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The ABCs of LMI

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LMI has been around a while. 1869: first state bureau of labor ... Census: decennial Census data, American Community Survey, Local Employment Dynamics ... – PowerPoint PPT presentation

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Title: The ABCs of LMI


1
The ABCs of LMI
Labor Market Information
Workforce Information
Employment Statistics
2
  • LMI has been around a while
  • 1869 first state bureau of labor statistics
    established in Massachusetts
  • 1884 Bureau of Labor created in Department of
    Interior
  • 1916 first national employment data created
  • 1949 all states involved in federal/state LMI
    system

3
  • Funding
  • Most from BLS through annual cooperative
    agreements (contracts) with states
  • ETA provides funding through annual Workforce
    Information Grants
  • States may generate other funding through WIA,
    special contracts, etc.

4
  • Concepts
  • Employed
  • Worked at least 1 hour for pay
  • During the week including the 12th
  • Unemployed
  • No job attachment
  • Available for and actively seeking work
  • Can be experienced or new or re-entrant
  • Labor force
  • Employed Unemployed
  • 16 years or older
  • Civilian, noninstitutionalized

5
  • Concepts
  • Discouraged Workers
  • Not employed but not seeking work
  • Generally on long-term layoff with no immediate
    prospects
  • Underemployed
  • No generally accepted definition or count
  • Basically anyone working below their skill level
  • May be underemployed by choice

6
  • Concepts
  • Jobs
  • Workers
  • Is data counting jobs or workers?

7
  • Concepts
  • Place of work
  • Place of residence
  • Is data based on where people work or where they
    live?

8
(No Transcript)
9
  • Coding Systems
  • Geography Federal Information Processing System
    (FIPS)
  • Industry North American Industrial
    Classification System (NAICS)
  • Occupation Standard Occupational Code (SOC)

10
  • FIPS
  • Codes for states, counties, MSAs and cities/towns
  • Typically begins with state code followed by
    codes for sub-state areas
  • Example St Louis
  • 29-Missouri
  • 510-St Louis

11
  • NAICS
  • For classifying businesses based on what they do
  • Hierarchical 6-digit system
  • 1st 2 digits represent sector (there are 20
    sectors)
  • 3rd digit represents subsector
  • 4th digit represents industry group
  • 5th digit represents NAICS industry
  • 6th digit represents national industry (rarely
    used)
  • May also see references to supersectors (there
    are 11) where some sectors are combined (e.g.
    trade, transportation and utilities leisure and
    hospitality)

12
  • NAICS
  • Example Auto Manufacturing
  • 33-manufacturing
  • 336-transportation equipment manufacturing
  • 3361-motor vehicle manufacturing
  • 33611-auto light duty motor vehicle
    manufacturing
  • 336111-auto manufacturing, for US industries)

13
  • SOC
  • For classifying workers based on what they do
  • Also hierarchical 6-digit system
  • 820 detailed codes
  • 1st 2 digits represent major group (there are 23
    major groups)
  • 3rd digit represents minor group (96 of those)
  • 4th and 5th digits represent broad occupations
    (449 of those)
  • 6th digit represents specific occupation

14
  • SOC
  • Example Family general practitioners
  • 29-healthcare practitioners technical
    occupations
  • 29-1-health diagnosing treating practitioners
  • 29-106-physicians surgeons
  • 29-1062-family general practitioners)

15
  • More on classification systems
  • Classification of Instructional Programs (CIP)
    classifies education training programs
  • Military Occupation Code (MOC) classifies
    military jobs
  • Crosswalks linking various occupation-related
    codes can be found in ONET

16
  • LMI from BLS
  • Quarterly Census of Employment Wages (QCEW)
  • Current Employment Statistics (CES)
  • Local Area Unemployment Statistics (LAUS)
  • Occupational Employment Statistics (OES)
  • Mass Layoff Statistics (MLS)

17
  • QCEW
  • Data comes from quarterly UI contribution reports
    filed by employers
  • Covers around 97 of all employment
  • Provides employment wages to county level with
    industry detail
  • Available data affected by BLS nondisclosure
    rules
  • Serves as benchmark for CES revisions and basis
    for CES and OES surveys
  • EQUI data comes from QCEW (may be input for WID)
  • NAICS codes for businesses come from the Annual
    Refiling Survey done by QCEW staff
  • Not timely not available until around 6 months
    after quarters end
  • Counts jobs at place of work

18
  • CES
  • Measures monthly employment by industry for
    states and MSAs (not counties)
  • Based on monthly survey of sample of businesses
    (over 400,000 nationally)
  • Includes some workers not counted in QCEW
    (commission salespersons, elected appointed
    govt officials, teachers in summer months who
    are on 12-month contracts)
  • QCEW provides basis for sample and annual
    benchmark revisions
  • Previous month revised with release of latest
    months data
  • Data revised annually based on QCEW
  • Counts jobs at place of work

19
  • LAUS
  • Monthly estimates labor force, employment,
    unemployment and unemployment rate
  • Data for states, MSAs, counties and labor market
    areas
  • Counts workers at place of residence
  • State data comes from regression model, local
    data apportioned from state data using handbook
    methodology national data comes directly from
    Current Population Survey
  • State data based on UI claims, CES employment and
    states CPS sample
  • Includes agricultural workers, self-employed and
    some others not counted in CES or QCEW
  • Data revised annually in benchmark process

20
  • OES
  • Provides employment wage estimates for
    occupations for states and sub-state areas
  • Based on employer survey (1.2 million nationally)
    using QCEW
  • Surveys done twice each year (annual sample
    broken into 2 pieces)
  • Estimates done annually
  • Entire economy covered in 3-year cycle
  • Therefore each years estimates based on 3-year
    average of data
  • Data is not revised
  • Basis for staffing patterns in IOMATRIX

21
  • MLS
  • Tracks serious layoffs closings
  • Standard is 50 or more UI claims, but states can
    set lower trigger

22
Want to know more about BLS programs? See BLS
Handbook of Methods at www.bls.gov/opub/hom
23
  • Employment Projections
  • National projections from BLS every 2 years
  • States produce state and area projections
  • Required by ETA (through Workforce Information
    Grant)
  • Short- and long-term projections done (2 years
    and 10 years out)
  • System developed and supported by state
    groupProjections Managing Partnership
  • Key inputs into projections are QCEW (historical
    industry employment) and OES data (staffing
    patterns)

24
  • Other data sources
  • Census decennial Census data, American Community
    Survey, Local Employment Dynamics
  • Education National Center for Education
    Statistics, state and local sources
  • Income Bureau of Economic Analysis, American
    Community Survey
  • Employer Database
  • Special surveys job vacancies, benefits, etc.
  • Private sources

25
Joe Ward SC Department of Commerce 803-737-3834 jw
ard_at_sccommerce.com
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