EMPLOYMENT and EARNINGS

Transcription

1 EMPLOYMENT and EARNINGS and MONTHLY REPORT on the LABOR FORCE March Vol. No. 9 Joseph M. Finerty, Editor Kathryn D. Hoyle, Associate Editor CONTENTS Page Summary Employment and Unemployment Developments, February 3 Revised Labor Force Series 0... o 5 Revised Seasonally Adjusted Labor Force Series. 17 Statistical Tables o 42 Technical Note 1 STATISTICAL TABLES Section ALabor Force, Employment, and Unemployment Household data Employment Status A 1: Employment status of the noninstitutional population, 1929 to date, A 2: Employment status of the noninstitutional population 16 years and over by sex, 1947 to date A 3: Employment status of the noninstitutional population by age, sex, and color, A 4: Labor force by age, sex, and color... A 5: Employment status of persons 1621 years of age in the noninstitutional population by color and sex, A 6: Employment status of the noninstitutional population 16 years and over by color, age, and sex A 7: Full and parttime status of the civilian labor force by age and sex, Characteristics of the Unemployed A 8: Unemployed persons by age and sex, A 9: Unemployed persons by marital status, age, sex, and color..... *... A10: Unemployed persons by occupation of last job and sex All: Unemployed persons by industry of last job and sex A12: Unemployed persons by duration of unemployment.. A: Unemployed persons by duration, sex, age, color, and marital status A14: Unemployed persons by duration, occupation, and industry of last job Characteristics of the Employed A 15: Employed persons by age and sex.... Employed persons by occupation group, age, and sex. o Employed persons by major occupation group, color, and sex Employed persons by class of worker, age, and sex Employed persons with a job but not at work by reason, pay status, and sex Persons at work by type of industry and hours of work Persons at work 4 hours by usual status and reason working part time A16: A17: A18: A19: A20: A21: A22: A23: A24: Nonagricultural workers by full or parttime status Persons at work in nonagricultural industries by full or parttime status, age, sex, color, and marital status.. Persons at work in nonfarm occupations by full or parttime status and sex Data on 14 and 15 Yearolds A25: Employment status of yearolds by s«x and color A26: Employed 1415 yearolds by sex, major occupation group, and class of worker Seasonally Adjusted Data A27: Employment status of the noninstitutional population by age and sex, seasonally adjusted A28: Employment status by color, sex, and age, seasonally adjusted A29: Major unemployment indicators, seasonally adjusted. A30: Unemployed persons by duration of unemployment, seasonally adjusted A31: Rates of unemployment by age and sex, seasonally adjusted A32: Employed persons by age and sex, seasonally adjusted. A33: Employed persons by major occupation group, seasonally adjusted...* IN THIS ISSUE Revised Historical Labor Force Series (seepages 5 and 17 ). Annual Aver ages Final averages for establishmentbased data are shown for all tables containing national series in Sections B, C, and D. New Series Employment (Table B7) for: Columbus, Georgia; Las Vegas, Nevada; Amarillo, Lubbock, GalvestonTexas City, Waco, and Wichita Falls, Texas Hours and earnings (Table C9) for :Asheville and Raleigh, North Carolina; Jackson, Michigan; Amarillo, Lubbock, Galves tontexas City, Waco and Wichita Falls, Texas Continued on following page

