20260521 18590500 1.0 FALSE Hospital -1371742.216806 970688.022865 79230.534168 2472309.546885 1 002 Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) NAD_1983_HARN_StatePlane_Florida_East_FIPS_0901_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>PROJCS[&quot;NAD_1983_HARN_StatePlane_Florida_East_FIPS_0901_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,656166.6666666665],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-81.0],PARAMETER[&quot;Scale_Factor&quot;,0.9999411764705882],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.33333333333333],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2881]]</WKT><XOrigin>-17791300</XOrigin><YOrigin>-41645400</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2881</WKID><LatestWKID>2881</LatestWKID></ProjectedCoordinateSystem> 20260515 09043500 20260519 16253600 150000000 5000 FGDC dataset NAVTEQ Technical Customer Support 312-894-7000 425 W Randolph Street Chicago IL 60606 tcs@navteq.com 20260519 ArcGIS Metadata 1.0 NAVTEQ 312-894-7000 425 W Randolph Street Chicago IL 60606 US DataRequestNA@navteq.com Contact NAVTEQ Sales for most current pricing information. Call 312-894-7000 ESRI Shape File and supplemental documentation packaged as sets of .tar and .tar.gz compressed coverage area folders. For data packaging and delivery, these NAVTEQ coverage areas are organized using 3 world areas including: Americas, Asia Pacific (APAC), and Europe, Middle East, Africa (EMEA). ArcGIS 9.x https://navteq.subscribenet.com requiring username and password as issued to customer by NAVTEQ. Immediate, easy, and secure download access for data and documentation through NAVTEQ's B2B website is the preferred data delivery method. NAVTEQ customers also receive email notification when new releases or updates become available for data and documentation. NAVTEQ File: Hospital, in ESRI Shape File format. NAVTEQ data folders are organized using a 4-5 level hierarchy. The 1st level consists of 3 global areas including 1) The Americas, 2) Asia-Pacific (APAC) and 3) Europe, The Middle East, and Africa (EMEA). These 3 global areas are then divided into approximately 60 2nd level areas as countries, e.g., Argentina, regions within a country, e.g., North America DCA7, or several countries together, e.g., Spain and Portugal. The 3rd level folders correspond to a specific year and quarter release date, e.g., 2009Q4. The 4th and 5th level folders use NAVTEQ's standard product file naming. The standard product file folder name will comprise up to 17 capitalized alphanumeric characters in the following format: RRCCYYQVVAAABBB.ZZ where RR = Sub Region Code, CC = Clipping/Merge Code, YY = Year Code, Q = Year Quarter, VV = version, AAA = Region Identification, BBB = Product Identification Code, and ZZ = compression method. In some cases, the data files for a NAVTEQ coverage area will be packaged in a single country folder, e.g., Thailand, in other cases, multiple sets of data files for a country will be packaged as multiple sub region folders under a single top level grouping folder, e.g., France. NAVTEQ NAVSTREETS is comprised of approximately 40 GIS layers and 30 related dbf tabular datasets. Prior to Q4 2009, the related tabular datasets were packaged as empty shapefiles with only the dbf files containing data. As of Q4, 2009, these related tabular datasets are no longer packaged as empty shapefiles and are now delivered as single dbf files. For fully describing the entity and attribute information contained in these dbf only tabular datasets, NAVTEQ does provide FGDC metadata files, and describes them using an FGDC Vector Type of Point. For areas of the world using non Latin-1 (ISO-8859-1) character sets for local language representation, NAVTEQ provides supplemental matching Unicode (UTF-8) based or "look-aside" files for many dataset attributes. When Unicode based data is available for a NAVTEQ coverage area, it will be packaged into a separate and complete NAVTEQ coverage area folder using a different Product Identification Code. This folder will contain both the main Latin-1 based and the supplemental Unicode files. The Unicode based data files will be found in the LAT subfolder, and named with .uni file extension. Empty Layers Note: Layers such as WaterWys, Adminbndy3, Adminbndy4, and MajHwys, MajHwyShield, various POI layers, etc., could potentially be empty, depending on the coverage and regional inclusion of the data. In addition, depending upon the situation, the layersAdminBndy1 and AdminBndy2 can be empty as a result of cases where regional divisions of NAVTEQ products do not align with real-world geo-political boundaries. To help users get started with viewing and using layers and data tables, as of Q4, 2009, NAVTEQ also provides an ArcGIS/ArcMap.mxd, and an MXD_Readme.txt file, located in the Region folder containing the ESRI Shapefiles. NAVTEQ data can also be used with other GIS software including MapInfo and is available in a variety of other formats including RDF (Relational Data Format), GDF (Geographic Data Format), SIF+ (Standard Interchange Format), POI XML, and ODF (Oracle Delivery Format). http://NAVTEQ.com Feature Class Hospitals 2026-04-01T00:00:00 NAVTEQ Vector digital data NAVTEQ NAVSTREETS, available for 77 countries on 6 continents, is organized into 4 categories of geospatial data layers and related tabular datasets including 1) Road Features and Associated Navigation Information, 2) Points of Interest (POIs), 3) Administrative Areas and Other Cartography, and 4) Metadata. These datasets include Streets, Major Highways, Secondary Highways, Signs, Driving Conditions, Traffic, Travel Destinations, Parking, Named Places, Auto Maintenance, Service, and Petrol, Hospitals, Restaurants, Shopping, Business Facilities, Entertainment, Financial Institutions, Educational Institutions, Transportation Hubs, Border Crossings, Parks and Recreation, Community Service Centres, Country, State, and other Administrative Areas, Buildings, Landmarks, Railroads, Land Use, Waterways, Islands, and Oceans, and other related information. NAVTEQ global map data includes approximately 19 million roadway miles (over 30.5 million kilometers) and over 40 million POIs in approximately 50 categories. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>NAVTEQ's Hospitals for Detailed Coverage Area 9: Alabama, Florida, Georgia, South Carolina, and Parts of North Carolina - The Hospitals layer contains facilities within a NAVSTREETS coverage area that provide inpatient and emergency care for people. This layer is used for destination selection, geocoding, and map visualization. Note that a Hospital is represented by multiple point objects when it has names in multiple languages. This NAVTEQ dataset is released on a Quarterly basis. This dataset is a subset of the full NAVTEQ NAVSTREETS database.</SPAN></P><P><SPAN>With the most accurate geometry, the highest number of attributes, and the most complete detailed coverage, NAVTEQ data is the ideal resource for Fleet applications that offer route planning and optimization, and GIS geocoding and other applications that require superior accuracy, and location-enabled services, from Personal Navigation Devices (PNDs) and mobile social networking, to location-enabled entertainment, leisure, and business applications. Products, applications, and services that rely on digital mapping data can ensure superior performance and accuracy by using NAVSTREETS. NAVTEQ data drives most in-vehicle navigation systems around the world, the top routing Web sites, and the leading brands of wireless devices. Designed for rapid display and retrieval of attributes for routing, NAVTEQ data additionally provides support for express mail services, emergency and government routing plans, efficient field service management, wireless Location Based Services (LBS), and delivery of real-time traffic information.</SPAN></P></DIV></DIV></DIV> Q2 2026 NAVTEQ's Hospitals - The Hospitals layer contains facilities within a NAVSTREETS coverage area that provide inpatient and emergency care for people. This layer is used for destination selection, geocoding, and map visualisation. This dataset is a subset of the full NAVTEQ NAVSTREETS database. NAVTEQ incorporates and enhances data from a number of local governments, utility companies, other public agencies, and commercial mapping agencies in building its final products. NAVTEQ Technical Customer Support 312-894-7000 425 W Randolph Street Chicago IL 60606 tcs@navteq.com Detailed Coverage Area 9: Alabama, Florida, Georgia, South Carolina, and Parts of North Carolina ISO 19115 Topic Category location geocoding NAVTEQ navigation routing roadmap geocoding NAVTEQ navigation Florida routing location roadmap hospitals emergency care urgent care This data can only be distributed to NAVTEQ customers, as detailed specifically in NAVTEQ licensing terms and agreements. Access to this data is allowed only to NAVTEQ customers, as detailed specifically in NAVTEQ licensing terms and agreements. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This data can only be used by NAVTEQ customers, as detailed specifically in NAVTEQ licensing terms and agreements.