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Asia Building Footprint Data | 3M+ Locations in Asia: India, Vietnam (...)
# | 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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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
|
Float | 786640084.0 | |
CompanyName
|
String | UTKARSH LAXMI ASSOCIATES | |
TradeName
|
|||
Address1
|
String | 10, | |
Address2
|
String | DELHI ROAD | |
PostCode
|
Integer | 250002 | |
City
|
String | Meerut | |
CityCode
|
String | INUP0701 | |
Locality
|
|||
LocalityCode
|
String | INUP070301028 | |
Province
|
String | Uttar Pradesh | |
ProvinceCode
|
String | INUP | |
Region
|
|||
RegionCode
|
|||
Country
|
String | India | |
CountryCode
|
String | IN | |
Language
|
String | ENG | |
PhoneOrMobile
|
String | 0121 645 5609 | |
Phone
|
String | ||
Fax
|
|||
Mobile
|
|||
Email
|
|||
Website
|
|||
InfobelCode
|
|||
InfobelLabel
|
|||
PrimaryLocalActivityCode
|
|||
LocalActivityTypeCode
|
|||
YearStarted
|
Integer | 2005 | |
NumberOfFamilyMembers
|
|||
EmployeesHere
|
Integer | 0 | |
EmployeesHereReliabilityCode
|
Integer | 2 | |
EmployeesHereReliabilityCodeDescription
|
String | Estimated | |
EmployeesTotal
|
Integer | 0 | |
EmployeesTotalReliabilityCode
|
Integer | 2 | |
EmployeesTotalReliabilityCodeDescription
|
String | Estimated | |
LegalStatusCode
|
|||
LegalStatusCodeDescription
|
|||
StatusCode
|
Integer | 0 | |
StatusCodeDescription
|
String | SingleLocation | |
SalesVolumeLocal
|
Integer | 0 | |
CurrencyCode
|
|||
SalesVolumeDollars
|
Integer | 0 | |
SalesVolumeEuros
|
Integer | 0 | |
SalesVolumeReliabilityCode
|
Integer | 2 | |
SalesVolumeReliabilityCodeDescription
|
String | Estimated | |
GenericOpeningHours
|
|||
Longitude
|
Float | 77.69256495 | |
Latitude
|
Float | 28.97546415 | |
GeoLevel
|
Integer | 5 | |
GeoLevelDescription
|
String | RoofTop Derived | |
BuildingName
|
|||
BuildingType
|
String | building | |
BuildingGeom
|
String | POLYGON ((77.6925587 28.9756639, 77.6923875 28.9753384, 7... | |
BuildingArea
|
Integer | 783 |
Description
Country Coverage
History
Volume
7 | Countries |
3 | 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 Asia Building Footprint Data 3M+ Locations in Asia: India, Vietnam (…)?
Gain access to 3M+ high-precision building footprint data across 7 countries. Filter by building types, locations and attributes and create tailored datasets that drives more effective marketing, real estate planning, and business growth.
What is Asia Building Footprint Data 3M+ Locations in Asia: India, Vietnam (…) 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 Asia Building Footprint Data 3M+ Locations in Asia: India, Vietnam (…)?
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 Asia Building Footprint Data 3M+ Locations in Asia: India, Vietnam (…) 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 Asia Building Footprint Data 3M+ Locations in Asia: India, Vietnam (…) cover?
This product includes data covering 7 countries like India, Indonesia, Turkey, Thailand, and Singapore. InfobelPRO is headquartered in Belgium.
How much does Asia Building Footprint Data 3M+ Locations in Asia: India, Vietnam (…) cost?
Pricing information for Asia Building Footprint Data 3M+ Locations in Asia: India, Vietnam (…) 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 Asia Building Footprint Data 3M+ Locations in Asia: India, Vietnam (…)?
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 Asia Building Footprint Data 3M+ Locations in Asia: India, Vietnam (…)?
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 Asia Building Footprint Data 3M+ Locations in Asia: India, Vietnam (…)?
This product has 3 related products. These alternatives include Luxemburg Building Footprint Data 0.1M+ Locations in Luxemburg, 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.