Benchmark Article (PDF version)

BLS Establishment Estimates Revised to Incorporate March 2007 Benchmarks

Introduction

Daniel Jackson

Daniel Jackson is an economist in the Division of Current Employment Statistics, Office of Employment and Unemployment Statistics, Bureau of Labor Statistics.  Telephone: (202) 691-6555; e-mail: CESInfo@bls.gov

With the release of data for January 2008, the Bureau of Labor Statistics (BLS) introduced its annual revision of national estimates of employment, hours, and earnings from the Current Employment Statistics (CES) monthly survey of nonfarm establishments.  Each year, the CES survey realigns its sample-based estimates to incorporate universe counts of employment—a process known as benchmarking.  Comprehensive counts of employment, or benchmarks, are derived primarily from unemployment insurance (UI) tax reports that nearly all employers are required to file with State Workforce Agencies.

Summary of the benchmark revisions

The March 2007 benchmark level for total nonfarm employment is 136,533,000; this figure is 293,000 below the sample-based estimate for March 2007, an adjustment of -0.2 percent.  Table 1 shows the total nonfarm percentage benchmark revisions for the past ten years.

Table 2 shows the nonfarm employment benchmarks for March 2007, not seasonally adjusted, by industry.  As is usually the case, benchmark revisions at many industry levels were larger in percentage terms than at total nonfarm, but were offsetting. No individual supersector dominated in terms of the size of revision. Six supersectors had downward revisions. The largest downward revision occurred in manufacturing with a revision of -137,000, or -1.0 percent. The revision is concentrated in machinery, revised by -33,900 or -2.9 percent, plastic and rubber products, revised by -33,400 or -4.4 percent, and computer and electronic products, revised by -29,000 or -2.3 percent.

Other supersectors had downward revisions of similar magnitude. Estimates in financial activities were revised -111,000, or -1.3 percent, while estimates were revised downward by 108,000, or 0.8 percent, in leisure and hospitality. Within financial activities, insurance carriers was revised -47,700, or -3.4 percent. Limited-service eating places revised in leisure and hospitality by -46,000, or -1.1.

Information had a revision of -54,000, or -1.8 percent. Most of the revision in information was driven by telecommunications, which was revised down by 29,600, or -2.9 percent. Other supersectors with downward revisions were government (-52,000, or -0.2 percent) and education and health services (-39,000, or -0.2 percent).

Four supersectors had upward revisions. Trade, transportation, and utilities was revised upward by 140,000, or 0.5 percent. Within the supersector, retail trade dominated with a revision of 107,500, or 0.7 percent. Also contributing was an upward revision in wholesale trade of 21,500, or 0.4 percent, and an upward revision in transportation and warehousing of 11,500, or 0.3 percent. The other supersectors with upward revisions were professional and business services (revised up 44,000 or 0.2 percent), other services (18,000 or 0.3 percent), and construction (6,000 or 0.1 percent).

Revisions in the post-benchmark period

Post-benchmark period estimates from April 2007 to October 2007 were calculated for each month based on new benchmark levels, new model-based estimates for the net of birth/death employment, and a slightly new sample composition resulting from the annual sample update (beginning with November).

Text table A shows the net birth/death model figures for the supersectors over the post-benchmark period.  From April 2007 to December 2007, the cumulative net birth/death model added 883,000, compared with 1,059,000 in the previously published April to December estimates.

Text table A. Net Birth/Death Estimates, Post-Benchmark 2007

Natural Resources & Mining Construction Manufacturing Trade, Transportation, & Utilities Information Financial Activities Professional & Business Services Education & Health Services Leisure & Hospitality Other Services Monthly Amount Contributed
2007 April 2 37 -14 30 2 1 48 47 95 14 262
May 1 38 5 26 2 5 8 6 76 7 174
June 2 26 4 17 -1 5 16 -10 90 6 155
July 1 2 -17 -11 -5 -5 -6 -3 55 -8 3
August 1 14 3 16 4 6 17 11 26 4 102
September 1 11 1 19 0 5 6 14 -30 2 29
October 0 12 -8 22 1 11 38 24 -29 0 71
November 0 -6 2 13 2 3 7 7 -11 0 17
December 1 -7 2 19 2 17 9 7 16 4 70
Cumulative Total  9 127 -22 151 7 48 143 103 288 29 883

Why benchmarks differ from estimates

A benchmark revision is the difference between the benchmark employment level for a given March and its corresponding sample-based estimate.  The overall accuracy of the establishment survey is usually gauged by the size of this difference.  The benchmark revision often is regarded as a proxy for total survey error, but this does not take into account error in the universe data.  The employment counts obtained from quarterly unemployment insurance tax forms are administrative data that reflect employer record-keeping practices and differing State laws and procedures.  The benchmark revision can be more precisely interpreted as the difference between two independently derived employment counts, each subject to its own error sources.

 

Like all sample surveys, the establishment survey is susceptible to two sources of error:  sampling error and nonsampling error.  Sampling error is present any time a sample is used to make inferences about a population.  The magnitude of the sampling error, or variance, relates directly to sample size and the percentage of the universe covered by that sample.  The CES monthly survey captures slightly under one-third of the universe, exceptionally high by usual sampling standards.  This coverage insures a small sampling error at the total nonfarm employment level.

Both the universe counts and the establishment survey estimates are subject to nonsampling errors common to all surveys—coverage, response, and processing errors.  The error structures for both the CES monthly survey and the UI universe are complex.  Still, the two programs generally produce consistent total employment figures, each validating the other.  Over the last decade, annual benchmark revisions at the total nonfarm level have averaged 0.2 percent, with an absolute range from less than 0.05 percent to 0.6 percent.

Benchmark revision effects for other data types

The routine benchmarking process results in revisions to the series for production and nonsupervisory workers.  There are no benchmark employment levels for these series; they are revised by preserving ratios of employment for the particular data type to all employees employment prior to benchmarking, and then applying these ratios to the revised all-employee figures.  These figures are calculated at the basic cell level and then aggregated to produce the summary estimates. 

Average weekly hours and average hourly earnings are not benchmarked; they are estimated solely from reports supplied by survey respondents at the basic estimating cell level. 

The aggregate industry level of the hours and earnings series are derived as a weighted average.  The production or nonsupervisory worker employment estimates for the basic cells are used as weights for the hours and earnings estimates for broader industry groupings.  Adjustments of the all employee estimates to new benchmarks may alter the weights, which, in turn, may change the estimates for hours and earnings of production or nonsupervisory workers at higher levels of aggregation.

Generally, new employment benchmarks have little effect on hours and earnings estimates for major groupings.  To influence the hours and earnings estimates of a broader group, employment revisions have to be relatively large and must affect industries that have hours or earnings averages that are substantially different from those of other industries in their group.  Table 4 gives information on the levels of specific hours and earnings series resulting from the March 2007 benchmark.  At the total private level, there was no change in average weekly hours from the previously published level, while average hourly earnings was decreased from the previously published level by 1 cent.

