What is Point of Interest (POI) Data? Examples, Providers & Datasets to Buy
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Point of Interest (POI) Data?
POI data refers to specific locations or landmarks that are of interest to individuals or businesses. POI data is used in mapping and navigation applications to provide users with relevant and nearby points of interest.
What Are Examples of Point of Interest (POI) Data?
Examples of Point of Interest (POI) data include information about restaurants, hotels, gas stations, tourist attractions, and shopping centers. Point of Interest Data is used for various purposes such as navigation, location-based services, marketing analysis, and urban planning. Key examples include:
- Location Coordinates: E.g., Central Park in New York City (40.785091, -73.968285).
- Business Details: E.g., Starbucks, 123 Main Street, Seattle, WA, USA, Phone: (206) 555-1234.
- Category Information: E.g., Hyatt Regency, Chicago: Hotel.
- Hours of Operation: E.g., Museum of Modern Art (MoMA): 10:30 AM - 5:30 PM (Closed on Tuesdays).
- Amenities and Features: E.g., Mall of America: Parking garage, family restrooms, and electric vehicle charging stations.
Editor's Pick
Featured datasets
The Data Appeal | Point of Interest (POI) Data | API, Dataset | 200 Million+ POI Data Mapped | Measure Sentiment and Customer Experience
Point of Interest (POI) Data | Global Location Data | 6M+ POIs | Retail & Pharmacy Store Locations | Restaurants & Shopping Malls Location Data
Factori Point of Interest (POI) Data | Global Coverage | 14M+ POIs
Best Point of Interest (POI) Databases & Datasets
The best POI datasets provide accurate information about location attributes, business details, and visitor trends. This curated list features the top POI datasets, selected for quality, precision, and trusted providers.
Germany Point of Interest (POI) Data
Global POI/ Point of Interest Data
Point of Interest (POI) Data | Known Polygon Search
Shopper Data | Malls & Shopping Centers in US | Point-of-Interest (POI) Analysis
Point of Interest (POI) Dataset | Global Coverage | 52M+ Places
The Data Appeal | Point of Interest (POI) Data | API, Dataset | 251M Global POI Data | Coverage from 2019
Factori AI & ML Training Data | Point of Interest Data (POI) | Global | Machine Learning Data
Indonesia Point of Interest (POI) Data
POI/ Point of Interest Data Europe
Point-of-Interest (POI) Data | Cannabis Store Locations in US | Comprehensive Market Insights
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Top Point of Interest (POI) Data Providers & Companies
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dataplor
CoverageUSAUnited Kingdom+247VMy firm decided to make the switch over to dataplor from a manual data collection effort once we saw measurable lift in accuracy, coverage, and cost-savings. Their resolution was far beyond what we could achieve on our own, and we no longer had to juggle the labor-intensive process of duplicates, new places, and pulling in updates. We now have a reliable stream of data in difficult markets that is high-fidelity and always current. And because they are global, adding new datasets is a breeze.
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The Data Appeal Company
CoverageUSAUnited Kingdom+247VThe Data Appeal Company is a helpful partner. Their AI-driven datasets provide a comprehensive global view across industries. Their data fuels informed decisions and optimizes performance. It's a quietly powerful tool for businesses looking to stay ahead, offering a seamless customer experience and unmatched reliability. In a nutshell, it's the edge you need without the fanfare. Highly recommended for those serious about staying competitive. A solid 5 stars.
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Echo Analytics
CoverageUSAUnited Kingdom+47VThe recent webinar by Echo on their data collection process was excellent, very well explained and lucid. I understood how complex the process is to clean the data. Their product is a really interesting one.
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SafeGraph
CoverageUSAUnited Kingdom+248VWe are using safegraph data to research on the foot traffic of airports in the U.S. We find it very helpful with lots of documentation. The customer support is awesome. You can post in the slack channel and got a response very quickly
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Veraset
CoverageUSAUnited Kingdom+235Rebranded in 2019, we are a leader in location data, providing raw and pre-processed population movement datasets. We fuel innovation and empower...100%Country & StateData
Popular Use Cases for Point of Interest (POI) Data
POI data supports a variety of applications in business, navigation, and urban planning. Common use cases include location-based marketing, where businesses target ads to nearby customers using POI data, and navigation services, enhancing maps with detailed location data.
