EMPLOYMENT AND EARNINGS AND MONTHLY REPORT ON vol. 15 No. 6 THE LABOR FORCE December 1968

Transcription

1 EMPLOYMENT AND EARNINGS AND MONTHLY REPORT ON vol. 5 No. 6 THE LABOR FORCE December JOSEPH M. FINERTY, EDITOR Highlights JOHN E. BREGGER, ASSOCIATE EDITOR Shown for the first time hours and earnings data for Honolulu, Hawaii (table C9 page 80) p«ge CONTENTS 4 Summary Employment and Unemployment Developments, November 6 Charts Statistical Tables 97 Technical Note Continued on following page.

2 CONTENTS' (CONTINUED) STATISTICAL TABLES SECTION ALABOR FORCE, EMPLOYMENT, AND UNEMPLOYMENT HOUSEHOLD DATA Page Employment Status A : Employment status of the noninstitutional population, 929 to date 2 A 2: Employment status of the noninstitutional population 6 years and over by sex, 947 to date 3 A 3: Employment status of the noninstitutional population by age, sex, and color 5 A 4: Labor force by age, sex, and color 7 A 5: Employment status of persons 62 years of age in the noninstitutional population by color and sex 7 A 6: Employment status of the noninstitutional population 6 years and over by color, age, and sex 8 A 7: Full and parttime status of the civilian labor force by age and sex Characteristics of the Unemployed 9 A 8: Unemployed persons by age and sex 9 A 9: Unemployed persons by marital status, age, sex, and color 20 A 0: Unemployed persons by occupation of last job and sex 20 A : Unemployed persons by industry of last job and sex 2 A 2: Unemployed persons by reason for unemployment, sex, age, and color 2 A3: Unemployed persons by reason for unemployment, duration, sex, and age 22 A 4: Unemployed persons by duration of unemployment 22 A 5: Unemployed persons by duration, sex, age, color, and marital status 23 A 6: Unemployed persons by duration, occupation, and industry of last job Characteristics of the Employed 23 A7: Employed persons by age and sex 24 A8: Employed persons by occupation group, age, and sex 25 A9: Employed persons by major occupation group, color, and sex 26 A20: Employed persons by class of worker, age, and sex 27 A2: Employed persons with a job but not at work by reason, pay status, and sex 27 A22: Persons at work by type of industry and hours of work 28 A23: Persons at work 34 hours by usual status and reason working parttime 28 A24: Nonagricultural workers by full or parttime status 29 A25: Persons at work in nonagricultural industries by full or parttime status, age, sex, color, and marital status 3 A26: Persons at work in nonfarm occupations by full or parttime status and sex Data on 4 and 5 Yearolds 33 A27: Employment status of 45 yearolds by sex and color 33 A28: Employed 45 yearolds by sex, major occupation group, and class of worker Seasonally Adjusted Data 34 A29: Employment status of the noninstitutional population by age and sex, seasonally adjusted 35 A30: Employment status by color, sex, and age, seasonally adjusted 36 A3: Major unemployment indicators, seasonally adjusted 37 A32: Unemployed persons by duration of unemployment, seasonally adjusted 37 A33: Rates of unemployment by age and sex, seasonally adjusted 38 A34: Employed persons by age and sex, seasonally adjusted 38 A35: Employed persons by major occupation group, seasonally adjusted

3 STATISTICAL TABLES(CONTINUED) SECTION BEMPLOYMENT ESTABLISHMENT DATA Page ^ National 39 B : Employees on nonagricultural payrolls, by industry division, 99 to date 40 B2: Employees on nonagricultural payrolls, by industry B3: Women employees on nonagricultural payrolls, by industry 48 B4: Indexes of employment on nonagricultural payrolls, by industry division, 99 to date, monthly data seasonally adjusted 49 B5: Employees on nonagricultural payrolls, by industry, seasonally adjusted 50 B6: Production workers in industrial and construction activities, seasonally adjusted State and Area 52 B7: Employees on nonagricultural payrolls for States and selected areas, by industry division SECTION C HOURS AND EARNINGS ESTABLISHMENT DATA ^ National 63 C : Gross hours and earnings of production or nonsupervisory workers on private nonagricultural payrolls, 947 to date 64 C2: Gross hours and earnings of production or nonsupervisory workers on private nonagricultural payrolls, by industry 76 C3: Employment, hours, and indexes of earnings in the Executive Branch of the. Federal Government 76 C4: Average hourly earnings excluding overtime of production workers on manufacturing payrolls, by industry 77 C5: Gross and spendable average weekly earnings of production or nonsupervisory workers on private nonagricultural payrolls, in current and dollars 77 C6: Indexes of aggregate weekly manhours and payrolls in industrial and construction activities 78 C7: Average weekly hours of production or nonsupervisory workers on private nonagricultural payrolls, seasonally adjusted 79 C8: Indexes of aggregate weekly manhours in industrial and construction activities, seasonally adjusted State and Area 80 C9: Gross hours and earnings of production workers on manufacturing payrolls, by State and selected areas SECTION DLABOR TURNOVER ESTABLISHMENT DATA National 84 D Labor turnover rates in manufacturing, 958 to date 85 D2 Labor turnover rates, by industry D3 Labor turnover rates in manufacturing, by sex and major industry 90 D4 Labor turnover rates in manufacturing, 958 to date, seasonally adjusted ^A State and Area 9 D5: Labor turnover rates in manufacturing for selected States and areas SECTJON EUNEMPLOYMENT INSURANCE DATA 94 E: Insured unemployment under State programs 95 E2: Insured unemployment in 50 major labor areas Quarterly data included in February, May, August, and November issues.

4 Summary Employment and Unemployment Developments, November Employment rose substantially and unemployment declined in November. The unemployment situation improved for all major groups in the labor force, and the overall unemployment rate fell from percent to percent. The November jobless rate was the lowest in over 5 years and below the previous postkorean low reached several times earlier this year ( percent). Unemployment The number of unemployed persons was million in November, down 200,000 from October after seasonal adjustment. There were declines of 00,000 for adult men, 75,000 for women, and 25,000 for teenagers. The seasonally adjusted unemployment rates for adult men ( percent), adult women ( percent), and fulltime workers (percent) all fell in November; the rate for adult men equaled the lowest rate since this series began in 948. The jobless rate for teenagers, at percent, changed only slightly over the month. Unemployment among nonwhite workers dropped from 7 to percent in November. ;For the first months of, the nonwhite rate has averaged 6 percent, the lowest for any comparable period since the Korean war. The jobless rate for white workers decreased from percent in October to percent in November. Unemployment rates for most major occupational groups declined in November and were well below the rates of a year earlier. Jobless rates for operatives ( percent) and nonfarm laborers (6 percent) returned close to their lows recorded in May. The rate for service workers also fell in November, after rising for the last 2 months. The number of persons unemployed 5 weeks or more totaled 350,000 in November (seasonally adjusted), the lowest level in 5 years. Since November, longterm unemployment has declined by over 00,000, The unemployment rate of workers covered under State unemployment insurance programs, at percent in midnovember, was virtually unchanged from the previous month. Industry Employment Nonfarm payroll employment rose 60,000 in November to 68 million (seasonally adjusted). The overthemonth pickup in November was about the same as the monthly average increases for the past 2 years. All major industry divisions except construction and government showed seasonally adjusted employment gains, although the increases were concentrated in services (90,000) and mining (50,000). The rise in mining employment resulted from the return of workers who had been off payrolls in October because of the bituminous coal strike. Manufacturing employment increased by 25,000 (seasonally adjusted) in November, largely as a result of reduced strike activity. Employment gains in machinery, ordnance, and several other industries were partially offset by declines in the transportation equipment, food, and apparel industries. The seasonally adjusted 20,000 decline in November construction employment was due primarily to bad weather conditions. Over the year, construction employment was up by 50,000. The 0,000 decline in State and local government employment in November reflected the effects of the New York teachers' strike. Federal government employment fell for the fifth straight month.

5 Hours and Earnings Average weekly hours for all rank and file employees on private nonagricultural payrolls declined 0 hour from the October level to 37 hours (seasonally adjusted). Nearly all major industry sectors recorded workweek reductions. In manufacturing, the workweek stood at 40 hours, off 0 hour from October but 0. hour higher than a year ago. Shorter hours were reported in most manufacturing industries in November. Average hourly earnings for all rank and file workers were unchanged in November at $2. Because of the decline in the average workweek, however, average weekly earnings fell to $09, a decline of $7 from October. Compared to November, average weekly earnings were up $7 or percent. Civilian Labor Force and Employment The civilian labor force rose to 79.0 million (seasonally adjusted) in November, a gain of 225,000 from October. The advance returned the labor force to its July level. Nearly all of the November rise occurred among adult women. Total employment rose 450,000 (seasonally adjusted) in November, with increases of about 25,000 for adult men and 300,000 for adult women. Agricultural employment declined less than usual between October and November. On a seasonally adjusted basis, the 200,000 increase in agriculture represented the first rise since February; the November level was 50,000 lower than a year ago. Employment in the total nonagricultural sector rose for the fourth straight month, increasing 250,000 in November. Since August, total nonagricultural employment has risen by 500,000. Labor Force Trends in Thus far in, employment has grown more rapidly than the civilian labor force, with a resultant decline in unemployment. The civilian labor force has averaged 78 million in the first months of this year, an increase of nearly million over 500,000 adult men, 725,000 adult women, and 25,000 teenagers. Employment gains were 550,000 for adult men, 800,000 for adult women, and 25,000 for teenagers a total increase of almost million persons. Unemployment, which was virtually unchanged in from the previous year, has been reduced by 25,000 persons in to 2,850,000. The unemployment rate for JanuaryNovember averaged percent, compared with percent annual average rates in 966 and. The rate for adult men edged down from percent in to percent in, and that for adult women declined from to percent. The unemployment rate for teenagers was virtually unchanged from the previous year at percent.

6 Chart. LABOR FORCE AND EMPLOYMENT 953 to date (Seasonally adjusted) Total labor force Total employment Nonagricultural employment MILLIONS Quarterly Averages Monthly Data Chart 2. MAJOR UNEMPLOYMENT INDICATORS 953 to date (Seasonally adjusted) Unemployment rateall civilian workers y^ Percent ot of labc labor rv\""" " Unemployment rate married men Quarterly Averages * Series revised beginning 963 to reflect whether unemployed persons sought fullor parttime jobs Monthly Data

7 Chart 3. 4 PAYROLL EMPLOYMENT IN GOODSPRODUCING INDUSTRIES 957 to date (Seasonally adjusted) MILLIONS N le sooc e; jp Non durabl 3 goods i i mil mi i»i' * 6 V, \gricult jre * 4 Cor tract construe tion 2 Mining 0 9& Quarterly averages iii II n i In ii in MM n ii iii lii iii n nil o Monthly data "Includes selfemployed and unpaid family workers. Note: Data for 2 most recent months are preliminary. Chart 4. MILLIONS 6 PAYROLL EMPLOYMENT IN SERVICEPRODUCING INDUSTRIES 957 to date (Seasonally adjusted) MILLIONS 6 «** Whole ;ale ani retail trade, ^ ^ " ^ fc=d * b=j * Transporta Finarice, insuranc I 3 and real esta Stat j and Deal government E = ; Federal government Serv ices,, ^^ ^ * :ion anj publi : utiliti3s te Quarterly averages ^ [ ^ ^ IIIII Illl III 969 Monthly data ufo 970 Note: Data for 2 most recent months are preliminary.

8 Chart 5. PERCENT 8 UNEMPLOYMENT RATES BY AGE AND SEX 953 to date (Seasonally adjusted) PERCENT Teenagers Quarterly Averages Monthly Date Chart 6. MILLIONS 7 6 Total unemployment 5? 2 / v y TOTAL UNEMPLOYMENT BY DURATION 953 to date (Seasonally adjusted) y ^^ MILLIONS 7 6 n PERCENT 80 DURATION OF UNEMPLOYMENT AS A PERCENT OF THE TOTAL PERCENT Quarterly Averages Monthly Data

9 Chart 7. HOURS OF WORK IN MANUFACTURING, CONTRACT CONSTRUCTION, AND TRADE 957 to date HOURS : toholesa e and retail tr< de,a_ V V" A IV anufac ^ ' A S^on (Seasonally adjusted) ract copv v istruct on \ h OVERTIME HOURS IN MANUFACTURING IIIMIIMMI, (l,,,,,,, iimm.mt m Quarterly averages Monthly data 970 * Includes eating and drinking establishments, not previously available. Note: Data for 2 most recent months are preliminary. Chart 8. DOLLARS 80 AVERAGE WEEKLY EARNINGS IN MANUFACTURING, CONTRACT CONSTRUCTION, AND TRADE 957 to date s*~ n A J l DOLLARS Quarterly averages IIIII III IIIIIIIIIIM i ii ii i mi ii i i i i i i i i i i i 0ii Monthly data 970 * Includes eating and drinking establishments, not previously available. Note: Data for 2 most recent months are preliminary.

10 Chart 9. PERCENT 2 0 UNEMPLOYMENT RATES BY MAJOR OCCUPATION GROUPS 957 to date (Seasonally adjusted) Quarterly Averages Monthly Data PERCENT 2 0 Bluecollar workers 0 VA Farm workers Chart 0. STATE INSURED UNEMPLOYMENT RATES Week ending November 6, (Not seasonally adjusted) 9% S OVER I 68% j 45% H I 239% UNDER 2% BASED ON AV. COVERED EMPLOYMENT 2MOS. ENDING MARCH Insured jobless under State unemployment insurance programs excludes workers who have exhausted their benefit rights, new workers, and persons from jobs not covered by State unemployment insurance programs. Source: Bureau of Employment Security

11 HOUSEHOLD DATA A : Employment status of the noninstitutional population, 929 to date (In thousands) Year and month Total noninstitutional population Total labor force Percent of popula Civilian labor force Employed Agriculture Nonagricultural industries Unemployed Percent of labor force Not seasonally adjusted Seasonally adjusted Not in labor force Persons 4 years of age and over , : November., December., : Tanuary.., February., March April May Tune July August... September October.. November. *Not available. <D 00,380 0,520 02,60 03,660 04,630 05,530 06,520 07,608 03,48 04,527 05,6 06,645 07,72 08,823 0,60,67 2,732 3,8 5,065 6,363 7,88 9,759 2,343 22,98 25,54 27,224 29,236 3,80 33,39 34,224 34,405 34,576 34,744 34,904 35,059 35,249 35,440 35,639 35,839 36,036 36,22 36,420 49,440 50,080 50,680 5,250 5,840 52,490 53,40 53,740 54,320 54,950 55,600 56,80 57,530 60,380 64,560 66,040 65,300 60,970 6, ,80 49,820 50,420 5,000 5,590 52,230 52,870 53,440 54,000 54,60 55,230 55,640 55,90 56,40 55,540 54,630 53,860 57,520 60,68 47,630 45,480 42,400 38,940 38,760 40,890 42,260 44,40 46,300 44,220 45,750 47,520 50,350 53,750 54,470 53,960 52,820 55,250 57,82 0,450 0,340 0,290 0,70 0,090 9,900 0,0 0,000 9,820 9,690 9,60 9,540 9,00 9,250 9,080 8,950 8,580 8,320 8,256 37,80 35,40 32,0 28,770 28,670 30,990 32,50 34,40 36,480 34,530 36,40 37,980 4,250 44,500 43,390 45,00 44,240 46,930 49,557,550 4,340 8,020 2,060 2,830,340 0,60 9,030 7,700 0,390 9,480 8,20 5,560 2,660, ,040 2,270 2, ^ Persons 6 years of age and over 60,94 62,080 62,903 63,858 65,7 65,730 66,560 66,993 68,072 69,409 69,729 70,275 70,92 72,42 73,03 73,442 74,57 75,830 77,78 78,893 80,793 8,582 8,527 79,8 80,869 80,938 8,4 8,770 84,454 84,550 83,792 82,37 82,477 82, ,350 60,62 6,286 62,208 62,07 62,38 63,05 63,643 65,023 66,552 66,929 67,639 68,369 69,628 70,459 70,64 7,833 73,09 74,455 75,770 77,347 78,3 78,057 76,347 77,402 77,447 77,634 78,234 80,887 80,964 80,203 78,546 78,874 79,85 57,039 58,344 57,649 58,920 59,962 60,254 6,8 60,0 62,7 63,802 64,07 63,036 64,630 65,778 65,746 66,702 67,762 69,305 7,088 72,895 74,372 75,28 75,338 73,273 74,4 74,57 75,43 74,93 77,273 77,746 77,432 75,939 76,364 6,609 7,89 7,629 7,656 7,60 6,726 6,50 6,26 6,206 6,449 6,283 5,947 5,586 49,990 5,760 53,239 53,753 54,922 53,903 55,724 57,57 58,23 57,450 5,565 5,458 5,200 4,'944 4,687 4,523 4,36 3,979 3,844 3,759 3,545 3,366 3,462 3,537 3,85 3,996 4,56 4,476 4,07 3,838 3,767 3,607 49,48 50,73 59,065 60,38 60,546 6,759 63,076 64,782 66,726 68,95 70,527 7,460 7,793 69,908 70,653 70,980 7,292 7,935 72,757 73,270 73,325 72,03 72,596 73,00 CD 44,200 43,990 42,230 39,00 38,590 40,230 45, ,3 2,276 3,637 3,288 2,055,883,834 3,532 2,852 2,750 2,859 4,602 3,740 3,852 4,74 3,9 4,070 3,786 3,366 2,875 2,975 2,894 2,79 3,074 3,288 2,929 2,49 2,303 3,64 3,27 2,772 2,606 2,5 2, ,477 42,447 42,708 42,787 42,604 43,093 44,04 44,678 44,660 44,402 45,336 46,088 46,960 47,67 48,32 49,539 50,583 5,394 52,058 52,288 52,527 52,64 52,879 54,765 53,876 53,965 53,99 53,479 50,986 5,088 52,047 53,900 53,744 53,78 Digitized for FRASER

12 HOUSEHOLD DATA A 2: Employment status of the noninstitutional population 6 years and over by sex, 947 to date (In thousands) Year, month, and sex Total noninstitutional popula Total labor force of population Civilian labor force Total Employed Agriculture Nonagricultural industries Unemployed Percent of labor force Not seasonally adjusted Seasonally adjusted MALE " : ' I : , : November. : May June July, August..., September, October.., November. FEMALE I , : November., : May, Tune... July, August..., September, October.., November. 50,968 5,439 5,922 52,352 52,788 53,248 54,248 54,706 55,22 55,547 56,082 56,640 57,32 58,44 58,826 59,626 60,627 6,556 62,473 63,35 64,36 64,740 65,99 65,287 65,379 65,472 65,562 65,646 65,738 52,450 53,088 53,689 54,293 54,933 55,575 56,353 56,965 57,60 58,264 58,983 59,723 60,569 6,65 62,57 63,355 64,527 65,668 66,763 67,829 69,003 69,484 70,050 70,53 70,260 70,367 70,435 70,575 70,683 44,258 44,729 45,097 45,446 46,063 46,46 47,3 47,275 47,488 47,94 47,964 48,26 48,405 48,870 49,93 49,395 49,835 50,387 50,946 5,560 52,398 52,239 52,646 54,665 55,02 54,709 52,879 52,87 52,678 6,683 7,35 7,806 8,42 9,054 9,34 9,429 9,78 20,584 2,495 2,765 22,49 22,56 23,272 23,838 24,047 24,736 25,443 26,232 27,333 28,395 29,343 29,24 29,788 29,529 29,083 29,257 29,660 30, ,686 43,286 43,498 43,89 43,00 42,869 43,633 43,965 4,475 45,09 45,97 45,52 45,886 46,388 46,653 46,600 47,29 47,679 48,255 48,47 48,987 48,805 49,49 5,37 5,473 5,59 49,327 49,253 49,98 6,664 7,335 7,788 8,389 9,06 9,269 9,382 9,678 20,548 2,46 2,732 22,8 22,483 23,240 23,806 24,04 24,704 25,42 26,200 27,299 28,360 29,308 29,086 29,750 29,490 29,044 29,29 29,62 29,987 40,994 4,726 40,926 4,580 4,780 4,684 42,43 4,620 42,62 43,380 43,357 42,423 43,466 43,904 43,656 44,77 44,657 45,474 46,340 46,99 47,479 47,388 48,04 49,363 49,925 49,850 48,72 48,074 47,969 6,045 6,68 6,723 7,340 8,82 8,570 8,750 8,490 9,550 20,422 20,74 2p,63 2,64 2,874 22,090 22,525 23,05 23,83 25,976 26,893 27,83 27,97 27,90 27,82 27,582 27,767 28,289 28,639 6,643 6,358 6,342 6,00 5,533 5,389 5,253 5,200 5,265 5,039 4,«24 4,596 4,532 4,472 4,298 4,069 3,809 3,69 3,547 3,243 3,64 3,086 3,259 3,607 3,64 3,35 3,36 3,046 2,962,248,27,34,59,93,2,008,006,84,244,23 990, ,35 35,368 34,584 35,578 36,248 36,294 37,78 36,48 37,357 38,340 38,532 37,827 38,934 39,43 39,359 40,08 40,849 4,782 42,792 43,675 44,35 44,302 44,754 45,756 46,3 46,499 45,036 45,029 45,007 4,797 5,347 5,409 6,82 6,990 7,459 7,744 7,486 8,367 9,77 9,59 9,623 20,3 20,887 2,87 2,65 22,227 23,000 23,934 25,240 26,22 27,57 27,8 27,00 26,959 26,826 27,067 27,568 27,994,692,559 2,572 2,239,22,85,202 2,344,854,7,84 3,098 2,420 2,486 2,997 2,423 2,472 2,205,94,55,508,48,35,775,548,309,55,79, ,05., ,88 998,039,08,504,320,366,77,488,598,58,452,324,468,477,69,839,669,463,452,332, Digitized for FRASER

13 HOUSEHOLD DATA A 3: Employment status of the noninstitutional population by age, sex, and color November (In thousands) Total labor force Civilian labor force Not in labor fo rce Unemployed Age, sex, and color Number Percent population Total Employed Number Percent labor force Total Keeping house Going to school Unable to work Other reasons MALE 52,678 6,640 3,792,52 2, ,98 5,2 3,367,486,880 47,969 4,63 2,982,274,707, ,060 4,228 3,457 2,9, ,506 3,945 3,258 2,07,50, , to 24 years 25 to 29 years, 30 to 34 years to 39 years 40 to 44 years 45 to 49 years 46,78 6,765 32,904 6,66 5,308 5,336 5,692 5,535 4, ,664 4,980 3,639 5,705 4,99 5,05 5,58 5,465 4,844 42,875 4,759 3,86 5,606 4,930 4,98 5,54 5,382 4, ,835,23, ,247, , to 64 years 65 to 69 years 70 years and over 7,049 4,40 2,909 2,68, ,045 4,36 2,909 2,68, ,930 4,069 2,860 2,2, , ,768,664 4, ,079,48 3,598 WHITE MALE 47,380 5,853 3,347,347 2, ,264 4,473 2,960,323,637 43,292 4,05 2,676,62, ,544 3,642 2,952,868, ,933 3,426 2,804,804,000, , to 24 years 42,039 5,952 29,624 0,244 9,925 9, ,30 4,340 28,50 9,566 9,575 9,370 38,67 4,62 28,47 9,439 9,473 9, ,30,097, , , ,463 3,789 2,674, ,460 3,786 2,674,994 6,36 3,73 2,63, , , ,704 NONWHITE MALE 5, , , , , ,280,230, , ,29,3, , ,038,096,

