Geospatial Data | Places Data | Polygon Data | GIS Data | Store Location Data | Global Coverage product image in hero

Geospatial Data | Places Data | Polygon Data | GIS Data | Store Location Data | Global Coverage

Huq Industries
5.0(3)Badge iconVerified Data Provider
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Volume
1.13M
H3 Hexbins @ Level 12 (19m)
Data Quality
77%
0.77 corr. with DCMS / British Museum visits
Avail. Formats
.json and .csv
File
Coverage
218
Countries
History
5
years

Data Dictionary

[Sample] footfall_feed_sample.csv
Attribute Type Example Mapping
datestamp
DateTime 2022-04-01T00:00:00+00:00
String cdrc-retail-centre-gb/RC_EW_2240 Location ID
String Chelmsford Location Name
String Town Centre Land Type
String East of England State Name
String 8c194e0d321bdff Placekey
Float 51.73100560752592 Latitude
Float 0.47348685058086143 Longitude
footfall_value
Float 3.026533618109024
Product Attributes
Attribute Type Example Mapping
datestamp
Date 2022-04-01
String cdrc-retail-centre-gb/RC_EW_2240 Location ID
String Chelmsford Location Name
String Town Centre Land Type
String East of England State Name
String 8c194e0d321bdff Placekey
Float 51.73100561 Latitude
Float 0.4734868506 Longitude
footfall_value
Float 3.026533618

Description

At Huq Industries, we specialise in providing precise, location-based data that offers deep insights into the commercial real estate sector. Our advanced data solutions empower professionals across the industry—whether you’re an investor, developer, broker, or researcher.
Enhance Your Location Intelligence with Huq.io: The Human Layer of GIS and Geospatial Data In the realm of spatial analysis, understanding human movement, behavior, and demographics is crucial as people shape the places they inhabit. Huq Industries offers a unique and powerful layer of GIS data and geospatial data, focusing on footfall, spend, density, catchment, and demographic insights. Our data solutions empower businesses, urban planners, and researchers with deep business intelligence to make informed decisions about locations, strategies, and operations. The Human Layer of GIS Data Huq Industries enhances traditional GIS models by integrating a human-centric layer of insights that reveal how people interact with physical spaces. Our specialized GIS data includes various types of places data and visit data that are crucial for modern spatial analysis. Our offerings include: Footfall Data: Understand the flow of people in and around specific locations. Our footfall data provides real-time and historical insights into pedestrian movement patterns, helping you identify high-traffic areas, optimize store placements, and enhance urban planning with precise polygon data. Spend Data: Gain insights into consumer spending behavior across different regions. Our spend data allows you to analyze purchasing patterns, assess the economic activity of specific areas, and tailor your business strategies accordingly. Density Data: Measure the population density of specific areas to understand how crowded or populated a location is. This data is invaluable for planning retail spaces, public infrastructure, and events, offering a detailed layer of GIS data and geospatial data. Catchment Data: Identify the geographical area from which a business, event, or public service draws its customers or users. Our catchment data helps you define your target market, optimize marketing efforts, and enhance service delivery, making it a vital part of your store location data strategy. Demographic Data: Get detailed insights into the demographic composition of different regions, including age, gender, income levels, and more. This data helps businesses and planners tailor their offerings to the specific needs and preferences of local populations. Why Choose Huq.io’s Human-Centric GIS Data? Focus on Human Dynamics: Huq.io’s GIS data is designed to provide insights into how people interact with their environments. This human layer of data is essential for understanding the true impact of location on business performance, urban planning, and social dynamics. Commercial and Mobility Insights: Our data goes beyond traditional GIS by offering insights into commercial activity and mobility patterns. This makes our data particularly valuable for businesses looking to optimize locations, urban planners seeking to improve city layouts, and researchers analyzing human behavior. The integration of visit data and polygon data enhances the granularity and usability of our datasets. Real-Time and Historical Data: Huq.io provides both real-time and historical data, allowing you to track changes over time, respond quickly to emerging trends, and plan for the future with confidence. Our store location data is continuously updated to reflect the latest trends and movements. Actionable Insights for Multiple Sectors: Whether you’re in retail, real estate, urban planning, or public services, our data provides actionable insights that can be directly applied to improve outcomes. From choosing the best location for a new store to understanding demographic shifts in a neighborhood, Huq.io’s data is a powerful tool for informed decision-making, leveraging GIS data and places data effectively. Seamless Integration: Our data integrates easily with existing GIS tools and platforms, enabling you to enhance your current data sets with our human-centric insights. This ensures that you can quickly leverage our data to improve your spatial analysis and decision-making processes, with a focus on store location data and polygon data. Applications of Huq.io’s Human Layer in GIS and Geospatial Data Huq.io’s unique blend of footfall, spend, density, catchment, and demographic data has broad applications across various industries. Here’s how different sectors can benefit from our human-centric GIS data: Retail and Commercial Planning Optimizing Store Locations: Use footfall and catchment data to identify high-traffic areas with a strong customer base, ensuring your store locations are primed for success. Our store location data is essential for making informed decisions. Tailoring Marketing Strategies: Leverage demographic and spend data to design marketing campaigns that resonate with the local population, driving engagement and sales. Places data plays a key role in targeting the right audience. Assessing Competitor Landscape: Analyze footfall and spend data to understand the competitive environment and identify opportunities to capture market share. Use polygon data to map and visualize competitive areas effectively. Urban Planning and Development Enhancing Public Spaces: Use density and footfall data to design public spaces that meet the needs of the community, ensuring accessibility and usability. GIS data from Huq.io supports smart urban planning decisions. Transport and Mobility Planning: Leverage mobility and visit data to optimize public transport routes and infrastructure, improving connectivity and reducing congestion. Sustainable Development: Integrate demographic data with traditional GIS to plan developments that cater to the evolving needs of urban populations, using polygon data to define project boundaries and impacts. Real Estate and Property Management Site Selection: Utilize footfall, catchment, and demographic data to choose the best sites for new developments, ensuring they align with market demand. Store location data is critical for identifying prime real estate opportunities. Property Valuation: Analyze spend and density data to assess property values and forecast future trends in different areas. Geospatial data provides a robust foundation for accurate valuations. Tenant Mix Optimization: Use demographic data to curate a tenant mix that appeals to the local population, maximizing occupancy and profitability, with places data helping to define the ideal tenant profiles. Public Services and Infrastructure Resource Allocation: Apply catchment and density data to allocate public resources efficiently, ensuring they reach the areas of greatest need. GIS data helps visualize and optimize resource distribution. Emergency Planning: Use real-time footfall and density data to plan for emergencies, ensuring safe and effective responses in densely populated areas. Visit data provides insights into peak population movements. Community Engagement: Leverage demographic data to tailor public services and outreach programs to the specific needs of different communities, using polygon data to define service areas. Why Huq.io is Your Partner in Human-Centric GIS and Geospatial Data Huq Industries is dedicated to providing data solutions that bring the human element into spatial analysis. Our focus on footfall, spend, density, catchment, and demographic data offers a unique perspective that complements traditional GIS data, providing a fuller picture of how people interact with physical spaces.

