U.S. Bureau of Labor Statistics Page 1 of 51

Benchmark Article

BLS National Establishment Survey Estimates Revised to 

Incorporate March 2012 Benchmarks

Introduction ..................................................................................................................................... 1

Summary of the benchmark revisions............................................................................................. 2

Revisions in the post-benchmark period ......................................................................................... 9

Changes to the CES published series ............................................................................................ 11

Series changes ........................................................................................................................... 11

Reconstructed data .................................................................................................................... 24

Seasonally adjusted data publication change ............................................................................ 24

Data clarification ........................................................................................................................... 25

Why benchmarks differ from estimates ........................................................................................ 26

Benchmark revision effects for other data types........................................................................... 26

Methods......................................................................................................................................... 33

Benchmark adjustment procedure ............................................................................................ 33

Benchmark source material ...................................................................................................... 33

Business birth and death estimation .......................................................................................... 34

Availability of revised data ........................................................................................................... 35

Small domain model ..................................................................................................................... 35

Seasonal adjustment procedure ..................................................................................................... 36

Special model adjustments ........................................................................................................ 36

Special notice regarding seasonal adjustment for AE hours and earnings ............................... 39

Seasonal adjustment model specifications ................................................................................ 39

Table of figures ............................................................................................................................. 51

Tables ........................................................................................................................................ 51

Exhibits ..................................................................................................................................... 51

Introduction

Kerrie Leslie

Brenda Loya 

Kerrie Leslie and Brenda Loya are economists in the Division of Current Employment Statistics

National, 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 2013 on February 1, 2013, 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.
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

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Summary of the benchmark revisions

The March 2012 benchmark level for Total nonfarm employment is 132,505,000; this figure is 424,000 above the sample-based 

estimate for March 2012, an adjustment of 0.3 percent. Table 1 shows the Total nonfarm percentage benchmark revisions for the past 

ten years. 

Table 1. Percent differences between nonfarm employment benchmarks and estimates by industry supersector, 

March 2002-2012(1)

CES 

Industry 

Code

CES Industry Title 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 

00-000000 Total nonfarm -0.2 -0.1 0.2 -0.1 0.6 -0.2 -0.1 -0.7 -0.3 0.1 0.3

(Level difference in thousands) (-313) (-122) (203) (-158) (752) (-293) (-89) (-902) (-378) (162) (424)

05-000000 Total private -.4 -.2 .2 -.2 .7 -.2 -.1 -.9 -.4 .1 .4

10-000000 Mining and logging .9 .7 -.3 1.2 (2) .4 -3.5 -3.0 -.4 1.6

20-000000 Construction -.8 .6 .5 2.6 .1 .7 -2.9 -1.3 -.5 1.8

30-000000 Manufacturing -1.1 -.4 -.3 -.1 -1.0 -.1 -.7 -1.0 .1 -.2

40-000000 Trade, transportation, 

and utilities

(2) .2 .3 .6 .5 .2 -1.2 -.6 .4 .6

50-000000 Information -2.6 -1.0 -2.1 -.5 -1.8 .3 -1.5 -.4 -.4 1.8

55-000000 Financial activities .2 .1 -.8 .4 -1.3 -.3 -.1 .4 .9 .6

60-000000 Professional and 

business services

-.7 -.2 -.4 1.3 .2 -.4 -.8 (2) .7 (2)

65-000000 Education and health 

services

.3 .2 (2) .5 -.2 -.1 -.3 (2) -.5 (2)

70-000000 Leisure and hospitality .5 1.2 .4 .3 -.8 -1.1 -.6 -.6 .7 .8

80-000000 Other services 1.0 1.4 .5 -1.3 .5 .3 .2 -.8 .2 -2.0 1.1

90-000000 Government .3 .1 (2) (2) -.2 .2 .1 .1 .1 -.3

(1) Differences are based on comparisons of final published March estimates and benchmark levels, as originally published.

(2) Less than 0.05 percent.
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

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Table 2 shows the nonfarm employment benchmarks for March 2012, not seasonally adjusted, 

by industry. The majority of supersectors had upward revisions, with the exception of Education 

and health services, Manufacturing, and Government. The largest upward revision occurred in 

Trade, transportation, and utilities, 145,000, or 0.6 percent. Within this sector, the revision was 

concentrated in Retail trade, which was revised upward by 78,000 or 0.5 percent. Leisure and 

hospitality was revised upward by 104,000 or 0.8 percent, with the largest positive revision of 

64,000 or 0.7 percent in Food services and drinking places. Construction had an upward revision 

of 93,000 or 1.8 percent. The largest share of this revision occurred in Specialty trade 

contractors which had a revision of 60,000 or 1.8 percent. Other services (Repair and 

maintenance, Personal and laundry services, and Membership associations and organizations) 

revised upward by 59,000 or 1.1 percent. Information and Financial activities had upward 

revisions of 47,000 or 1.8 percent and 45,000 or 0.6 percent, respectively. Employment in 

Mining and logging revised up by 13,000 (1.6 percent). The smallest upward revision occurred 

in and Professional and business services, 2,000 (less than 0.05 percent). 

Three supersectors saw negative revisions. The largest downward revision occurred in 

Government, -57,000 or -0.3 percent. Within Government, Local government experienced the 

largest downward revision of -48,000 or -0.3 percent. The largest share of this revision was in 

Local government education with a revision of -66,000 or -0.8 percent. Manufacturing had a 

downward revision of -25,000 or -0.2 percent, which was mostly concentrated in Nondurable 

goods, -20,000 or -0.5 percent. Within Nondurable goods the largest downward revisions 

occurred in Chemicals, -15,000 or -1.9 percent, and Paper and paper products, -12,000 or -3.2 

percent. Education and health services had the smallest downward revision of -2,000 (less than 

0.05 percent), with largely offsetting revisions in Educational services, 28,000 or 0.8 percent, 

and Health care and social assistance, -30,000 or -0.2 percent. 

Table 2. Nonfarm employment benchmarks by industry, March 2012 (in 

thousands)

CES Industry 

Code CES Industry Title Benchmark Estimate Differences

Amount Percent

00-000000 Total nonfarm 132,505 132,081 424 0.3 

05-000000 Total private 110,157 109,676 481 .4 

06-000000 Goods-producing 17,971 17,890 81 .5 

07-000000 Service-providing 114,534 114,191 343 .3 

08-000000 Private service-providing 92,186 91,786 400 .4 

10-000000 Mining and logging 836 823 13 1.6 

10-113300 Logging 47 46 1 2.1 

10-210000 Mining 788 776 12 1.5 

10-211000 Oil and gas extraction 184 191 -7 -3.8 

10-212000 Mining, except oil and 

gas 

216 212 4 1.9 

10-212100 Coal mining 89 86 3 3.4 

10-213000 Support activities for 

mining 389 373 16 4.1 

20-000000 Construction 5,313 5,220 93 1.8 
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CES Industry 

Code CES Industry Title Benchmark Estimate Differences

Amount Percent

20-236000 Construction of buildings 1,182 1,172 10 .8 

20-237000 Heavy and civil 

engineering construction 785 761 24 3.1 

20-238000 Specialty trade 

contractors 3,347 3,287 60 1.8 

30-000000 Manufacturing 11,822 11,847 -25 -.2 

31-000000 Durable goods 7,415 7,420 -5 -.1 

31-321000 Wood products 332 326 6 1.8 

31-327000 Nonmetallic mineral 

products 358 358 0 (1) 

31-331000 Primary metals 400 404 -4 -1.0 

31-332000 Fabricated metal 

products 1,393 1,384 9 .6 

31-333000 Machinery 1,094 1,097 -3 -.3 

31-334000 Computer and electronic 

products 1,097 1,108 -11 -1.0 

31-334100 Computer and peripheral 

equipment 157 163 -6 -3.8 

31-334200 Communications 

equipment 111 110 1 .9 

31-334400 Semiconductors and 

electronic components 385 387 -2 -.5 

31-334500 Electronic instruments 403 402 1 .2 

31-335000 Electrical equipment and 

appliances 370 373 -3 -.8 

31-336000 Transportation 

equipment 1,447 1,448 -1 -.1 

31-337000 Furniture and related 

products 349 348 1 .3 

31-339000 Miscellaneous durable 

goods manufacturing 575 575 0 (1) 

32-000000 Nondurable goods 4,407 4,427 -20 -.5 

32-311000 Food manufacturing 1,434 1,426 8 .6 

32-313000 Textile mills 119 120 -1 -.8 

32-314000 Textile product mills 116 113 3 2.6 

32-315000 Apparel 150 150 0 (1)

32-322000 Paper and paper 

products 380 392 -12 -3.2 

32-323000 Printing and related 

support activities 462 454 8 1.7 

32-324000 Petroleum and coal 

products 110 111 -1 -.9 

32-325000 Chemicals 783 798 -15 -1.9 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

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CES Industry 

Code CES Industry Title Benchmark Estimate Differences

Amount Percent

32-326000 Plastics and rubber 

products 641 643 -2 -.3 

32-329000 

Miscellaneous 

nondurable goods 

manufacturing 

214 220 -6 -2.8 

32-329300 Leather and allied 

products 30 30 0 (1) 

40-000000 Trade, transportation, 

and utilities 25,082 24,937 145 .6 

41-420000 Wholesale trade 5,608 5,563 45 .8 

41-425000 Electronic markets and 

agents and brokers 859 849 10 1.2 

42-000000 Retail trade 14,574 14,496 78 .5 

42-441000 Motor vehicle and parts 

dealers 1,715 1,705 10 .6 

42-441100 Automobile dealers 1,080 1,075 5 .5 

42-442000 Furniture and home 

furnishings stores 432 443 -11 -2.5 

42-443000 Electronics and appliance 

stores 510 504 6 1.2 

42-444000 Building material and 

garden supply stores 1,167 1,151 16 1.4 

42-445000 Food and beverage stores 2,814 2,834 -20 -.7 

42-446000 Health and personal care 

stores 989 988 1 .1 

42-447000 Gasoline stations 827 818 9 1.1 

42-448000 Clothing and clothing 

accessories stores 1,330 1,315 15 1.1 

42-451000 Sporting goods, hobby, 

book, and music stores 560 549 11 2.0 

42-452000 General merchandise 

stores 3,032 3,015 17 .6 

42-452100 Department stores 1,477 1,503 -26 -1.8 

42-453000 Miscellaneous store 

retailers 766 749 17 2.2 

42-454000 Nonstore retailers 432 426 6 1.4 

43-000000 Transportation and 

warehousing 4,348 4,318 30 .7 

43-481000 Air transportation 459 457 2 .4 

43-482000 Rail transportation 230 233 -3 -1.3 

43-483000 Water transportation 62 66 -4 -6.5 

43-484000 Truck transportation 1,313 1,308 5 .4 

43-485000 Transit and ground 

passenger transportation 456 444 12 2.6 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

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CES Industry 

Code CES Industry Title Benchmark Estimate Differences

Amount Percent

43-486000 Pipeline transportation 44 44 0 (1)