2 CONTENTS Continued Section BPayroll Employment, by Industry Establishment data National B 1: Employees on nonagricultural payrolls, by industry division, 1919 to date 69 B2: Employees on nonagricultural payrolls, by industry 70 B3: Women employees on nonagricultural payrolls, by industry l 77 B4: Indexes of employment on nonagricultural payrolls, by industry division, 1919 to date, monthly data seasonally adjusted. 83 B 5: Employees on nonagricultural payrolls, by industry, seasonally adjusted 84 B6: Production workers on manufacturing payrolls, by industry, seasonally adjusted 85 State and Area B7: Employees on nonagricultural payrolls for States and selected areas, by industry'division...» 86 Section CIndustry Hours and Earnings Establishment data National C 1: Gross hours and earnings of production workers on manufacturing payrolls, 1919 to date 97 C2: Gross hours and earnings of production workers, by industry, 98 C3: Employment, hours, and indexes of earnings in the Executive Branch of the Federal Government 110 C4: Average hourly.earnings excluding overtime of production workers on manufacturing payrolls, by industry 110 C 5: Gross and spendable average weekly earnings in selected industries, in current and dollars <> Ill C6: Indexes of aggregate weekly manhours and payrolls in industrial and construction activities Ill C7: Average weekly hours of production workers on payrolls of selected industries, seasonally adjusted. 112 C8: Indexes of aggregate weekly manhours in industrial and construction activities, seasonally adjusted 1 State and Area G9: Gross hours and earnings of production workers on manufacturing payrolls, by State and selected areas 114 Page Section D~Labor Turnover Establishment data National Dl: Labor turnover rates in manufacturing, 1957 to date P 2: Labor turnover rates, by industry o D3: Labor turnover rates in manufacturing, by sex and major industry 1 D4: Labor turnover rates in manufacturing, 1957 to date, seasonally adjusted.. o. 124 State and Area D 5: Labor turnover rates in manufacturing for selected States and areas 125 Section EUnemployment Insurance Data E 1: Insured unemployment under State programs 129 E2: Insured unemployment in 150 major labor areas 0 CAUTION Periodically, the Bureau adjusts the industry employment series to a recent benchmark to improve their accuracy. These adjustments may also affect the hours and earnings series because employment levels are used as weights. Data from April 1965 forward are subject to revision at the time of the next benchmark adjustment. Beginning with September and subsequent issues of Employment and Earnings and Monthly Report on the Labor Force, national data in Sections B, C, and D are based on March 1965 benchmarks. Comparable data for prior periods are published in Employment and Earnings Statistics for the United States, , BLS Bulletin 124. For further information regarding benchmark adjustments and other aspects of the program, the user is referred to the technical note at the back of this volume. 1 Quarterly data included in February, May, August, and November issues.

3 SUMMARY EMPLOYMENT AND UNEMPLOYMENT DEVELOPMENTS, FEBRUARY The manpower situation in February was marked by continued high employment and low unemployment rates, but by declines in manufacturing employment and hours. The following developments highlighted the overthemonth picture: 1. Nonfarm payroll employment, on a seasonally adjusted basis, rose by 125,000 to a record 6million. The improvement was confined to services, government, and contract construction. Manufacturing employment (seasonally adjusted) declined by 65,000, with reductions widespread among the individual industries. 2. Construction employment showed a sizable seasonally adjusted advance (50,000), reflecting the recent improvement in residential construction. 