Country Coverage

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 (2)
Australia
New Zealand
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.)

History

5 years of historical data

Volume

2,740 CDRC Retail Centres (UK)
1.13 million H3 Hexbins @ Level 12 (19m)

Pricing

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

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
77%
0.77 corr. with DCMS / British Museum visits
85%
0.85 corr. with Walmart sales data
81%
0.81 corr. with Petco sales data
83%
0.83 corr. with Boot Barn sales data

Delivery

Methods
S3 Bucket
Frequency
daily
Format
.json
.csv

Use Cases

Categories

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Frequently asked questions

What is Geospatial Data Places Data Polygon Data GIS Data Store Location Data Global Coverage?

At Huq Industries, we specialise in providing precise, location-based data that offers deep insights into the commercial real estate sector. Our advanced data solutions empower professionals across the industry—whether you’re an investor, developer, broker, or researcher.

What is Geospatial Data Places Data Polygon Data GIS Data Store Location Data Global Coverage used for?

This product has 5 key use cases. Huq Industries recommends using the data for Real Estate Analytics, Real Estate Investment, Real Estate Intelligence, Real Estate Insights, and Asset Tracking. Global businesses and organizations buy Store Location Data from Huq Industries to fuel their analytics and enrichment.

Who can use Geospatial Data Places Data Polygon Data GIS Data Store Location Data Global Coverage?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Store Location Data. Get in touch with Huq Industries to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Geospatial Data Places Data Polygon Data GIS Data Store Location Data Global Coverage go?

This Data Feed has 5 years of historical coverage. It can be delivered on a daily basis.

Which countries does Geospatial Data Places Data Polygon Data GIS Data Store Location Data Global Coverage cover?

This product includes data covering 218 countries like USA, China, Japan, Germany, and India. Huq Industries is headquartered in United Kingdom.

How much does Geospatial Data Places Data Polygon Data GIS Data Store Location Data Global Coverage cost?

Pricing information for Geospatial Data Places Data Polygon Data GIS Data Store Location Data Global Coverage is available by getting in contact with Huq Industries. Connect with Huq Industries to get a quote and arrange custom pricing models based on your data requirements.

How can I get Geospatial Data Places Data Polygon Data GIS Data Store Location Data Global Coverage?

Businesses can buy Store Location Data from Huq Industries and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Huq Industries can deliver this product in .json and .csv format.

What is the data quality of Geospatial Data Places Data Polygon Data GIS Data Store Location Data Global Coverage?

Huq Industries has reported that this product has the following quality and accuracy assurances: 85% 0.85 corr. with Walmart sales data, 83% 0.83 corr. with Boot Barn sales data, 81% 0.81 corr. with Petco sales data. You can compare and assess the data quality of Huq Industries using Datarade’s data marketplace. Huq Industries has received 3 reviews from clients. Huq Industries appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? June Edition.

What are similar products to Geospatial Data Places Data Polygon Data GIS Data Store Location Data Global Coverage?

This Data Feed has 3 related products. These alternatives include Xtract.io - Store Location Data Polygon Data Park and Ride Locations in US and Canada, SafeGraph: Location Data - Global Coverage 52M+ POIs, and The Data Appeal GIS Data Places Data Store Location Data Business Location Data 200 Million + POI Data Mapped API, Dataset. You can compare the best Store Location 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

Huq Industries

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