14 HOUSEHOLD DATA A 3: Employment status of the noninstitutional population by age, sex, and color Continued November (In thousands) Total labor force Civilian labor force Unemployed Not in labor force Age, sex, and color Percent of population Employed Percent of labor force Keeping house Going school Unable work 6 years and over 6 to 2 years 6 to 9 years 6 and 7 years 8 and 9 years FEMALE 30,024 4,880 2,857,083, ,987 4,859 2,848,082,765 28,639 4,328 2,457 96,540, ,658 5,753 4,28 2,526,692 34,585, ,75 3,867 3,354 2,285, to 64 years 20ft)24 years 25 to 54 years 25 to 29 years 30 to 34 years 35 to 39 years 40 to 44 years 45 to 49 years 50 to 54 years )... 26,0 4,422 7,669 2,93 2,459 2,756 3,278 3,3 2, ,082 4,405 7,658 2,909 2,457 2,754 3,277 3,30 2,952 25,66 4,30 7,05 2,808 2,339 2,637 3,92 3,242 2, ,966 3,483 8,55 3,590 3,59 2,965 2,93 2,877 2,633 25,396 2,743 7,573 3,495 3,05 2,869 2,858 2,769 2, to 64 years 55 to 59 years 60 to 64 years 65 years and over 65 to 69 years 70 years and over 4,09 2,448,57, ,09 2,448,57, ,930 2,394,536, ,328 2,599 2,730 9,474 2,969 6,505 5,079 2,502 2,578 8,450 2,79 5, WHITE FEMALE 6 years and over 6 to 2 years 6 to 9 years 6 and 7 years 8 and 9 years 26,9 4,34 2,55 995, ,57 4,296 2, ,548 25,09 3,893 2, ,38, ,749 4,904 3,550 2,4,435 3,593, ,580 3,320 2,85, to 64 years 20 to 24 years. 25 to 54 years.. 25 to 34 years 35 to 44 years 45 to 54 years 22,685 3,836 5,237 4,544 5,64 5, ,659 3,82 5,227 4,539 5,6 5,527 2,942 3,620 4,786 4,384 4,990 5, ,442 3,089 6,470 6,086 5,343 5,04 23,2 2,429 6,00 5,927 5,9 4, to 64 years 55 to 59 years 60 to 64 years 65 years and over 3,62 2,97, ,62 2,97, ,536 2,52, ,883 2,37 2,52 8,758 4,68: 2,30 2,38 7, NONWHITE FEMALE 6 years and over 6 to 2 years 6 to 9 years 6 and 7 years. 8 and 9 years 3, , , , , to 64 years 20 to 24 years 25 to 54 years 25 to 34 years 35 to 44 years 45 to 54 years 3, , , , , , , , ,284 34, to 64 years 55 to 59 years 60 to 64 years 65 years and over

15 HOUSEHOLD DATA A 4: Labor force by age, sex, and color Total la bor force Civilian labor force Age, sex, and coloj Thousands of persons Participation rate Thousands of persons Participa tion rate MALE 6 years and over 6 to 9 years 6 and 7 years. 8 and 9 years 20 to 24 years 25 to 54 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 52,678 3,792,52 2,280 6,765 32,904,474,028 0,403 7,049 4,40 2,909 2,68 52,239 3,888,526 2,362 6,528 32,654,9,236 0,300 7,008 4,05 2,903 2, ,98 3,367,486,880 4,980 3,639 0,697 0,632 0,30 7,045 4,36 2,909 2,68 48,805 3,226,496,730 4,994 3,420 0,382 0,840 0,99 7,002 4,00 2,902 2, WHITE MALE 6 years and over 6 to 9 years 6 and 7 years 8 and 9 years 20 to 24 years 25 to 54 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 47,380 3,347,347 2,000 5,952 29,624 0,244 9,925 9,455 6,463 3,789 2,674,994 47,02 3,424,349 2,075 5,759 29,430 9,930 0,32 9,367 6,45 3,765 2,650, ,264 2,960,323,637 4,340 28,50 9,566 9,575 9,370 6,460 3,786 2,674,994 43,885 2,83,322,49 4, ,274 9,772 9,272 6,409 3,760 2,649, NONWHITE MALE 6 years and over 6 to 9 years 6 and 7 years 8 and 9 years 20 to 24 years 25 to 54 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 5, ,280,230, , ,224,88, , A 27 4, ,29,3, , ,0,08, A

16 HOUSEHOLD DATA A 4: Labor force by age, sex, and color Continued Total labor force Civilian labor force Age, sex, and color Thousands of persons Participation rate Thousands of persons Participation rate FEMALE 6 years and over 6 to 9 years 6 and 7 years 8 and 9 years 20 to 24 years 25 to 54 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 024,857,083, ,343 2,833,054,779 4,28 7,350 5,39 6,02 6,200 3,95 2,350,566, ,987 2,848,082,765 4,405 7,658 5,366 6,030 6,262 4,09 2,448,57,057 29,308 2,823,054,769 4,205 7,339 5,33 6,008 6,98 3,95 2,349,566, WHITE FEMALE 6 years and over. 6 to 9 years 6 and 7 years 8 and 9 years 20 to 24 years 25 to 54 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 26,9 2,55 995,557 3,836 5,237 4,544 5,64 5,529 3,62 2,97, ,498 2, ,542 3,679 4,864 4,262 5,25 5,477 3,539 2,20, ,57 2, ,548 3,82 5,227 4,539 5,6 5,527 3,62 2,97, ,465 2, ,533 3,666 4,853 4,256 5,22 5,475 3,538 2,20, NONWHITE FEMALE 6 years and over 6 to 9 years 6 and 7 years 8 and 9 years 20 to 24 years 25 to 54 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 3, , , , , 62, 6, , , , ,

17 HOUSEHOLD DATA A 5: E m p l o y m e n t status of persons 62 y e a r s of a g e in the noninstitutional p o p u l a t i o n by color a n d sex November (In thousands) Total White Nonwhite Employment status Total noninstitutional population Total labor force Percent of population.. Civilian labor force.. Employed Agriculture... Nonagricultural industries Unemployed.. Percent of labor force Looking for fulltime work Looking for parttjne work.... Not in labor force Major activity: going to school Civilian labor force Employed... Agriculture. Nonagricultural industries Unemployed.. Percent of labor force Looking for fulltime work Looking for parttme work Not in labor force Major activity: other Civilian labor force Fmployed Agriculture... Nonagricultural industries Unemployed... Percent of labor force Looking for fulltime work.... Looking for parttime work Not in labor force Both sexes 2,50, ,98 8, ,594, ,98 3,952 3, , ,82 6,029 5, , ,70 Male 0,868 6, ,2 4, , ,228 2,325 2,04 52, ,945 2,796 2, , Female 0,633 4, ,859 4, , ,753,626,42 3, ,867 3,233 2, , ,886 Both sexes 8,73 0,67 5 8,769 7, , ,547 3,600 3,2 57 3, ,746 5,69 4, , ,80 Male 9,495 5, ,473 4, , ,642 2,099,884 45, ,426 2,374 2, , Female 9,28 4, ,296 3, , ,904 A 6: Employment status of the noninstitutional population 6 years and over by color, age, and sex (In thousands) Total Men, 20 years Women, 0 years Both sexes, Employment status and color and over and over 69 years TOTAL Total noninstitutional population.. Total labor force Percent of population... Civilian labor force Employed Agriculture Unemployed.. Percent of labor force.. Not in labor force.. WHITE Total noninstitutional population.. Total labor force Percent of population.. Civilian labor force Employed Agriculture Nonagricultural industries Unemployed Percent of labor force. Not in labor force. 36,420 82, ,85 76,609 3,607 73,00 2,577 53,78 2,864 73, ,42 68,40 3,274 65,27 2,020 48,293 34,224 8, ,3 75,28 3, ^894 52,64 9,998 72, ,350 67,078 3,320 63,578 2,272 47,487 58,489 48, ,832 44,987 2,77 42, ,603 52,625 44, ,304 40,66 2,460 38, ,592 57,607 48, ,579 44,6 2, *968 9,255 5,863 43, ,072 40,277 2,523 37, ,275 63,607 27, ,39 26, , ,440 56,839 23, ,64 22, , ,200,50,327 2, ,320 2,794 2, , ,585 Both sexes 2,788,353 48, , , ,520 26, ,485 25, ,777,076 36,00 55,907 23, ,990 22,6 53 2, ,893 Male, ,324 6, ,24 5, , ,675 2,400 5, ,503 4, , ,50 Female, ,097 6, ,049 5, , ,376 2,228 5, ,288 4, , ,39 NONWHITE Total noninstitutional population Total labor force Percent of population.. Civilian labor force Employed Agriculture Nonagricultural industries... Unemployed Percent of labor force. Not in labor force 4,556 9,3 6 8,764 8, , ,425 4,226 9, ,763 8, , ,54 5,864 4, ,528 4, ,5 57,0 5,744 4, ,507 4, , ,768 3, ,524 3, , ,24 6,63 3, ,494 3, , ,, ,74, , O 68 2

18 HOUSEHOLD DATA A 7: Full a n d p a r t t i m e s t a t u s of the c i v i l i a n l a b o r f o r c e b y a g e a n d s e x November (In thousands) Fulltime labor force Parttime labor force Age and sex Employed Parr ime for Unemployed (looking for fulltime work) Percent of fulltime labor force Employed on voluntary part timel Unemployed (looking for parttime work) Percent of parttime labor force TOTAL 6 years and over 6 to 2 years 6 to 9 years 6 and 7 years 8 and 9 years 20 years and over 20 to 24 years 25 years and over 25 to 54 years 55 years and ovei... 67,747 5,795 2, ,378 64,928 8,06 56,92 44,950,962 64,22 5,03 2, ,02 6,899 7,40 54,489 43,0,379, , , , , , ,438 4,85 3,395 2,28,267 8,043,369 6,674 4,347 2,327 0,63 3,653 2,927,820,07 7,686,257 6,430 4,96 2, MALE 6 years and over 6 to 2 years 6 to 9 years 20 years and over 20 to 24 years 25 years and over 25 to 54 years 55 years and over 45,82 2,795,438 43,744 4,347 39,397 3,47 8,250 43,476 2,446,98 42,278 4,090 38,88 30,300 7, ,07 2,327,929 2, , ,662 2,044,678, , FEMALE 6 years and over 6 to 2 years 6 to 9 years 20 years and over 20 to 24 years 25 years and over 25 to 54 years 55 years and over 22,565 3,000,38 2,84 3,668 7,56 3,803 3,72 20,736 2,567,5 9,62 3,32 6,300 2,8 3, ,42,859,466 5, ,29 3,855,364 6,95,60,249 5, ,033 3,79, 'Employed persons with a job but not at work are distributed proportionately among the full and parttime employed categories.

19 HOUSEHOLD DATA A 8: Unemployed persons by age and sex Thousands of persons Unemployment rates Thousands of persons Unemployment rates Total, 6 years and over,229,48,347,477 6 to 9 years 6 and 7 years 8 and 9 years 20 years and over 20 to 24 years 25 years and over 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 , Household head, 6 years and 6 to 24 years 25 to 54 years 55 years and over A 9: Unemployed persons by marital status, age, sex, and color Marital status, age, and color Thousands of persons Unemployment rates Thousands of persons Unemployment rates Total, 6 years and over,229,48,347,477 Married, spouse present Widowed, divorced, or separated Single (never married) Total, 20 to 64 years of age ,049 Married, spouse present Widowed, divorced, or separated Single (never married) White, 6 years and over 972,42,048,30 Married, spouse present Widowed, divorced, or separated Single (never married) White, 20 to 64 years of age Married, spouse present Widowed, divorced, or separated Single (never married) Nonwhite, 6 years and over Married, spouse present Widowed, divorced, or separated Single (never married) Nonwhite, 20 to 64 years of age Married, spouse present Widowed, divorced, or separated Single (never married)

20 HOUSEHOLD DATA A0: Unemployed persons by occupation of last job and sex Occupation Thousands of persons Total Unemployment rates Male Tota 2,577 2,894 Whitecollar workers Professional and technical.managers, officials, and proprietors Clerical workers Sales workers Bluecollar workers., Carpenters and other construction craftsmen All other Operatives Drivers and deliverymen All other Nonfarm laborers Construction "laborers All other, , d) Private household... All other Farmers and farm laborers. No previous work experience. 6 to 9 years 20 to 24 years 25 years and over Percent not shown where base is less than 00, A: Unemployed persons by industry of last job and sex Industry Percent distribution Unemployment rates Total Private wage and salary workers Mining Construction Manufacturing Durable goods Primary metal industries Fabricated metal products Machinery Electrical equipment Motor vehicles and equipment All other transportation equipment Other durable goods industries Nondurable goods... Food and kindred products Textile mill products Apparel and other finished textile products Other nondurable goods industries Transportation and public utilities Railroads and railway express Other transportation Communication and other public utilities Wholesale and retail trade Finance, insurance, and real estate Service industries Professional services All other service industries Agricultural wage and salary workers A other classes of workers No previous work experience i Percent not shown where base is less than 00,000.

21 HOUSEHOLD DATA A2: Unemployed persons by reason for unemployment, sex, age, and color Reason for unemployment Total unemployed Male, 20 years and over Female, 20 years and over JBoth sexes, 6 to 9 years Whi te Nonwhite UNEMPLOYMENT LEVEL Total unemployed, in thousands Lost last job Left last job. Reentered labor force... Never worked before 0,., 2, ,894, , , , Total unemployed, percent distribution.... Lost last job Left last job o Reentered labor force., Never worked before UNEMPLOYMENT RATE Total unemployment rate Jobloser rate A3: Unemployed persons by reason for unemployment, duration, sex, and age November (Percent distribution) Total unemployed Duration of unemployment Reason, sex, and age Thousands of persons Percent Less than 5 weeks 5 to 4 weeks 5 weeks and over 5 to 26 weeks 27 weeks and over Total, 6 years and over... Lost last job Left last job Reentered labor force Never worked before. o 2, Male, 20 years and over Lost last job. Left last job Reentered labor force Never worked before Female, 20 years and over.... Lost last job Left last job.... Reentered labor force Never worked before Both sexes, 6 to 9 years..,. Left last job Reentered labor force Never worked before 'Percent not shown where base is less than 00,000.

22 HOUSEHOLD DATA A4: Unemployed persons by duration of unemployment Total Household head Duration of unemployment Percent distribution Percent distribution Total 2,577 2, Less than 5 weeks 5 to 4 weeks...' 5 to 0 weeks to 4 weeks 5 weeks and over 5 to 26 weeks 27 weeks and over , Average (mean) duration A 5: U n e m p l o y e d p e r s o n s b y d u r a t i o n, s e x, a g e, c o l o r, a n d m a r i t a l s t a t u s November Thousands of persons Sex, age, color, and marital status Less than 5 weeks 5 to 4 weeks 5 to 26 weeks 27 weeks and over Less than 5 weeks as a percent of unemployed in group 5 weeks and over as a percent of unemployed in group Total 6 to 2 years 6 to 9 years 20 to 24 years 25 to 44 years 45 years and over 2,577, , Ma le 6 to 2 years 6 to 9 years 20 to 24 years 25 to 44 years 45 years and over, Female 6 to 2 years 6 to 9 years 20 to 24 years 25 to 44 years 45 years and over, White: Total Male Female 2, ,048, Nonwhite: Total Male Female Male: Married, wife present Widowed, divorced, or separated... Single (never married) Female: Married, husband present Widowed, divorced, or separated. Single (never married)

23 HOUSEHOLD DATA A6: U n e m p l o y e d p e r s o n s by d u r a t i o n, o c c u p a t i o n, a n d i n d u s t r y of last j o b November Occupation and industry OCCUPATION Whitecollar workers Professional and managerial Clerical workers Sales workers Bluecollar workers Craftsmen and foremen Operatives Nonfarm laborers , Less than 5 weeks Thousands of persons 5 to 4 v.eeks to 26 weeks weeks Less than 5 weeks as a percent of unemployed in group weeks and over as a percent of unemployed in group Service workers Agriculture Construction Manufacturing. Durable goods Nondurable goods INDUSTRY 2 Transportation and public utilities Wholesale and retail trade Finance and service industries Public administration (2) (2) 6 59 (2) (2) (2) 9 (2) 9 9 (2) (2) No previous work experience ^Includes wage and salary workers only. Percent not shown where base is less than 00,000. A7: Employed persons by age and sex (In thousands) All industries 6 to 9 years 6 and 7 years 8 and 9 years 20 to 24 years 25 to 54 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 Nonagricultural industries 6 to 9 years 6 and 7 years 8 and 9 years 20 to 24 years 25 to 54 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 Agriculture 6 to 9 years... 6 and'7 years 8 and 9 years 20 to 24 years 25 to 54 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 Age and type of industry ,,9 3,,248 8,,890 48,29 5,683 6,325 6,283 0,860 6,464 4,396 3,30 73,00 5,72 2,053 3,9 8,665 46, , , ,28 5,98 2,29 3,069 8,79 47,538 5,048 6,457 6,033 0,670 6,309 4,36 3,093 7,460 4,885,928 2,957 8,524 45,533 4,54 5,83 5,88 9,903 5,90 3,994 2,65 3, , ,969 2,982,274,707 4,759 3,86 0,536 0,496 0,54 6,930 4,069 2,860 2,2 45,007 2,736,47,589 4,579 29,694 0,37 0,002 9,555 6,39 3,760 2,559,679 2, , ,388 2,777,256,52 4,757 30,99 0,99 0,688 0,03 6,84 4,08 2,823 2,094 44,302 2,505,076,429 4,587 29,355 9,783 0,20 9,363 6,205 3,692 2,53,650 3, , ,639 2,457 96,540 4,30 7,05 5,47 5,829 6,29 3,930 2,394,536,07 27,994 2, ,530 4,086 6,686 5,030 5,690 5,966 3,808 2,38, ,83 2, ,548 3,962 6,69 4,849 5,768 6,002 3,829 2,29, ,57 2, ,528 3,937 6,JL77 4,73 5,62 5,825 3,699 2,28,

24 HOUSEHOLD DATA A8: Employed persons by occupation group, age, and sex (In thousands) Occupation Male, 20 years and over Female, 20 years and over Male, 69 years Female, 69 years NOV. NOV. Total 76,609 75,28 44,987 44,6 26,83 25,409 2,982 2,777 2,457 2,422 Whitecollar workers 36,244 35,204 8,696 8,56 5,579 5, ,375,353 Professional and technical Medical and other health Teachers, except college Other professional and technical 0,793,697 2,45 6,645 0,295,656 2,393 6,246 6, ,28 6, ,90 4,002,04,693,295 3,906,022,660, Managers, officials, and proprietors Salaried workers Selfemployed workers in retail trade.... Selfemployed workers, except retail trade 7,83 5,506,2,95 7,589 5,364,048,77 6,530 4, ,032 6,383 4,60 770,03, , Clerical workers Stenographers, typists, and secretaries... Other clerical workers 2,879 3,33 9,548 2,78 3,37 9,40 3, ,03 3, ,094 8,567 3,00 5,556 8,277 2,952 5, , Sales workers Retail trade. Other sales workers. 4,758 2,897,862 4,603 2,853,750 2, ,585 2, ,540,753,535 28,758, Bluecollar workers 27,626 27,82 2,033 2,024 4,625 4,38,697, Craftsmen and foremen Carpenters Construction craftsmen, except carpenters Mechanics and repairmen Metal craftsmen, except mechanics... Other craftsmen and kindred workers... Foremen, not elsewhere classified 0,20 93,884 2,659,269,968,509 9, ,935 2,576,284,80,430 9,629 89,836 2,536,230,738,398 9, ,900 2,460,252,628, Operatives Drivers and deliverymen Other operatives Durable goods manufacturing Nondurable goods manufacturing Other industries 3,980 2,563,47 4,68 3,888 2,848 3,94 2,57,343 4,739 3,729 2,875 8,795 2,347 6,448 3,096,602,750 8,94 2,354 6,559 3,29,590,750 4, ,082,334 2,049 4, ,939,289, 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 3, ,037,679 9,502,764 7, ,054 3, ,26,486 9,377,778 7, ,02 2, ,39 2, , ,488 2, ,094 2, , , ,434,396 4,039 44,298 2, ,343,44 3,902 33,340 2, Farm workers 4,775 4,594 2,455 2, Farmers and farm managers 3,236 3,455,770, Farm laborers and foremen Paid workers Unpaid family workers,854, ,922,533,

25 HOUSEHOLD DATA A9: Employed persons by major occupation group, color, and sex (Percent distribution) Occupation group and color TOTAL Total employed (thousands) Percent 76,609 75,28 47,969 47,388 28,639 27,83 Whitecollar workers Professional and technical Managers, officials, and proprietors Clerical workers Sales workers Bluecollar 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 WHITE Total employed (thousands) Percent 68,40 67,078 43,292 42,743 25,09 24,336 Whitecollar workers Professional and technical Managers, officials, and proprietors... Clerical workers Sales workers Bluecollar 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 NONWHITE Total employed (thousands) Percent 8,207 8,40 4,677 4,645 3,530 3,495 Whitecollar workers Professional and technical Managers, officials, and proprietors Clerical workers Sales workers Bluecollar 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..

26 HOUSEHOLD DATA A20: Employed persons by class of worker, age, and sex November (In thousands) Nonagnculturzil industries Agriculture Total Wage and salary workers Private household workers Government Other Self employed Unpaid family workers Wage and salary workers Self employed Unpaid family workers Total 6 to 9 years 6 and 7 yeats...8 and 9 years 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.. 67,280 5,09 2,007 3,085 8,58 4,40 4,340 4,002 8,889 5,372 3,58 2,039, , ,392 2,453 2,700 2,736,796, ,499 4,242,556 2,686 7,06,77,384 0,93 6,685 4,082 2,603,488 5, ,245,380, , , Male 6 to 9 years 6 and 7 years 8 and 9 years 20 to 24 years 25 to 34 years to 44 years to 54 years to 64 years to 59 years. 60 to 64 years. 65 years and over. 4,026 2,688,7,57 4,503 9,64 9,023 8,488 5,442 3,269 2,73, , ,420,552,530, ,396 2, ,443 3,938 8,79 7,460 6,936 4,406 2,637,769,035 3, , , Female 6 to 9 years... 6 and 7 years 8 and 9 years 20 to 24 years to 34 years to 44 years to 54 years to 64 years 55 to 59 years. 60 to 64 years. 65 years and over. 26,254 2, ,54 4,05 4,787 5,37 5,54 3,448 2,03,345 77, , ,033,48, ,03, ,243 3,078 3,592 3,924 3,977 2,279, ,

27 HOUSEHOLD DATA A2: E m p l o y e d persons with a job but not at work by r e a s o n, pay status, and sex (In thousands) All indus Nonagricultural industries Reason not working Wage and salary workers Unpaid absence Totol Vacation Illness Bad weather Industrial dispute. All other reasons.. 2, , , , , , , , , , , , Mole Vacation Illness All other reasons.., , , , Female Vacation Illness All other reasons.., , Excludes private household. Pay status not available separately for Bad weather and Industrial dispute; these categories are included in All other reasons. A22: Persons at work by type of industry a n d hours of work November Thousands of persons Percent distribution Hours of work All industries Nonagricultural industries All industries Agriculture Nonagricultural industries Agriculture Total at work 73,878 70,47 3,46 34 hours.. 54 hours 529 hours hours , ,664 8,2 8,429 9, ,40' 7,537 8,202, hours. 40 hours. 49 to 59 hours... 52,938 4,607 26,005 22,326 9,264 7,02 5,960 50,573 4,423 25,678 20,472 8,908 6,652 4,92 2, , ,

28 HOUSEHOLD DATA A 2 3 : P e r s o n s a t w o r k 3 4 h o u r s b y u s u a l s t a t u s a n d r e a s o n w o r k i n g p a r t t i m e November (In thousands) All industries Nonagricultural Industrie Reasons working part time Usually work full time Usually work Usually work full time Usually work Total ,94 9,974 0,967 9,844 9,573 0,27 Economic reasons Slack work Material shortages or repairs to plant and equipment New job started during week Job terminated during week Could find only parttime work, , Other reasons Does not want, or unavailable for, fulltime work... Vacation Illness Bad weather Industrial dispute Legal or religious holiday. Full time for this job All other reasons 9,57 8,90 354, ,436,94,393 9, , , ,29 8,90 258, ,278 7, , ,425,52,277 8, , , ,58 7,769 87, Average hours: Economic reasons Other reasons Worked 30 to 34 hours: Economic reasons Other reasons 472 7, ,483 36, , ,390 8,398 A24: N o n a g r i c u l t u r a l w o r k e r s by full or p a r t t i m e status November Industry Total at work On part time for economic On voluntary part time Percer t distribution Total On fulltime schedules 40 hours or less 4 to 48 hours 49 hours Average total at work Average hours, workers on fulltime schedules U'age and salary workers Construction Manufacturing Durable goods Nondurable goods Transportation and public utilities Wholesale and retail trade.... Finance, insurance, and real estate Service industries... Private households... All other service. Public administration , Selfemployed workers Unpaid family workers Mining not shown separately but included in totals.

