Places Dataset

Your Trusted Source for

Global Places Dataset.

Global Reach: Access over 164M+ places across 220 countries, offering unparalleled coverage for diverse business applications.
Decades of Expertise: Over 30 years of experience in delivering premium, reliable, and well-curated datasets.
Trusted Reliability: Continuously validated data from authoritative sources to ensure data accuracy and relevance.
In-Depth Details: The cleanest places dataset, complete with actionable attributes like location, category, operational details and more.
AI-Enhanced Precision: Cutting-edge AI refines place data, ensuring accuracy through deduplication and advanced attribute enrichment.
Seamless Standardization: Organized using globally recognized classifications for easy integration and consistency in operations.

164M+

Global Places

360M+

Businesses

3500

Business Categories

220

Countries

PLACES Data

Geospatial data refers to information that is linked to a specific geographic location. It includes attributes such as latitude, longitude, building dimensions, street segments, and various other location-related details. This type of data facilitates easy visualization through maps and Geographic Information Systems (GIS). Geospatial data is crucial for applications in navigation, environmental monitoring, infrastructure development, and business intelligence.

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Location intelligence data refers to insights gained from analyzing geographic information, allowing businesses to make decisions based on location-based trends and patterns. This data includes attributes like geolocation coordinates and demographics.

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POI data covers specific locations of public interest, such as banks, restaurants, hotels, schools, shops, hospitals, and more. Each point of interest is categorized into 3500 distinct groups and enriched with over 50 detailed attributes. These include essential information like name, address, opening hours, reviews, languages spoken, contact details, social media profiles, and more—offering a comprehensive view of each location.

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Building footprints represent the exact geometric boundaries of a building (physical structure) linked to a specific point of interest. These datasets provide precise details such as the building's size, shape, and foundation location, including longitude, latitude, geocoding level, and more. Essential for creating polygons, building footprints play a key role in mapping, geospatial analysis, urban planning, navigation, disaster management, and various other applications.

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Polygons go beyond representing the footprint of a building, encompassing entire facilities or additional areas associated with a location. They define geographic boundaries on a map, outlined by a series of connected points. Polygons provide broader context, representing areas such as car parks, parks, or zones surrounding businesses. This data enables organizations to analyze relationships between points of interest and their larger geographic environments, supporting applications like mapping, spatial analysis, and urban planning.

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CUSTOM PLACES DATASETS

Examples of Use Cases.

1) Optimized Commuting with Real-Time Traffic Updates
A navigation app leverages Places data and live traffic conditions to direct commuters along the fastest routes. By incorporating geolocation and incident reports, it minimizes delays and enhances travel accuracy.

2) Personalized Travel Assistance
A navigation platform utilizes Places data to recommend nearby attractions, dining options, and landmarks. With categorized venues and detailed footprints, users can discover locations tailored to their preferences with ease.

3) EV Charging Station Locator
An EV-focused navigation app integrates Places data to pinpoint nearby charging stations. Key attributes like charging speed, availability, and customer ratings ensure drivers find suitable options while reducing range anxiety.

1) Disaster Preparedness and Risk Mapping
Government agencies utilize geospatial data to identify areas vulnerable to floods, earthquakes, and wildfires. By mapping risk zones, they can allocate resources effectively and enhance emergency response strategies.

2) Targeted Public Health Initiatives
Healthcare organizations employ geospatial analysis to track disease outbreaks and vaccination rates across regions. This enables them to focus medical resources and awareness campaigns in underserved communities.

3) Optimized Agricultural Land Use
Agribusinesses analyze geospatial data to assess soil quality, climate patterns, and water availability. This data-driven approach enhances crop planning, boosts productivity, and reduces operational costs.

1) Streamlined Delivery Operations
A logistics company leverages Places data to chart delivery points across urban and rural areas. By integrating geolocation and building footprint information, they optimize delivery routes, reduce transit times, and enhance fuel efficiency.

2) Strategic Market Positioning
A quick-service restaurant uses Places data to analyze competitor locations and customer foot traffic patterns. With insights into nearby businesses and local demographics, they adjust their menu offerings and pricing strategies to gain a competitive edge.