43-487000 Scenic and sightseeing 

transportation 23 26 -3 -13.0 

43-488000 Support activities for 

transportation 573 578 -5 -.9 

43-492000 Couriers and messengers 521 519 2 .4 

43-493000 Warehousing and storage 667 644 23 3.4 

44-220000 Utilities 552 561 -9 -1.6 

50-000000 Information 2,672 2,625 47 1.8 

50-511000 Publishing industries, 

except Internet 738 739 -1 -.1 

50-512000 

Motion picture and 

sound recording 

industries 

359 356 3 .8 

50-515000 Broadcasting, except 

Internet 287 282 5 1.7 

50-517000 Telecommunications 866 839 27 3.1 

50-518000 Data processing, hosting 

and related services 252 243 9 3.6 

50-519000 Other information 

services 171 167 4 2.3 

55-000000 Financial activities 7,726 7,681 45 .6 

55-520000 Finance and insurance 5,812 5,762 50 .9 

55-521000 Monetary authorities -

central bank 17 19 -2 -11.8 

55-522000 Credit intermediation 

and related activities 2,570 2,585 -15 -.6 

55-522100 Depository credit 

intermediation 1,742 1,752 -10 -.6 

55-522110 Commercial banking 1,325 1,325 0 (1)

55-523000 Securities, commodity 

contracts, investments 812 800 12 1.5 

55-524000 Insurance carriers and 

related activities 2,327 2,274 53 2.3 

55-525000 Funds, trusts, and other 

financial vehicles 87 85 2 2.3 

55-530000 Real estate and rental 

and leasing 1,914 1,918 -4 -.2 

55-531000 Real estate 1,392 1,395 -3 -.2 

55-532000 Rental and leasing 

services 497 500 -3 -.6 

55-533000 Lessors of nonfinancial 

intangible assets 24 24 0 (1) 
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CES Industry 

Code CES Industry Title Benchmark Estimate Differences

Amount Percent

60-000000 Professional and business 

services 17,601 17,599 2 (1) 

60-540000 Professional and 

technical services 7,883 7,964 -81 -1.0 

60-541100 Legal services 1,113 1,111 2 .2 

60-541200 Accounting and 

bookkeeping services 1,022 1,092 -70 -6.8 

60-541300 Architectural and 

engineering services 1,298 1,299 -1 -.1 

60-541500 Computer systems design 

and related services 1,588 1,569 19 1.2 

60-541600 

Management and 

technical consulting 

services 

1,094 1,110 -16 -1.5 

60-550000 

Management of 

companies and 

enterprises 

1,994 1,934 60 3.0 

60-560000 Administrative and waste 

services 7,725 7,701 24 .3 

60-561000 Administrative and 

support services 7,362 7,338 24 .3 

60-561300 Employment services 2,999 3,031 -32 -1.1 

60-561320 Temporary help services 2,374 2,384 -10 -.4 

60-561400 Business support services 823 816 7 .9 

60-561700 Services to buildings and 

dwellings 1,711 1,674 37 2.2 

60-562000 Waste management and 

remediation services 363 363 0 (1) 

65-000000 Education and health 

services 20,377 20,379 -2 (1) 

65-610000 Educational services 3,504 3,476 28 .8 

65-620000 Health care and social 

assistance 16,873 16,903 -30 -.2 

65-621000 Ambulatory health care 

services 6,244 6,275 -31 -.5 

65-621100 Offices of physicians 2,369 2,406 -37 -1.6 

65-621400 Outpatient care centers 640 650 -10 -1.6 

65-621600 Home health care 

services 1,173 1,170 3 .3 

65-622000 Hospitals 4,773 4,803 -30 -.6 

65-623000 Nursing and residential 

care facilities 3,179 3,183 -4 -.1 

65-623100 Nursing care facilities 1,664 1,660 4 .2 

65-624000 Social assistance 2,677 2,644 33 1.2 
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CES Industry 

Code CES Industry Title Benchmark Estimate Differences

Amount Percent

65-624400 Child day care services 873 856 17 1.9 

70-000000 Leisure and hospitality 13,334 13,230 104 .8 

70-710000 Arts, entertainment, and 

recreation 1,828 1,798 30 1.6 

70-711000 Performing arts and 

spectator sports 388 388 0 (1) 

70-712000 Museums, historical sites, 

and similar institutions 129 128 1 .8 

70-713000 Amusements, gambling, 

and recreation 1,311 1,282 29 2.2 

70-720000 Accommodation and food 

services 11,506 11,432 74 .6 

70-721000 Accommodation 1,751 1,741 10 .6 

70-722000 Food services and 

drinking places 9,755 9,691 64 .7 

80-000000 Other services 5,394 5,335 59 1.1 

80-811000 Repair and maintenance 1,184 1,156 28 2.4 

80-812000 Personal and laundry 

services 1,299 1,287 12 .9 

80-813000 Membership associations 

and organizations 2,911 2,891 20 .7 

90-000000 Government 22,348 22,405 -57 -.3 

90-910000 Federal 2,815 2,811 4 .1 

90-911000 Federal, except U.S. 

Postal Service 2,201 2,198 3 .1 

90-919120 U.S. Postal Service 614 614 0 (1)

90-920000 State government 5,199 5,212 -13 -.3 

90-921611 State government 

education 2,532 2,563 -31 -1.2 

90-922000 State government, 

excluding education 2,667 2,649 18 .7 

90-930000 Local government 14,334 14,382 -48 -.3 

90-931611 Local government 

education 8,165 8,231 -66 -.8 

90-932000 Local government, 

excluding education 6,169 6,151 18 .3 

(1)Less than 0.05 percent.

To Table of Figures
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Revisions in the post-benchmark period

Post-benchmark period estimates from April 2012 to December 2012 were calculated for each month based on new benchmark levels 

and new net birth/death factors. Net birth/death factors were revised to incorporate information from the most recent year of universe 

employment counts. Table 3 shows the net birth/death model figures for the supersectors over the post-benchmark period. From April 

2012 to December 2012, the cumulative net birth/death model added 755,000, compared with 721,000 in the previously published 

April to December estimates. 

Table 3. Net birth/death estimates by industry supersector, April – December 2012 (in thousands)(1)

CES Industry 

Code

CES Industry Title Apr May Jun Jul Aug Sep Oct Nov Dec Cumulative 

Total

10-000000 Mining and logging 1 2 2 2 2 1 2 0 0 12 

20-000000 Construction 28 37 23 3 8 5 1 -16 -22 67 

30-000000 Manufacturing -4 5 3 -5 4 0 0 0 -1 2 

40-000000 Trade, transportation, and utilities 12 23 7 0 16 13 27 1 5 104 

50-000000 Information 2 5 1 -1 3 -1 4 2 0 15 

55-000000 Financial activities 3 7 2 -2 3 0 14 0 10 37 

60-000000 Professional and business services 61 28 12 17 18 -7 60 -4 0 185 

65-000000 Education and health services 22 15 -11 9 15 16 47 3 0 116 

70-000000 Leisure and hospitality 72 76 79 45 18 -40 -40 -21 6 195 

80-000000 Other services 9 7 4 -2 2 -1 3 -1 1 22 

Monthly amount contributed 206 205 122 66 89 -14 118 -36 -1 755 

(1)Formerly Text Table A. 

To Table of Figures
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Table 4 presents revised Total nonfarm employment data on a seasonally adjusted basis for 

January through December 2012. The revised data for April 2012 forward incorporate the effect 

of applying the rate of change measured by the sample to the new benchmark level, as well as 

updated net birth/death model adjustments and new seasonal adjustment factors. Revisions to 

November and December also reflect incorporation of the annual CES sample update. 

Table 4. Differences in seasonally adjusted levels and over-the-month changes, 

Total nonfarm employment, January – December 2012 (in thousands)(1)

2012 

Levels Over-the-month changes

As 

previously 

published

As 

revised Difference 

As 

previously 

published

As 

revised Difference 

January 132,461 132,809 348 275 311 36

February 132,720 133,080 360 259 271 12

March 132,863 133,285 422 143 205 62

April 132,931 133,397 466 68 112 44

May 133,018 133,522 504 87 125 38

June 133,063 133,609 546 45 87 42

July 133,244 133,762 518 181 153 -28

August 133,436 133,927 491 192 165 -27

September 133,568 134,065 497 132 138 6

October 133,705 134,225 520 137 160 23

November 133,866 134,472 606 161 247 86

December(p) 134,021 134,668 647 155 196 41

(1)Formerly Table 3. (p)Preliminary

To Table of Figures
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Changes to the CES published series 

With the release of the January 2013 estimates, CES incorporated series changes related to 

annual sample adequacy review, reconstructed the history of a series, and began publishing 

previously available but not published seasonally adjusted series.

Series changes 

All CES series are evaluated annually for sample size, coverage, and response rates. The 

following series changes result from a re-evaluation of the sample and universe coverage for 

NAICS industries. 

Some series have new CES industry codes or titles as a result of the series changes (Exhibit 1). 

These CES industry code or title changes have been applied to all data types published for the 

designated series. Historical data for these series with new CES industry codes or CES industry 

titles will not be impacted; historical data will be available under the new CES industry codes or 

CES industry titles. 

Exhibit 1. Series with CES industry code or title changes

NAICS 

Code 

Previous New

CES 

Industry 

Code

CES Industry Title 

CES 

Industry 

Code

CES Industry Title 

339 31-339000 Miscellaneous 

manufacturing

31-339000 Miscellaneous durable 

goods manufacturing 

3399 31-339900 Other miscellaneous 

manufacturing

31-339900 Other miscellaneous 

durable goods 

manufacturing

33999 31-339990 All other 

miscellaneous 

manufacturing

31-339990 All other miscellaneous 

durable goods 

manufacturing

3121 32-312100 Beverages 32-329100 Beverages

31211 32-312110 Soft drinks and ice 32-329110 Soft drinks and ice 

312111 32-312111 Soft drinks 32-329111 Soft drinks 

31212,3,4 32-312140 Breweries, wineries, 

and distilleries

32-329140 Breweries, wineries, 

and distilleries

3122 32-312200 Tobacco and tobacco 

products 

32-329200 Tobacco and tobacco 

products 

316 32-316000 Leather and allied 

products 

32-329300 Leather and allied 

products 

To Table of Figures

The remaining series changes exhibits (Exhibit 2 through Exhibit 7) reference the new CES 

industry codes and titles, not the previous CES industry codes and titles, as noted in Exhibit 1. 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

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Only directly estimated data types1 are included in the series changes exhibits: all employees 

(AE), AE average weekly hours (AE AWH), AE average hourly earnings (AE AHE), AE 

average weekly overtime hours (AE AWOH), production employees (PE), women employees 

(WE), PE average weekly hours (PE AWH), PE average hourly earnings (PE AHE), and PE 

average weekly overtime hours (PE AWOH). The directly estimated data types listed except for 

AE are collectively called non-AE data types. In order to more easily identify affected series, 

since AE series are published at a more detailed industry level than non-AE series, series 

changes exhibits are provided split by AE and non-AE data types. The non-AE tables cover all 

directly estimated non-AE data types. 