Methods

Benchmark adjustment procedure.  Establishment survey benchmarking is done on an annual basis to a population derived primarily from the administrative file of employees covered by unemployment insurance (UI).  The time required to complete the revision process--from the full collection of the UI population data to publication of the revised industry estimates--is about 10 months.  The benchmark adjustment procedure replaces the March sample-based employment estimates with UI-based population counts for March.  The benchmark therefore determines the final employment levels, while sample movements capture month-to-month trends.

Benchmarks are established for each basic estimating cell and are aggregated to develop published levels.  On a not seasonally adjusted basis, the sample-based estimates for the year preceding and the year following the benchmark also are then subject to revision.  Employment estimates for the months between the most recent March benchmark and the previous year's benchmark are adjusted using a "wedge-back" procedure.  In this process, the difference between the benchmark level and the previously published March estimate for each estimating cell is computed.  This difference, or error, is linearly distributed across the 11 months of estimates subsequent to the previous benchmark; eleven-twelfths of the March difference is added to February estimates, ten-twelfths to January estimates, and so on, ending with the previous April estimates, which receive one-twelfth of the March difference.  The wedge procedure assumes that the total estimation error accumulated at a steady rate since the last benchmark.  Applying previously derived over-the-month sample changes to the revised March level yields revised estimates for the months following the March benchmark.  New net birth/death model estimates also are calculated and applied during post-benchmark estimation, and new sample is introduced from the annual update.

Benchmark source material.  The principal source of benchmark data for private industries is the Quarterly Census of Employment and Wages (QCEW).  These employment data are provided to State Employment Security Agencies by employers covered by State UI laws.  BLS uses several other sources to establish benchmarks for the remaining industries partially covered or exempt from mandatory UI coverage, accounting for nearly 3 percent of the nonfarm employment total.

Data on employees covered under Social Security laws, published by the U.S. Census Bureau in County Business Patterns, are used to augment UI data for industries not fully covered by the UI scope, such as nonoffice insurance sales workers, child daycare workers, religious organizations, and private schools and hospitals.  Benchmarks for State and local government hospitals and educational institutions are based on the Annual Census of Governments conducted by the Census Bureau.  Benchmark data from these sources are available only on a lagged basis.  Extrapolation to a current level is accomplished by applying the employment trends from the UI-covered part of the population in these industries to the noncovered part.  Universe data for interstate railroads are obtained from the Railroad Retirement Board.

Business birth and death estimation.  Regular updating of the CES sample frame with information from the UI universe files helps to keep the CES survey current with respect to employment from business births and business deaths.  The timeliest UI universe files available, however, always will be a minimum of 9 months out of date.  The CES survey thus can not rely on regular frame maintenance alone to provide estimates for business birth and death employment contributions.  BLS has researched both sample-based and model-based approaches to measuring birth units that have not yet appeared on the UI universe frame.  Since the research demonstrated that sampling for births was not feasible in the very short CES production timeframes, the Bureau is utilizing a model-based approach for this component.

Earlier research indicated that while both the business birth and death portions of total employment are generally significant, the net contribution is relatively small and stable.  To account for this net birth/death portion of total employment, BLS is utilizing an estimation procedure with two components.  The first component uses business deaths to impute employment for business births.  This is incorporated into the sample-based link relative estimate procedure by simply not reflecting sample units going out of business, but imputing to them the same trend as the other firms in the sample.  The second component is an ARIMA time series model designed to estimate the residual net birth/death employment not accounted for by the imputation.  The historical time series used to create and test the ARIMA model was derived from the UI universe micro level database, and reflects the actual residual net of births and deaths over the past five years.  The net birth/death model component figures are unique to each month and include negative adjustments in some months.  Furthermore, these figures may exhibit a seasonal pattern observed in the historical UI universe data series.

Availability of revised data

LABSTAT, the BLS public database on the Internet, contains all historical employment, hours, and earnings data revised as a result of this benchmark, including both unadjusted and seasonally adjusted data.  The data can be accessed at http://www.bls.gov/ces/, the Current Employment Statistics homepage. 

Conversion to the 2007 North American Industry Classification System

Also with the release of the January 2008 data, the CES national nonfarm payroll series were updated to the 2007 North American Industry Classification System (NAICS) from the 2002 NAICS basis.  The conversion to NAICS 2007 resulted in minor definitional changes within the manufacturing, information, financial activities, and professional and technical services sectors.  The most significant revisions are in the Information sector, particularly within the Telecommunications area.  None of the revisions crossed supersector boundaries. 

In order to avoid time series breaks, all impacted series were reconstructed back to at least 1990.  For a small number of series, the reconstruction extends back prior to 1990, to the previously existing start date of the series. The reconstruction methodology is based on the first quarter 2007 unemployment insurance (UI) microdata, which were coded on both a 2002 NAICS and a 2007 NAICS basis.  Ratios were established from this dual coded file; the ratios were used to map employment from the 2002 NAICS series to the 2007 NAICS series.  For example, the March 2007 employment ratios for 2007 NAICS subsector 50-5171 (wired telecommunications carriers) indicate that 71.6 percent of the series is formed from 2002 NAICS 50-5171, 23 percent of it comes from 2002 NAICS 50-5175 (cable and other program distribution), and 5.4 percent is from 2002 NAICS 50-5181 (ISPs and web search portals).  These ratios were applied to the 2002 NAICS series and the results were summed to derive the 2007 NAICS series.  The 2002 NAICS to 2007 NAICS employment ratios, or distribution of employment from 2002 NAICS to 2007 NAICS, can be seen in exhibit 1.  The 2007 NAICS to 2002 NAICS employment ratios, or the composition of the 2007 NAICS series from 2002 NAICS , can be seen in exhibit 2. 