29 HOUSEHOLD DATA A25: Persons at work in nonagricultural industries by full or parttime status, age, sex, color, and marital status November On fulltime schedules Age, sex, color and marital status Total at work On part time for economic reasons On voluntary part time Total 40 hours or less 4 hours or more Average hours, total at work Average hours, workers on fulltime schedules (In thousands) TOTAL Total, 6 years and over. 6 to 2 years 6 to 9 years 6 and 7 years 8 and 9 years years and ovec 20 to 24 years 25 years and over 25 to 44 years 45 to 64 years 65 years and over 70,47 8,372 5,060 2,00 3,059 65,357 8,435 56,922 29,906 24,508 2,507, ,38 207, ,58 3,423 2,734,678,055 6,784,8 5,603 2,559 2, ,332 4,672 2,40 258,883 57,92 7,047 50,43 26,786 2,88,539 38,860 3,598,637 93,444 37,223 5,075 32,45 6,809 4,333,003 20,472, ,969,972 7,998 9,977 7, Males, 6 years and over 6 to 2 years 6 to 9 years. 6 and 47 years 8 and 9 years 20 years and over 20 to 24 years 25 years and over 25 to 44 years, 45 to 64 years 65 years and over,45,205,673,09,565,778,488,29,539,73, ,27,868, ,60 559, ,660 2,2, ,599 3,857 34,742 9,038 4,635,068 23,073, ,34 2,37 9,97 0,57 8, , ,258,486 4,77 8,52 5, Females, 6 years and over 6 to 2 years... 6 to 9 years 6 and 7 years 8 and 9 years 20 years and over 20 to 24 years 25 years and over 25 to 44 years 45 to 64 years 65 years and over 26,966 4,67 2, ,495 24,579 3,948 20,632 0,367 9, ,390,555, , ,552 2,279, ,673 2,462, ,592 3,9 5,403 7,749 7, ,788 2, ,880 2,705 2,78 6,292 5, , , ,225,457, COLOR Total White Male Female 62,858 39,250 23,609, ,62 2,846 5,766 53,07 35,877 7,94 34,35 20,406 3,730 8,936 5,47 3, Total Nonwhite Male.. Female 7,559 4,202 3, ,262 3,783 2,478 4,725 2,668 2,056,537, MARITAL STATUS Male: Married, wife present Widowed, divorced, or separated Single (never married) 34,459 2,9 6, ,053 33,3,976 4,57 8,653,277 3,42 4, , Female: Married, husband present. Widowed, divorced, or separated Single (never married) 5,84 5,5 5, , ,627,427 4,057 4,88 9,88 3,2 3,477 2,

30 ii HOUSEHOLD DATA A25: Persons at work in nonagricultural industries by full or parttime status, age, sex, color, and marital status Continued November On fulltime schedules Age, sex, color and marital status On part time for economic reasons On voluntary part time 40 hours or less 4 hours or more (Percent distribution) TOTAL Total, 6 years and over. 6 to 2 years, 6 to 9 years 6 and 7 years 8 and 9 years 20 years and over. 20 to 24 years 25 years and over 25 to 44 years 45 to 64 years 65 years and over Males, 6 years and over 6 to 2 years 6 and 9 years 6 and 7 years, 8 and 9 years 20 years and over 20 to 24 years 25 years and over 25 to 44 years 45 to 64 years 65 years and over Females, 6 years and over 6 to 2 years 6 to 9 years 6 and 7 years 8 and 9 years 20 years and over 20 to 24 years 25 years and over 25 to 44 years 45 to 64 years 65 years and over ,6 74.,8 77.,0 50., COLOR Total White Male Female ,4 9.,4 72,, Total Nonwhite Male Female MARITAL STATUS Male: Married, wife present Widowed, divorced, or separated Single (never married) Female: Married, husband present Widowed, divorced, or separated Single (never married)

31 HOUSEHOLD DATA A 2 6 : P e r s o n s a t w o r k i n n o n f a r m o c c u p a t i o n s b y f u l l o r p a r t t i m e s t a t u s a n d s e x November Occupation group and sex Total at work On part time for economic reasons On voluntary part time Total On fulltime 40 hours or less schedules 4 to 48 hours 49 hours or more Average hours, work Average hours, workers schedules (Thou siands of persons) TOTAL 35,94 0,506 7,596 2,50 4, ,830, ,43,85 30,08 9,23 7,273 0,209 3,32 9,375 5,873 2,988 8,587,924 3,809,75,26, ,834 2,65 3, , ,44 9,768 3,369 3, , ,843 9,289,992 2,563 5,783 5,95 7,935,934 4,246,694 2, ,84,680, ,3,708 7, ,936 94,995 5, ,54 3, , , MALE 8,788 6,532 6,376 3,257 2, , ,469 6,0 6,22 2,868 2,278 9,24 3,63 2,409 2,02,089 2, ,74,698 2, ,770 9,426 9,54 3,9 508\ 6 92, 53, ,906 9,006 8,434 2,469 2,533 5,694 4,980,862 3,67,646, ,702,666, , , ,56 7 2,500,505 4, FEMALE Clerical workers 6,407 3,974,220 9,244, , , ,548 3,0,062 7,342,042 0,249 2, , , , , , , , ,25 '222 2, ,974,665 4, ,344 96,428 3, ,655 2, ,

32 HOUSEHOLD DATA A26: Persons at work in nonfarm occupations by full or parttime status and sexcontinued November Occupation group and sex On part time for economic reasons On voluntary part time Total On fulltime schedules 40 hours or less 4 to 48 hours 49 hours or /nore (Percent distribution) TOTAL Whitecollar workers Professional and technical Managers, officials, and proprietors Clerical workers Sales workers _ Bluecollar workers Craftsmen and foremen Operatives Nonfarm laborers Service workers Private household Other service workers MALE Whitecollar workers Professional and technical Managers, officials, and proprietors Clerical workers Sales workers Bluecollar workers Craftsmen and foremen Operatives Nonfarm laborers Service workers Private household Other service workers FEMALE Whitecollar workers Professional and technical Managers, officials, and proprietors.... Clerical workers.. Sales workers Bluecollar workers Craftsmen and foremen Operatives. Nonfarm laborers Service workers Private household Other service workers

33 HOUSEHOLD DATA A 2 7 : E m p l o y m e n t s t a t u s o f 4 5 y e a r o l d s b y s e x a n d c o l o r November (In thousands) Total White Nonwhite Employment status Both sexes Male Female Both sexes Male Female Both sexes Male Female Civilian noninstitutional population... 7,734 3,96 3,88 6,663 3,385 3,278, ,48, , , , , , , , , , ,85 5 2, , , A 2 8 : E m p l o y e d 4 5 y e a r o l d s b y s e x, m a j o r o c c u p a t i o n g r o u p, a n d c l a s s o f w o r k e r November Thousands of persons Percent distribution Characteristics Both sexes Both sexes Total CLASS OF WORKER, Nonagricultural industries Wage and salary workers Private household workers Government workers Other wage and salary workers Selfemployed workers Unpaid family workers Agriculture Wage and salary workers Selfemployed workers Unpaid family workers Total OCCUPATION, Whitecollar workers Professional and technical Managers, officials, and proprietors.. Clerical workers Sales workers Bluecollar 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 O 68 3

34 HOUSEHOLD DATA SEASONALLY ADJUSTED A 2 9 : E m p l o y m e n t s t a t u s o f t h e n o n i n s t i t u t i o n a I p o p u l a t i o n b y a g e a n d s e x, s e a s o n a l l y a d j u s t e d (In thousands) Employment status, age, and se: Aug. July June May Apr. Mar. Feb. Jan. Dec. Tctal Total labor force Civilian labor force Employed Agriculture Nonagriculrural industries On part time for economic reasons Usually work full time Usually work part time Unemployed 82,549 79,032 76,389 3,676 72,73, ,643 82,407 78,804 75,952 3,48 72,47, ,852 82,422 78,83 75,957 3,602 72,355, ,874 82,279 82,572 78,690 78,985 75,929 76,038 3,733 3,836 72,96 72,202,853,809, ,76 2,947 82,585 79,08 76,048 3,85 72,97,9, ,970 82,49 78,63 75,829 3,893 7,936, ,784 8,849 78,343 75,636 3,980 7,656, ,707 82,50 82,38 78,658 78,672 75,802 75,73 4,04 4,27 7,788 7,604,743, ,856 2,94 8,386 77,923 75,67 4,003 7,64, ,756 8,942 78,473 75,577 4,26 7,36, ,896 8,459 77,989 75,005 3,839 7,66,950, ,984 Men, 20 years and over Total labor force Civilian labor force Employed Agriculture Nonagricultural industries Unemployed 48,87 45,86 44,88 2^736 42, ,94 45,785 44,753 2,636 42,7,032 48,963 45,845 44,835 2,688 42,47,00 49,03 48,998 45,896 45,93 44,907 44,92 2,770 2,856 42,37 42, ,00 48,926 45,923 44,858 2,845 42,03,065 48,689 45,73 44,742 2,855 4, ,68 45,76 44,758 2,877 4, ,632 48,678 45,792 45,909 44,783 44,842 2,892 2,955 4,89 4,887,009,067 48,538 45,770 44,740 2,93 4,809,030 48,555 45,783 44,775 2,95 4,824,008 48,350 45,578 44,506 2,834 4,672,072 Women, 20 years and over Civilian labor force Employed Agriculture Nonagricultural industries Unemployed 26,74 25, , ,496 25, , ,446 25, ,875,043 26,62 26,393 25,85 25, ,609 24, ,029 26,297 25, , ,99 25, , ,98 24, , ,094 26,070 25,28 25, ,447 24, ,034 25,80 26,348 24,802 25, ,9 24,448,008,075 26,068 25, ,4,032 Both sexes, 69 years Civilian labor force Employed Agriculture Nonagricultural industries Unemployed 6,502 5, , ,523 5, , ,540 5, , ,632 5, , ,66 5, , ,798 5, , ,70 5, , ,709 5, , ,772 5, , ,693 5, , ,343 5, , ,342 5, , ,343 5, , NOTE: Because of the independent seasonal adjustment of the various series, detail for the household data shown in tables A29 through A35 will not necessarily add to totals.

35 A 3 0 : E m p l o y m e n t s t a t u s b y c o l o r, s e x, a n d a g e, s e a s o n a l l y a d j u s t e d (In thousands) HOUSEHOLD DATA SEASONALLY ADJUSTED Characteristics Aug. July June May Apr. Mar. Feb. Jan Dec. Nov, WHITE Total: Civilian labor force Employed Unemployed Unemployment rat *. Males, 20 years and over: Civilian labor force Employed Unemployed Unemployment rate Females, 20 years and over: Civilian labor force Employed Unemployed Unemployment rate 70,457 68,369 2,088 4,345 40, ,33 22, ,000 67,789 2,2 4,26 40, ,979 22, ,23 67,848 2,275 4,322 40, ,976 22, ,87 67,630 2,24 4,385 40, ,69 2, ,995 67,655 2,340 4,369 40, ,83 22, ,76 2,344 40, ,785 22, ,609 67,45 2,94 4,042 40, ,672 2, ,560 67,437 2,23 4,37 40, ,53 2, ,892 67,654 2,238 4,268 40, ,652 2, ,959 67,655 2,304 4,49 40, ,66 2, ,355 67,54 2,20 4,260 40, ,467 2, ,686 67,39 2,295 4,295 40, ,82 2, ,387 67,033 2,354 4,26 40, ,694 2, Both sexes, 6 to 9 years: Civilian labor force Employed Unemployed Unemployment rate NONWHITE 5,799 5, ,760 5, ,825 5, ,795 5, ,795 5, ,970 5, ,895 5, ,892 5, ,97 5, ,924 5, ,628 5, ,579 4, ,567 4, Total: Civilian labor force Employed Unemployed Unemployment rate,674, ,60 7, ,509 7, ,728 8, ,859 8, ,802, ,837 8, ,85, ,99 8, , ,639 8, ,892 8, ,677 8, Males, 20 years and over: Civilian labor force Employed Unemployed Unemployment rate Females, 20 years and over: Civilian labor force Employed Unemployed Unemployment rate 4,500 4, ,443 3, ,458 4, ,47 3, ,485 4, ,346 3, ,523 4, ,397 3, ,532 4, ,479 3, ,554 4, ,460 3, ,567 4, ,484 3, ,569 4, ,427 3, ,59 4, ,478 3, ,565 4, ,486 3, ,504 4, ,386 3, ,547 4, ,527 3, ,48 4, ,45 3, Both sexes, 6 to 9 years: Civilian labor force Employed Unemployed Unemployment rate

36 HOUSEHOLD DATA SEASONALLY ADJUSTED A3: M a j o r u n e m p l o y m e n t i n d i c a t o r s, s e a s o n a l l y a d j u s t e d (Unemployment rates) Selected categories ; Aug. July June May Apr. Mar. Feb. Total (all civilian workers)... Men, 20 years and over Women, 20 years and over 3 ' 4 Both sexes, 69 years j i White workers... Nonwhite workers. Married men Fulltime workers Unemployed 5 weeks and over State insured^ Labor force time lost? I OCCUPATION Whitecollar workers Professional and technical Managers, officials, and proprietors. Clerical workers Sales workers.. Bluecollar workers Craftsmen and foremen Operatives Nonfarm laborers ! j! 7 4,0 7, INDUSTRY Private wage and salary workers^.. Construction Manufacturing. Durable goods Nondurable goods Transportation and public utilities... Wholesale and retail trade Finance and service industries Government wage and salary workers.. Agricultural wage and salary workers. 6 3, j ^Insured unemployment under State programs as a percent of average covered employment. ^Manhours lost by the unemployed and persons on part time for economic reasons as a percent of potentially available labor force mar.hours. 3lncludes mining, not shown separately.

37 HOUSEHOLD DATA SEASONALLY ADJUSTED A32: U n e m p l o y e d persons by d u r a t i o n of u n e m p l o y m e n t, s e a s o n a l l y a d j u s t e d (In thousands) Duration of unemployment Aug. July June May Apr. Mar. Feb. Jan. Dec. 5 weeks and over 5 to 26 weeks, , , , , , , , , ,72 ue , , , A33: Rates of unemployment by age and sex, seasonally adjusted Age and sex Aug. July May Apr. Mar. Feb. Jan. Dec. Total, 6 years and over... 6 to 9 years 6 and 7 years 8 and 9 years 20 td 24 years 25 years and over 25 to 54 years 55 years and over Mai es, 6 years and over 6 to 9 years 6 and 7 years 8 and 9 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over " Females, 6 years and over.. 6 to 9 years 6 and 7 years 8 and 9 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over

38 HOUSEHOLD DATA SEASONALLY ADJUSTED A34: Employed persons by age and sex, seasonally adjusted (In thousands) Age and sex Aug. July May Apr. Mar. Feb. Dec. 6 years and over 6 to 9 years 6 and 7 years 8 and 9 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over TOTAL 76,389 75,952 5,7 5,697 2,359 2,355 3,359 3,32 8,896 8,807 6,800 6,433 47,807 47,472 3,955 3,854 75,957 75,929 76,038 76,048 75,829 75,636 75,802 75,73 75,67 75,577 5,79 2,342 3,348 8,822 6,465 47,489 3,828 5,837 2,403 3,40 8,79 6,285 47,48 3, ,875 2,475 3,37 8,700 6,443 47,58 3,908 5,855 2,44 3,406 8,646 6,339 47,528 3,765 5,909 2,440 3,456 8,649 6,088 47,396 3,667 5,89 2,469 3,479 8,653 6,250 47,65 3,78 5,853 2,467 3,389 8,676 6,203 47,538 3,75 5,625 2,39 3,328 8,682 60,847 47,365 3,604 5,529 2,346 3,222 8,720 6,337 47,544 3,802 75,005 5,463 2,296 3,67 8,726 60,835 47,068 3,73 MALE 6 years and over 6 to 9 years 6 and 7 years 8 and 9 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over 48,45 48,002 3,264 3,249,44,430,834,83 4,88 4,780 40,093 39,966 3,072 30,942 9,09 8,980 48,079 48,26 48,60 48, 48,07 48,083 48,059 48,056 47,790 47,885 3,244,43,807 4,85 40,08 3,002 8,998 3,309,459,833 4,809 40,23 3,044 9,064 3,239,433,790 4,850 40,077 3,042 9,02 3,253,454,786 4,787 40,078 30,998 9,044 3,275,447,798 4,730 39,960 30,995 8,967 3,325,468,844 4,776 40,07 3,038 8,92 3,276,499,824 4,79 40,004 3,23 8,92 3,24,50,735 4,844 40,000 3,084 8,93 3,050,44,66 4,843 39,89 3,03,90 3,0,457,68 4,826 39,945 3,05 8,944 47,553 3,047,42,634 4,85 39,723 30,806 8,93 FEMALE 6 years and over 6 to 9 years 6 and 7 years 8 and 9 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over 28,244 27,950 2,447 2, ,525,508 4,078 4,027 2,707 2,467 6,735 6,530 4,936 4,874 27,878 27,73 27,878 27,937 27,82 27,553 27,743 27,675 27,377 27,692 2,475 9,54 4,007 2,447 6,487 4,830 2, ,577 3,982 2,62 6,374 4,775 2,54 969,532 4,04 2,284 6,44 4,793 2,622,02,585 3,93 2,365 6,520 4,864 2, ,608 3,96 2,379 6,533 4,798 2, ,62 3,873 2,07 6,358 4,746 2,65 970,655 3,862 2,246 6,492 4,797 2, ,654 3,832 2,203 6,454 4,784 2, ,667 3,839 20,956 6,334 4,703,49 889,54,894,392,529,858 27,452 2,46 875,533 3,9 2,2 6,262 4,88 A35: Employed persons by major occupation group, seasonally adjusted (In thousands) Occupation group Aug. July May Apr. Mar. Feb. Dec. Whitecollar workers Professional and technical... Managers, officials, and proprieto Clerical workers... Sales workers Bluecollar workers Craftsmen and foremen Operatives Nonfarm laborers Service workers Farmers and farm laborers 36,00 35,937 0,56 0,360 7,884,003 2,944 2,925 4,7 4,649 27, 5527,455 0,20 9,979 3,883 4,002 3,548 3,474 9,482 3,334 9,389 3,4 35,99 0,40 7,978 2,865 4,675 27,48 9,907 3,969 3,605 9,39 3,283 35,675 0,346 7,97 2,667 4,745 27,559 9,908 4,0 3,640 9,48 3,372 35,745 0,464 7,75 2,85 4,679 27,467 9,977 3,835 3,655 9,30 3,485 35,525 0,339 7,607 2,887 4,692 27,673 9,953 4,065 3,655 9,498 3,496 35,533 0,396 7,655 2,844 4,638 27,357 9,927 3,867 3,563 9,4 3,520 35,257 0,284 7,667 2,694 4,62 27,350 0,040 3,865 3,445 9,77 3,647 35,234 0,236 7,79 2,654 4,625 27,48 0,000 3,967 3,45 9,406 3,690 35,35 0,2 7,697 2,708 4,609 27,485 0,07 3,983 3,43 9,396 3,80 34,777 9,99 7,656 2,643 4,487 27,265 9,967 3,852 3,446 9,292 3,645 34,739 9,985 7,540 2,660 4,554 27,600 9,945 4,063 3,592 9,438 3,880 35,070 0,073 7,658 2,782 4,557 27,06 9,830 3,87 3,459 9,357 3,558

39 ESTABLISHMENT DATA HISTORICAL EMPLOYMENT B: Employees on nonagricultural payrolls, by industry division 99 to date (In (hott Yea* aad aoa«h TOTAL Mining Coaaact Manufacturiflg Tfaaapor* tatioa and public utilities Vholeaale aad mail tgade Wholesale Finance, iaaufance, aad real Services Total local k * k I9U0 <* 9k2 9k3 9kk 9*5 9k6 9k7 > 9k8 9^ ** I k ; November. December. : January.. February. March... April... May... June July August.. September October.. November. 27,088 27,350 2*,382 25,827 28,39k 28,0*0 28,778 29,89 29,976 30,000 3,339 29,*2* 26,6*9 23,628 23,7 25,953 27,053 29,082 3,026 29,209 30,68 32,376 36,55k *O,25 *2,*52, 3 ko,39k 4,67k k3,88l kk,89 k3,778 k5,222 k7,8k9 k8,825 50,232 k9,022 50,675 52,kO8 52,89k 5,363 53,33 5k, 23k 5k,Ok2 55,596 56,702 58,332 60,832 6M3k 66,030 67,397 67,903 66,07 66,393 66,73 67,k22 67,72k 68,72k 68,327 68,508 68,923 69,23k 69,k2,33 929,22,0,089,85 i,nk,050,087, L 7kk k6, k k k I k ko,02 8k8,02,85,229,32 I,kk6,608,606 I,k97,372,2k I,lk5,2,055,50,29k,790 2,70,567,09k,32,66,982 2,69 2,65 2,333 2,603 2,63k 2,623 2,62 2,802 2,999 2,923 2,778 2,960 2,885 2,86 2,902 2,963 3,050 3,86 3,275 3,203 3,307 3,3** 2,77 2,893 2,967 3,57 3,255 3,387 3,498 3,553 3,55 3,493 3,355 0,659 0,658 8,257 9,20 0,300 9,67 9,939 0,56 0,00 9,9k7 0,702 9,562 8,70 6,93L 7,397 8,50 9,069 9,827 0,79k 9,kkO 0,278 0,985 3,92 5,280 7,602 7,328 5,52k Ik, 703 5,5k5 5,582 l*,k*l 5,2kl 6,393 6,632 I7,5k9 6,3k 6,882 7,2k3 7,7k 5,9k5 6,675 6,796 6,326 6,853 6,995 7,27k 8,062 9,2k I9,k3k 9,660 9,609 9,398 9,425 9,447 9,507 9,569 9,897 9,729 9,88^ 20,023 9,989 9,962 3,7 3,998 3,*59 3,505 3,882 3,807 3,826 Is 3,96 3,685 3,25k 2,86 2,672 2,750 2,786 2,973 3,3k 2,863 2,936 3,038 3,27** 3,k60 3,829 3,906 k,06l k,l66 k,l89 k,00 k,03k k,226 k,2k8 k,290 k,08k k,lkl k,2kk k,2kl 3,976 k,0 k,ook 3,903 3,906 3,903 3,95 4,036 k,5 k,27 4,38 4,3H 4,252 4,264 4,276 4,296 k,268 4,375 4,394 k,kio 4,47 4;386 k,ko5 k,5k k,k67 k,589 k,9o3 5,290 % 5,908 5,87* 6,23 5,797 5,28k k,68 3 k,755 5,28 5,*3 5,809 6,265 6,79 6,k26 6,750 7,20 7,H8 6,982 7,058 7,3k 8,376 8,955 9,272 9,26k 9,386 9,7k2 0,00k 0,2VT 0,235 0,535 0,858 0,886 0,750,27 H,39,337,566 H,778 2,60 2,76 I3,2k5 3,63 4,07 4,68 3,602 3,585 3,658 3,90 3,959 4,39 Ik,2 lk,lkl Ik,208 lkj336 Ik,548,68k,75k,873,82,7*,762,862 2,90 2,36 2,k89 2,k87 2,58 2,606 2,687 2,727 2,739 2,796 2,88k 2,893 2,8kd 2,9k6 3,00k 2,993 3,056 3,0k 3,89 3,32 3,k37 3,538 3,66 3,620 3,564 3,572 3,58 3,594 3,607 3,690 3,77 3,727 3,73 3,737 3,75,7f k,996 5,338 5,297 5,2* 5,296 5,k52 6,86 6,595 6,783 6,778 6,868 7,36 7,37 7,520 7,k96 7,7kO 7,97k 7,992 7,902 8,82 8,388 8,3kk 8,5H 8,675 8,97 9,40k 9,808 0,07k 0,40 0,998 0,038 0,03 0,077 0,36 0,352 io,kk9 0,395 0,klk 0,k95 0,599 0,797,,75,63,k*,90,23,233,305,367 I,k35,509 I,k75 l?k07,3*,295,339,335,388 I,k32 I,k25,502 I,5k9,538,502 I,k76 I,k97,697,75k,829,857,99,99 2,069 2,*6 2,23k 2,335 2,k29 2,k?7 2,59 2,59k 2,669 2,73 2,800 2,877 2,957 3,023 3,00 3,27 3,260 3,269 3,252 3,27 3,288 3,30 3,327 3,365 3,407 3,430 3,397 3,kO2 3,40k 2,263 2,362 2,k22 2,503 2,68k 2,782 2,869 3,0*6 3,68 3,265 3,k*0 3,376 3,83 2,933. 2,873 3,058 3,lk2 3,326 3,58 3,k73 3,57 3,68 3,92 k,08k k,lk8 k,l63 k,2kl k,79 5,050 5,206 5,26k 5,382 5,576 H? 5,867 6,002 6,27k 6,536 6,7k9 6,806 7A30 7,423 7,66k 8,028 8,325 8,709 9,087 9,55 0,060 0,29 0,223 0,24 0,228 0,290 0,k02 0,k88 0,63k 0,687 0,675 0,587 0,622 0,637 2,676 2,603 2,528 2,538 2,607 2,720 2,800 2,8*6 2,95 2,995 3,065 3,*8 3,26k 3,225 3,66 3,299 3,k& 3,668 3,756 3,883 3,995 k,202 k,660 5,k8 3 6,080 6,Ok3 5,9kk 5,595 5,*7* 5,650 5,856 6,026 6,389 6,609 6,6k5 6,75 6,9k 7,277 7,66 7,839 8,083 8,59k 8,890 9,225 9,596 0,09 0,87,66 2,0 2,37 2,028 2,36 2,93 2,2k 2,227 2,280 Il,8k8,762 2,30 2>kl2 2,k l,3ko 2,23 2,905 2,928 2,808 2,25k,892,863,908,928 2,302 2,k20 2,305 2,88 2,8? 2,20c 2,27 2,9 2,233 2,270 2,279 2,3kO 2,358 2,3*8 I'M 2,79 2,709 2,89 2,697 2,697 2,699 2,72 2,70 2,85 2,8kk 2,795 2,705 2,69k 2,697 2,532 2,622 2,70k 2,666 2,60 2,6k7 2,728 2,8k2 2,923 3,05k 3,090 3,206 3,320 3,270 3,7k 3,6 3,37 3,3kl 3,562 3,787 3,9k8 k,o98 k,087 k,i88 k,3ko k,563 k,727 5,069 5,399 5,6k8 5,850 6,083 6,35 6,550 6,868 7,249 7,7k 8,307 8,897 9,302 9,38 9,33 9,439 9,494 9,502 9,57 9,465 9,00k 8,967 9,425 9,78 9,773 Data iacla* Alaska «! Hawaii tesiaaias 959 This ioclastoa has Daca lot th» 2 ^ : : I ia *a iacrcasc of 22,000 (0 p«ec«et) ia ta«aoaapicaltnm! total!«ta«digitized for FRASER

