EMPLOYMENT and EARNINGS Vol. 11 No. 12 June UNITED STATES DEPARTMENT OF LABOR W. Willard Wirtz, Secretary BUREAU OF LABOR STATISTICS Ewan Clague, Commissioner Content* Pag* Prepared under the direction of: Harold Goldstein, Assistant Commissioner for Manpower and Employment Statistics Gertrude Bancroft, Special Assistant to the Commissioner of Labor Statistics Robert O. Dorman, Chief Division of Industry Employment Statistics Robert L. Stein, Chief Division of Employment and Unemployment Analysis Editor: Joseph M. Finerty Statistical JcMus Section A--Labor Force, Employment, and Unemployment A- 1: Employment status of the noninstitutional population 14 years and over, 1929 to date A- 2: Employment status of the noninstitutional population 14 years and over, by sex, 1940, 1944, and 1947 to date A- 3: Employment status of the noninstitutional population 14 years and over, by sex k... New Series Employment (table B-7) for: Fort Lauderdale-Hollywood, Florida Orlando, Florida Brockton, Massachusetts Kalamazoo, Michigan Labor Turnover (table D-5) for: Chicago, Illinois Cedar Rapids, Iowa A- 4: Unemployed persons, by age and sex. A- 5: Unemployed persons, by industry of last job 3 A- 6: Unemployed persons, by occupation of last job. 4 A- 7: Unemployed persons, by color, marital status, and household relationship 4 A- 8: Unemployed persons, by duration of unemployment 5 A- 9: Long-term unemployed, by industry and occupation of last job 5 A-10: Long-term unemployed, by sex, age, color, and marital status... 6 A-11: Unemployed persons looking for full- or part-time work, by age and sex 6 A-12: A-13: A-14: A-15: A-16: A-17: labor fore Employed per so Employed per so Employed perso; Employed perso: Employed persoi by age and sex. 7, by age and sex. 7, by class of worker and occupation 7, by hours worked 8 s, by full- or part-time status 8 s with a job, but not at work, by reason not working and pay status 8 A-18: Employment status of the noninstitutional population, by age and sex... 9 A-19: Nonagricultural wage and salary workers, by full- or part-time status, hours of work, and industry 9 A-20: Persons at work in nonfarm occupations by full- or part-time status, hours of work, and occupation * 10 A-21: Occupation group of employed persons, by sex and color 10 A-22: Persons at work in nonagricultural industries, by full-time and part-time status, hours of work, and selected characteristics 11 A-23: Persons at work, by hours of work, and class of worker 11 For sale by the Superintendent of Documents, U.S. Government Printing Office, Washington, D.C. 20402 Subscription price: $0 a year; $0 additional for foreign mailing. Price 50 cents a copy. A-24: Summary employment and unemployment estimates, seasonally adjusted. 12 A-25: Seasonally adjusted rates of unemployment 12 A-26: Unemployed persons, by duration of unemployment, seasonally adjusted. 12 A-27: Employment status, by age and sex, seasonally adjusted 12 A-28: Persons at work in nonagricultural industries, by full- or part-time status, seasonally adjusted 12 Continued on following page.
EMPLOYMENT and EARNINGS -Continued Section B-Payroll Employment, by Industry National Data Pag* Caution Periodically, the Bureau adjusts the industry employment series to a recent benchmark to improve their accuracy. These adjustments may also affect the hours and earnings series because employment levels are used as weights. All industry statistics after March 1963, the present benchmark date, are therefore subject to revision. Beginning with December and subsequent issues of Employment and Earnings, data in tables B-l through B-6, C-l through C-7, and D-l through D-4 are based on March 1963 benchmarks. Therefore, issues of Employment and Earnings prior to December cannot be used in conjunction with national industry data now shown in sections B, C, and D. Comparable data for priorperiods are published in Employment and Earnings Statistics for the United States, 1909-64. BLS Bulletin 1312-2, which may be purchased from the Superintendent of Documents for $0. For an individual industry, earlier data may be obtained upon request to the Bureau. When industry data are again adjusted to new benchmarks another edition of Employment and Earnings Statistics for the United States will be issued containing the revised data extending from April 1963 forward to a current date, as well as the prior historical statistics. B-l: Employees on nonagricultural payrolls, by industry division, 1919 to date... 13 B-2: Employees on nonagricultural payrolls, by industry.. 14 B-3: Women employees on payrolls of selected nonagricultural industries 1/ B-4: Indexes of employment on nonagricultural payrolls, by industry division, 1919 to date, monthly data seasonally adjusted. 21 B-5: Employees on nonagricultural payrolls, by industry, seasonally adjusted... 22 B-6: Production workers on manufacturing payrolls, by industry, seasonally adjusted 23 State and Area Data B-7: Employees on nonagricultural payrolls for States and selected areas, by industry division 24 National Data Section C-Industry Hours and Earnings C-l: Gross hours and earnings of production workers on manufacturing payrolls, 1919 to date 33 C-2: Gross hours and earnings of production workers, by industry 34 C-3: Average hourly earnings excluding overtime of production workers on manufacturing payrolls, by industry 46 C-4: Gross and spendable average weekly earnings in selected industries, in current and 1957-59 dollars» #. 46 C-5: Indexes of aggregate weekly man-hours and payrolls in industrial and construction activities... 47 C-6: Average weekly hours of production workers on payrolls of selected industries, seasonally adjusted 48 G-7: Indexes of aggregate weekly man-hours in industrial and construction activities, seasonally adjusted.. 49 State and Area Data C-8: Gross hours and earnings of production workers on manufacturing payrolls, by State and selected areas. 50 Section D-Labor Turnover National Data D-1: Labor turnover rates in manufacturing, 1955 to date*.... 55 D-2: Labor turnover rate8, by industry. 56 D-3: Labor turnover rates in manufacturing, by sex and major industry 1/ D-4: Labor turnover rates in manufacturing, 1955 to date, seasonally adjusted... 61 State and Area Data D-5: Labor turnover rates in manufacturing for selected States and areas 62 Technical Note BLS Regional Offices Cooperating State Agencies 1/ Quarterly data included in February,, August, and November issues. I-E inside back cover inside back cover
HOUSEHOLD DATA Table A-l: Employment status of the noninstitutional population 14 years and over, 1929 to date Year and month noninstitutional popula- labor force fin thousands) Employed * Civilian labor force Percent of population Agriculture Nonagricultural industries Unemployed * Percent of labor force Not seasonally adjusted Seasonally adjusted Not in labor force 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 19*H... 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 3 1954 1955 1956 1957 1958 1959. I960 1 * 1961 1962 5 1963 : June July August... September, October.., November., December., I965: January.., February., March. April., 100,380 101,520 102,610 103,660 104,630 105,530 106,520 107,608 108,632 109,773 110,929 112,075 113,270 115,094 116,219 117,388 118,734 120,445 121,950 123,366 125,368 127,852 130,061 132,124 134,143 133,866 134,041 134,216 134,400 134,586 134,772 134,952 135,135 135,302 135,^9 135,651 135,812 135,982 49,440 50,080 50,680 51,250 51,840 52,490 53,140 53,740 54,320 54,950 55,600 56,180 57,530 60,380 64,560 66,040 65,300 60,970 61,758 62,898 63,721 64,749 65,983 66,560 67,362 67,818 68,896 70,387 70,744 71,284 71,946 73,126 74,175 74,681 75,712 76,971 77,490 79,389 78,958 78,509 76,865 77,112 76,897 76,567 75,699 76,418 76,612 n 49,180 49,820 50,420 51,000 51,590 52,230 52,870 53,440 54,000 54,610 55,230 55,640 55,910 56,410 55,540 54,630 53,860 57,520 60,168 61,442 62,105 63,099 62,884 62,966 63,815 64,468 65,848 67,530 67,946 68,647 69,394 70,612 71,603 71,854 72,975 74,233 74,742 76,645 76,218 75,758 74,122 74,375 74,166 73,841 72,992 73,714 73,909 74,621 75,741 47,630 45,480 42,400 38,940 38,760 40,890 42,260 44,410 46,300 44,220 45,750 47,520 50,350 53,750 54,470 53,960 52,820 55,250 57,812 59,117 58,423 59,748 60,784 61,035 61,945 60,890 62,944 64,708 65,011 63,966 65,581 66,681 66,796 67,846 68,809 70,357 71,101 71,953 72,to5 72,104 70,805 71,123 70,793 70,375 68,996 69,^96 70,169 71,070 72,407 10,450 10,340 10,290 10,170 10,090 9,900 10,110 10,000 9,820 9,690 9,610 9,540 9,100 9,250 9,080 8,580 8,320 8,256 7,960 8,017 7,497 7,048 6,792 6,555 6,495 6,718 6,572 6,222 5,844 5,836 5,723 5,463 5,190 4,9*6 4,761 5,007 5,853 5,819 5,400 5,230 5,126 4,545 3,785 3,739 3,803 3,989 4,473 5,128 37,180 35,140 32,110 28,770 28,670 30,990 32,150 34,410 36,480 34,530 36,140 37,980 41,250 44,500 45,390 45,010 44,240 46,930 49,557 51,156 50,406 52,251 53,736 54,243 55,390 54,395 56,225 58,135 58,789 58,122 59,745 60,958 61,333 62,657 63,863 65,596 66,094 66,100 66,^6 66,704 65,575 65,997 66,2^ 66,590 65,257 65,694 66,180 66,597 67,278 1,550 4,340 8,020 12, 060 12,830 11,340 10,610 9,030 7,700 10,390 9,480 8,120 5,560 2,660 1,070 670 1,040 2,270 2,356 2,325 3,682 3,351 2,099 1,932 1,870 3,578 2,904 2,822 2,936 4,681 3,813 3,931 4,806 4,007 4,166 3,876 3,640 4,692 3,813 3,654 3,317 3,252 3,373 3,h66 3,996 4,218 3,740 3,552 3,335 8 1 2 2 21,7 20,1 16,9 1 19.0 17 1 9 6 5 6 4 5 4 4 44,200 43,990 42,230 39,100 38,590 40,230 45,550 45,850 45,733 46,051 46,181 46,092 46,710 47,732 48,401 48,492 48,348 49,699 50,666 51,420 52,242 53,677 55,400 56,412 57,172 56,376 54,652 55,258 55,891 57,721 57,661 58,055 58,568 59,603 59,051 59,039 58,504 57,556 *Data for 1947-56 adjusted to reflect changes in the definition of employment and unemployment adopted in January 1957. Two groups averaging about one-quarter million workers which were formerly classified as employed (with a job but not at work)-those on temporary layoff and those waiting to start new wage and salary jobs within 30 dayswere assigned to different classifications, mostly to the unemployed. Data by sex, shown in table A-2, were adjusted for the years 1948-56. 2 Not available. ^Beginning 1953, labor force and employment figures are not strictly comparable with previous years as a result of the introduction of material from the 1950 Census into the estimating procedure. Population levels were raised by about 600,000; labor force, total employment, and agricultural employment by about 350,000, primarily affecting the figures for total and males. Other categories were relatively unaffected. ^Data include Alaska and Hawaii beginning I960 and are therefore not strictly comparable with previous years. This inclusion has resulted in an increase of about half a million in the noninstitutional papulation 14 years of age and over, and about 300,000 in the labor force, four-fifths of this in nonagricultural employment. The levels of other labor force categories were not appreciably changed. ^Figures for periods prior to April 1962 are not strictly comparable with current data because of the introduction of I960 Census data into the estimation procedure. The change primarily affected the labor force and employment totals, which were reduced by about 200,000. The unemployment totals were virtually unchanged. NOTE: Data for 1929-39 based on sources other than direct enumeration.
HOUSEHOLD DATA Sex, year, and month MALE 19*0 19** 19*7 19*8 19*9 1950 1951 1952 1953 2 195* 1955 1956 1957 1958 1959 i960 3 1961 1962 4 1963 196* 196*: June July August... September, October.., November., December., I965: January., February., March. April...,, FEMALE 191*0, 19** 19*7 19*9"!!1!!!~"1 1950 1951 1952 1953 2 195* 1955 1956 1957 1958 1959 I960 3 1961 1962 4 1963 196*, 196*:, June, July, August... September October.. November. December. : January.. February. March... April... Table A-2: Employment status of the noninstitutional population 14 years and over, by sex, 1940, 1944, and 1947 to date noninstitutional population 5O,O8O 51,980 53,085 53,513 5*,O28 5*,526 5^,996 55,503 56,53* 57,016 57,*8* 58,0** 58,813 59,*78 60,100 61,000 62,11*7 63,23U 6l*,l63 65,065 61*,938 65,018 65,097 65,180 65,266 65,351 65,1*32 65,516 65,590 65,661* 65,7*7 65,817 65,893 50,300 52,650 5*,523 55,118 55,7*5 56,1*0* 57,078 57,766 58,561 59,203 59,90* 60,690 61,632 62,*72 63,265 6*,368 65,705 66,8*8 67,962 69,079 68,928 69,02* 69,119 69,220 69,320 69,*21 69,520 69,619 69,712 69,805 69,90* 69,99* 70,089 labor force Number *2,020 *6,670 1O*,81*1* *5,3OO *56 7 * 1*6,069 1*6,67* *7,001 1*7,692 *7,8*7 *8,05* *8,579 1*8,61*9 1*8,802 *9,08l *9,5O7 *9,9l8 50,175 50,573 51,118 51,29* 52,813 53,057 52,58* 51,083 50,918 50,709 50,1*80 50,212 50,538 50,628 51,168 51,908 Il*,l6o 19,370 16,915 17,599 18,0*8 18,680 19,309 19,558 19,668 19,971 20,8*2 21,808 22,097 22,*82 22,865 23,619 2*,257 2*,507 25,1*1 25,85* 26,196 26,576 25,901 25,925 25,782 26,19* 26,188 25,1*87 25,880 25,98* 26,139 26,517 8 89 8* 81*. 7 8*. 5 8* 81*. 9 8* 8*.* 8 8 8 8 8 8 8 80.3 79.3 78 78 79.0 8 81 8O 78.3 77 77 77.0 76 77.0 77.0 77 78 28 3 3 3 3* 3 3 3 3 3 3* 3 3 36.0 36 36 36 36 37.0 37.* 38.0 38 37 37 37 37 m36 37 37 37.3 37 (In thousands) *l,*80 35,*6o *3,272 *3,858 **,O75!**,**2 *3,612 *3,*5* **;i9* **,537 *5,0*l *5,756 *5,882 1^,197 *6,562 1*7,025 *7,378 *7,38O *7,867 1*8,1*10 *8,577 50,100 50,3*7 *9,86* 1J8,370 1*8,211 1J6,008 *7,78* *7,537 *7,866 *7,957 1*8,513 * ll*,l60 19,170 16,896 17,583 18,030 18,657 19,272 19,513 19,621 19,931 20,806 21,77* 22,06* 22,*51 22,832 23,587 2*,225 2*,*7* 25,109 25,823 26,165 26,5*5 25,871 25,89* 25,752 26,16* 26,158 26,056 25,*55 25,81*8 25,952 26,108 6hS6 35,550 35,110 1*1,677 1*2,268 *l,*73 *2,l62 *2,362 *2,237 1*^966 *2,165 *3,152 *3,999 *3,99O 1*3,0*2 **,089 l*l*,l*85 **,318 l*l*,892 *5,33O *6,139 116,510 *7,*70 *8,l6* *7,79l ^,557 l»6,**8 *6,152 *5,6*5 *5,O56 *5,3O7 *5,675 *6,*22 *7,31* 11,970 18,8^0 16,3*9 16,31*8 16,9*7 17,58* 18,*21 18,798 18,97? 18,72* 19,790 20,707 21,021 20,92* 21,*92 22,196 22,*78 22,95* 23,*79 2l*,2l8 2*,591 2*,*83 21*, 2*1 2*,313 2*,2l*8 2*,67* 2*,6*1 2l*,730 23,9*0 2l*,l8Q 2*,*9* 2l*,6*8 25,093 Employed 1 8,*5O 7,020 6,953 6,623 6,629 6,271 5,791 5,623 5,*96 5,*29 5,268 5,037 *,802 *,7*9 *,678 *,5O8 l*,266 *,021 3,881* *,01* *,6io *,593 *,3*8 *,08l *,026 3,666 3,2*7 3,2 3,296 3,*22 3,738 1,090 1,930 1,31* 1,338 1,386 1,226 1,257 1,170 1,061 1,067 1,239 1,306 1,18* 1,0*2 1,087 1,0*5 955 92* 925 877 993 1,2*3 1,226 1,052 1,1*9 1,100 879 538 *92 506 567 735 1,031 *See footnote 1, table A-l. ^See footnote 3, table A-l. %ee footnote 4, table A-l. *See footnote 5, table A-l. Civilian labor force Percent of population Agriculture Nonagricultural industries 27,100 28,090 3*,725 35,6*5 3*,8** 35,891 36,571 36,61* 37,*7O 36,736 37,673 38,731 38,952 38,21*0 39,3*0 39,807 39,811 1*0,626 *l,3o9 *2,255 *2,1*96 *2,860 *3,571 *3,**3 *2,*76 1*2,1*23 *2,*87 *2,398 *l,8l0 *2,011 *2,253 *2,683 1*3,216 10,880 16,920 15,036 15,510 15,561 16,358 17,16* 17,628 17,918 17,657 18,551 19,*01 19,837 19,882 2O,*O5 21,151 21,523 22,031 22,55* 23,3*1 23,5?8 23,21*0 23,015 23,261 23,099 23,57* 23,762 2l*,192 23,**7 23,682 23,927 5,930 350 1,595 1,590 2,602 2,280 1,250 1,217 1,228 2,372 1,889 1,757 1,893 3,155 2,1*73 2,5*1 3,060 2,1*88 2,537 2,271 2,067 2,630 2,183 2,07* 1,813 1,762 1,856 2,139 2,li6l 2,558 2,283 2,091 1,9*1 2,190 320 5*7 735 1,083 1,073 851 715 6*2 1,207 1,016 1,067 1,0*3 1,526 1,3*0 1,390 1,7*7 1,519 1,629 1,605 1,57* 2,062 1,630 1,581 1,503 1,*89 1,517 1,327 1,515 1,659 1,*58 i,h6o 1,393 Unemployed^ Percent of labor force Not seasonally adjusted 1*.3 * *.l 5 -? 5.* 6 * *.3 *,3 * * * *.3 1 *.l 6.0 5 * * 6 * * * 7 6 6 6 6.0 7 6 5 5 5 6.0 6.* Seasonally adjusted * * * * * *.* 1*.* *.3 *.3 *.3 *.l *.3 6 6 5 6.0 6.0 6 5 5 6.0 5.* Not in labor force 8,060 5,310 8,2*2 8,213 8,35* 8,*57 8,322 8,502 8,8*0 9,169 9,*3O 9,*65 10,16* 10,677 11,019 n,*93 12,229 13,059 I3,5?o 13,9*7 13,61*1* 12,205 12,0*1 12,596 1*,183 1*,*3* 1*,723 15,035 15,377 15,126 15,119 1*,6*9 13,985 36,ll*O 33,280 37,608 37,520 37,697 37,72* 37,770 38,208 38,893 39,232 39,062 38,883 39,535 39,990 *0,*01 *O,7*9 *1,**8 *2,3*1 *2,822 *3,225 *2,732 *2,**8 *3,218 *3,295 *3,538 *3,227 *3,332 *3,533 **,225 *3,925 *3,920 *3,855 *3,572
HOUSEHOLD DATA Table A-3: Employment status of the noninstitutional population 14 years and over, by sex (In thousands) Employment status Female 135,982 135,812 L33,866 65,893 65,817 64,938 70,089 69,994 68,928 labor force Civilian labor force Employed Agriculture Nonagricultural industries Unemployed Looking for full-time work Looking for part-time work Not in labor force 78,425 75,741 72,407 5,128 67,278 3,335 2,729 605 57,556 77,307 74,621 71,070 4,473 66,597 3,552 2,954 597 58,504 77,490 74,742 71,101 5,007 66,094 3,640 3,044 596 56,376 51,908 49,255 47,314 4,098 43,216 1,941 1,641 300 13,985 51,168 48,513 46,422 3,738 42,683 2,091 1,768 323 14,649 51,294 48,577 46,510 4,014 42,496 2,067 1,757 310 13,644 26,517 26,486 25,093 1,031 24,062 1,393 1,088 305 43,572 26,139 26,108 24,648 733 23,913 1,460 1,186 274 43,855 26,196 26,165 24,591 993 23,598 1,574 1,287 286 42,732 Table A-4: Unemployed persons, by age and sex Age and sex Thousands of persons Unemployment rate Percent distribution 3,335 3,552 3,640 4 Male 14 to 19 years... 14 and 15 years 16 to 19 years 20 to 24 years... 25 to 34 years... 35 to 44 years... 45 to 54 years... 55 to 64 years... 65 years and over Female 14 to 19 years... 14 and 15 years 16 to 19 years. 20 to 24 years... 25 to 34 years... 35 to 44 years... 45 to 54 years... 55 to 64 years... 65 years and over 1,941 621 86 535 293 245 303 228 183 69 1,393 453 34 419 237 193 223 177 79 32 2,091 505 41 463 348 309 335 264 234 97 1,460 428 17 410 222 236 259 153 126 38 2,067 599 72 527 311 296 265 284 228 83 1,574 477 39 438 280 216 250 205 114 32 1 10 16 6.0 17.0 8 18 7 1 6 1 7 17 6 18 1 8 17.3 6 6.0 18 9 20 8 58 18 16.0 8 7.3 9 1 1 7 5 6 58 1 1 9 8 9 7 6 4 1 11 6 6 7.3 5 16 1 8 8 7.3 7 4 1 1 7 6 Table A-5: Unemployed persons, by industry of last job Industry u lemployment ra te Percent distribution 4 Experienced wage and salary workers.. Agriculture Nonagricultural industries Mining, forestry,- fisheries Construction Manufacturing Durable goods Nondurable goods Transportation and public utilities. Wholesale and retail trade Finance, insurance, and real estate Service industries Public administration Self-employed and unpaid family workers No previous work experience 14 to 19 years 20 years and over 6.0 7 4-8 10 5 - - 6 7 7 - - - 74 7 9 2 10 1 17 1 2 19 80 77 1 26 1 1 17 1 16 1 77 74 8 2 1 1 17 15 19 1
HOUSEHOLD DATA Table A-6: Unemployed persons, by occupation of last job Unemployment rate Percent distribution Occupation 4 White-collar workers Professional and technical Managers, officials, and proprietors Clerical workers Sales workers... Blue-collar workers Craftsmen and foremen Operatives Nonfarm laborers Service workers Private household workers Other service workers Farm workers Fanners and farm managers Farm laborers and foremen No previous work experience 9 6 6.0 6 8 5 6 8 5 20 10 40 9 2 7 1 1 2 20 10 46 1 2 9 1 1 16 20 10 4 8 2 10 1 4 1 19 Table A-7: Unemployed persons, by color, marital status, and household relationship Thousands of persons Unemployment rate Percent distribution Characteristics COLOR White, total, Male Female, Nonwhite, total Male Female MARITAL STATUS 3,335 2,752 1,628 1,124 583 313 269 3,552 2,902 1,749 1,153 650 342 307 3,640 2,895 1,677 1,218 745 389 356 4 7.0 6 7 4 7 7.0 9 5 9.0 8.0 10 8 48 3 17 9 8 8 49.3 3 18.3 9 8 79 46 3 20 10 9 Male Married, wife present Single 14 to 19 years 20 years and over Other marital status 3,335 1,941 807 952 602 350 183 3,552 2,091 967 909 488 422 215 3,640 2,067 847 1,002 585 417 217 10 1 6 6 4 10 1 8 8 1 1 8 8 58 2 28 18 10 58 27 2 1 1 6 5 2 27 16 11 6.0 Female Married, husband present Single 14 to 19 years 20 years and over Other marital status 1,393 585 563 416 147 245 1,460 647 524 360 163 289 1,574 644 624 423 200 306 9 17 8 16 5 6.0 10 18 5 17 16 1 7.3 4 18 1 10 8 4 17 17 1 8 HOUSEHOLD RELATIONSHIP Household head Living with relatives Not living with relatives Wife of head Other relative of head Non-relative of head 3,335 1,141 901 239 568 1,578 49 3,552 1,393 1,124 268 618 1,450 90 3,640 1,244 999 246 618 1,716 63 1 4 1 6 4 1 3 27.0 7 17.0 47.3 1 39 3 7 17 40 3 27 17.0 47
HOUSEHOLD DATA Table A-8: Unemployed persons, by duration of unemployment Duration of unemployment Thousands of persons Percent distribution Category Thousands of persons Percent distribution Totol Less than 5 weeks 5 to 14 weeks 7 to 10 weeks 11 to 14 weeks L5 weeks and over 15 to 26 weeks 27 weeks and over Average (mean) duration... 3,335 1,688 842 266 390 187 804 442 363 1 3,552 1,620 882 258 356 268 1,050 627 423 1 3,640 1,671 885 294 338 252 1,084 556 529 1 50 2 8.0 1 24 1 10 4 24 7.3 10.0 7 29 17 1 4 2 8 9.3 6 29 1 1 Persons on temporary layoff Persons scheduled to begin new jobs within 30 days. All other unemployed... 3,335 79 123 3,133 3,552 102 111 3,339 3,640 87 97 3,456 9 9 9 Table A-9: Long-term unemployed, by industry and occupation off last job Characteristics Unemployed 15 weeks and over Percent of unemployed in each group Percent distribution Unemployed 27 weeks and over Percent of unemployed in each group Percent distribution Civilian labor force (percent distribution) INDUSTRY 24 29 10 1 Experienced wage and salary workers Agriculture. Nonagricultural industries...., Mining, forestry, fisheries...., Construction, Manufacturing, Durable goods Nondurable goods, Transportation and public utilities, Wholesale and retail trade.... Finance, insurance, and real estate, and service industries. Public administration 27 27 26 2 28.0 25 28 29 3 3 3 3 38 3 39.3 20.0 3 27 CD 8 8 10 25 1 1 20 19 86 8 1 9 30.3 1 1 19.3 16 11 11 4 1 1 1 1 10.3 1 10 15 1 18 15 21 10.0 1 1 79.3 78 30.0 16 1 19 1 8 8 7 30 1 17 16 17 8 8 5 25 1 1 15 2 Self-employed and unpaid family workers 1 No previous work experience 1 17.0 1 1 7 9 1 1 OCCUPATION. 24 29 10 1 White-collar workers Professional and technical Managers, officials, and proprietors Clerical workers Sales workers Blue-collar workers Craftsmen and foremen Operatives Nonfarm laborers Service workers Private household workers Other service workers Farm workers Farmers and farm managers Farm laborers and foremen No previous work experience 2 2 2 27 2 30 26 2 3 3 1 * Percent not shown where base is less than 100,000. 3 21 3 3 3 3 3 38.3 27 2 29 17.0 2 10.0 45 1 2 8 19 1 1 2 1 49 9.0 26 1 1 1 1 1 1 1 9 10 1 9 10 1 1 7 14 10 1 1 17 1 19 1 1 1 1 9 2 1 39 1 2 7 19.3 1.0 1 19 1 50 7 3 10 1 1 1 4 11 10.0 1 36 1 18 5 1 9 6
HOUSEHOLD DATA Table A-10: Long-term unemployed, by sex, age, color, and marital status Characteristics Unemployed 15 weeks and over Percent of unemployed Percent distribution in each group Unemployed 27 weeks and over Percent of unemployed Percent distribution in each group Civilian labor force (percent distribution) AGE Male 14 to 19 years 20 to 24 years... 25 to 44 years.. 45 years and over Female 14 to 19 years 20 to 24 years 25 to 44 years 45 years and over White, total Male Female Nonwhite, total Male Female COLOR MARITAL STATUS Male Married, wife present... Single 14 to 19 years 20 years and over Other marital status Female Married, husband present.. Single 14 to 19 years 20 years and over Other marital status 24 2 16 20 2 39 2 1 1 3 3 24 2 2 2 2 27 26.0 24 2 28.0 2 1 3 3 2 2 1 1 17 3 29 3 18 26.0 3 50 2 1 27 3 3 29 28 3 2 3 3 30.3 29 3 4 2 18 3 4 2 26 20.0 1 36 3 6 1 7 17 2 38.3 7.3 16 11 80 50 29 19 10 8 6 28 26 1 1 7 38.3 18 9 5 10 6 10.3 7 17 27 36 5 7 1 10 7 50 2 2 1 10.0 6 3 2 10.0 1 8.3 36 16.0 11 6 9 10 1 7 10 1 20.0 8 1 1 10 9 1 6 16.0 16 1 10 1 1 10 7.3 17 1 8 9 10 1 1 16 8 1 1 29.0 1 1 16 1 1 1 15 10 18 19.3 18 1 16 19.0 1 8 17.0 2 1 1 10.3 6 19 15 67 1 8 20.3 26 3 4 1 10 7 5 2 2 1 1 67 3 28 1 16 6 3 16.0 7 9 6 9 6 1 3 36 7.0 1 10.0 7 48 2 26 1 1 6 30 2 9 1 9 36 15 1 7 8 6 6 27 2 3 1 1 89.0 58 30 1 6 6 49 1 6 3 19 8 7 Table A-ll: Unemployed persons looking for full- or part-time work, by age and sex Age and sex Looking for full-time work (thousands of persons) Looking for part-time work (thousands of persons) Looking for part-time work as a percent of unemployed in each group 2,729 2,954 3,044 605 597 596 18 1 16 Male 14 to 19 years... Major activity: Going to school All other 20 to 24 years... 25 to 54 years... 55 years and over. 1,641 384 210 175 268 764 223 1,768 271 74 197 307 896 295 1,757 362 200 163 289 827 279 300 237 231 6 24 10 32 323 234 203 31 41 13 36 310 237 228 10 22 20 31 1 38 5 8 1 15 4 7 1 11 10 1 39 5 5 7 10.0 Female 14 to 19 years... Major activity: Going to school All other 20 to 24 years... 25 to 54 years... 55 years and over. 1,088 300 204 96 212 502 75 1,186 299 115 184 202 557 129 1,287 351 208 144 251 562 123 305 153 145 8 25 91 37 274 130 114 16 19 90 36 286 126 110 15 29 109 24 2 3 41 7 10 1 3 18 30.3 49 8.0 8 1 21 18 26 3 9 10 16 1
HOUSEHOLD DATA Table A-12: labor force, by age and sex Table A-13: Employed persons, by age and sex Age and sex Male 14 to 19 years.... 14 and 15 years.. 16 and 17 years.. 18 and 19 years.. 20 to 24 years... 25 to 34 years... 35 to 44 years... 45 to 54 years... 55 to 64 years... 55 to 59 years... 60 to 64 years... 65 years and over.. Female 14 to 19 years... 14 and 15 years.. 16 and 17 years.. 18 and 19 years.. 20 to 24 years... 25 to 34 years... 35 to 44 years... 45 to 54 years... 55 to 64 years... 55 to 59 years... 60 to 64 years... 65 years and over.. Thousands of persons 7825 508 4,669 849 1,603 2,218 5,801 10,670 11,548 10,163 6,838 3,961 2,877 2,222 26,517 2,669 381 875 1,413 3,327 4,306 5,794 5,757 3,633 2,233 1,400 1,030 77,307 77,490 51,168 4,167 630 1,432 2,105 5,778 10,633 11,526 10,140 6,802 3,933 2,869 2,126 26,139 2,470 277 801 1,392 3,283 4,302 5,820 5,634 3,607 2,208 1,399 1,024 51,294 4,409 859 1,625 1,925 5,599 10,610 11,607 10,093 6,754 3,934 2,820 2,222 26,196 2,554 403 912 1,240 3,168 4,264 5,813 5,753 3,583 2,238 1,345 1,059 S7 78 4 2 45 70 86 97 97-6 9 8 9 79-2 29 37 26 1 25 4 49 38.3 46 5 4 47 3 10 Labor force participation rate 56 77*7 40 17 40 67 86 97-3 97 95 8 90 79 27 37«3 24 8 2 4 49.O 38.3 4 50 4 47.3 3 10 57 79.O 4 2 45 69 87.O 97-3 97-7 96 8 91-7 78 29 38.O 26 11 26 45 48 38.0 46 5 4 48 33-9 1 Age and sex All industries 14 to 19 years... 20 to 24 years... 25 to 34 years... 35 to 44 years... 45 to 54 years... 55 to 64 years... 65 years and over.. Nonagricultural 14 to 19 years... 20 to 24 years... 25 to 34 years... 35 to 44 years.... 45 to 54 years... 55 to 64 years... 65 years and over.. Agriculture... 14 to 19 years... 20 to 24 years... 25 to 34 years... 35 to 44 years... 45 to 54 years... 55 to 64 years... 65 years and over.. 47,314 3,557 4,577 9,678 10,848 9,850 6,650 2,153 43,216 2,923 4,270 9,202 10,206 9,025 5,909 1,680 '6 4 307 476 642 825 741 473 (In thousands) Male 46,422 3,171 4,498 9,576 10,794 9,790 6,564 2,028 42,683 2,668 4,247 9,134 10,159 9,018 5,849 1,609 3,738 504 250 443 635 772 715 420 46,510 3,307 4,335 9,551 10,936 9,721 6,521 2,139 42,496 2,706 4,061 9,074 10,264 8,958 5,816 1,615 4 014 '601 274 477 672 762 705 524 29^ 24,648 2,209 2,035 3,080 3,051 4,107 4,059 5,567 5,557 5,578 5,479 3,554 3,480 998 986 24,062 2,126 3,024 3,954 5,350 5,268 3,395 944 1,031 83 55 153 217 309 158 55 Female 23,913 1,976 3,001 3,974 5,387 5,294 3,350 932 735 59 51 85 170 185 130 54 24,591 2,070 2,877 4,041 5,560 5,546 3,469 1,027 23,598 1,969 2,825 3,868 5,357 5,316 3,304 959 993 102 52 173 204 229 164 69 Table A-14: Employed persons, by class of worker and occupation (In thousands) Characteristics CLASS OF WORKER Nonagricultural industries Wage and salary workers Private household workers Government workers Other wage and salary workers.. Self-employed workers Unpaid family workers Agriculture Wage and salary workers Self-employed workers Unpaid family workers OCCUPATION White-collar workers Professional and technical Managers, officials, and proprietors Clerical workers Sales workers Blue-collar workers Craftsmen and foremen Operatives Nonfarm laborers Service workers Private household workers Other service workers Farm workers Farmers and farm managers Farm laborers and foremen 72,407 67,278 59,993 2,686 9,508 47,799 6,674 610 5,128 1,584 2,546 998 72,407 31,907 8,615 7,526 10,923 4,643 26,361 9,007 13,303 4,051 9,326 2,241 7,085 4,811 m 71,070 66,599 59,550 2,378 9,508 47,664 6,407 643 4,471 1,280 2,408 782 71,070 32,090 8,876 7,483 11,094 4,637 25,782 8,918 13,196 3,668 9,063 2,077 6,986 4,136 2,325 1,811 71,101 66,094 59,087 2,889 9,675 46,523 6,426 581 5,007 1,574 2,467 966 71,101 31,054 8,629 7,459 10,568 4,398 25,789 9,016 12,845 3,928 9,589 2,419 7,170 4,668 2,408 2,260 47,314 43,216 37,982 497 5,510 31,975 5,157 77 4,098 1,304 2,397 397 47,314 17,962 5,519 6,411 3,241 2,791 22,281 8,705 9,621 3,955 3,244 55 3,189 3,827 Male 46,422 1*2,686 37,654 341 5,574 31,739 4,950 82 3,736 1,118 2,261 356 46,422 18,022 5,553 6,377 3,338 2,754 21,730 8,638 9,540 3,552 3,208 52 3,156 3,463 2,186 1,277 46,510 ^2,496 37,440 514 5,699 31,227 4,985 70 4,014 1,325 2,307 383 46,510 17,639 5,461 6,354 3,173 2,651 21,767 8,768 9,166 3,833 3,361 75 3,286 3,743 2,255 1,488 25,093 24,062 22,011 2,189 3,998 15,824 1,518 533 1,031 281 149 601 25,093 13,946 3,297 1,115 7,682 1,852 4,084 304 3,683 97 6,082 2,186 3,896 984 144 840 Female 24,648 23,913 21,896 2,037 3,934 15,925 1,457 560 735 162 147 426 24,648 14,066 3,323 1,106 7,756 1,881 4,053 281 3,656 116 5,854 2,025 3,829 674 140 534 24,591 23,598 21,647 2,375 3,976 15,296 1,441 510 993 249 160 584 24,591 13,414 3,168 1,104 7,395 1,747 4,024 249 3,680 95 6,228 2,344 3,884 926 153 773 777-676 O-65 2
HOUSEHOLD DATA Table A-15: Employed persons, by hours worked (In thousands) All Industrie Nonagricultural industries Agriculture Hours worked Ifcy 72,407 71,070 71A01 67,278 66,597 66,09** 5,128 5,007 With a job but not at work.. At work 4 hours 1-4 hours 5-14 hours 15-34 hours 35 hours or more 35-40 hours 41 hours and over.... Average hours, total at work 2,402 70,005 13,522 1,128 3,667 8,725 56,482 32,312 24,170 40 2,9^5 68,125 17,53k 992 3,336 13,207 50,591 29,899 20,692 39 2,396 68,706 13,750 1,113 3,731 8,906 5^,956 31,730 23,226 40 2,304 64,97^ 11,966 1,055 3,350 7,563 53,008 31,65^ 21,354 40.3 2,798 63,801 16,117 938 3,038 12,140 47,686 29,187 18,499 39-2 2,304 63,790 12,283 1,057 3, ^09 7,817 51,505 31,055 20,450 40.0 97 5,031 1,556 7^ 319 1,162 3,^75 658 2,817 48 147 ^,323 1,417 53 297 1,067 2,907 712 2,195 92 6, 7 56 322 1,089 3,H8 674 2,77^ 48 Table A-16: Employed persons, by full- or part-time status (In thousands) All industries Nonagricultural industries Full- or part-time status 72,407 71,070 71,101 67,278 66,597 With a job but not at work At work On full-time schedules 35 hours or more 4 hours for noneconomic reasons Bad weather Industrial dispute Vacation Illness Holiday All other reasons On part time for economic reasons Usually work full time Average hours Usually work part time Average hours On part time for noneconomic reasons; usually work part time 2,402 70,005 58,441 56,482 1,959 257 15 222 813 2 650 1,997 99^ 2 1,003 17 9,568 2,9^5 68,125 57,^5 50,591 6,894 5^5 29 512 705 4,406 696 2,002 972 2 1,030 18 8,637 2,396 68,706 56,921 5^,956 1,965 246 35 219 748 27 690 2,285 997 2 1,288 18 9,501 2,304 64,97^ 5^,781 53,008 1,773 170 15 214 111 597 1,828 936 2 892 17-6 8,367 2,798 63,801 5^,337 47,686 6,651 37^ 29 510 677 J+,393 667 1,783 862 23.O 921 18.3 7,682 2,304 63,790 53,329 51,505 1,824 182 35 217 717 27 646 2,068 931 2 1,137 18 8,392 Table A-17: Employed persons with a job, but not at work, by reason not working and pay status (In thousands) Nonagricultural industries Reason not working All industries Number \Page and salary workers 1 3 ercent pai< i 2,402 2,945 2,396 2,304 2,798 2,304 2,025 2,473 2,003 50.3 5 5 Bad weather Vacation Illness All other reasons 21 54 759 1,063 504 64 1,191 1,070 585 12 35 833 911 604 12 752 1,005 481 49 35 1,189 996 528 3 35 826 860 58O 8 721 891 353 23 35 1,108 891 416 35 768 758 443 87 36.O 18 78 3 30.0 86 3 19
Table A-18: Employment status of the noninstitutional population, by age and sex HOUSEHOLD DATA Age, sex, and color labor force Number Percent of population (In thousands) Civilian 1abor force Employed Agriculture Nonagricultural industries Unemployed Number Percent of labor force Keeping house Not in labor force In school Unable to work Other Male 51,908 78 49,255 47,314 4,098 43,216 1,941 13,985 122 6,323 1,061 6,480 14 and 15 years 16 and 17 years. 18 and 19 years 20 to 24 years. 25 to 29 years.... 35 to 39 years..... 849 1,603 2,218 5,801 5,360 5,310 5,712 2 45 70 86 97.0 98.3 97 849 1,553 1,777 4,870 4,939 4,984 5,486 763 1,275 1,519 4,577 4,790 4,888 5,337 193 258 183 307 196 280 278 569 1,018 1,336 4,270 4,594 4,608 5,059 86 277 258 293 149 96 149 10 17 1 6.0 2,689 1,925 945 897 167 92 122 0 10 0 5 0 3 1 2,670 1,836 886 784 106 20 9 3 13 10 27 10 27 56 15 66 50 81 51 42 56 40 to 44 years 45 to 49 years.. 55 to 59 years 60 to 64 years 65 to 69 years 70 years and over 5 836 5,332 4,831 3 961 2,877 1,266 956 97.3 96 9 91 0 79 4 19 5,666 5,268 4,810 3,957 2,876 1,266 956 5,511 5,164 4,686 3,848 2,802 1,227 926 364 376 449 391 350 219 254 5,147 4,788 4,237 3,458 2,451 1,008 672 154 104 124 109 74 39 30 163 185 246 392 756 1,537 3,868 8 8 4 6 6 20 52 10 0 1 0 0 0 1 51 73 75 117 164 109 327 94 105 167 269 586 1,409 3,488 White Nonwhite 46,775 5,135 79 75 44,346 4,910 42,717 4,596 3,602 496 39,116 4,100 1,628 313 6 12,334 1,650 109 13 5,473 849 888 172 5,864 616 Female 26,517 37 26,486 25,093 1,031 24,062 1,393 43,572 35,260 6,827 601 884 14 and 15 years. 16 and 17 years 18 and 19 years 20 to 24 years 45 to 49 years 50 to 54 years 55 to 59 years 60 to 64 years 70 years and over 381 875 1,413 3,327 2,186 2,120 2,660 3,134 3,075 2,682 2,233 1,400 627 403 1 25 4 49 38 38.0 4 49 5 49 47 3 18 381 875 1,406 3,317 2,182 2,117 2,658 3,132 3,074 2,681 2,233 1,400 627 403 347 661 1,201 3,080 2,090 2,017 2,547 3,020 2,959 2,619 2,186 1,368 600 398 26 35 22 55 64 89 97 120 174 135 78 80 28 27 320 627 1,179 3,024 2,026 1,928 2,450 2,900 2,785 2,483 2,107 1,288 572 372 34 214 205 237 93 100 HI 112 115 62 48 31 27 5 8 2 1 7 3,056 2,570 1,707 3,399 3,486 3,456 3,432 3,207 2,754 2,692 2,447 2,639 2,735 5,991 39 282 638 2,828 3,423 3,411 3,365 3,144 2,656 2,613 2,382 2,534 2,607 5,336 2,990 2,225 1,022 499 29 16 18 14 8 3 0 1 0 1 4 13 4 16 11 10 16 27 34 33 31 37 46 318 23 51 42 55 23 18 32 23 56 43 33 67 82 336 23,072 3,446 36 45 23,044 3,443 21,920 3,173 832 199 21,088 2,974 1,124 269 7 39,424 4,147 32,266 2,994 5,893 934 510 91 755 129 Table A-19: Nonagricultural wage and salary workers, by full- or part-time status, hours of work, and industry Industry (Percent distribution) F at work On fulltime schedules ull- or part-time status On part time Usually work full time Economic reasons Usually work part time Other reasons Usually work part time at work 1 to 34 hours Hours of work 35 to 40 hours 41 to 48 hours 49 hours over 1 8 1 18 5 1 1 Finance, insurance, and real estate Service industries 89 9 9 9 9 7 89 7.3 1 21 9 24 16.0 8 6 1 8 26.0 1 30 5 60 6 59 6 37 6 4 15 17 17 16 1 18 1 1 1 1 1 1 1 18 1 1 *Includes forestry and fisheries, mining and public administration, not shown separately.
