Program Overview
LAUS
Local Area Unemployment
Statistics (LAUS)
Local Area Unemployment Statistics Methodology (BLS)
The civilian labor force are estimates of all persons in the civilian noninstitutional population, 16 years of age or older and are either employed or unemployed. The published estimates; labor force, employment, unemployment and unemployment rate, are produced monthly and revised annually for the following areas:
• United States
• North Carolina State
• 15 North Carolina Metropolitan Statistical Areas
• 27 North Carolina Micropolitan Statistical Areas
• Nine North Carolina Combined Statistical Areas
• 100 North Carolina Counties
• 35 North Carolina Cities (population of 25,000 or more) 17 Towns and Nine
City Parts
• 23 Workforce Development Boards
• Eight Prosperity Zones
Data from 1976 to the current month can be found on this website.
Monthly labor force estimates for the United States are computed from data
collected through the Current Population Survey (CPS). This survey is compiled
by the Census Bureau for the Bureau of Labor Statistics (BLS). Approximately
60,000 households across the nation are sampled on a rotating basis. Of the
60,000 households, about 1,500 are surveyed in North Carolina. Two data series,
seasonally adjusted and not seasonally adjusted are provided. In the seasonally
adjusted series, normal seasonal fluctuations have been smoothed so the monthly
estimates can be more meaningfully compared to each other. Not seasonally
adjusted is not smoothed so the data is more difficult to compare since changes
could be due to seasonal and/or economic changes.
Statewide labor force estimates are calculated using the State Time-series
Analysis and Review System (STARS) developed and approved by BLS. This model is
used by all states but is tailored to the economic makeup of each individual
state. Key elements in the STARS model are monthly state CPS employment and
unemployment data mentioned above. Once data is entered for all states, the
total employment and unemployment estimates are adjusted to match the CPS
national estimates and individual state estimates are produced. As with the
United States, statewide estimates are published as seasonally adjusted and not
seasonally adjusted data series.
Labor force estimates for counties and other areas below the state level are
developed using a building block approach called the Handbook method. This BLS
developed and approved method is also used by all states and produces not
seasonally adjusted data only. Employment estimates are calculated using
industry or place of work employment data from the Current Employment
Statistics (CES) or Quarterly Census of Employment and Wages (QCEW) programs.
They are adjusted to a place of residence estimate by applying a dynamic
residency ratio (DRR) provided by BLS. The DRR is derived by using commuting
patterns existing during the decennial census to determine the employment
relationships between areas. Two additional ratios are also provided by BLS to
capture agricultural and other (self-employed, unpaid family workers, domestic
workers, etc.) employment that may not covered by industry employment.
Unemployment estimates include all individuals who are unemployed in an area
regardless of whether they filed claims for unemployment benefits. Key elements
in estimating unemployment include counts of individuals filing unemployment
insurance (UI) claims, exhaustees (persons who have
exhausted their unemployment insurance benefits or are not filing for them), new entrants to the labor market, and reentrants who are
returning after an extended absence from the labor force. Exhaustees,
new entrants and reentrants are calculated using ratios provided by BLS.
Usually the sum of the employment and unemployment estimates for all areas do
not match the statewide totals, so factors called additivity adjustments are
applied to the area estimates to compensate. The estimates are then
disaggregated to all counties and some cities using population controls
extracted from census data and claims data.
All estimates are revised annually during a process called benchmarking to
include new population controls, revised UI claims, revised CES estimates and
updated QCEW data.