The U.S. Labor Department’s Employment and Training Administration (ETA) has now posted materials from its November 14, 2012 Webinar on “Using BLS and Census Disability Statistics for Employment and Training Decisions,” including the
To see and/or listen to these materials, go to Using BLS and Census Disability Statistics for Employment and Training Decisions.
This Webinar consolidated a wealth of information and resources in one place, including
1. how disability is defined for statistical purposes, including the newest definitions;
2. the most important and up-to-date findings on disability and employment;
3. the most important U.S. Bureau of Labor Statistics (BLS) and Census Bureau sources, and how to decide which source best meets your needs;
4. live demos of the two principal Census Bureau customized data tools; and
5. a preview of the soon-to-be-released BLS findings from its special 2012 disability employment survey.
ETA has also published several related disability employment data sources on our Labor Market Information WIN-WIN Network Community of Practice.
1. Data Sources for Workers with Disabilities, a brief (just over 2 pages) resource to make it easy for you to understand and locate employment data for persons with disabilities, focusing on sources that supply information on labor market hardship.
2. Usual weekly earnings tables by disability status (for full-time employees — not all employees) — and also by age, gender, race, and Hispanic ethnicity, for 2009, 2010 and 2011.
3. The Special CPS Disability Supplement Questionnaire — the verbatim questions (which were summarized during the Webinar itself).
We’ve Got Your Number(s) — Key Workforce Trends
If you want to know how the workforce is faring without going through the effort of using customized data tools and checking many Web sites, we’ve done the work for you.
Our new series of tables and charts covers employment, unemployment, earnings, benefits, educational attainment, and poverty for the entire labor force as well as illuminating trends for youth and older workers, and by gender, race, ethnicity, persons with disabilities, veterans, and foreign-born workers.
Each posting includes 1) a spreadsheet showing annual statistics for as far back as consistent data exist, 2) one or more charts, and 3) a narrative explanation of highlights and trends. Each chart includes a narrative summary of the main findings, and data for selected historical high and low points.
For a sneak peek at a few of our charts, see below.
To see the full list, click HERE.
This November 30, 2012 Webinar will present the results of an evaluation of the $50 million State Labor Market Information (LMI) Improvement Grants, used to enhance workforce information in 24 individual states and 6 multi-state consortia. The funds were used for a variety of purposes, including instituting or improving real-time data and green jobs data projects. The Webinar will provide insights into innovative and promising practices that other states can adopt to enhance workforce and economic development decision-making.
To save a seat, sign up NOW. To register, click below.
You're Invited to the
In February 2009, President Obama signed the American Recovery and Reinvestment Act (Recovery Act) into law to address the employment challenges facing America's work-force. Among other investments, the Recovery Act included $500 million to support jobs (also known as "green jobs") in the energy-efficiency and renewable-energy industries. While 90 percent of the U.S. Department of Labor’s (DOL) Recovery Act green-jobs funding went to support training programs for workers, $50 million was reserved for grants to state work-force agencies for improving labor market information (LMI). As part of that effort, 30 state LMI improvement grants were awarded to 24 individual states and to six state consortia to improve LMI on green jobs and enhance the labor exchange infrastructure.
In September 2010, the Employment and Training Administration contracted with Mathematica Policy Research to evaluate the extent to which the State LMI Improvement (SLMII) grant programs achieved their stated purposes. Mathematica was asked to broadly document the activities of all grantees, provide a detailed description of the activities and partnerships for a subset of grantees, and to identify grantees’ challenges and promising practices. This webinar will discuss the results of the evaluation and provide insights that will inform future workforce and economic development decision making.
Registration for this Webinar is limited and seating is on a first-come, first-served basis. Please register today!
Instructions for registering
PLEASE NOTE: If multiple participants from the same location are joining the live event, we encourage you to join at one location. This will allow for a larger number of participants to attend.
The Webinar on Bureau of Labor Statistics’ New Education and Training Data for Employment Projections was held on June 19, 2012. For those who couldn’t attend, you can now obtain the PowerPoint presentation, a recording and a transcript of the Webinar, plus relevant resource links from both BLS and the U.S. Employment and Training Administration, at
In this Webinar, the U.S. Bureau of Labor Statistics described its recently revised system for determining the education and training that individuals typically need to qualify for employment in an occupation, and showcased the results of its research using the new classification system.
We will also soon be posting answers to the questions not provided during the session itself (including a number of valuable sources). Everyone who registered for the Webinar will receive an e-mail notifying them when this additional information is posted.
The existence and extent of skill deficiencies, shortages, and mismatches has been a topic of keen interest for decades. Since 2000, several new data sets — especially the U.S. Bureau of Labor Statistics (BLS) Job Openings and Labor Turnover Survey — have shed light on this important topic.
Although many have used the foregoing terms interchangeably, they reflect separate but inter-related topics. Labor shortages differ from skill shortages, and skill deficiencies, shortages and mismatches are different things. Whatever topic analysts choose to examine, there has been considerable disagreement about whether a problem exists, and if so how serious it is.
To help inform this ongoing discussion, ETA staff have created this repository of research studies and other resources. So far we have included about three dozen studies. To access the full listings, click here: SKILL SHORTAGE, MISMATCH AND DEFICIENCY REPOSITORY.
The most recent studies are shown first. Since analysts typically cover several different sub-topics, a conventional bibliography is unworkable. Instead, in the table we indicate the type of problem(s) each author analyzes; the supply and demand factors examined; whether the study examines the present or past trends vs. projections or forecasts; and whether the study examines the nation, states, and/or localities. This detail will make it easier for you to determine which study best meets your interests.
This repository is a work in progress, and only includes complete information for the newest studies. Except for a few clearly-written conceptual pieces, we are restricting this repository to studies that analyze at least some data. We are certain that we’ve missed some useful work, especially at the state level, so PLEASE suggest additional research, tools, or resources by posting a comment in the field below or by sending documents to the LMI Win-Win Network at firstname.lastname@example.org.
In the table, we abbreviate survey names as follows.
ACS: American Community Survey (Census Bureau)
CES: Current Employment Statistics (BLS)
CPS: Current Population Survey (Census Bureau and BLS)
HWOL: Help-Wanted OnLine (Conference Board)
JOLTS: Job Openings and Labor Turnover Survey (BLS)
OES: Occupational Employment Statistics (BLS)