Echo Analytics | Polygon Data | 14.4M+ Locations in the US
# | 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 |
latitude |
longitude |
geo_h3_id_level_10 |
parent_organization |
stock_ticker |
opening_hours |
website |
echo_building_id |
building_type |
building_name |
shape_type |
shape_polygon |
area_sq_meters |
||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | 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 | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx |
3 | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | 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 | xxxxxxxxxx | Xxxxx | xxxxxxx |
4 | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx |
5 | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | 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 |
6 | Xxxxxxxx | 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 | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx |
7 | 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 | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx |
8 | 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 |
9 | 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 |
10 | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx |
... | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
echo_poi_id
|
String | 3eba439b-9419-4883-a4d0-058863381ebe-7b7d6c2f-8ac8-42d5-8... | |
poi_name
|
String | Chevron | |
brand
|
String | CHEVRON | |
tier1_category
|
String | transportation | |
tier2_category
|
String | petrol station | |
tier1_naics_code
|
Integer | 21 | |
tier1_naics_category
|
String | Mining, Quarrying, and Oil and Gas Extraction | |
tier2_naics_code
|
String | - | |
tier2_naics_category
|
String | - | |
tier3_naics_code
|
String | - | |
tier3_naics_category
|
String | - | |
tier4_naics_code
|
String | - | |
tier4_naics_category
|
String | - | |
tier5_naics_code
|
String | - | |
tier5_naics_category
|
String | - | |
business_status
|
String | active | |
full_address
|
String | 7955 Laurel Canyon Blvd, North Hollywood, CA 91605 | |
street_address
|
String | NA | |
zip_code
|
Integer | 91352 | |
admin_boundary_3
|
String | Los Angeles | |
admin_boundary_2
|
String | Sun Valley, Los Angeles County | |
admin_boundary_1
|
String | California | |
String | US | Country Code Alpha-2 | |
latitude
|
String | 34,21545 | |
longitude
|
String | -118,39692 | |
geo_h3_id_level_10
|
String | 8a29a189e807fff | |
parent_organization
|
String | CHEVRON CORPORATION | |
stock_ticker
|
String | NYSE: CVX | |
opening_hours
|
String | {"Monday": [{"from": "05:00 AM", "to": "10:45 PM"}], "Tue... | |
String | Phone Number | ||
website
|
String | https://www.chevron.com/ | |
echo_building_id
|
String | NA | |
building_type
|
String | NA | |
building_name
|
String | NA | |
shape_type
|
String | polygon | |
shape_polygon
|
String | POLYGON((-118.3969521 34.2153868, -118.3968897 34.2153867... | |
area_sq_meters
|
Integer | 79 |
Attribute | Type | Example | Mapping |
---|---|---|---|
POI Data
|
|||
echo_building_id
|
String | 4ecb01d4-305b-42c2-90c7-ca95e213a4f6-89fd85f5-15af-4b43-a... | |
building_type
|
String | ||
building_name
|
String | Starbucks | |
shape_type
|
String | circle | |
shape_polygons
|
String | POLYGON((-73.9819279031906 40.7650770155098, -73.98197430... | |
area_sq_meters
|
String | 1249 |
Description
Country Coverage
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 Polygon Data 14.4M+ Locations in the US?
Building Footprint data is based on ‘polygon geofences’ that define the boundaries of buildings. It includes very detailed insights into the Building Type, Name, Shape, and more. By combining it with POI and Mobility data, it allows for a more accurate representation of an area.
What is Echo Analytics Polygon Data 14.4M+ Locations in the US used for?
This product has 5 key use cases. Echo Analytics recommends using the data for Geo-Conquesting, Urban Planning, Property Investment, Point of Interest (POI) Mapping, and Point of Interest (POI) Marketing. Global businesses and organizations buy Point of Interest (POI) Data from Echo Analytics to fuel their analytics and enrichment.
Who can use Echo Analytics Polygon Data 14.4M+ Locations in the US?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Point of Interest (POI) 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 Polygon Data 14.4M+ Locations in the US cover?
This product includes data covering 1 country like USA. Echo Analytics is headquartered in France.
How much does Echo Analytics Polygon Data 14.4M+ Locations in the US cost?
Pricing information for Echo Analytics Polygon Data 14.4M+ Locations in the US 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 Polygon Data 14.4M+ Locations in the US?
Businesses can buy Point of Interest (POI) Data from Echo Analytics and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, Echo Analytics can deliver this product in .csv and .xls format.
What is the data quality of Echo Analytics Polygon Data 14.4M+ Locations in the US?
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 Polygon Data 14.4M+ Locations in the US?
This product has 3 related products. These alternatives include Echo Analytics Building Footprint Data 11M+ Locations in UK, France, Italy, Germany & Spain, Xtract.io - Store Location Data Polygon Data Park and Ride Locations in US and Canada, and SafeGraph: Location Data - Global Coverage 52M+ POIs. You can compare the best Point of Interest (POI) Data providers and products via Datarade’s data marketplace and get the right data for your use case.