40 ESTABLISHMENT DATA EMPLOYMENT B2: Employees on nonagricultural payrolls, by industry (In thousands) Industry NOV. All employees Production workers TOTAL PRIVATE SECTOR MINING M E T A L MINING Iron ores. Copper ores , 42 56,95 6kO 69,234 56, ,923 56, ,397 55, ,858 5^, ^7,253 ^7, , , , COAL MINING Bituminous coal and lignite mining ^ H I H7 OIL AND GAS EXTRACTION Crude petroleum and natural gas fields... Oil and gas field services n4.o NONMETALLICMINERALS, EXCEPT FUELS Crushed and broken stone Sand and gravel l' CONTRACT CONSTRUCTION 3,355 3,^93 3,55 3,307 3,39 2,840 2,978 2,999 2,808 GENERAL BUILDING CONTRACTORS....,02,028,006, HEAVY CONSTRUCTION CONTRACTORS Highway and street construction Heavy construction, nee ^ SPECIAL TRADE CONTRACTORS Plumbing, heating, air conditioning... Painting, paper hanging, decorating.... Electrical work Masonry, stonework, and plastering.... Roofing and sheet metal work, , ^ , ,626, , , ^ ,3^ C C, MANUFACTURING 9,962 9,989 20,023 9,660 9,49 4,689 4,76 4,739 4,489 4,327 DURABLE GOODS NONDURABLE GOODS,709 8,253,653 8,336,655 8,368,534 8,26,32 8,70 8,539 6,50 8,492 6,224 8,49 6,248 8,440 6,049 8,236 6,09 Durable Goods ORDNANCE AND ACCESSORIES Ammunition, except for small arms Complete guided missiles Ammunition, exc. for small arms, nee... 3^ ,9 56.O ^ A LUMBER AND WOOD PRODUCTS Logging camps & logging contractors Sawmills and planing mills Sawmills and planing mills, general.... Millwork, plywood & related products Millwork Veneer and plywood.... Wooden containers Wooden boxes, shook, and crates Miscellaneous wood products T68 36 ~ ^ ~3 ~73.O ; : " See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

41 ESTABLISHMENT DATA EMPLOYMENT B2: Employees on nonagricultural payrolls, by industry Continued SIC Code Industry (In thousands) All employees pt. Q8 Q68 Production worker IQ ,9 Durable Goods Continued FURNITURE AND FIXTURES. Household furniture Wood household furniture Upholstered household furniture Mattresses and bedsprings Office furniture Partitions and fixtures Other furniture and fixtures I8I 89.I I69.O ,9 329 STONE,CLAY, AND GLASS PRODUCTS... Flat glass. Glass and glassware, pressed or blown... Glass containers Pressed and blown glass, nee Cement, hydraulic Structural clay products Brick and structural clay tile Pottery and related products Concrete, gypsum, and plaster products... Other stone and nonmetallic mineral products Abrasive products I 6 29.O 4 I I , «65. 28, 4, 82, , O I I 6O , , ,3, , , ,8 PRIMARY METAL INDUSTRIES Blast 'furnace and basic steel products... Blast furnaces and steel mills. Iron and steel foundries Gray iron foundries Malleable iron foundries Steel foundries Nonferrous metals Primary aluminum Nonferrous rolling and drawing Copper rolling and drawing Aluminum rolling and drawing Nonferrous wire drawing and insulating.. Nonferrous foundries Aluminum castings Other nonferrous castings. Miscellaneous primary metal products... Iron and steel forgings FABRICATED METAL PRODUCTS Metal cans Cutlery, hand tools, and hardware Cutlery and hand tools, incl. saws Hardware, nee Plumbing and heating, except electric.... Sanitary ware & plumbers' brass goods.. Heating equipment, except electric Fabricated structural metal products Fabricated structural steel Metal doors, sash, and trim Fabricated plate work (boiler shops)... Sheet metal work Architectural and misc. metal work Screw machine products, bolts, etc... Screw machine products Bolts, nuts, rivets, and washers Metal stampings Metal services, nee Misc. fabricated wire products Misc. fabricated metal products Valves, pipe, and pipe fittings,25 22 * 20 7 L, , , , O ^9, IO IO See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary., O , O , I , I O, O , O , * , , , , ,

42 ESTABLISHMENT DATA EMPLOYMENT B2: Employees on nonogricultural payrolls, by industrycontinued SIC Code , , , , , , Industry Durable GoodsContinued MACHINERY, EXCEPT ELECTRICAL Engines and turbines Steam engines and turbines Internal combustion engines, nee Farm machinery Construction and related machinery Construction and mining machinery Oil field machinery Conveyors, hoists, cranes, monorails.., Industrial trucks and tractors Metal working machinery Machine tools, metal cutting types... Special dies, tools, jigs, & fixtures... Machine tool accessories Misc. metal working machinery Special industry machinery Food products machinery Textile machinery Printing trades machinery General industrial machinery Pumps and compressors Ball and roller bearings Blowers and fans.... Power transmission equipment Office and computing machines Computing machines and cash registers.. Service industry machines Refrigeration machinery.. Misc. machinery, except electrical ELECTRICAL EQUIPMENT AND SUPPLIES Electric test & distributing equipment.... Electric measuring instruments... 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 equipment Communication equipment Telephone and telegraph apparatus Radio and TV communication equipment.. Electronic components and accessories... Electron tubes Other electronic components Misc. electrical equipment & supplies... Engine electrical equipment TRANSPORTATION EQUIPMENT Motor vehicles and equipment Motor vehicles Passenger car bodies., Truck and bus bodies Motor vehicle parts and accessories... Truck trailers Aircraft and parts Aircraft Aircraft engines and engine parts Other aircraft parts and equipment Ship and boat building and repairing... Ship building and repairing, , ,06 8J7 8 (In thousands) All employees Q68,9^ l , *6 68 2, I8O 4, Q , , O See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary., o O 77 I98.I , , , ,93. 05, , 244, 9. 39«40, 30, 344, 8, 23, 62, , 4, 40, 28, 289, 8, 64, , 25, , , , , H , , Production workers I , , , , O , , , , , , , ,

43 ESTABLISHMENT DATA EMPLOYMENT B2: Employees on nonagricultural payrolls, by industry Continued SIC Code Industry Q8 ands) All employees NOV. Production workers' Durable GoodsContinued , , ,8,9 393 TRANSPORTATION EQUIPMENTContinued Boat building and repairing Railroad equipment.... Other transportation equipment... INSTRUMENTS AND RELATED PRODUCTS.. Engineering & scientific instruments Mechanical measuring & control devices.. Mechanical measuring devices Automatic temperature controls Optical and ophthalmic goods Ophthalmic goods Medical instruments and supplies Photographic equipment and supplies Watches, clocks, and watchcases MISCELLANEOUS MANUFACTURING INDUSTRIES Jewelry, silverware, and plated ware Toys and sporting goods. Games, toys, dolls, & play vehicles... Sporting and athletic goods, nee Pens, pencils, office, and art supplies... Costume jewelry and notions Other manufacturing industries Musical instruments and parts IO IO , n6*o O Nondurable Goods ,6 2032, FOOD AND KINDRED PRODUCTS Meat products Meat packing plants Sausages and other prepared meats... Poultry dressing plants Dairy products Ice cream and frozen desserts Fluid milk Canned, cured, and frozen foods Canned, cured, and frozen sea foods.. Canned food, except sea foods Frozen fruits and vegetables Grain mill products Flour and other grain mill products... Prepared feeds for animals and fowls. Bakery products Bread, cake, and related products... Cookies and crackers Sugar Confectionery and related products Confectionery products Beverages. Malt liquors Bottled and canned soft drinks Misc. foods and kindred products TOBACCO MANUFACTURES. Cigarettes Cigars TEXTILE MILL PRODUCTS Weaving mills, cotton Weaving mills, synthetics Weaving and finishing mills, wool. Narrow fabric mills Knitting mills Women's hosiery, except socks. Hosiery, nee.. Knit outerwear mills Knit underwear mills , O , I87 56, , I85.I See footnotes at end of table. NOTE: Data for the 2 most recent months are prelir, , O O , I , I , * o.i , _ , S , , , ,

44 ESTABLISHMENT DATA EMPLOYMENT B2: Employees on nonagricultural payrolls, by industrycontinued (In thousands) SIC Code Industry All employees NOV. Production workers' Nondurable Goods Continued , , ,2, , ,6,7, , ,2 286, ,9 TEXTILE MILL PRQDUCTSContinued Textile finishing, except wool Floor covering mills Yarn and thread mills Miscellaneous textile goods... APPAREL AND OTHER TEXTILE 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... Men's and boys' work clothing Women's and misses' outerwear Women's and misses'blouses and waists Women's and misses' dresses Women's and misses' suits and coats.. Women's and misses' outerwear, n e e. Women's and children's undergarments.. Women's and children's underwear... Corsets and allied garments Hats, caps, and millinery Children's outerwear Children's dresses and blouses... Fur goods and miscellaneous apparel... Misc. fabricated textile products Housefurnishings PAPER AND ALLIED PRODUCTS Paper and pulp mills Paperboard mills Misc. converted paper products... Bags, except textile bags Paperboard containers and boxes Folding and setup paperboard boxes.. Corrugated and solid fiber boxes Sanitary food containers PRINTING AND PUBLISHING Newspapers Periodicals Books Commercial printing < Commercial printing, ex. lithographic, Commercial printing, lithographic..., Blankbooks and bookbinding Other publishing & printing ind CHEMICALS AND ALLIED PRODUCTS.. Industrial chemicals Alkalies and chlorine Industrial organic chemicals, n e e.. Industrial inorganic chemicals, n e e. Plastics materials and synthetics Plastics materials and resins Synthetic fibers Drugs Pharmaceutical preparations Soap, cleaners, and toilet goods. Soap and other detergents Toilet preparations Paints and allied products Agricultural chemicals Fertilizers, complete & mixing only.. Other chemical p r o d u c t s... Explosives... PETROLEUM AND COAL PRODUCTS Petroleum refining Other petroleum and coal products ,429 3^ , I O, ^ , , , ^ , , See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary , I I , , O , I I , , II no 67, O I , L I8O I , U I * I67.I I , O 7 HO I74.I I , O O

45 ESTABLISHMENT DATA EMPLOYMENT B2: Employees on nonagricultural payrolls, by industry Continued (In thousands) SIC Code Industry All employees TEvT" Production workers ^ ", ,3, ,3,57, Nondurable Goods Continued RUBBER AND PLASTICS PRODUCTS, NEC Tires and inner tubes Other rubber products. Rubber footwear Miscellaneous plastics products LEATHER AND LEATHER PRODUCTS... Leather tanning and finishing... Footwear, except rubber Other leather products Luggage Handbags and personal leather goods I87.O O O o 3 I TRANSPORTATION AND PUBLIC UTILITIES 4,405 ^, RAILROAD TRANSPORTATION.. Class I railroads , , , LOCAL AND INTERURBAN PASSENGER TRANSIT. Local and suburban transportation Taxicabs Intercity highway transportation TRUCKING AND WAREHOUSING Trucking and trucking terminals Public warehousing TRANSPORTATION BY AIR Air transportation PIPE LINE TRANSPORTATION OTHER TRANSPORTATION AND SERVICES WATER TRANSPORTATION TRANSPORTATION SERVICES COMMUNICATION Telephone communication Telegraph communication'. Radio and television broadcasting ELECTRIC, GAS, AND SANITARY SERVICES Electric companies and systems Gas companies and systems Combination companies and systems Water, steam, & sanitary systems... WHOLESALE AND RETAIL TRADE WHOLESALE TRADE Motor vehicles & automotive equipment... Drugs, chemicals, and allied products.... Dry goods and apparel Groceries and related products Electrical goods Hardware; plumbing & heating equipment... Machinery, equipment, and supplies Miscellaneous wholesalers RETAIL TRADE RETAIL GENERAL MERCHANDISE Department stores Mail order houses Variety stores. FOOD STORES. Grocery, meat, and vegetable stores 4,548 3,75 0, , ,0 3to ,0 833.^ ,336 3, ,22 0,599 2,5, ,67, , ^ , ,208 3, ,28 0,495 2,07, , I ,07 3, ,86 0,40 2,25, ,638,59,467, , ,757 3, ,80.0 0,69 2,06,, ,598,42 2,953 3,58 9, k ,749 3, ,02 9,603,979, ^,546,38T O ,624 3, ,020,90, ,5, O 39 2,500 3, A5 2,087, ,^7, ,243 3, ,227,897, ,480,39.^ See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

46 ESTABLISHMENT DATA EMPLOYMENT B2: Employees on nonagricultural payrolls, by industrycontinued Industry NOV. (In thousands) All employees Production workers WHOLESALE AND RETAIL TRADE (Continued) APPAREL AND ACCESSORY STORES... Men's & boys'clothing & furnishings Women's readytowear stores Family clothing stores Shoe stores FURNITURE AND HOME FURNISHINGS STORES Furniture and home furnishings, EATING AND DRINKING PLACES OTHER RETAIL TRADE Building materials and farm equipment.. Automotive dealers & service stations.. Motor vehicle dealers Other automotive & accessory dealers.. Gasoline service stations Miscellaneous retail stores Drug stores and proprietary stores... Book and stationery stores Farm and garden supply stores Fuel and ice dealers 679.O ,37 3, , , ,40 3,27 55, , ,200 3,22 538, , ,23 3,80 5*0, , ,220. 2, ,24 2, ,05 2, I ,088 2, FINANCE, INSURANCE, AND REAL ESTATE 4 Banking Credit agencies other than banks Savings and loan associations Personal credit institutions Security, commodity brokers & services.... Insurance carriers Life insurance Accident and health insurance. Fire, marine, and casualty insurance.... Insurance agents, brokers, and service.... Real estate Subdividers and developers Operative builders Other finance, insurance, & real estate.... SERVICES. 3,40^.0,637 Hotels and other lodging places 6,78 Hotels, tourist courts, and motels, Personal services,029. Laundries and dry cleaning plants Photographic studios Miscellaneous business services Advertising Credit reporting and collection Services to buildings Miscellaneous repair services Motion pictures Motion picture filming & distributing... Motion picture theaters and services.... Medical and other health services 73 Hospitals Legal services.» Educational services. Elementary arid secondary schools Colleges and universities. Miscellaneous services Engineering & architectural services... Nonprofit research agencies 3,^ I , , , ,7,69 206, , I , ,0 54 4, O ,69,679 20,000 3* See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary. 3, I83.I Jk.k kk.k ,9 0, , , J 3 2,58,59 200,07^ , , , ,495, , ,703 2, O , &. 283.I , ii 502. S ko.e 3 2,

47 ESTABLISHMENT DATA EMPLOYMENT B2s Employees on noncqffculfurd payrolls, by industrycontinued SIC Code Industry (In thousands) All employees Production workers GOVERNMENT 2,470 2,42 2,30 2,0,876 92,93 92 FEDERAL GOVERNMENT 5. Executive... Department of Defense Post Office Department... Other agencies... Legislative.. Judicial STATE AND LOCAL GOVERNMENT. State government State education Other State government Local government Local education Other local government 2,697 9,773 2,694 2,658, ,78 2,498,020,^77 7,220 ^,97. 3,02 2,705 2,670, ,38 87,509 7>o4o 3,97 3,06 2,709 2,67, ,302 2, ,42 6,88 3,999.^ 2,88 2,707 2,67, ,69 2,379 A 959,420 6,789 3,98 2,87 *Data relate to production workers in mining and manufacturing: to construction workers in contract construction: and to nonsupervisory workers in wholesale and retail trade; finance, insurance, and real estate; transportation and public utilities; and services. Transportation and public utilities, and services are included in Total Private but are not shown separately in this table. 2 Beginning January 965, data relate to railroads with operating revenues of $5,000,000 or more. 3 Data for nonsupervisory workers exclude messengers. *Data for nonoffice salesmen excluded from nonsupervisory count for all series in this division. 5 Prepared by the U.S. Civil Service Commission. Data relate to civilian employment only and exclude Central Intelligence and National Security Agencies. *Not available. NOTE: Data for the 2 most recent months are preliminary.

48 ESTABLISHMENT DATA SEASONALLY ADJUSTED EMPLOYMENT B4: Indexes of employment on nonagricultorol payrolls, by industry division, 99 to dots, monthly data seasonally adjusted 9575^=00 Year and month TOTAL Mining * * * * *. 9*2. 9*3. 9**. 9*5. *6 9*7.. 9*8.. 9* * i ' 966.,.. : November. December. : January.. February. March... April... May June August., September October,. November. 5 as 9 5*.l 53.* 5* * * *9.* 5 55.* * * T * * * * *.* 5 ** 36.* * 3 3.* n* * U 06 2*.O IO *.* S * I O * sa * *5* *7 * t as 6 7 5* If 3.* * * 6*,2 *9 5* *. 57 *9 * ** 5 5* *.* O * 0* * H9 9 Coo tract construction Transportation and public utilities 9*0 9 8* 8 95*2 93.*» 96.J * I 6$ * * 80 S *.l O*.O * IO IO6 IO IO Wholesale and retail trade * *0 4 ** 48 * *.l * * * *8«* * O * * * IO , Wholesale * * * II Retail trade * 8* * 96.* 99.* * Finance, insurance, and real estate 8 3 3* *7.* *9 *9.0 * * * 4 * * * I * HI Total 3*.l * Z * *0.* 4 4 *6 *7 * * * 76 6.* 8 8* * * 3*.o * *o I *.l local 4 I*.* * 5* * *.* I I NOTE: Data include Alaska and Hawaii beginning 959. This inclusion has resulted in an *«of 200 (0 percent) in the nonage Itural total or the Much 9)9 benchnark month. Data for the 2 most recent mondis are preliminary.

49 ESTABLISHMENT DATA SEASONALLY ADJUSTED EMPLOYMENT B5: Employees on nonagrkultural payrolls, by industry, seasonally adjusted (In thousands) Industry division and group Aug. July May Mar. Feb. Jan. Dee. TOTAI, 68,803 68,6kO 68,382 68,34 68,70 68,039 67,792 67,755 67,656 67,600 67,058 67,060 66,778 MINING CONTRACT CONSTRUCTION *.. 3,260 3,280 3,252 3,95 3,89 3,74 3,245 3,33 3,330 3,07 3,275 3,24 MANUFACTURING 9,89 9,794 9,755 9,748 9, ,693 9,657 9,607 9,62 9,62 9,593 9,58 DURABLE GOODS.,636,592,577,563 H,,69 n,57,545,533,495,54,54,498,463 Ordnance and accessories Lumber and wood products.... Furniture and fixtures Stone, clay, and glass products. Primary metal industries Fabricated metal products. Machinery, except electrical... Electrical equipment Transportation equipment Instruments and related products Miscellaneous manufacturing ,273,*5,990,960 2, ,272,40,965,954 2, ,279,39,957,964 2, ,29,385,953,963 2, ,34, ,30,386,95,960 2 ' 4& to,322,376,949,963 2, ,320,373,949, ,304,374,960,957 2,08 ' ,305,369,957,965 2,05 ' ,306,374,962, *0,306,374,942,962 x '$ ,306,360,977, NONDURABLE GOODS... 8,83 8,202 8,78 8,85 8,57 8,206 8,48 8,24 8,2 8,098 8,07 8,095 8,055 Food and kindred products Tobacco manufactures Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products. Petroleum and coal products Rubber and plastics products, nee Leather«and leather products, ,070 i,o ,778 84, ,066, ,773 87, ,063, ,778 90,42 702,067, , ,46 697,064, , , ,062,05) , , ,06, , ,47 692,058, , X '69O,058, , '690,055, , ,054, , , ,054, , , ,053, TRANSPORTATION AND PUBLIC UTILITIES 4,383 4,362 4,365 4,358 4,346 4,336 4,28 4,33 4,332 4,342 4,37 4,302 4,297 WHOLESALE AND RETAIL TRADE 4,34 4, 306 4,222 ; 4,8 4,7 4,086 4,049 4,,009 3,999 3,920 3,88 3,793 3,79 WHOLESALE TRADE RETAIL TRADE 3,78 0,596 3,707 0, ,695 >,527 3,683 0,498 3,680 0,437 3,679 0,407 3,655 3, " 0,368 3,632 3, , * 3,586 3,58 0,232 0,22 3,584 0,207 FINANCE, INSURANCE, AND REAL ESTATE. 3,4l8 3,409 3,387 3,376 3,350 3,335 3,334 3,323 3,3H 3,334 3,29 3,289 3,273 SERVICES... Hotels and other lodging places Personal services Medical and other health services Educational services... 0, ,027 0,60 0, ,07,08 2,79 2,693,048,029 0,548 0,498 0,467 77,09 2,678, ,08 2,660,026 77,023 0,425 0,402 77,09 75,09 2,6p2,046 0,45 0, ,023 72,026 0,33 0,36 73,022 2,558,035 73,023 2,540,033 0,270 7H,028 2,58,025 GOVERNMENT... 2,28 2,298 2,27 2,270 2,256 2,232 2,34 2,088 2,053 2,02,978,8,82 FEDERAL STATE AND LOCAL. 2,700 9,58 2,705 9,593 2,76 9,50 2,75 9,59 2,788 9,468 2,795 9,437 2,72 9,43 2,77 9,37 2,78 9,335 2,72 9,300 2,72 9,257 2,709 9,80 2,692 9,20 NOTE: Data for the 2 most recent months are preliminary O 6 8 4

50 ESTABLISHMENT DATA SEASONALLY ADJUSTED EMPLOYMENT B6: Production workers in industrial and construction activities seasonally adjusted (la thousands) Major industry group Aug. July June May Apr. Mar. Feb. Jan. Dec. TOTAL.. 7,769 7,736 7,704 7,650 7,686 7,676 7,672 7,733 7,673 7,738 7,459 7,63 7,52 MINING CONTRACT CONSTRUCTION 2,747 2,768 2,739 2,688 2,687 2,670 2,739 2,8 2,824 2,88 2,596 2,772 2,76 MANUFACTURING... 4,53 4,524 4,476 4,474 4,523 4,449 4,439 4,386 4,393 4,*05 4,400 4,338 DURABLE GOODS ,5 8,428 8,40 8,399 8,458 8,424 8,40 8,»O6 8,37 8,382 8,420 8,362 Ordnance and accessories Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries,007,009,02,023,044,042,054,054,038,040,042,045,043 Fabricated metal products,089,09,073,066,068,070,060,059,062,056,062,063,049 Machinery, except electrical Electrical equipment and supplies...,36,306,339,30,332,33,33,33,322,308,33^,305,33,32,332,30,346,3,344,36,343,39,33,39,366,35 Transportation equipment,446,439,45,478,438,49,425,429,423,420,4,390 Instruments and related products Miscellaneous manufacturing industries $ NONDURABLE GOODS 6,076 6,096 6,066 6,075 6,054 6,099 6,048 6,033 6,05 6,0 5,985 6,0 5,976 Food and Kindred products,8,94,83,87,85,204,85,9,8,78,8,9,83 Tobacco manufactures Textile mill products Apparel and other textile products,247,259,254,245,249,265,256,25,243,240,233,243,238 Paper and allied products Printing and publishing Chemicals and allied products Petroleum and coal products Rubber and plastics products, nee 44l Leather and leather products '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.