The first group of series changes exhibits contains three exhibits referencing the AE data type 

and the second group contains three exhibits referencing all non-AE data types. The three 

exhibits in each group display the discontinued, collapsed, and new series. Discontinued series 

exhibits (Exhibit 2 and Exhibit 5) display series for which the data types noted are no longer 

published. Collapsed series exhibits (Exhibit 3 and Exhibit 6) display series for which the data 

types noted are no longer published because the industry no longer has sufficient sample to be 

estimated and published separately. Affected industries have been combined with other similar 

industries for estimation and publication purposes. Historical data for these series were 

reconstructed to provide consistent time series. New series exhibits (Exhibit 4 and Exhibit 7) 

display series for which the data types noted are now published. 

AE exhibits

Exhibit 2. Discontinued AE series

NAICS 

Code

CES Industry 

Code CES Industry Title Next Highest Published Industry 

312 32-312000 Beverages and 

tobacco products

Miscellaneous nondurable goods 

manufacturing (32-329000)

Exhibit 3. Collapsed AE series

NAICS 

Code 

CES 

Industry 

Code

CES Industry Title Collapsed into CES Industry 

221111 44-221111 Hydroelectric power 

generation

Collapsed into Nuclear and other electric 

power generation (44-221118)

3366* 90-913366 Federal ship building 

and repairing 

Collapsed into Other Federal 

government (90-919999) 

*Contains only federally-owned portion of NAICS code.

To Table of Figures

 

1 CES estimates data in two ways: directly and indirectly. Directly estimated data types refer to data types for which 

estimates are calculated directly from the responding sample. Indirectly estimated data types refer to data types for 

which estimates are calculated from other directly estimated data types. Average weekly earnings of all employees 

and indexes of aggregate weekly hours of all employees are examples of indirectly estimated data types. For more 

information on indirectly estimated data types, see the CES Technical Notes. 
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Exhibit 4. New AE series

NAICS Code CES Industry Code CES Industry Title

312,6 32-329000 Miscellaneous nondurable goods manufacturing

To Table of Figures

Non-AE exhibits

The data types within the non-AE classification that are impacted by the series change are noted 

in each of the tables. 

Exhibit 5. Discontinued Non-AE series

NAICS 

Code 

CES 

Industry 

Code

CES Industry 

Title 

Discontinued 

From 

Publication

Next Highest 

Published Industry* 

21232 10-212320 

Sand, gravel, clay, 

and refractory 

mining

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE

Nonmetallic mineral 

mining and quarrying 

(10-212300) for data 

types AE AWH, AE 

AHE; Mining, except oil 

and gas (10-212000) for 

data types PE, PE AWH, 

PE AHE

212321 10-212321 Construction sand 

and gravel mining 

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE

Nonmetallic mineral 

mining and quarrying 

(10-212300) for data 

types AE AWH, AE 

AHE; Mining, except oil 

and gas (10-212000) for 

data types PE, PE AWH, 

PE AHE

21239 10-212390 Other nonmetallic 

mineral mining

AE AWH, AE 

AHE

Nonmetallic mineral 

mining and quarrying 

(10-212300)

236116 20-236116 New multifamily 

general contractors

PE, PE AWH, PE 

AHE

Residential building (20-

236100)

236117 20-236117 New housing 

operative builders

PE, PE AWH, PE 

AHE

Residential building (20-

236100)

321211,2 31-321212 

Hardwood and 

softwood veneer 

and plywood 

AE AWH, AE

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Plywood and engineered 

wood products (31-

321200) 
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NAICS 

Code 

CES 

Industry 

Code

CES Industry 

Title 

Discontinued 

From 

Publication

Next Highest 

Published Industry* 

321213,4,9 31-321214 

All other plywood 

and engineered 

wood products 

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Plywood and engineered 

wood products (31-

321200) 

3271 31-327100 Clay products and 

refractories

PE, PE AWH, PE 

AHE, PE AWOH

Nonmetallic mineral 

products (31-327000)

3274,9 31-327900 

Lime, gypsum, and 

other nonmetallic 

mineral products

PE, PE AWH, PE 

AHE, PE AWOH

Nonmetallic mineral 

products (31-327000) 

3311 31-331100 

Iron and steel mills 

and ferroalloy 

production 

AE AWH, AE 

AHE, AE AWOH

Primary metals (31-

331000) 

3313 31-331300 

Alumina and 

aluminum 

production 

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH

Primary metals (31-

331000) 

33151 31-331510 Ferrous metal 

foundries PE AWOH Foundries (31-331500) 

33152 31-331520 Nonferrous metal 

foundries PE AWOH Foundries (31-331500) 

3322 31-332200 Cutlery and hand 

tools 

AE AWOH, PE, 

PE AWH, PE 

AHE, PE AWOH

Fabricated metal products 

(31-332000) 

332321 31-332321 Metal windows and 

doors 

PE, PE AWH, PE 

AHE, PE AWOH

Ornamental and 

architectural metal 

products (31-332320)

332323 31-332323 

Ornamental and 

architectural metal 

work

PE, PE AWH, PE 

AHE, PE AWOH

Ornamental and 

architectural metal 

products (31-332320)

3325 31-332500 Hardware

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH

Fabricated metal products 

(31-332000) 

3326 31-332600 Spring and wire 

products 

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH

Fabricated metal products 

(31-332000) 

332721 31-332721 Precision turned 

products 

AE AWH, AE 

AHE, AE AWOH

Turned products and 

screws, nuts, and bolts 

(31-332720)
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U.S. Bureau of Labor Statistics Page 15 of 51

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NAICS 

Code 

CES 

Industry 

Code

CES Industry 

Title 

Discontinued 

From 

Publication

Next Highest 

Published Industry* 

332722 31-332722 Bolts, nuts, screws, 

rivets, and washers

AE AWH, AE 

AHE, AE AWOH

Turned products and 

screws, nuts, and bolts 

(31-332720) 

333511 31-333511 Industrial molds PE, PE AWH, PE 

AHE, PE AWOH

Metalworking machinery 

(31-333500)

333515,9 31-333519 

Miscellaneous 

metalworking 

machinery

PE, PE AWH, PE 

AHE, PE AWOH

Metalworking machinery 

(31-333500) 

33391 31-333910 Pumps and 

compressors

AE AWOH Other general purpose 

machinery (31-333900)

33399 31-333990 All other general 

purpose machinery AE AWOH Other general purpose machinery (31-333900)

3341 31-334100 

Computer and 

peripheral 

equipment

AE AWOH, PE, 

PE AWH, PE 

AHE, PE AWOH

Computer and electronic 

products (31-334000) 

3342 31-334200 Communications 

equipment PE AWOH Computer and electronic products (31-334000)

33422 31-334220 

Broadcast and 

wireless 

communications 

equipment 

AE AWOH, PE, 

PE AWH, PE 

AHE, PE AWOH

Communications 

equipment (31-334200) 

for data types AE 

AWOH, PE, PE AWH, 

PE AHE; Computer and 

electronic products (31-

334000) for data type PE 

AWOH

3343 31-334300 Audio and video 

equipment

AE AWH, AE 

AHE, WE

Computer and electronic 

products (31-334000)

334513 31-334513 

Industrial process 

variable 

instruments

AE AWOH, PE, 

PE AWH, PE 

AHE, PE AWOH

Electronic instruments 

(31-334500) 

334515 31-334515 

Electricity and 

signal testing 

instruments

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Electronic instruments 

(31-334500) 

3346 31-334600 

Magnetic media 

manufacturing and 

reproduction

AE AWH, AE 

AHE, WE

Computer and electronic 

products (31-334000) 

336211 31-336211 Motor vehicle 

bodies

PE, PE AWH, PE 

AHE, PE AWOH

Motor vehicle bodies and 

trailers (31-336200)

33631 31-336310 

Motor vehicle 

gasoline engine and 

parts

AE AWOH Motor vehicle parts (31-

336300) 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 16 of 51

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NAICS 

Code 

CES 

Industry 

Code

CES Industry 

Title 

Discontinued 

From 

Publication

Next Highest 

Published Industry* 

33632 31-336320 Motor vehicle 

electric equipment

PE, PE AWH, PE 

AHE, PE AWOH

Motor vehicle parts (31-

336300)

3366 31-336600 Ship and boat 

building

AE AWH, AE 

AHE, AE AWOH

Transportation equipment 

(31-336000)

3365,9 31-336900 

Railroad rolling 

stock and other 

transportation 

equipment 

AE AWH, AE 

AHE, AE AWOH

Transportation equipment 

(31-336000) 

337121 31-337121 Upholstered 

household furniture PE AWOH

Other household and 

institutional furniture 

(31-337120)

337124,5,7 31-337127 

Miscellaneous 

household and 

institutional 

furniture

PE AWOH

Other household and 

institutional furniture 

(31-337120) 

3372 31-337200 Office furniture and 

fixtures

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH

Furniture and related 

products (31-337000) 

337215 31-337215 

Showcases, 

partitions, shelving, 

and lockers

PE AWOH Furniture and related 

products (31-337000) 

3379 31-337900 Other furniturerelated products

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH

Furniture and related 

products (31-337000) 

3112 32-311200 Grain and oilseed 

milling

PE, PE AWH, PE 

AHE, PE AWOH

Food manufacturing (32-

311000) 

311411 32-311411 Frozen fruits and 

vegetables

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Frozen food (32-311410) 

311412 32-311412 Frozen specialty 

food 

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Frozen food (32-311410) 

311611 32-311611 

Animal, except 

poultry, 

slaughtering

PE, PE AWH, PE 

AHE, PE AWOH

Animal slaughtering and 

processing (32-311600) 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

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NAICS 

Code 

CES 

Industry 

Code

CES Industry 

Title 

Discontinued 

From 

Publication

Next Highest 

Published Industry* 

311612,3 32-311613 

Meat processed 

from carcasses, and 

rendering and meat 

byproduct 

processing

PE, PE AWH, PE 

AHE, PE AWOH

Animal slaughtering and 

processing (32-311600) 

31181 32-311810 Bread and bakery 

products 

AE AWOH, PE, 

PE AWH, PE 

AHE, PE AWOH

Bakeries and tortilla 

manufacturing (32-

311800) 

311811 32-311811 Retail bakeries PE, PE AWH, PE 

AHE

Bakeries and tortilla 

manufacturing (32-

311800)

311812,3 32-311813 

Commercial 

bakeries and frozen 

cakes and other 

pastry products

PE, PE AWH, PE 

AHE

Bakeries and tortilla 

manufacturing (32-

311800) 

31182,3 32-311830 Cookies, crackers, 

pasta, and tortillas

AE AWOH, PE, 

PE AWH, PE 

AHE, PE AWOH

Bakeries and tortilla 

manufacturing (32-

311800) 

3119 32-311900 Other food 

products

PE, PE AWH, PE 

AHE, PE AWOH

Food manufacturing (32-

311000)