- Location-based Marketing: Deliver tailored promotions and campaigns to customers near specific locations.
- Geofencing: Create virtual boundaries to trigger notifications or actions when users enter or exit predefined areas.
- Location-based Advertising: Provide personalized ads based on proximity to points of interest.
- Location Intelligence: Analyze POI data to support strategic decisions and business planning.
- Out-of-home (OOH) Advertising: Optimize billboard placements using traffic and demographic data.
- Urban Mobility Analysis: Enhance transportation planning and improve infrastructure development.
- Foot Traffic Analytics: Gain insights into visitor patterns and customer behavior at specific locations.
- Footfall Attribution: Measure the effectiveness of campaigns or physical locations by tracking foot traffic data.
Main Attributes of Point of Interest (POI) Data
The attributes of POI data, like many other types of geospatial data, can vary depending on the specific dataset or database. Some common attributes include the name of the POI, its address, geographical coordinates (latitude and longitude), category or type of the POI (e.g., restaurant, museum), contact information (phone number, website), opening hours, ratings or reviews, and additional descriptive information. Other attributes may include amenities, photos, accessibility features, and user-generated content.
Here’s a table of the main attributes you might find in Point of Interest (POI) datasets:
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 288 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 198 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 191 datasets | |
| String | The phone number of a contact or organization. | View 181 datasets | |
| String | The name of a city. | View 167 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 167 datasets |
How is Point of Interest (POI) Data Collected?
Information on a point of interest, such as its address and coordinates, can be sourced from:
- Websites: Business websites, restaurant websites, event pages.
- Social media: User-generated content, Facebook check-ins, Instagram location tags, X posts.
- Government databases: Local business registries, official records, map data.
- Open platforms: Digital maps that aggregate extensive location data like Google Maps.
- Real-world data collection: On-site surveys, GPS tracking, physical inspections.
Frequently Asked Questions
How Accurate Are POI Data?
The accuracy of POI data can vary, depending on the data source and the provider’s methods for collecting and verifying the information. Reputable providers use validation techniques like ground truth verification, cross-referencing multiple data sources, and incorporating user feedback to ensure high levels of accuracy. If accuracy is essential for your project, we recommend selecting providers that have multiple methods of data validation.
How Frequently Are POI Data Updated?
The update frequency for POI data can range from real-time updates to monthly or quarterly, depending on the provider and the type of data. For applications that require up-to-the-minute information, like navigation or retail analytics, real-time updates are ideal. If you’re working on long-term projects, monthly updates may suffice.
How Are POI Data Priced?
The pricing for POI data depends on several factors, such as the geographic coverage, level of detail, and licensing terms. Common pricing models include subscription plans, volume-based pricing (charging per number of POIs or API calls), or one-time purchases. Some providers offer custom pricing based on your specific needs. We suggest comparing several providers on Datarade and reviewing the available pricing models to find the best fit for your budget.
Can I Combine POI Data with Other Geospatial Data?
Yes! POI data can be integrated with other geospatial datasets, such as demographic data, transportation networks, or satellite data, to provide a more comprehensive analysis. This combination can give you deeper insights into location-based trends and help you build more powerful applications. For example, combining POI data with traffic data can enhance real estate evaluations or urban planning projects.
Can I Contribute to Improving the Accuracy of POI Data?
Yes, many platforms allow users to contribute to improving the accuracy of POI data by submitting corrections or adding missing locations. Some providers rely on user feedback or crowdsourced data to keep their datasets up-to-date. If you’re using a platform that supports user contributions, participating in this process can help improve the data’s overall quality for everyone.
Are There Legal Considerations When Using POI Data?
Yes, It’s important to consider legal aspects when using POI data. Ensure compliance with the data provider’s licensing agreements, which may include restrictions on data usage. Additionally, when handling personal data (such as user reviews or contact information), make sure to comply with privacy regulations like GDPR. We recommend reviewing the provider’s usage terms on their Datarade profile.
How Do I Choose the Right POI Data for My Needs?
Choosing the right POI data depends on factors like geographic coverage, the level of detail needed, update frequency, and pricing. It’s also helpful to evaluate user reviews and sample datasets to ensure the data fits your specific use case. We suggest taking advantage of our free data samples feature when available to assess the quality before making a decision.
