This dataset is a compilation of address point data for the City of Tempe. The dataset contains a point location, the official address (as defined by The Building Safety Division of Community Development) for all occupiable units and any other official addresses in the City. There are several additional attributes that may be populated for an address, but they may not be populated for every address. Contact: Lynn Flaaen-Hanna, Development Services Specialist Contact E-mail Link: Map that Lets You Explore and Export Address Data Data Source: The initial dataset was created by combining several datasets and then reviewing the information to remove duplicates and identify errors. This published dataset is the system of record for Tempe addresses going forward, with the address information being created and maintained by The Building Safety Division of Community Development. Data Source Type: ESRI ArcGIS Enterprise Geodatabase Preparation Method: N/A Publish Frequency: Weekly Publish Method: Automatic Data Dictionary

National Address DatabaseThis National Geospatial Data Asset (NGDA) dataset, shared as a U.S. Department of Transportation (USDOT) feature layer, displays address data in the United States. Per USDOT, "The U.S. Department of Transportation (USDOT) and its partners from all levels of government recognize the need for a National Address Database (NAD). Accurate and up-to-date addresses are critical to transportation safety and are a vital part of Next Generation 9-1-1. They are also essential for a broad range of government services, including mail delivery, permitting, and school siting. To meet this need, USDOT partners with address programs from state, local, and tribal governments to compile their authoritative data into the NAD."District of Columbia (DC) Residential AddressesData currency: Current federal service (Address Points from National Address Database)NGDAID: 196 (National Address Database (NAD))For more information: Getting to know the National Address Database (NAD); National Address DatabaseFor feedback, please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Transportation Theme Community. Per the Federal Geospatial Data Committee (FGDC), Transportation is defined as the "means and aids for conveying persons and/or goods. The transportation system includes both physical and non-physical components related to all modes of travel that allow the movement of goods and people between locations".For other NGDA Content: Esri Federal Datasets

This feature class contains the location of existing addresses within the City of Mesa. Site addresses are active and usable by property owners, the US Post Office, utility companies, etc. The dataset includes unit or suite addresses. Also included in the dataset is the individual pieces of the address (number, number fraction if available, street name and unit/suite number), classification of the unit or suite, full address, classification, council district, address type (site, unit or horizontal unit), and unit/suite floor. Coordinate: NAD 1983, HARN, State Plane, Arizona, Central FIPS 0202, Feet InternationalProjection: Traverse MercatorLand Status CodeNameEExistingPPermittedAddress Unit Type CodeNameNSUNon Standard Unit - utility, garageSiteSite AddressUUnitZUZ Unit - non ground floor unitUnit Classification CodeNameAPTApartmentBFPBackflow PreventerBLDGBuildingBRTSBus Rapid Transit ShelterBSMTBasementEPANElectric PanelFHYDFire HydrantGRGarageHNGRHangerLOTLotLSCPLandscape MeterMVLTMeter VaultOFCOfficePOLEElectric Power PoleRMRoomSIGNSignSPCSpaceSTESuiteSTLTStreet LightTSGLTraffic SignalUNITUnitPPEDPower Pedestal for Telecommunications, etc.Address Classification CodeNameAAAsset AddressAGCrop or Dairy ProductionAPApartmentARAirportBRBike RentalBSBusiness - banks, officesCICity of MesaCMCommercial - stores, retailCNCondominiumCTCourtDFDefense PropertyEDEducational FacilityFDFire FacilityGCGolf CourseHPHospitalHTHotel or MotelIDIndustrial - manufacturing, assembly or fabrication activityINInstitutional - children's home, group homeKBKnox BoxLRLight Rail StationMDMedical FacilityMHMobile Home ParkMLShopping MallMUMixed Use - commercial/residential; commercial/warehouse, etc.NHNursing HomeOSPrivately Owned Community Open SpacePDPolice FacilityPGParking Garage or LotPKPark - City OwnedPOPost OfficeRBRetention BasinRCRecreational FacilityRLReligious FacilityRSResidentialSBSubdivision or Private Area Development Main AddressSPSpecial PropertySTStorage FacilityTHTownhomesTRTrailer ParkUAUnit Address - see UnitClassification fieldUTUtilityVCVacantWHWarehouse

Our address datasets contain all geospatial address data of Portugal. You can use this data to send direct mail campaigns to households within a certain radius of your store, or to limit your online campaigns to viewers within a specific catchment area.

Address-Level Targeting in Portugal

Spotzi Targeting users can also combine our address data with consumer demographics and behavior data - such as insights into purchasing habits or disposable income - to ensure that every campaign targets their best-fit customers.

• Spotzi Profiling uses the address geographical dataset to create detailed profiles of potential customers. By combining location data with demographic and behavioral information, it can provide insights into the preferences and needs of different customer segments. This can help businesses understand their audience better and create more effective marketing strategies.