</SPAN></P></DIV></DIV></DIV> NAVTEQ NAVSTREETS, available for 77 countries on 6 continents, is organized into 4 categories of geospatial data layers and related tabular datasets including 1) Road Features and Associated Navigation Information, 2) Points of Interest (POIs), 3) Administrative Areas and Other Cartography, and 4) Metadata. These datasets include Streets, Major Highways, Secondary Highways, Signs, Driving Conditions, Traffic, Travel Destinations, Parking, Named Places, Auto Maintenance, Service, and Petrol, Hospitals, Restaurants, Shopping, Business Facilities, Entertainment, Financial Institutions, Educational Institutions, Transportation Hubs, Border Crossings, Parks and Recreation, Community Service Centres, Country, State, and other Administrative Areas, Buildings, Landmarks, Railroads, Land Use, Waterways, Islands, and Oceans, and other related information. NAVTEQ global map data includes approximately 19 million roadway miles (over 30.5 million kilometers) and over 40 million POIs in approximately 50 categories. 2015-04-01 NAVTEQ Vector digital data http://NAVTEQ.com NAVTEQ NAVSTREETS, available for 77 countries on 6 continents, is organized into 4 categories of geospatial data layers and related tabular datasets including 1) Road Features and Associated Navigation Information, 2) Points of Interest (POIs), 3) Administrative Areas and Other Cartography, and 4) Metadata. These datasets include Streets, Major Highways, Secondary Highways, Signs, Driving Conditions, Traffic, Travel Destinations, Parking, Named Places, Auto Maintenance, Service, and Petrol, Hospitals, Restaurants, Shopping, Business Facilities, Entertainment, Financial Institutions, Educational Institutions, Transportation Hubs, Border Crossings, Parks and Recreation, Community Service Centres, Country, State, and other Administrative Areas, Buildings, Landmarks, Railroads, Land Use, Waterways, Islands, and Oceans, and other related information. NAVTEQ global map data includes approximately 19 million roadway miles (over 30.5 million kilometers) and over 40 million POIs in approximately 50 categories. 2015-04-01 NAVTEQ Vector digital data http://NAVTEQ.com Esri ArcGIS 13.3.2.52636 Publication date 2024-01-01T00:00:00 NAVTEQ maps provide a highly accurate representation of the detailed road network including hundreds of attributes such as turn restrictions, physical barriers and gates, one-way streets, restricted access and relative road heights. NAVTEQ digital map data offers accuracy, detail, reliability, and flexibility. Continuously updated to maintain its freshness and precision, NAVTEQ digital map data not only enables door-to-door routing it contains millions of Points of Interest (POIs), making it easy to locate everything from restaurants to hospitals and gas stations. NAVTEQ data are found onboard most navigation-enabled vehicles produced around the world and on all the top Internet navigation sites. It is the unseen force behind the leading express mail services, emergency and government routing plans, efficient field service management, as well as numerous fleet operations, worldwide. Plus, it is the foundation for a growing category of wireless, Location Based Services (LBS). NAVTEQ offers digital map coverage in 77 countries on 6 continents. In addition to widely used GIS formats, including ESRI and MapInfo, data are also available in a number of other formats including RDF (Relational Data Format), GDF (Geographic Data Format), SIF+ (Standard Interchange Format), POI XML, and ODF (Oracle Delivery Format). An in-depth description of NAVTEQ datasets, data processing methodology, geometry, attributes, and metadata is provided to NAVTEQ customers through the NAVSTREETS Reference Manual and a number of other supplemental documents. NAVTEQ documentation uses standardized British spelling. 1 -87.464014 -79.994809 31.133853 24.428450 NAVTEQ data contains the most navigable attributes available in a database. Utilizing the data to its fullest allows the user to access Layers such as expressway ramps, complete and correct connectivity of all roadways, one-way streets, physical, logical, and legal turn restrictions, construction projects, as well as physical and painted lane dividers. In addition to these navigable attributes, NAVTEQ data provides address ranges down to the level of the correct side of the street. NAVTEQ provides 4 levels of street map coverage: Detailed City, Inter-Town, In-Process Data and Connector areas. Detailed City is NAVTEQ's highest level of coverage. This coverage level has the most detail and enables door-to-door routing functionality. Inter-Town coverage includes the main highway network and all the necessary attributes required to allow routing from city to city. Inter-Town links are coded with attributes Detailed City Inclusion = N and In-Process Data = N. For Inter-town links, the Full Geometry attribute flag may be set to either yes or no depending on the presence or lack of surrounding In-Process Data Coverage. In many countries, NAVTEQ has used