312 32-312000 Beverages and 

tobacco products 

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Miscellaneous 

nondurable goods 

manufacturing (32-

329000)

3131 32-313100 Fiber, yarn, and 

thread mills

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Textile mills (32-313000) 

3132 32-313200 Fabric mills PE, PE AWH, PE 

AHE, PE AWOH Textile mills (32-313000) 

31321 32-313210 Broadwoven fabric 

mills

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Fabric mills (32-313200) 

for data types AE AWH, 

AE AHE, WE; Textile 

mills (32-313000) for 

data types PE, PE AWH, 

PE AHE

3133 32-313300 Textile and fabric 

finishing mills

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Textile mills (32-313000) 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 18 of 51

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NAICS 

Code 

CES 

Industry 

Code

CES Industry 

Title 

Discontinued 

From 

Publication

Next Highest 

Published Industry* 

3141 32-314100 Textile furnishings 

mills PE AWOH Textile product mills (32-314000)

3149 32-314900 Other textile 

product mills PE AWOH Textile product mills (32-314000)

31491 32-314910 Textile bag and 

canvas mills

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Other textile product 

mills (32-314900) for 

data types AE AWH, AE 

AHE, AE AWOH, PE, 

PE AWH, PE AHE, WE; 

Textile product mills (32-

314000) for data type PE 

AWOH

31499 32-314990 All other textile 

product mills

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Other textile product 

mills (32-314900) for 

data types AE AWH, AE 

AHE, AE AWOH, PE, 

PE AWH, PE AHE, WE; 

Textile product mills (32-

314000) for data type PE 

AWOH

3152 32-315200 Cut and sew 

apparel AE AWOH Apparel (32-315000) 

3151,9 32-315900 All other apparel 

manufacturing AE AWOH Apparel (32-315000) 

323110 32-323110 Printing

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Printing and related 

support activities (32-

323000) 

323113 32-323113 Commercial screen 

printing 

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Printing and related 

support activities (32-

323000) 

323111,7 32-323117 

Commercial 

printing, except 

screen

AE AWH, AE 

AHE, AE AWOH,

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Printing and related 

support activities (32-

323000) 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 19 of 51

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NAICS 

Code 

CES 

Industry 

Code

CES Industry 

Title 

Discontinued 

From 

Publication

Next Highest 

Published Industry* 

32312 32-323120 Support activities 

for printing 

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Printing and related 

support activities (32-

323000) 

32411 32-324110 Petroleum 

refineries

AE AWH, AE 

AHE, AE AWOH

Petroleum and coal 

products (32-324000)

32412,9 32-324190 

Asphalt paving and 

roofing materials 

and other 

petroleum and coal 

products

AE AWH, AE 

AHE, AE AWOH

Petroleum and coal 

products (32-324000) 

325211 32-325211 Plastics material 

and resin

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Resin, rubber, and 

artificial fibers (32-

325200) 

3253 32-325300 Agricultural 

chemicals

AE AWH, AE 

AHE, AE AWOH, 

WE

Chemicals (32-325000) 

3255 32-325500 Paints, coatings, 

and adhesives 

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Chemicals (32-325000) 

326113 32-326113 

Nonpackaging 

plastics film and 

sheet

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Plastics packaging 

materials, film, and sheet 

(32-326110) 

32612 32-326120 

Plastics pipe, 

fittings, and profile 

shapes

PE, PE AWH, PE 

AHE, PE AWOH

Plastics products (32-

326100) 

32613,6 32-326160 

Plastics bottles and 

laminated plastics 

plate, sheet, and 

shapes

PE, PE AWH, PE 

AHE, PE AWOH

Plastics products (32-

326100) 

31212,3,4 32-329140 

Breweries, 

wineries, and 

distilleries

AE AWH, AE 

AHE, AE AWOH, 

PE, PE AWH, PE 

AHE, PE AWOH, 

WE

Miscellaneous 

nondurable goods 

manufacturing (32-

329000) 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

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NAICS 

Code 

CES 

Industry 

Code

CES Industry 

Title 

Discontinued 

From 

Publication

Next Highest 

Published Industry* 

316 32-329300 Leather and allied 

products 

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Miscellaneous 

nondurable goods 

manufacturing (32-

329000)

42385 41-423850 

Service 

establishment 

equipment

PE, PE AWH, PE 

AHE

Machinery and supplies 

(41-423800) 

42386 41-423860 

Other 

transportation 

goods

PE, PE AWH, PE 

AHE

Machinery and supplies 

(41-423800) 

42411,2 41-424120 

Printing and 

writing paper and 

office supplies 

PE, PE AWH, PE 

AHE

Paper and paper products 

(41-424100) 

42413 41-424130 Industrial paper PE, PE AWH, PE 

AHE

Paper and paper products 

(41-424100)

42451 41-424510 Grains and field 

beans

PE, PE AWH, PE 

AHE

Farm product raw 

materials (41-424500)

44121 42-441210 Recreational 

vehicle dealers

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Other motor vehicle 

dealers (42-441200) 

44122 42-441220 

Motorcycle, boat, 

and other vehicle 

dealers

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Other motor vehicle 

dealers (42-441200) 

44421 42-444210 Outdoor power 

equipment stores 

PE, PE AWH, PE 

AHE

Lawn and garden 

equipment and supplies 

stores (42-444200) 

44422 42-444220 

Nursery, garden, 

and farm supply 

stores

PE, PE AWH, PE 

AHE

Lawn and garden 

equipment and supplies 

stores (42-444200)

45431 42-454310 Fuel dealers PE, PE AWH, PE 

AHE

Direct selling 

establishments (42-

454300)

45439 42-454390 Other direct selling 

establishments

PE, PE AWH, PE 

AHE

Direct selling 

establishments (42-

454300)

483 43-483000 Water 

transportation 

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE

Transportation and 

warehousing (43-000000) 

487 43-487000 

Scenic and 

sightseeing 

transportation 

AE AWH, AE 

AHE

Transportation and 

warehousing (43-000000) 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 21 of 51

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NAICS 

Code 

CES 

Industry 

Code

CES Industry 

Title 

Discontinued 

From 

Publication

Next Highest 

Published Industry* 

48841 43-488410 Motor vehicle 

towing 

PE, PE AWH, PE 

AHE

Support activities for 

road transportation (43-

488400) 

49312 43-493120 

Refrigerated 

warehousing and 

storage

PE, PE AWH, PE 

AHE

Warehousing and storage 

(43-493000) 

49313,9 43-493190 

Miscellaneous 

warehousing and 

storage

PE, PE AWH, PE 

AHE

Warehousing and storage 

(43-493000) 

51113 50-511130 Book publishers PE, PE AWH, PE 

AHE

Newspaper, book, and 

directory publishers (50-

511100)

52231 55-522310 

Mortgage and 

nonmortgage loan 

brokers

PE, PE AWH, PE 

AHE

Activities related to 

credit intermediation (55-

522300)

52239 55-522390 

Other credit 

intermediation 

activities

PE, PE AWH, PE 

AHE

Activities related to 

credit intermediation (55-

522300) 

524113 55-524113 Direct life 

insurance carriers

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Direct life and health 

insurance carriers (55-

524110) 

524114 55-524114 

Direct health and 

medical insurance 

carriers

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Direct life and health 

insurance carriers (55-

524110) 

524126 55-524126 Direct property and 

casualty insurers

PE, PE AWH, PE 

AHE

Direct insurers, except 

life and health (55-

524120) 

524127,8 55-524128 

Direct title 

insurance and other 

direct insurance 

carriers

PE, PE AWH, PE 

AHE

Direct insurers, except 

life and health (55-

524120) 

524291 55-524291 Claims adjusting PE, PE AWH, PE 

AHE

Other insurance-related 

activities (55-524290)

524298 55-524298 All other insurancerelated activities

PE, PE AWH, PE 

AHE

Other insurance-related 

activities (55-524290)

53113 55-531130 

Miniwarehouse and 

self-storage unit 

operators

PE, PE AWH, PE 

AHE

Lessors of real estate (55-

531100) 

53119 55-531190 Lessors of other 

real estate property

PE, PE AWH, PE 

AHE

Lessors of real estate (55-

531100)
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 22 of 51

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NAICS 

Code 

CES 

Industry 

Code

CES Industry 

Title 

Discontinued 

From 

Publication

Next Highest 

Published Industry* 

53132 55-531320 Offices of real 

estate appraisers

PE, PE AWH, PE 

AHE

Activities related to real 

estate (55-531300)

53139 55-531390 Other activities 

related to real estate

PE, PE AWH, PE 

AHE

Activities related to real 

estate (55-531300)

5321 55-532100 

Automotive 

equipment rental 

and leasing

PE, PE AWH, PE 

AHE

Rental and leasing 

services (55-532000) 

5322 55-532200 Consumer goods 

rental

PE, PE AWH, PE 

AHE

Rental and leasing 

services (55-532000)

53223 55-532230 Video tape and disc 

rental

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Consumer goods rental 

(55-532200) for data 

types AE AWH, AE 

AHE, WE; Rental and 

leasing services (55-

532000) for data types 

PE, PE AWH, PE AHE

53221,2,9 55-532290 

Miscellaneous 

consumer goods 

rental

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Consumer goods rental 

(55-532200) for data 

types AE AWH, AE 

AHE, WE; Rental and 

leasing services (55-

532000) for data types 

PE, PE AWH, PE AHE

541213 60-541213 Tax preparation 

services

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Accounting and 

bookkeeping services 

(60-541200) 

541219 60-541219 Other accounting 

services

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Accounting and 

bookkeeping services 

(60-541200) 

541612 60-541612 Human resource 

consulting services 

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Management consulting 

services (60-541610) 

541618 60-541618 Other management 

consulting services 

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Management consulting 

services (60-541610) 

54162 60-541620 Environmental 

consulting services 

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Management and 

technical consulting 

services (60-541600) 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 23 of 51

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NAICS 

Code 

CES 

Industry 

Code

CES Industry 

Title 

Discontinued 

From 

Publication

Next Highest 

Published Industry* 

54169 60-541690 Other technical 

consulting services 

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Management and 

technical consulting 

services (60-541600) 

56291 60-562910 Remediation 

services

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Remediation and other 

waste services (60-

562900) 

56292,9 60-562990 

Materials recovery 

facilities and other 

waste management 

services

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

Remediation and other 

waste services (60-

562900) 

6222 65-622200 

Psychiatric and 

substance abuse 

hospitals

PE, PE AWH, PE 

AHE Hospitals (65-622000) 

6223 65-622300 Other hospitals PE, PE AWH, PE 

AHE Hospitals (65-622000) 

62421 65-624210 Community food 

services

PE, PE AWH, PE 

AHE

Emergency and other 

relief services (65-

624200)

62422,3 65-624230 

Community 

housing, 

emergency, and 

relief services

PE, PE AWH, PE 

AHE

Emergency and other 

relief services (65-

624200) 

721211 70-721211 RV parks and 

campgrounds 

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

RV parks and 

recreational camps (70-

721200) 

721214 70-721214 Recreational and 

vacation camps

AE AWH, AE 

AHE, PE, PE 

AWH, PE AHE, 

WE

RV parks and 

recreational camps (70-

721200) 

812111,2 80-812112 Barber shops and 

beauty salons

PE, PE AWH, PE 

AHE

Hair, nail, and skin care 

services (80-812110)

812113 80-812113 Nail salons PE, PE AWH, PE 

AHE

Hair, nail, and skin care 

services (80-812110)

81221 80-812210 Funeral homes and 

funeral services

PE, PE AWH, PE 

AHE

Death care services (80-

812200) 

81222 80-812220 Cemeteries and 

crematories

PE, PE AWH, PE 

AHE

Death care services (80-

812200)

*Unless otherwise noted in the Next Highest Published Industry column, the industry listed is the next highest 

published industry for all data types discontinued from publication. 

