Building Footprint Data | 114M+ Building Footprint

#	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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...	xxxxxxxx	Xxxxxxxx	xxxxxxx	xxxxxx	Xxxxxxxx	xxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxxxx	xxxxxx	Xxxxxxxx	xxxxx	Xxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxxx	Xxxxx	Xxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	xxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxxxxxx	xxxxxxxx	xxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxx	xxxxx	xxxxxxx	xxxxxxxx	xxxxxx

Volume

3.2K

Business sectors

Data Quality

95%

quality

Avail. Formats

.bin, .json, and .xml

File

Coverage

250

Countries

History

years

[Sample] Building Footprints Sample Global.csv

Attribute	Type	Example
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

Gain access to 114M+ high-precision building footprint data across 220 countries. Filter by building types, locations and attributes and create tailored datasets that drives more effective marketing, real estate planning, and business growth.

Access 114M+ high-precision building footprints across 220 countries, enabling advanced mapping, location analysis, and strategic decision-making. With 30+ years of data expertise, we provide clean, validated, and enriched datasets to power businesses worldwide. - Expand market reach with global-scale, high-precision data. - Enhance mapping, navigation, and spatial analysis. - Optimize site selection, urban planning, and infrastructure development. - Improve logistics, delivery routes, and network optimization. - Assess property values, competitor landscapes, and demographic trends. - Strengthen disaster management and risk assessment with reliable insights. - Leverage AI-driven enrichment for deeper, data-driven decision-making. Our use cases demonstrate how our data has been beneficial and helped our customers in several key areas: 1. Gain a Competitive Edge with Smarter Mapping: Use building footprint data to analyse competitors, identify high-traffic areas, and optimize locations for maximum market impact. 2. Enhance Navigation & Last-Mile Efficiency: Improve customer experiences with precise building entrances, parking areas, and optimized routes for seamless navigation and delivery. 3. Find the Perfect Site for Growth: Leverage building footprint data to select prime locations, maximize foot traffic, and drive higher sales. 4. Optimize Energy & Infrastructure Planning: Assess rooftop solar potential, utility networks, and energy distribution for smarter, more efficient urban development. 5. Improve Risk Assessment & Security: Use precise building data for insurance underwriting, security planning, and crime prevention strategies.

Africa (58)

Algeria

Angola

Benin

Botswana

Burkina Faso

Burundi

Cabo Verde

Cameroon

Central African Republic

Chad

Comoros

Congo

Congo (Democratic Republic of the)

Côte d'Ivoire

Djibouti

Egypt

Equatorial Guinea

Eritrea

Ethiopia

Gabon

Gambia

Ghana

Guinea

Guinea-Bissau

Kenya

Lesotho

Liberia

Libya

Madagascar

Malawi

Mali

Mauritania

Mauritius

Mayotte

Morocco

Mozambique

Namibia

Niger

Nigeria

Rwanda

Réunion

Saint Helena, Ascension and Tristan da Cunha

Sao Tome and Principe

Senegal

Seychelles

Sierra Leone

Somalia

South Africa

South Sudan

Sudan

Swaziland

Tanzania, United Republic of

Togo

Tunisia

Uganda

Western Sahara

Zambia

Zimbabwe

Asia (51)

Afghanistan

Armenia

Azerbaijan

Bahrain

Bangladesh

Bhutan

Brunei Darussalam

Cambodia

China

Cyprus

Georgia

Hong Kong

India

Indonesia

Iran (Islamic Republic of)

Iraq

Israel

Japan

Jordan

Kazakhstan

Korea (Democratic People's Republic of)

Korea (Republic of)

Kuwait

Kyrgyzstan

Lao People's Democratic Republic

Lebanon

Macao

Malaysia

Maldives

Mongolia

Myanmar

Nepal

Oman

Pakistan

Palestine, State of

Philippines

Qatar

Saudi Arabia

Singapore

Sri Lanka

Syrian Arab Republic

Taiwan

Tajikistan

Thailand

Timor-Leste

Turkey

Turkmenistan

United Arab Emirates

Uzbekistan

Vietnam

Yemen

Europe (52)

Albania

Andorra

Austria

Belarus

Belgium

Bosnia and Herzegovina

Bulgaria

Croatia

Czech Republic

Denmark

Estonia

Faroe Islands

Finland

France

Germany

Gibraltar

Greece

Guernsey

Holy See

Hungary

Iceland

Ireland

Isle of Man

Italy

Jersey

Kosovo

Latvia

Liechtenstein

Lithuania

Luxembourg

Macedonia (the former Yugoslav Republic of)

