The Points Of Interest points are a compilation of what the different city agencies consider to be a Common Place or Place/Point of Interest. Previously posted versions of the data are retained to comply with Local Law 106 of 2015 and can be provided upon request made to Open Data.

dataplor's Global Point of Interest (POI) Dataset provides expansive location and detailed geographic data used by businesses worldwide to enhance their operational strategies.

dataplor’s POI data offers a rich set of 55+ attributes that provide in-depth insights into each location. Key data attributes include:

• Business name
• Business Category
• Product Category
• Address
• Latitude and longitude
• NAIC
• SIC
• H3 Index
• Phone number
• Website
• Opening hours

The size and share of the market is categorized based on Application (Commercial Use, Industrial Use, Public Utilities, Other) and Product (Database Platform, Modular Customized Reports) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

Echo’s POI dataset delivers commercial point-of-interest data with high coverage and accuracy, empowering businesses with location intelligence for competitive benchmarking, site selection, and market analysis.

Curated with a strong focus on brand-level detail, our 82M+ POI dataset spans retail, food & dining, financial services, and other key sectors. Each POI includes rich metadata, such as opening hours, parent brand, and web presence — enabling a comprehensive view of the physical commercial landscape.

Key data points include: - POI name, category, and subcategory - Address, city, region, and coordinates - Opening hours, phone number, website - Parent brand and organization hierarchy - Over 100 business categories

POI data covering Europe, North America, and Latin America, this dataset supports use cases such as retail expansion, competitive intelligence, territory planning, and data enrichment for analytics platforms.

Also known as place names. The dataset contains locations and attributes of address alias points, created as part of the Master Address Repository (MAR) for the Office of the Chief Technology Officer (OCTO) and participating DC government agencies. It contains address alias names in the District of Columbia which are typically placed on buildings. These alias names represent named features such as: - Schools - Federal Buildings - Military Installations - Hospitals - Museums - Monuments - University Structures - Fire and Police Stations - Libraries - Metro Facilities - Historical Landmarks - Recreation Centers - Mile Markers - Marinas and more. More information on the MAR can be found at https://opendata.dc.gov/pages/addressing-in-dc. The data dictionary is available: https://opendata.dc.gov/documents/2a4b3d59aade43188b6d18e3811f4fd3/explore. In the MAR 2, the AddressAliasPt is called PLACE_NAMES_PT and features additional useful information such as created date, last edited date, begin date, and more.

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

tags['amenity'] IS NOT NULL OR tags['man_made'] IS NOT NULL OR tags['shop'] IS NOT NULL OR tags['tourism'] IS NOT NULL

Features may have these attributes:

• name
• name:en
• amenity
• man_made
• shop
• tourism
• opening_hours
• beds
• rooms
• addr:full
• addr:housenumber
• addr:street
• addr:city
• source
• name:th

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

The Points of Interest (POI) web service provides the identification and location of a feature, service or activity that people may want to see, know about or visit. POI features for this service are primarily derived from features maintained within the Digital Topographic Database (DTDB). The POI feature class is maintained programmatically (automated) by sourcing spatial and aspatial attributes from other feature classes in the DTDB that contain POI features. The midpoint of a line or polygon features is used to define the POI. Points of Interest include features related to Community, Education, Recreation, Transportation, Utility, or Hydrography, Physiography and Place, and defined as a place with a prescribed name. The attribute information for an individual dataset may have been thinned or modifed to cater for the service. The service is available in a cached environment only. This dataset is compliant with the NSW FSDF and its specifications. For details information for each individual dataset contained in this web services.

NOTE: Please contact the Customer HUB https://customerhub.spatial.nsw.gov.au/ for advice on datasets access.

This point of interests dataset was extracted from OpenStreetMap (OSM) across the geographic area of Australia on 05 August 2020. Its purpose is to display points within Australia which people may find of interest, this is not limited to major landmarks and include simple amenities. Note, however, as this dataset is built by a community of mappers, there is no guarantee of its spatial or attribute accuracy. Use at your own risk. For more information about the map features represented in this dataset (including their attributes), refer to the OpenStreetMap Wiki and the Points of Interest. Please note: The original data for this dataset has been downloaded from Geofabrik on 05 August 2020.

Xtract.io offers comprehensive POI and Polygon data, featuring 6 million locations across 11 industries. With global coverage and detailed geospatial data, get custom polygons drawn for the points of interest you choose.