To Table of Figures
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 24 of 51

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Exhibit 6. Collapsed Non-AE series

NAICS 

Code 

CES 

Industry 

Code

CES Industry Title Collapsed into CES 

Industry

Data 

Types 

Collapsed

3366* 90-913366 Federal ship building 

and repairing

Collapsed into Other Federal 

government (90-919999)

WE

*Contains only federally-owned portion of NAICS code.

Exhibit 7. New Non-AE series

NAICS 

Code 

CES 

Industry 

Code

CES Industry Title Data Types Published 

312,6 32-329000 Miscellaneous nondurable 

goods manufacturing

AE AWH, AE AHE, AE AWOH, PE, 

PE AWH, PE AHE, PE AWOH, WE

To Table of Figures

Reconstructed data

In order to provide a continuous and comparable employment time series, CES decided to 

reconstruct the history for one CES series, 55-524126 Direct property and casualty insurers, 

impacted by the changes to noncovered employment incorporated with the 2011 benchmark (see 

www.bls.gov/ces/cesbmart11.pdf). CES determined that the history of this series did not capture 

a significant amount of noncovered employment and instead showed a level shift in the series

from April 2010 to March 2011, where the noncovered employment, calculated from County 

Business Patterns (CBP) data, was first included. CES uses CBP data to calculate the majority 

of noncovered employment. The CBP – which draws from Social Security filings and other 

records which do include those employees not covered by UI tax laws – is lagged in its 

publication by approximately two years (e.g. in 2012 the 2010 CBP data was published). For 

more information about calculating noncovered employment, see 

www.bls.gov/ces/cestn.htm#NCE. 

CBP data was used to reconstruct AE data for CES series 55-524126 back to 1991 in order to 

incorporate the noncovered employment in the history. From the reconstructed AE data, the 

remaining published data types were produced using the previously published sample ratios. 

This reconstruction also resulted in revisions back to 1991 for the associated aggregate series, 

including but not limited to Total nonfarm, in the associated data types.

Seasonally adjusted data publication change 

CES began publishing more seasonally adjusted data with the release of January 2013 estimates 

on February 1, 2013. These data were previously available only by request, but are now 

available on the public website at www.bls.gov/ces/data.htm. This change in publication status 

does not impact the seasonally adjusted series published for a given month with the first 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 25 of 51

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preliminary release of CES data2. The newly published seasonally adjusted series will be 

released with the second preliminary estimates for a given month. Approximately 770 more 

seasonally adjusted AE series and approximately 4,060 more seasonally adjusted non-AE and 

derivative series will be published3. 

Seasonally adjusted data for detail series corresponding to CES series 31-336000 Transportation 

equipment have been updated to reflect strike data from 1998 and were revised back to 1990. 

These detail series had previously been available upon request, but not published. Seasonally 

adjusted data for CES series 31-336000 Transportation equipment has also been revised back to 

1990. All associated aggregate series, including but not limited to Total nonfarm, and associated 

data types have also been revised.

Specification files and related information necessary for duplicating the seasonal adjustment 

process has been updated and, for these newly published series, added to the existing 

documentation available at www.bls.gov/web/empsit/cesseasadj.htm. 

Data clarification

CES currently publishes data for both AE and PE aggregate weekly hours, aggregate weekly 

payrolls, and in manufacturing industries, aggregate weekly overtime hours. These data are 

produced using two separate sets of sample data. Data are used in the calculation for the AE

aggregate hours and earnings series if the establishment has reported both hours and payroll 

information for all employees for the given month. Data are used in the calculation for the PE

aggregate hours and earnings series if the establishment has reported both hours and payroll 

information for production and nonsupervisory employees for the given month. Since not all 

establishments report hours and payroll data for both all employees and production and 

nonsupervisory employees, the data used in the two calculations can vary. 

Given that the aggregate hours and earnings series may be calculated from two separate sets of 

sample data, it is possible for the aggregate hours and earnings series for production and 

nonsupervisory employees to be greater than that of all employees even though by definition this 

is impossible. The possibility arises because each of the samples is subject to its own 

nonsampling error. When this occurs, CES does not cap the production and nonsupervisory 

employees aggregate hours and earnings data to fit the definitional restriction to be less than the 

all employees aggregate data because each of the estimates separately is supported by their 

respective samples. 

CES will be conducting research to examine potential solutions to this issue.

 

2 Publication status for first preliminary seasonally adjusted series may also be impacted by the CES series changes 

noted in Exhibit 1 through Exhibit 7 above.

3 Counts of additional series are approximate due to how some of the CES industry code changes, noted in Exhibit 1, 

impact the additional seasonally adjusted published series.
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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 UI 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 ensures 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 0.3 percent (in 

absolute terms), with an absolute range of 0.1 percent to 0.7 percent. 

Benchmark revision effects for other data types

The routine benchmarking process results in revisions to the series for production and 

nonsupervisory employees and women employees. There are no benchmark employment levels 

for these series; they are revised by preserving ratios of employment for the particular data type 

to all employee 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, average hourly earnings, and in 

manufacturing industries, average weekly overtime hours are not benchmarked; they are 

estimated solely from reports supplied by survey respondents at the basic estimating cell level.

The aggregate industry levels of the hours and earnings series are derived as a weighted average. 

The all employee employment estimates or the production and nonsupervisory employee 

employment estimates for the basic cells are used as weights for their respective hours and 

earnings estimates for broader industry groupings. Adjustments of the all employee estimates to 

new benchmarks may alter the weights used for both AE and PE hours and earnings, which, in 

turn, may change the estimates for both AE and PE hours and earnings at higher levels of 

aggregation. 
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Generally, new employment benchmarks have little effect on hours and earnings estimates for 

major industry groupings. To influence the hours and earnings estimates of a broader industry 

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 

broader group. Table 5 and Table 6 provide information on the levels of specific hours and 

earnings series resulting from the March 2012 benchmark. At the Total private level, there was 

no change in average weekly hours estimates for both AE and PE from the previously published 

level. Total private average hourly earnings increased by 1 cent for AE and 2 cents for PE from 

the previously published level. 
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Table 5. Effect of March 2012 benchmark revisions to AE AWH and AE AHE estimates, selected industries(1)

CES 

Industry 

Code 

CES Industry Title 

Average Weekly Hours Average Hourly Earnings

As Previously 

Published

As 

Revised Difference As Previously Published

As 

Revised Difference 

05-000000 Total private 34.3 34.3 0.0 $23.41 $23.42 $0.01 

06-000000 Goods-producing 40.0 40.0 .0 24.69 24.67 -.02

08-000000 Private serviceproviding

33.1 33.1 .0 23.11 23.13 .02

10-000000 Mining and logging 43.5 43.5 .0 29.06 28.98 -.08

20-000000 Construction 38.1 38.2 .1 25.72 25.72 .00

30-000000 Manufacturing 40.6 40.6 .0 23.94 23.91 -.03

31-000000 Durable goods 41.0 41.0 .0 25.32 25.28 -.04

31-321000 Wood products 39.6 39.5 -.1 17.33 17.34 .01

31-327000 Nonmetallic mineral 

products

41.0 41.0 .0 20.92 20.92 .00

31-331000 Primary metals 43.7 43.7 .0 23.46 23.37 -.09

31-332000 Fabricated metal 

products

40.9 40.9 .0 21.29 21.28 -.01

31-333000 Machinery 41.6 41.6 .0 25.45 25.47 .02

31-334000 Computer and electronic 

products

39.7 39.7 .0 33.52 33.52 .00

31-335000 Electrical equipment and 

appliances

40.8 40.8 .0 23.68 23.68 .00

31-336000 Transportation 

equipment

42.9 42.9 .0 28.82 28.73 -.09

31-336001 Motor vehicles and parts 42.9 42.9 .0 23.94 23.81 -.13

31-337000 Furniture and related 

products

39.5 39.5 .0 18.67 18.67 .00

31-339000 Miscellaneous durable 

goods manufacturing

38.3 38.3 .0 23.58 23.56 -.02
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

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CES 

Industry 

Code

CES Industry Title 

Average Weekly Hours Average Hourly Earnings

As Previously 

Published

As 

Revised Difference As Previously Published

As 

Revised Difference 

32-000000 Nondurable goods 39.9 39.9 .0 21.56 21.54 -.02

32-311000 Food manufacturing 39.2 39.3 .1 17.88 17.89 .01

32-313000 Textile mills 40.5 40.5 .0 17.22 17.22 .00

32-314000 Textile product mills 39.1 39.1 .0 16.22 16.24 .02

32-315000 Apparel 37.1 37.1 .0 17.71 17.73 .02

32-322000 Paper and paper 

products

41.4 41.5 .1 23.97 24.02 .05

32-323000 Printing and related 

support activities

37.2 37.2 .0 21.41 21.41 .00

32-324000 Petroleum and coal 

products

45.1 45.1 .0 34.44 34.58 .14

32-325000 Chemicals 41.8 41.8 .0 27.76 27.76 .00

32-326000 Plastics and rubber 

products

40.8 40.8 .0 20.05 20.05 .00

32-329000 Miscellaneous 

nondurable goods 

manufacturing

36.0 36.0 .0 22.12 22.12 .00

40-000000 Trade, transportation, 

and utilities

34.4 34.4 .0 20.28 20.29 .01

41-420000 Wholesale trade 38.4 38.4 .0 26.48 26.50 .02

42-000000 Retail trade 31.5 31.5 .0 16.11 16.11 .00

43-000000 Transportation and 

warehousing

37.9 38.0 .1 21.92 21.95 .03

44-220000 Utilities 41.1 41.1 .0 33.80 33.81 .01

50-000000 Information 36.3 36.3 .0 31.59 31.61 .02

55-000000 Financial activities 37.0 37.0 .0 28.78 28.84 .06

60-000000 Professional and 

business services

35.6 35.6 .0 28.03 28.03 .00
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CES 

Industry 

Code

CES Industry Title 

Average Weekly Hours Average Hourly Earnings

As Previously 

Published

As 

Revised Difference As Previously Published

As 

Revised Difference 

65-000000 Education and health 

services

32.7 32.7 .0 24.13 24.16 .03

70-000000 Leisure and hospitality 26.0 26.0 .0 13.39 13.40 .01

80-000000 Other services 31.4 31.5 .1 20.67 20.82 .15

(1)Formerly Table 4a. 