3. Unemployment, at million in February, showed little change from January. The Nation's unemployment rate, at percent, was unchanged from that of a month ago. Rates for the major agesex groups, as well as for married men, n on white s, and bluecollar workers, were virtually unchanged. 4. The number of nonagricultural workers on economic part time for economic reasons (due to slack work, material shortages, etc.) increased by 100,000 to million in February. Usually, the number declines slightly between January and February. Industry Developments Nonfarm payroll employment increased by 125,000 (seasonally adjusted) between January and February. The improvement was concentrated in government, miscellaneous services, and contract construction. On a seasonally adjusted basis, contract construction employment increased by 50,000 over the month. Construction employment has undergone a resurgence in recent months after a decline during the spring and summer of. From November, employment has risen by 150,000 and in February was roughly 60,000 shy of the March peak. In the same period, the construction unemployment rate edged down to its yearearlier level. Manufacturing employment (seasonally adjusted) fell by 65,000 in February. There were small but widespread declines in both the durable and nondurable goods industries. After adjustment for seasonal changes, the reductions in apparel (20,000), machinery (,000), and primary metals (10,000) accounted for twothirds of the total drop. Employment in the transportation equipment industry fell slightly, reflecting automobile production cutbacks. The factory workweek, which had edged down from 4 hours in November to 4 hours in January, dropped to 40 hours (seasonally adjusted) in February. The decline reflected both inventory adjustments and bad weather in some areas. Average hourly earnings of manufacturing production workers rose 1 cent to $8 in February, but, with weekly hours dropping sharply over the month, average weekly earnings declined by $4to $118. Over the year, nonfarm payroll employment increased by million to 6 million with gains in all industry groups except mining. Manufacturing employment rose by 700,000, with about threefourths of the rise in the durable goods industries. Employment in contract construction was slightly ahead of its yearago level. The serviceproducing sector, however, continued to account for the major portion of the overtheyear employment rise, advancing by nearly 2 million. Government employment rose by 800,000, while miscellaneous services accounted for onehalf million of the total pickup. Total Employment and Labor Force The employment of persons 16 years of age and over totaled 7 million in February, an increase of million since February. The employment of adult men was up 600,000 over the year, with gains of million for adult women and 250,000 for

4 teenagers. Nonagricultural employment was up by million, while agricultural employment continued its longterm decline, falling by nearly 200,000. The civilian labor force, at 7 million, in February, continued to show strong overtheyear gains, rising by million. In the first two months of, yeartoyear labor force increases exceeded the anticipated longterm growth rate by 400,000. Unemployment Unemployment totaled million in February, unchanged from a month earlier. Almost all of the million adult' men, nearly 75 percent of the million adult women, and nearly half of the 750,000 unemployed teenagers were seeking fulltime jobs. Unemployment rates were percent for adult men, percent for women, and 1 percent for teenagers (16 to 19 years of age). Unemployed nonwhites numbered 650,000 in February, onefifth of the jobless total. Their