Exhibit 1.  2002 NAICS to 2007 NAICS employment ratios

CES NAICS 2002 Tabcode 2002 Industry CES NAICS 2007 Tabcode 2007 Industry Ratio
31-334200 Communications equipment 31-334200 Communications equipment 96.3
31-334200 Communications equipment 31-334515 Electricity and signal testing instruments 3.7
31-339100 Medical equipment and supplies 31-333200 Industrial machinery 0.3
31-339100 Medical equipment and supplies 31-333400 HVAC and commercial refrigeration equipment 0.1
31-339100 Medical equipment and supplies 31-333990 All other general purpose machinery 0.4
31-339100 Medical equipment and supplies 31-337129 Miscellaneous household and institutional furniture 0.9
31-339100 Medical equipment and supplies 31-339100 Medical equipment and supplies 98.4
32-315211 Men's cut and sew apparel contractors 32-314990 All other textile product mills 21
32-315211 Men's cut and sew apparel contractors 32-315211 Men's cut and sew apparel contractors 79
32-315212 Women's cut and sew apparel contractors 32-314990 All other textile product mills 3.9
32-315212 Women's cut and sew apparel contractors 32-315212 Women's cut and sew apparel contractors 96.1
32-326190 Other plastics products 31-336612 Boat Building 0.2
32-326190 Other plastics products 32-326190 Other plastics products 99.8
32-326291 Rubber products for mechanical use 32-326291 Rubber products for mechanical use 91.7
32-326291 Rubber products for mechanical use 32-326299 All other rubber products 8.3
32-326299 All other rubber products 31-336612 Boat Building 0.7
32-326299 All other rubber products 32-326299 All other rubber products 99.3
50-516000 Internet publishing and broadcasting 50-519100 All other information services 100
50-517212 Cellular and other wireless carriers 50-517200 Wireless telecommunications carriers (except satellite) 100
50-517300 Telecommunications resellers 50-517911 Telecommunications resellers 100
50-517500 Cable and other program distribution 50-517100 Wired telecommunications carriers 100
50-518100 ISPs and web search portals 50-517100 Wired telecommunications carriers 41
50-518100 ISPs and web search portals 50-517919 All other telecommunications 28
50-518100 ISPs and web search portals 50-519100 All other information services 31.1
55-525900 Other investment pools and funds 55-525900 Other investment pools and funds 90.4
55-525900 Other investment pools and funds 55-531110 Lessors of residential buildings 4.1
55-525900 Other investment pools and funds 55-531120 Lessors of nonresidential buildings 3.7
55-525900 Other investment pools and funds 55-531130 Miniwarehouse and self-storage unit operators 0.4
55-525900 Other investment pools and funds 55-531190 Lessors of other real estate property 1.4
60-541612 Human resource consulting services 60-541612 Human resource consulting services 72.9
60-541612 Human resource consulting services 60-561312 Executive search services 27.1
60-561310 Employment placement agencies 60-561311 Employment placement agencies 100

 

Exhibit 2.  2007 NAICS to 2002 NAICS employment ratios

CES NAICS 2007 Tabcode 2007 Industry CES NAICS 2002 Tabcode 2002 Industry Ratio
31-333200 Industrial machinery 31-333200 Industrial machinery 99.4
31-333200 Industrial machinery 31-339100 Medical equipment and supplies 0.6
31-333400 HVAC and commercial refrigeration equipment 31-333400 HVAC and commercial refrigeration equipment 99.9
31-333400 HVAC and commercial refrigeration equipment 31-339100 Medical equipment and supplies 0.1
31-333990 All other general purpose machinery 31-333990 All other general purpose machinery 99.1
31-333990 All other general purpose machinery 31-339100 Medical equipment and supplies 0.9
31-334515 Electricity and signal testing instruments 31-334515 Electricity and signal testing instruments 89.3
31-334515 Electricity and signal testing instruments 31-334200 Communications equipment 10.7
31-334515 Electricity and signal testing instruments 31-334515 Electricity and signal testing instruments 89.3
31-334515 Electricity and signal testing instruments 31-334220 Broadcast and wireless communications equipment 10.7
31-336612 Boat building 31-336612 Boat building 98.4
31-336612 Boat building 32-326190 Other plastics products 1.3
31-336612 Boat building 32-326299 All other rubber products 0.3
31-337129 Miscellaneous household and institutional furniture 31-337129 Miscellaneous household and institutional furniture 93.8
31-337129 Miscellaneous household and institutional furniture 31-339100 Medical equipment and supplies 6.2
32-314990 All other textile product mills 32-314990 All other textile product mills 88.3
32-314990 All other textile product mills 32-315211 Men's cut and sew apparel contractors 6.7
32-314990 All other textile product mills 32-315212 Women's cut and sew apparel contractors 5
32-315210 Cut and sew apparel contractors 32-315212 Women's cut and sew apparel contractors 83.3
32-315210 Cut and sew apparel contractors 32-315211 Men's cut and sew apparel contractors 16.7
32-326299 All other rubber products 32-326299 All other rubber products 88.9
32-326299 All other rubber products 32-326291 Rubber products for mechanical use 11.1
50-517100 Wired telecommunications carriers 50-517100 Wired telecommunications carriers 71.6
50-517100 Wired telecommunications carriers 50-517500 Cable and other program distribution 23
50-517100 Wired telecommunications carriers 50-518100 ISPs and web search portals 5.4
50-517200 Wireless telecommunications carriers (except satellite) 50-517212 Cellular and other wireless carriers 92
50-517200 Wireless telecommunications carriers (except satellite) 50-517200 Wireless telecommunications carriers (except satellite) 8
50-517900 Other telecommunications 50-517300 Telecommunications resellers 72.6
50-517900 Other telecommunications 50-518100 ISPs and web search portals 14.6
50-517900 Other telecommunications 50-517900 Satellite and other telecommunications 12.7
50-517911 Telecommunications resellers 50-517300 Telecommunications resellers 100
50-519130 Internet publishing and broadcasting and web search portals 50-516000 Internet publishing and broadcasting 60.8
50-519130 Internet publishing and broadcasting and web search portals 50-518100 ISPs and web search portals 39.2
55-531110 Lessors of residential buildings 55-531110 Lessors of residential buildings 99.5
55-531110 Lessors of residential buildings 55-525900 Other investment pools and funds 0.5
55-531120 Lessors of nonresidential buildings 55-531120 Lessors of nonresidential buildings 98.9
55-531120 Lessors of nonresidential buildings 55-525900 Other investment pools and funds 1.1
55-531130 Miniwarehouse and self-storage unit operators 55-531130 Miniwarehouse and self-storage unit operators 99.5
55-531130 Miniwarehouse and self-storage unit operators 55-525900 Other investment pools and funds 0.5
55-531190 Lessors of other real estate property 55-531190 Lessors of other real estate property 98.5
55-531190 Lessors of other real estate property 55-525900 Other investment pools and funds 1.5
60-561311 Employment placement agencies 60-561310 Employment placement agencies 100
60-561312 Executive search services 60-541612 Human resource consulting services 100

None of the revisions due to the 2007 NAICS conversion crossed supersector boundaries.  However, in some instances, employment levels for impacted supersectors and higher-level aggregates may differ from the previously published levels. Any differences are minimal and are due to rounding of the lower level reconstructed series which are aggregated to form the higher level series.

A comparable procedure is used for hours and earnings series.  Reconstructed hours and earnings for the impacted series are produced from a weighted average of the 2002 NAICS component series, the weights being the 2002 NAICS to 2007 NAICS ratios (described above).  An example of the hours and earnings reconstruction is illustrated in exhibit 3.

