AUSTRALIA
Address Fabric
Sample
From Precisely
Address Fabric is a current and comprehensive list of all known physical addresses in Australia, vital for conducting analysis with confidence while avoiding costly mistakes.
Data Overview
Consistent and correct location information is vital for conducting analysis with confidence while avoiding costly mistakes. Unique identifiers help you maintain your address and property databases, enrich address locations with contextual information, and perform spatial analytics.
Address Fabric is the foundational data that provides the key for easily accessing this wealth of information.
Address Fabric is a current and comprehensive list of all known physical addresses in Australia (for this evaluation data set the geography is limited to a portion of Victoria, Australia). Each record is pre-geocoded to provide the most precise latitude and longitude coordinate location with the majority being the primary building centroid with address data including physical locations that are not deliverable by the postal service. Each record contains the street address, coordinate location and address type for that addressable location. Address genealogy known as parent/child relationships for primary and secondary addresses such as flats, units, suites, and apartments are also included. Records are assigned our unique identifier that can be used for data management and exchange, or appending enriched contextual information such as demographics, psychographics, and risk factors. This evaluation data set is a subset of the overall Address Fabric product. It features data in the state of Victoria, Australia. The commercial product is offered at the geographic country level.
Data Set
– The Address Fabric product consists of a single data set (table) with a reference table
Data set content includes but is not limited to:
– A unique and persistent identifier for each address, which can be used to directly join to Precisely’s enrichment data suite – Comprehensive address information
– Address components
– Location information (latitude & longitude)
– G-NAF primary identifier
– Location accuracy codes to convey the positional accuracy of the address point
– Parent/child address relationships (flats, units, apartments, suites)
– Property type information based on Mesh Block category (business vs. residential)
– Building name where available
Attribute fields include but are not limited to the following:
– PreciselyID: a unique and persistent identifier for each address in the US postal address
– State abbreviation
– Postcode
– Precision of the coordinate location
– Latitude
– Longitude
– PreciselyID of parent record if applicable
– Property type
– G-NAF primary ID
– Full street address
– Date created
– Date modified
– Flat number
– Flat number prefix
– Flat number suffix
– Level type
– Level number
– Building name
– Street number (multiple associated attribute fields)
– Lot number (multiple associated attribute fields)
– Street name
– Street type
– Street suffix
– Locality name
For more information, see the full data listing on Snowflake Marketplace.
Cloud Region Availability
US West (Oregon)
Canada (Central)
US East (N. Virginia)
US East (Ohio)
US East (Commercial Gov - N. Virginia)
US Gov East 1 (Fedramp High Plus)
US Gov West 1
US Gov West 1 (DoD)
US Gov West 1 (Fedramp High Plus)
Asia Pacific (Jakarta)
Asia Pacific (Mumbai)
Asia Pacific (Osaka)
Asia Pacific (Seoul)
Asia Pacific (Singapore)
Asia Pacific (Sydney)
Asia Pacific (Tokyo)
EU (Frankfurt)
EU (Ireland)
EU (London)
EU (Stockholm)
EU (Zurich)
EU (Paris)
South America (São Paulo)
Canada Central (Toronto)
Central US (Iowa)
East US 2 (Virginia)
South Central US (Texas)
US Gov Virginia
US Gov Virginia (FedRAMP) High Plus
West US 2 (Washington)
Australia East (New South Wales)
Central India (Pune)
Japan East (Tokyo, Saitama)
Southeast Asia (Singapore)
UAE North (Dubai)
North Europe (Ireland)
Switzerland North (Zurich)
UK South (London)
West Europe (Netherlands)
US Central 1 (Iowa)
US East 4 (N. Virginia)
Europe West 2 (London)
Europe West 4 (Netherlands)
Category
Geospatial
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