a commercial source to add local roads to the Inter-Town network. The inclusion of this geometry allows improved map display and guidance. This coverage level is called Full Coverage in the U.S. and Road Network Coverage in Europe. The Connector Specification enables NAVTEQ to maintain minimum coverage in areas prior to completing (full) Detailed City (DC), Inter Town (IT), or In-Process areas. For defining a hierarchical network used to determine a logical and efficient route for a traveller, each NAVTEQ street segment is tagged with a 5 level Functional Class (FC) attribute explained as follows. FC 1: Very long distance routes between major cities - The "highest level" network comprises the FC 1 arterials, which are primarily controlled access highways designed for very-long-distance travel linking major metropolitan areas and cities, FC 2: Primary routes between major and smaller cities and through metro areas, FC 3: Major routes between minor cities or towns, and through city districts, FC 4: Routes connecting minor towns or villages and collecting the local traffic in the city districts, and FC 5: Roads that are not efficient through routes - The "lowest level" and final category is FC 5, which comprises roads not considered to be arterials or transportation corridors. NAVTEQ field office staff drives the roads and streets to collect and verify new data. In addition, internal test applications are regularly run on attributes to assist in verification and correction. NAVTEQ also publishes Technical Notification Memorandums (TNM) for customers on a quarterly basis. These TNMs include information pertaining to product updates, format changes, new attributes, detailed attribute specifications and representations, and new country coverage announcements. If NAVTEQ plans to add, remove, or change an attribute or product Layer, an announcement is made to customers a minimum of 6 months in advance. This allows customers to prepare and make necessary modifications to their applications before a new attribute is released in the product. The position of POI data is determined through a geocoding process, using linear interpolation along a street segment. Positions are therefore relatively accurate along the segment, but may not necessarily fall on the exact physical location of the POI. Geometry development: NAVTEQ verifies (and if needed, corrects) the data by bringing together the source material, field data gathered through driving the road network, and additional digital imagery. Base map data is further enhanced with aerial photos and differential GPS to accurately position roads and represent lakes, rivers, railroads, etc. Data validation: NAVTEQ subjects the data to hundreds of automated validation tests to provide accuracy. These tests are complemented by regular reports from the field teams, who periodically re-drive the roads and streets to collect and verify new data, and confirm the accuracy of all information contained in the database. Source normalization: Source maps are carefully reviewed and digitized. The data are normalized and entered into the NAVTEQ database. Individual POI files are extracted from a single central master POI database containing all POI data. NAVTEQ POI data points are generated from a geocoding process whereby textual address information is used to locate a point along a NAVTEQ street segment, using linear interpolation against left and right low and high address ranges. NAVTEQ uses a six-step production process to build its digital road maps: source acquisition, source normalization, geometry development, field data collection, geocoding, and data validation. These steps involve compiling maps, charts and imagery, driving the road network, developing proprietary tools and processes, using hundreds of automated validation tests, and periodically re-driving the roads to ensure the data are as up-to-date as possible. Geocoding: The field and production teams code the one-ways, turn restrictions, postal codes, and other details to every location on the map. Source acquisition: The process begins with establishing a field office in the new build area. Source or Base Maps are acquired from a variety of sources including local governments, utility companies, other public agencies, and commercial mapping agencies. These sources of information, in the form of maps, charts, and imagery, provide the basic roadway detail for the new build area. Field data collection: Using proprietary tools and processes, NAVTEQ collects everything from road geometry to road attributes, 300 in all, on roads, streets, and highways throughout the world. Proprietary software is used to add navigable information, addresses, and points of interest. Photographs are also