HOUSEHOLD DATA 10 Table A-20: Persons at work in nonfarm occupations by full- or part-time status, hours of work, and occupation Occupation Thousands at work Percent (Percent distribution) Full or part-time status On part time On fulltime' Economic reasons schedules Usually work full time Usually work part time Other reasons Usually work part time at work 1 to 34 hours Hours of work 35 to 40 hours 41 to 48 hours 49 hours and over Average hours, total at work Clerical workers Nonfarm laborers........... 30,905 8,597 7,285 10,550 M73 25,402 8,695 12,771 3,936 8,983 2,174 6,809 86 88 9 8 71 QQ 9 90 7 6 37 71 0 0.3 10 1 10 1 2 6 2 3 5 24 1 1 17 30 1 8 1 3 39 64 3 49 50 3 66 3 5 5 5 4 3 20 40.3 1 14 16.0 10 1 17 18.3 17 1 1 7 1 21 2 4 5 21; 2 1 19.0 1 1 1 7 14 4 4 50.0 37.^ 37 ko.q 4 4 3 3 2 37 Table A-21: Occupation group of employed persons, by sex and color Ifey Occupation Thousands Male Female Male Percent distribution White Female Nonwhite Male Female White-collar workers Professional and technical Medical and other health Teachers, except college Other professional and technical Managers, officials, and proprietors Salaried workers Self-employed workers in retail trade... Self-employed workers, except retail trade Clerical workers Stenographers, typists, and secretaries.. Other clerical workers Sales workers Retail trade Other sales workers Blue-collar workers Craftsmen, foremen Carpenters Construction craftsmen, except carpenters Mechanics and repairmen Metal craftsmen, except mechanics Other craftsmen and kindred workers... Foremen, not elsewhere classified Operatives Drivers and deliverymen Other operatives Durable goods manufacturing Nondurable goods manufacturing Other industries Nonfarm laborers Construction Manufacturing Other industries Service workers Private household workers Service workers, except private household. Protective service workers Waiters, cooks, and bartenders Other service workers Farm workers Farmers and farm managers Farm laborers and foremen Paid workers Unpaid family workers 1 Less than 0.05. 72,407 47,314 25,093 31,907 8,815 1,500 1,964 5,351 7,526 4,442 1,461 1,623 10,923 2,727 8,196 4,643 2,846 1,797 26,361 9,007 843 1,896 2,162 1,097 1,775 1,234 13,303 2,555 10,lk8 ^,325 3,637 2,786 M51 760 1,104 2,187 9,326 2,241 7,085 896 1,956 4,233 4,811 2,437 2,37^ 1,395 979 17,962 5,519 587 593 ^339 6,4n 3,821 1,149 1,441 3,241 3,196 2,791 1,197 1,594 22,281 8,705 842 1,880 2,151 1,082 1,632 1,118 9,621 2,519 7,102 3,318 1,710 2,074 3,955 755 1,065 2,135 3,244 55 3,189 846 566 1,775 3,827 2,293 1,534 '393,9 3,297 914 1,371 1,012 1,115 622 312 181 7,682 2,682 5,000 1,852 1,649 203 4,084 304 1 17 12 16 143 115 3,683 36 3,647 1,007 1,927 713 97 5 39 53 6,082 2,186 3,896 hs 1,390 2,458 '984 144 84o 254 586 44 1 10 6 1 1 6 36 1 1 18 14 6.0 1 1 9 5 6 38.0 1 9 1 8 47 18 1 ^ 20.3 1 7.0 8 ^ 6 6 1 8 4 5 1 30 10 19 7^ 6 1 1^ 7 2 8 1 47 1 7 1 6.Q 16.0 1 7.0 35 1 18.0 3^ 1 ^ 10 8 4 6 1 4o.3 1 9 1 8 7 7.0 45 19 1-9 19 1 1 6.0 7 60 1 3 1 2 8 7.3 1 1 1 7 19 5 14 11 19.0 6 7 1 4l # 6 2 17 6 13.^ 3 1 18 3^ 14 8 6 1 5 h 59 10 l.l 1 26 7 18 8 2 h 6 1 1.3 1*U3 1 10.0 7 6 2 8 *!. 1 8.3 1.3 15.3 1 1 5 29 2 19 6 4
11 HOUSEHOLD DATA Table A-22: Persons at work in nonagricultural industries, by full-time and part-time status, hours of work, and selected characteristics Characteristics Thousands at work Percent (Percent distribution) Full or part-time status On fulltime schedules On part time Economic reasons Usually work full time Usually work part time Other reasons Usually work part time at work 1 to 34 hours Hours of work 35 to 40 hours 41 hours and Average hours, total at *ork AGE AND SEX 64,974 8 1 18 48 3 40.3 Male 14 to 17 years 18 and 19 years 20 to 24 years 25 to 34 years 35 to 44 years 45 to 64 years 65 years and over Female 14 to 17 years 18 and 19 years 20 to 24 years 25 to 34 years 35 to 44 years 45 to 64 years 65 years and over MARITAL STATUS AND SEX Male: Single Married, wife present Other Female: Single Married, husband present.. Other White Male Female Nonwhite Male Female COLOR AND SEX 41,817 1,551 1,312 4,166 8,990 9,927 1^,309 1,562 23,157 937 1,170 2,9^3 3,837 5,122 8,274 874 6,801 32,897 2,119 5,411 13,004 4,742 58,155 37,852 20,304 6,819 3,965 2,853 90 1 59.3 87 97 97 9 67 73-7 7 64 8 77 7 77 49.3 6 95 89 69 7 80 84 90.3 74 80 87 7 1 1 1 1 9 1 5 1 7 7 7 8 35 8 29 2 90 3 1 19 19 18.0 45 3 5-1 27.3 2 1 1 7 2 1 5 19 1 89 4 1 4 7 35 29 9 37.0 19 26 26 2 5 38.0 7.0 1 3 30.3 2 17 1 28 2 16 3 4 35 4 48 47 50.3 3 5 4 50 6 58.0 56.0 5 27 39 47 49 5 53-3 5 48.3 45 5 5 5 50.0 4 2 38.3 45 47 4 28 17-5 1 14 15 18.0 2 18 2 4 37 15-9 1 2 33-9 4 17 2 29 17-2 4 1 3 4 4 46 4 36 3 H 3 3 3 36 37-2 30.3 33-1 4 4 3 3 37-7 40 4 3 37 40 3 Table A-23: Persons at work, by hours of work, and class of worker Hours of work Wage and salary workers (Percent distribution) Agriculture Selfemployed workers Unpaid family workers Nonagricultural industries Wage and salary workers Private households Government Other Selfemployed workers Unpaid family workers at work...thousands Percent 1 to 34 hours 1 to 14 hours 15 to 21 hours 22 to 29 hours 30 to 34 hours 35 to 40 hours 35 to 39 hours 40 hours 41 hours and over 41 to 47 hours 48 hours 49 hours and over 49 to 54 hours 55 to 59 hours 60 to 69 hours 70 hours and over Average hours, total at work... 70,005 19.3 6 39 3 8.0 20 6 5 40 5,031 30 7 10 1 8.3 56 47 6 1 2 48 1,568 3 14 8 19 14 47-7 3 8.3 11 1 2,465 18 7.0 5-1 8 5 73-0 3-3 66 3-5 16 40 58 998 57-9 28 18 1 1 8 6 26 6 17 3-7 7 3 64,974 57,969 2,615 18 48 6 4 3 8.3 6 18.0 6 4 40.3 18 6 3-3 3-7 5 6 4 30.0 8 6 1 6 39 67 4 10 6 18.3 1 1 3-9 7 2 9,214 1 3-3 60 6 5 27.O 8 1 40 46,140 6,395 1 3-3 5 4 3 8 7 1 6 3-9 40.3 19 9 2 17 59.0 7 45 11 1 1 47 610 2 1 2 7-5 1 36 6 26 8 6 9.0
HOUSEHOLD DATA SEASONALLY ADJUSTED 12 Table A-24: Summary employment and unemployment estimates, seasonally adjusted Employment status labor force Civilian labor force Employed Agriculture Nonagricultural industries... Unemployed 78,127 75,W 71,9: 4,91 66,979 3,506 78,063 75,377 71,717 4,84 3 66,871+ 3,660 77,6^7 74,944 71,440 4,550 66,890 3,504 Feb. 77,755 75,051 71,304 4,595 66,709 3,747 (in thousands} Jan. 77,621 74,914 71,284 ^,513 66,771 3,630 Dec. 77,432 74,706 71,004 4,541 66,46: 3,702 Nov. 77,140 74,409 70,755 M71 66,084 3,654 Oct. Sept. 76,996 77,023 74,259 74,280 70,379 70,465 4,721 4,815 65,658 65,650 3,6" 3,815 Aug. 64 77,006 74,255 70,458 4,817 65,641 1 3,797 July 76,928 74,188 70,496 4,864 65,632 3,692 June 77,049 74,305 70,345 4,826 65,519 3,960 77,225 74,477 70,639 4,849 65,790 Table A-25: Seasonally adjusted rates of unemployment Selected unemployment rates (all civilian workers) Men, 20 years and over 20-24 years 25 years and over Women, 20 years and over Both sexes, 14-19 years Married men (wife present) Experienced wage and salary workers Labor force time lost 3-3 6 1 4.q 3*4 7 1 5-3 3-3 1 2-5 5-1 Feb. 5-0 3-6 6 1 5 Jan. 4 3-5 7 3-1 1 Dec. 4-7 15 Nov. 7 5-0 1 Oct. 9-1 3-4 1 2-9 5-7 Sept. 5-1 3*8 8 3-2 5-0 1 5-7 Aug. 3-7 8 3-2 1 5 July 7 1 4 5 June u8 1 6 7 15 5 Duration of unemployment Less than 5 weeks 5 to 14 weeks 15 weeks and over: Number Percent of civilian labor force Table A-26: Unemployed persons, by duration of unemployment, seasonally adjusted 1,876 1,058 696 1,858 1,027 809 1,719 966 800 Feb. 1,752 1,037 905 (In thousands) Jan. 1,663 1,032 823 Dec. 1,719 1,055 889 Nov. 1,593 1,066 932 Oct. 1,817 1,129 933 Sept. 1,806 1,094 924 Aug. 1,824 1,126 910 July 1,615 1,127 962 June 1,859 1,117 1,066 1,857 1,112 938 Employment status, age and sex Civilian labor force Men, 20 years and over Women, 20 years and over Both sexes, 14 to 19 years Employed, all industries Men, 20 years and over Women, 20 years and over Both sexes, 14 to 19 years Employed, nonagricultural industries Men, 20 years and over... Women, 20 years and over.. Both sexes, 14 to 19 years.. Unemployed Men, 20 years and over Women, 20 years and over Both sexes, 14 to 19 years... Table A-27: Employment stqtus, by age and sex, seasonally adjusted I965 75,443 45,052 23,375 7,016 71,937 43,579 22,362 5,996 66,979 40,213 21,526 5,240 3,506 1,473 1,013 1,020 75,377 44,947 23,455 6,975 71,717 43,415 22,387 5,915 66,874 40,135 21,570 5,169 3,660 1,532 1,068 1,060 74,944 44,943 23,380 6,621 71,440 43,438 22,299 5,703 66,890 40,265 21,572 5,053 3,504 1,505 1,081 918 Feb. 75,051 45,038 23,501 6,512 71,304 43,418 22,314 5,572 66,709 40,182 21,553 ^,9741 3,747 1,620 1,187 940 (In thousands) Jan 74,914 44,930 23,489 6,495 71,284 43,345 22,434 5,505 66,771 40,159 21,674 4,938 3,630 1,585 1,055 990 Dec. 74,706 44,687 23,375 6,644 71,004 43,125 22,277 5,602 66,463 39,954 21,502 5,007 3,702 1,562 1,098 1,042 Nov. 74,409 44,593 23,159 6,657 70,755 43,050 22,000 5,705 66,084 39,818 21,230 5,036 3,654 1,543 1,159 952 Oct. 74,259 44,642 23,110 6,507 70,379 42,862 21,942 5,575 65,658 39,540 21,224 4,894 3,880 1,780 1,168 932 Sept 74,280 44,617 23,058 6,605 70,465 42,901 21,904 5,660 65,650 39,542 21,161 4,947 3,815 1,716 1,154 945 Aug. 74,255 44,644 23,107 6,504 70,458 42,976 21,953 5,529 65,641 39,608 21,190 4,843 3,797 1,668 1,154 975 July 74,188 44,688 23,005 6,495 70,496 43,008 21,852 5,636 65,632 39,632 21,082 4,918 3,692 1,680 1,153 859 June 74,305 44,587 23,182 6,536 70,345 42,811 21,990 5,544 65,519 39,439 21,253 4,827 3,960 1,776 1,192 992 Table A-28: Persons at work in nonagricultural industries, by full- or part-time status, seasonally adjusted (In thousands) 74,477 44,665 23,194 6,618 70,639 43,028 22,013 5,598 65,790 39,711 21,226 4,853 3,838 1,637 1,181 1,020 Full- or part-time status On full-time schedules On part time for economic reasons.. Usually work full time Usually work part time On part time for noneconomic reasons; usually work part time 54,185 1,895 950 945 7,411 53,906 1,825 818 1,007 7,193 54,335 1,959 877 1,082 7,219 Feb. 54,147 1,997 952 1,045 7,138 Jan. 54,175 2,128 1,000 1,128 7,338 Dec. 53,682 2,132 1,044 1,088 7,351 Nov. 53,303 1,949 897 1,052 7,178 Oct. 52,495 2,098 961 1,137 7,332 Sept. 52,789 2,108 953 1,155 6,899 53,033 2,077 900 1,177 7,344 July 53,161 2,154 981 1,173 7,505 June 52,554 2,262 1,114 1,148 7,487 52,749 2,149 945 1,204 7,433
ESTABLISHMENT DATA HISTORICAL EMPLOYMENT Table B-l: Employees on nonagricultural payrolls, by industry division 1919 to date (In thousands) Year and month TOTAL Mining Contract construction Manufacturing Transportation and public utilities Wholesale and retail trade Wholesale trade Rotail# trade Finance, insurance, and real estate Service and miscellaneous Government Federal Scare and local 1919. 1920. 1921. 1922. 1923. 1921*.. 1925.. 1926.. 1927.. 1928*. 27,088 27,350 V 82 25,827 28,391* 28,01*0 28,778 29,819 29,976 30,000 1929.. 1930.. 1931. 1932.. 1933.. 1931*. 1935. 6 1937. 3*38. 1939.... 191*0 191*2.. 291*3*. 2*1*1*.. 191*5.. 191*6.. 191*7.. 191*8.. 30,618 32,376 36,551* 1*0,125 1*2,1*52 1*1,883 hp39h 191*9. *...< 1950, 1*51 3*52, 5 1954 1955 1956 1959 i960 If9f 1962 1963 196I+: June. July... August.. Septembe: October. November December : January. February March..., April...,, hp,39h 1*1,671* 1*3,881 l*l*,891 1*3,778 1*5,222 1*7,81*9 1*8,825 50,232 1*9,022 50,675 52,408 52,8 51,368 53,297,203 53,989 55,515 56,61*3 58,188 57,871* 58,596 58,Ul8 58,680 59,258 59,164 59,441 59,938 58,271 58,398 58,847 59,547 6o,Ol4 1,133 1,239 962 929 1,212 1,101 1,089 1,185 1,111* 1,050 1,087 1,009 873 731 710* 883 897 91*6 1,015 891 957 992 925 892 836 862 9$$ 991* 930 901 929 898 866 791 792 822 826 751 732 712 672 650 635 635 63I* 651 646 647 645 644 643 635 619 616 615 623 630 1,0a 81*8 1,012 1,185 1,229 1,321 1,1*1*6 1,555 1,608 1,606 1,1*97 1,372 1,221* 970 809 862 912 1,31*5 1,112 1,055 1,250 1,291* 1*790 2,170 1,567 1,091* 1,132 1,661 1,982 2,269 2,165 2,333 2,603 2,631* 2,623 2,622 2,602 2,999-2,923 2,778 2*816 2,902 2,963 3,106 3,130 3,308 3,424 3,482 3,391 3,376 3,273 3,053 2,837 2,756 2,865 3,022 3,256 10,659 10,658 8,257 9,120 10,300 9,671 9,93? 10,156 10,001 9,91*7 10,702 9562 8,170 6,931 7,397 8,501 9,069 9,827 10,791* 9,1*1*0 10,278 10,985 13,192 25,280 17,602 17,328 35,524 2',582 H*,lil*l 15,21*1 16,393 16,632 17,51*9 16,314 16,882 17,24: 17,17 15, 16,675 16,796 16,326 16,853 17,005 17,303 17,135 17,350 17,299 17,498 17,792 17,428 17,638 17,601 17,456 17,538 17,643 17,729 17,800 3,711 3,998 3,1*59 3,505 3,882 3,807 3^826 3,91*2 3,895 3,828 3,916 2^816 2,672 2,750 2,7*6 2,973 3,131* 2,863 2,936 3,038 3,271* 3,1*60 3,61*7 3,829 3,906 l*,06l 1*,166 1*,189 l*,001 1*031* 1*,226 l*,2l*8 l*,290 4,084 4,i4i k,2^ 4,241 3,976 4,011 4joo4 3,903 3,906 3,914 3,976 3,952 4,005 4,031 4,043 4,045 4,028 4,013 4,024 3,880 3,933 3,985 4,005 4,043 h 9 $Q9 l*,9o3 5,290 5,1*07 5,576 5,784 5,908 5,871* 6,123 5797 5284 4,683 1*,755 5,281 51*31 5,809 6)265 6,179 6,1*26 6*,75o 7,210 7,118 6,982 7,058 7,314 8,376 8,955 9,272 9,261* 9,386 9,71*2 10,001* 10,21*7 10,23! 10,535 ior~, 10,1 10,750 11,127 11,391 11,337 11,566 11,803 12,188 12,031 12,180 12,173 12,201 12,243 12,341 L2,5l8 L3,l66 12,275 12,209 12,26; 12,522 25 1,681* 1,751* 1,873 1,821 lju 1,762 1,862 2,190 2,361 2,1*89 2,1*87 2518 2,606 2,687 2,727 2,739 2,796 2,884 2,9*6 3,004 2,993 3,056 3,119 3,220 3,170 3,211 3,245 3,266 3,258 3,269 3,272 3,298 3,254 3,252 3,260 3,274 3,290 l*,7l*2 i*,996 5,338 \& 6,186 6,595 6,783 6,778 6^868 7,136 7,317 7,520 7,7 7,974 7,992 7,902 8,182 8,388 8,344 8,511 8,685 8,969 8,861 8,969 8,928 8,935 8,985 9,072 9,21*6 9,868 9,021 8,957 9,002 9,248 9,223 1,22JL 1,175 1,163 1,11*1* 1,190 1,231 1,233 1,305 1,367 1,1*35 US 1,1*07 1,31*1 1,295 1,31? 1,335 1,388 1,1*32 1,1*25 1,1*62 1,502 1,51*9 1,538 1,502 1,1*76 1,1*97 1,697 1,751* 1,829 1,857 1,91* 1,991 2,069 2,21*6 2,234 2,335 2,1*29 2,1*77 2,519 2,594 2,669 2,731 2,800 2 $ 2,931 2,964 2,998 2,998 2,972 2,961 2,958 2,957 2,949 2,960 2,973 2,986 3,ooi 2,263 2,362 2,1*12 2,503 2,681* 2,782 2,869 3,01*6 3,168 3,265 3,1*1*0 3,376 3,183 2,931 2,873 ye 3,326 3,518 3,1*73 2S l*,2l*8 1*,263 l*,2l*l 1*,719 5,050 5,206 5,261* 5,382 5^576 5,730 5,867 6,002 6,274 7,115 7,392 7,610 7,947 8,230 8J533 8,5^ 8,654 8,698 8,676 8,661 8,676 8,608 8,585 8,515 8,564 8,623 8,755 \86 2,676 2,603 2,528 2,538 2,607 2,720 2,800 2,81*6 2,915 2,995 3,065 3,31*8 3,261* 3,225 3,166 3,299 31*81 3,668 3,756 3,883,995,202 l*,66o 5,1*83 6,080 6,01*3 $9hk 5,1*71* 5,650 5,856 6,026 6,389 6,609 6)61*5 6,751 6,914 7,277 7,616 7,839 8,083 8,353 8,594 8,890 9,199 9,502 9,513 9,1*84 9,149 9,135 9,509 9,710 9,790 9,917 9,7*O 9,822 9,881 9,905 9,915 2,332 2,344 2,355 2,356 2,320 2,329 2,352 2,1*82 2,323 2,319 2,326 2,337 2,337 2,532 2,622 2,701* 2,666 2,601 2,61*7 2,728 2,81*2 2,923 3,052* 3,206 3,320 3,270 3,171* 3,116 3,137 3,3U1 3,582 3,787 3,91*8 l*,o98 l*,o87 1*,188 l*,3l 0 4,563 4,727 5,069 5, 5, 5,850 6,083 6,315 ; 7,155 7,181 7,1*0 6,79i* 6,779 7,189 7,381 7,438 7,435 7,417 7,503 7,555 7,568 7,578 NOTE: Data include Alaska and Hawaii beginning 1959- This inclusion has resulted in an increase of 212,000 (0 percent) in the nonagricultui March 1959 benchmark month. Data for the 2 most recent months are preliminary.
ESTABLISHMENT DATA 11* EMPLOYMENT Table B-2: Employees on nonagricultural payrolls, by industry (In thousands) Industry All employees Production workers 1 TOTAL 60,014 59,547 58,847 57,874 57,329 MINING 630 623 615 634 627 487 480 497 490 METAL MINING Iron ores Copper ores 8 28 29 8 27 29.3 8 27 28 8 26 28 70 24. 24. 70. 2 24 70 2 2 69.0 2 2 COAL MINING Bituminous 140 130 139 130 14 130 14 13 123. 11 12 114. 12 11 126 11 CRUDE PETROLEUM AND NATURAL GAS... Crude petroleum and natural gas fields Oil and gas field services 279 156.0 12 278 155 12 28 160 12 28 160 12 194. 87 107. 195. 87. 107.. 199 9 108.3 198.0 9 10 QUARRYING AND NONMETALLIC MINING... 119.0 11 12 117. 98 91 10 97 CONTRACT CONSTRUCTION 3,256 3,022 2,865 3,130 2,921 2,547 2,395 2,670 2,467 GENERAL BUILDING CONTRACTORS 9 908.0 97 910 79 76 839 776 HEAVY CONSTRUCTION Highway and street construction 560 276.0 284 48 22 260 64 346 296 55 278 27 480 240 239 404 189 21 560 31 248 47 24 228 Other heavy construction 1,519 1,47 1,511 1,45 1,269 1,227.0 1,270 1,217 SPECIAL TRADE CONTRACTORS 17,800 17,729 17,643 17,135 17,058 13,241 13,175 13,108 12,666 12,592 MANUFACTURING DURABLE GOODS NONDURABLE GOODS 10,322 7,478 10,269 7,460 10,162 7,481 9,798 7,337 9,756 7,302 7,665 5,576 7,616 5,559 7,523 5,585 7,201 5,465 7,160 5,432 Durable Goods ORDNANCE AND ACCESSORIES Ammunition, except for small arms Sighting and fire control equipment Other ordnance and accessories 24 18 46 240 18 1 4 241 18 11 46 26 200 1 49.3 266 20 1 50 99 6 30 99 6 30 99 64 30 107 69 3 109 69 3 LUMBER AND WOOD PRODUCTS, EXCEPT FURNITURE Logging camps and logging contractors Sawmills and planing mills Sawmills and planing mills, general Millwork, plywood, and related products Millwork Veneer and plywood Wooden containers Wooden boxes, shook, and crates Miscellaneous wood products 600 86 25 15 36 67 58 78.0 250.0 21 15 66 69 36 28 67.3 57 7 247 21 150 66 69 35 27 67 597.3 8 25 220 15 69.3 67 37 28.3 6 58 78 251 216 15 68 68 36 27 6 53 80 23 128 3 58 518 7 228 19 127.3 5 6 3 2 58 510 68.3 226 19 126 5 6 3 2 57 53 80 23 20 129 5 6 3 2 55 518 7 228 196 128 56.0 6 3 24 56.0 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.