51 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT B7: Employees on nonagricultural payrolls (In thousands) ALABAMA.. Birmingham. Huntsville.. Mobile Montgomery. Tuscaloosa. ALASKA State and area ; o Mining 8 5 l) I] 8,5 5 Contract construction ,99 57 Manufacturing O ARIZONA. Phoenix. Tucson ^ I 87.I I 8 ARKANSAS Fayetteville Fort Smith Little RockNorth Little Rock. Pine Bluff (l) (l) (l) ) ) CALIFORNIA AnaheimSanta AnaGarden Grove. Bakersfield Fresno Los AngelesLong Beach Oxnard Ventura. Sacramento San BernardinoRiversideOntario. San Diego... San FranciscoOakland ^ San Jose 2 Santa Barbara......«... Santa Rosa * Stockton VallejoNapa 2 6, ,79 87, , , ,79 87.O , , , , ' , , : , V COLORADO Denver.. > 689.O 436, O I 05 7 CONNECTICUT. Bridgeport. Hartford New Britain... New Haven... Stamford... Waterbury....,6 k , , (3) 3) i! il (3) (3) I3) (3) k DELAWARE Wilmington U , DISTRICT OF COLUMBIA 4 Washington SMSA 668, (*> 2 4 FLORIDA.,. Fort LauderdaleHollywood. Jacksonville Miami Orlando Pensacola. TampaSt. Petersburg West Palm Beach, , , GEORGIA.,44,44,39 56.O (l) (l) 8 ) 6 94 i O 7 45 I See footnotes at end of table. NOTE: Data for the current month are preliminary.

52 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT for States and selected areas, by industry divisionthousands) Transportation and public utilities 5^ % * ^ w 35. L i I65.O Wholesale and retail trade , O , ll.l ,376 78, U Finance, insurance, and real estate I968 40o6 6 ' k w o '8 7 w , " Services , l '5 78.O ' n ' O , O 60.I 7 4i.o , ,35 6O io4.o Government , , I , " O o 4i Digitized for FRASER

53 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT B7: Employees on nonagricultural payrolls 4 c 7 8 o in 2 3 I'I PO?? JO 33 3?i 35 3^ 3R 39 in { J2 3 )i ^ so ^ 54 GEORGIA (continued) Macon HAWAII.., IDAHO Boise ILLINOIS Chicago 5 ChicagoNorthwestern Indiana... Rockford INDIANA 2 Evansville GaryHammondEast Chicago 5... South Bend Terre Haute IOWA. KANSAS 2 Topeka 2 Wichita 2 KENTUCKY LOUISIANA New Orleans MAINE LewistonAuburn MARYLAND 4 MASSACHUSETTS Fall River Lowell New Bedford * SpringfieldChicopeeHolyoke TOTAL ,36, l I o ,048* , ,22, L ,289 2,958 3,69., , Q , ,22, ,230 2,938 3, , l.o «3 30, , ,08,24 44* (In thousands) Mining ) ) (I)' 2 * (* 7 ] LL.l. ' 25 n 5 (l) (l) 3 CD ( n 2 5«9 (*s 7 ) l) »5 3 (l) 2 5 (3) (3) (3) 7 ) ) ) j f ) > \ LI j J Contract construction Q0 *) *) # ) *) A » ,8 9.O ' , 7 3 I ,380 ' X J It 8 0 vfanufacturing ,38 96, i4.o ,36 969, O i4.o See footnotes at end of table. NOTE: Data for toe current month are preliminary. Digitized for FRASER

54 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT for States and selected areas, by industry division Continued Transportation and public utilities *) *) X # X * SCT5t. 96' f * 9 2* O ^ Wholesale and retail trade (*") ^ " 284! « O ^ I (Ir thousands) Finance, insurance, and real estate 29 * *) * * i4.o (* (* o , ^ 69 5*6 26; Services O 65 ( * X * , , *0 io # ) *) *) Q.k O ^ 8 60 (* (* (* ( * ( * ; 37A" I 68 7 h 6.* Government (* (* (* i ~36.f ^5 8 58O I6 6 6 I ^ ^ Digitized for FRASER

55 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT B7: Employees on nonagricultural payrolls (In thousands) State and area MICHIGAN Ann Arbor Battle Creek Bay City Detroit.... Flint Grand Rapids.. Jackson Kalamazoo.., Lansing MuskegonMuskegon Heights. Saginaw C*) <*) <*) <*) 2, , , Mining CD Octo <*) <*) Contract construction Oct«<*) Manufacturing, , MINNESOTA... DuluthSuperior MinneapolisSt. Paul., , , ,2 5.& MISSISSIPPI Jackson MISSOURI... Kansas City St. Joseph.. St. Louis.. Springfield., , , (3). 8 (3). 8 (3) A MONTANA.. Billings... Great Falls. NEBRASKA. Lincoln.. Omaha... NEVADA.. Las Vegas Reno <*) (3) (3) (6) (3) (6) 26 <*) NEW HAMPSHIRE 2 Manchester.., NEW JERSEY.... Atlantic City... Jersey City r Newark 7... PatersonCliftonPa Perth Amboy... Trenton...,...,, , , NEW MEXICO Albuquerque NEW YORK AlbanySchenectadyTroy Binghamton Buffalo Elmira Monroe County 8 Nassau and Suffolk Counties^. New YorkNortheastem New Jersey, New York SMSA 7... New York City 9 Rochester.... Rockland County Syracuse UticaRome. Westchester County, ,52,786, , ,49,76, , ,42,707, CD ! :40 6, ,77, , ,770, , ,77, See footnotes at end of table. NOTE: Data for the current Month are preliminary.

56 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT for States and selected areas, by industry division.continued (In thousands) Transportation and public utilities <*> <*) Wholesale and retail trade o 9 48 <*) , ,34, , , , , Finance, insurance, and real estate o O Services , , O , , , , Government <*) , , , Digitized for FRASER

57 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT B7: Employees on nonagricultural payrolls o Q ?0?? ? ^9 +0 n i l7 8 0 o o 53 >4 NORTH CAROLINA Asheville GreensboroWinstonSalemHigh Poin Raleigh NORTH DAKOTA FargoMoorhead OHIO. Akron Canton Cincinnati '... Cleveland Columbus Toledo YoungstownWarre'n OKLAHOMA Oklahoma City Tulsa OREGON Eugene. Portland Salem PENNSYLVANIA AllentownBethlehemEaston Altoona Erie Harrisburg Johnstown Lancaster Philadelphia Pittsburgh Reading Scranton WilkesBarre Hazleton... York RHODE ISLAND ProvidencePawtucketWarwick... SOUTH CAROLINA... Charleston Columbia. Greenville... SOUTH DAKOTA Sioux Falls TENNESSEE Chattanooga. Knoxville Memphis Nashville TEXAS Austin BeaumontPort ArthurOrange... TOTAL, , , , , ,487.0 :, , , , , 3,247 II ,46, , , , »9, ,38 (In thousands) Mining (l) (l) 30 P, ) ) ) (l) (l) 4o (if, 9.0 (l) (l) (l) 72 (I) (l (l (l 4 (l) (l), 9. (l) _ Contract construction I I , I , , ? C Manufacturing , , , O , I O See footnotes at end of table. NOTE: Data for the current month are preliminary. Digitized for FRASER

58 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT for States and selected areas, by industry division.continued (In thousands) Transportation and public utilities ; I ^6 5* Wholesale and retail trade o.o O ' kk.e o Finance, insurance, and real estate ^ Services 80 2 ' ' O o.i O Ik.k I Government I I * O l Ik Digitized for FRASER

59 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT B7: Employees on nonagricultural payrolls (In thousands) TOTAL Mining Contract construction Manufacturing p 4 5 f n TEXAS (continued) Dallas El Paso Fort Worth GalvestonTexas City Houston.. Lubbock San Antonio Waco Wichita Falls......'... UTAH Salt Lake City 593* o Sent.. 5_ Sent _ _ _ I i? 3 4 ^ In" 7 IP. in on?"? pp?^' P4?^ P6 P 7 28 VERMONT *. Springfield VIRGINIA Newport NewsHampton.. NorfolkPortsmouth Richmond WASHINGTON 2.. SeattleEverett Spokane 2 Tacoma 2 : WEST VIRGINIA Charleston... HuntingtonAshland , , , , , , (l) (l) (l) (l) M ^ k Q 366.I PQ?n WISCONSIN Green Bay Kenosha La Crosse... Madison Milwaukee..., , ,46 ' (l) (l) (l) (l) (l) WYOMING 2 Casper 2... Cheyenne Combined with services. Series revised to I968 benchmark; not strictly comparable with previously published data. Combined with construction. Federal employment in dryland and Virginia sectors of the Washington Standard Metropolitan Statistical Area is included in data for the District of Columbia. 5 Area included in ChicagoNorthwestern Indiana Standard Consolidated Area. 6 Combined with manufacturing. 7 Area included in New YorkNortheastern New Jersey Standard Consolidated Area. ' Subarea of Rochester Standard Metropolitan Statistical Area. Subarea of New York Standard Metropolitan StatisticalArea. Total includes data for industry divisions not shown separately. Services excludes agriculture, forestry, and fisheries. " Not available. NOTE: Data for the current month are preliminary. SOURCE: Cooperating State agencies listed on inside back cover.

60 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT for States and selected areas, by industry division Continued (In thousands) Transportation and public utilities ' = A o o Wholesale and retail trade I I Finance, insurance, and real estate k "i b. 7 6*.o * " 2. Service s J 78. Sept, O O , O Government O O 6.O Q Digitized for FRASER

61 ESTABLISHMENT DATA HISTORICAL HOURS AND EARNINGS C: Gross hours and earnings of production or nonsupervisory workers on private nonagricultural payrolls, 947 to date Year and a oath Average weekly earnings Average weekly hours Average hourly earnings Total private ' Average weekly earnings Average weekly hours Average hourly earnings Manufacturing Average weekly earnings Average weekly hours Average hourly earnings Durable goods Average weektv earnings Average weekly hows Average hourly earnings Nondurable goods 9b7 9b8, 9^ b I fe : November... December... I968: January... February... March.... April May June. July August... September... October November... Year and month JSt:::::::::::::: <* , 95b I b : November... December... : January February. March.. April... May June. July August September... October November... $^8 * b t V b b 03. Jk 0^ 05 iqb3 iob0 lob.bb b IIO7 HO8 09 b bo.o 39.b ^ O b $, I.b5 2 I b b $b b O.b7 7O.b b b Ub bo.b bo.o 39. bo bo bo bo 39 ii0 bo.b b bo.b bo bo bl bl bo bo bl.l bo.o bo bo 39 bo bl.l bo bo bl bl.l bo $, l.bbo 6 5 b b b b $ b3 68.b bb 005 lob b , b0 l»0.b 39.b bl.l bl bl bl bo.l bl bl.o b0 39 bo bo.l bo bo bl.l bl.b b b bl bl bl bo bl bl bo bl bl bl bl.l bl bl bl $, I.b53 9 I b3 2.b b $b6.o3 b95o b I b.ll 78 8O bb 98.b bo 069 0b b ni.bb bo bo.i b0 39 bo.l bo.l bo.l bo.o bo bo bo.i 39 $l.lb b7 l.bb 8 2 I7 7 I b5 7 2 b Mining Contract construction Wholesale and retail trade Finance, insurance, and real estate $59b b.ll b O bb 062 H0.b3 llb.bo 7b 22 30b b lb05 lblb lbb.09 Ib2 lbb2 lb Ib6 bo 39.b b bo b0 bo.l 38 bo bo,b bo bo bl bl b b b b b bl bl bl b b b3.b b b3.b b b bl $l.b69 6b b b b6 2.b7 6 b b $ bl bl b b Ib6 5b b7 5bb 597 I62.b3 l6bb b 79 7b b *0 36 * b b $lbl b L 3.bl b.n b2 b5 bb b7 b8 b7 b2 b9 bb b8 b.b7 b bl $38.07 bo0 b3 b779 b W b.bl 6 67.bl b bl 8b.b9 8b5 8b ?.b7 868 bo bo.b b0 b0 bo bo.o b b $ob ) 5 l.bo I.b7 lb bO 2.bO 2. bo 2.bb $b b5.b8 b b b b 7b 7 80b 8b b b IOO 0b3 0b TT TT $l.lbo X) 60 bo I.b5 8 I5 0 8 lb I b !? b *For coverage of series, gee footnote, table B2. NOTE: Data include Alaska and Hawaii beginning 959. Data for the 2 most recent months are preliminary. Digitized for FRASER

62 ESTABLISHMENT DATA HOURS AND EARNINGS C2: Gross hours and earnings of production or nonsupervisory workers on private nonagricultural payrolls, by industry sic Code TOTAL PRIVATE. Industry Q68 $09 Average weekly earnings $ $07 $04 IQ67 $06 NOV. $2 Average hourly earnings $2 68 $2,9 6 $3 967 $ , , ,24,25, ,263 MINING M ETAL MINING Iron ores Copper ores.. i COAL MINING Bituminous coal and lignite mining... OIL AND GAS EXTRACTION Crude petroleum and natural gas fields. Oil and gas field services NONMETALLIC MINERALS, EXCEPT FUELS Crushed and broken stone lontract CONSTRUCTION GENERAL BUILDING CONTRACTORS. HEAVY CONSTRUCTION CONTRACTORS. Highway and street construction Heavy construction, n e c,, SP.ECIAL TRADE CONTRACTORS. Plumbing, heating, air conditioning... Painting, paper hanging, decorating... Electrical work Masonry, stonework, and plastering... Roofing and sheetmetal work MANUFACTURING... DURABLE GOODS NONDURABLE GOODS Durable Goods lia l4l H I U ORDNANCE AND ACCESSORIES Ammunition, except for small arms.. Complete guided missiles Ammunition, exc. for small arms, nee lto , ,9 LUMBER AND WOOD PRODUCTS Sawmills and planing mills Sawmills and planing mills, general. Millwork, plywood & related products. Millwork Veneer and plywood... Wooden containers.... Wooden boxes, shook, and crates.. Miscellaneous wood products FURNITURE AND FIXTURES Household furniture.. Wood household furniture Upholstered household furniture Mattresses and bedsprings Office furniture.. Partitions and fixtures Other furniture and fixtures 32 STONE, CLAY, AND GLASS PRODUCTS.. 32 Flat glass 322, Glass and glassware, pressed or blown 322 Glass containers 3229 Pressed and blown glass, nee 324 Cement, hydraulic 325 Structural clay products 325 Brick and structural clay tile 326 Pottery and related products 327 Concrete, gypsum, and plaster products 328,9 Other stone and nonmetallic mineral products 329 Abrasive products See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary ^ * o , , , ^ H *

63 C2: Gross hours and earnings of production or nonsupervisory workers on private nonagricultural payrolls, by industry ESTABLISHMENT DATA HOURS AND EARNINGS sic Code Industry Average weekly hours Average overtime hours TOTAL PRIVATE O , i, ,24,25, ,263 MINING. METAL MINING Iron ores Copper ores COAL MINING Bituminous coal and lignite mining.. OIL AND GAS EXTRACTION Crude petroleum and natural gas fields Oil and gas field services NONMETALLIC MINERALS, EXCEPT FUELS Crushed and broken stone CONTRACT CONSTRUCTION GENERAL BUILDING CONTRACTORS.. HEAVY CONSTRUCTION CONTRACTORS Highway and street construction... Heavy construction, nee SPECIAL TRADE CONTRACTORS... Plumbing, heating, air conditioning.. Painting, paper hanging, decorating.. Electrical work Masonry, stonework, and plastering... Roofing and sheet metal work... MANUFACTURING DURABLE GOODS. NONDURABLE GOODS Durable Goods o.i o.o o.i l o.i 4o ORDNANCE AND ACCESSORIES Ammunition, except for small arms.. Complete guided missiles Ammunition, exc* for small arms, nee, 4 4 4l , , ,9 329 LUMBER AND WOOD PRODUCTS Sawmills and planing mills Sawmills and planing mills, general Millwork, plywood & related products. Millwork Veneer and plywood Wooden containers Wooden boxes, shook, and crates... Miscellaneous wood products FURNITURE AND FIXTURES. Household furniture ;... Wood household furniture Upholstered household furniture... Mattresses and bedsprings Office furniture Partitions and fixtures Other furniture and fixtures STONE, CLAY, AND GLASS PRODUCTS. Flat glass. Glass and glassware, pressed or blown Glass containers Pressed and blown glass, nee... Cement, hydraulic Structural clay products Brick and structural clay tile Pottery and related products Concrete, gypsum and plaster products Other stone and nonmetallic mineral products Abrasive products o.o l o.i o "4l 4 4o.l l.l o.o o o.l o, o, _ 6 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary O685

64 ESTABLISHMENT DATA HOURS AND EARNINGS C2: Gross hours and earnings of production or nonsupervisory workers on private nonagricultural payrolls, by industry Continued sic Code Industry Durable GoodsContinued Average weekly earnings Q Average hourly earnings 966 Q68 06? , , ,3, , , ,8 PRIMARY METAL INDUSTRIES Blast furnace and basic steel products... Blast furnaces and steel mills Iron and steel foundries Gray iron foundries Malleable iron foundries.. Steel foundries Nonferrous metals Primary aluminum Nonferrous rolling and drawing Copper rolling and drawing Aluminum rolling and drawing Nonferrous wire drawing and insulating Nonferrous foundries Aluminum castings Other nonferrous castings. Miscellaneous primary metal products... Iron and steel forgings FABRICATED METAL PRODUCTS Metal cans Cutlery, hand tools, and hardware Cutlery and hand tools, incl.saws Hardware, ne c Plumbing and heating, except electric... Sanitary ware & plumbers' brass goods. Heating equipment, except electric.... Fabricated structural metal products... Fabricated structural steel Metal doors, sash, and trim Fabricated plate work (boiler shops).. Sheet metal work Architectural and misc. metal work... Screw machine products, bolts, etc Screw machine products Bolts, nuts, rivets, and washers Metal stampings Metal services, nee Misc. fabricated wire products Misc. fabricated metal products Valves, pipe, and pipe fittings $^ $ ^ * ^ I3O3 33.^6 $ i4l.io 3^5 3^ 408 3^ $ ^ I32.ll $ ^9 3^ A $ ^ $ W ^2 * ^ $3.^ ^ ^ $ , , , MACHINERY, EXCEPT ELECTRICAL Engines and turbines Steam engines and turbines Internal combustion engines, nee... Farm machinery Construction and related machinery Construction and mining machinery.... Oil field machinery Conveyors, hoists, cranes, monorails.. Industrial trucks and tractors Metal working machinery Machine tools, metal cutting types Special dies, tools, jigs & fixtures.. Machine tool accessories Misc. metal working machinery Special industry machinery Food products machinery Textile machinery Printing trades machinery General industrial machinery Pumps and compressors Ball and roller bearings Blowers and fans Power transmission equipment Office and computing machines Computing machines and cash registers Service industry machines Refrigeration machinery Misc. machinery, except electrical 45 ^ ^ s ^^ to ^ 54 7^ ll» See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary ^ 5^ ^ ^ ^5 8 3.J _n ^ M 3 2! ^ H ^ ^ ^ *09

65 C2: Gross hours and earnings of production or nonsupervisory workers on private nonagricultural payrolls, by industry Continued ESTABLISHMENT DATA HOURS AND EARNINGS sic Code Industry Average weekly hours Average overtime hours Durable GoodsContinued 33 PRIMARY METAL INDUSTRIES 33 Blast furnace and basic steel products Blast furnaces and steel mills 332 Iron and steel foundries 332 Gray iron foundries 3322 Malleable iron foundries 3323 Steel foundries.. 333,4 Nonferrous metals 3334 Primary aluminum Nonferrous rolling and drawing 335 Copper rolling and drawing 3352 Aluminum rolling and drawing 3357 Nonferrous wire drawing and insulating. 336 Nonferrous foundries 336 Aluminum castings 3362,9 Other nonferrous castings Miscellaneous primary metal products Iron and steel forgings 34 FABRICATED METAL PRODUCTS 34 Metal cans 342 Cutlery, hand tools, and hardware ,3,5 Cutlery and hand tools, inch saws Hardware, nee 343 Plumbing and heating, except electric ,2 Sanitary ware & plumbers' brass goods Heating equipment, except electric Fabricated structural metal products Fabricated structural steel Metal doors, sash, and trim 3443 Fabricated plate work (boiler shops) Sheet metal work 3446,9 Architectural and misc. metal work Screw machine products, bolts, etc 345 Screw machine products 3452 Bolts, nuts, rivets, and washers 346 Metal stampings 347 Metal services, nee 348 Misc. fabricated wire products 349 Misc. fabricated metal products ,8 Valves, pipe, and pipe fittings 35 MACHINERY, EXCEPT ELECTRICAL 35 Engines and turbines 35 Steam engines and turbines 359 Internal combustion engines, nee i Farm machinery 353 Construction and related machinery 353,2 Construction and mining machinery Oil field machinery ,6 Conveyors, hoists, cranes, monorails Industrial trucks and tractors...». 354 Metal working machinery Machine tools, metal cutting types Special dies, tools, jigs, & fixtures Machine tool accessories 3542,8 Misc. metal working machinery 355 Special industry machinery 355 Food products machinery 3552 I Textile machinery 3555 Printing trades machinery 356 General industrial machinery 356 Pumps and compressors 3562 Ball and roller bearings 3564 Blowers and fans Power transmission equipment 357 Office and computing machines Computing machines and cash registers 358 Service industry machines 3585 Refrigeration machinery 359 Misc. machinery, except electrical * l.O k26 kl.k 4 * * 4 * * * * *3«2 43*5 433 *2«9 * * * * * * ** * * * * * * * * * *2,3 * 4 4 i*3«o 4 **. 3 * * * * fcf * * *0 * * *30 * * * * 4 * ** * * * 4* * * * * * * * *0 *0.* * * * 4 ** * * * 4 * Xtl * * * o » tea Itl l.O l.O _*2 4_ 4_ 5 3*5 k 7 4_ 5_ ,2 4_ 3,6 3_ 5 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

66 ESTABLISHMENT DATA HOURS AND EARNINGS C2: Gross hours and earnings of production or nonsupervisory workers on private nonagricuitural payrolls, by industry Continued Industry Durable G00ds"Continued Average weekly earnings I l I Average hourly earnings ELECTRICAL EQUIPMENT AND SUPPLIES... Electric test & distributing equipment... Electric measuring instruments 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 equipment Communication equipment Telephone and telegraph apparatus Radio and TV communication equipment Electronic components and accessories.. Electron tubes Other electronic components Misc. electrical equipment & supplies.... Engine electrical equipment TRANSPORTATION EQUIPMENT Motor vehicles and equipment Motor vehicles.. Passenger car bodies Truck and bus bodies Motor vehicle parts and accessories. Truck trailers 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 & scientific instruments... Mechanical measuring & control devices. Mechanical measuring devices Automatic temperature controls Optical and ophthalmic goods Ophthalmic goods Medical instruments and supplies Photographic equipment and supplies... Watches, clocks, and watchcases MISC* MANUFACTURING INDUSTRIES Jewelry, silverware, and plated ware... Toys and sporting goods Games, toys, dolls & play vehicles... Sporting and athletic goods, nee... Pens, pencils, office and art supplies... Costume jewelry and notions Other manufacturing industries Musical instruments and parts Nondurable Goods FOOD AND KINDRED PRODUCTS Meat products Meat packing plants Sausages and other prepared meats. Poultry dressing plants $ ^3 65 (*: 556 i4o * $ *0 *0 0^ H $ IH * ^ OO $ D.O * $ IOO IO7O U * IO $ C) $8 3.H f I6 $ i:ff $ I ^ $ H ^ See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