taken of overhead signage to ensure that the data accurately reflects the real world. NAVTEQ Data users can help maintain and improve data accuracy by reporting suggested changes to NAVTEQ. Map updates can be submitted through the web based Map Reporter application at http://mapreporter.navteq.com/dur-web-external/. The status of updates can also be checked at this website after submittals. NAVTEQ's comprehensive data build process ensures the highest quality data available for routing and mapping applications. The process begins with establishing a field office in the new build area. Sources or Base Maps are acquired from a variety of sources including local governments, utility companies, other public agencies, and commercial mapping agencies. These maps are then carefully reviewed and digitized. All base map data is further enhanced with aerial photos and differential GPS to accurately position roads and represent lakes, rivers, railroads, etc., and proprietary software is then used to add navigable information, addresses, and points of interest. NAVTEQ additionally road tests the data to further add to the quality of the database. Field office staff drives the roads and streets to collect and verify new data. Photographs are also taken of overhead signage to ensure that the data accurately reflects the real world. NAVTEQ digital map data is built on the roads of the world. Over seven hundred NAVTEQ field researchers from approximately 168 offices drive millions of kilometers of the road network each year. To provide uniformity and maximize precision each team works to a single global specification. And each team has state-of-the-art equipment, including our proprietary GPS-based collection technology and software. NAVSTREETS is a NAVTEQ extraction format. The NAVTEQ data production environment, while not designed to be adopted directly by customers, is designed to insulate customers from data structure changes, additions, and deletions. NAVTEQ uses data extraction formats to "publish" NAVTEQ data externally to its customers, enabling them to process map data into their own production environment. These extraction formats generally have a design that is independent from the NAVTEQ internal production environment, and are not impacted when NAVTEQ modifies parts of the production environment. Extraction formats generally publish the same content, with differences only in the representation of the data. 42215 EPSG 6.3(9.0.0) Hospital The Hospitals layer contains facilities within a NAVSTREETS coverage area that provide inpatient and emergency care for people. This layer is used for destination selection, geocoding, and map visualisation. Note that a Hospital is represented by multiple point objects when it has names in multiple languages. NAVTEQ Feature Class 42215 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. LINK_ID Link ID Integer 4 0 0 The unique number used to identify each link (road segment) in the NAVTEQ database. For POIs and other related layers, the unique number used to identify an associated link. This set of unique integer identifiers provides primary keys and is consistent between dataset versions. LINK_ID values are never reused. If a feature is changed, split, or removed, new LINK_ID values are assigned and old ones retired. NAVTEQ POI_ID POI ID Integer 4 0 0 Unique number used to identify each POI (Point of Interest) in the NAVTEQ database. This set of unique integer identifiers provides primary keys and is consistent between dataset versions. NAVTEQ SEQ_NUM Sequence Number SmallInteger 2 0 0 The Sequence Number is a counter that starts from the number 1. In NAVSTREETS each POI is duplicated when it has multiple names. The Sequence Number is necessary in order to distinctly associate a POI Transliteration to its correct POI Name. NAVTEQ FAC_TYPE Facility Type Integer 4 0 0 The 4-digit code that identifies the Facility Type. Value 8060 Description Hospital Value 9583 Description Medical Service NAVTEQ POI_NAME POI Name String 254 0 0 The name by which the POI is known. NAVTEQ POI_LANGCD POI Language Code String 3 0 0 A code to indicate the language used for the POI name. See the Name Language Code attribute (NM_LANGCD) for a list of valid values. NAVTEQ POI_NMTYPE POI Name Type String 1 0 0 The word type for the POI name. All POI Name Types (Base, Exonyms, Synonyms, and Unnamed) can be used for destination selection and map display for languages supported by NAVTEQ. List of values  Value B Description Base name. If multiple names exist for a particular POI, the base name represents the POI name in the country's official language. Value E Description Exonym. An exonym is a name that is different in another language than it is in the National