• To generate targeted mailing lists, employ our profiling tools to begin delineating your target audience according to demographics, interests, and behaviors. Employ strategies for direct mail customer segmentation to categorize your audience into specific groups. After creating these groups, you can export a list of addresses for focused and effective direct mail campaigns.

• Certainly, you can create address lists by aggregating data based on various parameters such as Portuguese 4- and 7-digit postal code areas. For example, you can generate an address list by postal code, allowing you to target specific geographic regions efficiently. This segmentation strategy aids in tailoring your communication to the unique characteristics of different areas or localities.

• Yes, you can export this Portuguese address list to Excel. Most mailing list databases and management systems offer the option to export data in various formats, including Excel. This facilitates easy integration with other tools and allows for seamless data analysis and manipulation.

• Absolutely. This dataset is well-suited for address validation, offering a comprehensive solution through various means. Utilizing an address validation checker, you can ensure the accuracy and completeness of each address. The address data validation process is further enhanced with our robust API, allowing seamless integration for efficient validation.

  Whether you're validating addresses locally or internationally, our international address validation capabilities cover addresses worldwide. This ensures that your data is reliable, adheres to postal standards, and is ready for successful implementation in diverse global contexts.

The Street Addresses web map is used to author the Street Addressing Instant app at https://ebrgis.maps.arcgis.com/apps/instant/sidebar/index.html?appid=8542154fb54746e0a1a326e5b89b759a. It displays all address point, street centerline block range, ZIP Code, and Council District datasets in East Baton Rouge Parish, Louisiana.

The Addresses data is based on the public data of the SE Center of Registers, which were published in November of 2024. In order to get the actual Addresses data of the required territory, you need to contact the SE "Centre of Registers" which is the administrator of the Address Register. info@registrucentras.lt. The objects are shown at the scales between 1:1 000 and 1:50 000.

Address assignments for properties, structures, and other assets requiring an address.

Welcome to Apiscrapy, your ultimate destination for comprehensive location-based intelligence. As an AI-driven web scraping and automation platform, Apiscrapy excels in converting raw web data into polished, ready-to-use data APIs. With a unique capability to collect Google Address Data, Google Address API, Google Location API, Google Map, and Google Location Data with 100% accuracy, we redefine possibilities in location intelligence.

Key Features:

Unparalleled Data Variety: Apiscrapy offers a diverse range of address-related datasets, including Google Address Data and Google Location Data. Whether you seek B2B address data or detailed insights for various industries, we cover it all.

Integration with Google Address API: Seamlessly integrate our datasets with the powerful Google Address API. This collaboration ensures not just accessibility but a robust combination that amplifies the precision of your location-based insights.

Business Location Precision: Experience a new level of precision in business decision-making with our address data. Apiscrapy delivers accurate and up-to-date business locations, enhancing your strategic planning and expansion efforts.

Tailored B2B Marketing: Customize your B2B marketing strategies with precision using our detailed B2B address data. Target specific geographic areas, refine your approach, and maximize the impact of your marketing efforts.

Use Cases:

Location-Based Services: Companies use Google Address Data to provide location-based services such as navigation, local search, and location-aware advertisements.

Logistics and Transportation: Logistics companies utilize Google Address Data for route optimization, fleet management, and delivery tracking.

E-commerce: Online retailers integrate address autocomplete features powered by Google Address Data to simplify the checkout process and ensure accurate delivery addresses.

Real Estate: Real estate agents and property websites leverage Google Address Data to provide accurate property listings, neighborhood information, and proximity to amenities.

Urban Planning and Development: City planners and developers utilize Google Address Data to analyze population density, traffic patterns, and infrastructure needs for urban planning and development projects.

Market Analysis: Businesses use Google Address Data for market analysis, including identifying target demographics, analyzing competitor locations, and selecting optimal locations for new stores or offices.

Geographic Information Systems (GIS): GIS professionals use Google Address Data as a foundational layer for mapping and spatial analysis in fields such as environmental science, public health, and natural resource management.

Government Services: Government agencies utilize Google Address Data for census enumeration, voter registration, tax assessment, and planning public infrastructure projects.

Tourism and Hospitality: Travel agencies, hotels, and tourism websites incorporate Google Address Data to provide location-based recommendations, itinerary planning, and booking services for travelers.

Discover the difference with Apiscrapy – where accuracy meets diversity in address-related datasets, including Google Address Data, Google Address API, Google Location API, and more. Redefine your approach to location intelligence and make data-driven decisions with confidence. Revolutionize your business strategies today!

This dataset contains the address points of the Grand-Duchy of Luxembourg. The dataset is structured according to the INSPIRE Annex I Theme - Addresses. The data has been derived from the Cadastral database. For every parcel, where an address is known, the address point is located on the entrance of the main building(s). The syntax of the addresses is compliant with the "CACLR" - database (https://www.services-publics.lu/caclr/index.action) These addresses are used for the geolocalisation in the Geoportal (http://map.geoportal.lu) They have been transposed into the INSPIRE data model and coordinate system. Description copied from catalog.inspire.geoportail.lu.