15 ESTABLISHMENT DATA EMPLOYMENT Table B-2: Employees on nonagricultural payrolls, by industry Continued (In thousands) Industry All employees Production workers' Durable Goods Continued FURNITURE AND FIXTURES Household furniture Wood house furniture, unupholstered Wood house furniture, upholstered Mattresses and bedsprings. Office furniture Partitions; office and store fixtures Other furniture and fixtures 417 306 4 419 307 160.3 77.0 3 27 39 44 416 306 159.3 76 3 27 38 4 39 287 148.0 71 3 2 36 4 394 288 148 7 3 26 36 4 347 26 3 348 26 14 6 27.3 2 29 3 346 26 14 6 27 2 28 3 32 246.0 131 60 26 19.3 26 3 327 247.0 13 60 25 20 26 3 STONE, CLAY, AND GLASS PRODUCTS Flat glass Glass and glassware, pressed or blown Glass containers - Pressed and blown glassware, n.e.c Cement, hydraulic Structural clay products Brick and structural clay tile Pottery and related products Concrete, gypsum, and plaster products Other stone and mineral products Abrasive products 628 118.0 39.0 68 179.0 126 618 3 117.0 6 5 38 67 29 4 170 128.3 2 60 3 11 6 5 36 6 28.3 4 160 127 2 618 3 11 6 50 39 68 30 4 174 126 2 606 30 11 6 5 37 67 29 4 167 12 2 508 10 30 58 14 95 498 26 10 5 46.0 29 57 2 36 13 96 16.0 48 27 100 5 4 28 5 2 3 12 96 16.0 499 2 100 56 4 30 58 2 36 137.3 9 1 487 2 98.3 34 4 29 57.3 26 3 130.3 9 14 PRIMARY METAL INDUSTRIES Blast furnace and basic steel products Blast furnaces, steel and rolling mills Iron and steel foundries Gray iron foundries Malleable iron foundries Steel foundries Nonferrous smelting and refining. Nonferrous rolling, drawing, and extruding Copper rolling, drawing, and extruding Aluminum rolling, drawing, and extruding Nonferrous wire drawing and insulating Nonferrous foundries Aluminum castings Other nonferrous castings Miscellaneous primary metal industries Iron and steel forgings,28 66 22 7 188 7 6 1,29 669 59 22 13 26 64 7 187 45 59 6 7 37 38 6 4 1,284 66 587 22 13 26 6 7 189 45 6 6 76 37 38 6 4 1,220 620.3 549 21 125 24 60 70 185 46 6 59 7 37 36 59 4 1,209 610 539 209.3 124 2 59 70.0 186 47.3 6 59 7 37 36 59 4 1,05 54 19 56 14 6 50 1,060.0 55 49 19 117 2 5 5 14 35 4 49 6 3 3 50.3 3 1,05 54 487 190.3 11 2 5 5 14 35 47 49 6 3 3 50 3 994 508 45 18 108 2 5 5 141 3 47.0 4 6 3 29 47.0 3 98 499 44 179 107 2 50 5 14 36 47.0 4 6 3 29 47.3 3 FABRICATED METAL PRODUCTS Metal cans Cutlery, hand tools, and general hardware Cutlery and hand tools, including saws Hardware, n.e.c Heating equipment and plumbing fixtures Sanitary ware and plumbers' brass goods Heating equipment, except electric Fabricated structural metal products Fabricated structural steel Metal doors, sash, frames, and trim Fabricated plate work (boiler shops) Sheet metal work Architectural and miscellaneous metal work Screw machine products, bolts, etc Screw machine products Bolts, nuts, screws, rivets, and washers Metal stampings Coating, engraving, and allied services Miscellaneous fabricated wire products Miscellaneous fabricated metal products Valves, pipe, and pipe fittings,26 64 157 77 366 9 22 79.0 6 137 1,25 64 15 58 96 76 3 40 358 97 6 9 6 39 9 40 5 22 78 6 136 8 1,220 3 156 58 98.0 77 36 4 358 97 6 9 64 39.3 9 40 5 22 78 6 136 80 1,18 6 14 5 89.3 78 3 4 346 9 6 88 60 37 90.3 38 51 20 7 57 130.0 77 1,180 6 14 5 89 79 3 4 34 95 6 88.0 60.0 3 90 38 51 20 7 57 129 7 977 5 12 57 26 7 18 66 50 10 97 5 12 4 7 57.3 29.3 28.0 257 71 46 6 47 28 75 3 40 18 66 5 10 59.3 940 25 12 46 78.0 58.3 29 28 256 71 44 6 47 28.0 7 3 40 18 66 50 10 58 910 5 11 4 70.3 59.3 28 30 24 71 4 58 44 26 70 3 38 164 6 46 96 55 90 5 11 4 70 60 29 3 24 70 4 57 4 2 70 3 38 16 61 46 9 5 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary. 77Z-676 O-65 3
ESTABLISHMENT DATA EMPLOYMENT 16 Table B-2: Employees on nonagricultural payrolls, by industry Continued Industry (In thousands) All employees Liar. 1064 ifay 1065 Production workers' my Durable Goods--Continued MACHINERY Engines and turbines Steam engines and turbines Internal combustion engines, n.e.c Farm machinery and equipment Construction and related machinery Construction and mining machinery Oil field machinery and equipment Conveyors, hoists, and industrial cranes Metalworking machinery and equipment Machine tools, metal cutting types Special dies, tools, jigs, and fixtures Machine tool accessories Miscellaneous metalworking machinery Special industry machinery Food products machinery Textile machinery General industrial machinery Pumps; air and gas compressors Ball and roller bearings Mechanical power transmission goods.... v J i i l C C } C O I T l p U C l I a f t j 2 D O flccoufltlflf f D f t C o l f l C S Computing machines and cash registers Service industry machines.. Refrigeration, except home refrigerators Miscellaneous machinery. ELECTRICAL EQUIPMENT AND SUPPLIES Electric distribution equipment Electric measuring instruments. Switchgear and switchboard apparatus Electrical industrial apparatus Motors and generators. Industrial controls Household appliances. Household refrigerators and freezers Household laundry equipment Electric housewares and fans..... Electric lighting and wiring equipment Electric lamps Lighting fixtures Wiring devices Radio and TV receiving sets Communication equipment Telephone and telegraph apparatus Radio and TV communication equipment Electronic components and accessories.. Electron tubes Electronic components, n.e.c Miscellaneous electrical equipment and supplies.... Electrical equipment for engines. TRANSPORTATION EQUIPMENT Motor vehicles and equipment Motor vehicles Passenger car bodies Truck and bus bodies Motor vehicle parts and accessories Aircraft and parts Aircraft Aircraft engines and engine parts Other aircraft parts and equipment Ship and boat building and repairing Ship building and repairing Boat building and repairing Railroad equipment Other transportation equipment,707 87.3 24 30 18 26 179 11 200 1,63 179.3 199 16 I63.I 12 413-9 291 97.,75 88 599.0 16 1,705 88 3 56.0 24 13 36 3 304 76 10 51 71 18 38.0 41 26 7 51^3 179 13 111 70 199 1,62 177 58 4 7 197 107.3 5 16 55 2 3 16 3 58 7 119 41 12 290 288 68 220 97 5 1,74 875 368 7 36.0 37 597 31 18 99 16 13 29 57 5 1,697.0 89 3 56 134 24 13 36 3 300.3 7 10 49 7 18 37 41 26 7 57 50 177 131 110.0 68 199 1,61 17 58 46 7 19 107.0 5 16 5 2 36 16 3 59 7 119 41 12 29 28 67 216 97 5 L,730.3 868 367 7 3 371 59 31 18 98 156 128 28.0 57 50 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary. 1,607 8 3 5 12 23 128 3 3 288 69 101 46 68 17 36 38 248.3 69.3 5 47 16 119 105 6 18 1,51 170.3 56.0 4 70 18 99 49.0 156 50 2 3 15 30 5 68 10 400 109.3 29 258 65.O 19 9 5 1,639 788 320 6 3 348.0 60 315 189 98 14 117.0 27.3 5 50 1,603. 85. 32, 52, 127, 229, 127. 34. 31. 101, 48, 68, 174, 36, 38, 247, 69. 55-47. 163, 119. 104, 65. 184, 1,518 168 56.0 4 69 180 157 # 5 2 3 151 30 5 68 10 4o 107 296 257 6 19 9 5 1,64 788 32 6 3 347 61 320 190 99.3 14 H 26 5 46 1,196 58 167 230.3 126 176 10 79 15 1,118 120 139 130 127 96 209 219 7 1,259.3 69 339 136 1,196 60.0 18 4 98 166 9 2 2 230 5 86 38 5 126 2 3 176 4 4 38.3 10 7 78 49 15 1,108 H9 38 31 49 137 75 3 128 4 19 27 127 28.0 4 5 9 210 85 12 217 47.0 170 74 4 1,246 686 276 59.0 29 30 338 170 10 66 13 110 2 44 4 1,190 60 18 4 99 167 9 2 2 226 5 8 36 5 126 24 3 17 4 4 38.O 10 71 76 48.3 15 1,099 118.3 37 3 47 136 76.O 3 129.O 4 19.0 28 126 27 45 5 9 208 8 12 21 46 166 7 4 1,236 68 276 59 28 30 33 169 10 6 13 107 2 4 4 1,12 57 18 39 9 158 9 2 2 217.3 48 8 3 49 119 2 29 165 39 4 35 9 6 7 45 14 1,010 11 36 30 47 12 69 3 120 39 17 25 118 2 4i.o 50 78.0 19 7 12 188 4 14 70.3 39 1,15 61 237.0 50 28 279 337 17 99 6 12 98 2 4 4 1,118.0 57 18.3 38 9 156 90 2 20 216 48 8 3 49 119 2 29 164 39 4 3 9 6 7 4 14 1,01 11 36.0 30 46 12 68 3 12 4 17-3 2 118 2 4i.o 50 78 199 7 128 188 4 14 70 40 1,157 61 238 50 28 278 34 178.3 100 6 119 97 2 40 40
17 ESTABLISHMENT DATA EMPLOYMENT Table B-2: Employees on nonagricultural payrolls, by industry Continued (In thousands) Industry All employees Production workers 1 live. 19614-61 19614. Durable Goods-Continued INSTRUMENTS AND RELATED PRODUCTS... Engineering and scientific instruments.., Mechanical measuring and control devices. Mechanical measuring devices Automatic temperature controls... Optical and ophthalmic goods Surgical, medical, and dental equipment., Photographic equipment and supplies..., Watches and clocks MISCELLANEOUS MANUFACTURING INDUSTRIES Jewelry, silverware, and plated ware Toys, amusement, and sporting goods Toys, games, dolls, and play vehicles... Sporting and athletic goods, n.e.c Pens, pencils, office, and art materials Costume jewelry, buttons, and notions Other manufacturing industries 37 98 48.0 56 78 41 46 165 377 67 97 59 37 47 56 78 28 4n I16 11 7 4 3 5 166 376 67 98 6o 37 47 5 78.0 28 40 1*6.0 107 67.I 32^ 5 16 36 67 9 59 35 4 5 7 28 39 4 10 6 4l.o 30 5 158 365 68 95 59 36.0 44 5 7 28 386 4 99 59-5 4o.3 30 5 158.0 239.0 64 3 39.0 4 330 36 130.0 239 3 6 37 26 3 39 4 2 328 36 9 60 3 2 4 130 239 3 6 37 26 3 38 4 2 32 36.0 88.3 55>5 3 2 4 129 230.3 3 6 37.0 2 3 37 4 2 31 3 86 5 3 2 4 12 23 3 6 37 2 3 37.3 4 2 307 3 8 49 3 2 4 12 Nondurable Goods FOOD AND KINDRED PRODUCTS Meat products Meat packing Sausages and other prepared meats Poultry dressing and packing Dairy products Ice cream and frozen desserts Fluid milk Canned and preserved food, except meats Canned, cured, and frozen.sea foods Canned food, except sea foods Frozen food, except sea foods Grain mill products Flour and other grain mill products Prepared feeds for animals and fowls Bakery products Bread, cake, and perishable products Biscuit, crackers, and pretzels Sugar Confectionery and related products Candy and other confectionery products Beverages Malt liquors Bottled and canned soft drinks Miscellaneous food and kindred products TOBACCO MANUFACTURES Cigarettes Cigars. TEXTILE MILL PRODUCTS Cotton broad woven fabrics Silk and synthetic broad woven fabrics Weaving and finishing broad woolens Narrow fabrics and small wares Knitting Full-fashioned hosiery Seamless hosiery. Knit outerwear Knit underwear Finishing textiles, except wool and knit Floor covering Yarn and thread Miscellaneous textile goods,648 300 286.0 12 28 69.O 220 138 7 921 23 86 4 30 23 77 109 69.I 1,63 297 190 4 6 28 29 201 198.0 35 9 4 12 3 5 279 238 4i.o 3 70.3 57 21 60 116 138 7 37 2 920 23 87 46.0 30 229 1 8 7 3 78 38 109 69 1,6140.3 299 192.O 4 6 279 29.O 200 197 37 9 4 12 3 5 28 238 4 31 7 6 21 60 11 139 76 37 2 915 23 87.3 45 30.3 226 1 8 70 3 78 38 IO8 68 1,668 307 194 4 67 289 3 205 20 39.0 98 4o 127 3 58 286 244 4 3 70 56 21 60 114 138 7 37.0 24 89 227 8 1*8 28 218 1 8 67 31 76 36 10 66 1,65 30 19 4 65.O 28 30 204 200 38 94 4 124 3 5 28 24 4 3 70 56.0 21 6 11 139.0 76 37 2 89 228.0 8 14 28 21 1 8 6 3 76 37 10 67 1,06 236 136 85.O 16 5 11 89 6 82 21 78.3 40 26 207 66 101 577 1,05 234 11*6.0 3 5 13 1 78 159.0 30 71 38 8 20 3 161 127.3 3 2 56.0 U6 109 39 4 90.3 6 3 20 821 21 78 40.3 27.I 20 1 77 6 30 66 31 10 57 1,059 23 147 3 57 131 1 78 159 3 7 36 8 2 34 161 12 3 2 60 50 109 I4O 4 9 65 3 2 817 21 78 14O.0 26 20 1 77 61 29 66 3 100 56 1,08 24 151 3 6 ll*0.3 17 8 16 3 77 3 89.O 2 39 164 129 3 2 56 4 109 1*0 4 90 6 30 2 800.3 209 78.3 4 2 19 1 76 59.0 28 65 30.3 97.0 5 1,069 240 149 3 58 137.3 1 8 16 3 7 37 8 2 36 16 126 3 2 5 4 108 4 4i.O 9 65 3 2 798.0 210 78 4 2 19 1 75 57.0 28 6 30 9 5 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.
ESTABLISHMENT DATA EMPLOYMENT 18 Table B-2: Employees on nonagricultural payrolls, by industry Continued Industry (In thousands) AII employees Production workers 1 Nondurable Goods-Continued APPAREL AND RELATED PRODUCTS Men's and boys' suits and coats Men's and boys' furnishings. Men's and boys' shirts and nightwear Men's and boys' separate trousers Work clothing Women's, misses', and juniors' outerwear Women's blouses, waists, and shirts Women's suits, skirts, and coats Women's and misses' outerwear, n.e.c Women's and children's undergarments Women's and children's underwear Corsets and allied garments Hats, caps, and millinery Girls' and children's outerwear Children's dresses, blouses, and shirts Fur goods and miscellaneous apparel Miscellaneous fabricated textile products Housefurnishings,339 115 357 39 120 80 16 1,338 115 35 127 69 8 397 5 20 67.3 7 120 7 4 3 76.0 34 76 166 56 1,36 116 35 126 69.0 80 41 5 199 87.0 7 12 78.0 4 3 8 35 76 16 57.3 1,285 11 33 12 65 77 387 50.3 196 7 68 116 76 40 28 78 3 7 15 54 1,280 109 330 120.3 6 77.0 39 5 206 6 69 116 7 40 29 7 3 7 155 56 1,19 10 32 35 10 7 138 1,19 10 32 11 65 7 355 48 18 59 65 106 69 36 28.3 67 3 6 140.3 47 1,214 10 319.3 11 6 7 37 48 179.3 78 66 106 70 3 3 7 3 66 140 48 1,14 10 30 109 61 69 34 46.0 175 6 60.3 10 70.0 3 2 70 31 6 130.0 46.0 1,137 98.0 300.0 109.0 61 69 349 47 18 56 6 10 70.0 3 25 67 31 6 129 47 PAPER AND ALLIED PRODUCTS Paper and pulp Paperboard Converted paper and paperboard products Bags, except textile bags Paperboard containers and boxes Folding and setup paperboard boxes Corrugated and solid fiber boxes 637 217 6 15 198 63 216 6 15 3 198 66 86 63 21 66 15 36 196 66 8 625 217.0 65 15 35 19 6 8 62 217.0 65 150 35 19 6 8 497 17 5 114 157 497 17 5 11 28 157 5 6 49 17 5 11 28 155 54 67 489 17 5 11 28.3 15 5 6 487 17 5 11 28 15 5 6 PRINTING, PUBLISHING, AND ALLIED INDUSTRIES Newspaper publishing and printing Periodical publishing and printing Books Commercial printing Commercial printing, except lithographic Commercial printing, lithographic Bookbinding and related industries Other publishing and printing industries 967 34 310.3 5 117 970 344 67 77 310 205 9 5 117.0 968 34 67 77 310.3 206 9 5 116 947 337 66 7 30 20 90.0 50 11 94 336 67.3 7 30 20 90 50 11 615 17 24 4 8 61 17 2 48 24 16 70 4 8 61 17 2 48.0 24 16 70 4 8 600 17 25 46 236 159 68 40 79 598 170 26 46 236 158 69 40 79.0 CHEMICALS AND ALLIED PRODUCTS Industrial chemicals. Plastics and synthetics, except glass Plastics and synthetics, except fibers Synthetic fibers. Drugs Pharmaceutical preparations Soap, cleaners, and toilet goods Soap and detergents Toilet preparations Paints, varnishes, and allied products Agricultural chemicals Fertilizers, complete and mixing only Other chemical products 899 28 199.0 11 98.3 65 60 80 900 28 195 8 96 11 8 98 3 3 66.0 6 49 79 891 28 196 86 95 11 8 98.3 3 3 6 5 4 79 879.3 28 18 8 86 11 8 95 3 3 6 60 4 79 878 284 18 8 86 11 8 9 3 3 6 61 48 78 546.0 16 134 59 60 36 4 50.0 547 16 13 5 69.3 59 4 60 2 2 37.0 4 37 49 540 16 13 5 68 59 4 60 2 2 36 38 3 49.3 53 16 12 5 6 59 4 58 2 19 37.0 4 3 49 53 16 12 5 60 59 4 58 2 19 36 4 36 49 PETROLEUM REFINING AND RELATED INDUSTRIES Petroleum refining. Other petroleum and coal products 18 148 3 18 148.3 3 18 148.3 3 187 15 3 186 15 3 11 88 2 11 88 2 111 88 2 11 9 2 115 9 2 RUBBER AND MISCELLANEOUS PLASTIC PRODUCTS Tires and inner tubes Other rubber products Miscellaneous plastic products 45 100 171 18 45 99 17 180.0 449 99 17 178 425 97 16 16 421 97.3 16 16 35 7 13 14 35 7 135 14 349 7 13 14 328 69 127 130 32 69 127.0 127 LEATHER AND LEATHER PRODUCTS Leather tanning and finishing Footwear, except rubber Other leather products 35 3 237 85 350 31 237 8 36 3 24 87 346 31 23 8 34 3 230.3 8 31 27.0 21 7 308.3 27 21 69 317 27 21 7 30 27 207 69 30 27 20 70 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.
Table B-2: Employees on nonagricultural payrolls, by industry Continued ESTABLISHMENT DATA EMPLOYMENT (Io thousands) All employees Production workers! TRANSPORTATION AND PUBLIC UTILITIES. 4,043 4,005 3,985 3,952 3,924 RAILROAD TRANSPORTATION Class I railroads 2... 73 637 730.3 63 760 670.3 758 667 LOCAL AND INTERURBAN PASSENGER TRANSIT Local and suburban transportation Tazicabs Intercity and rural bus lines 279 8 110 40 280 86 11 40 278 87 109 4 277 86. 11 41.( 8 37.3 81 36 8 39 8 37 MOTOR FREIGHT TRANSPORTATION AND STORAGE 955 950 928 914.C 86 861 839 82 AIR TRANSPORTATION Air transportation, common carriers 22 20 22 20 209 189 207 187 PIPELINE TRANSPORTATION OTHER TRANSPORTATION. 19 31 19 31 20 307 20 30 16 1 16 17.0 COMMUNICATION Telephone communication Telegraph communication 3... Radio and television broadcasting. 868 72 30 109 86 717 30 108 838 697 3 10 83 69 3 10 576 2 88 57 21 88 559 2 8 557 2 8 ELECTRIC, GAS, AND SANITARY SERVICES Electric companies and systems.... Gas companies and systems Combined utility systems Water, steam, and sanitary systems.. 610 249.0 150 17 37 607 247 150.0 17 37.0 609 246 15 17 37 607 245 15 17 37 53 21 13 15 3 528 209 13 15 3 530 209 13 154 3 528 208 13 15 3 WHOLESALE AND RETAIL TRADE 4 12,513 12,522 12,262 12,031 11,919 9,458 9,247 9,053 8,974 WHOLESALE TRADE Motor vehicles and automotive equipment Drugs, chemicals, and allied products Dry goods and apparel Groceries and related products Electrical goods Hardware, plumbing, and heating goods Machinery, equipment, and supplies 3,290 3,274 246 19 138 51 249 147 580 3,260 245 19 137 51 24 147 57 3,170 240 190.0 13 499 235 14 55 3,161 239 190 13 497 235 144 554 2,780 206 160.3 11 450 208 12 49 2,769 206.0 160.0 11 450.3 20 12 48 2,700 20 15 11 440 199 12 470 2,691 201 157 110.0 438 197 12 470 RETAIL TRADE 4 9,223 9,248 9,002 8,861 8,758 6,678 6,478 6,353 6,283 GENERAL MERCHANDISE STORES. Department stores Limited price variety stores. 1,800 1,10 31 1,72 1,059 295 1,68 1,027.0 299 1,65 1,014 29 1,648 1,01 29 1,57 968 274 1,53 938 275 1,508 92 270 FOOD STORES Grocery, meat, and vegetable stores 1,470 1,290 1,46 1,29 1,408.0 1,239 1,410 1,24 1,366 1,197 1,359 1,199 1,31 1,15 1,31 1,15 APPAREL AND ACCESSORIES STORES Men's and boys' apparel stores. Women's ready-to-wear stores. Family clothing stores Shoe stores 69 108 250 10 14 618 10 23 97 11 62 99 234 9 12 609.3 98 230 9 11 626 98.0 227 97 125 55 9 209 90 97 56 89 21 88 106 548 88 209 86 100 FURNITURE AND APPLIANCE STORES. 407 406 39 39 36 359 349.0 348 EATING AND DRINKING PLACES... 1,847 1,807.3 1,819 1,788 OTHER RETAIL TRADE Motor vehicle dealers Other vehicle and accessory dealers Drug stores 3,029 72 17 40 2,984 72 169 400 2,93 69 166.0 38 2,899.3 69 16 381 2,676 628 150 368 2,63 624 14 366 2,596 600 14 35 2,564 599 140 35 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.
ESTABLISHMENT DATA EMPLOYMENT TobU i-2: Employes on nonogriculturol pay relit, by industry Continued (Io thousands) Industry, employee Production workers* FINANCE, INSURANCE, AND REAL ESTATE 3,001 2,986 2,973 2,931 2,919 Banking Credit ag encica other than banks Saving a and loan aaaociatiooa Pcraonal credit inatitutions Security dealer* and exchanges* Insurance camera 9 Life insurance* Accident and health insurance* Fire, marine, and casualty insurance 9... Insurance agents, brokers, and services.... Real estate Operative builders Other finance, insurance, and real estate... 77 330 95 177 128 888 470 5 317 230 55 4 80 770 329 9 176 128.0 887 469 5 316 229 548 40 80 755 314 9 164 126 88 467 54 31 22 55 4 78.3 75 31 9 16 126 880 468 54 31 22 54 4 77 645 11 626 27 47 270.3 64 11 627.0 270 46 270 63 11 63 278 46 269 635 11 63 279 46 268 SERVICES AND MISCELLANEOUS 8,856 8,755 8,623 8,548 8,453 Hotel snd lodging places. Hotels, tourist courts, and motels Personal aenricea: Laundries, cleaning and dyeing plants.... Miscellaneous business services: Advertising Motion pictures Motion picture filming and distributing.... Motion picture theater a and services Medicsl services: Hospitals. 62 57 54 11 17 41 130 1,398 60 555 53 11 167.0 4 12 1,39 62 570 539 109 17 40.0 13 1,346 60 55 53 109.3 170 38 13 1,346 53 48 2 516 478» 27 534 480 25 516.0 47 2 GOVERNMENT 9,915 9,905 9,881 9,513 9,508 FEDERAL GOVERNMENT* 2,337 2,337 2,326 2,332 2,334 Executive Department of Defense Post Office Department, Other ngencies Legialative Judicial 2,30 92 59 786 2 2,294 920 59 781 2 5 2,30 93 58 78 24 5 2,30 937 58 780.3 2 5 STATE AND LOCAL GOVERNMENT. State government State education Other State government Local government Local education Other local government 7,578 7,568 1,95 686 1,266 5,614 3,166 2,448.3 7,555 1,94 68 1,259 5,610 3,169 2,440 7,181 1,84 62 1,22 5,336 2,93 2,40 7,174 1,836 617 1,219.0 5,337 2,94 2,39 'For mining and manufacturing, data refer to production and related workers; for contract construction, to construction workers; and for all other industries, to nonsupervisory workers. 'Beginning January, data relate to railroads with operating revenues of $5,000,000 or more. 3 Data for nonsupervisory workers exclude messengers. 4 Data for nonsupervisory workers exclude eating and drinking places. 8 Data for nonoffice salesmen excluded from nonsupervisory count. Prepared by the U.S. Civil Service Commission. Data relate to civilian employment only and exclude Central Intelligence and National Security Agencies. NOTE: Data for the 2 most recent months are preliminary.
21 ESTABLISHMENT DATA SEASONALLY ADJUSTED EMPLOYMENT Table B-4: Indexes of employment on nonagricultural payrolls, by industry division, 1919 to date, monthly data seasonally adjusted 1957-59=100 Year and month Mining Contract construction Manufacturing Transportation and public utilities Wholesale and retail trade Wholesale trade Retail trade Finance, insurance, and real estate Service and miscellaneous State and local 1919.. 1920.. 1921.. 1922.. 1923.. 192*. 1925. 1926. 1929. 1930. 1931. 1932. 1933. 1934. 1935. 1936. 1937. 1938., 1939. 19*0. 19*1. 19*2. 19*3. 1944. 19*5-1946. 19*7. 1948. 19*9. 1950. 1951. 1952. 1953. 195*. 1955. 1956. 1957-1958., 1959 i960 1961 1962 1963 :.. June. July.. August.. September, October.. November. December. : January.. February. March... April... 5 5 164 9 54 53.* 54 5 57 57 59 56.0 50 4 4 49 51 55 59 5 58.3 6 69 76 80 79 76 79.3 8 8 8 86 9 9 9 93-3 96 99 100 97 101 10 10 105 107 110 110.3 110 110 11 11 11 11 11 11 11 11 114 11 147 160 12 120 157.* 14 i4l 15 14 136 1* 13 11 96 11 116 12 131 115 110 120 12 128 120 115 108 11 12 129 120 117.0 120 116 11 10 10 10 107 97 9 9 87.3 8 8 8 8 8 83.O 8 8 8 83.O 8 8 8 8 8 8 35 29 3 4 4 45 50 5 55 5 5 47 4 3 28.0 29 3 39 38 36 39 44 6 7 5 37 39 57 68 7 7 80 90 9 90 90 97 10 10 96 10 99 97 100 10 107 107 107 107. b 107 106 107 109 11 11 11 11 110 11 6 6 79 6 i 58.3 59 6 60.3 59 6 57 49 4 5 5 59 6 56 6 66 79 9 106.0 10 9 88 9 9 87.O 91 98 100 105 98.3 10 10 10 96 100 10 98.* 101 10 10 10 104 10 10 10 10 10 106 106 107 107 107 107 9 98 6 86.0 9 9 9 96 9 9 96 90 79 69.I 6 67 68 7 76 70 7 7 80.3 8 89 9 95 99 10 10 98 99.0 10 10 10 100 10 104 io4.o 97 98 98 95 95 96.0 97 97 97.3 97 9BI3 98.0 98 98 96 98 99 99 99 4 40 4 4 48 *9 5 5 5*.l 5 56 5 48 4 4 48 49 5 57 56 58 61 66.0 6 6 6 67.O 76 82.O 8 84 8 89 9 9 9 96 99 99 98 10 10 10 10 108 11 11 11 11 11 11 11 11 11 n4.o 114 11 11 11 58 60 6 6 60 60 6 7 81 8 8 86 90.0 9 9 9 96 99 10 10 10 10 107 11 110 11 11 11 11 30 11 112*5 11 11 114 11 11 59 6 66 66.0 6 66.0 67 77 8 8 8 8 88 9 9 9 96 99 99 98 10 10 10 106 108 111 11 11 11 11 11 11 11 11 11 11 116 11 115 4 46 46.0 4 47.0 48 48.J 5 5 56 59 58.3 5 5 5 5 5 5*. 9 56 5 57 59 6 60 59.* 58.3 59 67 69.3 7 7 75 78 81 84 88.3 9 96.0 97 99 10 10 107 110 11 116 116.0 11 116 116 117.0 117 117 117 H7 118 118 118 118 3 3 3 3 38 40 4 4 46.0 47 *9 *9.0 46 4 4 4 4 48.3 5 50 5 53.* 56 59.3 60 60 61 68 7 7 76 78 80 8 85.I 87 9 94 97 98 10 107.3 no.* 11 119.* 12 12 12 12 12 12 12 12 12 126 126 127.0 127 127 3*.l 3 3 3 3 3* 35 3 37 38 8:i * *l.l 40 4 4 46 *7 *9 50 5 59.* 69 77 77.0 75 7 69 7 7* 7 81.* 8 8 86.0 88 9 97 99 10 106 109 H 117 12 120 120 120 120 12 12 12 12 12 12 124 12 12 24 23*8 2 2 2 29 3 37.3 37 37 4o 45.O 60 13 13 12 101 8 84 86 87.I 10 109.3 104 98 98 99 100 99.0 100 10 10 105 106 106 10 10 10 10 104 10 10 106 105 10 105 10 10 *5.o k6 *8.0 *7.3 46 *7.0 48.* 50 5 5* 5* 56 58 58 56 5 55 59.3 6 67 70 7 7 7 77 8 8 90.0 9 100.3 10 108.0 11 11 121 127.0 126 126 126 12 127 129.O 129 130.3 130 131 13 13 13 NOTE: Data include Alaska and Hawaii beginning 1959. This inclusion has resulted in an increase of 212,000 (0 percent) in the nonagricultural total for the March 1959 benchmark month. Data for the 2 most recent months are preliminary.
ESTABLISHMENT DATA 22 SEASONALLY ADJUSTED Table B-5: Employees on nonagricultural payrolls, by industry, seasonally adjusted (In thousands) Industry Feb. Jan. Dec. Mbv. Oct. 1961* Sept. 1961* Aug. 1961* July June 1961* TOTAL. 6o,o6i* 59,916 59,992 59,676 59,33* 59,206 58,878 58,382 58,1*58 58,301 58,256 58,101* 57,931 MINING 627 629 633 635 633 637 639 638 63* 639 639 631 CONTRACT CONSTRUCTION. 3,217 3,188 3,3Ol* 3,281 3,235 3,21*1* 3,162 3,106 3,080 3,103 3,107 3,106 3,093 MANUFACTURING 17,888 17,891* 17,81*9 17,772 17,705 17,622 17,505 17,171 17,1*1*9 17,339 17,31* 17,285 17,225 DURABLE GOODS. 10,301 10,310 10,259 10,210 10,150 10,088 9,992 9,70; 9,986 9,886 9,890 9,826 9,780 Ordnance and accessories Lumber and wood products Furniture and fixtures,, Stone, clay, and glass products., Primary metal industries Fabricated metal products Machinery Electrical equipment Transportation equipment Instruments and related products, Miscellaneous manufacturing..., 214-3 598 l*2l* 623 1,261* 1,261* 1,695 1,651 1,7*7 376 1*16 21*1 600 1*23 625 1,279 1,265 1,691 i,6i*o l,7l»6 379 1*21 2l*2 608 1*22 628 1,278 1,237 1,D8Y 1,626 1,733 378 1*20 21*2 6ol* 1*18 623 1,278 1,260 1,671* 1,610 1,706 378 1*17 2l*3 597 l«l5 623 1,277 1,21*2 1,672 1,597 1,696 37* l*ll* 21*2 598 1*13 620 1,271 1,232 1,665 1,588 1,671 37* l*li* 21*5 595 1*09 618 1,269 1,213 1,61*3 1,572 1,61*6 371 1*11 2*7 591 1*07 616 1,253 1,179 1,61*1* 1,560 1,1*29 368 1*08 21*8 593 1*05 620 1,258 1,223 1,61*3 1,558 1,667 369 1*02 250 59! 1*03 617 1,2*! 1,208 1,625 1,5*6 1,63: 36S 39S 255 599 *05 618 1,2*6 1,196 1,620 1,550 1,632 371 398 260 593 1*02 616 1,222 1,192 1,608 1,537 1,628 369 399 265 596 398 613 1,199 1,185 1,597 1,533 1,633 367 39* NONDURABLE GOODS. 7,587 7,581* 7,590 7,562 7,555 7,53* 7,513 7,^3 7,*53 7,*5* 7,*59 7,**5 Food and kindred products Tobacco manufactures Textile mill products Apparel and related products... Paper and allied products Printing and publishing Chemicals and allied products... Petroleum and related products.. Rubber and plastic products... Leather and leather products... 1,711 85 923 1,360 61+2 972 89I+ 182 1*57 361 1,711 85 923 97I* 893 183 1*58 359 1,735 85 921 l,3l*7 639 971 891* 181* *53 361 1,731* 81* 917 l,3l*0 637 967 890 181* 1*50 359 1,7*1 86 911* 1,31*1* 635 96k 887 181* 1*1*2 358 1,7*3 88 909 1,333 631* 962 885 185 1*38 357 1,737 92 901* 1,329 635 956 882 185 1*36 357 1,717 90 899 1,319 63I* 955 878 187 1*33 357 1,716 82 899 1,317 632 956 881 185 1*39 356 1,726 83 895 1,311 631 95* 879 185 *35 351* 1,719 1,309 632 955 879 187 *33 357 1,720 89 895 1,323 631 953 880 187 1*27 35* 1,731 Q9 895 1,305 630 952 87I* 187 1*29 353 TRANSPORTATION AND PUBLIC UTILITIES *,O59 l*,0l*5 l*,0i*2 3,997 3,939 l*,020 3,997 3,996 *,00 3,99S 3,983 3,965 3,968 WHOLESALE AND RETAIL TRADE. 12,621 12,568 12,622 12,532 12,1*1*7 12,362 12,311 12,278 12,229 12,233 12,223 12,187 12,135 WHOLESALE TRADE RETAIL TRADE.... 3,333 9,288 3,320 9,2l*8 3,303 9,319 3,288 9,2** 3,270 9,177 3,259 9,103 3,21*6 9,065 3,233 9,ol*5 3,226 9,003 3,221; 9,007 3,232 8,991 3,227 8,960 3,212 8,923 FINANCE, INSURANCE, AND REAL ESTATE 3,004 2,997 2,987 2,979 2,975 2,970 2,960 2,951 2,91*8 2,9*3 2,93* SERVICE AND MISCELLANEOUS.. 8,79*! 8,76* 8,75* 8,730 8,689 8,65* 8,63* 8,633 8,592 8,573 8,561 8,509 8,1*39 GOVERNMENT 9,85).; 9,830 9,791 9,71*2 9,707 9,6 9,596 9,50! 9,*73 9,1*51 9,*7O 9,*56 FEDERAL STATE AND LOCAL 2,3 V 7,51c 2,3** 2,31*0 7,*5l 2,335 7,*O7 2,31*2 7,365 2,352 7,3*0 2,35* 7,306 2,332 7,26; 2,320 7,18S 2,326 7,1*: 2,322 7,129 2,323 7,1*7 2,339 7,H7 NOTE: Data for the 2 most recent months are preliminary.