Language. Exonyms may also be translations of the official name. In Canada, if settlements in French speaking provinces have names in two different languages, the Value S Description Synonym. A synonym is a name in the National Language which is different than the official name. Value U Description Unnamed NAVTEQ POI_ST_NUM POI Street Number String 10 0 0 The POI's actual street number. NAVTEQ ST_NUM_FUL ST_NUM_FUL String 75 0 0 Identifies the complete house number for the POI. NAVTEQ ST_NFUL_LC ST_NFUL_LC String 3 0 0 The Language Code of the Full POI Street Number field. NAVTEQ ST_NAME Street Name String 240 0 0 The NAVTEQ attributes Feature Base Name, Street Type, Prefix, and Suffix are combined to form the full Street Name. For a POI, this name is the street name associated with the road segment referenced by the POI's LINK_ID. NAVTEQ ST_LANGCD Street Name Language Code String 3 0 0 A code to indicate what language to use when displaying the Street Name. NAVTEQ POI_ST_SD POI Street Side String 1 0 0 Identifies the side of the street on which the POI is located in situations where the link is valid unaddressed, contains mixed addresses, or the POI is unaddressed. List of values  Value L Description Left Value R Description Right Value N Description Not Applicable NAVTEQ ACC_TYPE Access Type String 1 0 0 This field is no longer in use. NAVTEQ PH_NUMBER Phone Number String 15 0 0 The phone number of the POI. NAVTEQ CHAIN_ID Chain ID Integer 4 0 0 The code that identifies the commercial chain associated with the POI. This code can be used to look up the name of the commercial chain in the Metadata Reference Classes (MtdRef) table. NAVTEQ NAT_IMPORT Nationally Important String 1 0 0 Indicates if the POI name is recognizable without a city name. For example, The Empire State Building is recognizable without the city name of New York. List of values  Value Y Description Is recognizable without a city name. Value N Description Is not recognizable without a city name. NAVTEQ PRIVATE Private String 1 0 0 For a street, indicates if the street is private. For a POI, indicates if POI normally requires membership for admission. List of values  Value Y Description Private Value N Description Not Private NAVTEQ IN_VICIN In Vicinity String 1 0 0 Identifies whether a POI is located directly on the road with which it is associated. List of values  Value Y Description POI is located directly on the road with which it is associated. Value N Description POI is not located directly on the road with which it is associated. NAVTEQ NUM_PARENT Number of Parents Integer 4 0 0 The number of POI parents that exist in the POI Association layer. NAVTEQ NUM_CHILD Number of Children Integer 4 0 0 The number of POI children that exist in the POI Association layer. NAVTEQ PERCFRREF Percent From Reference Node SmallInteger 2 0 0 Indicates the location of the Point of Interest (POI) on the link in terms of percent from the reference node. Percent from Reference Node can be used to determine icon placement and timing of guidance information. This is particularly useful when POIs do not have an address, the road does not carry addresses, or when the POI is located on a very long link. NAVTEQ VANCITY_ID Vanity City Integer 4 0 0 Identifies a city that is different from the city where the POI is physically located. For example, Charles-de-Gaulle airport is located in Roissy-en-France, not in Paris. It is common, however, for people to think the airport is in Paris. NAVTEQ ACT_ADDR Actual Address String 254 0 0 The Actual Address is an address that is different from the street address where the entrance of the POI is physically located. NAVTEQ ACT_LANGCD Actual Language Code String 3 0 0 The Language Code of the Actual Address. NAVTEQ ACT_ST_NAM Actual Street Name String 100 0 0 The parsed Actual Street Name for the POI. NAVTEQ ACT_ST_NUM Actual Street Number String 15 0 0 The parsed Actual Street Number of the POI. NAVTEQ ACT_ADMIN Actual Administrative Area String 100 0 0 The parsed Actual Admin Name of the POI. Up to two admin names can be published separated by a comma. NAVTEQ ACT_POSTAL Actual Postal Code String 11 0 0 The parsed Actual Postal Code of the POI. NAVTEQ ENTR_TYPE Entrance Type String 1 0 0 Entrance Type identifies whether or not the entrance is the preferred entrance to a facility. Entrance Type can be used for destination selection and map display to identify preferred entrances to a POI. List of values  Value Y Description Preferred Entrance Value N Description Not Preferred Entrance NAVTEQ SHAPE Shape Points - Sets of binary spatial coordinate values representing ESRI geometry objects. Esri The set of all geometry object values. 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