14:30	POI Opening Hours
tuesday_open	String	7:00	POI Opening Hours
tuesday_close	String	14:30	POI Opening Hours
wednesday_open	String	7:00	POI Opening Hours
wednesday_close	String	14:30	POI Opening Hours
thursday_open	String	7:00	POI Opening Hours
thursday_close	String	14:30	POI Opening Hours
friday_open	String	7:00	POI Opening Hours
friday_close	String	14:30	POI Opening Hours
saturday_open	String	7:00	POI Opening Hours
saturday_close	String	14:30	POI Opening Hours
sunday_open	String	7:00	POI Opening Hours
sunday_close	String	14:30	POI Opening Hours
building_polygon	String	POLYGON ((-104.9877035 39.9132192, -104.9877041 39.913168...
building_polygon_confidence	String	0.9
estimated_visits	String	{"2024-01":17762,"2024-02":15323,"2024-03":24222,"2024-04...
estimated_visitors	String	{"2024-01":11537,"2024-02":9625,"2024-03":12474,"2024-04"...
establishment_polygon	String	POLYGON ((-104.987701 39.913217, -104.987701 39.913061, -...
establishment_polygon_confidence	String	0.943
popular_times	String	[[7,[[6,0],[7,27],[8,51],[9,68],[10,75],[11,73],[12,62],[...
visitor_same_day_brands	String	{ "7_eleven" : 0.281992375, "adidas" : 0.243255407, "aeri...
visitor_same_month_brands	String	{ "7_eleven" : 0.278594207, "adidas" : 0.266308715, "aeri...

Product Attributes

Attribute	Type	Example	Mapping
address	String	# ****** , *****, #####, ***	Address
address2	String	# ****** , *****, #####, ***	Address
business_category	String	Electronics	Product Category
chain_id	String	420	Company ID
chain_name	String	Coca Cola	Company Name
city	String	Berlin	City Name
closed_on	String
country	String	United States of America	Country Name
county_code	String	US	Country Code Alpha-2
dataplor_id	String	e0e6be09-0f30-4f28-a92d-4822c1920f8c	POI ID
dataplor_status	String	active
data_quality_confidence_score	String	0.982
latitude	Float	47.71441	Latitude
longitude	Float	7.87391	Longitude
main_category	String	automotive_services	POI Category
naics_code	Float	441110	Company NAICS Code
name	String	Autohaus Maszurimm	POI Name
neighborhood	String	Nob Hill	Neighborhood Name
opened_on	String	2016-09-05
open_closed_status	String	open
open_closed_status_confidence_score	String	0.95
parent_location	String	c4811653-bf26-4fd2-85cf-0c89e28740a8	Placekey
phone	String	############	POI Telephone
postal_code	String	79669	Postal Code
sic_code	Float	5511	Company SIC Code
state	String	Baden-Württemberg	State Name
stock_ticker	String	NYSE:F	Stock Ticker
store_number	String		Location ID
sub_category	String	automobile	POI Sub-category
sub_sub_category	String	services	POI Sub-category

dataplor’s North America Mobility Data offers the most reliable, privacy-compliant insights into how populations move, congregate, and interact with locations throughout the United States, Canada, and Mexico.

dataplor’s foot traffic product addresses a significant gap in location intelligence by combining precise POI data with accurate foot traffic counts: - Historical visitor counts back to 2019 on every single commercial/physical location in the US, Canada, and Mexico (excluding any sensitive places) - Much more accurate scaling of visits than the typical approaches in the industry - High quality polygon dataset scaled through AI/ML - Fully GDPR compliant with no PII - Built on the highest quality point of interest/places data available This product includes: (1) POIs: Over 40 million meticulously verified and accurately geocoded Points-of-Interest across North America, forming the foundation of all mobility metrics. (2) Building Polygons: Detailed building footprints to enhance spatial accuracy and understand foot traffic distribution within specific structures or complexes. (3) Mobility Data: Aggregated and anonymized device movement information to analyze where, when, and how populations travel. Use Cases: (1) Retail Expansion: Identify high-traffic areas for store openings. (2) Marketing Optimization: Target areas with high consumer engagement. (3) Real Estate Decisions: Evaluate potential commercial properties based on visitor trends. (4) Competitor Analysis: Understand customer flows to competitor locations. (5) Urban Planning: Inform city planners about pedestrian dynamics.