Techsalerator covers all POI's (Point of Interest) of businesses in United States of America. Through our diligent local sourcing, we are able to provide location of businesses in United States of America.

This include: address/Zip Code/ County / State/ Country + Lat/Long.

Companies utilize our POI's to enhance their publishing universe, do geo-mapping and to create identity graphs.

Our unparalleled combination of points-of-interest (POI) data enriched with Sentiment and Foot Traffic Data KPIs will empower your decision making. We provide the most accurate and comprehensive POI / Location data, enriched with Business Listings Data and customer insights.

This data is maintained by the Spatial Services Spatial Data Services. If you have any questions with regards to this dataset, please contact SS-SDS@customerservice.nsw.gov.au The NSW Points of Interest (POI) web service allows users to search for and identify the location of features that people may want to see on a map, know about or visit. POI features are derived from features maintained within multiple themes of the NSW Foundation Data Framework (FSDF). The features included in the NSW POI web service are: community, education, medical, recreation, transportation, utility, hydrography, physiography and place. Click on "Go to Resource" to view the data source.

Massive POI dataset covering 3.5 million locations across multiple industries in US and Canada. Includes automotive, retail, food and dining, healthcare, education, and more. Essential for comprehensive market analysis and strategic planning across various sectors.

Techsalerator covers all POI's (Point of Interest) of businesses in France. Through our diligent local sourcing, we are able to provide location of businesses in France.

This include: address/Zip Code/ County / State/ Country + Lat/Long.

Companies utilize our POI's to enhance their publishing universe, geo-mapping and to create identity graphs.

PTV Points of Sale contains PoS data in 16 categories for almost 350,000 PoS locations in Germany alone. A point of sale is the location a sale takes place: From the consumer's perspective it is where the item was purchased and from the provider's perspective it is where the item was sold.

This dataset contains a description and co-ordinates of places of interest within the City of Melbourne.

Themes include: Community Use, Education Centre, Health Services, Leisure/Recreation, Mixed Use, Office, Place Of Assembly, Place of Worship, Purpose Built, Retail, Transport, Vacant Land

Sub-themes include: Art Gallery/Museum, Church, Function/Conference/Exhibition Centre, Informal Outdoor Facility (Park/Garden/Reserve), Major Sports & Recreation Facility, Office, Public Buildings, Public Hospital, Railway Station, Retail/Office/Carpark, Tertiary (University), Theatre Live

The Points of Interest (POI) Dataset is a digital representation of the physical geographic and commercial features across all of Santa Clara County. This dataset aims to provide accurate location information in the map. Sources: Info USA (2010), California Department Of Education (2016), Santa Clara County Combined data (2016).

The global Points-of-Interest (POI) Data Solutions market is expected to exhibit a remarkable growth trajectory, with a CAGR of XX% during the forecast period of 2025-2033. This market is projected to reach a substantial value of XXX million by 2033, indicating its promising growth prospects. The expansion of this market is primarily driven by the increasing demand for accurate and comprehensive POI data from various industries, including retail, real estate, and transportation. The rise of location-based services and the proliferation of mobile devices have further spurred the demand for reliable POI data to enhance user experiences and provide customized recommendations. Key growth drivers for the POI Data Solutions market include the increasing adoption of smartphones and location-based technologies, the rising demand for data-driven decisions in businesses, and the need for real-time information for navigation and exploration. However, the market may face challenges such as data privacy concerns, the availability of free and open-source POI data, and the dependence on third-party data sources for accuracy and completeness. The market is expected to be dominated by North America and Europe, with a significant presence of major players such as Google Cloud, Factual, and HERE Technologies. Asia Pacific is projected to experience notable growth due to the increasing smartphone penetration and the rapid development of smart cities in the region.

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

tags['amenity'] IS NOT NULL OR tags['man_made'] IS NOT NULL OR tags['shop'] IS NOT NULL OR tags['tourism'] IS NOT NULL

Features may have these attributes:

• name
• name:en
• amenity
• man_made
• shop
• tourism
• opening_hours
• beds
• rooms
• addr:full
• addr:housenumber
• addr:street
• addr:city
• source
• name:ga

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Access meticulously curated and up-to-date data precisely aligned with your business objectives. Explore the advantages of our Business Location Data, Location Data, Point of Interest (POI) Data, and Map Data by connecting with our experts.