23 ESTABLISHMENT DATA SEASONALLY ADJUSTED EMPLOYMENT Table B-6: Production workers on manufacturing payrolls, by industry, seasonally adjusted (In thousands) Major industry group Feb. Jan. Dec. Nov. Oct. Sept. Aug. July June MANUFACTURING 13,306 13,314 13,298 13,227 13,168 13,099 12,993 12,661 12,956 12,847 L2,839 12,794 L2,736 DURABLE GOODS 7,635 7,615 7,570 7,518 7,376 7,089 7,377 7,279 7,271 7,219 7,174 Ordnance and accessories 100 99 100 101 100 100 102 102 103 104 105 107 109 Lumber and wood products, except furniture... 533 536 544 540 533 536 532 528 530 531 536 528 532 Furniture and fixtures 354 353 352 348 3^5 344 340 339 338 335 338 336 331 Stone, clay, and glass products 502 504 508 503 503 501 500 498 500 498 497 496 493 Primary metal industries 1,030 1,042 1,01*7 1,046 1,044 1,041 1,038 1,022 1,026 1,012 1,017 995 972 Fabricated metal products 977 982 957 979 964 951 933 901 945 932 918 916 910 Machinery 1,183 1,179 1,179 1,168 1,166 1,165 1,145 1,146 1,149 1,129 1,125 1,118 1,109 Electrical equipment and supplies 1,1* 1,126 1,113 1,099 1,086 1,078 1,065 1,053 1,049 1,040 1,041 1,029 1,024 Transportation equipment 1,249 1,245 1,237 1,212 1,207 1,181 1,156 942 1,180 1,145 1,141 1,141 1,146 Instruments and related products 240 242 24i 240 238 237 235 232 234 234 236 233 232 Miscellaneous manufacturing industries 333 337 337 334 332 333 330 326 323 319 317 320 316 NONDURABLE GOODS 5,671 5,669 5,683 5,657 5,650 5,632 5,617 5,572 5,579 5,568 5,568 5,575 5,562 Food and kindred products Tobacco manufactures 1,122 72 1,124 72 1,147 72 1,144 73 1,150 74 1,154 76 1,151 80 1,132 78 1,133 71 1,142 72 1,134 78 1,134 78 1,144 77 Textile mill products 823 824 824 820 817 812 808 803 803 799 798 800 800 Apparel and related products 1,210 1,207 1,199 1,192 1,196 1,186 1,181 1,173 1,173 1,165 1,164 1,176 1,160 Paper and allied products 500 501 500 498 495 495 496 494 494 493 494 494 493 Printing, publishing, and allied industries 619 618 616 615 611 610 605 604 606 604 6o4 604 604 Chemicals and allied products 540 538 539 537 536 532 530 526 530 530 531 531 527 Petroleum refining and related industries 112 113 114 112 113 113 114 116 116 115 117 117 116 Rubber and miscellaneous plastic products... 355 356 354 350 343 339 337 334 340 337 33^ 329 330 Leather and leather products 318 316 318 316 315 315 315 312 313 311 314 312 311 NOTE: Data for the 2 most recent months are preliminary. 777-676 O-65--1
ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT Tqbl* B-7t Employ*** on nonagricultural payroll* (In 1 ALABAMA 2 Birmingham 3 Huntsvilie 4 Mobile State and area 860 21 10 TOTAL 851 210.3 70 10 83 20 66.0 10 8 Mining 8 8 45 1 6 Contract construction 4 10 4 10 6 27 66 2 Manufacturingl 267 6 1 2 255 61 10 19 5 ALASKA 6 60 59 4 6 ARIZONA 7 Phoenix 8 Tucson 40 23 78.0 40 23 77 388.3 22 76 1 1 1 26 1 5 2 1 5 27 1 6.0 6 4 6 61 46 6 58 4 6 9 ARKANSAS 10 Fayetteville 11 Fort Smith Little Rock-North Little 12 Rock 13 Pine Bluff /."if. f. HJO. 0 18 36 9 2 17 36 9 20 17 37 9 20 9A Q 4.H 1 6 99 1 LL.i. 1 5 7 1 9fl "X I/O. J 1 18 197 1 I//. 5 1 18.3 12 1 17 14 CALIFORNIA Anaheim-Santa Ana- 15 Garden Grove 16 Bakersfield 17 Fresno 18 Los Angles-Long Beach... 19 Sacramento San Bernardino-Riverside- 20 Ontario 21 San Diego 22 San Francisco-Oakland... 23 San Jose 24 Stockton 25 Vallejo-Napa 5,676.0 77a 9 2,46 22 238.0 26 1,059 26 69 5 5,64 9ft7 7.01. I 76.0 9 2,45 22 237.0 26 1,059 260 67 5 5,517 7 91 2,400 219 226 259 1,03 25 67 51 29 6 9.3 29.3 9.3 29 6 9 327.0 129 1 17 1 61 18.3 33 25 129 1 17.3 1 6 18 33 126.0 1 16 14 6 18 1,371 9 8 1 748 3 39 47 187.0 81 1 1,36 9 8.3 1 745 3 39.3 48.0 189 80 1 1,384 90.0 7 1 75 35 38 5 19 8 1 26 COLORADO 27 Denver 571 36 566 360 56 36 11 11 1 37.3 2 3 2 35 2 8 59 8 59 89 6 28 CONNECTICUT 29 Bridgeport 30 Hartford 31 New Britain 32 New Haven 33 Stamford 34 Waterbury 35 DELAWARE 36 Wilmington 1,007 13 26 4 137 6 69 17 159 99 13 26 4 135 6 68 171 158 980 13 256 40 13 6 68 16 15 (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) 4 1 1 8.0 1 10 4 9 7 11 10 4 1 1 7 1 9 43 69 97.0 2 4 2 37 6 6 431 69.3 96 2 4 21 37 6 6 42 69 9 2 4 2 37.0 59 60.3 37 DISTRICT OF COLUMBIA 4.. 38 Washington 609 90 60 89 59 868.3 2 60 2 56 24 6 20 39 20.3 39.3 19 37 39 FLORIDA Fort Lauderdale- 40 Hollywood 41 Jacksonville 42 Miami 43 Orlando 44 Tampa-St. Petersburg... 1,591 159.0 35 10 23 1,596 109 159.3 35 104 23 1,528 99 15 34 98 22 9 9 9 129 1 19 8 18 129 1 1 19 8.3 18 119 1 10.3 20 8 17 247.3 2 5 19 4 247 10 2 5 19 40 239 10 2 5 19 40.3 45 GEORGIA 46 Atlanta 47 Savannah. 1,21 460 55 1,20 456 5 1,169.3 437 5 5 5 5 67 30 6 29.3 6 26 389.3 106 1 388 105 14 37 99 1 48 HAWAII 49 Honolulu 21 178 210 178 20 17 17 1 17 1 15 1 2 16 2 1 24 17.3 50 IDAHO 51 Boise 16 30 16 30 16 29 7 1 7 29.0 30 29 52 ILLINOIS 53 Chicago Davenport-Rock Island- 54 Molin 55 Peoria 56 Rockford See footnotes at end of table. 3,748 2,597 U) 3,696 2,557 119 110 88 3,64 2,52 11 108 8 2 6 18 2 6 (3) 2 (3) NOTE: Data for the current month are preliminary. 146 9 131 8 6 145 96.0 6 1,268.3 89 1,258 88 46 4 47 1,21 85 4 4 4
ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT for States and selected areas, by industry division thousands) Transportation and. public utilities 49 16 9 6 2 1 5 28 8.3 377 9 7 146 1 1 1 10 1 4 29 45 9 1 1 10.0 8 30.0 48.3 110 16 36 17 80 4 5 15 1 14 269 19 49.3 16 10.0 2 1 5 28 8 37 9 5 7 145 1 16 1 10 1 5 4 29 45 9 1 1 10.0 8 29 47 109.3 5 1 36 6.0 17 80 4 15 1 1 268 190 48 16 1 9 6 2 1 28 8 367.0 8 7 14 16 16 1 10 10 5 4 29 4 9 1 1 10.0 8 29 46 106 16 3 16 78 40 6 1 1 1 269.3 19 6 Wholesale and retail trade 166 48 2 8 96 60 17 9 8 2 1,2 60 17 2 54 45 5 58.3 23 47 1 9 136 9 180 2 50 6 26 1 10 3 29 86 17 42 4 9 3 67 25 120 1 49.3 4 4 8 800 56 16 48 10 2 8 9 59 17 9 A ft *f.u 8 20 1,227 59 1 2 54 4 5 57 23 47 1 9 13 9 176 2 49 6.0 26 1 10 3 29 86.0 17 426 3 4 9 3 67 250.3 118.3 1 49. 39 8 78 55 2 2 1 158 47 9 21 7 9 57 17 90 O Q j. O> 8.3 20 1,19 5 16 2 52 49 56 226 4 1 9.0 13 88 17 2 48.0 6.0 25 1 10.0 3 28.3 8 16 409 29 4 9 6 244 11 1 46.0 39.3 40.3 8 776.0 548 2 2 15 Finance, insurance, and real estate 3 1 2 15 4 17 c. J 7 316 1 14 9 1 8 10 30 2 58 4 3 7 1 6 6 3 5 95 1 2 1 57 3 1 11 199 155 (n 3 1 2 1 4 17 c J 7 31 1 14 9 1 8 10 30 2 57 4 3 7 1 3 5 95 7 1 2 1 57 3 12c3 11 198.3 15 4 3 1 1 20 1 1 A. H 7 30 1 139 8 1 79 9 30 2 57 3 7.3 1 6 6 30 50 9 7.3 1 24 1 57 3 1 1 6 19 15 4 Service and miscellaneous 106 26 1 7 6 39 1 59 4^ 1 91 4 10 1 405 rxf. 1 /O.I 39 4 166 49.3 9 7 9 6 13 1 3 2 1 8.3 2 20 11 18 286.0 2 7 17 38 139 6 7.3 37 3 24 55 415 106 26 1 1 6 6 39 1 59.3 * J 1 909 4 10 1 405 OK Q 39.0 46 16 49 9 7 9 6 13 1 3 2 1 7 21 19 11 180 289.3 2 2 78 17 39 138 6 7.3 37 3 2 54 407 14 1 9 105 2 1 1 6 6 37 1 56 5^0 1 869 38.3 10 1 39 OA 7 Z<f. / 36 45 158 47 9 7.3 90.3 61 130 14 3 2 1 8 21 19.0 107 17 27 20 2 7 1 36 136 6 7 3 3 2 537 40 1 1 9 Government 178 24 26 28 90 4 2 79 -a S J j 18 4 1,095 4 2 20 329 on c OU.D 6 6 22 4 18 2 13 69 11 10 29 1 6 6 2 20 30 34 290 27.0 46 1 3 219 6 9 56.0 48 38 7 487 276 178.3 2 2 2 28 90 4 2 79 o c J J 18 4 1,09 4 2 20 328 OU.J 6 66 220 4 17 2 13 69 11 1 28 1 6 6 2 20 30 34 289 15 2 4 1 3 219.0 6 9.3 5 48 38 7 48 27 19.0 1 6 17 2 24 2 27 86 40 20 76 o 7 o. / 17 1,038 38 2 20 31 yc f. fj.o 59 6 209 39 16 2 130 67.3 108.0 10 28 1 6 6 2 20 29 33 277.0 1 26 4 1 3 21 6 9.0 5 46 37 7 474 27 18 1 6.0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 1 Q 17 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56
ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT 26 Tabl* l-7t Employ*** on nonagriculturol payroll* (In State and area TOTAL 1963 Mining 1963 i-hr. COQStDlCtlOO 1961> Manufacturing 6 7 3 9 10 12 13 14 15 16 17 18 19 20 21 22 23 24 2 J 27 28 29 30 31 32 33 34 35 36 37 38 39 4o 41 42 43 44 45 47 48 49 50 51 52 53 54 55 56 57 INDIANA Evansville Fort Wayne Gary-Harmnond -East Chicago Indianapolis South Bend Terre Haute IOWA Cedar Rapids. Des Moines... KANSAS Topeka Wichita... KENTUCKY Louisville. LOUISIANA Baton Rour;e. New Orleans. Shreveport.. MAINE Levriston-Auburn. Portland MARYLAND A Baltimore. MASSACHUSETTS Boston Brockton Fall River New Bedford Springfield-Chico-Dee- Holyoke 5. Worcester MICHIGAN Ann Arbor Detroit Flint Grand Rapids Kalamazoo Lansing Muskegon-Muskegon Heights Saginaw MINNESOTA Duluth-Superior Minneapolis-St. Paul. MISSISSIPPI. Jackson... MISSOURI Kansas City. St. Louis... MONTANA Billings... Great Falls. NEBRASKA. NEVADA. Reno.. NEW HAMPSHIRE Manchester.. 1,57 76.0 95 197 350 84 4 73 5 104 58 5 127 75 267 89 77 330.3 77.3 278 2 5 1,037.* 654 1,98 1,12 4 4 50.3 18 117 2,59 89 1,31 147 157.0 6 10 4 6 1,039 48 624-47 7 1,43 43 791 17 2 21 407 169 150 4 208 4 1,55 75 19 347.3 8 4 717 5 10 577 51 127.0 736 26 888.3 80.0 328 7 27 2 5 1,02 646 1,51 7 9 190 340 8 4 710 5 104 58 50.3 128 71 257 84 7 318 7 27 2 5 997 637 1,949 1,10 4 4 49 1, 1, 939 097 4 4 49 178 11 2,54 89 1,29 14 154 60 10 4 59 1,01 47 610 7 1,41 429 78 16 2 2 399 168 149 4 20 4 176 11 2,45 8 1,24 l4o.i 15 59 97 4 58 1,00 47.3 600 451 7 1,39 42 77 169 2 2 399 168 14 4 20 4 30 6.0 8.0 (3) (6) 9 3-2 1 29 4.3 10 1 2) 2) 2) 2) 2) 1 7 7 (3) (6) 69 10 1 1-5 34 1 4 3 5 h6.k 1 76 6 2 11 7 37.0 85.O 5 8.0 106 5 48 30 26.0 77 2 4 10 2 8 1 6 10 1 28 26 4 40 1 77 9.0 24 6 10 70 3 7 ^ 6 98.3 1-5 48 5 4 27 2 4 68 20 40.3 8 19 7 1 5 7 1 6 At. 2 1 1 1 3 30 38 1 60 7.3 2 10 7 36 79 46 1 7.0 9 48 7.3 46 28 2 6 20 39.0 10 1 2 9 14 650 29 106 12 3 12.:. 185 2 2 116 7 4 200 9 157.3 15 57 10.3 10 1 1 26 188 65 279 1 2 26.0 70.3 48 1,07 3 56 8 69 26 36 2 29 247.0 9 16 149.0 1 40 11 270 20 67.3 35 6 86 1 64 29 10 120.0 31 1 18 2 2 U6 7 4 199.3 9 154 15 5 10 10 1 1 257.0 185 65 278,5 1 21 26 70 48 1,068.0 3 56 8 70 26.0 3 2 28 24 9 16 14 11 40 11 268 20 67 36 6 86 17 617 27 37.0 10 11-3 12-.3 179 2 21 120 6 4 187 88 149 1 53-2 9 99 1 1. 25 18 64 27 1 2 25 68 47 1,008 29 52 79 67 26 3 2 27 238 9 160 13 1 398 11 20 66.0 3 6 ' 8 16 See footnotes at end of table. NOTE: Data for t-he current month are preliminary.
27 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT for States and seucted areas, by industry division Continued thousands) Tra J 89.3 1 2 48.3 7 49-7 7 5 2 8 4 8 16 7 5 10 6 1 8 13 71 9 k.a 77 7 50 26 n 44 61 17.0 35 19 11 9 insportation and. public utilities 89.O 1 2 k.k ka.i 7 k9.k 6 7 5 2 8 k 4 8 16 d 7 5 100 6k 8 131 7 9 7 k9 26 h 11 kh.k 61 16 35 19 11 %6 88.0 k 6 1 2 k.3 kq.k 7 50 6 7 5 20 81 k.k 4 8.3 16 69 51 10 6 1 7 129 68.0 9 76 7.0 48 25 11 4 6 17 36.0 19 1 *\ Wholesale and retail trade 298.0 1 20 29 76.0 17 11 180 1 27 135 10 28 15 57 19 16 78 20.0 5 14 229 138 407.0 250.3 10 8 8 3 2 48 10 25 21 31 10 17 7 11 25 1 156.0 9 17 320 105 160 4 7 10 4 27 9 38 9 29 1 20 29 75 17 1 175 1 27 13 10 28.3 150 56 19 16 77 19 5 1 22 136 396 24 10.0 8 8 3 2 458 9 247 2 30 10 17 1 2k6.0 1 15 90 17.3 31 10 159.3 40 7 100 ko.k 27.3 9.3 37 9.3 29 16 20 29 7 17 11 17 11 26 13 10 28.0 148 56.O 18 15 7 19 5 1 21 13 399 24 9 8 8 3 2 450 8 240 20 30 10.0 16 7 1 24 1 147 88 16 315 10 157.3 lk).l 7 5-4 9 40 26 8.3 37.3 9 Finance, insurance, and real estate 6 2 3 1 2 29 1 40 19 9 4 5 3 106 76 8 9 5 1 51 37-9 16 78.O 28 U0 2 1 6.0 8 6 2 3 1 2 6.0 29 1 39 19 9 4 5 3 105 7 8 9 5 1 51 38.0 16 77.3 28.0 39 2 1 6.0 8.3 * 6 5-2 2 3 1 2 28 1 39 19.O 9 5 3 105 76 8 5 9 54 5 5 38 1 76 28 lkd.0 2 14 8.0 Service and miscellaneous 164 9 1 16 39.0 1 107 6 16 8 8 18 10 38.3 120 10 5 10 3 8 164 98 355 240 4 7.3 7.^ 27 18 317 6 17 1 20 7.0 9 6 160 9.0 99 55 1 21 6 121 2 6 27 55 1 30 6 16 9 11 1 38.3 1 105 16 8 7 18 98 37 119.0 10 5 10 3l.l 8 16 96 3^ 237.3 6 2 17 31 166 1 19 9 6 155 9.0 9 5 1 209 62.I 120.0 2 6 27 54 1 30 6 160 9 1 16 37 1 10 1 80 7 18.0 98 37 11 10.0 5 10 3 8 156 95 34 23 7.3 7 27.3 17 30 6 166 1 20 6 9 6 15 8 9 5 1 206 6 117 2 6 27 5 1 28 6 Government 230 7 8 1 5 8 8.3 137 15 13 1 16 136 30 169 19 4 1 5 6 180 10 27 159 6 2 1 367 3 14 1 1 10 28 187.0 7 8 10 16 218 56 89 4 89 2 27 8.0 26 229.3 7 8 16 5 8 8 137 15 13 1 16 136.0 29 169.3 19.0 4 1 5 6 18 10 27 159.3 6 4 2 14 367.3 35 14 15 1 10 28 I8 7 84 10 16 217 5 89 44 87.3 2 27 8.0 26 218.0 7 7 15 5 8 7 13 1 127 1 16 128 29.I 16 18 4 1 5 6.0 17 99 266 155 2 14 36 3 14 15 i4.o 10 27 176 7 80 100 16 210 5 86 4 87 2 2 7 25 l 2 3 4 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 4o 41 42 43 44 45 k6 47 k8 49 50 51 52 53 54 55 56 57
ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT 28 TobU B-7: Employ > on nonagricvlturol payrolls (In State r.nd mrem Mining Contract construction Manufacturing 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 NEW JERSEY Atlantic City Jersey City 7... Newark 7 Paterson-Clifton- Passaic 7 Perth Amboy 7 Trenton NEW MEXICO... Albuquerque. NEW YORK Albany-Schenectady-Troy Binghamton Buffalo Eimira 8 Nassau and Suffolk Counties 9 New York-Northeastern New Jersey New York SMSA 7 New York City 9 Rochester Syracuse Utica-Rome Westchester County 9... NORTH CAROLINA Charlotte Greensboro-High Point... Winston-Salem NORTH DAKOTA Fargo-Moorhead. OHIO Akron Canton Cincinnati Cleveland Columbus Dayton Toledo Youngs town-warren. OKLAHOMA Oklahoma City. Tulsa OREGON Portland. PENNSYLVANIA Allentown-Bethlehem - Easton Altoona Erie Harrisburg Johns town Lancas ter Philadelphia Pittsburgh Reading Scranton Wilkes-Barre Hazleton. York RHODE ISLAND Providence-Pawtucket- Warwick 2,200 5 25 700 408 20 116 26 9 6,387 239 9 440 3 547 5,978 4,41 3,56 290.3 190 100 259 1,366 13 139.3 3 3,29 20 117.0 42 757 308 275 200.0 168 63 207 146 57 300.3 3,817 2,16 49.3 248 69 40 20 11 258,5 9 6,33 237.0 9 436 3 53 5,928 4,38 3,55 287 18 99 195 42 81 156 71 101 25 1,355 13 137.3 3 3,240 20 115 418 747 30 27 195 16 626 206 146 569 298 3,774 19 4 80 155 1,54 776. 107. 75. 108.0 106 30 319.0 70 100 1,528 766 108 75 107 10 298 314,13 5 247 68 398 198 11 25 90 6,30 23 9 429 3 53 5,907.0,379.0 3,55 277.3 186.0 100 25 1,321 128 13 3 3,17 196 109 416 729 294 26 19 156 620 20 140 55 287 3,737 18 4 79 15 68 98 1,52 757 105 75 10 10 299 31 17 9.0 1. 20. 2.3.3 4 6 1 44 9 17 8 4 19.3 4 1 1 4 9 17 8 1 19 7.3.3 4 6 1 1 46 4 9 104 6 28 21 10.0 20 8 24 9 1 3 23 167 115 1 8.3 14 75 9 6 9.0 1 130 6 18 3 1 10.0 8 6 3 1 9 30 15 147.0 7 5 6 30 1 1 1 97 5 2 20 9 19 8 230.3 8 1 3 220 159 11 1 6 1 7 9 6 8 1 116.0 5,7 1 30 1 9.0 7.3 3 1 9 29 1 130.3 7 60 27 11 1 101 4 5 28 2 9 18 7 259 8.3 1 37.3 251 186 13 10 8 14 7 9.0 7 1 12 6,1 17.3 29.0 1 9 6 5 3 14 8 28 1 148 6 6 1 6 31 1 1 1 81 8.3 11 238 166 95 40 17.3 8 1,79 6 4 17 1 126 1,67,06 85 128 6 37 70 56 3 46 35 7,29 90 58 149 290 8 11 7 8 98.0 26 3 145 68 1,468.3 10 1 39 35 26.0 49 54 28 5 3 47 5 11 13 807 8 109.0 237 167.0 9 40.3 17 8 1,810.0 6 44 17 1 126 1,68,076.0 866 128.0 6 37 70 56 3 46 3 7.3,289 90 58 148 289 80.3 11 7 8 97 26 3 145 69 L,46 10 1 39 35 26.0 49 540.0 28 5 31 47 5 115 13 79 7 109 23 16 94 2 39 17 8 1,77 60 4 166 1 13 1,669,068 856.0 12 61 36 67 546 3 4 3 7,24 87 5 147.3 28 78.0 106 7 7 96 25 3 14 66 L,41 9 1 37 3 2 47. 528. 274. 51. 31, 46. 49 11 129.0 See footnotes at end of table. NOTE: Data for the current month are preliminary.
29 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT for States and selected areas, by industry division Continued thousands) Transportation and. public utilities 15 35 5 2 9 19 6 47 1 JO 25 480 360.3 315 1 1 16 7 1 1 199 1 3 46 18 10.3 1 8 45 1 14 4 27 255 10 9.0 4o7 1 4 10 5 5 1 1 15 35 5 2 9 6 19 6 47 1 29-25 480 360.3 316 1 1 16 7 1 5 1 196 1 3 45 18 10 1 8 4 1 14 4 27 256 10 9 4 U 5 1 4 104 5 5 1 1 15 3 50.3 2 9 6 19 6 47 1 30-24 478 360 317 1 1 16 69 14 1 195 1 6.0 3 45 18.0 10.0 1 8 4 1 1 4 26 256,8 10.3 9.3 1 4 105 5 5 5 5 1 14 Wholesale and retai 428 1 37 136 89 3 19 5 2 1,30 46 1 8 6 140.0 1,24 945 74 5 4 16.0 57 250 3 21 39 10 639 38 20 90 155 6 48 4 29 145 49 3 126 7 69 30 7 1 27 1 17 30 150 16 1 18.3 18.0 55 57.0 416 1 37.0 13 87.3 3 18 5 2 1,27 45 1 84 6 13 1,22 929 73 5 39.3 1 5 24 35 2 38 10.0 62 37 20 88 15 6 48.0 4 28 14 49 3 12 7 678 29 7.0 1 2 1 17 30 148.3 16 1 18.0 17 5 56.0 1 trade 410 1 36 13 86 3 18 5 20.3 1,285 4 1 8 129.0 1,217 928 737.0 49 39 1 55 240 3 20 38 10.0 61 3 19 87 148.0 60 46 40 28.0 140 47.0 3 12 7 68 29 6 13o7 26 1 17 299 146 16 1 18.0 17 55 56 Finance, insurance, and real estate 98 8 48 1 11 6.0 50 9 16-2 510 43 396 9 9 1 5 8 7.0 6 129 5 2 35 19 7 6 30 1 7.3 26 17 160 1 8 3 1 1 97 8 48 14 11 500.3 9 1-2 507 43 39 9 9 1 5 8 7.0 6 128 2 3 19.0 7 6 30 1 7 26 17 159 1 8 3 1 1 96 8 47 14 1 5 501 9 1-2 504 430 39 9 9 4 1 50 8 6 6 127 2 3 18 7.3 6 30 1 7 2 16 159.0 1 8 3 1 1 Service and miscellaneous 307 1 24 110 5 20 18 4 21 1,109 38 10 57-9 1,044 83 680 39 28 1 5 150 17 : 2 418 24 1 58 104 4 35 28 2 86 29 21 81 46 548 2 10 2 10.0 1 237.0 128 1 1 1 1 46 4 297 10 2 109.0 5 19 18 4 2 1,088 37 10.0 56-9 1,02 820 67 38 28 1 5 149 17.0 : 2 6 408.0 2 1 56 10 4 3 27 20 8 28 2 80 46.0 539 2 5 10 20 10.0 1 23 127 1 1 1 1 4 4 296.0 1 2 106 5 19 18 4 20 1,08 37 9 56-90 1,01 81 66 37 27 1 5 146 1 : 2 6.0 406 2 1 57 100 4 34 27 20 8 28 2 77 4 54 2 5 10 20 9 1 235 126 1 10 1 1 4 4 Government 290.0 8 27 8 39 30 2 7 2 950 59 15 60-99 786 60 458 3 27 2 3 196 1 38 7.3 460 2 10 5 90 6 49 2 16 148 55 1 116 50 500 1 8.3 46 10 8 201 86 10 8 1 10.0 4 40 288 8 27.3 84 39.0 30 2 74 2 948.0 59 15 60. - 99 78 60 458 36 27 2 3 19 1 _ 38 7 460 2 10 5 90 6 50.0 2 16 148.3 5 1 116 50 500 1 8 46 10 8 20 86.0 10 8 1 9 4 40 278 8.3 26 8 37 28 2 7 20 92 58 1 59-96 76 588 448 35 26 2 3 19 1 * 37 6 44 2 10 5 86 60 48 2 1 14 5 1 110 47 488 1 8 4 9 8 199.3 8 9 8 1 9 4 40.0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57
ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT 30 TobU B-7: Employ*** en nonogricultural payroll* (In 9 10 11 12 a 15 16 17 18 19 20 21 22 23 24 25 26 31 32 33 34 State end area SOUTH CAROLINA Charleston. Columbia Greenville SOUTH DAKOTA Sioux Falls TENNESSEE. Chattanooga Khoxville Memphis Nashville TEXAS Dallas Port Worth. Houston... San Antonio UTAH Salt Lake City VERMDNT Burlington 8 Springfield * VIRGINIA 4 Newport News-Hampton Norfolk-Portsmouth Richmond Roanoke 27 WASHINGTON 28 Seattle-Everett 29 Spokane 30 Tacoma. WEST VIRGINIA Charleston Huntington-Ashland. Wheeling 67 69 8 96 11+8 30.3 1,07^ 10 128 21 18 2,87 1*69 29 16 11 2 1,177 80 16 19^.3 6 864 400 7 8 46 7 7 5 TOTAL 665 69 8 96 li+6 29 1,059 10 127 21 18 2,84 1+66 289 158 110 2 1 1,16 80 16 19 6 850 395.^ 7 8 45 7 7 50 196*1 646 6 78.3 9 15 29 1,02 99. ^ 12 210.3 17 2,769.3 45 290 158 107 2 1 1,144 77 16 18 6 838 390 7 80 45 76 70 50 2) 3 111 7 1 7.0 Mining 1 6 1 6 37 6.0 6 Contract construction 5 5 1 1 189.3 28 1 1 9 90 1 14 4 18 18 36 6.0 6 6 49 ^ 9 10 1 186 28 1 1 8 4 8 1 1 4l.o 17 16 3 10.0 1 5 1 10 17 29 11 1 8 4 1 1 38 17 18 288 1 16 1+8 1 371. ^ *6 4 1*8 5 55 117 59-6 10 2 If8 28.0 37.0 7.0 310 25 18 47 15 215 11 1 17 126 2 25 16 Manufacturing MELT. 286 1 16 1+8 1 368 4 4 48 5 51+8 116.0 59 10 2 48 27 36 6 310.0 2 18 47 15 21 11 1 17.0 125 2 2 1 196k 27 1 15 4 1 35 4 4 47.3 5 53 11 57 97-^ 2 5 28 3 tl 30 2 17 4 1 21 109 1 17.0 12 2 2 16.0 WISCONSIN Green Bay Kenosha La Crosse.. 1'fedison Milwaukee Racine WYOMING Casper. Cheyenne. 1,290 4 36 25.O 90.0 50.3 9 17 17 1,270 41 3 2 88 1+S 50 90 17 17 1,24 1+0 36 2 85 469 47 9 17.3 19 5 21 7 1+ 1 20 6 5 19 8 477.^ 1 2 8 14 197 25 6 1 47 13-9 20 8 1 19 25 6 459 1 21 7 1 190 2 6 1 1 x Not available. 2 Combined with service. 3 Combined with construction. 4 Federal employment in the Maryland and Virginia sectors of the District of Columbia metropolitan area is included in data for District of Columbia. 5 Revised series; not strictly comparable with previously published data. 6 Combined with manufacturing. 7 Area included in New York-Northeastern New Jersey Standard Consolidated Area. 8 includes data for industry divisions not shown separately. 9 Subarea of New York Standard tfetropolitan Statistical Area. NOTE: Data for the current month are preliminary. SOURCE: Cooperating State agencies listed on inside back cover.
31 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT for States and selected areas, by industry division Continued thousands) Tra 1 27 k.k 10.0 5 6 16 1 216 37.0 9 21 1 6 1 8k.k 1H 1 8 59 30.3 7.0 Ho. 3 8 7 1 H 27 9 nsportation and. xiblic utilities 27 k 9 5 6 16 10 216 37.0 9 21. k 1 6 1 8H.0 1H 1 8 59 29 6 5.H 39 8 6 7 i.k H 27 9 196H 26 H.l H 3.H 9 5H 6.k 16 10 218.0 36 9 21 1 6 8 1 1 8 59.3 29. k 7.0 Ho 8 7.0 71 n 27.3 10.3 Wholesale and reta 11 lh.3 17.0 15 39 9 21 19.3 26 56 38.3 ll 125 "* 6 Hi. 9 2 2H 1 Ho HH.O Ik. 9 188. H 88 19 18.0 80 16 1 1 26H 10 k 18.H 99 8 19 k.k 110 lh.o I6 1 39 9 21 19 2 5 37 699 12k. P; - 6H Hl 2 5.H 1 239 1 39 H 1H 18H.3 87.3 19 17 77 1 1 10 258 10. H k.q 18.3 97 3.H 19 k.3 1 trade 196k IO8 13. H 16 1 Ho 9 20 18 2H 5H.H 36 68 120 6 Hl.H 20 1 23 1 38 H 1H.3 18 87 19 17 79.0 16 1 1 25 10 k i.k 17 9 8 19 H.l Finance, insurance, and real estate 2H 5 7.0 1 k6.l k 1 1 I5I 38 1 1 10.0 - - 52.H 2.H 6 1 H 2 H n.3 1 1-9 5 k 2 2H.0 5 7.0 1 H k 1 1 1H9 38 1 1 9 H - - 5 6 1 3.H H 2 k.3 1 5 7 2.3 196H 2 6 kk H.3 11 ll.h lk6.i 38.0 1 1 9 H - - 50.H 1H H 2 H H.l 1 k9 H 2 Service and miscellaneous 67 7 9-9 10 2H.H 5 A 1HH.0 1 1 3 29 H2 6H - Ho 2 19 - - 156 8.H 2 2 9-9 120 5 1 12. k 36 9.k 8 7 170. H H 1 6 6.0 1 67.3 7 9 10 2 lhl 12. H 1 3 29.I HiH.3 6H "* ko 2 19.3 - - 15H 8.H 2 2H 9 118 55. H 1 12. H 5H 9.H 8.0 7 166 6 k.o 12. H 6 5-9 1 196H 67 7 9 10.0 2H 138 1 lh.3 3 28 H01 61 - Ho. 3 2 18 - - 15H 8.0 21.H 2H.0 9 11 5H 1 1 5H 9 8 7 16H 6 H.l 1 6 10 Government 11 2 2 8 H5 181 1 2 37 27 517 H9 57 77.0 27 17 - - 22 21 k9 3 8.3-19 69 1 2 79.3 10 9 198.3 k.k 30.3 5 25.H 11 2 2 8 H 18 1 2 37 27 517.0 H9 57 76 27 17 - - 22H.H 21 H9 3 8.3 190.3 69 1 2 77 10 9 196 H 30.0 5 5.H 2 196H 109.0 2 20.3 8.3 HH.i 170 1 2 36 2 H98.3 H7.H 57 7H.0 26.H 17 - - 22 21. H 50 3 8.0 18 66 13.H 20 7 10 9 5 I89 H 29.0 5 2H 1 2 3 H 5 6 7 8 910 11 12 13 1H 15 16 17 18 19 20 21 22 23 2H 25 26 27 28 29 30 31 32 33 3H 35 36 37 33 39 Hi H2 H3 kh 777-676 O-65 5
33 ESTABLISHMENT DATA HISTORICAL HOURS AND EARNINGS Table C-l: Gross hours and earnings of production workers on manufacturing payrolls 1919 to date Manufacturing Durable goods Nondurable goods Tear and south Average weekly earnings weekly hours Arerage hourly earnings Average weekly earnings Average weekly hours Average hourly earnings Average weekly earnings Average weekly hours Average hourly earnings 1919 1920 1921 1922 1923 $214 26.02 24 28 26 4 47 4 4 4 $0,472 49 09 82 16 $252 $210 1921+ 1925 1926 1927 1928 27 2^1 2^.38 27 24. 70 4 4 45.O 4 4 41 41 42 44 56 258 26.02 263 268 26 23 29 29 25 22 1929 1930 1931 1932 1933'. 26 20 204 19 165 4 4 40 38.3 38 60 46 09 41 37 24 22 208 19 160 3 3 $0,492 67 27 20 20.09 176 166 4l 40.0 $0,412 19 1934 1935 1936 1937 1938 180 191 216 22 27 3 36 39 38 3 26 44 50 17 20 189 24 22 261 20 3 37 40 39 3 50 71 80 67 79 17-73 187 19-57 27 205 3 36 37-7 37 36 05 20 19 66 72 1939 1940 19U1 1942 1943 24 26 298 368 47 37 38 40 4 4 27 55 26 51 57 269 28.07 36 47 483 37 39 4 4 46 91 16 99 37 48 26 213 29 287 35 37 37.0 38 40.3 4 71 90 27 09 87 1944 1945 1946 1947 1948 450 40 42 497 52 4 4 40.3 40 40.0 11 16 75 17 28 58 48.36 462 56 56 46 4 40 40 40 05 99 44 78 95 38 378 40.30 46.03 490 4 4 40 40 39 44 86 95 45 50 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 i960 1961 1962 1963 196U: June... July August... September, October.., November., December., 58 52 63.^ 676 707 709 750 7O8 819 81 086 892 94 966 993 107 107 108 107 107 100 107 100 101 39 40 40 40 40 39 40 4o 39 39 40.3 39 39 40 40 4o 40 40 40 40 4o 40 40 4 378 40 16 ; 4 8 16 5 5 1 9 6 2 9 6 3 3 3 3 2 7 3 6 8 575 63 683 73 763 769 89 38 86 O97 96.05 974 100.35 100 1080 119 117 111 III2 117 1143 1111 117 1177 39 4 41 41 4 40 4 4i.o 40.3 39 40 40 40.3 40 4 4 41 4 4 41 41 4 4 4 53 119 I5 5 16 0 9 8 9 6 6 3 9 6 4 1 1 1 1 1 5 0 3 7 50.38 56.*88 59-95 67 03. ±0 663 70.09 72 741 781 00.36 82 83 871 901 901 97 94 913 917 90 97 96 38 39 39 39 39 39.0 39 39 39 38 39 39 39.3 39-6 39 39 39 39 39 4o.i 39 40.0 39 40 95 47 4 11 18 2 I7 7 15 1 8 5 1 7 2 9 9 9 9 9 2 0 1 2 : January.., February.. 1'farch. April...,, 103 103 1072 1052 1073 40 40 4l 40 4l 9 9 0 0 1 111 111 117.04 113 1178 4 4 4 4 4 7 7 8 8 9 90 93 90 90 90 39 39 40.0 39.^ 4o.o 3 3 4 4 5 NOTE: Data include Alaska and Hawaii beginning 1959. Biis inclusion has not significantly affected the hours and earnings series. Data for the 2 most recent months are preliminary.