67 ESTABLISHMENT DATA HOURS AND EARNINGS C2: Gross hours and earnings of production or nonsupervisory workers on private non ag ricultu ra! payrolls, by industry Continued sic Code Industry Durable Goods Continued Average weekly hours NOV. Average overtime hours , , , , , ELECTRICAL EQUIPMENT AND SUPPLIES. Electric test & distributing equipment.. Electric measuring instruments 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 equipment Communication equipment Telephone and telegraph apparatus... Radio and TV communication equipment Electronic components and accessories.. Electron tubes Other electronic components Misc. electrical equipment & supplies... Engine electrical equipment..." TRANSPORTATION EQUIPMENT Motor vehicles and equipment Motor vehicles Passenger car bodies Truck and bus bodies Motor vehicle parts and accessories... Truck trailers 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 & scientific instruments... Mechanical measuring & control devices. Mechanical measuring devices Automatic temperature controls Optical and ophthalmic goods Ophthalmic goods Medical instruments and supplies Photographic equipment and supplies... Watches, clocks, and watch cases _8 39 L l.O l.O I o.i o.o 4 4 feo 44^ l.O 40 4ld nor o 4o l 4o.i o.o _ ,8,9 393 MISC. MANUFACTURING INDUSTRIES Jewelry, silverware, and plated ware 4 Toys and sporting goods Games, toys, dolls, & play vehicles... Sporting and athletic goods, nee Pens, pencils, office and art supplies... Costume jewelry and notions Other manufacturing industries 40.0 Musical instruments and parts o.i 4l.o o.l o.o o.l Nondurable Goods FOOD AND KINDRED PRODUCTS. Meat products Meat packing plants Sausages and other prepared meats... Poultry dressing plants l.o o.o 4 4 ^ i.o See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

68 ESTABLISHMENT DATA HOURS AND EARNINGS C2: Gross hours and earnings of production or nonsupervisory workers on private nonagricultural payrolls, by industry Continued Nondurable Industry Goods Continued Average weekly earnings Average hourly earnings FOOD AND KINDRED PRODUCTSContinued Dairy products Ice cream and frozen desserts... Fluid milk Canned, cured, and frozen foods Canned, cured, and frozen sea foods Canned food, except sea foods Frozen fruits and vegetables Grain mill products Flour and other grain mill products Prepared feeds for animals and fowls... Bakery products Bread, cake, and related products... Cookies and crackers Sugar Confectionery and related products Confectionery products Beverages Malt liquors Bottled and canned soft drinks Misc. foods and kindred products TOBACCO MANUFACTURES Cigarettes Cigars... TEXTILE MILL PRODUCTS Weaving mills, cotton Weaving mills, synthetics Weaving and finishing mills, wool.. Narrow fabric mills Knitting mills Women's hosiery, except socks... Hosiery, nee Knit outerwear mills Knit underwear mills. Textile finishing, except wool Floor covering mills Yarn and thread mills Miscellaneous textile goods... APPAREL AND OTHER TEXTILE 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 Men's and boys' work clothing... Women's and misses' outerwear Women's and misses' blouses and waists. Women's and misses' dresses Women's and misses' suits and coats. Women's and misses' outerwear, n e e. Women's and children's undergarments.. Women's and children's underwear Corsets and allied garments Hats, caps, and millinery Children's outerwear Children's dresses and blouses Fur goods and miscellaneous apparel... Misc. fabricated textile products Housefurnishings PAPER AND ALLIED PRODUCTS Paper and pulp mills Paperboard mills Misc. converted paper products Bags, except textile bags Paperboard containers and boxes... Folding and setup paperboard boxes., Corrugated and solid fiber boxes..., Sanitary food containers $ ^ ^ H7.J3 29 $ ^65 82 U3.^3 2 IO ^ H IO ^ ^ !36 I36.OO II88 $ ^ ^ $ ^ ^3 9 IIO no , ^ $ ^ $ : *3 8 $ I $ J H $ H I I $ I I See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

69 C2: Gross hours and earnings of production or nonsupervisory workers on private nonagricuitural payrolls, by industry Continued ESTABLISHMENT DATA HOURS AND EARNINGS SIC Code Nondurable Industry GoodsContinued Average weekly hours Avera^ e overtime hours ,6 2032, , , ,2, , FOOD AND KINDRED PRODUCTSContinued Dairy products Ice cream and frozen desserts Fluid milk Canned, cured, and frozen foods Canned, cured and frozen sea foods. Canned food, except sea foods Frozen fruits and vegetables Grain mill products.. Flour and other rrain mill product.. Prepared feeds for animals and fowls Bakery products Bread, cake, and related products... Cookies and crackers Sugar Confectionery and related products... Confectionery products. Beverages Malt liquors Bottled and canned soft drinks Misc. foods and kindred products TOBACCO MANUFACTURES Cigarettes Cigars TEXTILE MILL PRODUCTS Weavinc mills cotton Weaving mills synthetics Weaving and finishing mills, wool... Narrow fabric mills Knitting mills... Women's hosiery, except socks Hosiery* nee Knit outerwear mills Knit underwear mills Textile finishing, except wool Floor covering mills Yam and thread mills Miscellaneous textile goods APPAREL AND OTHER TEXTILE PRODUCTS Men's and boys' suits and coats Men's and boys' furnishings Men's and boys' shirts and night wear Men's and boys' separate trousers... Men's and boys' work clothing Women's and misses' outerwear Women's and misses' blouses and waists Women's and misses' dresses Women's and misses' suits and coats Women's and misses' outerwear, nee Women's and children's undergarments. Women's and children's underwear... Corsets and allied garments Hats, caps, and millinery Children's outerwear Children's dresses and blouses Fur goods and miscellaneous apparel.. Misc. fabricated textile products Housefumishincs «PAPER AND ALLIED PRODUCTS Paperboard mills Misc. converted paper products Bags, except textile bags Paperboard containers and boxes Folding and setup paperboard boxes. Corrugated and solid fiber boxes... Sanitary food containers _ 39 4o.o I ^6 39I o.i 4o 39 ko o.O l.o l.o o 7 39* * * II _ _ _ _ 7 _ * _ 8 _ 3^8 _ 6 8 _ _ 6,6 5~ u7 _ See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

70 ESTABLISHMENT DATA HOURS AND EARNINGS C2: Gross hours and earnings of production or nonsupervisory workers on private nonagricuitural payrolls, by industry Continued sic Code Industry Nondurable Goods'Continued Average.weekly earnings NOV. Average hourly earnings NOV ,6,7, , ,2 286, , ,3, ,3,57, PRINTING AND PUBLISHING Newspapers. Periodicals Books Commercial printing Commercial printing, ex. lithographic Commercial printing, lithographic... Blankbooks and bookbinding Other publishing & printing ind CHEMICALS AND ALLIED PRODUCTS... Industrial chemicals Alkalies and chlorine Industrial organic chemicals, nee. Industrial inorganic chemicals, nee. Plastics materials and synthetics Plastics materials and resins Synthetic fibers Drugs Pharmaceutical preparations Soap, cleaners, and toilet goods Soap and other detergents Toilet preparations... Paints and allied products Agricultural chemicals Fertilizers, complete & mixing only. Other chemical products Explosives PETROLEUM AND COAL PRODUCTS Petroleum refining Other petroleum and coal products... RUBBER AND PLASTICS PRODUCTS, N E C Tires and inner tubes Other rubber products Rubber footwear Miscellaneous plastics products LEATHER AND LEATHER PRODUCTS Leather tanning and finishing Footwear, except rubber Other leather products Luggage Handbags and personal leather goods., TRANSPORTATION AND PUBLIC UTILITIES: $365 lih * I6 83.: 85.! 90 $ * $ I38O IH $ no Hl IO $ ^ $ $ $ ^ $ $ H RAILROAD TRANSPORTATION: Class I railroads LOCAL AND INTERURBAN PASSENGER TRANSIT: Local and suburban transportation Intercity highway transportation , TRUCKING AND WAREHOUSING Trucking and trucking terminals Public warehousing PIPE LINE TRANSPORTATION COMMUNICATION Telephone communication Switchboard operating employees^.. Line construction employees 4 Telegraph communication Radio and television broadcasting See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

71 C2: Gross hours and earnings of production or nonsupervisory workers on private nonagricultural payrolls, by industry Continued ESTABLISHMENT DATA HOURS AND EARNINGS SIC Code Industry Nondurable Goods Continued Average weekly hours NOV. Average overtime hours ,6,7, , ,2 286, , , 3, ,3,57, PRINTING AND PUBLISHING.. Newspapers... Periodicals... Books Commercial printing Commercial printing, ex. lithographic Commercial printing, lithographic... Blankbooks and bookbinding... Other publishing & printing ind CHEMICALS AND ALLIED PRODUCTS.. Industrial chemicals Alkalies and chlorine Industrial organic chemicals, nee... Industrial inorganic chemicals, nee. Plastics materials and synthetics Plastics materials and resins Synthetic fibers Drugs Pharmaceutical preparations Soap, cleaners, and toilet goods Soap and other detergents Toilet preparations Paints and allied products Agricultural chemicals Fertilizers, complete & mixing only.. Other chemical products Explosives... PETROLEUM AND COAL PRODUCTS Petroleum refining... Other petroleum and coal products RUBBER AND PLASTICS PRODUCTS, NEC. Tires and inner tubes Other rubber products Rubber footwear Miscellaneous plastics products LEATHER AND LEATHER PRODUCTS Leather tanning and finishing Footwear, except rubber Other leather products... Luggage Handbags and personal leather goods.. TRANSPORTATION AND PUBLIC UTILITIES: RAILROAD TRANSPORTATION: Class I railroads ' ** * * * * * * * * * * * 4 * * O I * o I l.l o.l * _ LOCAL AND INTERURBAN PASSENGER TRANSIT: Local and suburban transportation... Intercity highway transportation , TRUCKING AND WAREHOUSING... Trucking and trucking terminals Public warehousing PIPE LINE TRANSPORTATION COMMUNICATION Telephone communication Switchboard operating employees 3. Line construction employees 4 Telegraph communication' Radio and television broadcasting * See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

72 ESTABLISHMENT DATA HOURS AND EARNINGS C2: Gross hours and earnings of production or nonsupervisory workers on private nonagricultural payrolls, by industry Continued SIC Code Industry Average weekly earnings Average hourly earnings TRANSPORTATION AND PUBLIC UTILITIES.Continued ELECTRIC, GAS, AND SANITARY SERVICES Electric companies and systems Gas companies and systems Combination companies and systems... Water, steam, & sanitary systems $ $ $ $ $2 8 3^5 2 8 $ $ $ ,55, ,2 553, WHOLESALE AND RETAIL TRADE... WHOLESALE TRADE Motor vehicles & automotive equipmen Drugs, chemicals, and allied products Dry goods and apparel Groceries and related products Electrical goods Hardware; plumbing & heating equipment Machinery, equipment, and supplies... Miscellaneous wholesalers RETAIL TRADE. Retail general merchandise Department stores Mail order houses Variety stores Food "Stores Grocery, meat, and vegetable stores.. Apparel and accessory stores Men's & boys' clothing & furnishings. Women's readytowear stores Family clothing stores Shoe stores Furniture and home furnishings stores.. Furniture and home furnishings Eating and drinking places Other retail trade..., Building materials and farm equipment Motor vehicle dealers Other automotive & accessory dealers. Drug stores and proprietary stores... Book and stationery stores... Fuel and ice dealei FINANCE, INSURANCE, AND REAL ESTATE 7 Banking Credit agencies other than banks... Savings and loan associations Security, commodity brokers & services. Insurance carriers Life insurance <.. Accident and health insurance Fire, marine, and casualty insurance. SERVICES: Hotels and other lodging places: Hotels, tourist courts, and motels.. Personal Services: Laundries and dry cleaning plants... Photographic studios Motion pictures: Motion picture filming & distributing. $86, ^ ko , ^ V IOO ^ ^ ^ ^ H ^ ^ $ I I H V I $ NOTE: Data for the 2 most recent months are preliminary.

73 C2: Gross hours and earnings of production or nonsupervisory workers on private nonagricultural payrolls, by industry Continued ESTABLISHMENT DATA HOURS AND EARNINGS SIC Code Industry Sept ekly hours NOV. Average overtime hours TRANSPORTATION AND PUBLIC UTIUT\E$Continued ELECTRIC. GAS, AND SANITARY SERVICES Electric companies and systems... Gas companies and systems Combination companies and systems.. Water, steam & sanitary systems ,55, ,2 553, WHOLESALE AND RETAIL TRADE WHOLESALE TRADE Motor vehicles & automotive equipment. Drugs, chemicals, and allied products... Dry goods and apparel Groceries and related products Electrical goods Hardware; plumbing & heating equipment Machinery, equipment, and supplies... Miscellaneous wholesalers RETAIL TRADE Retail general merchandise Department stores Mail order houses Variety stores Food stores. Grocery, meat, and vegetable stores... Apparel and accessory stores Men's & boys' clothing & furnishings. Women's readytowear stores Family clothing stores Shoe stores Furniture and home furnishings stores.. Furniture and home furnishings Eating and drinking places 6 Other retail trade Building materials and farm equipment Motor vehicle dealers Other automotive & accessory dealers. Drug stores and proprietary stores... Book and stationery stores... Fuel, and ice dealers FINANCE, INSURANCE, AND REAL ESTATE? Banking Credit agencies other than banks Savings and loan associations... Security, commodity brokers & services. Insurance carriers Life insurance Accident and health insurance. Fire, marine, and casualty insurance.. SERVICES: Hotels and other lodging places: Hotels, tourist courts, and motels... Personal Services: Laundries & dry cleaning plants... Photographic studios Motion pictures: Motion picture filming & distributing ^ o ^ O O I 3ia O k.l For coverage of series, see footnote, table B2. Beginning January 965, data relate to railroads with operating revenues of $57OOO,OOO or more. Data relate to employees in such occupations in the telephone industry as switchboard operators; service assistants; operating room instructors; and paystation attendants. In 966, such employees made up 33 percent o.f the total number of nonsupervisory employees in establishments reporting hours and earnings data. ^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 966, such employees made up 33 percent of the total number of nonsupervisory employees in establishments reporting hours and earnings data. 5 Data relate to nonsupervisory employees except messengers. *Money payments only; tips, not included. 7 Data for nonoffice salesmen excluded from all series in this division. Not available. NOTE: Data for the 2 most recent months are preliminary.

74 ESTABLISHMENT DATA HOURS AND EARNINGS Item Total employment Average weekly hours Average overtime hours... Indexes (965=00): Average weekly earnings.. Average hourly earnings... Total employment Average weekly hours Average overtime hours... Indexes (965=00): Average weekly earnings.. Average hourly earnings... Total employment Average weekly hours Average.overtime hours... Indexes (965=00): Average weekly earnings... Average hourly earnings... Total employment Average weekly hours Average overtime hours... Indexes (965=00): Average weekly earnings... Average hourly earnings... C3: Employment, hours, and indexes of earnings in the Executive Branch of the Federal Government (Employment in thousands includes both supervisory and nonsupervisory employees) Aug. JxCLy June May Apr. Feb. Jan. 2, , , L, o9 39 H 7 2, , IO , , , , l.l , EXECUTIVE BRANCH 2, , DEPARTMENT OF DEFENSE, , , POST OFFICE DEPARTMENT n4.i OTHER AGENCIES 865.I IO , ,09 4o.o Dec. 2,78 40, U , ,03,9 40 l.l H , , , , IO8 NOTE: Averages presented in this table have been computed using data collected by the U.S. Civil Service Commission from all agencies of the e the data cover.both salaried workers and hourly paid wageboard employees. Since these averages relate to hours and earnings of all workers, both supei comparable to similar data presented in table C2 which relate only to production or nonsupervisory workers. inch of the Federal Governmer lonsupervisory, they are not C4. Average hourly earnings excluding overtime of production workers on manufacturing payrolls, by industry MANUFACTURING. DURABLE GOODS. Major industry group Ordnance and accessories Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products.... Machinery, except electrical. Electrical equipment and supplies Transportation equipment Instruments and related products Miscellaneous manufacturing industries. $4 3«2 NONDURABLE GOODS. 9 Food and kindred products. Tobacco manufactures Textile mill products Apparel and other textile products Paper and allied products Printing and publishing. Chemicals and allied products Petroleum and coal products Rubber and plastics products, nee Leather and leather products ^Derived by assuming that overtime hours are paid at the rate of time and onehalf. 2 Not available as average overtime rates are significantly above time and onehalf. Inclusion of dai NOTE: Data for the 2 most recent months are preliminary. $2 9 3ol (2) Average hourly earnings excluding overtime $ , (2) $ (2) for the group in the nondurable goods total has little effect. $ (2)

75 TOTAL PRIVATE: Current dollars dollars. MINING: Current dollars dollars... CONTRACT CONSTRUCTION: Current dollars dollars MANUFACTURING: Current dollars dollars ESTABLISHMENT DATA HOURS AND EARNINGS C5: Gross and spendable average weekly earnings of production or nonsupervisory workers Industry WHOLESALE AND RETAIL TRADE: Current dollars dollars FINANCE, INSURANCE, AND REAL ESTATE: Current dollars dollars ' on private nonagricultural payrolls, in current and dollars Gross average weekly earnings $ For coverage of series, see footnote, table B2. NOTE: Beginning April, data reflect the income tax surcharge imposed by the Re' Data for the current month are preliminary. T O T A L MINING... $ * Worker with no dependents ULO.O $ and Expenditure Control Act of. Spendable average weekly earnings $ Worker with three dependents $ $ I C6: Indexes of aggregate weekly manhours and payrolls in industrial and construction activities Industry CONTRACT CONSTRUCTION MANUFACTURING Q = Manhours H $ DURABLE GOODS Ordnance and accessories Lumber and wood products. Furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Machinery, except electrical Electrical equipment and supplies Transportation equipment Instruments and related products Miscellaneous manufacturing industries NONDURABLE GOODS I I H io4.o Food and kindred products Tobacco manufactures Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products Petroleum and coal products Rubber and plastics products, nee Leather and leather products H8 2 H I IO Payrolls H ^ 9 MINING CONTRACT CONSTRUCTION MANUFACTURING NOTK: Data for the 2 mosi s prelin

76 ESTABLISHMENT DATA SEASONALLY ADJUSTED HOURS C7: Average weekly hours of production or nonsupervisory workers* on private nonagricultural payrolls, seasonally adjusted Industry Aug. July June May Apr* Mar. Feb. Jan. Dec. TOTAL PRIVATE 37.^ MINING.. to CONTRACT CONSTRUCTION o MANUFACTURING Overtime hours. DURABLE GOODS. Overtime hours. Ordnance and accessories. 40 to to.i to to. 5 4 * to to * * 4 4 Lumber and wood products... * to.i * * *0. Furniture and fixtures *0 +0 * o.O * Stone, clay, and glass products Primary metal industries Fabricated metal products, to.o + to. 3 + to to to to 4 4 Machinery, except electrical Electrical equipment and supplies * *0. +0 Transportation equipment Instruments and related products * * Miscellaneous manufacturing industries 39.* * NONDURABLE GOODS. Overtime hours * ** Food and kindred products *0 40 4l.l *0 * Tobacco manufactures Textile mill products Apparel and other textile products.., to.i 38 to 3 38 to.i to *0, Paper and allied products * Printing ar.d publishing Chemicals and allied products Petroleum and coal products O Rubber and plastics products,n e c Leather and leather products WHOLESALE AND RETAIL TRADE. WHOLESALE TRADE *0, o.i o.o RETAIL TRADE 3*.* 3+ 3^ 3^ 3^ 3t 3^ 3^ 3M 3^ 3 FINANCE, INSURANCE, AND REAL ESTATE For coverage of series, see footnote, table B2. NOTE: Data for the 2 most recent months are preliminary.

77 ESTABLISHMENT DATA SEASONALLY ADJUSTED C8: Indexes of aggregate weekly manhours in industrial and construction activities seasonally adjusted Industry July June May Apr. Feb. Jan. Dec. TOTAL... 6 H 5 MINING I CONTRACT CONSTRUCTION H U 8 0 MANUFACTURING H U7.0 DURABLE GOODS Ordnance and accessories... Lumber and wood products... Furniture and fixtures. Stone, clay, and glass products Primary metal industries Fabricated metal products Machinery, except electrical Electrical equipment and supplies Transportation equipment Instruments and related products. Miscellaneous manufacturing industries ! H HO 27.0 j 2 3 I I 4 I 2 I IO H I NONDURABLE GOODS I Food and kindred products Tobacco manufactures Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products Petroleum and coal products Rubber and plastics products, n e e..., Leather and leather products H7 H ! I H ' IO 8.0 U IO6 H8 H6 2 8I '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.

78 ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS C9; Gross hours and earnings of production workers on manufacturing payrolls, by State and selected areas State and area Average weekly earnings e weekly hours Average hourly earnings ALABAMA.. Birmingham Mobile $ $ $ S7 9 $8 $2 2 2 ALASKA. <*) ARIZONA. Phoenix. Tucson ARKANSAS... Fort Smith Little RockNorth Little Rock Pine Bluff CALIFORNIA AnaheimSanta AnaGarden Grove Bakersfield.,...; Fresno Los AngelesLong Beach OxnardVentura... Sacramento San BernardinoRiversideOntario San Diego San FranciscoOakland San Jose... Santa Barbara. Santa Rosa Stockton VallejoNapa o COLORADO, Denver CONNECTICUT. Bridgeport... Hartford New Britain.. New Haven... Stamford.... Waterbury DELAWARE Wilmington DISTRICT OF COLUMBIA : Washington SMSA 34 2 <*) FLORIDA Fort LauderdaleHollywood Jacksonville. Miami Orlando... Pensacola TampaSt. Petersburg.... West Palm Beach GEORGIA Atlanta. Savannah ILLINOIS Chicago DavenportRock IslandMoline <*) <*) See footnotes at end of table. NOTE: Data for the current nonth are preliminary.

79 C9: ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS Gross hours and earnings of production workers on manufacturing payrolls, by State and selected areas Continued ILLINOIS (continued) Peoria Rockford State and area age weakly earnings $40 29 o47 Aver i *" e weekly hours <*) 4 4 Average hourly earning <*) $2 4 INDIANA Indianapolis.. $386 $ $5 $ IOWA Cedar Rapids. Des Moines.. Dubuque.... Sioux City... Waterloo o KANSAS. Topeka. Wichita KENTUCKY. Louisville LOUISIANA.., Baton Rouge, New Orleans, Shreveport.., MAINE LewistonAuburn Portland, o MARYLAND Baltimore , MASSACHUSETTS. Boston, Brockton Fall River LawrenceHaverhill Lowell. New Bedford SpringfieldChicopeeHoly.oke Worcester MICHIGAN Ann Arbor Battle Creek Bay City Detroit Flint Grand Rapids Jackson Kalamazoo Lansing, MuskegonMuskegon Heights. Saginaw. <*) <*) MINNESOTA DuluthSuperior.... MinneapolisSt. Paul MISSISSIPPI Jackson O MISSOURI... Kansas City. St. Louis NEBRASKA. 20 Omaha 27^5 See footnotes at end of table. NOTE: Data for the current aonth are preliminary O 68 6

80 ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS C9: Gross hours and earnings of production workers on manufacturing payrolls, by State and selected areas Continued State and area Average weekly earnings Avera e weekly hours Average hourly earnings $53 $ $8 $7 NEW HAMPSHIRE 2 [anchesi $ & $ NEW JERSEY.. Atlantic City. Jersey City 3 Newark d... PatersonCliftonPassaic d Perth Amboy Trenton o NEW MEXICO Albuquerque NEW YORK AlbanySchenectadyTroy Binghamton Buffalo Elmira Monroe County».... Nassau and Suffolk Counties New YorkNortheastern New Jersey New York SMSA 3 Rochester Rockland County Syracuse UticaRome.... Westchester County 24,,93 33,,90 26, 84 47,,97 4,,80 50, 23 26,,28 23,,9 9, 47 7,,56 43, 90 30,,90 35, 56 9, 48 28, O O NORTH CAROLINA Asheville. Charlotte,.... Greensboro WinstonSalem High Point. Raleigh NORTH DAKOTA. FargoMoorhead, OHIO Akron Canton Cincinnati Cleveland Columbus Dayton Toledo YoungstownWarren, o ol » OKLAHOMA.... Oklahoma City. Tulsa OREGON.. Eugene.. Portland PENNSYLVANIA AllentownBethlehemEaston. Altoona Erie Harrisburg. Johnstown Lancaster Philadelphia Pittsburgh Reading Scranton WilkesBarre Hazleton.... York See footnotes at end of table. NOTE: Data for the current aonth are preliminary o o , O

81 C9: ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS Gross hours and earnings of production workers on manufacturing payrolls, by State and selected areas Continued State and area Aver a e weekly nours Averag«i hourly e uralnfla Q67 RHODE ISLAND ProvidencePawtucketWarwick. $03,3 05 $0 00 $ $7 9 $5 8 $2 4 SOUTH CAROLINA. Charleston Greenville O O SOUTH DAKOTA. Sioux Falls..., TENNESSEE. Chattanooga Knoxville.. Memphis.. Nashville O TEXAS Amarillo Austin BeaumontPort ArthurOrange. Corpus Christi Dallas. El Paso Fort Worth GalvestonTexas City Houston Lubbock San Antonio Waco, Wichita Falls, o o O O4 6 7 UTAH Salt Lake City *00 4 VERMONT. Burlington. Springfield VIRGINIA. Lynchburg NorfolkPortsmouth. Richmond Roanoke o , WASHINGTON.. SeattleEverett Spokane... Tacoma WEST VIRGINIA. Charleston HuntingtonAshland. Wheeling O7 5 WISCONSIN. Green Bay. Kenosha., La Crosse. Madison.. Milwaukee. Racine O o O WYOMING 4 Casper Initial inclusion in this publication R i d i i l *Not available. NOTE: Data for the current month are preliminary. SOURCE: Cooperating State agencies listed on inside back cover.

