Echo Analytics | POI Data | 17M Locations available in USA | Points of Interest (POIs) USA
# | echo_poi_id |
poi_name |
brand |
tier1_category |
tier2_category |
tier1_naics_code |
tier1_naics_category |
tier2_naics_code |
tier2_naics_category |
tier3_naics_code |
tier3_naics_category |
tier4_naics_code |
tier4_naics_category |
tier5_naics_code |
tier5_naics_category |
business_status |
full_address |
street_address |
zip_code |
admin_boundary_3 |
admin_boundary_2 |
admin_boundary_1 |
country_code |
latitude |
longitude |
geo_h3_id_level_10 |
parent_organization |
stock_ticker |
opening_hours |
phone_number |
website |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | 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 | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx |
3 | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx |
4 | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx |
5 | xxxxxxxxxx | Xxxxx | 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 | Xxxxxxxxx |
6 | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx |
7 | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | 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 | xxxxxxxx |
8 | 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 | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx |
9 | 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 |
10 | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx |
... | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
echo_poi_id
|
String | c09ccc03-c66d-4742-960d-017bab41f959-14119aea-a478-4aa6-a... | |
poi_name
|
String | McDonald's | |
brand
|
String | MCDONALD'S | |
tier1_category
|
String | food and dining | |
tier2_category
|
String | quick service restaurant | |
tier1_naics_code
|
Integer | 72 | |
tier1_naics_category
|
String | Accommodation and Food Services | |
tier2_naics_code
|
Integer | 722 | |
tier2_naics_category
|
String | Food Services and Drinking Places | |
tier3_naics_code
|
Integer | 7225 | |
tier3_naics_category
|
String | Restaurants and Other Eating Places | |
tier4_naics_code
|
Integer | 72251 | |
tier4_naics_category
|
String | Restaurants and Other Eating Places | |
tier5_naics_code
|
Integer | 722513 | |
tier5_naics_category
|
String | Limited-Service Restaurants | |
business_status
|
String | NA | |
full_address
|
String | 7161 Sepulveda Blvd, Van Nuys, CA 91406 | |
street_address
|
String | NA | |
zip_code
|
Integer | 91406 | |
admin_boundary_3
|
String | Los Angeles | |
admin_boundary_2
|
String | Los Angeles County | |
admin_boundary_1
|
String | California | |
country_code
|
String | US | |
latitude
|
String | 34,20075 | |
longitude
|
String | -118,46672 | |
geo_h3_id_level_10
|
String | 8a29a188e98ffff | |
parent_organization
|
String | MCDONALD'S CORPORATION | |
stock_ticker
|
String | NYSE: MCD | |
opening_hours
|
String | {"Monday": [{"from": "05:00 AM", "to": "11:00 PM"}], "Tue... | |
phone_number
|
String | ||
website
|
String | https://www.mcdonalds.com/us/en-us/location/CA/VAN-NUYS/7... |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | 0f65ed7e-f75c-4c3b-a71e-4bf090f0cfeb-56591e76-192a-4039-b... | POI ID | |
String | Costco Pharmacy | POI Name | |
String | COSTCO WHOLESALE | Brand Name | |
String | healthcare | POI Category | |
String | pharmacies | POI Sub-category | |
tier1_naics_code
|
Integer | 44-45 | |
tier1_naics_category
|
String | Retail Trade | |
tier2_naics_code
|
Integer | 455 | |
tier2_naics_category
|
String | General Merchandise Retailers | |
tier3_naics_code
|
Integer | 4552 | |
tier3_naics_category
|
String | Warehouse Clubs, Supercenters, and Other General Merchand... | |
tier4_naics_code
|
Integer | 45521 | |
tier4_naics_category
|
String | Warehouse Clubs, Supercenters, and Other General Merchand... | |
tier5_naics_code
|
Integer | 455211 | |
tier5_naics_category
|
String | Warehouse Clubs and Supercenters | |
business_status
|
String | active | |
full_address
|
String | 2975, Richmond Avenue, Staten Island, New York, 10314, Un... | |
street_address
|
String | 2975, Richmond Avenue | |
String | 10314 | ZIP Code | |
String | New York | City Name | |
String | Staten Island | County Name | |
String | New York | State Name | |
String | US | Country Code Alpha-2 | |
Float | 40,57228 | Latitude | |
Float | -74,16845 | Longitude | |
geo_h3_id_level_10
|
String | 8a2a106018cffff | |
String | COSTCO WHOLESALE CORPORATION | Organization Name | |
String | NASDAQ: COST | Stock Ticker | |
String | {"Wednesday": [{"from": "10:00 AM", "to": "07:00 PM"}], "... | POI Opening Hours | |
String | Phone Number | ||
String | http://www.costco.com/ | Website |
Description
Geography
Volume
17 | Million |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Echo Analytics POI Data 17M Locations available in USA Points of Interest (POIs) USA?
Get verified business & geographical information on the most relevant locations of your choice. Echo’s Places Data includes millions of points of interest (POIs) in the physical world containing attributes such as names, addresses, categories, opening & closing hours, brand affinity, and so on.
What is Echo Analytics POI Data 17M Locations available in USA Points of Interest (POIs) USA used for?
This product has 5 key use cases. Echo Analytics recommends using the data for Location-based Marketing, Digital Out-of-home (DOOH) Advertising, Data Enrichment, Competitor Insights, and Point of Interest (POI) Mapping. Global businesses and organizations buy Store Location Data from Echo Analytics to fuel their analytics and enrichment.
Who can use Echo Analytics POI Data 17M Locations available in USA Points of Interest (POIs) USA?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Store Location Data. Get in touch with Echo Analytics to see what their data can do for your business and find out which integrations they provide.
Which countries does Echo Analytics POI Data 17M Locations available in USA Points of Interest (POIs) USA cover?
This product includes data covering 1 country like USA. Echo Analytics is headquartered in France.
How much does Echo Analytics POI Data 17M Locations available in USA Points of Interest (POIs) USA cost?
Pricing information for Echo Analytics POI Data 17M Locations available in USA Points of Interest (POIs) USA is available by getting in contact with Echo Analytics. Connect with Echo Analytics to get a quote and arrange custom pricing models based on your data requirements.
How can I get Echo Analytics POI Data 17M Locations available in USA Points of Interest (POIs) USA?
Businesses can buy Store Location Data from Echo Analytics and get the data via S3 Bucket, SFTP, and Email. Depending on your data requirements and subscription budget, Echo Analytics can deliver this product in .json, .csv, and .xls format.
What is the data quality of Echo Analytics POI Data 17M Locations available in USA Points of Interest (POIs) USA?
You can compare and assess the data quality of Echo Analytics using Datarade’s data marketplace. Echo Analytics has received 3 reviews from clients. Echo Analytics appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? August Edition.
What are similar products to Echo Analytics POI Data 17M Locations available in USA Points of Interest (POIs) USA?
This Tabular Data has 3 related products. These alternatives include Echo Analytics POI & Building Footprint Data 6.9M+ Locations USA, Location Data Global Store Location Data on 51M+ POI SafeGraph Places, and Xtract.io - Point-of-Interest (POI) Data Locations data All Darden restaurant locations in US. You can compare the best Store Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.