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Home/Geospatial Data/Building Footprint Data/
Echo Analytics | Building Footprint Data | 11M+ Locations in UK, Fr...
Echo Analytics | Building Footprint Data | 11M+ Locations in UK, France, Ital...
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Echo Analytics | Building Footprint Data | 11M+ Locations in UK, France, Italy, Germany & Spain product image in hero

Echo Analytics | Building Footprint Data | 11M+ Locations in UK, France, Italy, Germany & Spain

Echo Analytics
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Contact Provider Save for later
Data Samples
sample_shapes.csv
#
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
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
Sign In To Preview Data
sample_shapes.csv
Volume
11
Million
Avail. Formats
.csv and .xls
File
Coverage
5
Countries

Data Dictionary

[Sample] sample_shapes.csv
Attribute Type Example Mapping
echo_poi_id
 String 3eba439b-9419-4883-a4d0-058863381ebe-7b7d6c2f-8ac8-42d5-8... POI ID
poi_name
 String Chevron POI Name
brand
 String CHEVRON Brand Name
tier1_category
 String transportation POI Category
tier2_category
 String petrol station POI Sub-category
tier1_naics_code
 Integer 21 Company NAICS Code
tier1_naics_category
 String Mining, Quarrying, and Oil and Gas Extraction
tier2_naics_code
 Integer -
tier2_naics_category
 String -
tier3_naics_code
 Integer -
tier3_naics_category
 String -
tier4_naics_code
 Integer -
tier4_naics_category
 String -
tier5_naics_code
 Integer -
tier5_naics_category
 String -
business_status
 String active
full_address
 String #### ****** ****** ****, ***** *********, ** ##### Address
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
country_code
 String US Country Code Alpha-2
latitude
 Float 34,21545 Latitude
longitude
 Float -118,39692 Longitude
geo_h3_id_level_10
 String 8a29a189e807fff
parent_organization
 String CHEVRON CORPORATION Organization Name
stock_ticker
 String NYSE: CVX Stock Ticker
opening_hours
 String {"Monday": [{"from": "05:00 AM", "to": "10:45 PM"}], "Tue... POI Opening Hours
phone_number
 String (###) ###-#### Company Phone Number
website
 String https://www.chevron.com/ Website
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
Product Attributes
Attribute Type Example Mapping
POI Data
echo_building_id
 String e2d6893d-57f8-4a4b-873a-75d3c5046efb-c23091ab-a8df-458a-8...
building_type
 String
building_name
 String
shape_type
 String circle
shape_polygons
 String POLYGON((-74.2361389698157 40.5181471388769, -74.23618521...
area_sq_meters
 String 1249

Description

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.
Echo’s Building Footprint datasets have been built to ensure ongoing accuracy & precision. We use satellite imagery, machine learning & human verification, to define the most precise boundaries of any location (stores, landmarks, amenities, offices, etc.) and build polygon-based "geofences" around 11M+ Places in the EU-5. By doing so, it is possible to identify the precise footprints so companies can benefit from an accurate geospatial analysis of countries, cities, or even local neighbourhoods. With Echo's Building Footprint data it is possible to: - Build location-based strategies fast - Increase accuracy of Foot Traffic data - Pinpoint locations for highly precise Mapping - Improve Site Selection processes Clients using this dataset are commonly from: - Commercial Real Estate & PropTech - Retail - Investment Banking

Country Coverage

Europe (5)
France
Germany
Italy
Spain
United Kingdom

Volume

11 Million

Pricing

Free sample available
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Not available
Request detailed pricing

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
Email
Frequency
monthly
quarterly
Format
.csv
.xls

Use Cases

Categories

Related Searches

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Frequently asked questions

What is Echo Analytics Building Footprint Data 11M+ Locations in UK, France, Italy, Germany & Spain?

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 Building Footprint Data 11M+ Locations in UK, France, Italy, Germany & Spain 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 Foot Traffic Data from Echo Analytics to fuel their analytics and enrichment.

Who can use Echo Analytics Building Footprint Data 11M+ Locations in UK, France, Italy, Germany & Spain?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Foot Traffic 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 Building Footprint Data 11M+ Locations in UK, France, Italy, Germany & Spain cover?

This product includes data covering 5 countries like Germany, United Kingdom, France, Italy, and Spain. Echo Analytics is headquartered in France.

How much does Echo Analytics Building Footprint Data 11M+ Locations in UK, France, Italy, Germany & Spain cost?

Pricing information for Echo Analytics Building Footprint Data 11M+ Locations in UK, France, Italy, Germany & Spain 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 Building Footprint Data 11M+ Locations in UK, France, Italy, Germany & Spain?

Businesses can buy Foot Traffic Data from Echo Analytics and get the data via S3 Bucket and Email. 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 Building Footprint Data 11M+ Locations in UK, France, Italy, Germany & Spain?

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 Building Footprint Data 11M+ Locations in UK, France, Italy, Germany & Spain?

This product has 3 related products. These alternatives include Echo Analytics Building Footprint Data 38M+ Locations in the US, UK, France, Italy, Germany & Spain, The Data Appeal Global Map Data API, Dataset 251M POI Data Coverage from 2019 Measure sentiment and Customer Experience, and Factori Location Intelligence with Profile POI + People Data . 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.

Pricing available upon request
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Not available

Echo Analytics

Fuel your data-driven strategy with the most accurate Geospatial Data worldwide.
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