Exhibit 3. Hours and earnings reconstruction example using 2007 NAICS code 50-517100 - Wireless telecommunications carriers 1

2002 NAICS Structure 2007 NAICS Structure
2002 NAICS code Ratio 2 Production workers Aggregate hours Aggregate payrolls Production workers Aggregate hours Aggregate payrolls Average weekly hours 4 Average hourly earnings 5
50-5171 1.00 402,300 16,655,000 407,553,000 402,300 16,655,000 407,553,000    
50-5175 1.00 114,500 4,557,000 78,792,000 114,500 4,557,000 78,792,000    
50-5181 0.43 90,400 3,318,000 81,383,000 39,100 1,433,400 35,158,000    
Sum 3 555,900 22,645,400 521,503,000 40.7 23.03

 

1 Data are derived from March 2006 unemployment insurance data

2 The ratio represents the percent of employment in the 2002 NAICS industry that went into a specific 2007 NAICS industry

3 2007 NAICS data where sum represents new level of production workers, aggregate hours, and aggregate payrolls

4 Average weekly hours = aggregate hours/production workers

5 Average hourly earnings = aggregate payrolls/aggregate hours

As mentioned earlier, these ratios were used to reconstruct impacted series back to at least 1990.  For April 2007 forward, the data for all 2007 NAICS series were produced in accordance with standard sample-based estimation techniques.  The employment, hours, and earnings for impacted series were re-estimated using existing sample reports.

Changes to the CES published series

The conversion to 2007 NAICS caused several changes to the CES published series.  Exhibit 4 shows discontinued 2002 NAICS series that have been reclassified into 2007 NAICS.  Exhibit 5 shows new series as a result of 2007 NAICS.  Exhibit 6 shows changes in scope to published series due to the 2007 NAICS reclassification.

Exhibit 4. Discontinued 2002 NAICS series and reclassification into 2007 NAICS series

NAICS 2002 CES NAICS 2002 Tabcode Title Reclassification
516 50-516000 Internet publishing and broadcasting Moved into new 2007 NAICS industry Internet publishing and broadcasting and web search portals (50-519130)
517212 50-517212 Cellular and other wireless carriers Combined with paging (50-517211) as Wireless telecommunications carriers (50-517200)
5173 50-517300 Telecommunications resellers Moved to Other telecommunications (50-519100) as Telecommunications resellers (50-517919)
5175 50-517500 Cable and other program distribution Moved into Wired telecommunications carriers (50-517100)
5181 50-518100 ISPs and web search portals Moved the Web search portals portion to Internet publishing and broadcasting and web search portals (50-519130); Moved ISPs providing services via client-supplied telecommunications connection portion to Other telecommunications (50-517900); Moved the Broadband internet service providers (e.g., cable, DSL) portion to Wired telecommunications carriers (50-517100)

 

Exhibit 5. New series as a result of 2007 NAICS

NAICS 2007 CES NAICS 2007 Tabcode Title Composed of NAICS 2002 industries
5179 50-517900 Other telecommunications Other telecommunications (50-517900) and Telecommunications resellers (50-517300)
517911 50-517911 Telecommunications resellers Telecommunications resellers (50-517300)
51911,2,9 50-519190 All other information services Other information services (50-519100)
51913 50-519130 Internet publishing and broadcasting and web search portals Internet publishing and broadcasting (50-516000) and the web search portals portion of (50-518000)
561311 60-561311 Employment placement agencies Employment placement agencies (60-561310)
561312 60-561312 Executive search services A portion of Human resource consulting services (60-541612)

 

Exhibit 6.  Change in scope due to 2007 NAICS

 NAICS 2007

CES NAICS 2007 Tabcode

Title

Composed of NAICS 2002 industries

33422 31-334220 Broadcasting and wireless communications equipment A portion of Broadcasting and wireless communications equipment (31-334220) devoted to communications signal testing and evaluation equipment was moved to Electricity and signal testing instruments (31-334515)
334515 31-334515 Electricity and signal testing instruments A portion of Broadcasting and wireless communications equipment (31-334220) devoted to communications signal testing and evaluation equipment was added to Electricity and signal testing instruments (31-334515)
33911 31-339100 Medical equipment and supplies Laboratory apparatus and furniture manufacturing was removed from (31-339100) and reclassified into Industrial machinery (31-333200), AC, refrigeration, and forced air heating (31-333415), All other general purpose machinery (31-333900), Surgical appliances and supplies (31-339113), and Miscellaneous household and institutional furniture (31-337129)
3332 31-333200 Industrial machinery Laboratory distilling equipment was removed from Medical equipment and supplies (31-339100) and added into Industrial machinery (31-333200)
333415 31-333415 AC, refrigeration, and forced air heating Laboratory freezers was removed from Medical equipment supplies (31-339100) and added into AC, refrigeration, and forced air heating (31-334150)
339 31-339000 All other general purpose machinery Laboratory furnaces and ovens, Laboratory scales and balances, and Laboratory centrifuges was removed from Medical equipment and supplies (31-339100) and added into All other general purpose machinery (31-339000)
339113 31-339113 Surgical appliances and supplies All other laboratory apparatus and furniture except laboratory distilling equipment, freezers, furnaces, ovens, scales, balances, centrifuges, and furniture was removed from Medical equipment and supplies (31-339100) and added to Surgical appliances and supplies (31-339113)
337129 31-337129 Miscellaneous household and institutional furniture Laboratory furniture (e.g., stools, tables, benches) was removed from Medical equipment and supplies (31-339100) and added to Miscellaneous household and institutional furniture (31-337129)
31521 32-315210 Cut and sew apparel contractors Embroidery contractors removed from Cut and sew apparel contractors (32-315210) and added to All other textile product mills (32-31499)
31499 32-314990 All other textile product mills Embroidery contractors from Cut and sew apparel contractors (32-315210) were added to All other textile product mills (32-314990)
32619 32-326190 Other plastics products Inflatable plastics boats was removed from Other plastic products (32-326190) and moved to Boat building (31-336612)
336612 31-336612 Boat building Inflatable plastics boats from Other plastic products (32-326190) and Inflatable rubber boats from All other rubber products (32-326299) was added to Boat building (31-336612)
326291 32-326291 Rubber product manufacturing for mechanical use Rubber tubing for mechanical use was removed from Rubber product manufacturing for mechanical use (32-326291) and added to All other rubber products (32-326299)
326299 32-326299 All other rubber products Rubber tubing for mechanical use was added to All other rubber products (32-326299), while inflatable rubber boats was moved to Boat building (31-336612)
5171 50-517100 Wired telecommunications carriers The broadband internet service providers (e.g., cable, DSL) portion of (50-518000) and moved to Wired telecommunications carriers (50-517110) along with Cable and other program distribution (50-517500)
5172 50-517200 Wireless telecommunications carriers (except satellite) Paging (50-517211) and Cellular and other wireless carries (50-517212) were discontinued and moved into Wireless telecommunications carriers (except satellite) (50-517200)
517911 50-517911 Telecommunications resellers Telecommunications resellers (50-517310) was moved to Other telecommunications into Telecommunications resellers (50-517911)
5191 50-519100 Other information services All of Internet publishing and broadcasting (50-516000) and the Web search portals portion of (50-518100) was added into Other information services (50-519100), specifically into Internet publishing and broadcasting and web search portals (50-519130)
51913 50-519130 Internet publishing and broadcasting and web search portals All of Internet publishing and broadcasting (50-516000) and the Web search portals portion of (50-518100) into Internet publishing and broadcasting and web search portals (50-519130)
518 50-518000 Data processing, hosting and related services Moved the Web search portals portion of (50-518000) to Internet publishing and broadcasting and web search portals (50-519130) and moved the Internet service providers providing services via client-supplied telecommunications connection portion of (50-518000) to Other telecommunications (50-517900). Also moved the Broadband Internet service providers (e.g., cable, DSL) portion of (50-518000) to Wired telecommunications carriers (50-517100)
5174,9 50-517900 Other telecommunications Telecommunications resellers (50-517310) was added to Other telecommunications into Telecommunications resellers (50-517911)
5259 55-525900 Other investment pools and funds Portions of Other investment pools and funds (55-525900) were moved to Lessors of Residential Buildings (55-531110), Lessors of Nonresidential Buildings (55-531120), Miniwarehouse and self-storage operators (55-531130), and Lessors of other real estate property (55-531190)
53111 55-531110 Lessors of residential buildings A portion of Other investment pools and funds (55-525900) dealing with hybrid or equity REITs primarily leasing residential buildings and dwellings were added to Lessors of residential buildings (55-531110)
53112 55-531120 Lessors of nonresidential buildings A portion of Other investment pools and funds (55-525900) dealing with hybrid or equity REITS primarily leasing nonresidential buildings were added to Lessors of nonresidential buildings (55-531120)
53113 55-531130 Miniwarehouse and self-storage operators A portion of Other investment pools and funds (55-525900) dealing with hybrid or equity REITs primarily leasing miniwarehouses or self-storage units were added to Miniwarehouses and self-storage operators (55-531130)
53119 55-531190 Lessors of other real estate property A portion of Other investment pools and funds (55-525900) dealing with hybrid or equity REITS primarily leasing other real estate property were added to Lessors of other real estate property (55-531190)
541612 60-541612 Human resource consulting services Executive search consulting services was moved out of Human resource consulting services (60-541612) and added into Employment placement agencies (60-561310) creating Executive search services (60-561312)
56131 60-561310 Employment placement agencies and executive search agencies Executive search consulting services was moved out of Human resources consulting services (60-541612) and added into Employment placement agencies (60-561310)