3) Enhanced Urban Development
Local governments utilize Places data to assess the distribution of public facilities like schools, hospitals, and parks. This enables them to identify underserved neighborhoods and plan infrastructure investments that improve services for residents.

1) Accurate E-Commerce Deliveries
An online retailer employs address validation to verify customer shipping details and correct errors in real time. This reduces undeliverable packages, lowers return rates, and enhances overall customer satisfaction.

2) Compliance in Financial Services
Banks leverage address validation during onboarding to meet regulatory standards like Know Your Business (KYB). Verified addresses minimize fraud risk, ensure compliance, and simplify the account setup process.

3) Efficient Courier Operations
A logistics company integrates address validation to verify delivery points before generating optimized routes. Accurate address data saves resources, reduces delivery times, and boosts successful delivery rates.

1) Optimizing Retail Store Locations
A global fashion retailer leverages places data to evaluate potential store locations. By analyzing competitor density, local customer demographics, and foot traffic trends, they pinpoint high-demand areas with strong revenue potential.

2) Strategic Placement for Quick Service Restaurants
A QSR chain uses places data to identify franchise locations near busy hubs like shopping centers, schools, and major roads. Insights into competitor proximity and neighborhood profiles help ensure maximum profitability and customer reach.

3) Efficient Warehouse Placement for E-Commerce
An e-commerce company utilizes places data to position warehouses close to transportation networks, population clusters, and distribution hubs. Factoring in building footprints and geolocation details, they reduce shipping costs and improve delivery speed.

Leading Industries Transforming Operations with our Places Datasets

Frequently asked questions

What is Places data?

Places data — also known as POI (Point of Interest) data — refers to detailed information about specific physical locations, such as businesses, landmarks, public facilities, and other relevant sites. Each place includes attributes such as its name, address, geographic coordinates, category (e.g., restaurant, pharmacy, bank), opening hours, and other metadata like brand affiliation or accessibility features.
This geospatial data is essential for powering location-based services, maps, and business intelligence tools.

How do businesses use Places data?

Businesses leverage Places data for a variety of strategic and operational purposes. Common use cases include digital mapping, store locator applications, location-based advertising, market research, territory planning, and delivery route optimization. For example, a retail chain may analyze consumer density and nearby competitors before opening a new location.
A logistics company might use it to improve last-mile delivery accuracy. If you're looking to buy POI data curated for your industry, our datasets can help you make informed, location-driven decisions.

What are the key attributes of Places data?

Key attributes of Places data typically include:
Place name and brand
Full address and postal code
Latitude and longitude (GPS coordinates)
Business category and subcategory
Opening hours and days of operation
Contact details (phone number, website, etc.)
Additional metadata such as building footprint, accessibility, or customer ratings
These structured attributes support high-accuracy mapping, analytics, and AI-driven location models.

Can our Places dataset be customized?

Yes, Places datasets can be fully customized to fit your business needs. You can filter by region, country, city, or postal code level; select specific categories (e.g., only healthcare facilities or automotive businesses); or choose only the attributes that matter to you. This tailored approach ensures that the data is both relevant and actionable for your specific use case — whether it’s territory analysis, competitor tracking, or app development.

Is our Places data updated on a regular basis?

Absolutely. Our Places data is updated in near real-time to ensure maximum accuracy and relevance. We track changes such as new business openings, closures, relocations, rebrandings, and changes in contact or operational details. Thanks to automated verification methods and human review processes, our POI data remains one of the most reliable sources available for location-based applications.

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164 million Global Places

Your Trusted Source for

Global Places Dataset.

PLACES Data

Geolocation Data

Location Intelligence

POI data

Building Footprints

Polygons

Geolocation Data

Location Intelligence

POI data

Building Footprints

Polygons

CUSTOM PLACES DATASETS

Examples of Use Cases.

Navigation Tools

Spatial Analysis

Mapping

Address Validation

Site Selection

Newest blogs.