ESTABLISHMENT DATA HOURS AND EARNINGS 3U Table C-2: Gross hours and earnings off production workers, 1 by industry Average weekly earnings Average hourly earnings Industry my 196k Jfar. 64 MINING $128 007 $117^ $114 $2 $1 $0 METAL MINING Iron ores Copper ores COAL MINING Bituminous CRUDE PETROLEUM AND NATURAL GAS Crude petroleum and natural gas fields Oil and gas field services QUARRYING AND NONMETALLIC MINING CONTRACT CONSTRUCTION GENERAL BUILDING CONTRACTORS BEAVY CONSTRUCTION Highway and street construction Other heavy construction. SPECIAL TRADE CONTRACTORS 1264 1281 135 130 137.^ 1142 1200 110.08 111 139 128 129 120.30 1301 lko.kfi 128 129 1341 131 137.36 115 1200 1092 1102 139 129 127 119.08 132 146 120 121 1298 1269 129.03 114 1194 1066 1146 135 124 136 1307 1368 1385 121 119^ 1293 1212 123 1117 1194 1051 110 1304 124 1276 121 132 1373 2 6 8 4 *8 6 9 9 5 1 9 0 8 7 9 4 9 2 5 9 6 5 5 9 3 3 0 0 4 2 3 6 0 7 2 7 3 0 6 7 6 2 ^ 3 3.H 1 4 8 5 2 4 0 2 9 6 2 0 7 MANUFACTURING $1073 1052 1072 107 107 $1 0 0 3 3 DURABLE GOODS NONDURABLE GOODS 1178 9*4-00 113 90 117.04 90 117 901 1111 893 9 5 8 4 8 4 1 9 0 8 Dnrablt Goods ORDNANCE AND ACCESSORIES Ammunition, except for small arms Sighting and fire control equipment Other ordnance and accessories LUMBER AND WOOD PRODUCTS, EXCEPT FURNITURE.. Sawmills and planing mills Sawmills and planing mills, general Millwork, plywood, and related products Millwork Veneer and plywood Wooden containers Wooden boxes, shook, and crates, Miscellaneous wood products FURNITURE AND FIXTURES Household furniture Wood house furniture, unupholstered, Wood house furniture, upholstered.., Mattresses and bedsprings., Office furniture. Partitions; office and store fixtures. Other furniture and fixtures STONE, CLAY, AND GLASS PRODUCTS Flat glass Glass and glassware, pressed or blown Glass containers Pressed and blown glassware, n.e.c Cement, hydraulic Structural clay products Brick and structural clay tile Pottery and related products Concrete, gypsum, and plaster products Other stone and mineral products, Abrasive products, 1281* 139 1204 95 83 97-48 786 859 809 94 119 1073 126 975 116.07 no. ok 125 128^ 125.H 1170 87.02 799 80 9^.35 899 987 711 693 777 85 809 77.04 82 859 99.39 107^ 88.32 1077 1503 104 109.07 4 129 90 895 99 105 1077 1103 1270 1309 124 120.35 860 80.00 89 98 95 93 705 681 790 863 89 78.02 88.i 878 999 1100 92 1069 1506 IOI5 1002 107 119^ 90 863 91 100 109.36 112 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary. 1190 1209 1293 1167 867 79.37 80 93 93 978 699 688 779 811 775 76 88 89 960 IOI1 867 1063 145 107 107 99.& 126 95 861 97 1108 1089 1082 120.09 121 1291 114 849 779 79.^ 95 90.39 95. 1 «O 685 67.30 762 83 795 742 89 81 9S.k6 1055 864 1043 1368 102 1057 1005 1182 92 860 97 1065 107.36 1082 9 8 0 1 2 1 6 4 0 8 9 2 1 7 0 2 2 6 k 2 8 7 7 2 9 7 1 7 1 3 8 8 13 8 4 3 8 7 1 1 3 2 2 9 8 0 5 5 l 0 8 6 1 0 6 0 4 8 7 0 6 1 2 9 14 9 4 9 0 8 9 2 8 l 4 3 5 7 5 4 1 1 9 4 8 6 4 5 0 5 3 8 3 8 I9 2 2 8 0 4 3 8 4 4 5 2 5 6 2 1 6 4 2 6 3 8 2 9 5 1 4 9 3 1 5 3 7 18 4 4 9 2 6 7 2 4 2 3.to 3 6 0 6 9 4 3 0 5 3
35 ESTABLISHMENT DATA HOURS AND EARNINGS Table C-2: Gross hours and earnings off production workers) by industry Continued Average weekly hours Average overtime hours Industry Miy MINING 41 4 4 4 METAL MINING Iron ores Copper ores 43 #.l 4l 39 4 4 1*0 4 4 38 4 COAL MINING Bituminous, 39 39 39.3 39 38 39 37 37 CRUDE PETROLEUM AND NATURAL GAS... Crude petroleum and natural gas fields Oil and gas field services. QUARRYING AND NONMETALLIC MINING. CONTRACT CONSTRUCTION GENERAL BUILDING CONTRACTORS HEAVY CONSTRUCTION Highway and street construction Other heavy construction. 4 1*0 4 4 36 3 39 4o.l 38 1*0 4 4 36 35 39.0 39*3 38 4 1*0 4 45 37 36 4 4 4 4 1*0 4 4 37.0 36.0 1*0 1*0 1*0 SPECIAL TRADE CONTRACTORS 3 36 37 36 MANUFACTURING 4 1*0 4 1*0 1*0 DURABLE GOODS NONDURABLE GOODS 4 4o.o 4 39 4 1*0.0 41 39 4 39.^ Dmtablt Goods ORDNANCE AND ACCESSORIES Ammunition, except for small arms Sighting and fire control equipment Other ordnance and accessories LUMBER AND WOOD PRODUCTS. EXCEPT FURNITURE... Sawmills and planing mills Sawmills and planing mills, general Millwork, plywood, and related products Millwork Veneer and plywood Wooden containers Wooden boxes, shook, and crates Miscellaneous wood products FURNITURE AND FIXTURES Household furniture Wood house furniture, unupholstered. Wood house furniture, upholstered... Mattresses and bedsprings. Office furniture Partitions; office and store fixtures.. Other furniture and fixtures STONE, CLAY, AND GLASS PRODUCTS Flat glass Glass and glassware, pressed or blown Glass containers Pressed and blown glassware, n.e.c Cement, hydraulic Structural clay products Brick and structural clay tile Pottery and related products Concrete, gypsum, and plaster products Other stone and mineral products Abrasive products 41 4 4 4l 4 4 4 4o 4o 4o 4 4 4l 41 4 4 4 1*0 4 1*0 IJO 1*0 1*0 1*0 4 39 1* 1*0 1*0 1*0' 1*0 1*0 4 39.0 38.3 1*0 1*0 1*0 4 4 39 1*0 39 4 4 39 4 4 1*0 4 4 1*0 41 1*0.0 1*0.0 39 4i.o 1*0 4 1*0 40.3 4 4 4 4 1*0 39 41 4 4 4 39 38 40 1*0 4 1*0.3 4 4l 4 1*0 39 1*0 1*0 1*0 1*0 i*o 4 4i.o 4 1*0 4i.o 4i.o 1*0 1*0 4 38 38 41 39 1*0 4 4 1*0 4 1*0.3 4l 40 4 4 4 1*0.3 1*0.3 1*0 1*0 39 1*0 39 41 1*0 4 39 1*0.3 1*0 1*0 1*0 39 38 1*0 1*0 1*0.3 4 1*0 1*0 4 1*0.3 4 4 4 1*0 4 4 4. 1 6 1-9 5 See footnotes at end of table. NOTE: D«ta for the 2 most recent months are preliminary.
ESTABLISHMENT DATA HOURS AND EARNINGS 36 TabU C-2: Oross hours and earnings of production workers] by industry Continued Industry Average weekly earnings Avera hourly earnings Durable Goods-Continued PRIMARY METAL INDUSTRIES Blast furnace and basic steel products Blast furnaces, steel and rolling mills Iron snd steel foundries Gray iron foundries Malleable iron foundries Steel foundries Nonferrous smelting and refining Nonferrous rolling, drawing and extruding Copper rolling, drawing, and extruding Aluminum rolling, drawing, and extruding Nonferrous wire drawing and insulating Nonferrous foundries Aluminum castings Other nonferrous castings Miscellaneous primary metal industries Iron and ateel forgings 13* 139-54 1262 1272 125 111 1393 $1408 1561 1588 121 122 126.05 120.38 121 1275 126 148 117.04 1089 IO9.O8 1087 131 1390 $133 148 142 1262 1278 1277 123 127 128.03 135 1294 124 117 110 114 149 1506 1298 1380 139.^0 1196 1166 120 1215 1193 124 1282 127-14 111 1107 114 1080 136 1371 1284 1364 1385 1196 117.39 1242 122 1177 1204 127-30 1240 Hl8 1096 HO3 1088 1343 1371 7 2 ^ 8 7 5 9 9 3-19 3 7 6 3 8 8 6 5 8 3 8 6 8 4 6 0 7 1 5 8 5 6 0 2 5 4 6 1 0 1 9 2 6 3-10 6 0 8 2 0 6 8 7 5 2 8 7 9 4 7 3-30 3-09 4 8 3 0 6 7 5 4 0 3 6 9 3 8 3-30 FABRICATED METAL PRODUCTS Metal cans Cutlery, hand tools, and general hardware Cutlery and hand tools, including saws Hardware, n.e.c Heating equipment and plumbing fixtures Sanitary ware and plumbers' brass goods Heating equipment, except electric Fabricated structural metal products Fabricated structural steel Metal doors, saah, frames, and trim Fabricated plate work (boiler shops) Sheet metal work Architectural and miscellaneous metal work... Screw machine products, bolts, etc Screw machine products Bolts, nuts, screws, rivets, and washers Metal atampinga Coating, engraving, and allied services Miscellaneous fabricated wire products Miscellaneous fabricated metal products Valves, pipe, and pipe fittinga MACHINERY Enginea and turbines. Steam engines and turbines Internal combustion engines, n.e.c Farm machinery and equipment Construction and related machinery Construction and mining machinery Oil field machinery and equipment Conveyors, hoists, and industrial cranes Metalworking machinery and equipment Machine tools, metal cutting types Special dies, tools, jigs, and fixtures Machine tool accessories Miscellaneous metalworking machinery Special industry machinery Food products machinery Textile machinery General industrial machinery Pumps; air and gas compressors Ball and roller bearings Mechanical power transmission goods Office, computing,and accounting machines Computing machines and cash registers. Service industry machines Refrigeration, except home refrigerators Miscellaneous machinery 1173 1372 114 105. V* 1141 1213 136 102 10^0 115-48 1286 139 1253 145 12J4 1290 114 120 111 146 IO78 101 IH2 1013 106 1009 109.35 111 91 110 1162 IO8 1178 110 122 1253 1006 101 Hl2 116 1240 138 1370 130.00 1167 122 127.02 H93 1184 18 133.W 1602 1263 1304 118 1176 999 1211 1160 128 127 126 1300 1095 110.30 1177 1158 1465 Hl2 106.01 116 106 102 104 111 117 96.08 H88 117.01 1079 128 110 1276 1290 109 109 112 1177 1270 133-24 139.03 1303 129 1250 1285 1208 129 1460 1405 1656 1302 138 1194 126 102 129 121 130.03 128 1268 131 1111 115 1209 112 134 IO7O 108 Hl6 IO3 101 101 1102 117 92 1159 114 1082 114 1060 1175 126 975 993 108.39 1109 129 1286 133 1262 115-46 126 1250 1191 1172 144 135 161 1207 126 114 1186 96.IO 1203 117.04 121 127 1179 126 1069 1065 110 112 131 IO88 103 119 IOI3 103 109 109.33 Hl8 90 115 118 IO9.O8 110 1065 1177 125 97-75 986 107.04 1090 128 126.07 1294 128 1188 128 1260 1180 1170 1402 1317 160 H88 123 115 117.32 95-26 1190 110 122 124 1161 123 1065 107.30 119 7 0 7 1 4 5 9 1 0 2/T3 6 9 6 2^95 3..O4 2 1 4 8 4 1 2 9 0 9 0 4 6 8 4 0 2 8 3 4 6 7 1 4 2 0 0 1 6 2 1 5 0 6 2 3 2 3-01 1 6 3 0 8 9 0 7 5 2!71 4 3 ^ 6 3 3 9 0 9 1 4 9 1 4 0 4 0 6 5 4 7 1 7 4 8 5 3-11 0 3 2 5 5 8 6 4 2 2 4 1 4 3 1 1 1 9 7 0 2 6 8 3.O8 0 8 8 7 8 6 6 2 1 7 3 0 5 9 9 1 5 9 8 2 6 1 3 8 6 1 3 2 9 8 5 4 8 2 1 7 8 4 7 3 3 1 8 8 1 8 8 6 7 5 6 0 1 8 i:s 3 0 4 8 9 0 3 7 7 9 3-33 9 5 8 6 0 5 0 7 6 3 3 6 0 9 5 5 4 6 2 2 1 3 0 See footnotea at end of table. NOTE: Data for the 2 moat recent months are preliminary.
37 ESTABLISHMENT DATA HOURS AND EARNINGS TabU C-2: Gross hours and arnings of production workers} by industry Continued Industry Average weekly hours Average overtime hours Durable Goods-Continued PRIMARY METAL INDUSTRIES Blast furoace and basic steel products Blast furnaces, steel and rolling mills Iron and steel foundries Gray iron foundries Malleable iron foundries Steel foundries Nonferrous smelting and refining Nonferrous rolling, drawing and extruding Copper rolling, drawing, and extruding Aluminum rolling, drawing, and extruding Nonferrous wire drawing and insulating Nonferrous foundries Aluminum castings Other nonferrous castings Miscellaneous primary metal industries Iron and steel forgings 4 40 4 4 4 4l 4 44 4 45 4 4 4 4 4 4 4 4 40 40 4 4 4 4 4 4 4 44 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 41 4 4 4 4 4 40 4 43.O 4 4 4l.O 4 4 4 4 4 4 4 4 4 4 5-9 3-0 3-9 3-8 1 3-2 FABRICATED METAL PRODUCTS Metal cans Cutlery, hand tools, and general hardware Cutlery and hand tools, including saws Hardware, n.e.c '. Heating equipment and plumbing fixtures Sanitary ware and plumbers' brass goods Heating equipment, except electric Fabricated structural metal products Fabricated structural'steel Metal doors, sash, frames, and trim Fabricated plate work (boiler shops) Sheet metal work» Architectural and miscellaneous metal work Screw machine products, bolts, etc Screw machine products Bolts, nuts, screws, rivets, and washers Meta-1 stampings Coating, engraving, and allied services. Miscellaneous fabricated wire products Miscellaneous fabricated metal products Valves, pipe, and pipe fittings 4 4 4l.T 40 4 4 4 4 4 41 4 40 40 4 39 39 38 40 4 39 40 4 39 4 43.I 4 4 4 4 4 4 4 4 4 4 4 40 39 40 4 40 40 4 4 39 4 4 4 4 4 4 4 43.O 41 4 4 40 40 40 4 4 40 4 40 4 4 4 4 40 4 40 4 41 4 4 4 4 39 39 39 4 4 40.0 4 4 40 4 4 4 4 40 40 40 40 5 3-2 1 4 8 1 5 " 3-7 3-2 3-2 3-1 i.e MACHINERY Engines and turbines Steam engines and turbines Internal combustion engines, n.e.c Farm machinery and equipment Construction and related machinery Construction and mining machinery Oil field machinery and equipment Conveyors, hoists, and industrial cranes Metalworking machinery and equipment Machine tools, metal catting types Special dies, tools, jigs, and fixtures Machine tool accessories Miscellaneous metalworking machinery Special industry machinery Food products machinery Textile machinery General industrial machinery Pumps; air and gas compressors Ball and roller bearings Mechanical power transmission goods Office, computing,and accounting machines Computing machines and cash registers Service industry machines Refrigeration, except home refrigerators Miscellaneous machinery 4 41 4 4 4 4 4 4 4 4 4 40 40 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 40 40 4 4 4 41 4 4 4 4 4 4 46 4 48 4 4 4 4 4 43.O 4 4 4 4 4 4 4 4 4 4 39 4 40 4 4 44 4 4 4 48 4 4 4 4 4 4 4 41 4 40 39 4 4 4 4 40 38 4 41 4 4 4 4 4 4 48 4 4 4 4 4 4 4 4 4 39-9 39 40 40 4 6 " 7 4 " "5 6 "4 6 " See footnotes at end ot table. NOTE: Data for the 2 most recent months are preliminary.
ESTABLISHMENT DATA HOURS AND EARNINGS 38 Table C-2: Gross hours and earnings of production workers] by industry Continued Average weekly earnings Average hourly earnings Industry Apr, Durable Goods-Continued ELECTRICAL EQUIPMENT AND SUPPLIES Electric distribution equipment Electric measuring instruments Power and distribution transformers Switchgear and switchboard apparatus Electrical industrial apparatus Motors ami generators Industrial controls Household appliances Household refrigerators and freezers Household laundry equipment Electric housewares and fans Electric lighting and wiring equipment Electric lamps Lighting fixtures Wiring devices Radio and TV receiving sets Communication equipment Telephone and telegraph apparatus Radio and TV communication equipment Electronic components and accessories Electron tubes Electronic components, n.e.c Miscellaneous electrical equipment and supplies... Electrical equipment for engines TRANSPORTATION EQUIPMENT Motor vehicles and equipment Motor vehicles Passenger car bodies Truck and bus bodies Motor vehicle parts and accessories Aircraft and parts Aircraft Aircraft engines and engine parts Other aircraft parts and equipment Ship and boat building and repairing Ship building and repairing Boat building and repairing Railroad equipment Other transportation equipment INSTRUMENTS AND RELATED PRODUCTS Engineering and scientific instruments Mechanical measuring and control devices Mechanical measuring devices Automatic temperature controls Optical and ophthalmic goods. Surgical, medical, and dental equipment Photographic equipment and supplies Watches and clocks MISCELLANEOUS MANUFACTURING INDUSTRIES Jewelry, silverware, and plated ware Toys, amusement, and sporting goods Toys, games, dolls, and play vehicles Sporting and athletic goods, n.e.c Pens, pencils, office and art materials Costume jewelry, buttons, and notions Other manufacturing industries $101 113 118 113_9 982 902 117 886 IH3 1361 144 135 1218 107.01 1074 92 903 1287 86 96 909 $107 1100 1178 1168 112 n4.iio 1087 111 122 1088 999 97-04 0 993 93 897 116 1102 111 864 ioio 85 111 1186 131 141 152 157 112 148 1256 121 126 1276 1208 1267 977 124 88.30 108 114 106 1068 IOI5 956 877 1287 88 80 92 741 709 80.00 809 79.00 882 $103 112 999 1194 1192 116 118 1081 111 1246 III6 990 981 100 105 90 909 112 1181 1J 89.35 107 84 H66 126 1384 1508 159.37 1501 1096 1^71 1284 126.05 136 1276 1190 120 92 1294 878 107.38 128 1072 1088 100 976 892 1283 877 80 95 755 71 81 809 800 96 $1016 1106 98.IK) 119 1176 109.30 110 100 107.33 1151 1162 96 92 98.31 986 99 89 118 113 1106 89 975 818 1088 110 1297 1377 1395 lto3 1065 1387 123 120 126 127.37 127 1284 98 1267 97 106 1171 103 106 1000 98 875 1195 81 85 907 76 694 781 780 770 871 $105 1098 977 113 1171 109.03 HO6 105.H 1070 119 1105 99 94 980 96.k& 90 80 1100 117 1096 89 987 808 1087 110 129.36 139 145 1384 1067 1363 122 121 124 1262 1209 1277 96 128.33 94 106 118.03 103 1065 995 91 83 1189 88 86 90.09 741 709 79.00 780 77.^1 890 $8 5 1 7 3 8 1 9 7 9 1 8 1 2 2 5 3 3 0 8 $7 2 8 1 5 0 5 2 6 5 7 7 2 0 5 4 1 8 8 8 9 1 0 8 2 8 1 2 7 8 8 0 2 1 3 7 1 6 8 7 0 5 1 3 8 3 2 3 7 2 9 I9 1 4 9 6 $7 3 7 0 8 0 5 2 6 8 1 4 l 0 6 3 8 0 4 8 9 6 1 0 4 0 3 2 6 6 0 1 2 5 3 7 1 2 8 5 0 9 2 3 9 3 3 1 7 3 8 4 I9 2 4 9 8 $2 0 6 4 4 4 9 8 9 0 9 5 9 7 3 1 1 3 5 2 4 9 6 9 4 8 9 6 3 9 9 3 1 8 9 7 2 1 3 6 2 9 5 8 1 7 7 9 3 8 4 0 16 7 0 3 2 $1 9 5 3 2i64 9 7 7 5 5 5 7 2.U6 o 0 3 2 4 1 3 9 5 8 3 8 7 5 2 9 7 2 2 6 7 8 4 7 3 6 2 0 5 9 0 4 6 9 4 9 3 2 17 8 0 4 3 Nondurable Goods FOOD AND KINDRED PRODUCTS Meat products Meat packing Sausages and other prepared meats Poultry dressing and packing 102 1073 99.05 102 123 110.00 55^96 988 1044 121 1087 58 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary. 980 102 120 lll.ll 571 966 108 1206 1092 552 7 1 7 2 6 5 15 5 1 4 0 14 0 5 9 1 12 9 5 8 0 11
Table C-2: Gross hours and earnings of production workers, 1 by industry Continued ESTABLISHMENT DATA HOURS AND EARNINGS Average weekly hours Average overtime hours Industry Durable Goods Continued ELECTRICAL EQUIPMENT AND SUPPLIES Electric distribution equipment Electric measuring instruments Power and distribution transformers Switchgear and switchboard apparatus Electrical industrial apparatus Motors and generators Industrial controls Household appliances Household refrigerators and freezers Household laundry equipment Electric housewares and fans Electric lighting and wiring equipment Electric lamps Lighting fixtures Wiring devices Radio and TV receiving sets Communication equipment Telephone and telegraph apparatus Radio and TV communication equipment Electronic components and accessories Electron tubes Electronic components, n.e.c Miscellaneous electrical equipment and supplies... Electrical equipment for engines TRANSPORTATION EQUIPMENT Motor vehicles and equipment Motor vehicles Passenger car bodies Truck and bus bodies Motor vehicle parts and accessories Aircraft and parts Aircraft Aircraft engines and engine parts Other aircraft parts and equipment Ship and boat building and repairing Ship building and repairing Boat building and repairing Railroad equipment Other transportation equipment INSTRUMENTS AND RELATED PRODUCTS Engineering and scientific instruments Mechanical measuring and control devices Mechanical measuring devices Automatic temperature controls Optical and ophthalmic goods. Surgical, medical, and dental equipment Photographic equipment and supplies Watches and clocks MISCELLANEOUS MANUFACTURING INDUSTRIES Jewelry, silverware, and plated ware Toys, amusement, and sporting goods Toys, games, dolls, and play vehicles Sporting and athletic goods, n.e.c Pens, pencils, office and art materials Costume jewelry, buttons, and notions Other manufacturing industries 40 4 40 40 39 40 40.3 40.3 4 4 40 4 4 4 40 4 39 40 39 40.3 to 39 4l 40 4 4 4 to 4 39 to to.i 4o.o to 39 38 40 39 to 39 to 39 4o to 4 4 44 4 41 4 4o 4o.l 4o 4 4o 4o 4 39 38 to.3 39 4o.l 4o 39 4l.l 39 4 39.3 39 to 38 37 39 39 39 39.3 l.l 4 4o 4 41 4 4 4l 4i 39-7 to. 9 4i.o to 4l to 39 4i 4l.l 4o 4l to 4 4 4 4 1*6 4 4 4 4 to 4 4 4o.l 4o.o to 4o 39 4 4 4i.o 4 to. 5 4 to.i 4 to to.o to 39 38 to 39 to to.3 to to.o to 41 4i 4 4l 39 39 39.3 to.3 39 to to.3 38 to 4l.l to 39 to 39 to to 4 4 4 4 4i.i 4 to to to 4 4i.i 4 to to 4 to to to to to 4 to.3 4 39.3 39 to.3 38 37 39 39 to.o 39 to.3 to 39 4i.o 4 4 4i.i to to.3 to.i to 39 to.i to.o to to.o 38 to to 39 4 39 to to 4 4 4 4 4 4 4l.o to to 4 to to to 4i.o 4 to to to 4i.i 39 4 to 4i.o 38 39 to 38 37 39 39 39 to.o 1 5 1 1 u 1 1 7-0 1 i-9 1-9 1 1 2,3 3. 1 1 i-9 2^3 1 nondurable Goods POOD AND KINDRED PRODUCTS Meat products Meat packing Sausages and other prepared meats Poultry dressing and packing 40 4 4o.i 40 to.o 36 to 39 41 to.i 35-7 4i.o 4 4 4l.o 37 to to 4 to 36 See footnotes at end of table. NOTE: Data tot the 2 most recent months are preliminary. 777-676 O-65 6
ESTABLISHMENT DATA HOURS AND EARNINGS ho Table C-2: Gross hours and earnings of production workers) by industry--continued Average weekly earnings Average hourly earnings Industry Nondurable Goods-Continued POOD AND KINDRED PRODUCTS- Continued Dairy products Ice cream and frozen desserts Fluid milk Canned and preserved food, except meats.... Canned, cured and frozen sea foods Canned food, except sea foods Frozen food, except sea foods Grain mill products Flour and other grain mill products Prepared feeds for animals and fowls Bakery products Bread, cake, and perishable products Biscuit, crackers, and pretzels Sugar Confectionery and related products Candy and other confectionery products Beverages Malt liquors Bottled and canned soft drinks Miscellaneous food and kindred products TOBACCO MANUFACTURES. Cigarettes Cigars TEXTILE MILL PRODUCTS Cotton broad woven fabrics Silk and synthetic broad woven fabrics. Weaving and finishing broad woolens... Narrow fabrics and smallwares. Knitting. Full-fashioned hosiery Seamless hosiery. Knit outerwear Knit underwear Finishing textiles, except wool and knit Floor covering Yarn and thread. Miscellaneous textile goods $105;25 110.00 99-20 8^3 114 98.09 801 763 798 86 81 78 67.3^ 88 73 861 $105 IOI5 109X6 769 571 82 75-79 1101 1189 9^.32 98o 1000 906 110. to 818 770 111 1465 86 961 786 9^7 597 73 773 800 88 73 662 61 62 680 67 816 775 75 85 $100 103 1098 79-^6 680 83 72 109.00 116.07 90 985 99-35 90 119 82 787 1105 11 798 97-02 79-61 975 67 761 79-00 86 83A2 72 676 669 63 703 649 87 79-79 74 874 $105 108 107-53 78.ll 69 844 76 107.04 1209 98 9O 985 918 117 807 76 1085 1375 85 964 807 95 667 75 72 789 776 71 645 63.O8 60.00 676 613 85 73-71 667 82 $1004 982 105 74 69 89 751 104 IH.36 896 954 97-12 897 107.33 796 748 IO84 1385 79.30 97 8O8 9^6 67AO 73 78 78.OI 761 76 66 640 599 678 65 808 79 64 80 $2.^0 0 8 4 6 3 9 14 15 I9 4 I3 4 9 0 6 $0 4 0 9 12 6 I9 3 8 1 6 9 6 6 3 5 8 3-63 7 2 0 8 1 13 I3 I7 2 11 4 2 6 12 5 7 I5 9 5 $0 8 1 8 I9 2 17 0 5 2 6 9 8 1 0 3 7 3-59 1-97 1 4 3 0 14 15 1 11 1 1 1 1 1 81 74 74 67 82 65 9 16 0 6 $3 5 3 5 1-97 0 3 8 9 2 8 7 4 4 9 0 1-93 9 4 7 6 1-77 6 11 16 8 8 6 0 I6 19 4 12 1 1 $1 4 0 6 2 7 0 2 6 4 8 1 7 7 4 4 1 3.V7 2 6 4 7 6 6 4 11 I5 8 I9 I7 1 8 1 1-93 11 1 0 APPAREL AND RELATED PRODUCTS Men's and boys' suits and coats Men's and boys ' furnishings Men's and boys' shirts and nightwear Men's and boys' separate trousers Work clothing Women's, misses', and juniors' outerwear Women's blouses, waists, and shirts Women's, misses', and juniors' dresses Women's suits, skirts, and coats Women's and misses' outerwear, n.e.c Women's and children's undergarments Women's and children's underwear Corsets and allied garments Hats, caps, and millinery Girls' and children's outerwear Children's dresses, blouses, and shirts Fur goods and miscellaneous apparel Miscellaneous fabricated textile products Housefurnishings. PAPER AND ALLIED PRODUCTS Paper and pulp Paperboard Converted paper and paperboard products. Bags, except textile bags Paperboard containers and boxes Folding and setup paperboard boxes... Corrugated and solid fiber boxes 658 81 58.06 67 : 77 59 : 17 612 70 116 128 1289 99-48 IOI2 60 783 566 56.02 592 51 656 56^ 68.01 705 614 57-73 55 63.OI 669 576 57-^ 61 70.31 606 1092 122 1250 966 905 99.39 88.36 1053 672 808 585 578 609 567 76 588 75 85 63 62 589 659 77 60 69 672 741 65 117 122 1283 99.07 90 1017 97 1094 64 765 5^ 55 567 543 665 53 663 75 62 584 550 61 668 584 57-48 658 700 595 1086 120.01 124 957 889 998 875 1088 68 70 54 50 566 55 676 566 703 72 61 588 566 66 67.32 50 560 62 707 6O.38 1073 120.01 1215 97 877 98.36 88.07 1065 10 3 14 1-97 I3 8 4 2 4 9 8 5 9 1 1-53 11 16 8 6 1 3 5 0 4 17 I6 0 4 6 18 18 6 0 2 5 6 5 3 2 6 12 1 15 13 17 9 1 9 3 1 2 5 19 1-77 7 I9 9 16 1 6 1 3 6 7 5 3 4 7 7 0 12 10 14 7 4 3 1 3 7 3 1-55 8 14 1 1 12 14 1 4 4 6 1 8 8 8 1 8 0 12 10 13 8 5 5 5 0 9 3 16 8 I7 0 2 9 15 1 3 4 5 1 7 7 8 0 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.
Table C-2: Gross hours and earnings of production workers) by industry Continued ESTABLISHMENT DATA HOURS AND EARNINGS Industry Average weekly hours 19614- Average overtime hours Nondurable Goods-Continued POOD AND KINDRED PRODUCTS-Continued Dairy products Ice cream and frozen desserts Fluid milk Canned and preserved food, except meats Canned, cured and frozen sea foods Canned food, except sea foods Frozen food, except sea foods Grain mill products Flour and other grain mill products Prepared feeds tor animals and fowls Bakery products Bread, cake, and perishable products Biscuit, crackers, and pretzels Sugar Confectionery and related products Candy and other confectionery products Beverages Malt liquors Bottled and canned soft drinks Miscellaneous food and kindred products TOBACCO MANUFACTURES. Cigarettes Cigars 1+ M+.O 1+0.0 39j5 1+ 1+ 36 1+ i+o.i 1+ 36 3 37.0 1+0 1+3-8 kk.k 1+1+ 1+0.0 1+0+ 38 1+0.0 38.3 37 1+0+ 1+0+ 1+ 1+ 35 36 31+ 1+1 39 1+ 38 36+ 38.3 1+0 1+ 1+ 1+1+ 39 39 1+0.0 1+ 39 38 39 39 1+0 1+ 37 38+ 36 1+ H 1+ 38 3 39 39-6 1+1+ ^5 1+6.0 1+0 1+0 1+0.3 1+ 39.3 39.0 1+0 39.3 1+ 1+ 39.3 39 1+0 1+1 1+0 1+ 37-3 3 38 39 1+ 1+ l+l+.l 1+0 1+0.3 39 1+0 39 38 1+0 1 1+1 39 39 1+0 3-1 + 3-3 + l+.l + + 6+ 3-2 1 + + 1 3-1 1 TEXTILE MILL PRODUCTS Cotton broad woven fabrics Silk and synthetic broad woven fabrics, Weaving and finishing broad woolens Narrow fabrics and smallwares Knitting. Full-fashioned hosiery Seamless hosiery. Knit outerwear, Knit underwear Finishing textiles, except wool and knit, Floor covering, Yarn and thread. Miscellaneous textile goods 1+ 1+ 1+1+.0 1+ M.3 38 1++ 1+ 1+1 1+ 1+ 1+ 1+ 1+0 38.O 37 37-0 37 38 1++ 1+ 1+ 1+ 1+1 1+ 1+1+.0 1+ M 39.0 38 38 38 38 1+ 1+ 1+ 1+ 1+ 1+ 1+ 1+ 1+ 38 38.O * 1+ 1+0 1+ 41 1+0 1+ 1+ 1+ 1+ 38 38 37 37 38 1+ 1+ 1+0+ 1+0 3-5 *.3 k l+.o 1+ 1++ l+.l 5 + 1+ 1+ l+.l *-3 k.d 3-6 l+.l 3-3 1+ 3-0 1+ 3-5 3-1 APPAREL AND RELATED PRODUCTS Men's and boys' suits and coats Men's and boys ' furnishings Men's and boys' shirts and nightwear.. Men's and boys' separate trousers Work clothing Women's, misses', and juniors' outerwear. Women's blouses, waists, and shirts... Women's suits, skirts, and coats Women's and misses' outerwear, n.e.c.. Women's and children's undergarments... Women's and children's underwear.... Corsets and allied garments Hats, caps, and millinery Girls' and children's outerwear Children's dresses, blouses, and shirts. Fur goods and miscellaneous apparel... Miscellaneous fabricated textile products. Housefurnishings. 36 38 37 3I++ 3 3 38+ 35 37 37 37 37 36 33-6 3 3 3+ 36 3 3 35 3 3 *6 37 A 36 37-9 37 38+ 37-9 3 3^ 3 3^ 38 37 37 37.0 37 37 36 3 38 37 3 36 3 8 33-7 3 33-7 37 36 36.0 3 36+ 3 35 36 38 3 36.0 36.0 3 36.U 36 37 3I+ 31++ 3I+ 33-1 37-^ 36.0 36.0 36 36.O 35-5 35-0 3 38 37 1 1-5 + 1 PAPER AND ALLIED PRODUCTS Paper and pulp Paperboard Converted paper and paperboard products Bags, except textile bags Paperboard containers and boxes Folding and setup paperboard boxes Corrugated and solid fiber boxes 1+ 1+1+ kk 1+1 1+ 1+ 1+ l+i+.o 1+ 1+0 1+0,39-8 1+ 1+ 1+1+.0 1+1+ 1+1 1+ 1+1 1+0 1+ 1+ 1+ i+i+.o M 1+0 1+1 1+0.3 1+ 1+ 1+1+ 1+ 1+0+ M 1+0+ 1+ l+.l 1+ 6.0 l+.l 5 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.
ESTABLISHMENT DATA ua HOURS AND EARNINGS Table C-2: Gross hours and earnings of production workers, by industry Continued Average weekly earnings Average hourly earnings Industry tfar. Nondurable Goods Continued PRINTING, PUBLISHING, AND ALLIED INDUSTRIES Newspaper publishing and printing Periodical publishing and printing Books Commercial printing Commercial printing, except lithographic Commercial printing, lithographic Bookbinding and related industries Other publishing and printing industries $117.04 1202 1197 910 1198 $117 117.03 128 1074 1188 1160 121 905 119.35 $1166 118 1272 110.09 128 1179 1297 94 121 $115 1182 1171 1069 116.03 110 128 894 1169 $116 1166 120 107.38 114 111 120.38 896 1176 $4 0 4 6 9 $2 6 6 2 3 0 1 5 0 $3 6 0 4 6 1 7 6 0 $7 3 8 l 6 1 6 0 1 $6 0 0 0 5 0 4 1 3 CHEMICALS AND ALLIED PRODUCTS Industrial chemicals Plastics and synthetics, except glass Plastics and synthetics, except fibers Synthetic fibers Drugs Pharmaceutical preparations Soap, cleaners, and toilet goods Soap and detergents Toilet preparations Paints, Tarnishes, and allied products Agricultural chemicals Fertilizers, complete and mixing only Other chemical products 1199 1365 1195 102 1087 111 103 116.05 1202 1388 1214 1316 1103 102 994 108.00 129.36 893 1107 107 1004 118 1189 132 1198 1290 1082 106.08 1000 1091 138 893 112 970 945 115 1160 130.31 1158 1253 105 101 977 1070 1290 89 1102 IOO6 99.30 114 Ilo 1297 118 129 100 1011 977 107.06 128.33 81 1107 94 96 1102 5 3 2 0 1 3 6 5 4 7 2 9 l 8 2 0 1 0 0 8 9 4 3 0 0 7 8 0 2 1 0 1 0 2 3 5 8 4 5 4 0 4 7 7 3 3 4 0 4 7 5 2 4 2 0 2 5 5 3 1 5 3 5 6 PETROLEUM REPINING AND RELATED INDUSTRIES.... Petroleum refining Other petroleum and coal products 138 16 116 1390 147o 1090 136 1405 112 134 1374 112 1302 1360 1081 3 1 2 8 6 0 4 1 0 7 4 7 7 3 4 RUBBER AND MISCELLANEOUS PLASTIC PRODUCTS... Tires and inner tubes Other rubber products Miscellaneous plastic products LEATHER AND LEATHER PRODUCTS Leather tanning and finishing Foot wear, except rubber Other leather products 1079 1508 104 905 76 98.36 683 69.36 100 147.32 994 881 695 963 669 60 IO88 156 102 94 73 969 696 684 104 18 99.31 896 683 92 66.02 60 105 139 977 894 663 99 64 67 8 8 9 9 I7 7 12 I3 6 5 7 8 18 7 12 13 9 9 8 0 I7 6 12 11 3 7 4 5 12 2 7 5 0 0 2 5 12 1 7 6 TRANSPORTATION AND PUBLIC UTILITIES: RAILROAD TRANSPORTATION. Class I railroads 1177 1198 8 6 LOCAL AND INTERURBAN PASSENGER TRANSIT. Local and suburban transportation Intercity and rural bus lines. 1065 1319 106 1277 105 127 109 127 6 6 4 3 8 5 7 5 MOTOR FREIGHT TRANSPORTATION AND STORAGE. 120 122 127 1207 0 1 3 1 PIPELINE TRANSPORTATION. 143 146 145 1 8 9 2 COMMUNICATION. # Telephone communication Switchboard operating employees' Line construction employees4... Telegraph communication' Radio and television broadcasting. ELECTRIC, GAS, AND SANITARY SERVICES. Electric companies and systems Gas companies and systems Combined utility systems Water, steam, and sanitary systems... 109 794 149Y 1208 144 1298 137 1178 16 101 100 798 150.30 117.32 1476 128.33 1296 1166 lul2 109 108 796 1471 110 1388 1242 1268 111 132 993 109 767 140 112 1381 121 125 118 135 992 8 9 7 0 0 5 9 2 1 1 7 9 7 8 0 2)89 1 9 2 7 2 3 6 2 6 2 7 3 9 3 1 0 4 1 4 0 5 2 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.