Additionally, the CES program conducts an annual review of sample adequacy for its estimation and publication cells and makes adjustments to the published series as warranted.  This year several all employee series will be discontinued as a result of the annual review of sample employment and universe coverage.  Exhibit 7 shows the discontinued all employee series due to the annual sample adequacy review.

Exhibit 7.  Discontinued all employee series

Industry title

NAICS code

CES industry tabcode

Next highest published level

Office machinery

333313

31-333313

Commercial and service industry machinery (31-333300)

Photographic and photocopying equipment

333315

31-333315

Commercial and service industry machinery (31-333300)

Miscellaneous commercial and service industry machinery

333319

31-333319

Commercial and service industry machinery (31-333300)

Electric lamp bulbs and parts

33511

31-335110

Electric lighting equipment (31-335100 )

Lighting fixtures

33512

31-335120

Electric lighting equipment (31-335100 )

Electric housewares and household fans

335211

31-335211

Small electrical appliances (31-335210)

Household refrigerators and home freezers

335222

31-335222

Major appliances (31-335220)

Current carrying devices

335931

31-335931

Wiring devices (31-335930)

Carburetors, pistons, rings, and valves

 

336311

31-336311

Motor vehicle gasoline engine parts (31-336310)

Gasoline engine and engine parts

336312

31-336312

Motor vehicle gasoline engine parts (31-336310)

Hosiery and sock mills

31511

32-315110

Apparel knitting mills (32-315100)

Men's cut and sew apparel contractors

 

315211

32-315211

Cut and sew apparel contractors(32-315210)

Women's cut and sew apparel contractors

315212

32-315212

Cut and sew apparel contractors(32-315210)

Review of the sample receipts has also led to the discontinuation of production worker, hours, and earnings estimates for some small industries that no longer have sufficient sample.  Exhibits 8 and 9 show the series that will be discontinued.

Exhibit 8. Discontinued production worker, hours, and earnings series

Industry title

NAICS code

CES industry tabcode

Pottery, ceramics, and plumbing fixtures 32711 31-327110
Nonferrous metal, except CU and AL, shaping 33149  31-331490
Iron and steel forging 332111  31-332111
Ball and roller bearings 332991  31-332991
Search, detection, and navigation instruments 334511  31-334511
Motors and generators 335312  31-335312
Switchgear and switchboard apparatus 335313  31-335313
Aircraft engines and engine parts 336412  31-336412
Guided missiles, space vehicles, and parts 336419  31-336419
Sugar 31131  32-311310
Prerecorded tape, CD, and record stores 45122  42-451220

 

Exhibit 9. Discontinued average overtime series

Industry title NAICS code CES industry tabcode
Pottery, ceramics, and plumbing fixtures 32711 31-327110
Nonferrous metal, except CU and AL, shaping 33149 31-331490
Iron and steel forging 332111 31-332111
Ball and roller bearings 332991 31-332991
Search, detection, and navigation instruments 334511 31-334511
Motors and generators 335312 31-335312
Aircraft engines and engine parts 336412 31-336412
Guided missiles, space vehicles, and parts 336419 31-336419
Sugar 31131 32-311310
Leather and hide tanning and finishing and other leather products 3169 32-316900
Finally, the CES program also updated industry titles for a handful of industries.  Exhibit 10 shows series whose titled will be changed.

Exhibit 10. Change in title

NAICS 2007 CES NAICS 2007 Tabcode Original Title New Title
4921 43-492100
Couriers  
Couriers and express delivery services
49211 43-492110
Couriers
Couriers and express delivery services
5172 50-517200
Wireless telecommunications carriers
Wireless telecommunications carriers (except satellite)
5174,9 50-517900
Satellite and other telecommunications
Other telecommunications
518 50-518000
Internet service providers, web search portals, and data processing services
Data processing, hosting and related services
5182 50-518200
Data processing and related services
Data processing, hosting and related services
51821 50-518210
Data processing and related services
Data processing, hosting and related services
54171 60-541710
Physical, engineering, and biological research
Research and development in the physical, engineering, and life sciences
56131 60-561310
Employment placement agencies
Employment placement agencies and executive search agencies
561422 60-561422
Telemarketing bureaus
Telemarketing bureaus and other contact centers
72 70-720000
Accommodations and food services
Accommodation and food services
721 70-721000
Accommodations
Accommodation
7211 70-721100
Traveler accommodations and other longer-term accommodations
Traveler accommodation and other longer-term accommodation
72119 70-721190
Miscellaneous traveler accommodations
Miscellaneous traveler accommodation
721199 70-721199
All other traveler accommodations and rooming and boarding houses
All other traveler accommodation and rooming and boarding houses
722212 70-722212
Cafeterias
Cafeterias, grill buffets, and buffets

Seasonal adjustment procedure

BLS uses X-12 ARIMA software developed by the U.S. Census Bureau to seasonally adjust national employment, hours, and earnings series derived from the CES program.  Individual series are seasonally adjusted using either a multiplicative or an additive model (Exhibit 11), and seasonal adjustment factors are directly applied to the component levels.  For employment, individual 3-digit NAICS levels are seasonally adjusted, and higher level aggregates are formed summing these components.  Seasonally adjusted totals for hours and earnings are obtained by taking weighted averages of the seasonally adjusted data for the component series.