To Table of Figures

Table 6. Effect of March 2012 benchmark revisions to PE AWH and PE AHE estimates, selected industries(1)

CES 

Industry 

Code 

CES Industry Title 

Average Weekly Hours Average Hourly Earnings

As Previously 

Published

As 

Revised Difference As Previously Published

As 

Revised Difference 

05-000000 Total private 33.5 33.5 0.0 $19.67 $19.69 $0.02 

06-000000 Goods-producing 40.9 40.9 .0 20.80 20.81 .01

08-000000 Private serviceproviding

32.3 32.3 .0 19.44 19.45 .01

10-000000 Mining and logging 46.7 46.8 .1 26.05 26.02 -.03

20-000000 Construction 38.8 38.8 .0 23.82 23.82 .00

30-000000 Manufacturing 41.5 41.5 .0 19.04 19.02 -.02

31-000000 Durable goods 42.0 42.0 .0 20.14 20.12 -.02

31-321000 Wood products 40.6 40.6 .0 14.82 14.82 .00

31-327000 Nonmetallic mineral 

products

41.5 41.5 .0 17.89 17.88 -.01

31-331000 Primary metals 44.2 44.1 -.1 20.12 20.06 -.06

31-332000 Fabricated metal 

products

42.2 42.2 .0 18.17 18.17 .00

31-333000 Machinery 43.2 43.2 .0 19.95 19.96 .01

31-334000 Computer and electronic 

products

40.4 40.4 .0 23.40 23.40 .00
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CES 

Industry 

Code

CES Industry Title 

Average Weekly Hours Average Hourly Earnings

As Previously 

Published

As 

Revised Difference As Previously Published

As 

Revised Difference 

31-335000 Electrical equipment and 

appliances

41.4 41.4 .0 17.94 17.94 .00

31-336000 Transportation 

equipment

43.6 43.6 .0 24.83 24.77 -.06

31-336001 Motor vehicles and parts 44.0 44.0 .0 21.49 21.39 -.10

31-337000 Furniture and related 

products

40.2 40.2 .0 15.32 15.32 .00

31-339000 Miscellaneous durable 

goods manufacturing

38.8 38.8 .0 16.98 16.97 -.01

32-000000 Nondurable goods 40.7 40.7 .0 17.24 17.22 -.02

32-311000 Food manufacturing 40.0 40.0 .0 14.87 14.87 .00

32-313000 Textile mills 43.2 43.2 .0 13.43 13.43 .00

32-314000 Textile product mills 40.4 40.3 -.1 12.50 12.51 .01

32-315000 Apparel 37.2 37.2 .0 12.67 12.66 -.01

32-322000 Paper and paper 

products

42.5 42.5 .0 20.30 20.37 .07

32-323000 Printing and related 

support activities

38.1 38.1 .0 17.28 17.28 .00

32-324000 Petroleum and coal 

products

46.6 46.6 .0 31.30 31.44 .14

32-325000 Chemicals 42.1 42.1 .0 21.55 21.55 .00

32-326000 Plastics and rubber 

products

41.7 41.7 .0 16.02 16.03 .01

32-329000 Miscellaneous 

nondurable goods 

manufacturing

38.4 38.4 .0 18.27 18.27 .00

40-000000 Trade, transportation, 

and utilities

33.5 33.5 .0 17.34 17.35 .01

41-420000 Wholesale trade 38.3 38.3 .0 21.98 21.99 .01

42-000000 Retail trade 30.4 30.4 .0 13.80 13.80 .00
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CES 

Industry 

Code

CES Industry Title 

Average Weekly Hours Average Hourly Earnings

As Previously 

Published

As 

Revised Difference As Previously Published

As 

Revised Difference 

43-000000 Transportation and 

warehousing

37.2 37.3 .1 19.54 19.56 .02

44-220000 Utilities 40.2 40.2 .0 31.16 31.17 .01

50-000000 Information 35.7 35.7 .0 26.72 26.74 .02

55-000000 Financial activities 36.3 36.3 .0 22.48 22.53 .05

60-000000 Professional and 

business services

34.9 34.9 .0 23.26 23.25 -.01

65-000000 Education and health 

services

32.2 32.2 .0 20.98 21.01 .03

70-000000 Leisure and hospitality 24.9 24.9 .0 11.62 11.63 .01

80-000000 Other services 30.5 30.6 .1 17.45 17.60 .15

(1)Formerly Table 4b. 

To Table of Figures
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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 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 ten 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 nine months 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 nine months following the March benchmark (also referred 

to as the post-benchmark period, see Revisions in the post-benchmark period). New net 

birth/death model estimates also are calculated and applied during post-benchmark estimation. 

The annual sample update is introduced in the November final sample-based estimates, which 

are released along with the January first preliminary sample-based estimates that coincide with 

the Benchmark release. The new sample is used for all subsequent estimates. 

Benchmark source material

The principal source of benchmark data for private industries is the Quarterly Census of 

Employment and Wages (QCEW). Noncovered employment results from a difference in scope 

between the CES program and the QCEW program. The QCEW only includes employment data 

provided to State Employment Security Agencies by employers covered by State UI laws. BLS 

uses several other sources to establish benchmarks for the 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 Non-office insurance sales workers, child daycare workers, Religious 

organizations, and Private schools and hospitals. Noncovered employment for State and Local 

government hospitals and Educational institutions is based on the Annual Survey of Public 

Employment and Payroll (ASPEP) conducted by the Census Bureau. Noncovered employment 
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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. More information on calculating noncovered employment in the 

CES program is available in the CES Technical Notes at www.bls.gov/ces/cestn.htm#NCE. 

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 nine 

months out of date. The CES survey thus cannot 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 excludes employment losses from 

business deaths from sample-based estimation in order to offset the missing employment gains 

from 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 Autoregressive Integrated Moving 

Average (ARIMA) time series model designed to estimate the 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 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 

exhibit a seasonal pattern similar to the seasonal patterns of the continuing businesses. 

Only error from the second component is directly measurable. Error from this component is 

measured by comparing the actual net of births and deaths from March 2011-12 — once it 

becomes available — with the model-based estimate. As Table 7 shows, the actual net 

birth/death for April 2011 to March 2012 was approximately 426,000 above the forecasted 

amount used in the CES monthly estimates for the time period. 
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Table 7. Differences between forecasted and actual net birth/death, Total private employment, April 2011 – 

March 2012 (in thousands)(1)

Benchmark 2012 2011 2012 Total Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar

Actual Net Birth/Death 272 204 116 157 93 27 122 -23 3 -284 115 115 917

Forecast Net Birth/Death 172 211 141 5 89 -26 116 -30 -1 -367 91 90 491

Difference 100 -7 -25 152 4 53 6 7 4 83 24 25 426

Cumulative Difference 100 93 68 220 224 277 283 290 294 377 401 426

(1)Formerly Exhibit 6.

To Table of Figures

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 not seasonally adjusted and seasonally adjusted data. The data can be accessed at www.bls.gov/ces/, 

the CES homepage. 

Small domain model

The CES Small Domain Model (SDM) is used for industries where the sample alone is insufficient for reliable estimates. The CES 

SDM is a Weighted Least Squares model with two employment inputs: (1) an estimate based on available CES sample for that series, 

and (2) an ARIMA projection based on 10 years of historical QCEW data. Further background on the SDM is provided in the CES 

technical notes at www.bls.gov/ces/cestn.htm#section5b. 

There are six industries estimated using the SDM. These industries are Lessors of nonfinancial intangible assets, Direct health and 

medical insurance carriers, Tax preparation services, Other technical consulting services, Remediation services, and Recreational and 

vacation camps. 
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Estimates for all other data types for these six series previously used the standard weighted linkand-taper methodology, which does not account for insufficient sample. Since item response 

rates tend to be lower for data types other than AE, BLS discontinued production of all non-AE 

series where the SDM was used for AE with the 2012 benchmark release in February 2013. 

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 (Table 8 through 

Table 16). 

For published AE series, the CES program seasonally adjusts many series at the 3-, 4-, 5-, and 6-

digit NAICS level. However, only the seasonally adjusted 3-digit NAICS level estimates are 

used to aggregate to the higher levels. The seasonally adjusted series that are published at more 

detailed levels than the 3-digit NAICS are considered to be independent series and are not 

included in aggregation of seasonally adjusted series4 with the exception of the component series 

used in indirect seasonal adjustment5. 

 

For published AE AWH, AE AHE, PE, PE AWH, and PE AHE series, the CES program 

seasonally adjusts at the 2 digit NAICS level, or the major industry sector level for all industries 

except Manufacturing which is seasonally adjusted at the 3-digit NAICS level. These seasonally 

adjusted series are aggregated from the 3-digit NAICS level in Manufacturing industries and 

from the major industry sector level for all other industries to get higher level seasonally adjusted 

series. 

For published PE and AE overtime series, the CES program seasonally adjusts major industry 

sectors Durable goods and Nondurable goods. These two seasonally adjusted overtime series are 

aggregated to the Manufacturing level.

For published WE series, the CES program seasonally adjusts at the major industry sector level 

for all industries. The seasonally adjusted WE are aggregated from the major industry sector 

level for all industries to the higher level seasonally adjusted 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 

 

4 For example, seasonally adjusted data at the 5-digit NAICS are not aggregated to form seasonally adjusted 4-digit 

NAICS series. Instead the 4-digit NAICS and the 5-digit NAICS level series are independently seasonally adjusted. 5 Most series are seasonally adjusted by directly applying the seasonal adjustment factors to the series. In some 

cases, 3-digit NAICS series are indirectly seasonally adjusted by aggregating the seasonally adjusted employment 

level of their component series. For indirectly seasonally adjusted 3-digit NAICS series, the seasonal adjustment 

factors are applied to the component series rather than to the 3-digit NAICS series. Indirectly seasonally adjusted 

series are noted in Table 8.
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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 four and sometimes five 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 

three 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 three years. All else the same, the greatest potential for distortion occurred when the 

current month being estimated had a 5-week interval but the three years preceding it were all 4-

week intervals, or conversely when the current month had a 4-week interval but the three 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 eleven separate survey 

interval variables, one specified for each month, except March. March is excluded because there 

are almost always four weeks between the February and March surveys. Models for individual 

basic series are fit with the most recent ten years of data available, the standard time span used 

for CES seasonal adjustment. 

The REGARIMA procedure yields regression coefficients for each of the eleven 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 eleven 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. 
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Because the eleven 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 Local 

government, excluding educational services. 

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-themonth changes in both the average weekly hours (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 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 39 of 51

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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-ofpay-period variable proves significant for explaining AWH movements in all the serviceproviding industries except Utilities. For AHE, the length-of-pay-period variable is significant 

for Wholesale trade, Retail trade, Information, Financial activities, Professional and business 

services, and Other services. All AWH series in the service-providing industries except Utilities 

have been adjusted from January 1990 forward. The AHE series for Wholesale trade, Retail 

trade, Information, Financial activities, Professional and business services, and Other services 

have been adjusted from January 1990 forward as well. For this reason, calculations of over-theyear 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. 

