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43M+ Building Footprints United States
# | UniqueID |
CompanyName |
TradeName |
Address1 |
Address2 |
PostCode |
City |
CityCode |
Locality |
LocalityCode |
Province |
ProvinceCode |
Region |
RegionCode |
Country |
CountryCode |
Language |
PhoneOrMobile |
Phone |
Fax |
Mobile |
Email |
Website |
InfobelCode |
InfobelLabel |
PrimaryLocalActivityCode |
LocalActivityTypeCode |
YearStarted |
NumberOfFamilyMembers |
EmployeesHere |
EmployeesHereReliabilityCode |
EmployeesHereReliabilityCodeDescription |
EmployeesTotal |
EmployeesTotalReliabilityCode |
EmployeesTotalReliabilityCodeDescription |
LegalStatusCode |
LegalStatusCodeDescription |
StatusCode |
StatusCodeDescription |
SalesVolumeLocal |
CurrencyCode |
SalesVolumeDollars |
SalesVolumeEuros |
SalesVolumeReliabilityCode |
SalesVolumeReliabilityCodeDescription |
GenericOpeningHours |
Longitude |
Latitude |
GeoLevel |
GeoLevelDescription |
BuildingName |
BuildingType |
BuildingGeom |
BuildingArea |
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4 | 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 | 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 |
5 | 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 | 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 |
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7 | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | 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 |
8 | 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 | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx |
9 | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx |
10 | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx |
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
UniqueID
|
Integer | 32489898 | |
CompanyName
|
String | Amy & Bryan Smith | |
TradeName
|
|||
Address1
|
String | 3685 Abrazite Way | |
Address2
|
|||
PostCode
|
Integer | 30040 | |
City
|
String | Cumming | |
CityCode
|
String | USGA11790828_4514097 | |
Locality
|
|||
LocalityCode
|
|||
Province
|
String | Forsyth | |
ProvinceCode
|
String | USGA117 | |
Region
|
String | Georgia | |
RegionCode
|
String | USGA | |
Country
|
String | USA | |
CountryCode
|
String | US | |
Language
|
String | ENG | |
PhoneOrMobile
|
|||
Phone
|
|||
Fax
|
|||
Mobile
|
|||
Email
|
|||
Website
|
|||
InfobelCode
|
|||
InfobelLabel
|
|||
PrimaryLocalActivityCode
|
|||
LocalActivityTypeCode
|
|||
YearStarted
|
Integer | 2011 | |
NumberOfFamilyMembers
|
|||
EmployeesHere
|
Integer | 2 | |
EmployeesHereReliabilityCode
|
Integer | 3 | |
EmployeesHereReliabilityCodeDescription
|
String | Modeled | |
EmployeesTotal
|
Integer | 2 | |
EmployeesTotalReliabilityCode
|
Integer | 3 | |
EmployeesTotalReliabilityCodeDescription
|
String | Modeled | |
LegalStatusCode
|
|||
LegalStatusCodeDescription
|
|||
StatusCode
|
Integer | 0 | |
StatusCodeDescription
|
String | SingleLocation | |
SalesVolumeLocal
|
Integer | 92254 | |
CurrencyCode
|
String | USD | |
SalesVolumeDollars
|
Integer | 92254 | |
SalesVolumeEuros
|
Integer | 87237 | |
SalesVolumeReliabilityCode
|
Integer | 3 | |
SalesVolumeReliabilityCodeDescription
|
String | Modeled | |
GenericOpeningHours
|
|||
Longitude
|
Float | -84.22818649999999 | |
Latitude
|
Float | 34.209387 | |
GeoLevel
|
Integer | 5 | |
GeoLevelDescription
|
String | RoofTop Derived | |
BuildingName
|
|||
BuildingType
|
String | building | |
BuildingGeom
|
String | MULTIPOLYGON (((-84.228126 34.209297, -84.22808 34.209449... | |
BuildingArea
|
Integer | 244 |
Description
Country Coverage
History
Volume
1 | Country |
43 | M+ companies |
3,200 | Business sectors |
50 | + Data attributes |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is 43M+ Building Footprints United States?
Gain access to 43M+ high-precision building footprint data across the United States of America. Filter by building types, locations and attributes and create tailored datasets that drives more effective marketing, real estate planning, and business growth.
What is 43M+ Building Footprints United States used for?
This product has 5 key use cases. InfobelPRO recommends using the data for Location-based Analytics, Risk Assessment, Point of Interest (POI) Mapping, Navigation, and Energy Usage Management. Global businesses and organizations buy GIS Data from InfobelPRO to fuel their analytics and enrichment.
Who can use 43M+ Building Footprints United States?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for GIS Data. Get in touch with InfobelPRO to see what their data can do for your business and find out which integrations they provide.
How far back does the data in 43M+ Building Footprints United States go?
This product has 8 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does 43M+ Building Footprints United States cover?
This product includes data covering 1 country like USA. InfobelPRO is headquartered in Belgium.
How much does 43M+ Building Footprints United States cost?
Pricing information for 43M+ Building Footprints United States is available by getting in contact with InfobelPRO. Connect with InfobelPRO to get a quote and arrange custom pricing models based on your data requirements.
How can I get 43M+ Building Footprints United States?
Businesses can buy GIS Data from InfobelPRO and get the data via S3 Bucket, SFTP, Email, UI Export, REST API, SOAP API, Streaming API, and Feed API. Depending on your data requirements and subscription budget, InfobelPRO can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.
What is the data quality of 43M+ Building Footprints United States?
InfobelPRO has reported that this product has the following quality and accuracy assurances: 95% quality. You can compare and assess the data quality of InfobelPRO using Datarade’s data marketplace. InfobelPRO has received 2 reviews from clients. InfobelPRO appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? January Edition.
What are similar products to 43M+ Building Footprints United States?
This product has 3 related products. These alternatives include US Building Footprints 43M+ Locations in the United States Customise your dataset, Location Data Top 150 Airports in US and Canada Polygon Data Accurate Building Footprints Data, and Echo Analytics Polygon Data 14.4M+ Locations in the US. You can compare the best GIS Data providers and products via Datarade’s data marketplace and get the right data for your use case.