Africa (1)

South Africa

North America (2)

Canada

Mexico

20 years of historical data

40 million

POIs

Free sample available

10% discount if you buy via Datarade

Revenue share is available at 30%

dataplor has not published pricing information for this product yet. You can request detailed pricing information below.

Request detailed pricing

Methods

Frequency

Format

Retail

Business Intelligence (BI)

Expansion Strategy Development

Local Economic Forecasting

Location Planning

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2 years of historical data

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100% GDPR-Compliant

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What is North America Foot Traffic, POI, and Building Polygon Data GDPR Compliant No PII 40+ million POIs?

What is North America Foot Traffic, POI, and Building Polygon Data GDPR Compliant No PII 40+ million POIs used for?

This product has 5 key use cases. dataplor recommends using the data for Retail, Business Intelligence (BI), Expansion Strategy Development, Local Economic Forecasting, and Location Planning. Global businesses and organizations buy Consumer Behavior Data from dataplor to fuel their analytics and enrichment.

Who can use North America Foot Traffic, POI, and Building Polygon Data GDPR Compliant No PII 40+ million POIs?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Consumer Behavior Data. Get in touch with dataplor to see what their data can do for your business and find out which integrations they provide.

How far back does the data in North America Foot Traffic, POI, and Building Polygon Data GDPR Compliant No PII 40+ million POIs go?

This product has 20 years of historical coverage. It can be delivered on a weekly, monthly, real-time, and on-demand basis.

Which countries does North America Foot Traffic, POI, and Building Polygon Data GDPR Compliant No PII 40+ million POIs cover?

This product includes data covering 3 countries like Canada, Mexico, and South Africa. dataplor is headquartered in United States of America.

How much does North America Foot Traffic, POI, and Building Polygon Data GDPR Compliant No PII 40+ million POIs cost?

Pricing information for North America Foot Traffic, POI, and Building Polygon Data GDPR Compliant No PII 40+ million POIs is available by getting in contact with dataplor. Connect with dataplor to get a quote and arrange custom pricing models based on your data requirements.

How can I get North America Foot Traffic, POI, and Building Polygon Data GDPR Compliant No PII 40+ million POIs?

Businesses can buy Consumer Behavior Data from dataplor and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, dataplor can deliver this product in .json and .csv format.

What is the data quality of North America Foot Traffic, POI, and Building Polygon Data GDPR Compliant No PII 40+ million POIs?

You can compare and assess the data quality of dataplor using Datarade’s data marketplace. dataplor has received 3 reviews from clients.

What are similar products to North America Foot Traffic, POI, and Building Polygon Data GDPR Compliant No PII 40+ million POIs?

This product has 3 related products. These alternatives include Echo Analytics Customer Journey Europe Aggregated Foot Traffic Data GDPR-Compliant, Real-Time Foot Traffic Data Aggregated Foot Traffic Data Location & Mobility Data Global 600+ Customers, 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 Consumer Behavior Data providers and products via Datarade’s data marketplace and get the right data for your use case.

North America Foot Traffic, POI, and Building Polygon Data | GDPR Compliant | No PII | 40+ million POIs

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

dataplor
Globally scaled, dynamically updated, and human-reviewed location intelligence.

Trusted by

North America Foot Traffic, POI, and Building Polygon Data | GDPR Compliant | No PII | 40+ million POIs

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

dataplor Globally scaled, dynamically updated, and human-reviewed location intelligence.

Trusted by

dataplor
Globally scaled, dynamically updated, and human-reviewed location intelligence.