Special notice regarding seasonal adjustment for AE hours and earnings 

Concurrent with the release of January 2010 data, the CES program began publishing AE hours 

and earnings as official BLS series. The AE hours and earnings series are published at the same 

level of industry detail as PE hours and earnings series and are published on both a not 

seasonally adjusted and a seasonally adjusted basis. 

CES has at least five full years of history for the AE hours and earnings series, which allows for 

incorporating the special model adjustments for variation due to the calendar effects (4- vs. 5-

week and10- vs. 11-day). Also, generally CES uses 10 years of not seasonally adjusted data as an 

input to seasonal adjustment. This year, CES will replace the entire 82 months of seasonally 

adjusted AE hours and earnings data, ensuring all data is adjusted using the same methodology. 

Seasonal adjustment model specifications

Table 8. Model specifications for seasonal adjustment of AE series(1)

CES Industry 

Code CES Industry Title Mode 4/5 Week Adj Other Adj(2)

10-113300 Logging MULT X

10-211000 Oil and gas extraction MULT X

10-212000 Mining, except oil and gas - X Indirect

10-212100 Coal mining MULT X
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 40 of 51

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CES Industry 

Code CES Industry Title Mode 4/5 Week Adj Other Adj(2)

10-213000 Support activities for mining MULT X

20-236100 Residential building - X Indirect

20-236200 Nonresidential building - X Indirect

20-237000 Heavy and civil engineering 

construction ADD X 

20-238000 Specialty trade contractors - X Indirect

20-238001 Residential specialty trade 

contractors MULT X Raked

20-238002 Nonresidential specialty 

trade contractors ADD X Raked

31-321000 Wood products ADD X

31-327000 Nonmetallic mineral 

products MULT X 

31-331000 Primary metals ADD X

31-332000 Fabricated metal products ADD X

31-333000 Machinery MULT X

31-334000 Computer and electronic 

products - X Indirect

31-334100 Computer and peripheral 

equipment MULT X 

31-334200 Communications equipment MULT X

31-334400 Semiconductors and 

electronic components MULT X 

31-334500 Electronic instruments MULT X

31-335000 Electrical equipment and 

appliances MULT X 

31-336000 Transportation equipment ADD

31-336001 Motor vehicles and parts ADD

31-337000 Furniture and related 

products MULT X 

31-339000 Miscellaneous durable goods 

manufacturing MULT X 

32-311000 Food manufacturing MULT X

32-313000 Textile mills MULT X

32-314000 Textile product mills MULT X

32-315000 Apparel MULT X

32-322000 Paper and paper products MULT X

32-323000 Printing and related support 

activities MULT X 

32-324000 Petroleum and coal products ADD X

32-325000 Chemicals MULT X

32-326000 Plastics and rubber products ADD X

32-329000 Miscellaneous nondurable 

goods manufacturing ADD X 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 41 of 51

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CES Industry 

Code CES Industry Title Mode 4/5 Week Adj Other Adj(2)

41-423000 Durable goods MULT X

41-424000 Nondurable goods MULT X

41-425000 Electronic markets and 

agents and brokers ADD X 

42-441000 Motor vehicle and parts 

dealers - X Indirect

42-441100 Automobile dealers ADD X

42-442000 Furniture and home 

furnishings stores MULT X 

42-443000 Electronics and appliance 

stores MULT X 

42-444000 Building material and 

garden supply stores MULT X 

42-445000 Food and beverage stores MULT X

42-446000 Health and personal care 

stores MULT X 

42-447000 Gasoline stations MULT X

42-448000 Clothing and clothing 

accessories stores MULT X 

42-451000 Sporting goods, hobby, 

book, and music stores MULT X 

42-452000 General merchandise stores - X Indirect

42-452100 Department stores MULT X

42-453000 Miscellaneous store retailers MULT X

42-454000 Nonstore retailers MULT X

43-481000 Air transportation MULT X

43-482000 Rail transportation MULT X

43-483000 Water transportation ADD X

43-484000 Truck transportation ADD X

43-485000 Transit and ground 

passenger transportation ADD

43-486000 Pipeline transportation MULT X

43-487000 Scenic and sightseeing 

transportation ADD X 

43-488000 Support activities for 

transportation MULT X 

43-492000 Couriers and messengers MULT X

43-493000 Warehousing and storage ADD X

44-220000 Utilities MULT X

50-511000 Publishing industries, except 

Internet MULT X 

50-512000 Motion picture and sound 

recording industries MULT X 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 42 of 51

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CES Industry 

Code CES Industry Title Mode 4/5 Week Adj Other Adj(2)

50-515000 Broadcasting, except 

Internet MULT X 

50-517000 Telecommunications MULT X

50-518000 Data processing, hosting and 

related services MULT X 

50-519000 Other information services MULT X

55-521000 Monetary authorities -

central bank MULT X 

55-522000 Credit intermediation and 

related activities - X Indirect

55-522100 Depository credit 

intermediation MULT X 

55-522110 Commercial banking MULT X

55-523000 Securities, commodity 

contracts, investments MULT X 

55-524000 Insurance carriers and 

related activities MULT X 

55-525000 Funds, trusts, and other 

financial vehicles ADD X 

55-531000 Real estate MULT X

55-532000 Rental and leasing services MULT X

55-533000 Lessors of nonfinancial 

intangible assets MULT X 

60-540000 Professional and technical 

services - X Indirect

60-541100 Legal services MULT X

60-541200 Accounting and 

bookkeeping services ADD X 

60-541300 Architectural and 

engineering services MULT X 

60-541500 Computer systems design 

and related services ADD X 

60-541600 Management and technical 

consulting services MULT X 

60-550000 Management of companies 

and enterprises MULT X 

60-561000 Administrative and support 

services - X Indirect

60-561300 Employment services ADD X

60-561320 Temporary help services ADD X

60-561400 Business support services ADD X

60-561700 Services to buildings and 

dwellings ADD X 
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 43 of 51

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CES Industry 

Code CES Industry Title Mode 4/5 Week Adj Other Adj(2)

60-562000 Waste management and 

remediation services ADD X 

65-610000 Educational services ADD X

65-621000 Ambulatory health care 

services - X Indirect

65-621100 Offices of physicians MULT X

65-621400 Outpatient care centers MULT X

65-621600 Home health care services ADD X

65-622000 Hospitals ADD X

65-623000 Nursing and residential care 

facilities - X Indirect

65-623100 Nursing care facilities MULT X

65-624000 Social assistance - X Indirect

65-624400 Child day care services MULT X

70-711000 Performing arts and 

spectator sports MULT X 

70-712000 Museums, historical sites, 

and similar institutions MULT X 

70-713000 Amusements, gambling, and 

recreation ADD X 

70-721000 Accommodation ADD X

70-722000 Food services and drinking 

places ADD X 

80-811000 Repair and maintenance MULT X

80-812000 Personal and laundry 

services MULT X 

80-813000 Membership associations 

and organizations MULT

90-911000 Federal, except U.S. Postal 

Service ADD X 

90-919120 U.S. Postal Service MULT X

90-921611 State government education ADD X

90-922000 State government, excluding 

education MULT X 

90-931611 Local government education ADD X

90-932000 Local government, excluding 

education MULT X Election 

adjustment

(1)Formerly part of Exhibit 14.

(2)Indirect indicates seasonal adjustment occurs at the lowest available industry level. Raked indicates residential and 

nonresidential specialty trade estimates are raked to the specialty trade estimates to ensure consistency. Election 

adjustment indicates a special adjustment for the presence/absence of poll workers in local government.

To Table of Figures
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 44 of 51

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Table 9. Model specifications for seasonal adjustment of AE AWH series(1)

CES Industry 

Code CES Industry Title Mode 4/5 Week Adj

10/11 

Day Adj

Easter/Labor 

Day Adj

10-000000 Mining and logging MULT X X

20-000000 Construction ADD X X

31-321000 Wood products MULT X X

31-327000 Nonmetallic mineral 

products ADD X X 

31-331000 Primary metals MULT X X

31-332000 Fabricated metal 

products MULT X X 

31-333000 Machinery MULT X X

31-334000 Computer and 

electronic products MULT X X 

31-335000 Electrical equipment 

and appliances MULT X X 

31-336000 Transportation 

equipment MULT X X 

31-336001 Motor vehicles and 

parts ADD X X 

31-337000 Furniture and related 

products MULT X X 

31-339000 Miscellaneous durable 

goods manufacturing MULT X X 

32-311000 Food manufacturing MULT X X

32-313000 Textile mills MULT X X

32-314000 Textile product mills MULT X X

32-315000 Apparel MULT X X

32-322000 Paper and paper 

products MULT X X 

32-323000 Printing and related 

support activities MULT X X 

32-324000 Petroleum and coal 

products ADD X X 

32-325000 Chemicals MULT X

32-326000 Plastics and rubber 

products MULT X X 

32-329000 

Miscellaneous 

nondurable goods 

manufacturing 

MULT X X 

41-420000 Wholesale trade MULT X X

42-000000 Retail trade MULT X

43-000000 Transportation and 

warehousing MULT X X 

44-220000 Utilities MULT X

50-000000 Information MULT X
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 45 of 51

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CES Industry 

Code CES Industry Title Mode 4/5 Week Adj

10/11 

Day Adj

Easter/Labor 

Day Adj

55-000000 Financial activities MULT X

60-000000 Professional and 

business services MULT X X 

65-000000 Education and health 

services MULT X 

70-000000 Leisure and hospitality MULT X

80-000000 Other services MULT X X

(1)Formerly part of Exhibit 14.

To Table of Figures

Table 10. Model specifications for seasonal adjustment of AE AHE series(1)

CES Industry 

Code CES Industry Title Mode 4/5 Week Adj

10/11 Day 

Adj

10-000000 Mining and logging ADD X

20-000000 Construction ADD X

31-321000 Wood products ADD X

31-327000 Nonmetallic mineral products MULT X

31-331000 Primary metals ADD X

31-332000 Fabricated metal products ADD X

31-333000 Machinery ADD X

31-334000 Computer and electronic products ADD X

31-335000 Electrical equipment and 

appliances ADD X 

31-336000 Transportation equipment MULT X

31-336001 Motor vehicles and parts MULT X

31-337000 Furniture and related products ADD X

31-339000 Miscellaneous durable goods 

manufacturing ADD X 

32-311000 Food manufacturing ADD X

32-313000 Textile mills MULT X

32-314000 Textile product mills MULT X

32-315000 Apparel MULT X

32-322000 Paper and paper products ADD X

32-323000 Printing and related support 

activities MULT X 

32-324000 Petroleum and coal products ADD X

32-325000 Chemicals MULT X

32-326000 Plastics and rubber products ADD X

32-329000 Miscellaneous nondurable goods 

manufacturing ADD X 

41-420000 Wholesale trade ADD X

42-000000 Retail trade MULT X

43-000000 Transportation and warehousing ADD X
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 46 of 51

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CES Industry 

Code CES Industry Title Mode 4/5 Week Adj

10/11 Day 

Adj

44-220000 Utilities ADD X

50-000000 Information MULT X

55-000000 Financial activities ADD X

60-000000 Professional and business services ADD X

65-000000 Education and health services ADD X

70-000000 Leisure and hospitality ADD X

80-000000 Other services ADD X

(1)Formerly part of Exhibit 14.