Updated Continually

The geocoded addressing data maintained by Environment, Planning and Sustainable Development is the authoritative source for addressing in the ACT. The geocoded address provides the spatial location of the address (point) and the conventional description of a block or group of blocks in the ACT generally consisting of a street number, street name, division (urban only) and district. Addressing data is maintained on a daily basis as addresses are allocated resulting from Development Applications (DA), Estate Development Plans (EDP) or residential requests. Each block may have many addresses and an address may cover many blocks. One urban block may have more than one address if there are several street frontages, or if it is a unit development or a dual occupancy. The ACT Government maintains property street address details under the Districts Act 2002. Information is captured for both urban and rural properties. This dataset includes only assigned addresses.

Valassis Communications, Inc. VNEF Plus provided address level information for 2016, which was aggregated up to census blocks by Data Driven Detroit. Data includes total residential, business, and vacant addresses by block. Data was obtained for the Building and Conditions section of Little Caesar's Arena District Needs Assessment.Click here for metadata (descriptions of the fields).

Addressed Locations within the State of Colorado provided by county and regional governments. This service reflects an evolving data model of the Colorado State Address Dataset (CSAD). It contains address information submitted by local government agencies and will be more regularly updated through automated routines. This service also locates addresses that are not matched to address point locations provided by local governments by interpolation to address-ranged street centerlines published by the US Census in 2016. This cascading composite location service first tries to match subaddress to subaddress (123 Main Apt D ...), if that doesn't work match subaddress to parent address (123 Main ...) from address location data provided by local governments in Colorado. If that the address does not match the address on record for these locations then this service will attempt to match the address to the US Census Address-Ranged Road Centerlines.

List of NYCHA residential addresses.

The Built Address Feature Type represents local authority addresses that are currently built and live and can typically receive mail, deliveries, or services. For example, homes, shops, schools and hospitals.

Points that represent the locations of all valid addresses in the City of Kitchener. All points are positioned within the land parcel and when possible on top of the building footprint to which they apply. Some properties have more than one address.

Fields

PROPERTY_UNIT_ID

Permanent unique value

ROADSEGMENTID

ID of the road address is located on

BUILDINGID

ID of the building the address is located in

CIVIC_NO

Civic number

STREET

Full street name and type

UNIT

Unit number if applicable

UNIT_TYPE

Whether the unit is a BASE address or a UNIT address

STATUS

Status of the address

UPDATE_DATE

Updates to the current date/time when an attribute or the geometry of the feature is changed

X_COORD

The UTM NAD 83 zone 17 horizontal x co-ordinate of the geometric centroid of the feature location

Y_COORD

The UTM NAD 83 zone 17 horizontal y co-ordinate of the geometric centroid of the feature location

LATITUDE

Not currently available

LONGITUDE

Not currently available

The current spatial location and address information for all real property within the Town of Gilbert's jurisdiction.The Town of Gilbert addresses were established for the following reasons:Need for uniform and consistent street names and addresses to enable emergency response personnel as well as the general public to readily locate a street address.Need for increased efficiency of delivery services, including the U.S. Mail.Need for consistent and accurate legal documents.Need for convenience and proper orientation for travelers and citizens of the Town.

ADPARCEL displays parcel-based addresses, including multiple addresses per parcel when parcels have more than one address. Addresses are derived from address codes, 0,7,8, and 9 in ADR_PIMA, then overlaid with parcels to gather parcel-related attributes.Click here to visit Pima County's Open Data site.PurposeThis layer was developed locate addresses in Pima County, Arizona.Dataset ClassificationLevel 0 - OpenKnown UsesThis layer is not in any known applications.Known Errors Address points from ADR_PIMA do not represent precise locations of buildings and are intended only to represent a general location within a particular parcel.ContactPima CountyUpdate FrequencyAs Needed

Easily usable list of Flemish addresses down to house number and sub-address level. The information in this list comes from the authentic geographical data source CRAB, the Central Reference Address Database. Each address is documented with the municipality, the street name and its CRAB street name code, the house number, the sub-address label, the zip code and the top rated geographical point geometry of the address.

The National Address Register (NAR) provides users with an authoritative list of valid georeferenced civic addresses in Canada, including their corresponding mailing addresses, in a standardized address structure. NAR is made available under the Statistics Canada Open Licence agreement (https://www.statcan.gc.ca/eng/reference/licence). The GC API Store closed permanently at 12:00 EDT on September 29th, 2023. With this closure, the National Address Register (NAR) will no longer be released as an API. The NAR will continue to be released as a Pubic Use Microdata File (PUMF) via the Statistics Canada website.