Special model adjustments

Variable survey intervals.  Beginning with the release of the 1995 benchmark, BLS refined the seasonal adjustment procedures to control for survey interval variations, sometimes referred to as the 4- versus 5-week effect.  Although the CES survey is referenced to a consistent concept - the pay period including the 12th of each month - inconsistencies arise because there are sometimes 4 and sometimes 5 weeks between the week including the 12th in a given pair of months.  In highly seasonal industries, these variations can be an important determinant of the magnitude of seasonal hires or layoffs that have occurred at the time the survey is taken, thereby complicating seasonal adjustment.

Standard seasonal adjustment methodology relies heavily on the experience of the most recent 3 years to determine the expected seasonal change in employment for each month of the current year.  Prior to the implementation of the adjustment, the procedure did not distinguish between 4- and 5-week survey intervals, and the accuracy of the seasonal expectation depended in large measure on how well the current year’s survey interval corresponded with those of the previous 3 years.  All else the same, the greatest potential for distortion occurred when the current month being estimated had a 5-week interval but the 3 years preceding it were all 4-week intervals, or conversely when the current month had a 4-week interval but the 3 years preceding it were all 5-week intervals.

BLS adopted REGARIMA (regression with auto-correlated errors) modeling to identify the estimated size and significance of the calendar effect for each published series.  REGARIMA combines standard regression analysis, which measures correlation among two or more variables, with ARIMA modeling, which describes and predicts the behavior of data series based on its own past history.  For many economic time series, including nonfarm payroll employment, observations are auto-correlated over time; that is, each month’s value is significantly dependent on the observations that precede it.  These series, therefore, usually can be successfully fit using ARIMA models.  If auto-correlated time series are modeled through regression analysis alone, the measured relationships among other variables of interest may be distorted due to the influence of the auto-correlation.  Thus, the REGARIMA technique is appropriate for measuring relationships among variables of interest in series that exhibit auto-correlation, such as nonfarm payroll employment.

In this application, the correlations of interest are those between employment levels in individual calendar months and the lengths of the survey intervals for those months.  The REGARIMA models evaluate the variation in employment levels attributable to 11 separate survey interval variables, one specified for each month, except March.  March is excluded because there are almost always 4 weeks between the February and March surveys.  Models for individual basic series are fit with the most recent 10 years of data available, the standard time span used for CES seasonal adjustment.

The REGARIMA procedure yields regression coefficients for each of the 11 months specified in the model.  These coefficients provide estimates of the strength of the relationship between employment levels and the number of weeks between surveys for the 11 modeled months.  The X-12 ARIMA software also produces diagnostic statistics that permit the assessment of the statistical significance of the regression coefficients, and all series are reviewed for model adequacy.

Because the 11 coefficients derived from the REGARIMA models provide an estimate of the magnitude of variation in employment levels associated with the length of the survey interval, these coefficients are used to adjust the CES data to remove the calendar effect.  These "filtered" series then are seasonally adjusted using the standard X-12 ARIMA software.

For a few series, REGARIMA models do not fit well; these series are seasonally adjusted with the X-12 software but without the interval effect adjustment.  There are several additional special effects modeled through the REGARIMA process; they are described below.

Construction series.  Beginning with the 1996 benchmark revision, BLS utilized special treatment to adjust construction industry series.  In the application of the interval effect modeling process to the construction series, there initially was difficulty in accurately identifying and measuring the effect because of the strong influence of variable weather patterns on employment movements in the industry.  Further research allowed BLS to incorporate interval effect modeling for the construction industry by disaggregating the construction series into its finer industry and geographic estimating cells and tightening outlier designation parameters.  This allowed a more precise identification of weather-related outliers that had masked the interval effect and clouded the seasonal adjustment patterns in general.  With these outliers removed, interval effect modeling became feasible.  The result is a seasonally adjusted series for construction that is improved because it is controlled for two potential distortions:  unusual weather events and the 4- versus 5-week effect.

Floating holidays.  BLS is continuing the practice of making special adjustments for average weekly hours and average weekly overtime series to account for the presence or absence of religious holidays in the April survey reference period and the occurrence of Labor Day in the September reference period, back to the start date of each series.

Local government series.  A special adjustment also is made in November each year to account for variations in employment due to the presence or absence of poll workers in the local government, excluding educational services series.

Refinements in hours and earnings seasonal adjustment.  With the release of the 1997 benchmark, BLS implemented refinements to the seasonal adjustment process for the hours and earnings series to correct for distortions related to the method of accounting for the varying length of payroll periods across months.  There is a significant correlation between over-the-month changes in both the average weekly hour (AWH) and the average hourly earnings (AHE) series and the number of weekdays in a month, resulting in noneconomic fluctuations in these two series.  Both AWH and AHE show more growth in "short" months (20 or 21 weekdays) than in "long" months (22 or 23 weekdays).  The effect is stronger for the AWH than for the AHE series.

The calendar effect is traceable to response and processing errors associated with converting payroll and hours information from sample respondents with semi-monthly or monthly pay periods to a weekly equivalent.  The response error comes from sample respondents reporting a fixed number of total hours for workers regardless of the length of the reference month, while the CES conversion process assumes that the hours reporting will be variable.  A constant level of hours reporting most likely occurs when employees are salaried rather than paid by the hour, as employers are less likely to keep actual detailed hours records for such employees.  This causes artificial peaks in the AWH series in shorter months that are reversed in longer months.

The processing error occurs when respondents with salaried workers report hours correctly (vary them according to the length of the month), which dictates that different conversion factors be applied to payroll and hours.  The CES processing system uses the hours conversion factor for both fields, resulting in peaks in the AHE series in short months and reversals in long months.

REGARIMA modeling is used to identify, measure, and remove the length-of-pay-period effect for seasonally adjusted average weekly hours and average hourly earnings series.  The length-of-pay-period variable proves significant for explaining AWH movements in all the service-providing industries except retail trade.  For AHE, the length-of-pay-period variable is significant for wholesale trade, financial activities, professional and business services, and other services.  All AWH series in the service-providing industries except retail trade have been adjusted from January 1990 forward.  The AHE series for wholesale trade, financial activities, professional and business services, and other services have been adjusted from January 1990 forward as well.  For this reason, calculations of over-the-year change in the establishment hours and earnings series should use seasonally adjusted data.