Table C-2: Gross hours and earnings of production workers) by industry Continued ESTABLISHMENT DATA HOURS AND EARNINGS Average weekly hours Average overtime hours Industry 64 64 S on durable Goods-Continued PRINTING. PUBLISHING, AND ALLIED INDUSTRIES Newspaper publishing and printing Periodical publishing and printing Books Commercial printing Commercial printing, except lithographic Commercial printing, lithographic Bookbinding and related industries Other publishing and printing industries 38 36 39.3 38 38 38.3 3 39 1+ 39 38 1+0 38 38 38 35 1+ 1+ 39 39 1+ 39.0 39 38 36 39 1*0 39 38 39 38 38 38 3 1*O.U 1* 39 38 39 38 38 4 CHEMICALS AND ALLIED PRODUCTS Industrial chemicals Plastics and synthetics, except glass Plastics and synthetics, except fibers Synthetic fibers Drugs Pharmaceutical preparations Soap, cleaners, and toilet goods Soap and detergents Toilet preparations Paints, rarnishes, and allied products Agricultural chemicals Fertilizers, complete and mixing only Other chemical products. PETROLEUM REPINING AND RELATED INDUSTRIES. Petroleum refining Other petroleum and coal products RUBBER AND MISCELLANEOUS PLASTIC PRODUCTS. Tires and inner tubes Other rubber products Miscellaneous plastic products, LEATHER AND LEATHER PRODUCTS Leather tanning and finishing.. Footwear, except rubber Other leather products 1+ 4 14-14-0 40 1+ 1+ 1+ 1+ 1+ 4 4 4 38.O 41 37 37 1++ 1+ 4 4 1+ to. 2 39 to.o 1+0.3 39 1+ 1+7 48 1+ 1+ 1+ 1+ to 1+ to. 3 to 37 to 36 36 1+1 1+ 1+ 1+ 1+ l»0 to.o 1+0.3 1++ 38 1+ i+i+.i 1+1+ 4l 1+1 1+ 1+ 1+ 1+1+.0 1+ 1+ 38 2»0 38.0 37 1+1 1+1 1+ 1* 1*1 to 39 to.3 1*1 37 1* 1*5 46 1+ 1+ 1* 1* 1** 1* 1+0 1+ 37 Ul.O 37.3 37 1* 1** 1* 1* 1* 1*0 39 40 1* 38 4 4 4 4 to 4 to to.3 1*0 4 36 to 3 3 4 6.0 1 7 6 1 TRANSPORTATION AND PUBLIC UTILITIES: RAILROAD TRANSPORTATION: CIMSS I railroads 1+* 4 LOCAL AND INTERURBAN PASSENGER TRANSITi Local and suburban transportation Intercity and rural bus lines. 1+ 16 1++ 1+ 1* 1* 4 4 MOTOR FREIGHT TRANSPORTATION AND STORAGE. 1+ 1* 1+1 41 PIPELINE TRANSPORTATION. 1+1 to 1* 4 COMMUNICATION! Telephone communication #, Switchboard operating employees'., Line construction employees * Telegraph communication', Radio and television broadcasting... ELECTRIC. GAS, AND SANITARY SERVICES Electric companies and systems Gas companies and systems Combined utility systems Water, steam, and sanitary systems... 39-4 36 1+1+ 1+ 39 1+ 1+* to.3 4 4l 39-4 36 4 1+ 39 1+ 1+ 1+0+ 1*1 1+ See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary. 39 3 1+1*. 1* 1+ 38 1* 1** to. 5 1* 1* 39.3 3 1* 4 39 4i.o 4 to 4i.o 4i.o
ESTABLISHMENT DATA HOURS AND EARNINGS hk TabU C-2: Orott hours and ornings off production workort} by induttry»continu«d Avenge weekly earnings Avenge hourly earnings Industry 6^ WHOLESALE AND RETAIL TRADE 4 WHOLESALE TRADI Motor vehicles sod automotive equipment. Drugs, chemical*, and allied products... Dry goods snd sppsrel Groceries snd related products Electrical goods Hardware, plumbing, and heating goods.. Machinery, equipment, and supplies RETAIL TRADI 1 General merchandise stores... Department stores Limited price variety stores Food stores Grocery, meat, and vegetable stores. Apparel and accessories stores Men's snd boys' apparel stores Women's ready-to-weax stores Fsmily clothing stores Shoe stores Furniture and appliance stores Other retsil trade Motor vehicle dealers Other vehicle and accessory dealers. Drug stores $85 105 98.^7 107.33 996 97-34 117.03 994 114 70 584 65 44 69.O8 705 562 691 57 54 57.06 868 81 104*8 83 601 $804 101 984 107*6 993 960 1203 994 111 706 579 6*6 43 68.07 692 51 672 493 57 51 859 8*0 106 81 60.36 $796 107 966 1042 97 960 Hl5 989 116 695 564 68 40.30 678 68*0 54 673 492 540 50 82 80.34 IOI7 82 599 $79.07 101 952 100 96 96.05 110 974 109.34 699 50 604 405 64 680 53 662 490 54 52 81 793 998 840 596 $3 9 5 7 4 8 2 8 8 3 1 I5 7 2 6 8 1 12 1 10 8 1 8 5 1 $3 8 5 6 4 7 2 7 6 2 7 2 6 5 18 11 19 9 5 0 4 4 1 $8 3 1 9 9 3 1 2 3 I7 6 11 0 7 0 4 14 9 1 5 0 5 1 5 I7 $7 1 9 0 2 2 9 0 8 16 4 9 9 6 0 2 14 7 0 1 9 4 7 2 6 FINANCE, INSURANCE, AND REAL ESTATE: Banking Security dealers and exchanges 7. In sunn ce carriers 7, Life insurance 7. Accident and health insurance 7 Fire, marine, and casualty insurance 7 79.08 1302 95 957 86 98 780 1289 948 96 84 964 766 120 97 90 83 97 70 124 915 98 81 99 2 1 5 4 SERVICES AND MISCELLANEOUS: Hotels snd lodging places: Hotels, tourist courts, snd motels*... Personal services: Laundries, cleaning and dyeing plants Motion pictures: Motion picture filming snd distributing. 1*89 585 139.30 496 568 1383 49.02 569 136 1*89 1132 1 10 2 8 7 4 6 3 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.
Tabl«C-2: Orots hours and arnings of production workers] by industry Continued ESTABLISHMENT DATA HOURS AND EARNINGS Average weekly hours Average overtime hours Industry I965 I96I+ Apr, 6 64 WHOLESALE AND RETAIL TRADE 4 38 38.0 38.3 38 WHOLESALE TRADE Motor vehicles and automotive equipment. Drugs, chemicals, and allied product*... Dry goods and apparel Groceries and related products Electrical goods Hardware, plumbing, and heating goods.. Machinery, equipment, and supplies.... RETAIL TRADE* General merchandise stores Department stores Limited price variety stores, Food stores Grocery, meat, and vegetable stores... Apparel and accessories stores Men's and boys' apparel stores Women's ready-to-wear stores Family clothing ttotea Shoe stores Furniture and appliance stores.. Other retail trade Motor vehicle dealers Other vehicle and accessory dealers... Drug stores 1*0 in. 9 1+0 37 1+0,9 Ul. 5 I4O.3 1+ 37 3*+.O 3 3 k 3 36 3 3 3 39 1*0 H 1+* 3 1*0 1* 1*0* 37 1*0 1* 1*0.3 1* 3 3 33.^ 30 3 3 33.U 35 3 3 3 39 1* 1* 3 1+0 1+1 1*0 37 kl 1* 1*0 1+0 37.3 31+.0 3 3 31+ 31+ 3 36 3 3 30 1*0 1+ 1*4!+ 35 1*0 1*1 1*0.0 37 1*+ 1* 1*0 1*0 37 3 3 3 31+ 3U 3 36 3+ 3+ 3 1+0 1+ i*i+.o 1+ 35 FINANCE, INSURANCE, AND REAL ESTATE: Banking Security dealers and exchanges Insurance carriers Life insurance Accident and health insurance Fire, marine, and casualty insurance 37.3 37.3 37. SERVICES AND MISCELLANEOUS: Hotels and lodging places: Hotels, tourist courts, and motels 8... Personal services: Laundries, cleaning and dyeing plants Motion pictures: Motion picture filming and distributing. 37.^ 39.3 37 38 38 39.3 38 'For mining and manufacturing, data refer to production and related workers; for contract construction, to construction workers; and for all other industries, to nonsupervisory workers. 2 Not available. 3 Data relate to employees in such occupations in the telephone industry as switchboard operators; service assistants; operating room instructors; and pay-station attendants. In 1963, such employees made up 32 percent of the total number of nonsupervisory employees in establishments reporting hours and earnings data. 4 Data relate to employees in such occupations in the telephone industry as central office craftsmen; installation and exchange repair craftsmen; line, cable, and conduit craftsmen; and laborers. In 1963, such employees made up 31 percent of the total number of nonsupervisory employees in establishments reporting hours and earnings data. Revised data: December -^1578, $1, and 4; January -11508, $7, and 44; February -$1508, $7, and 44. Data relate to nonsupervisory employees except messengers. Data exclude eating and drinking places. Data exclude earnings of nonoffice salesmen. Money payments only; additional value of board, room, uniforms, and tips, not included. Telephone Communication - Revised data: December - $1088, $9, and 40; January - $1063, $7, and 39; - February - 107.07, $7, and 40. N0T3: Data for the 2 :nost recent months are preliminary.
ESTABLISHMENT DATA HOURS AND EARNINGS U6 Table C-3: Average hourly earnings excluding overtime of production workers on manufacturing payrolls, by industry MANUFACTURING Major industry group, $0 Average hourly earnings excluding overtime' Apr, $1 $9 $4 Apr, $4 DURABLE GOODS 7 7 6 1 1 Ordnance and accessories Lumber and wood products, except furniture Furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Machinery Electrical equipment and supplies Transportation equipment Instruments and related products Miscellaneous manufacturing industries... 9 9 1 0 4 3 9 0 4 2 6 0 7 1 8 3 1 9 9 2 2 6 3 5 5 2 9 8 5 6 6 6 2 1 3 7 2 9 8 4 5 5 5 3 NONDURABLE GOODS 6 6 5 1 1 Food and kindred products Tobacco manufactures Textile mill products Apparel and related products Paper and allied products Printing, publishing, and allied industries. Chemicals and allied products Petroleum refining and related industries.. Rubber and miscellaneous plastic products heather and leather products 7 8 5 6 8 4 8 6 15 6 1 5 8 7 4 5 7 12 0 0 0 4 1 8 8 2 9 0 9 0 4 1 6 9 1 9 1 Derived by assuming that overtime hours are paid at the rate of time and one-half. 2 Not available as average overtime rates are significantly above time and one-half. Inclusion of data for the group in the nondurable goods total has little effect. NOTE: Data for the 2 most recent months are preliminary. Table C-4: Gross and spendable average weekly earnings in selected industries, in current and 1957-59 dollars 1 Industry Gros Apr Mai earnings Apr Worker with no dependents Mar Spendable average weekly earnings Worker with three dependents Maro Apr MINING: Current dollars 1957-59 dollars $121. 18 110. 87 $120, 47 110, 52 $115. 64 107. 27 $3 912 $99. 46 91. 25 $99 876 $1089 99.08 $107. 69 98. 80 $102. 64 95. 21 CONTRACT CONSTRUCTION: Current dollars 1957-59 dollars 132. 49 121. 22 133,59 122 56 130. 24 120. 82 1090 992 109. 98 100. 90 100 984 1177 1074 118. 80 108. 99 114. 87 106. 56 MANUFACTURING: Current dollars 1957-59 dollars 105. 82 96. 82 107 2 98 28 102. 47 95. 06 871 805 88. 75 81. 42 81 773 94 873 96. 43 88. 47 91. 77 85. 13 WHOLESALE AND RETAIL TRADE: 2 Current dollars 1957-59 dollars -. 81. 15 74. 25 80 4 74 6 79. 07 73. 35 677 60 67. 71 62. 12 653 600 749 682 74. 71 68. 54 72. 78 67. 51 'For mining and manufacturing, data refer to production and related workers; for contract construction, to construction workers; for wholesale and retail trade, to nonsupervisory workers. 2 Data exclude eating and drinking places. NOTE: Data for the current month are preliminary.
U7 ESTABLISHMENT DATA HOURS AND EARNINGS Table C-5: Indexes off aggregate weekly man-hours and payrolls in industrial and construction activities 1 1957-59=100 Industry Man-hours TOTAL 108 10 104 10 100 MINING 8 80.3 78 8 80 CONTRACT CONSTRUCTION 11 10 9 110.3 99 MANUFACTURING 108 107 107 10 101 DURABLE GOODS 11 11 11 105 10 Ordnance and accessories 12 12 12 13 13 Lumber and wood products, except furniture 98.3 9 9 96 9 Furniture and fixtures 11 11 11 106 107.3 Stone, clay, and glass products 110 10 101 107 10 Primary metal industries 11 118.3 11 10 10 Fabricated metal products 117 11 11 107 106 Machinery 12 119 12 11 11 Electrical equipment and supplies 12 120 12 109 109 Transportation equipment 107 10 107.0 97.3 97.3 Instruments and related products 107 106.0 108 10 10 Miscellaneous manufacturing industries... 107 10 10 100 99 NONDURABLE GOODS. 10 100 10 99 98 Food and kindred products 86 8 8 88.0 8 Tobacco manufactures 69 68.0 7 78 79 Textile mill products 10 99 10 97 9 Apparel and related products 11 11 118 107 107 Paper and allied products 109 107 108 106 105 Printing, publishing, and allied industries... 109 108 109 10 10 Chemicals and allied products 110 11 108 107 107.0 Petroleum refining and related industries... 78 78 76 8 78 Rubber and miscellaneous plastic products.. 129 126 129 119.3 116 Leather and leather products 9 9 99.3 9 90 Payrolls MINING 9 9 9 90; 1 CONTRACT CONSTRUCTION 129 12 136 124 MANUFACTURING 13 131 13 12 12 'For mining and manufacturing, data refer to production and related workers; for contract construction, data relate to construction workers. NOTE: Data for the 2 most recent months are preliminary.
ESTABLISHMENT DATA SEASONALLY ADJUSTED HOURS U8 TabU C-6: Avorago w««kly hours of production workers on payrolls off s.ucud industries } seasonally adjusted Industry Feb. Jan. Dec. Nov. Oct. Sept. Aug. July June MINING 4 4 41. 4 41. R 4 4 41. 9 4 41. 6 41. 4 CONTRACT CONSTRUCTION 37 36 37 37. s 39-0 37 1 3 37-4 37-0 3 V- 37.3 MANUFACTURING 40 4 41. 3 3. 7 41. 4 3. 6 4 40 3-2 40. 5 3. 2 40 3-2 40. 8 3. 2 40 40. 6 3. 1 40 DURABLE Lumber and wood products, except furniture... 3 9 41 6 4o-9 41 6 40 40,4 41 1 4 4 1 4 40 4 42. 0 1 41 0 40. 1 4? 0 42. 2 0 41, 0 40. 3 41. 6 4 40 40 4 40 39 41 41. 2 3. 3 40. 6 39. 7 41.? 4 40.0 39 40 41. 5 3. 4 40. 4 40. 4 41, 2 4 3-2 40 40.3 4 41. 4 3,? 40. 6 39-9 41. x 4 40 40 4 Stone, clay, and glass products 4 4 41 7 41 7 4 41 41. s 4 41 3 41 41. 4 4 Machinery Electrical equipment and supplies Transportation equipment... Miscellaneous manufacturing industries 42 4 40 8 42 5 4 39 4 4 40 4 40 39 4 4 4 4 4 4 40.0 4? 4 4? 5 43 1 41 p 43 3 41 5 39 9 4?. 4 4?. 3 43 0 41 1 43 41 3 39 9 4 4 4 4 4 4 40.0 4 4 4 40 41 4 39 4 41. 4 4? 0 40 7 40 40 9 39 7 4 4 4 40.3 4 40 39 4? 2 41 7 42 S 40 6 42 6 41 0 40 0 41 4 4 40 4 4 39 41. 41 4 42 4 40 ^ 42 6 40 9 39 5 41 4 4 40 4 40 39-5 NONDURABLE GOODS Food and kindred products.. 40.0 40 Q 39 40 40 4 40 3 2 1 41 0 40 l 3 1 41 3 40.0 3»1 4 40.0 4 39? 9 41.0 39 40 39 2 40 39 40 39 2 40 39 4 Tobacco manufactures Textile mill products..... Apparel and related products Paper and allied products Printing publishing and allied industries -37 -a 41 6 ^6 7 43 2 38 36 4 3 4 38 5 38 4 3 4 08 5 39 3 4? 0 36 7 J»3 0 38 s 38 4 4?? 36 8 43 1 38 39-6 36 4 38 38 41 36 4 38 39.3 41 36.? 4? 38 6 37.0 40.0 3 4 38 38 41 3S 43.0 38 39-6 40 36.O 4 38 39.0 40 36.0 42 38 39 4 36.0 4 38 Chemicals and allied products.. 4 42 4 'n q in 8 4 4 41,6 4 41.3 4 41 4 Petroleum refining and related industries Rubber and miscellaneous plastic products... Leather and leather products. 4 4 38 4 4 38 4 4 4 38.3 41 7 42 38 1 41 3 42 3 37 s 4 4 38 4 4 38 4 4 38 s 4 4 37 42 37 4 40 37-9 4 41 ^7 4 4 38 WHOLESALE AND RETAIL TRADE 2 38 3 08 r> 38 38 3 38 38.3 38 If 38 38,S 38 38 38 WHOLESALE TRADE 40 7 40 Q >,o 8 l 0 8 40 40 40 40 4o 7 40 4o 40 RETAIL TRADE 2-37.3 37-1 37 37 37-3 37-3 37 37-3 37 5 37-7 37 5 37-5 ] For mining and manufacturing, data refer to production and related workers; for contract construction, to construction workers; and for wholesale and retail trade, to nonsupervisory workers. ^Data exclude eating and drinking places. NOTE: Data for the 2 most recent months are preliminary.
ESTABLISHMENT DATA SEASONALLY ADJUSTED TabU C-7: Indexes off aggregate weekly man-hours in industrial and construction activities 1 seasonally adjusted 1957-59=100 Iadastry 6 6 TOTAL. 108 107 109 108 108 108 105 10 10 10 103-5 10 Feb. Jan. Dec. Nov. Oct. Sept. Aug. July June 10 MINING 8 81 83.I 8 8 8 84 8 80 8 8 8 81 CONTRACT CONSTRUCTION 11 108 115 11 11 118.0 110 106 10 106 106 IO7 IO6 MANUFACTURING 109 108 109 109.0 IO8 107 105-9 10 10 10 10 10 10 DURABLE GOODS 11 11 11 11 11 110 108 10 107 IO6 106 105 10 Ordnance and accessories 126 12 12 12 12 123-9 125-7 12 125 128 129 13 13 Lumber and wood products, except furniture... 97-3 96 98 96 95 96.I 9 93-5 9 95 96 9 95 Furniture and fixtures 118 116 118 117 11 115 113-5 11 110 11 111 11 109 Stone, clay, and glass products IO7 106 108.3 107.3 107.3 108 106 105-7 10 10 10 10 10 Primary metal industries 108 115 11 11 11 11 lll.o 108 11 108 IO6 10 10 Fabricated metal products 117.3 11 115 117 11 113-9 lll.o 105-7 110 110 108 107 107 Machinery 120.3 117 120 118 118.3 118 11 113-6 11 11 11 111 110 Electrical equipment and supplies 12 12 12 121 120 119 117-2 115-3 11 11 11 111 11 Transportation equipment 10 105 108.0 105.I 10 101 96 76 97 9 97.3 96 Instruments and related products 108 107 109 109 107 107.3 105-8 10 10 10 106.0 10 10 Miscellaneous manufacturing industries... 108 108 110 108 108 108 107-0 105-7 10 10 10 10 10 NONDURABLE GOODS. 10 IO 10 10 10 10 10 10 100 10 10 10 10 Food and kindred products 90 90 9 9 9 9 93-4 91-9 9 9 9 91 9 Tobacco manufactures 8 79-2 8 87 86 91 93-9 93-4 80 8 9 9 93-2 Textile mill products 10 100 10 10 101 100.3 99-0 98 9 97-2 96 96 96 Apparel and related products 116 11 115 11 115 H 11 11 107 109 109 11 109 Paper and allied products 110 108 110 109.3 IO8 108 107-3 108 107 108 108 107 107 Printing, publishing, and allied industries 109 109.3 109.0 108 108 108 10 107-1 107 107 106 106 106 Chemicals and allied products. 109.0 109 108 108 107 106 106 105-4 107 105 105-9 10 10 Petroleum refining and related industries 77-7 79 79 77-1 77 78 78 79-7 8 80.0 80 80 8O.3 Rubber and miscellaneous plastic products... 130 129.O 13 130 127 12 12 12 12 123-9 119 119 120 Leather and leather products. 100 99-3 99 98 96 98 98 98.3 96 96 97 97-0 'For mining and manufacturing, data refer to production and related workers; for contract construction, data relate to construction workers. NOTE: Data for the 2 most recent months are preliminary.
ESTABLISHMENT DATA?o STATE AND AREA HOURS AND EARNINGS TabU C-8: Gross hours and arnings of production workers on manufacturing payrolls, by State and selected areas ALABAMA Birmingham Mobile ALASKA State and area ARIZONA Phoenix Tucson ARKANSAS Fort Smith Little Rock-North Little Rock... Pine Bluff CALIFORNIA Anaheim-Santa Ana-Garden Grove.. Bakersfield Fresno Los Angeles-Long Beach Sacramento San Bernardino-Riverside-Ontario San Diego San Francisco-Oakland San Jose Stockton Vallejo-Napa COLORADO Denver CONNECTICUT Bridgeport Hartford New Britain New Haven Stamford Waterbury Average weekly earnings 196k $9k-95 125-97 1070 IH.38 119 no Ao 71 70.02 72 883 1200 1190 129.03 9k. 5k 118.30 126k 121 1286 1288 12k 116 108.09 1190 111 107.30 116 1106 111 107 1100 1101* $918 118k 10^ Ik63 Hl2 11k 1163 77 73 76 87.36 121 121 128.08 995 1197 133-32 1199 1272 1300 125k 125 115 11k 116 112.Ik 110 H88 115.k8 1096 117 H6 $878 Ilk6 1000 15k3 1088 IO87 117 705 67. k9 708 8kk H7O 1195 126 97-02 117 1286 119.36 1270 126 119.ko 1175 1092 118 112 106 11k 1103 1095 10k.38 112 100 k k k ko ko 38 ko 38 ko.k k 39 ko.o 39 36 ko.i 38 ko ko.3 39 39 38 37-k k k0 ko kl.3 ko kl.k 39-6 kl.o kl kl kl kl 39-1 k0 kl.o 39 ko 39.3 k0 kl ko ko 39 38 ko ko.k ko.3 ko.i ko.o ko.3 kl 37A ko.3 ko k k k k kl kl k ko kl ko.k 39 ko.k ko 39-k k0 39 ko.i kl ko.o ko ko 37 k0 39 k0 ko 39-2 39 kl.l 38.3 ko ko kl.l kl kl.k kl ko.3 k kl Average hourly earnings $5 5 5 5 k 9 11 10 11 1 2 9 5 9 5 8 2 0 8 3 2 9 5 7 3 k 3 2 8 0 5 $3 k 2 k k k k 11 11 11 0 2 1 1-58 95 0 7 9 7 2 k 3-02 1 2 7 5 9 3 k 1 8 $7 7 9 0 9 7 9 6 0 I6 2 k 3 3.H 6 7 2 k k 7 0 6 7 5 7 0 9 7 3 9 6 8 DELAWARE Wilmington Ilk3 121K 38 118 12k2 107 115 kl kl kl.3 kl ko.3 ko.k 5 9 5 1 8 7 DISTRICT OF COLUMBIA: Washington FLORIDA Jacksonville Miami Tampa-St. Petersburg 118 910 90 8O 973 119 895 9k 82 87.33 1095 877 98 81 88.kl ko.l k ko ko k ko k ko kl.3 kl.o 39.3 kl kl ko.k kl 7 6 9 1 8 8 2 0 9 3 8 0 5 3 1 GEORGIA Atlanta Savannah 8O.38 105 972 808 105 101 767 91 97 k0 ko ko.3 ko ko kl.l ko.3 ko.3 ko 7 0 l 8 0 6 1 8 8 HAWAII 866 80k 37.3 37.3 1 7 IDAHO 1005 986 91 38.k 3 3 ILLINOIS Chicago Davenport-Rock Island-Moline... Peoria Rockford 1155 1163 1180 127k 131 118k 112 Ilk.07 1288 135 Ilk6 kl.k kl kl k k ko ko k k k3-l 2 5 0 3 1 6 2-79 7 2 6 INDIANA Indianapolis 1191 1208 121 53 Ilk3 kl k kl kl.l 8 6 0 9 IOWA Des Moines 1101 1188 117 123 1090 11k ko.l 39.0 kl.o k0 k0 39.k 6 k 5 5 0 2 See footnotes at end of table. NOTE: Data for the current month are preliminary.
5i ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS Table C-8: Gross hours and earnings of production workers on manufacturing payrolls, by State and selected areas--continued KANSAS... Topeka.. Wichita. State and area Average weekly earnings $112 127 1167 $1107 1204 113-61 $1090 110 1184 4 4 40 e weekly hours 4 4 4 4 4 4 Average hourly earnings $7 $8 $2 1 2 7 0 4 4 KENTUCKY Louisville. 101 113 IOI6 118.34 99.39 1164 40 40 4 4 40 4 4 7 7 2 3 7 LOUISIANA Baton Rouge. New Orleans. Shreveport.. 108 138 109 998 106.01 1289 1084 1 IO6 1287 103 986 4 4 40.3 4 4 40 4 4 4 4 4 2 0 3 7 3 3-18 4 7 8 3 7 3 MAINE Lewi s ton-auburn. Portland 83 66 906 83 699 800 68 95 40 35 4 38 4 40 36 40 5 12 0 2 12 0 0 5 5 MARYLAND... Baltimore. 110.39 118.30 107.38 112 105 1063 5 4 4 4 40 40 6 1 0 3 3 6 MASSACHUSETTS Boston Pall River New Bedford Springfield-Chicopee-Holyoke. Worcester 97 108 68.32 77.37 105 1079 984 108 705 781 109 IIO3 9+6 100.35 61 70 980 0 40 39 35 38.3 40 4 40 40.3 36 39-3 4 4 39 39 3 38.3 40 40.0 3 2 3 2 0 1 2 0 3 9 9 2 6 6 0 4 3 0 MICHIGAN Detroit Flint 2 Grand Rapids 2 Lansing Muskegon-Muskegon Heights. Saginaw 149 Ikj.ll 170 1184 157.30 127 158 147.06 1563 167-75 1178 148.09 128 1541 1340 1402 154 116 134 112 1399 4 4 48 4 46 4 46.0 4 46 47 41 4 4 47.0 4 4 4 40.3 4 39.3 2 6 1 4 9 8 2 3 3-39 1+ 4 1 9 3-28 3.H 3-26 6 9 3 9 9 MINNESOTA Duluth-Superior. Minneapolis-St. Paul. 1113 1105 117.00 116 1096 1169 1063 107 116 40 40 40 4 40 4 40 39-6 40 3 3 6 2 3 4 4 9 6 MISSISSIPPI. Jackson... 72 78.38 716 79-37 695 75 4 4 40 4 39-8 4 12 14 8 I5 5 6 MISSOURI Kansas City. St. Louis... 106 110 1173 109 116 1177 1007 IH7 113 4o.o 40 40 40 40 40 39 40 40 0 9 0 9 1 8 3 3 3 MONTANA. 112 1164 1073 4 4 39 2 2*72 0 NEBRASKA. Omaha... 990 100 03 IO83 984 107.37 4 4 4 4 5 5 9 ki0 5 7 NEVADA. 120 126 121 40.0 40 39-0 4 8 9 NEW HAMPSHIRE. Manchester... NEW JERSEY Atlantic City Jersey City 3 Newark 3 Paterson-Clifton-Passaic Perth Aniboy 3 Trenton 81 77.02 1109 84 1083 1107 1098 112 1100 85 780 1112 82 HO.30 116 111 1162 1104 800 7^9 108.00 77-79 1075 1086 1079 111 1102 40 38 40 38 39-9 40 40 40 40 40 39 4 39 40 4 4 41 40 40.3 38 40 37^ 40 40 40 40 4 4 8 3 1 1 1 1 4 4 5 8 2 4 1 2 2 1 1 1-99 2 6 8 4 6 5 6 6 See footnotes at end of table. NOTE: Data for the current month are preliminary.
ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS Table C-8: Gross hours and earnings of production workers on manufacturing payrolls, by State and selected areas Continued NEW MEXICO Albuquerque State and area $90 99.38 $94 101* 1961* $90.06 91*1* Aver at 40 40 e weekly I965 39 4 hours 39-5 40 Average $6 6 hourly ei $9 6 Tnlngs $8 5 NEW YORK Albany-Schenectady-Troy Binghamton Buffalo Elmira Nassau and Suffolk Counties 4. New York-Northeastern New Jersey- New York SM3A 3 New York City 4 Rochester Syracuse Utica-Rome Westchester County 4 103-74 111 1008 134 1044 1010 103 95-94 94 1202 118 98 107 105-74 116.05 108 130*0 108 1070 101*. 1*1 991* 986 1207 111*. 12 99-96 1063 109 11*6 961* 121*, 80 100 IO8 1005 965 948 111* 110.02 96*0 1001 39.0 40 40 4 39-9 38.3 38 36 36 4 4l.l 39 38 39 4 40 4 40.3 40.3 39 38 37-9 4 4 40 40 39-3 40 40 4 40.0 39 38 37 37 4 40 40.0 39.3 6 1 7 3.H 1 5 5 0 9 9 0 4 4 5 1 8 9 1 7 5 0 9 8 7 5 6 9 7 0 0 4 0 9 5 3 4 9 1 6 NORTH CAROLINA Charlotte Greensboro-High Point 76 781 79 71*6 796 71*.37 702 76*5 70 40 4 39 4 4 40 40 4 40 10 I9 I5 10 I9 I5 4 16 10 NORTH nakota Fargo-Moorhead 95 8 106.07 93 101*. 26 9*3 1059 41 39 4 39 40 9 6 8 5 4 0 OHIO Akron Canton Cincinnati Cleveland Columbus Dayton Toledo Youngstown-Warren 128 130 1254 H63 1283 118 131 1277 145-47 126*1* 11*03 12*5 1180 130 112 139.00 131*0 135 1201 1289 1187 116 121*. 50 111*. 28 1301* 1268 128.02 4 4 4 40.0 4 4 4 4 4 40 4 4 40 4 4 4 4 4 40 4 4 4 4 4 40 9 2 7 9 2 3 0 2 1 9 7 1 0 5 3 2 5 8 0 3 2 3 7 7 8 5 3-14 OKLAHOMA Oklahoma City Tulsa 983 96 1073 995 99 1074 961 90 101 4 4 4lA 4 4 41. k 4 4 40 8 3 9 8 6 0 2 8 2 OREGON Portland H2 115-34 115 111*. k6 115 111 39 39 39-4 39-2 39-7 39 3 2 2 2 5 8 PENNSYLVANIA Allentown-Bethlehem-Easton Altoona Erie Harrisburg Johnstown Lancaster Philadelphia Pittsburgh Reading Scranton Wilkes-Barre Hazleton York 1051 1063 87 2 112 93 1063 95 1080 139 91 74 6 700 86.07 105 100 888 Hi*. 75 91* 107.06 960 1096 1272 95-71 760 79 88*0 100 977 8*1 1095 87*7 l(a. 39 910 102 126 901* 72 76 847 40 40 39 4 40 37 40 40.0 4 39 36 3 40 40 40.0 39 4 40 38 41 40 4 40 37 37 41 40.0 38 38 4 39 38 40 39 40 39 37-1 37.3 4 1 6 3 1 2 3 9 1 4 1 4 0 2 9 0 3 0 8 1 3 1 3-12 4 4 7 3 3 2 2 2 2 4 5 3 8 8 6 4 5 RHODE ISLAND Providenee-Pawtucket-Warwick... 86 87A8 867 88.37 80 84*2 40 40 40 4 40.0 40 5 6 4 5 0 0 SOUTH CAROLINA Charleston Greenville 77.38 89 70 772 863 787 79 78O 706 4 39 41 4 4 40 40 40 16 7 10 I5 7 I3 7 6 1-73 SOUTH DAKOTA Sioux Falls 106 116 8 1007 1106 102 118 4 4 4 4 4 4 8 8 8 7 3 3 See footnotes at end of table. NOTE: Data for the current month are preliminary.
53 ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS Table C-8: Gross hours and earnings of production workers on manufacturing payrolls, by State and selected areas Continued Chattanooga. Knoxville... Memphis Nashville... State and area Average weekly earnings $91-27 98.33 97 908 105 $84 92 962 905 898 $80 879 96 96 85 Average weekly hours 40 41 40 40 40 4 40 40 40 40.3 40 39-3 4 40 Average hourly earnings $1 1 8 3 $7 1 6 6 1 TEXAS Dallas Fort Worth.. Houston San Antonio. 3 96 109,30 1202 70 1012 92 102 120.kl 1004 891 109 1196 76 4 4 4 4 40 4 4 4 4 40 4 4 4 40 6 6 9 4 17 3 6 4 2 17 UTAH Salt Lake City. 114 107.04 114-33 108^ 113 IO76 40 39 40 40 40.3 40 5 1 3 9 8 5 VERMONT Burlington.. Springfield. 904 93 106 90.09 93 1061+ 80 879 979 4 4 4 4 41 4 4 39 4 4 5 2 4 2 4 8 2 5 VIRGINIA Norfolk- Portsmouth, Richmond Roanoke 89 964 97 860 864 984 96 84 82 91 89.02 86 4 4 39 4 4 4 40 4 40 4 40 4 9 1 3 0 9 6 3 8 2 5 2 4 WASHINGTON Seattle-Everett. Spokane Tacoma 1217 120 121 H6O 1218 1240 117-99 115-92 112 1170 114 119 39 39 40 38 39 40.0 39 38 39 39 39-2 38.3 7 3 6 0 7 3-12 1 8 8 0 5 5 WEST VIRGINIA Charleston Huntington-Ashland. Wheeling 138 124 113 1106 1268 1190 113 100 1269 118 109.07 4 4 4 4 40 40 4 40.3 1+0.3 4 39-5 40 7 9 7 1 2 2 1 8 5 3-07 5 2 WISCONSIN.. Green Bay. Kenosha... La Crosse. Madison... Milwaukee. Racine... 111 107.35 126 1097 112 121 1187 111 111 1169 1098 115-35 127 126 1090 1069 1181 100 115 120.00 110 4 4 1+0 4 40.0 4 1+0 4 4 38 4 40 4 1+ 4 4 39.3 39 40.3 4 40 3 0 6 7 7 1 2 3 6 5 6 7 1 1+ 6 4 2 0 0 3 3 WYOMING. Casper. 118 130.32 IIO8 128 110.01+ 1192 38 40 38.O 38 39.3 38 5 5 1 3-20 0 3.H ^Not available. *Data for not comparable with earlier years because of change in area definition. 3 Area included in New York-Northeastern New Jersey Standard Consolidated Area. 4 Subarea of New York Standard Metropolitan Statistical Area. NOTE: Data for the current month are preliminary. SOURCE: Cooperating State agencies listed on inside back cover.