Malta

Moldova (Republic of)

Monaco

Montenegro

Netherlands

Norway

Poland

Portugal

Romania

Russian Federation

San Marino

Serbia

Slovakia

Slovenia

Spain

Svalbard and Jan Mayen

Sweden

Switzerland

Ukraine

United Kingdom

Åland Islands

North America (13)

Belize

Bermuda

Canada

Costa Rica

El Salvador

Greenland

Guatemala

Honduras

Mexico

Nicaragua

Panama

Saint Pierre and Miquelon

United States of America

Oceania (25)

American Samoa

Australia

Cook Islands

Fiji

French Polynesia

Guam

Kiribati

Marshall Islands

Micronesia (Federated States of)

Nauru

New Caledonia

New Zealand

Niue

Norfolk Island

Northern Mariana Islands

Palau

Papua New Guinea

Pitcairn

Samoa

Solomon Islands

Tokelau

Tonga

Tuvalu

Vanuatu

Wallis and Futuna

Other (9)

Antarctica

Bouvet Island

British Indian Ocean Territory

Christmas Island

Cocos (Keeling) Islands

French Southern Territories

Heard Island and McDonald Islands

South Georgia and the South Sandwich Islands

United States Minor Outlying Islands

South America (42)

Anguilla

Antigua and Barbuda

Argentina

Aruba

Bahamas

Barbados

Bolivia (Plurinational State of)

Bonaire, Sint Eustatius and Saba

Brazil

Cayman Islands

Chile

Colombia

Cuba

Curaçao

Dominica

Dominican Republic

Ecuador

Falkland Islands (Malvinas)

French Guiana

Grenada

Guadeloupe

Guyana

Haiti

Jamaica

Martinique

Montserrat

Paraguay

Peru

Puerto Rico

Saint Barthélemy

Saint Kitts and Nevis

Saint Lucia

Saint Martin (French part)

Saint Vincent and the Grenadines

Sint Maarten (Dutch part)

Suriname

Trinidad and Tobago

Turks and Caicos Islands

Uruguay

Venezuela (Bolivarian Republic of)

Virgin Islands (British)

Virgin Islands (U.S.)

8 years of historical data

220	Countries
114	M+ companies
3,200	Business sectors
50	+ Data attributes

InfobelPRO has not published pricing information for this product yet. You can request detailed pricing information below.

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Self-reported by the provider

95%

quality

Methods

Frequency

Format

Location-based Analytics

Risk Assessment Point of Interest (POI) Mapping

Navigation

Energy Usage Management

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buildings database

3.2K Business sectors

95% quality

250 countries covered

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What is Building Footprint Data 114M+ Building Footprint?

What is Building Footprint Data 114M+ Building Footprint 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 Building Footprint Data 114M+ Building Footprint?

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 Building Footprint Data 114M+ Building Footprint 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 Building Footprint Data 114M+ Building Footprint cover?

This product includes data covering 250 countries like USA, China, Japan, Germany, and India. InfobelPRO is headquartered in Belgium.

How much does Building Footprint Data 114M+ Building Footprint cost?

Pricing information for Building Footprint Data 114M+ Building Footprint 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 Building Footprint Data 114M+ Building Footprint?

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 Building Footprint Data 114M+ Building Footprint?

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 Building Footprint Data 114M+ Building Footprint?

This product has 3 related products. These alternatives include Building Footprint Data Global Coverage: US, UK, Germany, Canada, France (…) 114M+ Building Footprints, Global Point of Interest (POI) Data & Polygon Data Location Data Geofence Insights Comprehensive Coverage, and SafeGraph: Location Data - Global Coverage 52M+ POIs. You can compare the best GIS Data providers and products via Datarade’s data marketplace and get the right data for your use case.

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Building Footprint Data | 114M+ Building Footprint

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

InfobelPRO
InfobelPRO | Global B2B, B2C and POI Data Provider

Trusted by

Building Footprint Data | 114M+ Building Footprint

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

InfobelPRO InfobelPRO | Global B2B, B2C and POI Data Provider

Trusted by

InfobelPRO
InfobelPRO | Global B2B, B2C and POI Data Provider