unemployment rate, at percent, remained more than twice the rate for whites. The total rate of unemployment, at percent in February, has fluctuated within the narrow range of to percent for 14 months. One effect of such stability in the unemployment rate has been the reduction in longterm unern.ployment (15 weeks and over). From a year ago, longterm unemployment was down by 170,000 to 500,000, while very longterm unemployment (27 weeks or longer) has been reduced by 80,000. Insured Unemployment State insured unemployment (whichusually shows a minor decline at this time of year) edged slightly higher in February, moving up by 16,000 to 1,579,000. This was some 61,000 under the yearago figure and marks the lowest midfebruary insured jobless total since On a seasonally adjusted basis, State program insured joblessness rose from January's 1,3,000 to 1,158,000; the rate was unchanged at percent. Most of the overthemonth changes among the States were small. Compared with a year ago, 33 States had lower volumes of insured unemployment with the largest reductions occurring in New York36,000, Pennsylvania12,800, Ohio9,400, and IIlinois9,300. Michigan had an overtheyear increase of 23,000, while in California a rise of 17,900 was noted. The highest midfebruary rate, unadjusted, was reported by Alaska1 percent. Rates of less than 2 percent were reported in the District of Columbia, Florida, Georgia, New Hampshire, Texas, and Virginia. Recent Weekly State Insured Unemployment Data (In thousands) Current Year earlier Week Ended Initial claims Insured unemployment Rate (percent) Initial claims Insured unemployment Rate (percent) January January February 4... February 11.. February 18.. February 25.. March ,551 1,533 1,534 1,557 1,579 1, ,624 1,617 1,669 1,640 1,546 1,545

5 REVISED LABOR FORCE SERIES Contents PAGE SUMMARY EMPLOYMENT AND UNEMPLOYMENT ESTIMATES Total Labor Force Civilian Labor Force T otal Employme nt Agricultural Employment Nonagricultural Employment.. 7 Unemployme nt 7 EMPLOYMENT STATUS OF 1619 YEAROLDS Civilian Labor Force Both Sexes 1619 Years 8 Employment Both Sexes 1619 Years,,,, 8 Nonagricultural Employment Both Sexes 1619 Years.. o 8 Agricultural Employment Both Sexes 1619 Years, o 9 Unemployment Both Sexes 1619 Years... o...» «. 9 RATES OF UNEMPLOYMENT Unemployment Rate 16 Years and Over 10 Unemployment Rate Both Sexes 1619 Years 10 Unemployment Rate Males 16 Years and Over. 10 Unemployment Rate Males 1619 Years o 11 Unemployment Rate Females 16 Years and Over 11 Unemployment Rate Females 1619 Years Unemployment Rate White Workers 16 Years and Over...* 12 Unemployment Rate White Workers 1619 Years 12 Unemployment Rate Nonwhite Workers 16 Years and Over 12 Unemployment Rate Nonwhite Workers 1619 Years. 12 EMPLOYMENT STATUS BY AGE, SEX, COLOR, AND OCCUPATION Employment Males 1619 Years Employment Females 1619 Years Employment White Workers 16 Years and Over Employment White Workers 1619 Years 14 Employment Nonwhite Workers 16 Years and Over Employment Nonwhite Workers 1619 Years 14 Employment Nonfarm Laborers 14 Employment Sales Workers Employment Service Workers 15 Employment Farmers and Farm Laborers 15 Unemployment Males 1619 Years.. 15 Unemployment Females 1619 Years Unemployment White Workers 16 Years and Over 16 Unemployment White Workers 1619 Years. * 16 Unemployment Nonwhite Workers 16 Years and Over. 16 Unemployment Nonwhite Workers 1619 Years 16 The tables listed above and labeled "original series" are the data before seasonal adjustment. The figures have been revised to take account of the deletion of 14 and 15 yearolds from the labor force series. All data are rounded to the nearest thousand. The February issue of this magazine contained additional revised historical seasonally adjusted series, as well as the current seasonal adjustment factors for labor force components, a brief description of the seasonal adjustment method, and an explanation of the new labor force definitions.