82 ESTABLISHMENT DATA LABOR TURNOVER DIt Labor turnover rat«s in manufacturing 958 to date (Per 00 employees) Year Apr. May June J»iy Aug. NOT. Annual average Total accessions k.o k.l k k 35 3.* 35 3^6 k.l k.o 35 k.o 39 k.l 3.* k.o k.o k 39 k k.l k k k.l k k.k 39 k.k k k.k » Total separations 4 3 :o lf li 53 li 6 55 ^ 5 35 Quits 9 *5 35 Layoffs Beginning with January 959, 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 959. This inclusion has not significantly affected the labor turnover series. Data for the current month are preliminary.

83 ESTABLISHMENT DATA LABOR TURNOVER D2: Labor turnover rates, by industry SIC Code Industry (Per 00 employees) Sept, Q68 Separatioi Quits Layoffs MANUFACTURING 5 6 2o8 9,24,25,3239 DURABLE GOODS. 2023,263 NONDURABLE GOODS Durable Goods , ORDNANCE AND ACCESSORIES Ammunition, except for small arms LUMBER AND WOOD PRODUCTS Sawmills and planing mills Sawmills and planing mills, general Millwork, plywood & related products. Millwork Veneer and plywood Wooden containers Wooden boxes, shook, and crates.. Miscellaneous wood products FURNITURE AND FIXTURES Household furniture Wood household furniture Upholstered household furniture. Mattresses and bedsprings.... Office furniture , ^ STONE, CLAY, AND GLASS PRODUCTS Flat glass... Glass and glassware, pressed or blown.. Glass containers... Pressed and blown glass, nee Cement, hydraulic Structural clay products Brick and structural clay tile Pottery and related products Abrasive products , , PRIMARY METAL INDUSTRIES Blast furnace and basic steel products... Blast furnaces and steel mills Iron and steel foundries Gray iron foundries Malleable iron foundries Steel foundries Nonferrous metals. Nonferrous rolling and drawing Copper rolling and drawing Aluminum rolling and drawing Nonferrous wire drawing, and insulating. Nonferrous foundries Aluminum castings Other nonferrous castings Miscellaneous primary metal products.... Iron and steel forgings 5 34?:i bio !4. l.o *6 See footnotes at end of table. NOTE: Data for the current month are preliminary.

84 ESTABLISHMENT DATA LABOR TURNOVER D2 : Labor turnover rates, by industry Continued SIC Code Industry (Per 00 employees) Accession rates New hires Separation rates Quits Layoffs Durable Goods Continued ,3, , , , , , , , , FABRICATED METAL PRODUCTS Metal cans Cutlery, hand tools, and hardware Cutlery and hand tools, incl. saws Hardware, nee Plumbing and heating, except electric Sanitary ware & plumbers' brass goods Heating equipment, except electric... Fabricated structural metal products Fabricated structural steel Fabricated plate work (boiler shops) Architectural and misc. metal work Screw machine products, bolts, etc Bolts, nuts, rivets, and washers Metal stampings Misc. fabricated wire products Misc. fabricated metal products Valves, pipe, and pipe fittings. MACHINERY, EXCEPT ELECTRICAL, Engines and turbines Steam engines and turbines Internal combustion engines, nee Farm machinery Construction and related machinery Construction and mining machinery Oil field machinery Conveyors, hoists, cranes, monorails Metal working machinery Machine tools, metal cutting types Machine tool accessories Misc. metal working machinery Special industry machinery Food products machinery Textile machinery General industrial machinery Pumps and compressors Ball and roller bearings. Power transmission equipment Office and computing machines Computing machines and cash registers Service industry machines Refrigeration machinery ELECTRICAL EQUIPMENT AND SUPPLIES Electric test & distributing equipment Electric measuring instruments 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 equipment Communication equipment. Telephone and telegraph apparatus Radio and TV communication equipment Electronic components and accessories Electron tubes Other electronic components Misc. electrical equipment & supplies Engine electrical equipment : ol : * li 5 6 tl * * 2»8 7 3.* : * 34 CD 35 0 " l.o! *8 (il 5 See footnotes at end of table. NOTE: Data for the current month are preliminary.

85 ESTABLISHMENT DATA LABOR TURNOVER D2: Labor turnover rates, by industry Continued SIC Code (Per 00 employees) Accession rates Industry Sept, Q Q Separation rates Quits 068 Layoffs Durable Goods Continued , ,9 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 Railroad equipment Other transportation equipment ) ( ( a \\ ) , INSTRUMENTS AND RELATED PRODUCTS Engineering & scientific instruments Mechanical measuring & control.devices.... Mechanical measuring devices Automatic temperature controls Optical and Ophthalmic goods Medical instruments and supplies Photographic equipment and supplies Watches, clocks, and watchcases %l 5 4,6 6 Ih (2) ,8,9 MISCELLANEOUS MANUFACTURING INDUSTRIES Jewelry, silverware, and plated ware Toys and sporting goods Games, toys, dolls, & play vehicles Sporting and athletic goods, nee Pens, pencils, office and art supplies Costume jewelry and notions Other manufacturing industries ' Nondurable Goods FOOD AND KINDRED PRODUCTS Meat products Meat packing plants Poultry dressing plants Grain mill products Flour and other grain mill products. Prepared eeds for animals and fowls Bakery products Bread, cake, and related products.. Cookies and crackers Confectionery and related products... Confectionery products Beverages Malt liquors *5 3*2 7 5 H 5 9 5* * l' k TOBACCO MANUFACTURES Cigarettes Cigars (2). See footnotes at end of table. NOTE: Data for the current month are preliminary.

86 ESTABLISHMENT DATA LABOR TURNOVER D2: Labor turnover rates, by industrycontinued SIC Code Nondurable Goods Continued (Per 00 employees) Accession rates Sept, Separation rates Total Quits Sept, Layoffs TEXTILE MILL PRODUCTS Weaving mills, cotton. Weaving mills, synthetics Weaving and finishing mills, wool Narrow fabric mills Knitting mills Women's hosiery, except socks Hosiery, nee Knit underwear mills Textile finishing, except wool Floor covering mills Yarn and thread mills Miscellaneous textile goods APPAREL AND OTHER TEXTILE 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 Men's and boys' work clothing Women's and children's undergarments Women's and children's underwear Corsets and allied garments k.o 26 26,2, , PAPER AND ALLIED PRODUCTS Paper and pulp mills Paperboard mills Misc. converted paper products.. Bags, except textile bags Paperboard containers and boxes Folding and setup paperboard boxes Corrugated and solid fiber boxes i.k I. PRINTING AND PUBLISHING k.q , ,9 CHEMICALS AND ALLIED PRODUCTS Industrial chemicals Plastics materials and synthetics Plastics materials and resins Synthetic fibers Drugs Pharmaceutical preparations^ Soap, cleaners, and toilet goods Soap and other detergents Toilet preparations Paints and allied products Other chemical products k \\l 9 7 & ,9 PETROLEUM AND COAL PRODUCTS Petroleum refining Other petroleum and coal products ,3,6 307 RUBBER AND PLASTICS PRODUCTS, N E C. Tires and inner tubes Other rubber products Miscellaneous plastics products See footnotes at end of table. NOTE: Data for the current month are preliminary.

87 ESTABLISHMENT DATA LABOR TURNOVER D2: Labor turnover rates, by industrycontinued SIC Code (Per 00 employees) Accession rates To al New hires Q68 ^68' Tot 068 al ls # Separation rates Quit Q68 969* Layoffs 068 Nondurable GoodsContinued LEATHER AND LEATHER PRODUCTS Leather tanning and finishing Footwear, except rubber * 0 NONMANUFACTURING , METAL MINING Iron ores COAL MINING Bituminous coal and lignite mining..... COMMUNICATION: Telegraph communication 3 Mbt available. 2 Le SS than' Data relate to all employees except messengers. NOTE: Data for the current month are preliminary. ai ai 7 ONON ai 3*7 3 8

88 ESTABLISHMENT DATA 90 SEASONALLY ADJUSTED LABOR TURNOVER D4: Labor turnover rates in manufacturing, 958 to date seasonally adjusted (Per 00 employees) Year Jan. Apr. May June July Aug I , ,.. 4.O )i C 3^8 k.i k.k }. Total accessions k 39?' 9 k tz 958^ i , k New hires 33 Total separations x i960., k.o S.I k.q k.o k.k i960., , , l.k 2.k 2.k 9 Quits l.k 2.k 2.k l.k 2.k "I950T; i960., l.k l.k Layoffs ' : l.k ^Beginning with January 959, 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 959. This inclusion has not significantly affected the labor turnover series. Data for the current month are preliminary.

89 ESTABLISHMENT DATA STATE AND AREA LABOR TURNOVER D5: Labor turnover rates in manufacturing for selected States and areas ALABAMA: Birmingham. Mobile i<» State and area (Per 00 employees) Accession rates New hires Aug. Aug. 7. Aug Separation rates Aug. Layoffs Aug. ALASKA ARIZONA. Phoenix. ARKANSAS Fort Smith Little RockNorth Little Rock. Pine Bluff ' CALIFORNIA Los AngelesLong Beach COLORADO Denver... <*) 5 <*) <*) <*) CONNECTICUT. Hartford. DELAWARE Wilmington O4 DISTRICT OF COLUMBIA: Washington SMSA FLORIDA Fort LauderdaleHollywood. Jacksonville Miami Orlando Pensacola TampaSt. Petersburg... West Palm Beach o GEORGIA. Atlanta IDAHO * ILLINOIS: Chicago. 6 5 INDIANA Indianapolis IOWA Cedar Rapids. Des Moines KANSAS. Topeka. Wichita. KENTUCKY. Louisville LOUISIANA: New Orleans MAINE... Portland MARYLAND Baltimore. See footnotes at end of table. NOTE: Data for the current month are preliminary. 7.

90 ESTABLISHMENT DATA STATE AND AREA LABOR TURNOVER D5: Labor turnover rates in manufacturing for selected States and areas Continued MASSACHUSETTS.. Boston State and area Aug. (Per 00 employees) Aug. 5 Aug. 5 Separation rates Aug. 0 Layoffs Aug. MICHIGAN Detroit.. <*) MINNESOTA DuluthSuperior.... MinneapolisSt. Paul. 7 5O7 5 MISSISSIPPI: Jackson MISSOURI... Kansas City St. Louis.. 5 5,8 5 MONTANA H NEBRASKA NEVADA NEW HAMPSHIRE. 5 NEW JERSEY: Jersey City Newark PatersonCliftonPassaic. Perth Amboy Trenton O5 3ol NEW YORK AlbanySchenectadyTroy Binghamton Buffalo Elmira Monroe County Nassau and Suffolk Counties 8 New York SMSA New York City 8 Rochester.... Syracuse UticaRome Westchester County^ 6 7o4 4, O3.. NORTH CAROLINA Charlotte GreensboroWinstonSalemHrfigh Point (9). NORTH DAKOTA. FargoMoorhead. 6 4, OHIO Akron Canton Cincinnati Cleveland Columbus... Dayton Toledo. YoungstownWarren ,3 0. OKLAHOMA: Oklahoma City. Tulsa , OREGON Portland See footnotes at end of table. NOTE: Data for the current month are preliminary.

91 ESTABLISHMENT DATA STATE AND AREA LABOR TURNOVER D5: Labor turnover rates in manufacturing for selected States and areas Continued State and area PENNSYLVANIA: AllentownBethlehemEaston. Altoona Erie Harrisburg Johnstown Lancaster Philadelphia Pittsburgh Reading Scranton WilkesBarreHazleton York 9. (Per 00 employees) Accession rates New hires Aug. Aug Aug. 8 6 Separation rates Aug. 6 Layoffs Aug. 5 RHODE ISLAND... ProvidencePawtucketWarw SOUTH CAROLINA: Greenville SOUTH DAKOTA Sioux Falls , TENNESSEE: Memphis TEXAS.. Dallas. Fort Worth Houston San Antonio UTAH n Salt Lake City 4 <*) (.*) 6 VERMONT. Burlington.. Springfield. VIRGINIA.. Richmond, 5 5,9 5o6 WASHINGTON: ^ SeattleEverett WEST VIRGINIA: Charleston WISCONSIN... Milwaukee WYOMING Excludes canning and preserving. Excludes agricultural chemicals and miscellaneous manufacturing. ^Excludes canned fruits, vegetables, preserves, jams and jellies. Excludes canning and preserving, and sugar. ^Excludes canning and preserving, and newspapers. Excludes printing and publishing. 7 Subarea of Rochester Standard Metropolitan Statistical Area. gsubarea of New York Standard Metropolitan Statistical Area. Less than Excludes newhire rate for transportation equipment. Excludes canning and preserving, printing and publishing. *Not available. NOTE: Data for the current month are preliminary. SOURCE: Cooperating State agencies listed on inside back cover.

92 UNEMPLOYMENT INSURANCE DATA E: Insured unemployment under State programs (Week including the 2th of the month) Number (in thousands) Change to from Rate (percent of average covered employment) TOTAL 8. SEASONALLY ADJUSTED. 90 9, u U b 0 A 8 a.<c 2 2 Alabama. Alaska*.. 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.. Puerto Rico f?. Rhode Island. South Carolina South Dakota. Tennessee... Texas Utah Vermont Virginia. Washington... West Virginia, Wisconsin.., Wyoming..., 3^ f.l B B " o i Z'A 3 A 2 o Based on unrounded data; changes of less than 50 not shown. 'include data under the program for Puerto Rico's sugarcane workers. Rates exclude the sugarcane workers as comparable covered employment data are not yet available. *Excludes insured unemployment under extended duration provisions of regular State laws ' 7 IB 2, q " l.a 2 /3 ', c, 6 2 IB 7.0 '

93 UNEMPLOYMENT INSURANCE DATA E2: Insured unemployment in 50 major labor areas 2 (In thousands, for week including the 2th of the month) State and area State and area State and area ALABAMA Birmingham... ARIZONA Phoenix... ARKANSAS Little Rock. CALIFORNIA AnaheimS. Ana Garden Grove. Fresno Los Angeles Sacramento San Bernardino.. San Diego San Francisco.. San Jose Stockton COLORADO Denver CONNECTICUT Bridgeport Hartford New Britain New Haven, Stamford Waterbury DELAWARE Wilmington DIST. OF COL. Washington FLORIDA Jacksonville... Miami Tampa ' INDIANA Evansville Ft. Wayne GaryHammond.. Indianapolis South Bend Terre Haute IOWA Cedar Rapids. Des Moines KANSAS Wichita KENTUCKY Louisville... LOUISIANA Baton Rouge.. New Orleans. Shreveport... MAINE Portland. MARYLAND Baltimore MASSACHUSETTS Boston Brockton Fall River Lawrence Lowell New Bedford... Springfield Worcester MICHIGAN Battle Creek, Detroit Flint... Grand Rapids Kalamazoo... Lansing Muskegon Saginaw 3,6 9 5, " MEW HAMPSHIRE Manchester. NEW JERSEY Atlantic City... Jersey City... Newark New Brunswick. Paterson Trenton NEW MEXICO Albuquerque NEW YORK Albany, Binghamton.., Buffalo New York, Rochester... Syracuse, Utica, NORTH CAROLINA Asheville Charlotte Durham Greensboro WinstonSalem. OHIO Akron Canton Cincinnati... Cleveland Columbus Dayton Hamilton... Lorain Steubenville... Toledo Youngstown... OKLAHOMA Oklahoma City. Tulsa Bi 7 Pennsylvaniacontinued York PUERTO RICO Mayaguez Ponce San Juan... RHODE ISLAND Providence SOUTH CAROLINA Charleston Greenville TENNESSEE Chattanooga... Knoxville Memphis Nashville TEXAS Austin Beaumont Corpus Christi Dallas El Paso Ft. Worth Houston San Antonio... UTAH Salt Lake City VIRGINIA Hampton Norfolk. Richmond Roanoke GEORGIA Atlanta Augusta Columbus Macon Savannah HAWAII Honolulu ILLINOIS Chicago Davenport Peoria Rockford 2 ' MINNESOTA Duluth Minneapolis. MISSISSIPPI Jackson MISSOURI Kansas City St. Louis NEBRASKA Omaha 0 OREGON Portland. PENNSYLVANIA Allentown Altoona. Erie Harris burg. Johnstown... Lancaster Philadelphia... Pittsburgh Reading Scranton WilkesBarre... 2 ' WASHINGTON Seattle Spokane.., Tacoma, WEST VIRGINIA Charleston Huntington Wheeling WISCONSIN Kenosha Madison Milwaukee Racine insured jobless under State, Federal Employee, and ExServicemen's unemployment insurance programs. 2 Por full name of labor area, see Area Trends in Employment and Unemployment published by the Bureau of Employment Security. Excludes insured unemployed under extended duration provisions of regular State laws.

94 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. INTRODUCTION The statistics in this periodical are compiled from three major sources: household interviews, (2) payroll reports from employers, and (3) administrative statistics of unemployment insurance systems,, Data based on household interviews are obtained from a sample survey of the population 6 years of age and over. The survey is conducted each month by the Bureau of the Census for the Bureau of Labor Statistics and provides comprehensive data on the labor force, the employed and the unemployed, including such characteristics as age, sex, color, marital status, occupations, hours of work, and duration of unemployment. The survey also provides data on the characteristics and past work experience of those not in the labor force. The information is collected by trained interviewers from a sample of about 50,000 households, representing 449 areas in 863 counties and independent cities, with coverage in 50 States and the District of Columbia. The data collected are based on the activity or status reported for the calendar week including the 2th 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 nonagriculture wage and salary workers. The data relate to all workers, full or parttime, who received pay during the payroll period which includes the 2th of the month. Data based on administrative records of unemployment insurance systems furnish a complete count of insured unemployment among the twothirds of the Nation's labor force covered by unemployment insurance programs. Weekly reports, by State, are issued on the number of initial claims, the volume and rate of insured unemployment under State unemployment insurance programs, and the volume under programs of unemployment compensation for Federal employees, exservicemen, and railroad workers. These statistics are published by the Bureau of Employment Security, U.S. Department of Labor, in "Unemployment Insurance Claims." 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 major factors which have a differential effect on levels and trends of the two series are 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 5 hours or more during the survey week in familyoperated enterprises. Employment in both agricultural and nonagricultural industries is included. The payroll survey covers only wage and salary employees on the payrolls of nonagricultural 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 weekthat is, were not working but had jobs from which they were temporarily absent because of illness, bad weather, vacation, labormanagement dispute, or because they were taking time off for various other reasons, even if they were not paid By their employers for the time off. In 97

95 the figures based on payroll reports, persons on leave paid for by the company 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 not have a job 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 employment, 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 6 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 insurance programs. Not all nonagricultural 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 3 States. In general, these are establishments with less than four employees. Labor Force Data COLLECTION AND COVERAGE Statistics on the employment status of the population, the personal, occupational, and other characteristics of the employed, the unemployed, and persons not in the labor force, and related 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 Manpower Statistics from the Current Population Survey" (BLS Report 33). 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 6 years and over. Respondents are interviewed to obtain information about the employment status of each member of the household 6 years of age and over. The inquiry relates to activity or status during the calendar week, 98

96 Sunday through Saturday, which includes the 2th of the month. This is known as the survey week. Actual field interviewing is conducted in the following week. Inmates of institutions and persons under 6 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; of Defense. Each month, 50,000 occupied units are designated for interview. About 2,250 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 percent. In addition to the 50,000 occupied units, there are 8,500 sample units in an average month which are visited but found to be vacant or otherwise not to be enumerated. Part of the sample is changed each month. The rotation plan provides for threefourths of the sample to be common from one month to the next, and onehalf to be common with the same month a year ago. CONCEPTS Employed persons comprise (a) all those who during the survey week did any work at all as paid employees, in their own business, profession, or farm, or who worked 5 hours or more as unpaid workers in an enterprise operated by a member of the family, and (b) all those who were not working but who had jobs or businesses from which they were temporarily absent because of illness, bad weather, vacation, labormanagement dispute, or personal reasons, whether or not they were paid by their employers for the time off, and whether or not they were seeking other jobs. 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. 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 during the survey week, who made specific.efforts to find a job within the past 4 weeks, and who were available for work during the survey week (except for temporary illness). Also included as unemployed are those who did not work at all, were available for work, 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. 99 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. For persons on layoff, duration of unemployment represents the number of full weeks since the termination of their most recent employment. A period of 2 weeks or more during which a person was employed or ceased looking for work is considered to break the continuity of the present period of seeking work. Average duration is an arithmetic mean computed from a distribution by single weeks of unemployment. Unemployed persons by reasons for unemployment are divided into four major groups. Job losers are persons whose employment ended involuntarily who immediately began looking for work and persons on layoff. (2) Job leavers are persons who quit or otherwise terminated their employment voluntarily and immediately began looking for work. (3) Reentrants are persons who previously worked at a fulltime job lasting 2 weeks or longer but who were out of the labor force prior to beginning to look for work. (4) New entrants are persons who never worked at a fulltime job lasting 2 weeks or longer. 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" also includes members of the Armed Forces stationed either in the United States or abroad. The unemployment rate represents the number unemployed as a percent of the civilian labor force. This measure can also be computed for groups within the labor force classified by sex, age, marital status, color, etc. The jobloser, jobleaver, reentrant, and new entrant rates are each calculated as a percent of the civilian labor force; the sum of the rates for the four groups thus equals the total unemployment rate. Not in labor force includes all civilians 6 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 longterm 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 5 hours) are also classified as not in the labor force. For persons not in the labor force, data on previous work experience, intentions to seek work again, desire for a job at the time of interview, and reasons for not looking for work are compiled on a quarterly basis. The detailed questions for persons not in the labor force are asked only in those households that are new entrants to the sample and in those that are reentering the sample after 8 months absence. Occupation, industry, and class of worker for the employed apply to the job held in the survey week. Per

97 sons with two or more jobs are classified in the job at which they worked the greatest number of hours during the survey week. The unemployed are classified according to their latest fulltime civilian job lasting 2 weeks or more. The occupation and industry groups used in data derived from the CPS household interviews are defined as in the 960 Census of Population. Information on the detailed categories included in these groups is available upon request. The classofworker breakdown specifies "wage and salary workers," subdivided into private and government workers, "selfemployed 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. Selfemployed 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 5 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. 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 and 34 hours are designated as working "part time." Parttime 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 fulltime work, and fulltime worker only during peak season. Persons on fulltime schedules include, in addition to those working 35 hours or more, those who worked from 34 hours for noneconomic reasons but usually work full time. Fulland parttime labor force. The fulltime labor force consists of persons working on fulltime schedules, persons involuntarily working part time (because fulltime work is not available), and unemployed persons seeking fulltime jobs. The parttime labor force consists of persons working part time voluntarily and unemployed persons seeking parttime work. Persons with a job but not at work during the survey week are classified according to whether they usually work full or part time. Labor force time lost is a measure of manhours lost to the economy through unemployment and involuntary parttime employment and is expressed as a percent of potentially available manhours. It is computed by assuming: ' that unemployed persons looking for fulltime work lost an average of 37 hours, (2) that those looking for parttime work lost the average number of hours actually worked by voluntary parttime workers during the survey week, and (3) that persons on part time for economic reasons lost the difference between 37 hours and the actual number of hours they worked. ESTIMATING METHODS 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.. Noninterview 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 nonf arm, and rural farm). The proportion of sample households not interviewed varies from 4 to 6 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. Firststage ratio estimate. This is a procedure in which the sample proportions are weighted by the known 960 Census data on the colorresidence distribution of the population. This step takes into account the differences existing at the time of the 960 Census between the colorresidence distribution for the Nation and for the sample areas. b. Secondstage 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 (960) to take account of subsequent aging of the population, mortality, and migra 00

