The Centrus® GDT Geocoding Data Set, based on Tele Atlas Dynamap® Streets, is designed for address level geocoding.
When an address level geocode is not available the GDT data set provides cascading accuracy at the ZIP+4, ZIP+2, and ZIP Code centroid to return the highest level of geocode for the address using Centrus® GeoStan technology.
Centrus® GDT Data utilizes the DYNAMAP®/2000 street network database from Tele Atlas North America and the US Postal Service ZIP+4 Address database to create a conflated Centrus® database that benefits from both the Postal address ranges and the TANA street network ranges.
Dynamap®/2000® contains more than 14 million addressed street segments. This complete nationwide database provides current and comprehensive street and address coverage for superior geocoding performance.
Centrus® GDT geocoding data is based on the United States Postal Service ZIP+4 database containing 40+ million address ranges in 44,000+ ZIP codes and addressed street segment records from the Tele Atlas North America (TANA) street network database covering the United States and Puerto Rico.
Provides geocoding and address data, for CASS certified processing, for use with all Centrus® GeoStan based solutions.
The optional Statewide Intersection Index is designed to enable fast intersection identification on a statewide basis as opposed to the city/state or ZIP Code basis. For example, the Statewide Intersection Index will allow the database search for 1st and Main St, CO and return a list of possible matches in Colorado more quickly than having to search the entire Colorado database for each instance of the intersection.
DATA UPDATE FREQUENCY
Monthly
UNITS OF GEOGRAPHY
National
GEOGRAPHIC COVERAGE
United States and Puerto Rico
VINTAGE
US Postal Service Data: Monthly TANA Street Network Data Built monthly based on the current TANA DynaMap®/2000 database quarterly release
TANA ZIP+4, ZIP+2, and ZIP Code Centroid Geocoding Built monthly based on the current TANA DynaMap®/2000 database quarterly release
Poduct sheet