The series to which the length-of-pay-period adjustment is applied are not subject to the 4- versus 5-week adjustment, as the modeling cannot support the number of variables that would be required in the regression equation to make both adjustments.  See Exhibit 11 for series that have the calendar effects modeling described above.

Exhibit 11. Model specifications.

Seasonal Adjustment - AE

NAICS Tabcode

Tabcode title

Mode

4/5 week adj

Other adj

1011331000 Logging

MULT

X

 

1021100000 Oil and gas extraction

MULT

X

 

1021200000 Mining, except oil and gas

-

X

Indirect1 

1021210000 Coal mining

MULT

X

 

1021300000 Support activities for mining

ADD

X

 

2023610000 Residential building

-

X

Indirect

2023620000 Nonresidential building - X Indirect
2023700000 Heavy and civil engineering construction

ADD

X

 

2023800000 Specialty trade contractors

-

X

Indirect

2023800100 Residential specialty trade contractors

MULT

X

Raked2

2023800200 Nonresidential specialty trade contractors

ADD

X

Raked

3132100000 Wood products

ADD

X

 

3132700000 Nonmetallic mineral products

ADD

X

 

3133100000 Primary metals

MULT

X

 

3133200000 Fabricated metal products

MULT

X

 

3133300000 Machinery

MULT

X

 

3133400000 Computer and electronic products

-

X

Indirect

3133410000 Computer and peripheral equipment

MULT

X

 

3133420000 Communications equipment

MULT

X

 

3133440000 Semiconductors and electronic components

MULT

X

 

3133450000 Electronic instruments

MULT

X

 

3133500000 Electrical equipment and appliances

MULT

X

 

3133600000 Transportation equipment

ADD

 

 

3133600100 Motor vehicles and parts

ADD

 

 

3133700000 Furniture and related products

MULT

X

 

3133900000 Miscellaneous manufacturing

MULT

X

 

3231100000 Food manufacturing

MULT

X

 

3231200000 Beverages and tobacco products

MULT

X

 

3231300000 Textile mills

MULT

X

 

3231400000 Textile product mills

MULT

X

 

3231500000 Apparel

MULT

X

 

3231600000 Leather and allied products

MULT

X

 

3232200000 Paper and paper products

MULT

X

 

3232300000 Printing and related support activities

MULT

X

 

3232400000 Petroleum and coal products

MULT

X

 

3232500000 Chemicals

MULT

X

 

3232600000 Plastics and rubber products

MULT

X

 

4142300000 Durable goods

MULT

X

 

4142400000 Nondurable goods

MULT

X

 

4142500000 Electronic markets and agents and brokers

MULT

X

 

4244100000 Motor vehicle and parts dealers

-

X

Indirect

4244110000 Automobile dealers

MULT

X

 

4244200000 Furniture and home furnishings stores

MULT

X

 

4244300000 Electronics and appliance stores

MULT

X

 

4244400000 Building material and garden supply stores

MULT

X

 

4244500000 Food and beverage stores

MULT

X

 

4244600000 Health and personal care stores

MULT

X

 

4244700000 Gasoline stations

MULT

X

 

4244800000 Clothing and clothing accessories stores

MULT

X

 

4245100000 Sporting goods, hobby, book, and music stores

MULT

X

 

4245200000 General merchandise stores

-

X

Indirect

4245210000 Department stores

MULT

X

 

4245300000 Miscellaneous store retailers

MULT

X

 

4245400000 Nonstore retailers

MULT

X

 

4348100000 Air transportation

MULT

X

 

4348200000 Rail transportation

ADD

X

 

4348300000 Water transportation

MULT

X

 

4348400000 Truck transportation

ADD

X

 

4348500000 Transit and ground passenger transportation

ADD

 

 

4348600000 Pipeline transportation

MULT

X

 

4348700000 Scenic and sightseeing transportation

MULT

X

 

4348800000 Support activities for transportation

ADD

X

 

4349200000 Couriers and messengers

MULT

X

 

4349300000 Warehousing and storage

ADD

X

 

4422100000 Utilities

MULT

X

 

5051100000 Publishing industries, except Internet

MULT

X

 

5051200000 Motion picture and sound recording industries

MULT

X

 

5051500000 Broadcasting, except Internet

MULT

X

 

5051700000 Telecommunications

MULT

X

 

5051800000 Data processing, hosting, and related services

MULT

X

 

5051900000 Other information services

MULT

X

 

5552100000 Monetary authorities-central bank

ADD

X

 

5552200000 Credit intermediation and related activities

-

X

Indirect

5552210000 Depository credit intermediation

MULT

X

 

5552211000 Commercial banking

MULT

X

 

5552300000 Securities, commodity contracts, investments

MULT

X

 

5552400000 Insurance carriers and related activities

MULT

X

 

5552500000 Funds, trusts, and other financial vehicles

MULT

X

 

5553100000 Real estate

ADD

X

 

5553200000 Rental and leasing services

MULT

X

 

5553300000 Lessors of nonfinancial intangible assets

MULT

X

 

6054100000 Professional and technical services

-

X

Indirect

6054110000 Legal services

MULT

X

 

6054120000 Accounting and bookkeeping services

ADD

X

 

6054130000 Architectural and engineering services

ADD

X

 

6054150000 Computer systems design and related services

ADD

X

 

6054160000 Management and technical consulting services

MULT

X

 

6055100000 Management of companies and enterprises

MULT

X

 

6056100000 Administrative and support services

-

X

Indirect

6056130000 Employment services

MULT

X

 

6056132000 Temporary help services

MULT

X

 

6056140000 Business support services

ADD

X

 

6056170000 Services to buildings and dwellings

MULT

X

 

6056200000 Waste management and remediation services

MULT

X

 

6561100000 Educational services

MULT

X

 

6562100000 Ambulatory health care services

-

X

Indirect

6562110000 Offices of physicians

MULT

X

 

6562140000 Outpatient care centers

MULT

X

 

6562160000 Home health care services

ADD

X

 

6562200000 Hospitals

MULT

X

 

6562300000 Nursing and residential care facilities

-

X

Indirect

6562310000 Nursing care facilities

MULT

X

 

6562400000 Social assistance

-

Indirect

6562440000 Child day care services

ADD

X

 

7071100000 Performing arts and spectator sports

MULT

X

 

7071200000 Museums, historical sites, zoos, and parks

MULT

X

 

7071300000 Amusements, gambling, and recreation

MULT

X

 

7072100000 Accommodation

MULT

X

 

7072200000 Food services and drinking places

ADD

X

 

8081100000 Repair and maintenance

MULT

X

 

8081200000 Personal and laundry services

MULT

X

 

8081300000 Membership associations and organizations

ADD

 