TabU D-l: Labor turnover rat«s in manufacturing 1955 to dau ESTABLISHMENT DATA LABOR TURNOVER (Per 100 employees) Year Feb, I I I June I July I Aug. I Sept. I Oct. I Nov. I Dec. I Annual average 1955 1956 1957 1958 1959 1 i960 1961 1962 1963 196U,.. ja- 1955 1956 1957 1958, 1959 i960, 1961 1962 1963 1961* Q k.o 3 8 1 1*9 * \i 3-5 * * 1 * U k.o * k.o 3.k?' U 1*.O k.o 1 * * k.3 1*.3 k.3 k.o 1 accessions k.q if New hires ^ ^.3 u 1, U k l*.3 k.k * 5 k k k k.q l*.l 3A * * C -I e ^ k k.q i* * k.o O Q 3-9 ^ 3 k.o k.o a k 3.** 3.k 1 1 1 1 1 * * U. 5 k.o * 2 6 separations IQ55 I956 I957 I958 19591 i960 I961 I962 I963 1961* 1955 1956 1957 1958 1959. i960 1961 1962 1963 * ** k.o i*.o 1,9 * li l.ḳ 8 i*.o 3-k 1 1 1 H 1* * 1 1 l.k l.k l*.3 1 1 1 * 1 i*.o 1* 1*.O 3-1 * 1 1 * 1 l.k * Quits l*.l i*.o 1*A U.l l*.l* l*.l k.k l.k l.k l.k 1 k k 1* 1* k.q k.3 1 1 l* k k.k k.k l* l* k.k l.k 1 1-5 1*.O k l* l* 1*.O 1*.O 1 * k 1* 1*.O 1* 1* l*.l l*.l 1*.3 i*.o l*.l 1 l.i* * 1 Layoffs 1955 1956 1Q57 I958 1959 ig6o I961 I962 I963 I961+ I965 1 7 1*.O 1 8 2 2 1 1 * 1*5 * 1*7 * 1-9 1 1 1 * 1 * * 1 * 1 1 * 1 * 1 * * 1 * 1 1 >OJ OOCV 00 0100 1-9 1 1 * 1-7 1 1 * * * 1 * 1 1-7 ^Beginning with January 1959, transfers between establishments of the same firm are included in total accessions and total separations, therefore rates for these items are not strictly comparable with prior data. Transfers comprise part of other accessions and other separations, the rates for which are not shown separately. NOTE: Data include Alaska and Hawaii beginning 1939. This inclusion has not significantly affected the labor turnover series. Data for the current month are preliminary.
ESTABLISHMENT DATA LABOR TURNOVER Table D-2: Labor turnover rates, by industry (Per 100 employees) Industry Accession rates New hires 7~ Separation cpara rates Quits Layoffs TprT I? MANUFACTURING 3-7 3-k 1-5 DURABLE GOODS.... NONDURABLE GOODS. 3-6 1-5 1 l.k Durable Goods ORDNANCE AND ACCESSORIES Ammunition, except for small arms Sighting and fire control equipment Other ordnance and accessories 2-3.k l.k 1 1 3-5 1-7 0 7 0 1-9.k LUMBER AND WOOD PRODUCTS, EXCEPT FURNITURE. Sawmills and planing mills Sawmills and planing mills, general Millwork, plywood, and related products Millwork Veneer and plywood Wooden containers Wooden boxes, shook, and crates Miscellaneous wood products 5-9 k k 5-1 k k.q 6 6.k k 5 6 k 3-9 3-k 9 k k.3 k k.k k.q 5-3 k k.q 5 5 k k k.3 6 6.k 3-k 3-3 3-3 i.k FURNITURE AND FIXTURES Household furniture Wood house furniture, unupholstered Wood house furniture, upholstered Mattresses and bedsprings Office furniture k k k k 3-k 3-0 3-2 k k.j k 3-k k.q k k k k k 3-5 3-1 3-1 3-k 3-2.k STONE, CLAY, AND GLASS PRODUCTS Flat glass Glass and glassware, pressed or blown Glass containers Pressed and blown glassware, n.e.c Cement, hydraulic Structural clay products Brick and structural clay tile Pottery and related products Abrasive products k 3-9 k 3-1 6 3* 1 1-7 1-5 3-k l.k 3-3 3-2 l.k 3-* 3-0 3-1 3-0.k 7 3 1 3 1.k l.k 3-1 l.l -5 7 3 9 7 PRIMARY METAL INDUSTRIES Blast furnace and basic steel products Blast furnaces, steel and rolling mills Iron and steel foundries Gray iron foundries Malleable iron foundries Steel foundries Nonferrous smelting and refining Nonferrous rolling, drawing, and extruding.... Copper rolling, drawing, and extruding Aluminum rolling, drawing, and extruding.... Nonferrous wire drawing, and insulating.... Nonferrous foundries Aluminum castings Other nonferrous castings Miscellaneous primary metal industries Iron and steel forgings 3-3 3-6 1 3-k 3^ 1 k.3 ^ 3 3-7 5 1 1 l.k 3-1 3-1 1 l.k 9 1 1 3-3 3-0 1-7 l.k 1-5 1 k.k 3-1 3-1 ^ 3 1 3-9 3-7 1 1 7 7!8 7 1 l.k ' 1-9.k.k 3 ' 3 7.k 3 + 3 5 3 See footnotes at end of table. NOTE: Data for the current month are preliminary.
Table D-2: Labor turnover rates, by industry Continued ESTABLISHMENT DATA LABOR TURNOVER (Per 100 employees) Industry Accession rates New hires Separation rates Quits Layoffs "Apr! Mar7 "AprT Durable Goods Continued FABRICATED METAL PRODUCTS Metal cans Cutlery, hand tools, and general hardware Cutlery and hand tools, including saws Hardware, n.e.c Heating equipment and plumbing fixtures Sanitary ware and plumbers' brass goods Heating equipment, except electric Fabricated structural metal products Fabricated structural steel Fabricated plate work (boiler shops) Architectural and miscellaneous metal work... Screw machine products, bolts, etc Bolts, nuts, screws, rivets, and washers Metal stampings Miscellaneous fabricated wire products Miscellaneous fabricated metal products Valves, pipe, and pipe fittings MACHINERY Engines and turbines Steam engines and turbines Internal combustion engines, n.e.c Farm machinery and equipment Construction and related machinery Construction and mining machinery Oil field machinery, and equipment Conveyors, hoists, and industrial cranes Metalworking machinery and equipment Machine tools, metal cutting types Machine tool accessories Miscellaneous metalworking machinery Special industry machinery Food products machinery Textile machinery General industrial machinery Pumps; air and gas compressors Ball and roller bearings Mechanical power transmission goods Office, computing, and accounting machines Computing machines and cash registers Service industry machines Refrigeration, except home refrigerators ELECTRICAL EQUIPMENT AND SUPPLIES Electric distribution equipment Electric measuring instruments Power and distribution transformers Switchgear and switchboard apparatus Electrical industrial apparatus Motors and generators Industrial controls Household appliances Household refrigerators and freezers Household laundry equipment Electric housewares and fans Electric lighting and wiring equipment Electric lamps Lighting fixtures Wiring devices Radio and TV receiving sets Communication equipment Telephone and telegraph apparatus Radio and TV communication equipment Electronic components and accessories Electron tubes Electronic components, n.e.c Miscellaneous electrical equipment and supplies.. Electrical equipment for engines 14-.0 5-3 3A 3-3 3-8 3-9 h 5-2 k.3 2A 3-5 3-5 2A 2A 3-0 3-9 3-2 6 k-5 5 8 3-1 3-7 5-7 5-3 3A 3-2 3-5 3-5 3-1 2A 3-0 2A 3A 2A 2A 3-1 3-5 3-2 3-2 3-2 2A k.3 2A 3-0 5-7 3-0 3-2 3-2 3A 2A 1-9 1-7 1 3-2 3-2 1 3-k k.o ft 1A 1A 3A 2A 2A 2A 3-7 ^ 2A 2-5 1-7 2A 2A 3^ 1 1A 1-5 3-7 1 k.3 3-7 3-7 3-8 3-6 3-5 1 k.k 2A 2A 1-7 1-9 3-1 3-0 3-1 1 3-5 3-3 2-3 1-7 6 3A 3-7 3-7 3-0 ^ 3 k 3-3 *-3 2A 2A 2:5 k.o 2A 1 2A 1-9 1-7 1 1 2-7 3-0 2A 2A 2-5 3-1 1 3-2 3-0 1 1 1 1-7 1 1-7 la la 1-5 3 1-9 7 9 1-7 1-7 1 la 5 7 1-5 1 1 9 7 la la la la la la 1 1 1-9 1 1 A la la 9 7 1 la 7 la 1 7 1-7 1-9 1 l.k A A 7 3 A 3 3 A 3 7!8 A ' 3 7 1Ạ 6 7 7 7 * 9 9 * 1 1-9 5 7 5 9 la 7 5 A 3 A 5 5 9 A A A 7 1 3 1 7 2-3 See footnotes at end of table. NOTE: Data for the current month are preliminary.
ESTABLISHMENT DATA LABOR TURNOVER Table D-2: Labor turnover rates, by industry Continued (Per 100 employees) Industry Accession rates 265. 265. Separation rates Quits Layoffs Apr Durable Goods--Continued TRANSPORTATION EQUIPMENT Motor vehicles and equipment Motor vehicles Passenger car bodies Truck and bus bodies... 1 Motor vehicle parts and accessories... Aircraft and parts Aircraft Aircraft engines and engine parts Other aircraft parts and equipment... Ship and boat building and repairing... Ship building and repairing Railroad equipment Other transportation equipment 4 1 H 8.3 10+ 10.3 9 l.k l.k 1 7 1 1 5-9 7-9 10 1 k 8 9.0 6 1 4 1 6 7.3 1 8 5 INSTRUMENTS AND RELATED PRODUCTS... Engineering and scientific instruments.. Mechanical measuring and control devices Mechanical measuring devices Automatic temperature controls Optical and ophthalmic goods Surgical, medical, and dental equipment.. Photographic equipment and supplies... Watches and clocks 1 4 1!6 6 MISCELLANEOUS MANUFACTURING INDUSTRIES Jewelry, silverware, and plated ware.... Toys, amusement, and sporting goods... Toys, games, dolls, and play vehicles.. Sporting and athletic goods, n.e.c Pens, pencils, office and art materials.. Costume jewelry, buttons, and notions... Other manufacturing industries 9 1 4 6 1 1 7 5 6 3.k 7 6 k 5 6 5 1 1 1 Nondurable Goods FOOD AND KINDRED PRODUCTS Meat products Meat packing Poultry dressing and packing Grain mill products Flour and other grain mill products... Prepared feeds for animals and fowls. Bakery products Bread, cake, and perishable products. Biscuit, crackers, and pretzels Confectionery and related products... Candy and other confectionery products Beverages Malt liquors 4 9 1 5 4 k 7 1 1 6 1 l.k 7 1 7 8 5 1:1 5-7 7 8 1 1 1 1 5 3-4 1 4 TOBACCO MANUFACTURES Cigarettes Cigars 1 See footnotes at end of table. NOTE: Data for the current month are preliminary..k l.o 4 1 5.3.3
ESTABLISHMENT DATA LABOR TURNOVER Table D-2: Labor turnover rates, by industry Continued (Per 100 employees) Industry Accession rates New hires Apr, Mar, 1065 Separation rates Quits Layoffs Nondurable Goods Continued TEXTILE MILL PRODUCTS Cotton broad woven fabrics Silk and synthetic broad woven fabrics Weaving and finishing broad woolens Narrow fabrics and smallwares Knitting Full-fashioned hosiery Seamless hosiery Knit underwear Finishing textiles, except wool and knit Floor covering Yarn and thread Miscellaneous textile goods. k k.q 3.* 3 *.3 3.^ 5.* 1 h.<> 3-5. k.0 k.o k.o 3.** k.k 3.k k.o k 1 1 1 1 0 * 1 0.k APPAREL AND RELATED PRODUCTS Men's and boys' suits and coats Men's and boys' furnishings Men's and boys' shirts and nightwear Men's and boys' separate trousers Work clothing Women's and children's undergarments Women's and children's underwear Corsets and allied garments k.q k.q k * 3.h k.o 3.k k.3 6 k.q k k k.q 1* k.0 k.3 k 1 3.k \l * 1.k PAPER AND ALLIED PRODUCTS Paper and pulp Paperboard Converted paper and paperboard products Bags, except textile bags Paperboard containers and boxes Folding and setup paperboard boxes Corrugated and solid fiber boxes 3.^ k.o k.3 k.3 3.^ 5 1 k * 1 1 \k 1 PRINTING, PUBLISHING, AND ALLIED INDUSTRIES l.k l.k CHEMICALS AND ALLIED PRODUCTS Industrial chemicals Plastics and synthetics, except glass Plastics and synthetics, except fibers Synthetic fibers Drugs Pharmaceutical preparations Soap, cleaners, and toilet goods Soap and detergents Toilet preparations Paints, varnishes, and allied products Other chemical products 1 3.^ k.0 1 * 1 1 1 1 1 k.3 1 l.k 1 1 l.k.k.3.3.3.k 1 1* l.lf.3.3 m2.3 1 PETROLEUM REFINING AND RELATED INDUSTRIES Petroleum refining Other petroleum and coal products k.q l.k '.k \k,k.k.3 RUBBER AND MISCELLANEOUS PLASTIC PRODUCTS Tires and inner tubes Other rubber products Miscellaneous plastic products k.3 1 k k.0 * 6.0.k.k.k.k See footnotes at end of table. NOTE: Data for the current month are preliminary.
ESTABLISHMENT DATA LABOR TURNOVER 60 Table D-2: Labor turnover rates, by industry Continued (Per 100 employees) Industry Tota iq65 Mir. New hires Mar, 1065 1065 Separation epa_ rates Quits 1065 Apr JL2S5. Nondurable Goods-Continued LEATHER AND LEATHER PRODUCTS Leather tanning and finishing. Footwear, except rubber U 4 4 1 NONMANUFACTURING METAL MINING Iron ores Copper ores 1 COAL MINING Bituminous 1 COMMUNICATIONS! Telephone communication Telegraph communication3 inot available. 2 Less than 0.05. 1 3 Data relate to all employees except messengers. NOTE: Data for the current month are preliminary,
61 ESTABLISHMENT DATA SEASONALLY ADJUSTED LABOR TURNOVER Table D-4: Labor turnover rates in manufacturing, 1955 to date seasonally adjusted (Per 100 employees) Jan. Feb. June July Aug. Sept. accessions 1955.- 1956., 1957-1958.. 1959 1 I960., 1961., 1962., 1963.. 196k.,.. 4 k.3 k k.k k.3 k.3 k.3 k.3 3^9 k 5 3-9 3-8 k k.q k.3 k.3 k.3 k.3 k.o 3-0 3-6 New hires 1955-1956.. 1957.. 1958.. 1959.. 1960.. 1961.. 1962., 1963.. 196k., -. l.k 1 l.k 1 3-1 1 1 1 1 1-9 1 separations 1955.. 1956.. 1957.. 1958.. 1959 1 i960.. 1961.. 1962.. 1963...... 5 3-6 4 4 3-6 3-8 4 Quits 4 4 4 4 3-9 4 3-6 4 4 1955.. 1956.. 1957.. 1958.. 1959. i960.. 1961.. 1962.. 1963.. 1961*.... 1955.. 1956.. 1957.. 1958.. 1959.. i960.. 1961.. 1962.. 1963...... 1 1-9 1 1 1 1 1 1 1 1 l.l 1 1 1-7 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1:1 1 1 1 Layoffs 2.C ^Beginning with January 1959, transfers between establishments of the same firm are included in total accessions and total separations, therefore rates for these items are not strictly comparable with prior data. Transfers comprise part of other accessions and other separations, the rates for which are not shown separately. NOTE: Data include Alaska and Hawaii beginning 1959. This inclusion has not significantly affected the labor turnover series. Data for the current month are preliminary. 1 1 1 1 1.-8 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1-7
ESTABLISHMENT DATA STATE AND AREA LABOR TURNOVER 62 Table D-5: Labor turnover rates in manufacturing for selected States and areas ALABAMA.. Birmingham. Mobile 1.. ALASKA. State and area 5-1 2 (Per 100 employees) Accession rates New hires Feb. Feb. 9 16.0 1 6 1 Feb. k 5-2 Separation rates Quits Feb. 1 7 8 ARIZONA.. Phoenix. 5 3 3-9 1 1- ARKANSAS Fort Smith Little Rock-North Little Rock. Pine Bluff 5-2 6 k-3 k k.k 5 3 5 3-8 k.3 3* k.3 ^ 9 H k CALIFORNIA x Anaheim-Santa Ana-Garden Grove 1 Los Angeles-Long Beach 1 Sacramento x San Bernardino-Riverside-Ontario San Diego 1 San Francisco-Oakland 1 San Jose 1 Stockton x k k ^3 5-3 k.k 3-5 k.k 3A 8 3-k 1 3-3 3-8 3-7 *-3 1^ 1-7 1 1 l.k 1 COLORADO. k l.k CONNECTICUT.. Bridgeport.. Hartford... New Britain. New Haven... Stamford... Waterbury... 1 1 6 3-0 1 l.l l.k I' 1 9 I-5 DELAWARE l. Wilmington; 1 l.k 1 5.k DISTRICT OF COLUMBIA: Washington 3-2 1 1 3 3 FLORIDA Jacksonville Miami Tampa-St. Petersburg. GEORGIA Atlanta 2, HAWAII IDAHO 4 ILLINOIS: Chicago* 5-1 6.0 5-0 8 k 6.k 5-1 k.3 3-9 3-k k 3.k 3-3 k.3 3-9 6 6 5-1 l.k 1 5 3-3 1 7 3 INDIANA 1 Indianapolis 5 1 IOWA Cedar Rapids. Des Moines... KANSAS... Topeka.. Wichita. KENTUCKY... Louisville. LOUISIANA New Orleans k 1^.0 k.q See footnotes at end of table. NOTE: Data for the current month are preliminary. k k H1 3-3 1-9 3-5 ^ 5 3-9 3-0 l.k l.k 1 l.*8 1-9 3
63 ESTABLISHMENT DATA STATE AND AREA LABOR TURNOVER Table D-5: Labor turnover rates in manufacturing for selected States and areas Continued MAINE Portland. State and area 6 3-1 Feb. 3-4 (Per 100 employees) New hires Feb. 5-9 Feb. Separation rates Quits Feb. 1 Layoffs 1-7 MARYLAND... Baltimore. 4 4 3-9 1-7 1 MASSACHUSETTS Boston Fall River New Bedford Springfield-Chicopee-Holyoke. Worcester 3-7 4 5-4 3-5 3-2 5 3-2 1 1 5 MICHIGAN Detroit Grand Rapids Lansing «. Muskegon-Muskegon Heights. Saginaw 3-0 3-3 3-9 4 3-8 1-9 1 1 6,k 5 9 3 MINNESOTA Duluth-Superior Minneapolis-St. Paul. 4 5-1 3-9 1 1 1-5 1 MISSISSIPPI. Jackson... 4 3-7 4 3-6.k MISSOURI Kansas City. St. Louis... 3-6 3-9 1 1-7 3-3 9 MONTANA 4 1 NEBRASKA. 3-0 1 1 NEVADA. 5 3-0 NEW HAMPSHIRE. NEW MEXICO... Albuquerque. 1-7 1 NEW YORK Albany-Schenectady-Troy Binghamton Buffalo Elmira Nassau and Suffolk Counties New York SMSA New York City 7 Rochester Syracuse Utica-Rome Westchester County 7 4 4 1 1 3-0 3-1 1 1.3 5 l.u 7 1 NORTH CAROLINA Charlotte Greensboro-High Point. NORTH DAKOTA... Fargo-Moorhead. 3-4 3-1 3-0 3-1 1 3-3 1 1-7 3-2 7 5 3 5.3 See footnotes at end of tabl*» NOTE: Data for the current month are preliminary.
ESTABLISHMENT DATA STATE AND AREA LABOR TURNOVER 6k Table D-5: Labor turnover rates in manufacturing for selected States and areas Continued State and area OHIO Akron Canton Cincinnati, Cleveland Columbus Dayton. Toledo Youngs town-warren (Per 100 employees) Accession rates New 1lires Feb. Feb. I965 I965 I965 3-2 3-7 3-2 3-5 k 3-2 1 1 l.k 1 1-7 3-k Feb. I965 Separation rates Quits Feb. I965 7 9 0 9 7 7 7 0 7 Layoffs Feb. 0 OKLAHOMA 8 Oklahoma City, Tulsa 8, 3-3 4-7 k.o 3-4 k 3-k 3-1 3A 1-7 1 OREGON 1, Portland 1 6 1^ 3-6 3-3 k. k.k 1 1 1 PENNSYLVANIA Allentovn-Bethlehem-Easton.. Erie Harrisburg Lancaster Philadelphia Pittsburgh Reading Scranton Wilkes-Barre Hazleton York 3-7 k.k k 1-9 1-7 1 3-7 1 3-5 1 1 9 1 5 9 9 1 RHODE ISLAND Providence-Pavtucket-Warwick 3-9 k k.k 4 1 SOUTH CAROLINA Charleston k 9.0 7.3 7 5-9 4 SOUTH DAKOTA Sioux Falls k 1 k.o k 5 TENNESSEE 9 Chattanooga 6 Khoxville Memphis Nashville 4-3 1 3.* 1-5 7 9 5 1 1 9 5 7 TEXAS 10 Dallas 10 Fort Worth 10 Houston 10 San Antonio 1 3-4 3-0 3-3 3-4 1 1-7 1 1 1 1 7 9 7 5 UTAH 4 Salt Lake City 4 1 1 3-3 3-3 3-1 1 5 1-5 VERMONT Burlington Springfield k 6 3-7 4-9 k.o 1-7 1 1 5 VIRGINIA Norfolk-Portsmouth Richmond Roanoke 6 3-* 3-0 3-1 3-3 3-4 1 1 1 See footnotes at end of table. NOTE: Data for the current month are preliminary.
65 ESTABLISHMENT DATA STATE AND AREA LABOR TURNOVER Table D-5: Labor turnover rates in manufacturing for selected States and areas Continued WASHINGTON H Seattle-Everett 1X. Spokane U Tacoma n State and area 5 (Per 100 employees) Accession rates New hires Feb. * Feb. Separation rates 1 1 Feb. Layoffs Feb. * WEST VIRGINIA Charleston Huntington-Ashland. Wheeling 3-3 * 1 * 3-2 1-7 1-9.3 7 3 7 1 WISCONSIN Green Bay Kenosha La Crosse Madison Milwaukee Racine WYOMING 4 k.3 * 9 * 1*.O 3-5 l.k 1 1 7 9 * 1 * ^Excludes canning and preserving. Excludes agricultural chemicals and miscellaneous manufacturing. 3 Excludes canned fruits, vegetables, preserves, jams, and jellies. 4 Excludes canning and preserving, and sugar. 5 Excludes canning and preserving, and newspapers. ^Excludes printing and publishing. Subarea of New York Standard Metropolitan Statistical Area. 8 Excludes new-hire rate for transportation equipment. ^Excludes tobacco stemming and redrying. Excludes canning and preserving, sugar, and tobacco. n Excludes canning and preserving, printing and publishing. NOTE: Data for the current month are preliminary. SOURCE: Cooperating State agencies listed on inside back cover.
Technical Note
Technical Note Additional information concerning the preparation of the labor force, employment, hours and earnings, and labor turnover series concepts and scope, survey methods, and limitations is contained in technical notes for each of these series, available from the Bureau of Labor Statistics free of charge. Use order blank on page 13-E. INTRODUCTION The statistics in this periodical are compiled from two major sources: household interviews and payroll reports from employers. Data based on household interviews are obtained from a sample survey of the population. The survey is conducted each month by the Bureau of the Census for the Bureau of Labor Statistics and provides a comprehensive measure of the labor force, i.e., the total number of persons 14 years of age and over who are employed or unemployed. It also provides data on their personal and economic characteristics such as age, sex, color, marital status, occupations, hours of work, and duration of unemployment* The information is collected by trained interviewers from a sample of about 35,000 households throughout the country and is based on the activity or status reported for the calendar week including the 12th of the month. Data based on establishment payroll records are compiled each month from mail questionnaires by the Bureau of Labor Statistics, in cooperation with State agencies. The payroll survey provides detailed industry information on nonagricultural wage and salary employment, average weekly hours, average hourly and weekly earnings, and labor turnover for the Nation, States, and metropolitan areas. The figures are based on payroll reports from a sample of establishments employing about 25 million nonfarm wage and salary workers. The data relate to all workers, full- or part-time, who received pay during the payroll period which includes the 12th of the month. Relation between the household and payroll series The household and payroll data supplement one another, each providing significant types of information that the other cannot suitably supply. Population characteristics, for example, are readily obtained only from the household survey whereas detailed industrial classifications can be reliably derived only from establishment reports. Data from these two sources differ from each other because of differences in definition and coverage, sources of information, methods of collection, and estimating procedures. Sampling variability and response errors are additional reasons for discrepancies. The factors which have a differential effect on levels and trends of the two series are described as follows: Employment Coverage. The household survey definition of employment comprises wage and salary workers (including domestics and other private household workers), selfemployed persons, and unpaid workers who worked 15 hours or more during the survey week in family-operated enterprises. Employment in both farm and nonfarm industries is included. The payroll survey covers only wage and salary employees on the payrolls of nonfarm establishments. Multiple jobholding. The household approach provides information on the work status of the population without duplication since each person is classified as employed, unemployed, or not in the labor force. Employed persons holding more than one job are counted only once, and are classified according to the job at which they worked the greatest number of hours during the survey week. In the figures based on establishment records, persons who worked in more than one establishment during the reporting period are counted each time their names appear on payrolls. Unpaid absences from jobs. The household survey includes among the employed all persons who had jobs but were not at work during the survey week that is, were not working or looking for work but had jobs from which they were temporarily absent because of illness, bad weather, vacation, labor-management dispute, or because they were taking time off for various other reasons, whether or not they were paid by their employers for the time off. In the figures based on payroll reports, persons on paid sick leave, paid vacation, or paid holiday are included, but not those on leave without pay for the entire payroll period. Hours of Work The household survey measures hours actually worked whereas the payroll survey measures hours paid for by employers. In the household survey data, all persons with a job but not at work are excluded from the hours distributions and the computations of average hours. In the payroll survey, employees on paid vacation, paid holiday, or paid sick leave are included and assigned the number of hours for which they were paid during the reporting period. Comparability of the household interview data with other series Unemployment insurance data. The unemployed total from the household survey includes all persons who did 1-E
not work at all during the survey week and were looking for work or were waiting to be called back to a job from which they had been laid off, regardless of whether or not they were eligible for unemployment insurance. Figures on unemployment insurance claims, prepared by the Bureau of Employment Security of the Department of Labor, exclude persons who have exhausted their benefit rights, new workers who have not earned rights to unemployment insurance, and persons losing jobs not covered by unemployment insurance systems (agriculture, State and local government, domestic service, self-employed, unpaid family work, nonprofit organizations, and firms below a minimum size). In addition, the qualifications for drawing unemployment compensation differ from the definition of unemployment used in the household survey. For example, persons with a job but not at work and persons working only a few hours during the week are sometimes eligible for unemployment compensation, but are classified as employed rather than unemployed in the household survey. Agricultural employment estimates of the Department of Agriculture. The principal differences in coverage are the inclusion of persons under 14 in the Statistical Research Service (SRS) series and the treatment of dual jobholders who are counted more than once if they worked on more than one farm during the reporting period. There are also wide differences in sampling techniques and collecting and estimating methods, which cannot be readily measured in terms of impact on differences in level and trend of the two series. Comparability of the payroll employment data with other series Statistics on manufactures and business, Bureau of the Census, BLS establishment statistics on employment differ from employment counts derived by the Bureau of the Census from its censuses or annual sample surveys of manufacturing establishments and the censuses of business establishments. The major reasons for some noncomparability are different treatment of business units considered parts of an establishment, such as central administrative offices and auxiliary units, the industrial classification of establishments, and different reporting patterns by multiunit companies. There are also differences in the scope of the industries covered, e.g., the Census of Business excludes contract construction, professional services, public utilities, and financial establishments, whereas these are included in BLS statistics. County Business Patterns. Data in County Business Patterns, published jointly by the U.S. Departments of Commerce and Health* Education, and Welfare, differ from BLS establishment statistics in the treatment of central administrative offices and auxiliary units. Differences may also arise because of industrial classification and reporting practices. In addition, CBP excludes interstate railroads and government, and coverage is incomplete for some of the nonprofit activities. Employment covered by State unemployment insur~ ance programs. Not all nonfarm wage and salary workers are covered by the unemployment insurance programs. All workers in certain activities, such as interstate railroads, are excluded. In addition, small firms in covered industries are also excluded in 32 States. In general, these are establishments with less than four employees. COLLECTION AND COVERAGE Statistics on the employment status of the population, the personal, occupational, and other economic characteristics of employed and unemployed persons, and related labor force data are compiled for the BLS by the Bureau of the Census in its Current Population Survey (CPS). (A detailed description of this survey appears in "Concepts and Methods Used in Household Statistics on Employment and Unemployment from the Current Population Survey" y Bureau of Labor Statistics Report No. 279. This report is available from BLS on request.) These monthly surveys of the population are conducted with a scientifically selected sample designed to represent the civilian noninstitutional population 14 years and over. Respondents are interviewed to obtain information about the employment status of each member of the household 14 years of age and over. The inquiry relates to activity or status during the calendar week, Sunday through Saturday, which includes the 12th of the month. This is known as the survey week. Actual field interviewing is conducted in the following week. Labor Force Data Inmates of institutions and persons under 14 years of age are not covered in the regular monthly enumerations and are excluded from the population and labor force statistics shown in this report. Data on members of the Armed Forces, who are included as part of the categories "total noninstitutional population'* and "total labor force,** are obtained from the Department ofdefense, Until August 1962, the sample for CPS was spread over 333 areas. Between August 1962 and March 1963, the number of sample areas was increased to 357, comprising 701 counties and independent cities, with coverage in 50 States and the District of Columbia. This revision takes account of the changes in population distribution and characteristics shown by the I960 Census. The number of households remains unchanged at 35,000. Each month, 35,000 occupied units are designated for interview. About 1,500 of these households are visited but interviews are not obtained because the occupants are not found at home after repeated calls or are unavailable for other reasons. This represents a noninterview rate for the survey of about 4 percent. In addition to the 35,000 occupied units there are 5,000 sample units in an average month which are visited but found to be vacant or otherwise not to be enumerated. Part af the sample is changed each month. The rotation plan provides for approximately three-fourths of the sample to be common from one month to the next, and one-half to be common with the same month a year ago. 2-E
CONCEPTS Employed Persons comprise (a) all those who during the survey week did any work at all either as paid employees, or in their own business or profession, or on their own farm, or who worked 15 hours or more as unpaid workers on a farm or in a business operated by a member of the family, and (b) all those who were not working or looking for work but who had jobs or businesses from which they were temporarily absent because of illness, bad weather, vacation, or labor-management dispute, or because they were taking time off for various other reasons, whether or not they were paid by their employers for the time off. Each employed person is counted only once. Those who held more than one job are counted in the job at which they worked the greatest number of hours during the survey week. Included in the total are employed citizens of foreign countries, temporarily in the United States, who are not living on the premises of an Embassy (e.g., Mexican migratory farm workers). Excluded are persons whose only activity consisted of work around the house (such as own home housework, and painting or repairing own home) or volunteer work for religious, charitable, and similar organizations* Unemployed Persons comprise all persons who did not work at all during the survey week and were looking for work, regardless of whe.ther or not they were eligible for unemployment insurance. Also included as unemployed are those who did not work at all and (a) were waiting to be called back to a job from which they had been laid off; or (b) were waiting to report to a new wage or salary job within 30 days (and were not in school during the survey week); or (c) would have been looking for work except that they were temporarily ill or believed no work was available in their line of work or in the community. Persons in this latter category will usually be residents of a community in which there are only a few dominant industries which were shut down during the survey week. Not included in this category are persons who say they were not looking for work because they were too old, too young, or handicapped in any way. The Unemployment Rate represents the number unemployed as a percent of the civilian labor force, i.e., the sum of the employed and unemployed. This measure can also be computed for groups within the labor force classified by sex, age, marital status, color, etc. When applied to industry and occupation groups, the labor force base for the unemployment rate also represents the sum of the employed and the unemployed, the latter classified according to industry and occupation of their latest full-time civilian job. Duration of Unemployment represents the length of time (through the current survey week) during which persons classified as unemployed had been continuously looking for work or would have been looking for work except for temporary illness, or belief that no work was available in their line of work or in the community. For persons on layoff, duration of unemployment represents the number of full weeks since the termination of their most recent employment. Average duration is an arithmetic mean computed from a distribution by single weeks of unemployment. The Civilian Labor Force comprises the total of all civilians classified as employed or unemployed in accordance with the criteria described above. The "total labor force M also includes members of the Armed Forces stationed either in the United States or abroad. Not in Labor Force includes all civilians 14 years and over who are not classified as employed or unemployed. These persons are further classified as "engaged in own home housework," "in school," "unable to work" because of long-term physical or mental illness, and "other." The "other" group includes for the most part retired persons, those reported as too old to work, the voluntarily idle, and seasonal workers for whom the survey week fell in an "off" season and who were not reported as unemployed. Persons doing only incidental unpaid family work (less than 15 hours) are also classified as not in the labor force. Occupation, Industry, and Class of Worker apply to the job held in the survey week. Persons with two or more jobs are classified in the job at which they worked the greatest number of hours during the survey week. The occupation and industry groups used in data derived from the CPS household interviews are defined as in the I960 Census of Population. Information on the detailed categories included in these groups is available upon request. The industrial classification system used in the Census of Population and the current Population Survey differs somewhat from that used by the BLS in its reports on employment, by industry. Employment levels by industry from the household survey, although useful for many analytical purposes, are not published in order to avoid public misunderstanding since they differ from the payroll series because of differences in classification, sampling variability, and other reasons. The industry figures from the household survey are used as a base for published distributions on hours of work, v unemployment rates, and other characteristics of industry groups such as age, sex, and occupation. The class-of-worker breakdown specifies "wage and salary workers," subdivided into private and government workers, "self-employed workers," and "unpaid family workers." Wage and salary workers receive wages, salary, commission, tips, or pay in kind from a private employer or from a governmental unit. Self-employed persons are those who work for profit or fees in their own business, profession, or trade, or operate a farm. Unpaid family workers are persons working without pay for 15 hours a week or more on a farm or in a business operated by a member of the household to whom they are related by blood or marriage. Hours of Work statistics relate to the actual number of hours worked during the survey week. For example, a person who normally works 40 hours a week but who was off on the Veterans Day holiday would be reported as working 32 hours even though he was paid for the holiday. 3-E
For persons working in more than one job, the figures relate to the number of hours worked in all jobs during the week. However, all the hours are credited to the major job. Persons who worked 35 hours or more in the survey week are designated as working "full time"; persons who worked between 1 and 34 hours are designated as working "part time." Part-time workers are classified by their usual status at their present job (either full time or part time) and by their reason for working part time during the survey week (economic or other reasons). "Economic reasons'* include: Slack work, material shortages, repairs to plant or equipment, start or termination of job during the week, and inability to find fulltime work. "Other reasons" include: Labor dispute, bad weather, own illness, vacation, demands of home housework, school, no desire for full-time work and fulltime worker only during peak season. ESTIMATING METHODS The estimating procedure is essentially one of using sample results to obtain percentages of the population in a given category. The published estimates are then obtained by multiplying these percentage distributions by independent estimates of the population. The principal steps involved are shown below. Under the estimation methods used in the CPS, all of the results for a given month become available simultaneously and are based on returns from the entire panel of respondents. There are no subsequent adjustments to independent benchmark data on labor force, employment, or unemployment. Therefore, revisions of the historical data are not an inherent feature of this statistical program. 1. N on inter view adjustment. The weights for all interviewed households are adjusted to the extent needed to account for occupied sample households for which no information was obtained because of absence, impassable roads, refusals, or unavailability for other reasons. This adjustment is made separately by groups of sample areas and, within these, for six groups color (white and nonwhite) within the three residence categories (urban, rural nonfarm, and rural farm). The proportion of sample households not interviewed varies from 3 to 5 percent depending on weather, vacations, etc. 2. Ratio estimates. The distribution of the population selected for the sample may differ somewhat, by chance, from that of the Nation as a whole, in such characteristics as age, color, sex, and residence. Since these population characteristics are closely correlated with labor force participation and other principal measurements made from the sample, the latter estimates can be substantially improved when weighted appropriately by the known distribution of these population characteristics. This is accomplished through two stages of ratio estimates as follows: a. First-stage ratio estimate. This is the procedure in which the sample proportions are weighted by the known I960 Census data on the color-residence distribution of the population. This step takes into account the differences existing at the time of the I960 Census between the color-residence distribution for the Nation and for the sample areas. b. Second-stage ratio estimate. In this step, the sample proportions are weighted by independent current estimates of the population by age, sex, and color. These estimates are prepared by carrying forward the most recent census data (I960) to take account of subsequent aging of the population, mortality, and migration between the United States and other countries. 3. Composite estimate procedure. In deriving statistics for a given month, a composite estimating procedure is used which takes account of net changes from the previous month for continuing parts of the sample (75 percent) as well as the sample results for the current month. This procedure reduces the sampling variability especially of month-to-month changes but also of the levels for most items. Reliability of the Estimates Since the estimates are based on a sample, they may differ from the figures that would have been obtained if it were possible to take a complete census using the same schedules and procedures. The standard error is a measure of sampling variability, that is, the variations that might occur by chance because only a sample of the population is surveyed. The chances are about 2 out of 3 that an estimate from the sample would differ from a complete census by less than the standard error. The chances are about 19 out of 20 that the difference would be less than twice the standard error. Table A shows the average standard error for the major employment status categories, by sex, computed from data for past months. Estimates of change derived from the survey are also subject to sampling variability. The standard error of change for consecutive months is also shown in table A. The standard errors of level shown in table A are acceptable approximations of the standard errors of year to year change. Table A. Average standard error of major employment status categories Employment status and sex BOTH SEXES (In thousands) Labor force and total employment Nonagricultural employment.... MALE Labor force and total employment Nonagricultural employment.... FEMALE Labor force and total employment Nonagricultural employment.... Average standard error of Monthly level 250 200 300 100 120 180 200 75 180 75 180 65 Monthto-month change consecutive months only] 180 120 180 100 90 90 120 90 150 55 120 65 4-E
