Workforce Information Database

The Workforce Information Database (WID) is a normalized relational database structure developed for the storage and maintenance of employment statistics, labor market information, employer listings and related economic and demographic data. The database development project originated from the need for a single, multi-purpose database structure to drive analytical and data display systems.

The WID serves as the cornerstone for information delivery, economic development, workforce research, and product development for information that is standard and comparable across geographic regions. It provides states with a common structure for storing information in a single database but at the same time offers the flexibility that best achieves local, state, and regional needs. Because of data standardization through use of the Workforce Information Database, an unprecedented ability to link the various systems, classifications, and coding schemes can be achieved. These integrated resources, provide unlimited opportunities for the delivery of customized, regional and local information to customers in useful formats.

The database, once populated, brings together critical economic development and workforce information from many sources to promote better analysis and more sophisticated interpretation. The resulting cost savings to the workforce information system as a whole is significant because states and national entities do not have to “reinvent the wheel”. The infrastructure of the Analyst Resource Center and specifically, the WID is in place to facilitate effective information delivery.

The WID contains standardized tables of information for each of the items listed below. Each state is required to populate their database with a core set of data as indicated. However, in order to best achieve local and regional needs, states may choose to add information even beyond those items listed.

Information that can be accessed through the WID include:

 

The WID allows for states to populate data in the following geographic classifications: