The Census Bureau Seeks Comments on the Longitudinal Employer-Household Dynamics
The Census Bureau is seeking comments on its Longitudinal Employer-Household Dynamics (LEHD) information collection. Comments are due on this collection for the Local Employment Dynamics (LED) data series by February 6, 2017.
LEHD Information Collection Methods
The data products created by the LEHD program are not generated by a traditional survey. Rather, all input data required is collected electronically. This transfer of data is governed by Memoranda of Understandings (MOUs) with each state labor market information (LMI) and Unemployment Insurance (UI) agency partner.
The Value of LEHD Data
A 21st century statistical system must provide information about the dynamic economy quickly, using data assets efficiently while minimizing the burden of collecting and providing data and fully preserving confidentiality.
The Census Bureau's LEHD program has demonstrated the power and usefulness of linking multiple business and employee data sets with state-of-the-art confidentiality protections to build a longitudinal national frame of jobs.
Quarterly Workforce Indicator Public Use
The flagship data product of the LEHD program is the QWI Public Use, which provides 32 statistical indicators on employment, job creation and destruction, accessions (hires and recalls), and separations (e.g. exits and layoffs). These statistics are released for the following by groups for all quarters for which data are available for each partner state:
- County, metropolitan, and workforce investment area,
- Age, sex, race, and ethnicity categories, and
- Detailed industry (i.e., type, firm age, firm size).
LEHD Origin Destination Employment Statistics (LODES)
LODES data provide detailed spatial distributions of workers' employment and residential locations and the relation between the two at the Census Block level.
Job-to-Job Flows (J2J)
J2J is a new set of statistics on worker reallocation in the U.S. constructed from the LEHD data. The initial release of national data distinguishes hires and separations associated with job change from hires and separations to non-employment.