Table 11. Model specifications for seasonal adjustment of AE AWOH series(1)

CES Industry 

Code

CES Industry 

Title Mode 4/5 Week Adj

10/11 Day 

Adj

Easter/Labor Day 

Adj

31-000000 Durable goods ADD X X

32-000000 Nondurable 

goods MULT X X 

(1)Formerly part of Exhibit 14.

To Table of Figures

Table 12. Model specifications for seasonal adjustment of PE series(1)

CES Industry 

Code CES Industry Title Mode 4/5 Week Adj

Other 

Adj

10-000000 Mining and logging ADD X

20-000000 Construction ADD X

31-321000 Wood products ADD X

31-327000 Nonmetallic mineral products ADD X

31-331000 Primary metals ADD X

31-332000 Fabricated metal products MULT X

31-333000 Machinery MULT X

31-334000 Computer and electronic products MULT X

31-335000 Electrical equipment and appliances MULT X

31-336000 Transportation equipment MULT

31-336001 Motor vehicles and parts ADD

31-337000 Furniture and related products MULT X

31-339000 Miscellaneous durable goods 

manufacturing MULT X 

32-311000 Food manufacturing MULT X

32-313000 Textile mills MULT X

32-314000 Textile product mills MULT X

32-315000 Apparel MULT X

32-322000 Paper and paper products MULT X

32-323000 Printing and related support 

activities MULT X 

32-324000 Petroleum and coal products ADD X

32-325000 Chemicals MULT X
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 47 of 51

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CES Industry 

Code CES Industry Title Mode 4/5 Week Adj

Other 

Adj

32-326000 Plastics and rubber products ADD X

32-329000 Miscellaneous nondurable goods 

manufacturing MULT X 

41-420000 Wholesale trade MULT X

42-000000 Retail trade MULT X

43-000000 Transportation and warehousing ADD X

44-220000 Utilities MULT X

50-000000 Information ADD X

55-000000 Financial activities MULT X

60-000000 Professional and business services MULT X

65-000000 Education and health services ADD X

70-000000 Leisure and hospitality ADD X

80-000000 Other services MULT X

(1)Formerly part of Exhibit 14.

To Table of Figures

Table 13. Model specifications for seasonal adjustment of PE AWH series(1)

CES Industry 

Code CES Industry Title Mode 4/5 Week Adj

10/11 

Day Adj

Easter/Labor 

Day Adj

10-000000 Mining and logging MULT X X

20-000000 Construction ADD X X

31-321000 Wood products MULT X X

31-327000 Nonmetallic mineral 

products ADD X X 

31-331000 Primary metals MULT X X

31-332000 Fabricated metal 

products ADD X X 

31-333000 Machinery ADD X X

31-334000 Computer and 

electronic products MULT X X 

31-335000 Electrical equipment 

and appliances MULT X X 

31-336000 Transportation 

equipment ADD X X 

31-336001 Motor vehicles and 

parts ADD X X 

31-337000 Furniture and related 

products MULT X X 

31-339000 

Miscellaneous 

durable goods 

manufacturing 

MULT X X 

32-311000 Food manufacturing MULT X X

32-313000 Textile mills ADD X X

32-314000 Textile product mills MULT X X
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 48 of 51

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CES Industry 

Code CES Industry Title Mode 4/5 Week Adj

10/11 

Day Adj

Easter/Labor 

Day Adj

32-315000 Apparel MULT X X

32-322000 Paper and paper 

products MULT X X 

32-323000 Printing and related 

support activities MULT X X 

32-324000 Petroleum and coal 

products MULT X X 

32-325000 Chemicals MULT X

32-326000 Plastics and rubber 

products MULT X X 

32-329000 

Miscellaneous 

nondurable goods 

manufacturing 

MULT X X 

41-420000 Wholesale trade MULT X X

42-000000 Retail trade MULT X

43-000000 Transportation and 

warehousing MULT X X 

44-220000 Utilities MULT X

50-000000 Information MULT X

55-000000 Financial activities MULT X

60-000000 Professional and 

business services MULT X X 

65-000000 Education and health 

services MULT X 

70-000000 Leisure and 

hospitality MULT X 

80-000000 Other services MULT X X

(1)Formerly part of Exhibit 14.

To Table of Figures

Table 14. Model specifications for seasonal adjustment of PE AHE series(1)

CES Industry 

Code CES Industry Title Mode 4/5 Week Adj

10/11 Day 

Adj

10-000000 Mining and logging MULT X

20-000000 Construction MULT X

31-321000 Wood products MULT X

31-327000 Nonmetallic mineral products MULT X

31-331000 Primary metals MULT X

31-332000 Fabricated metal products ADD X

31-333000 Machinery MULT X

31-334000 Computer and electronic products MULT X

31-335000 Electrical equipment and 

appliances MULT X 

31-336000 Transportation equipment ADD X
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 49 of 51

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CES Industry 

Code CES Industry Title Mode 4/5 Week Adj

10/11 Day 

Adj

31-336001 Motor vehicles and parts MULT X

31-337000 Furniture and related products MULT X

31-339000 Miscellaneous durable goods 

manufacturing ADD X 

32-311000 Food manufacturing MULT X

32-313000 Textile mills MULT X

32-314000 Textile product mills MULT X

32-315000 Apparel MULT X

32-322000 Paper and paper products MULT X

32-323000 Printing and related support 

activities MULT X 

32-324000 Petroleum and coal products ADD X

32-325000 Chemicals MULT X

32-326000 Plastics and rubber products MULT X

32-329000 Miscellaneous nondurable goods 

manufacturing MULT X 

41-420000 Wholesale trade MULT X

42-000000 Retail trade MULT X

43-000000 Transportation and warehousing MULT X

44-220000 Utilities MULT X

50-000000 Information MULT X

55-000000 Financial activities MULT X

60-000000 Professional and business services MULT X

65-000000 Education and health services ADD X

70-000000 Leisure and hospitality ADD X

80-000000 Other services ADD X

(1)Formerly part of Exhibit 14.

Table 15. Model specifications for seasonal adjustment of PE AWOH series(1)

CES Industry 

Code

CES Industry 

Title Mode 4/5 Week Adj

10/11 Day 

Adj

Easter/Labor Day 

Adj

31-000000 Durable goods ADD X X

32-000000 Nondurable 

goods ADD X X 

(1)Formerly part of Exhibit 14.

To Table of Figures

Table 16. Model specifications for seasonal adjustment of WE series(1)

CES Industry 

Code CES Industry Title Mode 4/5 Week Adj Other Adj(2)

10-000000 Mining and logging MULT X

20-000000 Construction MULT X

31-000000 Durable goods MULT X

32-000000 Nondurable goods MULT X
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 50 of 51

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CES Industry 

Code CES Industry Title Mode 4/5 Week Adj Other Adj(2)

41-420000 Wholesale trade MULT X

42-000000 Retail trade MULT X

43-000000 Transportation and 

warehousing ADD X 

44-220000 Utilities MULT X

50-000000 Information MULT X

55-520000 Finance and insurance MULT X

55-530000 Real estate and rental and 

leasing MULT X 

60-540000 Professional and technical 

services ADD X 

60-550000 Management of companies and 

enterprises MULT X 

60-560000 Administrative and waste 

services ADD X 

65-610000 Educational services ADD X

65-620000 Health care and social 

assistance MULT X 

70-710000 Arts, entertainment, and 

recreation MULT X 

70-720000 Accommodation and food 

services ADD X 

80-000000 Other services MULT X

90-910000 Federal ADD X

90-920000 State government ADD X

90-930000 Local government ADD X Election 

adjustment

(1)Formerly part of Exhibit 14.

(2)Election adjustment indicates a special adjustment for the presence/absence of poll workers in local government.

To Table of Figures
Benchmark Article: BLS Establishment Estimates Revised to Incorporate March 2012 Benchmarks

U.S. Bureau of Labor Statistics Page 51 of 51

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Table of figures

For a list of changes to table titles, see www.bls.gov/web/empsit/cesnewseries.htm#tabtitles. 

Tables

Table 1. Percent differences between nonfarm employment benchmarks and estimates by 

industry supersector, March 2002-2012 ............................................................... 2

Table 2. Nonfarm employment benchmarks by industry, March 2012 (in thousands) ...... 3

Table 3. Net birth/death estimates by industry supersector, April – December 2012 (in 

thousands) ............................................................................................................. 9

Table 4. Differences in seasonally adjusted levels and over-the-month changes, Total 

nonfarm employment, January – December 2012 (in thousands) ...................... 10

Table 5. Effect of March 2012 benchmark revisions to AE AWH and AE AHE 

estimates, selected industries .............................................................................. 28

Table 6. Effect of March 2012 benchmark revisions to PE AWH and PE AHE estimates, 

selected industries ............................................................................................... 30

Table 7. Differences between forecasted and actual net birth/death, Total private 

employment, April 2011 – March 2012 (in thousands) ...................................... 35

Table 8. Model specifications for seasonal adjustment of AE series ............................... 39

Table 9. Model specifications for seasonal adjustment of AE AWH series ..................... 44

Table 10. Model specifications for seasonal adjustment of AE AHE series .................... 45

Table 11. Model specifications for seasonal adjustment of AE AWOH series ................ 46

Table 12. Model specifications for seasonal adjustment of PE series .............................. 46

Table 13. Model specifications for seasonal adjustment of PE AWH series.................... 47

Table 14. Model specifications for seasonal adjustment of PE AHE series ..................... 48

Table 15. Model specifications for seasonal adjustment of PE AWOH series ................. 49

Table 16. Model specifications for seasonal adjustment of WE series ............................. 49

Exhibits

Exhibit 1. Series with CES industry code or title changes ............................................... 11

Exhibit 2. Discontinued AE series .................................................................................... 12

Exhibit 3. Collapsed AE series ......................................................................................... 12

Exhibit 4. New AE series .................................................................................................. 12

Exhibit 5. Discontinued Non-AE series ............................................................................ 13

Exhibit 6. Collapsed Non-AE series ................................................................................. 24

Exhibit 7. New Non-AE series.......................................................................................... 24

Last Modified Date: February 1, 2013 

Kerrie Leslie and Brenda Loya, Economists

U.S. Bureau of Labor Statistics | Division of Current Employment Statistics National

PSB Suite 4860, 2 Massachusetts Avenue, NE Washington, DC 20212-0001

www.bls.gov/CES | Telephone: 1-202-691-6555 | CESinfo@bls.gov