98 tion 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 of monthtomonth changes especially and of the levels for most items also. Table A. Average standard error of major employment status categories Employment status and sex (In thousands) Average standard error of Monthly level Monthtomonth change (consecutive months only) Rounding of Estimates The sums of individual items may not always equal the totals shown in the same tables because of independent rounding of totals and components to the nearest thousand. Differences, however, are insignificant. 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 9 out of 20 that the difference would be less than twice the standard error. BOTH SEXES Labor force and total employment Nonagricultural employment Unemployment MALE Labor force and total employment Nonagricultural employment FEMALE Labor force and total employment Agriculture Nonagricultural employment Unemployment 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 yeartoyear change. 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 monthtomonth change itself. Thus, in order to use the approximations to the standard errors of mo nthtomonth 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 monthtomonth change in table C corresponding to this standard error of level. It should 0 Size of estimate , ,500 5,000 0, , ,000 40, Table B. Standard error of level of monthly estimates (In thousands) Both sexes Total or white Total Male or white Female Total or white Nonwhite Nonwhite Nonwhite

99 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. Illustration: Assume that the tables showed the total number of persons working a specific number of hours as 5,000,000, an increase of 500,000 over the previous month/linear interpolation in the first column of table B shows that the standard error of 5,000,000 is about 33,000. Consequently, the chances are about 68 out of 00 that the sample estimate differs by less than 33,000 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 33,000 as the standard error of the monthly level in table C, it may be seen that the standard error of the 500,000 increase is about 26,000. Table C. Standard error of estimates of monthtomonth change (In thousands) 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. Base of percentages (thousands) Table D. Standard error of percentage or 99 2 or 98 5 or 95 Estimated percentage 0 or 90 5 or or or or Standard error of monthly level Standard error of monthtomonth change , , , ,000. 0, , , , ?, Establishment Data COLLECTION Payroll reports provide current information on wage and salary employment, hours, earnings, and labor turnover in nonagricultural establishments, by industry and geographic location. FederalState Cooperation Under cooperative arrangements with State agencies, the respondent fills out a single employment or labor turnover reporting form, 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 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 establishment 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 29 Monthly Report on Labor Turnover. These schedules are of the "shuttle" type, with space for each month of the calendar year. The collecting agency returns the schedule to the respondent each month 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. Form BLS 790 provides for entry of data on the number of full and parttime workers on the payrolls of non

100 agricultural establishments and, for most industries, payroll and manhours of production and related workers or nonsupervisory workers for the pay period which includes the 2th 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 reporting on Form BLS 790 and Form DL 29 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 a supplement to the monthly 790 or 29 report. For 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, 957, as amended by the 963 Supplement. Industry Employment Employment data, except those for the Federal Government, refer to persons on establishment payrolls who received pay for any part of the pay period which includes the 2th 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 selfemployed, unpaid volunteer, or family workers, farm workers, and domestic workers in households. Salaried officers of corporations are included. Government employment covers only civilian employees; military personnel are excluded. Persons on establishment payrolls 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 have not reported to work during the period. Industry Hours and Earnings Hours and earnings data are derived from reports of payrolls and manhours for production and related workers in manufacturing and mining, construction workers in contract construction, and nonsupervisory employees in the remaining nonagriculture components. For Federal Government, hours and earnings relate to all employees, both supervisory and nonsupervisory. Terms are defined below. When the pay period reported is longer than week, 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 f s own use (e.g., power plant), and recordkeeping and other services closely associated with the above production operations. Construction workers include 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 preassembling) ordinarily performed by members of the construction trades. Nonsupervisory employees include employees (not above the working supervisory level) such as office and clerical workers, repairmen, salespersons, operators, drivers, physicians, lawyers, accountants, nurses, social workers, research aids, teachers, draftsmen, photographers, beauticians, musicians, restaurant workers, custodial workers, attendants, 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 parttime production, construction, or nonsupervisory workers who received pay for any part of the pay period which includes the 2th of the month. The payroll is reported before deductions of any kind, e.g., for oldage 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), tips, and the value of free rent, fuel, meals, or other payment in kind are excluded. "Fringe benefits" (such as health and other types of insurance, contributions to retirement, etc. paid by the employer) are also excluded. Manhours cover manhours paid for, during the pay period which includes the 2th of the month, for production, construction, or nonsupervisory workers. The manhours include hours paid for holidays and vacations, and for sick leave when pay is received directly from the firm. Overtime hours cover hours worked by production or related workers for which overtime premiums were paid because the hours were in excess of the number of hours of either the straighttime workday or the workweek during the pay period which includes the 2th of the month. Weekend and holiday hours are included only if overtime 03

101 premiums 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 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 lateshift work and changes in output of workers paid on an incentive plan. Shifts in the volume of employment between relatively highpaid and lowpaid 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; rates are the amounts stipulated for a given unit of work or time. The earnings series 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 productionworker, construction worker, or nonsupervisoryemployee definitions. Gross average weekly earnings are derived by multiplying average weekly hours by 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, parttime 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 overtime premiums were paid. If an employee worked on a paid holiday at regular rates, receiving as total compensation his holiday pay plus straighttime 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 monthtomonth; for example, overtime premiums may be paid for hours in excess of the straighttime workday although less than a full week is worked. Diverse trends at the industrygroup level also may 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. Hours and Farnings For Total Private Nonagricultural Industries This series covers all nonagricultural industry divisions except government. The principal source of payroll data is Form BLS 790. Secondary source material such as Employment and Wages (Bureau of Employment Security), County Business Patterns (Bureau of the Census), and additional supporting information such as The Hospital Guide, Part II, of the American Hospital Association and special studies by the National Council of Churches supplement data for certain industry groups within the service division. For a technical description of this series, see the article, "Hours and Earnings for Workers in Private Nonagricultural Industries," published in the May issue of Employment and Earnings and Monthly Report on the Labor Force. Railroad Hours and Earnings The figures for class I railroads (excluding switching and terminal companies) are based on monthly data summarized in the M300 report of the Interstate Commerce Commission and relate to all employees except executives, officials, and staff assistants (ICC group I) who received pay during the month. Gross average hourly earnings are computed by dividing total compensation by total hours paid for. Average weekly hours are obtained by dividing the total numberof 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 and his marital status, 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 married worker with three dependents. The computations are based on gross average weekly earnings for all production or nonsupervisory workers in the industry division excluding other income and income earned by other family members. "Real" earnings are computed by dividing the current Consumer Price Index into the earnings averages for the current month. The level of earnings is thus adjusted for changes in purchasing power since the base period (95759). 04

102 Average Hourly Earnings Excluding Overtime Average hourly earnings excluding overtime premium pay are computed by dividing the total productionworker payroll for the industry group by the sum of total productionworker manhours and onehalf of total overtime manhours. Prior to January 956, these data were based on the application of adjustment factors to gross average hourly earnings (as described in the Monthly Labor Review, May 950, pp ). Both methods eliminate only the earnings due to overtime paid for at H times the straighttime rates. No adjustment is made for other premium payment provisions, such as holiday work, lateshift work, and overtime rates other than time and onehalf. Indexes of Aggregate Weekly Payrolls and ManHours The indexes of aggregate weekly payrolls and manhours are prepared by dividing the current month's aggregate by the monthly average for the period. The manhour aggregates are the product of average weekly hours and productionworker employment, and the payroll aggregates are the product of gross average weekly earnings and productionworker 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 00 employees. The data relate to all employees, whether full or parttime, 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 959. Accessions are the total number of permanent and temporary additions to the employment roll, including both new and rehired 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 employer. 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, are 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. Relationship to Employment Series Monthtomonth 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 2th of the month; and (2) 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 procedure used to estimate employment for the industry statistics are the use of the "link relative" technique, which is a form of ratio estimation, (2) periodic adjustment of employment levels to new benchmarks, and (3) the use of size and regional stratification. The "Link Relative" Technique From a sample composed of establishments reporting for both the previous and current months, the ratio of current month employment to that of the previous month is computed. This is called a link relative. 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. In addition, small bias correction factors are applied to selected employment estimates each month. The size of the bias correction factors is determined from past experience. Other features of the general procedures are described later in the table, Summary of Methods for Computing Industry Statistics on Employment, Hours, Earnings, and Labor Turnover. Further details are given in the technical notes onmeasurement of Employment, Hours, and Earnings in Nonagricultural Industries and on Measurement of Labor Turnover, which are available upon request. Size and Regional Stratification A number of industries are stratified by size of establishment and/or by region, and the stratified produc 05

103 tion or nonsupervisoryworker 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, may be a whole industry or a size stratum, a region stratum, or a size stratum of a region within an industry. Benchmark Adjustments Employment estimates are compared periodically with comprehensive counts of employment which provide "benchmarks" for the various nonagriculturalindustries, and appropriate adjustments are made as indicated. The industry estimates are currently projected from March levels. Normally, benchmark adjustments are made annually. The primary sources of benchmark information are employment data, by industry, compiled quarterly by State agencies from reports of establishments covered under State unemployment insurance laws. These tabulations, covering threefourths of the total nonagricultural 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 Sepurity 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; the sample is used to measure the monthtomonth changes in the level. A comparison of the actual amounts of revisions made in the last 3 benchmark years follows: Nonagricultural payroll employment estimates, by industry division, as a percentage of the benchmark for Industry division Total Mining Contract construction... Manufacturing... Transportation and public utilities Wholesale and retail trade Finance, insurance, and real estate Services Government Data for all months since the last benchmark to which the series has been adjusted are 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 SAMPLE Design The sampling plan used in the current employment statistics program is known as "sampling proportionate to average size of establishment." This design is an optimum allocation design among strata since the sampling variance is proportional to the average size of establishments. The universe of establishments is stratified first by industry and then within each industry by size of establishment in terms of employment. For each industry, the number of sample units is distributed among the size class cells on the basis of average employment per establishment in each cell. In practice, this is equivalent to distributing the predetermined total number of establishments required in the sample among the cells on the basis of the ratio of employment in each cell to total employment in the industry. Within each noncertainty stratum the sample members are selected at random. Under this type of design, large establishments fall into the sample with certainty. The size of the samples for the various industries is determined empirically on the basis of experience and of cost considerations. In a manufacturing industry in which a high proportion of total employment is concentrated in relatively few establishments, a large percentage of total employment is included in the sample. Consequently, the sample design for such industries provides for a complete census of the larger establishments with only a few chosen from among the smaller establishments or none at all if the concentration of employment is great enough. On the other hand, in an industry in which a large proportion of total employment is in small establishments, the sample design calls for inclusion of all large establishments and also for a substantial number of the smaller ones. Many industries in the trade and service divisions fall into this category. To keep the sample to a size which can be handled by available resources, it is necessary to accept samples in these divisions with a smaller proportion of universe employment than is the case for most manufacturing industries. Since individual establishments in these nonmanufacturing divisions generally show less fluctuation from regular cyclical or seasonal patterns than establishments in manufacturing industries, these smaller samples (in terms of employment) generally produce reliable estimates. In the context of the BLS employment and labor turnover statistics programs, with their emphasis on pro 06

104 ducing 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 withina few weeks after reports are mailed by respondents, and at a somewhat later date, statistics in considerably greater industrial detail. 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 Industry division Mining Contract construction Manufacturing Transportation and public utilities: Railroad transportation (ICC) Other transportation and public utilities Wholesale and retail trade. Finance, insurance and real estate Services. Government: Federal (Civil Service Commission) 2 State and local Number of establishments in sample 2,300 5,400 44, ,000 39,300 9,00 20,800 3,00 9,000 Employees Number reported 294, ,000 2,285,000 66,000,943,000 2,585,000,29,000 2,064,000 2,669,000 4,749,000 Percent of total Since a few establishments do not report payroll and manhour information, hours and earnings estimates may be based on a slightly smaller sample than employment estimates. 2 State and area estimates of Federal employment are based on reports from a sample of Federal establishments, collected through the BLSState cooperative program. The table below shows the approximate coverage, in terms of employment, of the labor turnover sample. Approximate size and coverage of BLS labor turnover sample, March Industry Manufacturing Metal mining Coal mining Communication: Telegraph Number reported,497,00 60,400 64, ,000 23,00 Reliability of the Employment Estimates Employees Percent of total The estimates derived from the establishment survey 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 relatively large size of the BLS establishment sample assures a high degree of accuracy. However, since the link relative technique requires the use of the previous month's estimate as the base in computing the current month's estimate, small sampling and response errors may cumulate over several months. To remove this accumulated error, the estimates are adjusted annually to new benchmarks. In addition to the sampling and response errors, the benchmark revision adjusts the estimates for 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). In fact, at the more detailed industry levels, particularly within manufacturing, changes in classification are the major cause of benchmark adjustments. Another cause of differences, generally minor, arises from improvements in the quality of the benchmark data. (A detailed description of the March benchmark is available from the Bureau upon request.) One measure of the reliability of ratio estimates is the root mean square error (RMSE). This measure is the standard deviation adjusted for the bias in ratio estimates (RMSE = \/(Standard Deviation) 2 + (Bias) 2 ). If the bias is small, the chances are about 2 out of 3 that an estimate from the sample would differ from its benchmark by less than the root mean square error. The chances are about 9 out of 20 that the difference would be less than twice the root mean square error. Approximations of the root mean square errors (based on the experience of the last several years) of differences between final estimates and benchmarks are presented in the following table. 0 7

105 Rootmeansquare errors of differences between benchmarks and estimates Size of employment estimate 50,000 00, , ,000,000,000 2,000,000 Rootmeansquare error 2,200 2,400 4,300 7,000,800 9,600 Assuming 2month intervals between benchmark revisions. For the most recent months, estimates of employment, hours, and earnings are preliminary and are so footnoted in the tables. These figures are based on less than the total sample and are revised when all the reports in the sample have been received. The table below presents rootmeansquareerrors of the amounts of Errors of preliminary employment estimates Size of empl. estimate 50,000 00, , ,000,000,000 2,000,000 0,000,000 Total Nonag. empl. Rootmeansquare error of Monthly level 600,00,800 2,500 3,700 7,000 24,900 78,000 Monthtomonth change 500,000,500 2,400 3,500 7,000 23,500 68,000 revision that may be expected between the preliminary and final levels of employment and preliminary and final monthtomonth changes. Revisions of preliminary hours and earnings estimates are normally not greater than. of an hour for weekly hours or cent for hourly earnings. 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 and Monthly Report on the Labor Force that contains State and area annual averages (usually the May issue). 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. 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) in a summary volume published annually by the BLS. UNEMPLOYMENT INSURANCE DATA Insured unemployment represents the number of persons reporting a week of unemployment under an unemployment insurance program. It includes some persons who are working part time who would be counted as employed in the payroll and household surveys. Excluded are 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, selfemployment, unpaid family work, nonprofit organizations, and firms below a minimum size). The rate of insured unemployment is the number of insured unemployed expressed as a percent of average covered employment in a 2month period ending 6 to 8 months prior to the week of reference. Initial claims are notices filed by those losing jobs covered by an unemployment insurance program that they are starting a period of unemployment. A claimant who continues to be unemployed a full week is then counted in the insured unemployment figure. Because of differences in State laws and procedures under which unemployment insurance programs are operated, State unemployment rates generally indicate, but do not precisely measure, differences among the individual States. Persons wishing to receive a detailed description of the nature, sources, inclusions and exclusions, and limitations of unemployment insurance data should address their inquiries to Bureau of Employment Security, Washington, D.C. 0S

106 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 and Monthly Report on the Labor Force. SEASONAL ADJUSTMENT 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 June 68'Employment and Earnings and Monthly Report on the Labor Force, and revisions will be made coincidental with the adjustment of series to new benchmark levels. The seasonal adjustment method used for these series is an adaptation of the standard ratiotomoving average method, with a provision for "moving" adjustment factors to take account of changing seasonal patterns. A detailed description of the method is given in the booklet, The BLS Seasonal Factor Method (966), which may be. obtained from the Bureau on request. For establishment data, the seasonally adjusted series on weekly hours and labor turnover rates for industrv groupings are computed by applying factors directly to the corresponding unadjusted series. However, seasonally adjusted employment totals for all employees and production workers by industry division are obtained by summing seasonally adjusted data for the component industries. Indexes of aggregate weekly manhours, seasonally adjusted, for mining, contract construction, and the major industries in manufacturing are obtained by multiplying average weekly hours, seasonally adjusted, by production workers, seasonally adjusted, and dividing by the base. For total, manufacturing, and durable and nondurable goods, the indexes of aggregate weekly manhours, seasonally adjusted, are obtained by summing the aggregate weekly manhours, seasonally adjusted, for the appropriate component industries and dividing by the base. For each of the three ma jor labor force components agricultural and nonagricultural employment and unemployment data for four agesex 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 agesex components) by the figure for the seasonally adjusted civilian labor force (the sum of twelve seasonally adjusted agesex 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 and Monthly Report on the Labor Force. Revisions will be made annually as each additional year's data become available. ATTENTION As discussed in the Technical Note, the Bureau periodically 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. Industry data for all national series shown in this report have been adjusted to March benchmarks. Data from April forward are subject to revision at the time of the next benchmark. Beginning with the June and subsequent issues of Employment and Earnings and Monthly Report on the Labor Force, the national data in sections B, C, and D supersede those published in previous issues, as well as those appearing in the Handbook of Labor Statistics,. Comparable data are published in Employment and Earnings Statistics for the United States, 90968, BLS Bulletin

107 Summary of Methods for Computing Industry Statistics on Employment, Hours, Earnings, and Lnhor Turnover Item Basic estimating cells (industry, region, size, or region/size cell) Monthly Aggregate industry levels (divisions, groups and, where stratified, individual cells) Data All employees..... Allemployee 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 allemployee estimates for component cells. Production or nonsupervisory workers; women employees. Allemployee estimate for current month multi plied by ratio of production or nonsupervisory workers to all employees in sample establishments for current month, (2) ratio of women to all employees. Sum of production or nonsupervisoryworker estimates, or estimates of women employees, for component cells. Gross average weekly hours Production or nonsupervisoryworker manhours divided by number of production or nonsupervisory workers. Average, weighted by production or nonsupervisoryworker employment, of the average we«kly hours for component cells. Average weekly overtime hours Productionworker overtime manhours divided by number of production workers. Average, weighted by productionworker employment, of the average weekly overtime hours foe component cells. Gross average hourly earnings..... Total production or nonsupervisoryworker payroll divided by total production or nonsupervisoryworker manhours. Average, weighted by aggregate manhours, 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 00. 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 2. Sum of monthly estimates divided by 2. Gross average weekly hours. Annual total of aggregate manhours (productionor nonsupervisoryworker employment multiplied by average weekly hours) divided by annual sum of employment. Annual total of aggregate manhours for production or nonsupervisory workers divided by annual sum of employment for these workers. Average weekly overtime hours..... Annual total of aggregate overtime manhours (productionworker employment multiplied by average weekly overtime hours) divided by annual sum of employment. Annual total of aggregate overtime manhours for production workers divided by annual sum of employment for these workers. Gross average hourly earnings..... Annual total of aggregate payrolls (productionor nonsupervisoryworker employment multiplied by weekly earnings) divided by annual aggregate manhours. Annual total of aggregate payrolls divided, by annua aggregate manhours. Gross average weekly earnings Product of gross average weekly hours and average hourly earnings. Product of gross average weekly hours and average hourly earnings. Labol turnover rates Sum of monthly rates divided by 2. Sum of monthly rates divided by 2. 0 *U.S. GOVERNMENT PRINTING OFFICE : O 3284?

108 UNITED STATES DEPARTMENT OF LABOR Bureau off Labor Statistics Regional Offices REGION I BOSTON BLS Regional Director John Fitzgerald Kennedy Federal Bldg. Government Center Room 603 A Boston, Mass REGION II NEW YORK BLS Regional Director 34 Ninth Avenue New York, N. Y. 000 REGION III PHILADELPHIA BLS Regional Director Penn Square Bldg., Rm Filbert Street Philadelphia, Pa. 907 REGION IV ATLANTA BLS Regional Director 37 Peachtree Street, N. E. Atlanta, Ga REGION V CHICAGO BLS Regional Director 29 South Dearborn Street Chicago, REGION VI KANSAS CITY BLS Regional Director 9 Walnut Street Kansas City, Mo REGION VII DALLAS BLS Regional Director 4 North Akard Street Dallas, Tex REGION VIII SAN FRANCISCO BLS Regional Director 450 Golden Gate Avenue, Box 3607 San Francisco, Calif BLS Region COOPERATING STATE AGENCIES IV VII VIII VII VIII ALABAMA ALASKA ARIZONA ARKANSAS CALIFORNIA Department ±*rsz JLSCLJ. uixc ut of KJ±. Industrial xiiuu on J.CLX. Relations, nc laliuiia Montgomery f xynjii iguxxic 3604 x y JUI UT: Employment Security Division, Department of Labor, Ju LX Employment, VI I III III IV IV VIII VIII V V VI VI V VII I III I V V IV VI VI VI VII I II VII II III COLORADO CONNECTICUT DELAWARE DIST. OF COL. 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 ijcl^x CXlllC UUU 7XJix \UIIUVCJ.;. Department of Employment, Denver Employment Security Division, Department of Labor, Hartford 065 Employment Security Commission, Wilmington 980 U.S. Employment Service for D.C., Washington 2022 Industrial Commission, Tallahassee Employment Security Agency, Department of Labor, Atlanta Department of Labor and Industrial Relations, Honolulu 968 Department of Employment, Boise Division of Research and Statistics, Department of Labor, Chicago Employment Security Division, Indianapolis Employment Security Commission, Des Moines 5039 nkfort 4060 : employment security Commission, A o Department of Employment Security, Baltimore 220 Division of Statistics, Department of Labor and Industries, Boston (Employme it). Division of Employment Security, Boston 0225 (Turnover). Em xlixiijjjluyiiiciil Lployment Security octurily Commission, ^uxiniiia oiuu, Detroit ueiruil TOO\JC Department of Employment Security, St. Paul 550 Employment Security Commission, Jackson Division of Employment Security, Jefferson City 6502 Unemployment Compensation Commission, Helena 5960 Division of Employment, Department of Labor, Lincoln 6850 Employment Security Department, Carson City 8970 Department of Employment Security, Concord 0330 Department of Labor and Industry: Bureau of Statisticsand Records (Employment); Division of Employment Security (Turnover), Trenton Employment Security Commission, Albuquerque 8703 Research and Statistics Office, Division of Employment, N. Y. State Department of Labor, State r*. A *~* Campus _ T»_*"IJ* Building *> 2, A l l Albany *5 "> f\ 220 VI V VII VIII III I IV VI IV VII VI I III VIII III V VI NORTH DAKOTA OHIO OKLAHOMA OREGON PENNSYLVANIA RHODE ISLAND SOUTH CAROLINA SOUTH DAKOTA TENNESSEE TEXAS UTAH VERMONT VIRGINIA WASHINGTON WEST VIRGINIA WISCONSIN WYOMING Department of Employment, Salem 9730 Bureau of Employment Security, Department of Labor and Industry, Harrisburg 72 Division of Statistics and Census, Department of Labor, Providence (Employment). Department of Employment Security, Providence (Turnover). Employment Security Commission, Columbia Employment Security Department, Aberdeen 5740 Department of Employment Security, Nashville 3729 Employment Commission, Austin 787G Department of Employment Security, Salt Lake City 84 Department of Employment Security, Montpelier Division of Research and Statistics, Department of Labor and Industry, Richmond 2324 (Employment). Employment Commission, Richmond 232 (Turnover) Employment Security Department, Olympia 9850 Department of Employment Security, Charleston Unemployment Compensation Department, Madison 5370 Employment Security Commission, Casper