The figures presented in table B are to be used for other characteristics and are approximations of the standard errors of all such characteristics. They should be interpreted as providing an indication of the order of magnitude of the standard errors rather than as the precise standard error for any specific item. The standard error of the change in an item from one month to the next month is more closely related to the standard error of the monthly level for that item than to the size of the specific month-to-month change itself Thus, in order to use the approximations to the standard errors of month-to-month changes as presented in table C, it is first necessary to obtain the standard error of the monthly level of the item in table B, and then find the standard error of the month-to-month change in table C corresponding to this standard error of level. It should be noted that table C applies to estimates of change between 2 consecutive months. For changes between the current month and the same month last year, the standard errors of level shown in table B are acceptable approximations. Table B. Standard error of level of monthly estimates Size of estimate 10... Both sexes or white 5 (In thousands) 5 or white 7 Male 5 or white Female 5 Nonwhite Nonwhite Nonwhite 5 standard error of the monthly level in table C, it may be seen that the standard error of the 500,000 increase is about 135,000. 10. 25. 50. 100 150 200 250 300 Table C Standard error of estimates of month-to-month change Standard error of monthly level (In thousands) Standard error of monthto-month change Estimates relating to agricultural employment All estimates except those relating to agricultural employment 12 26 48 90 130 160 190 220 50... 100.. 250.. 500.. 1,000. 2,500. 5,000. 11 15 24 34 48 75 100 10 14 21 30 40 50 50 14 20 31 43 60 90 110 10 14 21 30 40 50 10 14 22 31 45 70 100 10 14 21 30 40 50 The reliability of an estimated percentage, computed by using sample data for both numerator and denominator, depends upon both the size of the percentage and the size of the total upon which the percentage is based. Where the numerator is a subclass of the denominator, estimated percentages are relatively more reliable than the corresponding absolute estimates of the numerator of the percentage, particularly if the percentage is large (50 percent or greater). Table D shows the standard errors for percentages derived from the survey. Linear interpolation may be used for percentages and base figures not shown in table D. 10,000 140 140 130 Table D. Standard error of percentages 20,000 30,000 40,000 180 210 220 Illustration: Assume that the tables showed the total number of persons working a specific number of hours as 15,000,000, an increase of 500,000 over the previous month. Linear interpolation in the first column of table B shows that the standard error of 15,000,000 is about 160,000. Consequently, the chances are about 68 out of 100 that the sample estimate differs by less than 160,000 from the figure which would have been obtained from a complete count of the number of persons working the given number of hours. Using the 160,000 as the 150 170 Base of percentages (thousands) 150... 250... 500... 1,000.. 2,000.. 3,000.. 5,000.. 10,000. 25,000. 50,000 75,000. 1 or 99.3 2 or 98.3 5 or 95 2*2 4.3 Estimated percentage 10 or 90 15 or 85.3 20 or 80.3 25 or 75 3 35 or 65 8 6.3 50 6 4.3 5-E
Establishment Data COLLECTION Payroll reports provide current information on wage and salary employment, hours, earnings, and labor turnover in nonfarm establishments, by industry and geographic location. Federal-State Cooperation Under cooperative arrangements with State agencies, the respondent fills out only one employment or labor turnover schedule, which is then used for national, State, and area estimates. This eliminates duplicate reporting on the part of respondents and, together with the use of identical techniques at the national and State levels, insures maximum geographic comparability of estimates. State agencies mail the forms to the establishments and examine the returns for consistency, accuracy, and completeness. The States use the information to prepare State and area series and then send the data to the BLS for use in preparing the national series. Shuttle Schedules Two types of data collection schedules are used: Form BLS 790 Monthly Report on Employment, Payroll, and Hours; and Form DL 1219 Monthly Report on Labor Turnover. These schedules are of the "shuttle" type, with space for each month of the calendar year. The schedule is returned to the respondent each month by the collecting agency so that the next month's data can be entered. This procedure assures maximum comparability and accuracy of reporting, since the respondent can see the figures he has reported for previous months. The BLS 790 provides for entry of data on the number of full- and part-time workers, on the payrolls of nonagricultural establishments and, for most industries, payroll and man-hours of production and related workers or nonsupervisory workers for the pay period which most nearly coincides with the standard survey reference week (the calendar week, Sunday through Saturday, which includes the 12th of the month). The labor turnover schedule provides for the collection of information on the total number of accessions and separations, by type, during the calendar month. CONCEPTS Industrial Classification Establishments are classified into industries on the basis of their principal product or activity determined from information on annual sales volume. This information is collected each year on an industry class supplement to the monthly 790 or 1219 report. In the case of an establishment making more than one product or engaging in more than one activity, the entire employment of the establishment is included under the industry indicated by the most important product or activity. All national, State, and area employment, hours, earnings, and labor turnover series are classified in accordance with the Standard Industrial Classification Manual, Bureau of the Budget, 1957. Since many of the published industry series represent combinations of SIC industries, the BLS has prepared a Guide to Employment Statistics of BLS, 1961 which specifies the SIC code or codes covered by each industry title listed in Employment and Earnings, In addition, the Guide provides industry definitions and lists the beginning date of each series. The Guide is available free upon request. Industry Employment Employment data for all except the Federal Government refer to persons on establishment payrolls who received pay for any part of the pay period which includes the 12th of the month. For Federal Government establishments, employment figures represent the number of persons who occupied positions on the last day of the calendar month. Intermittent workers are counted if they performed any service during the month. The data exclude proprietors, the self-employed, unpaid family workers, farm workers, and domestic workers in households. Salaried officers of corporations are included. Government employment covers only civilian employees; Federal military personnel are excluded from total nonagricultural employment. Persons on an establishment payroll who are on paid sick leave (when pay is received directly from the firm), on paid holiday or paid vacation, or who work during a part of the pay period and are unemployed or on strike during the rest of the period, are counted as employed. Not counted as employed are persons who are laid off, on leave without pay, or on strike for the entire period, or who are hired but do not report to work during the period. Industry Hours and Earnings Hours and earnings data are derived from reports of payrolls and man-hours for production and related workers, construction workers, or nonsupervisory employees. These terms are defined below. When the pay period reported is longer than 1 week, the figures are reduced to a weekly basis. Production and related workers include working foremen and all nonsupervisory workers (including leadmen and trainees) engaged in fabricating, processing, assembling, inspection, receiving, storage, handling, packing, warehousing, shipping, maintenance, repair, janitorial and watchman services, product development, auxiliary production for plant's own use (e.g., power plant), and recordkeeping and other services closely associated with the above production operations. Construction workers relate to the following employees in the contract construction division: Working foremen, journeymen, mechanics, apprentices, laborers, etc., whether working at the site of construction or in shops or yards, at jobs (such as precutting and p re assembling) ordinarily performed by members of the construction trades. 6-E
Nonsupervisory employees include employees (not above the working supervisory level) such as office and clerical workers, repairmen, salespersons, operators, drivers, attendants, service employees, linemen, laborers, janitors, watchmen, and similar occupational levels, and other employees whose services are closely associated with those of the employees listed. Payroll covers the payroll for full and part-time production, construction, or nonsupervisory workers who received pay for any part of the pay period which includes the 12th of the month. The payroll is reported before deductions of any kind, e.g., for old-age and unemployment insurance, group insurance, withholding tax, bonds, or union dues; also included is pay for overtime, holidays, vacations, and sick leave paid directly by the firm* Bonuses (unless earned and paid regularly each pay period), other pay not earned in pay period reported (e.g., retroactive pay), and the value of free rent, fuel, meals, or other payment in kind are excluded. Man-hours cover man-hours worked or paid for, during the pay period which includes thel2thof the month, for production, construction, and nonsupervisory workers. The man-hours include hours paid for holidays and vacations, and for sick leave when pay is received directly from the firm. Overtime hours cover premium overtime hours of production and related workers during the pay period which includes the 12th of the month. Overtime hours are those for which premiums were paid because the hours were in excess of the number of hours of either the straight-time workday or workweek. Weekend and holiday hours are included only if premium wage rates were paid. Hours for which only shift differential, hazard, incentive, or other similar types of premiums were paid are excluded. Gross Average Hourly and Weekly Earnings Average hourly earnings for manufacturing and nonmanufacturing industries are on a "gross" basis, reflecting not only changes in basic hourly and incentive wage rates, but also such variable factors as premium pay for overtime and late-shift work, and changes in output of workers paid on an incentive plan. Shifts in the volume of employment between relatively high-paid and low-paid work and changes in workers' earnings in individual establishments also affect the general earnings averages. Averages for groups and divisions further reflect changes in average hourly earnings for individual industries. Averages of hourly earnings differ from wage rates. Earnings are the actual return to the worker for a stated period of time, while rates are the amounts stipulated for a given unit of work or time. The earnings series, however, does not measure the level of total labor costs on the part of the employer since the following are excluded: Irregular bonuses, retroactive items, payments of various welfare benefits, payroll taxes paid by employers, and earnings for those employees not covered under the production-worker or nonsupervisory-employee definitions. Gross average weekly earnings are derived by multiplying average weekly hours Dy average hourly earnings. Therefore, weekly earnings are affected not only by changes in gross average hourly earnings, but also by changes in the length of the workweek, part-time work, stoppages for varying causes, labor turnover, and absenteeism. Average Weekly Hours The workweek information relates to the average hours for which pay was received, and is different from standard or scheduled hours. Such factors as absenteeism, labor turnover, part-time work, and stoppages cause average weekly hours to be lower than scheduled hours of work for an establishment. Group averages further reflect changes in the workweek of component industries. Average Overtime Hours The overtime hours represent that portion of the gross average weekly hours which were in excess of regular hours and for which premium payments were made. If an employee worked on a paid holiday at regular rates, receiving as total compensation his holiday pay plus straight-time pay for hours worked that day, no overtime hours would be reported. Since overtime hours are premium hours by definition, gross weekly hours and overtime hours do not necessarily move in the same direction, from month-to-month; for example, premiums may be paid for hours in excess of the straight-time workday although less than a full week is worked. Diverse trends at the industry-group level may also be caused' by a marked change in gross hours for a component industry where little or no overtime was worked in both the previous and current months. In addition, such factors as stoppages, absenteeism, and labor turnover may not have the same influence on overtime hours as on gross hours. Railroad Hours and Earnings The figures for class I railroads (excluding switching and terminal companies) are based on monthly data summarized in the M-300 report of the Interstate Commerce Commission and relate to all employees who received pay during the month, except executives, officials, and staff assistants (ICC group I). Gross average hourly earnings are computed by dividing total compensation by total hours paid for. Average weekly hours are obtained by dividing the total number of hours paid for, reduced to a weekly basis, by the number of employees, as defined above. Gross average weekly earnings are derived by multiplying average weekly hours by average hourly earnings. Spendable Average Weekly Earnings Spendable average weekly earnings in current dollars are obtained by deducting estimated Federal social security and income taxes from gross weekly earnings. The amount of income tax liability depends on the number of dependents supported by the worker, as well as on the level of his gross income. To reflect these variables, spendable earnings are computed for a worker with no dependents, and a worker with three dependents. The computations are based on the gross average' weekly earnings for all production or nonsupervisory workers in the industry division without regard to marital status, family composition, or total family income. 7-E
"Real" earnings are computed by dividing the current Consumer Price Index into the earnings averages for the- current month. The resulting level of earnings expressed in 1957-59 dollars is thus adjusted for changes in purchasing power since the base period. Average Hourly Earnings Excluding Overtime Average hourly earnings excluding premium overtime pay are computed by dividing the total productionworker payroll for the industry group by the sum of total production-worker man-hours and one-half of total overtime man-hours* Prior to January 1956, these data were based on the application of adjustment factors to gross average hourly earnings (as described in the Monthly Labor Review, 1950, pp. 537-540), Both methods eliminate only the earnings due to overtime paid for at 1/4 times the straight-time rates* No adjustment is made for other premium payment provisions, such as holiday work, late-shift work, and overtime rates other than time and one-half* Indexes of Aggregate Weekly Payrolls and Man-Hours The indexes of aggregate weekly payrolls and manhours are prepared by dividing the current month's aggregate by the monthly average for the 1957-59 period* The man-hour aggregates are the product of average weekly hours and production-worker employment, and the payroll aggregates are the product of gross average weekly earnings and production-worker employment* Labor Turnover Labor turnover is the gross movement of wage and salary workers into and out of employed status with respect to individual establishments* This movement, which relates to a calendar month, is divided into two broad types: Accessions (new hires and rehires) and separations (terminations of employment initiated by either employer or employee)* Each type of action is cumulated for a calendar month and expressed as a rate per 100 employees* The data relate to all employees, whether full- or part-time, permanent or temporary, including executive, office, sales, other salaried personnel, and production workers* Transfers to another establishment of the company are included, beginning with January 1959. Accessions are the total number of permanent and temporary additions to the employment roll, including both new and re hired employees* New hires are temporary or permanent additions to the employment roll of persons who have never before been employed in the establishment (except employees transferring from another establishment of the same company) or of former employees not recalled by the employrr. Other accessions, which are not published separately but are included in total accessions, are all additions to the employment roll which are not classified as new hires, including transfers from another establishment of the company* Separations are terminations of employment during the calendar month and are classified according to cause: Quits, layoffs, and other separations, as defined as follows: Quits are terminations of employment initiated by employees, failure to report after being hired, and unauthorized absences, if on the last day of the month the person has been absent more than 7 consecutive calendar days. Layoffs are.suspensions without pay lasting or expected to last more than 7 consecutive calendar days, initiated by the employer without prejudice to the worker. Other separations, which are not published separately but are included in total separations, are terminations of employment because of discharge, permanent disability, death, retirement, transfers to another establishment of the company, and entrance into the Armed Forces for a period expected to last more than 30 consecutive calendar days. Comparability With Employment Series Month-to-month changes in total employment in manufacturing industries reflected by labor turnover rates are not comparable with the changes shown in the Bureau's employment series for the following reasons: Accessions and separations are computed for the entire calendar month; the employment reports refer to the pay period which includes the 12th of the month; and employees on strike are not counted as turnover actions although such employees are excluded from the employment estimates if the work stoppage extends through the report period. ESTIMATING METHODS The principal features of the estimating procedure used to prepare estimates of employment for the industry statistics are the use of the "link relative" technique, which is a form of ratio estimation, periodic adjustment of employment levels to new benchmarks, and (3) the use of a modified cutoff type of sample. The "Link Relative" Technique From a sample of establishments, which report for both the previous and current months, the ratio of current month employment to that of the previous month is computed. The estimates of employment (all employees, including production and nonproduction workers together) for the current month are obtained by multiplying the estimates for the previous month by these "link relatives." Other features of the general procedures used for estimating industry employment, hours, earnings, and labor turnover statistics are described in the table on page 12-E. Further details are given in the technical notes on Afeasurement of Employment, Hours, and Earnings in NonagrU cultural Industries and on Measurement of Labor Turnover, which are available upon request. A number of industries are stratified by size of establishment and/or by region, and the stratified production- or nonsupervisory-worker data are used to weight the hours and earnings into broader industry groupings. Accordingly, the basic estimating cell for an employment, hours, or earnings series, as the term is used in the summary of computational methods on page 12-E, may be a whole industry or a size stratum, a region stratum, or a size stratum of a region within an industry. 8-E
Benchmark Adjustments Employment estimates are periodically compared with comprehensive counts of employment which provide "benchmarks" for the various nonagricultural industries, and appropriate adjustments are made as indicated. The industry estimates are currently projected from March 1963 levels; normally, benchmark adjustments are made annually. The primary source of benchmark information is the employment data, by industry, compiled quarterly by State agencies from reports of establishments covered under State unemployment insurance laws. These tabulations, covering three-fourths of the total nonfarm employment in the United States, are prepared under the direction of the Bureau of Employment Security. Benchmark data for the residual are obtained from the records of the Social Security Administration, the Interstate Commerce Commission, and a number of other agencies in private industry or government. The estimates relating to the benchmark month are compared with new benchmark levels, industry by industry. If revisions are necessary, the monthly series of estimates are adjusted between the new benchmark and the preceding one, and the new benchmark for each industry is then carried forward progressively to the current month by use of the sample trends. Thus, under this procedure, the benchmark is used to establish the level of employment, while the sample is used to measure the month-to-month changes in the level. Data for all months between the previous benchmark and the month in which the adjusted series is published are therefore subject to revision. To provide users of the data with a convenient reference source for the revised data, the BLS publishes as soon as possible after each benchmark revision a summary volume of employment, hours, earnings, and labor turnover statistics. The current volume in this series is Employment and Earnings Statistics for the United States, 1909-64, Bulletin 1312-2 (Dec. ), and contains monthly statistics from the earliest date of availability through August. THE SAMPLE Design The sample design used in the BLS establishment employment and labor turnover statistics programs is that of a modified cutoff sample. In a cutoff design, all establishments in a category are listed in sequence by number of employees. A cutoff point is selected in terms of the number of employees in an establishment, and only establishments above the cutoff point are included in the design. At present, sample selection is made by the cooperating State agencies at the area level with supplementation for establishments in sections of the State lying outside of the defined areas. The national sample therefore is then the sum of all the State samples. In cutoff sampling, the general objective is to obtain a sample comprising a large enough proportion of universe employment so that satisfactory estimates can be prepared. Since employer participation in the BLS programs is voluntary, some establishments above the cutoff may decline to report. To replace these in the design, reports are solicited from the next largest establishments below the cutoff until the desired employment coverage is attained. In addition, to meet the needs of preparing estimates of weekly hours and hourly earnings, procedures were introduced to secure representation of the smaller establishments in each industry. Because of this procedure, and also because sampling takes place primarily at the level of the metropolitan areas, which vary greatly in size, the sample includes a considerable number of small establishments, together with a very substantial proportion of the larger establishments in American industry. In the context of the BLS employment and labor turnover statistics program, with their emphasis on producing timely data at minimum cost, a sample must be obtained which will provide coverage of a sufficiently large segment of the universe to provide reasonably reliable estimates that can be published promptly and regularly. The present sample meets these specifications for most industries. With its use, the BLS is able to produce preliminary estimates each month for many industries and for many geographic levels within a few weeks after reports are mailed by respondents, and at a somewhat later date, statistics in considerably greater industrial detail. The tendency of such a sample to produce biased ^estimates of the level of earnings for certain industries is counteracted by the stratified estimating procedure described under "Estimating Methods." Coverage The BLS sample of establishment employment and payrolls is the largest monthly sampling operation in the field of social statistics. The table that follows shows the approximate proportion of total employment in each industry division covered by the group of establishments furnishing monthly employment data. The coverage for individual industries within the division may vary from the proportions shown. Approximate size and coverage of BLS employment and payrolls sample, March 19631 Mining. Industry division Transportation and public utilities! Railroad transportation (ICC) Other t transportation and public utilities Wholesale and retail trade Finance, insurance and real Service and miscellaneous... Governments Federal (Civil Service Commission) 2 State and local Number reported 287,000 582,000 10,753,000 Employees 737,000 1,711,000 2,265,000 1,020,000 1,541,000 2,334,000 3,459,000 Percent of total 47 23 64 97 55 20 36 19 100 50 ISince a few establishments do not report pay rail and manhour Information, hours and earnings estimates may be based on a slightly smaller sample than employment estimates* otate and area estimates of Federal employment are based on reports from a sample of Federal establishments, collected through the BLS-State cooperative program. 9-E
The table below shows the approximate coverage, in terms of employment, of the labor turnover sample. Approximate sfze and coverage of BLS labor turnover sample, March 1963 Communications Industry Number reported 9,131,000 58,000 62,000 578,000 25,000 Reliability of the Employment Estimate Employees Percent of total 55 75 42 85 73 One measure of the reliability of an employment estimate projected from a benchmark is the amount by which it differs from the new benchmark at the next adjustment period. The BLS uses this criterion instead of the standard error of the estimates, since it is not possible to compute a mathematically precise statement of error unless the estimates are based on a probability sample. An approximation of the accuracy of the BLS employment estimates is shown by the following table: The high degree of reliability of BLS estimates is due to the relatively large percentage of the employment universe covered by the sample, the frequent adjustments of employment estimates to benchmark levels, and the use of special techniques, such as stratification by size and/or region. Differences between the benchmarks and the estimates, as well as the sampling and response errors, result from changes in the industrial classification of individual establishments (resulting from changes in their product), which are not reflected in the levels of estimates until the data are adjusted to new benchmarks. At more detailed industry levels, particularly within manufacturing,, changes in classification are the major cause of benchmark adjustments; however, it becomes of less importance at broader aggregations of industries. Another cause of differences, generally minor, between the estimates and the benchmark arises from improvements in the quality of benchmark data. For the most recent months, national estimates of employment, hours, and earnings are preliminary, and are so footnoted in the tables. These particular figures are based on less than the full sample and consequently are subject to revisions when all the reports in the sample have been received. Studies of these revisions of preliminary estimates in the past indicate that they have been relatively small (and most frequently upward) for employment, and even smaller for hours and earnings. Nonagriculturcl payroll employment estimates, by industry division, as a percentage of the benchmark for recent years Industry division Mining Contract construction.... Manufacturing Transportation and public utilities Wholesale and retail trade. Finance, insurance, and real estate Service and miscellaneous Government 1961 99 99 99 100 100 10 99 1962 99.3 99 9 99 100 100 99 98.0 1963 10 100.3 101 100 100 99 100 10 For some detailed industries, the relative size of the correction to benchmarks is somewhat greater than is indicated for the major industry divisions in the preceding table. STATISTICS FOR STATES AND AREAS State and area employment, hours, earnings, and labor turnover data are collected and prepared by State agencies in cooperation with BLS. The area statistics relate to metropolitan areas. Definitions for all areas are published each year in the issue of Employment and Earnings that contains State and area annual averages. Changes in definitions are noted as they occur. Additional industry detail may be obtained from the State agencies listed on the inside back cover of each issue. These statistics are based on the same establishment reports used by BLS for preparing national estimates. For employment, the sum of the State figures may differ slightly from the equivalent official U.S. totals on a national basis, because some States have more recent benchmarks than others and because of the effects of differing industrial and geographic stratification. Users of State and area employment, hours, and earnings statistics may be interested in Employment and Earnings Statistics for States and Areas, 1939-63, BLS Bulletin 1370-1. For the States and the areas shown in the B and C sections of this periodical, all the annual average data for the detailed industry statistics currently published by each cooperating State agency are presented from the earliest date of availability of each series through 1963. 10-E
Seasonal Adjustment Many economic statistics reflect a regularly recurring seasonal movement which can be estimated on the basis of past experience. By eliminating that part of the change which can be ascribed to usual seasonal variation, it is possible to observe the cyclical and other nonseasonal movements in the series. However, in evaluating deviations from the seasonal pattern that is, changes in a seasonally adjusted series it is important to note that seasonal adjustment is merely an approximation based on past experience. Seasonally adjusted estimates have a broader margin of possible error than the original data on which they are based, since they are subject not only to sampling and other errors but, in addition, are affected by the uncertainties of the seasonal adjustment process itself. Seasonally adjusted series for selected labor force and establishment data are published regularly in Employment and Earnings, The seasonal adjustment method used for these series is an adaptation of the standard ratio-ro-mnvinr average method, with a provision for "moving* adjustment factors to take account of changing seasonal patterns. A detailed description and illustration of the basic method was published in the August I960 Monthly Labor Review, and a revised version is described in the 1962 Report of the President's Committee to Appraise Employment and Unemployment Statistics, Measuring Employment and Unemployment, Appendix G, "The Bureau of Labor Statistics Seasonal Factor Method." For establishment data, the seasonally adjusted series on weekly hours and labor turnover rates for industry groupings are computed by applying factors directly to the corresponding unadjusted series, but seasonally adjusted employment totals for all employees and production workers by industry divisions are obtained by summing the seasonally adjusted data which are published for component industries. Seasonally adjusted aggregate weekly man-hours for mining, contract construction, and the major industries in manufacturing are obtained by multiplying average weekly hours, seasonally adjusted, by production workers, seasonally adjusted. For total, manufacturing, and durable and nondurable goods, aggregate weekly manhours, seasonally adjusted, are obtained by summing the aggregate weekly man-hours, seasonally adjusted, for the appropriate component industries. The seasonally adjusted establishment data for Federal Government are based on a series which excludes the Christmas temporary help employed by the Post Office Department in December. The employment of these workers constitutes the only significant seasonal change in Federal Government employment during the winter months. Furthermore, the volume of such employment may change substantially from year to year because of administrative decisions by the Post Office Department. Hence, it was considered desirable to exclude this group from the data upon which the seasonally adjusted series is based. Factors currently in use for the establishment data are shown in the December Employment and Earnings, and revisions will be made coincidental with the adjustment of series to new benchmark levels. For each of the three major labor force components agricultural and nonagricultural employment, and unemployment data for four age-sex groups (male and female workers under age 20, and age 20 and over) are separately adjusted for seasonal variation and are then added to give seasonally adjusted total figures. In order to produce seasonally adjusted total employment and civilian labor force data, the appropriate series are aggregated. The seasonally adjusted rate of unemployment is derived by dividing the seasonally adjusted figure for total unemployment (the sum of four seasonally adjusted age-sex components) by the figure for the seasonally adjusted civilian labor force (the sum of twelve seasonally adjusted age-sex components). The seasonal adjustment factors applying to current data are based on a pattern shown by past experience. These factors are revised in the light of the pattern revealed by subsequent data. Revised seasonally adjusted series for major components of the labor force based on data through December are published in the February Employment and Earnings. Revisions will be made annually as each additional year's data become available. 11-E
Summary of Methods for Computing Industry Statistics on Employment, Hours, Earnings, and Labor Turnover Item Basic estimating cells (industry, region, size, or region/size cell) Aggregate industry levels (divisions, groups and, where stratified, individual cells) Monthly Data All employees All-employee estimate for previous month multiplied by ratio of all employees in current month to all employees in previous month, for sample establishments which reported for both months. Sum of all-employee estimates for component cells. Production or nonsupervisory workers; women employees. All-employee estimate for current month multi - plied by ratio of production or nonsupervisory workers to all employees in sample establishments for current month, ratio of women to all employees. Sum of production-or nonsupervisory-worker estimates, or women estimates, for component cells. Gross average weekly hours Production- or nonsupervisory-worker man-hours divided by number of production or nonsupervisory workers. Average, weighted by production- or nonsupervisory-worker employment, of the average weekly hours for component ceils. Average weekly overtime hours Production-worker overtime man-hours divided by number of production workers. Average, weighted by production-worker employment, of the average weekly overtime hours for component cells. Gross average hourly earnings production- or nonsupervisory-worker payroll divided by total production- or nonsupervisory-worker man-hours. Average, weighted by aggregate man-hours, of the average hourly earnings for component cells. Gross average weekly earnings... Product of gross average weekly hours and average hourly earnings. Product of gross average weekly hours and average hourly earnings. Labor turnover rates (total, men, and women). The number of particular actions (e.g., quits) in reporting firms divided by total employment in those firms. The result is multiplied by 100. For men (or women), the number of men (women) who quit is divided by the total number of men (women) employed. Average, weighted by employment, of the rates for component cells. Annual Average Data All employees and production or nonsupervisory "workers. Sum of monthly estimates divided by 12. Sum of monthly estimates divided by 12. Gross average weekly hours Annual total of aggregate man-hours (productionor nonsupervisory-worker employment multiplied by average weekly hours) divided by annual sum of employment. Annual total of aggregate man-hours for production or nonsupervisory workers divided by annual sum of employment for these workers. Average weekly overtime hours. Annual total of aggregate overtime man-hours (production-worker employment multiplied by average weekly overtime hours) divided by annual sum of employment. Annual total of aggregate overtime man-hours for production workers divided by annual sum of employment for these workers. Gross average hourly earnings Annual total of aggregate payrolls (productionor nonsupervisory-worker employment multiplied by weekly earnings) divided by annual aggregate man-hours. Annual total of aggregate payrolls divided by annual aggregate man-hours. Gross average weekly earnings. Product of gross average weekly hours and average hourly earnings. Product of gross average weekly hours and average hourly earnings. Labor turnover rates, Sum of monthly rates divided by 12. Sum of monthly rates divided by 12. 12-E
UNITED STATES DEPARTMENT OF LABOR Bureau off Labor Statistics Regional Offices U. S. DEPARTMENT OF LABOR BLS Regional Director 18 Oliver Street Boston, Mass. 02110 U. S. DEPARTMENT OF LABOR BLS Regional Director 341 Ninth Avenue New York, N. Y. 10001 U. S. DEPARTMENT OF LABOR BLS Regional Director 1371 Peachtree Street, N. E. Atlanta, Ga. 30309 U. S. DEPARTMENT OF LABOR BLS Regional Director 1365 Ontario Street Cleveland, Ohio 44114 U. S. DEPARTMENT OF LABOR BLS Regional Director 219 South Dearborn Street Chicago, III. 60604 U. S. DEPARTMENT OF LABOR BLS Regional Director 450 Golden Gate Avenue, Box 36017 San Francisco, Calif. 94102 COOPERATING STATE AGENCIES Employment and Labor Turnover Statistics Programs ALABAMA A LASKA ARIZONA ARKANSAS CALIFORNIA COLORADO CONNECTICUT DELAWARE DISTRICT OF COLUMBIA FLORIDA GEORGIA HAWAII IDAHO ILLINOIS INDIANA IOWA KANSAS KENTUCKY LOUISIANA MAINE MARYLAND MASSACHUSETTS MICHIGAN MINNESOTA MISSISSIPPI MISSOURI MONTANA NEBRASKA NEVADA NEW HAMPSHIRE NEW JERSEY NEW MEXICO NEW YORK NORTH CAROLINA NORTH DAKOTA OHIO OKLAHOMA OREGON PENNSYLVANIA RHODE ISLAND SOUTH CAROLINA SOUTH DAKOTA TENNESSEE TEXAS UTAH VERMONT VIRGINIA WASHINGTON WEST VIRGINIA WISCONSIN WYOMING -Department of Industrial Relations, Montgomery 36104 -Employment Security Division, Department of Labor, Juneau 99801 -Unemployment Compensation Division, Employment Security Commission, Phoenix 85005 -Employment Security Division, Department of Labor, Little Rock 72203 -Division of Labor Statistics and Research, Department of Industrial Relations, San Francisco 94101 (Employment). Research and Statistics, Department of Employment, Sacramento 95814 (Turnover). -U. S. Bureau of Labor Statistics, Denver 80202 (Employment). Department of Employment, Denver 80203 (Turnover). -Employment Security Division, Department of Labor, Wethersfield 06109 -Employment Security Commission, Wilmington 19801 -U. S. Employment Service for D. C., Washington 20212 -Industrial Commission, Tallahassee 32304 -Employment Security Agency, Department of Labor', Atlanta 30303 -Department of Labor and Industrial Relations, Honolulu 96 813 -Employment Security Agency, Boise 83701 - Employment Security Administrator, Department of Labor, Chicago 60606 -Employment Security Division, Indianapolis 46204 -Employment Security Commission, Des Moines 50319 -Employment Security Division, Department of Labor, Topeka 66603 -Bureau of Employment Security, Department of Economic Security, Frankfort 40601 -Division of Employment Security, Department of Labor, Baton Rouge 70804 -Employment Security Commission, Augusta 04330 -Department of Employment Security, Baltimore 21201 -Division of Statistics, Department of Labor and Industries, Boston 02108 (Employment). Research and Statistics, Division of Employment Security, Boston 02215 (Turnover). -Employment Security Commission, Detroit 48202 -Department of Employment Security, St. Paul 55101 -Employment Security Commission, Jackson 39205 -Division of Employment Security, Jefferson City 65102 -Unemployment Compensation Commission, Helena 59601 -Division of Employment, Department of Labor, Lincoln 68501 -Employment Security Department, Carson City 89701 -Department of Employment Security, Concord 03301 -Department of Labor and Industry: Bureau of Statistics and Records (Employment); Division of Employment Security (Turnover), Trenton 08625 -Employment Security Commission, Albuquerque 87103 -Research and Statistics Office, Division of Employment, State Department of Labor, 370 Seventh Avenue, New York 10001 -Division of Statistics, Department of Labor, Raleigh 27602 (Employment). Bureau of Employment Security Research, Employment Security Commission, Raleigh 27602 (Turnover). -Unemployment Compensation Division, Workmen's Compensation Bureau, Bismarck 58502 -Division of Research and Statistics, Bureau of Unemployment Compensation, Columbus 43215 -Employment Security Commission, Oklahoma City 73105 -Department of Employment, Salem 97310 -Bureau of Employment Security, Department of Labor and Industry, Harrisburg 17121 -Division of Statistics and Census, Department of Labor, Providence 02903 (Employment). Department of Employment Security, Providence 02903 (Turnover). -Employment Security Commission, Columbia 29202 -Employment Security Department, Aberdeen 57401 -Department of Employment Security, Nashville 37203 -Employment Commission, Austin 78701 -Department of Employment Security, Industrial Commission, Salt Lake City 84110 -Department of Employment Security, Montpelier 05602 -Division of Research and Statistics, Department of Labor and Industry, Richmond 23214 (Employment). Employment Commission, Richmond 23211 (Turnover). -Employment Security Department, Olympia 98501 -Department of Employment Security, Charleston 25305 -Unemployment Compensation Department, Industrial Commission, Madison 53701 -Employment Securitv Commission, Casper 82602