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 GeodatabasePreparation Method: N/APublish Frequency: WeeklyPublish Method: AutomaticData Dictionary

This dataset contains a list of addresses with details such as names, streets, cities, states, and ZIP codes. The data appears to be formatted in CSV, capturing various individual and location entries.

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 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.

Our address datasets contain all geospatial address data of Hungary. 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 Hungary

Spotzi 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.

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.

The National Address Base is a database that aims to reference all addresses in France.

It contains the geographical position of more than 25 million addresses.

It is formed by the collaboration between:

• national players such as IGN, La Poste and La Poste,
• local players such as communities, municipalities, SDIS,
• citizens for example through the OpenStreetMap project and the OpenStreetMap France association.

The project is co-governed by the General Data Administrator and the National Council for Geographic Information.

It is published on the site address.data.gouv.fr developed by the Etalab mission of the General Secretariat for the Modernization of Public Action (SGMAP).

The data is available under two licenses:< /p>

• ODbL 1.0 License (Open Database License)
• Free Reshare License

A free geocoding service is provided by the Etalab mission.

The Address Coordinator in the Planning Department assigns new addresses during the application review process per the address manual. The status field can be used to filter out valid addresses. The True, Multi, Corner (status will be changed to true when the building configuration is identified), and Model values are all valid addresses.

Other Statuses:

Preliminary - subdivision addresses assigned during the review process and are not official until the plat is recorded; Temporary - addresses assigned to power poles and construction trailers during the building process; Land - addresses for undeveloped properties; Range - used to aid the address coordinator in assigning new addresses when calculating the address range on a new street segment; Retired - former addresses that are no longer in use like shopping center reconfigurations.

Use field: This field helps clarify what the address is representing such as power meters for subdivision fountains or pump houses in multi-family developments.

The address field is a concatenation of the individual address fields except for the unit number (field name = Units).

Address with suffix field concatenates the address number and any suffix for use in geocoders.

The AIMS: Address data table contains details relating to the creation and updating of an address including the version of an address and is part of the AIMS: Street Address.

Refer to the NZ Addresses Data Dictionary for detailed metadata and information about this dataset.

Background

This dataset provides all allocated addresses as advised to Toitū Te Whenua LINZ by Territorial Authorities (TAs). Under the Local Government Act 1974 (section 319) it is the responsibility of the TAs to advise the Surveyor-General at Toitū Te Whenua LINZ of all allocated addresses in their district.

The dataset is maintained by Toitū Te Whenua LINZ in the Address Information Management System (AIMS) which is centralised database for the management of national addresses, including for electoral purposes. This dataset is updated weekly on the LINZ Data Service.

For a simplified version of the data contained within these tables see NZ Addresses

A public view of site or service delivery addresses along with related mailing addresses.

The Street_and_Address_Composite will return a geographic coordinate when a street address is entered. A user can enter an address either manually or by bulk input from a database or other source.The geocoder returns a coordinate pair and standardized address for each input address it is able to match. The NYS ITS Geospatial Services geocoder uses a series of combinations of reference data and configuration parameters to optimize both the likelihood of a match and the quality of the results. The reference data supporting the geocoder is stored in Federal Geographic Data Committee (FGDC) standard.The first composite locator (Street_and_Address_Composite) is made up of the following set of locators which are most likely to return a high quality hit. The locators are listed in the order in which they will be accessed along with a brief description of the locator's source data. These six locators will generate the majority of the results when geocoding addresses.Locator NameSource DataDescription1A_SAM_AP_ZipNameSAM Address PointsSAM address points using the postal zip code name for the city name in the locator.1B_SAM_AP_CTNameSAM Address PointsSAM address points. The city or town name is used for the city name in the locator.1C_SAM_AP_PlaceNameSAM Address PointsSAM address points. The city name is populated using the NYS Villages and Indian Reservations, the Census Designated Places and Alternate Acceptable Zip Code Names from the USPS. These names do not exist everywhere so there will be a limited number of points in this locator.3A_SS_ZipNameNYS Street SegmentsNYS Street Segments dataset using the postal zip code name for the city name in the locator. The location is interpolated from an address range on the street segment. The city name can be different for the left and right sides of the streets.3B_SS_CTNameNYS Street SegmentsNYS Street Segments using the city or town name for the city name in the locator. The location is interpolated from an address range on the street segment.3C_SS_PlaceNameNYS Street SegmentsNYS Street Segments using an alternate place name for the city field. This field is populated using the NYS Villages and Indian Reservations, the Census Designated Places and Alternate Acceptable Zip Code Names from the USPS. These areas do not exist everywhere so there will be a limited number of segments with this attribute. The location is interpolated from an address range on the street segment.For more information about the geocoding service, please visit: https://gis.ny.gov/address-geocoder.For documentation on how to add these locators to ArcGIS, please reference Adding the Statewide Geocoding Web Service. If you would like these locators to be your default locators in ArcGIS, copy DefaultLocators.xml to C:\Users<username>\AppData\Roaming\ESRI\Desktop10.X\Locators, where

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!

Harness the Power of Fresh New Homeowner Audience Data

Our comprehensive New Homeowner Audience Data file is a meticulously curated compilation of Direct Marketing data, enriched with valuable Email Address Data. This essential resource offers unparalleled access to Consumers and Prospects who have recently moved into new homes or apartments.

Averaging an impressive 1.1 million records monthly, our dataset is continually updated with the latest information, including a dedicated 30-day hotline file for the most recent movers. This ensures you're always working with the freshest and most relevant data.

With an average income surpassing $55K and a high concentration of families, these new homeowners present a prime opportunity for businesses across various sectors. From healthcare providers and home improvement specialists to financial advisors and interior designers, our data empowers you to identify and reach your ideal customer.

Benefit from our flexible pricing options, allowing you to tailor your data acquisition to your specific business needs. Choose from transactional purchases or opt for annual licensing with unlimited use cases for marketing and analytics.

Unlock the full potential of your marketing campaigns with our New Homeowner Audience Data.

Our address datasets contain all geospatial address data of Lithuania. 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 Lithuania

Spotzi 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.

Our address datasets contain all geospatial address data of United Kingdom. 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 United Kingdom

Spotzi 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.

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

Updated Continually

Our address datasets contain all geospatial address data of Czech Republic. 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 Czech Republic

Spotzi 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.

Take a thrilling expedition into the mesmerizing universe of Dash addresses with this remarkable dataset. This treasure trove goes far beyond mere addresses, unveiling valuable revelations about connected transactions, historical balance records, and activity timestamps. Immerse yourself in the labyrinthine complexities of the blockchain system, as this invaluable resource stands as an ever-evolving and essential sanctuary of knowledge. No matter if you're a discerning financial analyst, an avid researcher, or an impassioned blockchain devotee, this meticulously crafted dataset has been customized to meet your every requirement and desire.

For any further details or inquiries about this output dataset, please connect with us at info@blockchair.com. Our dedicated team is always available to guide and ensure you harness the full potential of the information at hand.

Our address datasets contain all geospatial address data of Estonia. 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 Estonia

Spotzi 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.