 

9091100000 Federal, except U.S. Postal Service

ADD

X

 

9091912000 U.S. Postal Service

MULT

X

9092161100 State government education

ADD

X

 

9092200000 State government, excluding education

MULT

X

 

9093161100 Local government education

ADD

X

 

9093200000 Local government, excluding education

ADD

X

Election adjustment3

 

Seasonal Adjustment - WW
NAICS Tabcode Tabcode title Mode 4/5 week adj Other adj
1000000000 Natural resources and mining MULT X  
1021000000 Mining MULT X  
2000000000 Construction MULT X  
3100000000 Durable goods MULT X  
3200000000 Nondurable goods MULT X  
4142000000 Wholesale trade MULT X  
4200000000 Retail trade MULT X  
4300000000 Transportation and warehousing MULT X  
4422000000 Utilities MULT X  
5000000000 Information MULT X  
5552000000 Finance and insurance MULT X  
5553000000 Real estate and rental and leasing MULT X  
6054000000 Professional and technical services MULT X  
6055000000 Management of companies and enterprises ADD X  
6056000000 Administrative and waste services MULT X  
6561000000 Educational services MULT X  
6562000000 Health care and social assistance MULT X  
7071000000 Arts, entertainment, and recreation MULT X  
7072000000 Accommodation and food services ADD X  
8000000000 Other services ADD X  
9091000000 Federal MULT X  
9092000000 State government MULT X  
9093000000 Local government MULT X Election adjustment3

 

Seasonal Adjustment - PW
NAICS Tabcode  Tabcode title

Mode

4/5 week adj

Other adj

   

 

 

 

1000000000 Natural resources and mining

ADD

X

 

2000000000 Construction

ADD

X

 

3132100000 Wood products

ADD

X

 

3132700000 Nonmetallic mineral products

ADD

X

 

3133100000 Primary metals

MULT

X

 

3133200000 Fabricated metal products

MULT

X

 

3133300000 Machinery

MULT

X

 

3133400000 Computer and electronic products

MULT

X

 

3133500000 Electrical equipment and appliances

MULT

X

 

3133600000 Transportation equipment

MULT

 

 

3133600100 Motor vehicles and parts

ADD

 

 

3133700000 Furniture and related products

MULT

X

 

3133900000 Miscellaneous manufacturing

MULT

X

 

3231100000 Food manufacturing

MULT

X

 

3231200000 Beverages and tobacco products

ADD

X

 

3231300000 Textile mills

MULT

X

 

3231400000 Textile product mills

MULT

X

 

3231500000 Apparel

MULT

X

 

3231600000 Leather and allied products

MULT

X

 

3232200000 Paper and paper products

MULT

X

 

3232300000 Printing and related support activities

MULT

X

 

3232400000 Petroleum and coal products

MULT

X

 

3232500000 Chemicals

ADD

X

 

3232600000 Plastics and rubber products

MULT

X

 

4142000000 Wholesale trade

MULT

X

 

4200000000 Retail trade

MULT

X

 

4300000000 Transportation and warehousing

MULT

X

 

4422000000 Utilities

MULT

X

 

5000000000 Information

MULT

X

 

5500000000 Financial activities

ADD

X

 

6000000000 Professional and business services

ADD

X

 

6500000000 Education and health services

MULT

X

 

7000000000 Leisure and hospitality

ADD

X

 

8000000000 Other services

MULT

X

 

 

Seasonal Adjustment - AWH

NAICS Tabcode

 Tabcode title

Mode

4/5 week adj

10/11 day adj

Easter/Labor Day adj

 

 

 

 

 

 

1000000000 Natural resources and mining

MULT

X

 

X

2000000000 Construction

ADD

X

 

X

3132100000 Wood products

MULT

X

 

X

3132700000 Nonmetallic mineral products

MULT

X

 

X

3133100000 Primary metals

MULT

X

 

X

3133200000 Fabricated metal products

MULT

X

 

X

3133300000 Machinery

MULT

X

 

X

3133400000 Computer and electronic products

MULT

X

 

X

3133500000 Electrical equipment and appliances

MULT

X

 

X

3133600000 Transportation equipment

MULT

X

 

X

3133600100 Motor vehicles and parts

MULT

X

 

X

3133700000 Furniture and related products

MULT

X

 

X

3133900000 Miscellaneous manufacturing

MULT

X

 

X

3231100000 Food manufacturing

MULT

X

 

X

3231200000 Beverages and tobacco products

MULT

X

 

X

3231300000 Textile mills

ADD

X

 

X

3231400000 Textile product mills

MULT

X

 

X

3231500000 Apparel

MULT

X

 

X

3231600000 Leather and allied products

MULT

X

 

X

3232200000 Paper and paper products

MULT

X

 

X

3232300000 Printing and related support activities

MULT

X

 

X

3232400000 Petroleum and coal products

MULT

X

 

X

3232500000 Chemicals

MULT

X

 

 

3232600000 Plastics and rubber products

MULT

X

 

X

4142000000 Wholesale trade

MULT

 

X

X

4200000000 Retail trade

MULT

 

X

 

4300000000 Transportation and warehousing

MULT

 

X

X

4422000000 Utilities

MULT

X

 

 

5000000000 Information

MULT

 

X

 

5500000000 Financial activities

MULT

 

X

 

6000000000 Professional and business services

MULT

 

X

X

6500000000 Education and health services

MULT

 

X

 

7000000000 Leisure and hospitality

MULT

 

X

 

8000000000 Other services

MULT

 

X

X

 

Seasonal Adjustment - AHE

NAICS Tabcode

 Tabcode title

Mode

4/5 week adj

10/11 day adj

 

 

 

 

 

1000000000 Natural resources and mining

MULT

X

 

2000000000 Construction

MULT

X

 

3100000000 Durable goods

ADD

X

 

3200000000 Nondurable goods

MULT

X

 

4142000000 Wholesale trade

ADD

 

X

4200000000 Retail trade

MULT

 

X

4300000000 Transportation and warehousing

MULT

X

 

4422000000 Utilities

ADD

X

 

5000000000 Information

MULT

 

X

5500000000 Financial activities

MULT

 

X

6000000000 Professional and business services

MULT

 

X

6500000000 Education and health services

MULT

X

 

7000000000 Leisure and hospitality

MULT

X

 

8000000000 Other services

MULT

 

X

 

Seasonal Adjustment Comparison - AOT

NAICS Tabcode

 Tabcode title

Mode

4/5 week adj

10/11 day adj

Easter/Labor Day  adj

31000000

Durable goods

MULT

X

 

X

32000000

Nondurable goods

MULT

X

 

X

 

1 Seasonal adjustment occurs at the lowest available industry level.

2 Residential and nonresidential specialty trade estimates are raked to the specialty trade estimates to ensure consistency.

Special adjustment for the presence/absence of poll workers in local government

Last Modified Date: February 1, 2008