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Germany Building Footprint Data | 6.1M+ Locations in Germany
# | 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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2 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | 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 | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx |
3 | xxxxxxxxxx | Xxxxx | xxxxxxx | 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 | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
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 |
6 | 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 | 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 |
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 | 78712199 | |
CompanyName
|
String | Andreas Rascher | |
TradeName
|
String | Rascher's Lieferservice | |
Address1
|
String | Obere Torstr. 6 | |
Address2
|
|||
PostCode
|
Integer | 91785 | |
City
|
String | Pleinfeld | |
CityCode
|
String | DE09577161 | |
Locality
|
|||
LocalityCode
|
|||
Province
|
String | Weißenburg-Gunzenhausen | |
ProvinceCode
|
String | DE09577 | |
Region
|
String | Bayern | |
RegionCode
|
String | DE09 | |
Country
|
String | Germany | |
CountryCode
|
String | DE | |
Language
|
String | GER | |
PhoneOrMobile
|
String | +49 91449275000 | |
Phone
|
String | ||
Fax
|
|||
Mobile
|
|||
Email
|
String | ||
Website
|
String | http://rascherslieferservice.de/ | |
InfobelCode
|
Integer | 7758 | |
InfobelLabel
|
String | Restaurants | |
PrimaryLocalActivityCode
|
|||
LocalActivityTypeCode
|
|||
YearStarted
|
Integer | 2016 | |
NumberOfFamilyMembers
|
|||
EmployeesHere
|
Integer | 1 | |
EmployeesHereReliabilityCode
|
Integer | 3 | |
EmployeesHereReliabilityCodeDescription
|
String | Modeled | |
EmployeesTotal
|
Integer | 1 | |
EmployeesTotalReliabilityCode
|
Integer | 3 | |
EmployeesTotalReliabilityCodeDescription
|
String | Modeled | |
LegalStatusCode
|
Integer | 13 | |
LegalStatusCodeDescription
|
String | Proprietorship | |
StatusCode
|
Integer | 0 | |
StatusCodeDescription
|
String | SingleLocation | |
SalesVolumeLocal
|
Integer | 235000 | |
CurrencyCode
|
String | EUR | |
SalesVolumeDollars
|
Integer | 260619 | |
SalesVolumeEuros
|
Integer | 235000 | |
SalesVolumeReliabilityCode
|
Integer | 2 | |
SalesVolumeReliabilityCodeDescription
|
String | Estimated | |
GenericOpeningHours
|
String | {"OpeningHoursSets":[{"OpeningLabel":"","DaysList":[{"Wee... | |
Longitude
|
Float | 10.98516695 | |
Latitude
|
Float | 49.10473615 | |
GeoLevel
|
Integer | 4 | |
GeoLevelDescription
|
String | RoofTop | |
BuildingName
|
String | Rascher´s Lieferservice | |
BuildingType
|
String | building | |
BuildingGeom
|
String | POLYGON ((10.9850573 49.1047158, 10.9851281 49.1047023, 1... | |
BuildingArea
|
Integer | 124 |
Description
Country Coverage
History
Volume
1 | Country |
6 | M+ companies |
3,200 | Business sectors |
50 | + Data attributes |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Germany Building Footprint Data 6.1M+ Locations in Germany?
Gain access to 6.1M+ high-precision building footprint data across Germany. Filter by building types, locations and attributes and create tailored datasets that drives more effective marketing, real estate planning, and business growth.
What is Germany Building Footprint Data 6.1M+ Locations in Germany 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 Germany Building Footprint Data 6.1M+ Locations in Germany?
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 Germany Building Footprint Data 6.1M+ Locations in Germany 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 Germany Building Footprint Data 6.1M+ Locations in Germany cover?
This product includes data covering 1 country like Germany. InfobelPRO is headquartered in Belgium.
How much does Germany Building Footprint Data 6.1M+ Locations in Germany cost?
Pricing information for Germany Building Footprint Data 6.1M+ Locations in Germany 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 Germany Building Footprint Data 6.1M+ Locations in Germany?
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 Germany Building Footprint Data 6.1M+ Locations in Germany?
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 Germany Building Footprint Data 6.1M+ Locations in Germany?
This product has 3 related products. These alternatives include EU Building Footprint Data 51M+ Locations in Europe: Germany, France (…), Echo Analytics Polygon Data 14.4M+ Locations in the US, and Location Data Pharmacies & Drug Store Locations in US and Canada Polygon Data Comprehensive Mapping. You can compare the best GIS Data providers and products via Datarade’s data marketplace and get the right data for your use case.