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|Workforce Employment Dynamics (WED) - State of Connecticut Last Updated: March 22, 2010|
|The Workforce Employment Dynamics program is an innovative program initiated by the Office of Research. Its purpose is to provide information on the characteristics of Connecticut’s jobholders, including detailed breakdowns by age, gender, industry, geographic region and wages earned.
WED data will be useful for any initiative that relies on an understanding of the labor market, but can be especially valuable for workforce development policy formulation and planning. For example, WED data show the age of the workforce in each of the state’s industries, identifying those with the greatest numbers of workers approaching retirement and, therefore, the greatest worker replacement needs. These data also identify gender differences in wages earned, progression in wages earned by age, and regional variations in workforce composition.
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The Workforce Employment Dynamics data presented on this site have been developed by linking Unemployment Insurance (UI) quarterly wage records to records from other Department of Labor programs, from the Department of Motor Vehicles (DMV) and from the Quarterly Census of Employment and Wages (QCEW), a statistical program conducted in association with the U.S. Bureau of Labor Statistics. Using these data sources and linking procedures has made the preparation of Workforce Employment Dynamics data possible. However, there are certain aspects of the data that are a consequence of these sources and procedures that should be known.
As a result of the data sources, information on certain subsets of Connecticut’s working population is unavailable. While unemployment insurance covers 93% or more of the working population, there is no information in this data on jobholders that are not covered by unemployment insurance. The largest groups excluded are the self-employed and federal civilian and military employees. Further, the WED data is limited to wage earners that live and work in Connecticut. Specifically, there is no information on individuals who either live in Connecticut and work out of state or reside out of state and work in Connecticut.
The matching procedure provides demographic data on age, gender, industry of employment, and region of residence. However, there are some instances when the demographic information is not available from the sources used. The data presented here only provide information for those individuals for whom demographic information is available. This is between 75% and 80% of the population of UI covered workers mentioned above.
Since the resulting data set is a substantially large subset of Connecticut’s working population, the Office of Research has used the data to estimate the distribution of all jobs held within the state by industry, age, gender, and the region where the wage earner lives. Specifically, in each quarter, the records derived from the linkage process provide an estimate of the proportion of jobs held in each demographic category, in each industry sector and subsector, and in each region of the State. These proportions are applied to the total count of jobholders in the State, providing estimates of the counts of all jobs held by demographic category, industry sector and subsector, statewide and by region.
Final notes: It is possible for a single person to show up multiple times within the wage record database during a quarter as each wage record represents an employer-employee relationship, i.e. a job held. In other words, if a person holds multiple jobs, then he will show up multiple times in this database. Also, more than one jobholder may occupy a job during a quarter due to employee turnover. As a result, the counts of jobs held that are shown in the WED data, which are developed from the UI wage records, will exceed the monthly counts of jobs that are reported in the Labor Situation and other products, which are obtained from other establishment surveys and reports of jobs filled during the week including the 12th of the month.
|Age by Gender|
|Age by Industry|
|Age by Region|
|Jobs Held by Age|
|Jobs Held by Gender|
|Jobs Held by Industry|
|Jobs Held by Region|
|Wages Earned by Age|
|Wages Earned by Gender|
|Wages Earned by Industry|
|Wages Earned by Region|