6 HOUSEHOLD DATA TOTAL LABOR FORCE MAR. APR. MAY JUNE AUG. SEPT. OCT. NOV. DEC. ORIGINAL DATA I ,931 60,949 62,245 63,060 64,453 65,809 65,658 66,226 68,031 67,997 68,619 69,327 70,015 71,656 71,679 72,511 73,707 74,884 60,473 61,302 62,354 63,195 64,564 65,778 66,456 66,4 67,771 68,414 69,025 69,304 70,278 72,057 72,239 73,1 74,390 75,566 60,483 61,683 62,392 64,320 64,402 66,247 66,549 66,333 68,160 68,772 69,370 69,968 70,291 72,652 72,629 73,503 74,663 75,787 61,114 61,698 62,807 63,932 64,584 66,049 66,758 67,157 68,591 68,958 69,834 70,370 71,569 72,364 72,705 73,969 75,523 76,398 61,015 62,654 63,302 64,914 65,552 66,0 67,039 67,534 69,709 69,668 70,568 70,9 72,226 73,015 73,533 74,670 76,228 77,196 63,393 63,665 64,859 65,522 66,514 67,454 67,521 68,457 70,730 71,077 71,506 72,242 73,957 74,968 74,927 76,4 77,645 79,015 63,659 64,022 64,470 66,5 66,326 67,486 67,532 69,123 70,760 71,392 71,539 72,335 73,632 74,386 74,533 76,109 77,254 79,215 63,240 63,928 64,898 66,097 66,251 67,373 67,662 69,381 70,393 70,374 71,261 71,781 73,196 73,997 74,797 75,556 76,978 78,553 62,764 63,418 64,188 65,504 66,358 66,723 67,707 68,985 69,930 70,091 70,459 71,141 72,724 72,617 73,810 74,786 75,854 76,973 62,428 63,283 64,497 65,870 65,892 66,927 67,447 69,380 69,988 70,363 70,862 71,648 72,623 73,235 73,820 75,100 76,082 77,581 62,438 63,622 64,610 65,712 66,389 66,839 67,301 69,334 69,738 69,985 70,302 71,042 72,894 73,046 73,522 75,068 75,941 77,507 62,212 62,832 63,897 65,333 65,880 65,922 66,284 68,815 69,105 69,618 69,954 70,980 72,287 72,385 73,109 74,319 75,678 77,446 76,457 76,704 77,044 77,8 78,458 80,729 80,840 80,664 78,979 79,487 79,895 79,644 CIVILIAN LABOR FORCE ORIGINAL DATA 1948*. 58, , , * , , , , , »..«.. 65, , ,730 I , , , , , ,177.* 73,567 59,247 59,794 60,988 60,640 61,174 62,235 63,042 62,905 64,865 65,597 66,381 66,7 67,757 69,523 69,353 70,389 71,658 72,862 59,247 50,192 61,046 61,689 60,914 62,702 63,156 63,147 65,267 65,956 66,722 67,389 67,771 70,123 69,744 70,771 71,920 73,084 59,878 60,206 61,477 61,144 61,068 62,521 63,383 64,023 65,712 66,9 67,180 67,799 69,057 69,844 69,820 71,233 72,778 73,712 59,777 61,185 61,982 61,989 62,032 62,597 63,678 64,470 66,844 66,848 67,930 68,363 69,722 70,502 70,658 71,933 73,480 74,512 62,2 62,197 63,548 62,505 63,020 63,898 64,178 65,461 67,886 68,258 68,875 69,704 71,460 72,464 72,071 73,398 74,901 76,335 62,366 62,559 63,155 63,040 62,860 63,896 64,202 66,159 67,924 68,569 68,908 69,798 71,123 71,872 71,678 73,365 74,514 76,522 61,915 62,460 63,561 62,934 62,790 63,783 64,328 66,412 67,552 67,535 68,625 69,244 70,715 71,468 71,938 72,807 74,227 75,860 61,398 61,959 62,735 62,294 62,890 63,148 64,385 66,014 67,104 67,272 67,824 68,609 70,207 70,070 71,075 /72,037 73,111 74,250 61,037 61,838 62,763 62,660 62,472 63,377 64,9 66,422 67,165 67,577 68,230 69,122 70,100 70,649 71,084 72,358 73,345 74,821 61,024 62,186 62,669 62,454 62,988 63,319 64,016 66,376 66,909 67,256 67,675 68,5 70,361 70,289 70,772 72,329 73,210 74,712 60,759 61,402 61,761 62,048 62,293 62*430 62*999 65,869 66*279 66,930 67,334 68,448, 69,757 69,572 70,345 71,579 72,952 74,605 73,780 74,070 74,805 75,4 77,630 77,705 77,486 75,750 76,208 76,573 76,254 ORIGINAL OATA ,339 56, , , , , , , , , , , , , , , , ,235 70,339 56,440 56,320 56,197 58,102 58,834 60,271 59,059 59,336 61,773 62,512 61,265 62,015 63,871 63,869 64,872 65,519 67,197 68,690 56,601 56,809 56,733 59,366 58,912 60,874 59,119 59,850 62,172 63,4 61,567 63,091 63,607 64,700 65,421 66,329 67,695 69,385 57,471 5b,929 57,812 59,206 59,232 60,757 59,537 60,861 63,002 63,512 62,116 64,241 65,450 64,957 65,957 67,240 68,947 70,220 TOTAL EMPLOYMENT 57,763 57,669 58,719 60,219 60,250 61,061 60,020 61,780 64,045 64,2 63,098 65,036 66,342 65,831 67,066 67,984 69,952 71,298 59,724 58,231 59,997 60,373 60,988 62,166 60,497 62,568 64,707 65,127 63,652 65,924 67,288 67,151 67, ,844 70,448 72,278 59,955 58,171 59,839 60,968 60,775 62,186 60,523 63,497 64,940 65,726 63,810 66,193 67,239 66,911 67,849 69,225 70,839 73,093 59,677 58,504 60,948 61,128 60,872 62,271 60,858 63,876 65,085 65,009 64,018 65,897 67,004 67,028 68,096 69,052 70,676 72,695 59,337 58,324 60,245 60*408 61*162 61,529 60,952 63,676 64,831 64,769 63*766 65,414 66,892 66,036 67,620 68*567 69«849 71,408 59,290 58,050 60,708 60,906 60,992 61,805 61,210 64,8 65,074 65,112 64*480 65,891 66,563 66«786 67*850 68,964 70,147 72,112 58,991 58,616 60,3 60,464 61,394 61,302 60,901 63,840 64*310 64*129 63*890 64,877 66*394 66,348 67*046 68,471 69,892 71*824 58,554 57,712 59,352 60,252 60*748 59,796 59,990 63*268 63*619 63,598 63,266 64,927 65*287 65,531 66*585 67,791 69*543 71,819 70,677 71,084 72,077 72,620 74,038 74,655 74,666 73,247 73,743 73,995 73,599

7 ORIGINAL DATA JAN. AGRICULTURAL EMPLOYMENT APR. MAY JUNE JULY AUG. HOUSEHOLD DATA DEC. i I95C i ,581 6,058 5,805 6,002 5,608 5,171 5,205 5,474 4,821 4,863 4,572 4,506 4,524 4,308 4,104 3,888 3,649 3,447 6,587 6,749 6,058 5,759 5,922 5,419 5,540 5,005 5,352 5,045 4,722 4,554 4,516 4,570 4,454 3,945 3,843 3,704 3,479 6,677 7,152 6,472 6,199 5,860 5,737 5,743 5,589 5,528 5,266 4,947 5,045 4,444 4,809 4,642 4,220 3,895 3,875 3,646 7,222 7,554 6,952 6,436 6,220 6,060 5,869 6,058 6,174 5,604 5,390 5,651 5,239 4,845 4,828 4,492 4,263 4,304 4,021 7,556 8,581 7,696 7,145 6,690 6,221 6,549 6,697 6,802 6,389 5,995 6,7 5,639 5,346 5,190 4,922 4,776 4,910 4,097 8,773 9,058 8,434 7,510 7,548 7,308 7,076 7,192 7,321 6,976 6,395 6,689 6,354 6,110 5,804 5,451 5,361 5,225 4,704 8,509 8,987 7,905 7,366 7,047 6,960 6,949 7,207 7,4 7,257 6,251 6,325 6,357 5,919 5,577 5,416 5,326 5,127 4,579 7,933 7,956 7,601 7,114 6,480 6,668 6,444 6,997 6,737 6,331 6,3 5,915 6,010 5,858 5,301 5,016 4,989 4,746 4,307 8,352 7,758 7,427 7,080 7,074 6,739 7,069 7,491 7,023 6,251 5,920 5,941 6,255 5,429 5,279 5,051 4,977 4,566 4,185 8,311 7,384 8,059 7,324 7,008 6,770 6,907 7,545 6,857 6,511 6,121 5,864 5,930 5,659 5,222 5,094 4,889 4,710 4,1 7,650 7,565 7,251 6,766 6,588 6,394 5,947 6,671 5,997 5,654 5,525 5,421 5,439 5,028 4,757 4,603 4,382 3,974 3,815 7,127 6,588 6,036 6,216 5,572 5,231 5,195 5,731 5,010 5,235 4,773 4,664 4,808 4,299 3,962 3,928 3,687 3,543 3,360 NONAGRICULTURAL EMPLOYMENT ORIGINAL OATA , , , , , , , , , , , , , , , , , ,586 66,892 49,853 49,571 50,9 52,343 52,912 54,852 53,519 54,331 56,421 57,467 56,543 57,461 59,355 59,299 60,418 61,574 63,354 64,986 49,924 49,657 50,261 53,167 53,052 55,7 53,376 54,261 56,644 57,868 56,620 58,046 59,163 59,891 60,779 62,109 63,800 65,510 50,249 49,375 50,860 52,770 53,012 54,697 53,668 54,803 56,828 57,908 56,726 58,590 60,211 60,112 61,129 62,748 64,684 65,916 50,207 49,088 51,023 53,074 53,560 54, ,471 55,083 57,243 57,824 57,103 58,899 60,703 60,485 61,876 63,062 65,176 66,388 50,951 49,173 51,563 52,863 53,440 54,858 53,421 55,376 57,386 58,151 57,257 59,235 60,934 61,041 62,048 63,393 65,087 67,053 51,446 49,184 51,934 53,602 53,728 55,226 53,574 56,290 57,806 58,469 57,559 59,868 60,882 60,992 62,272 63,809 65,5 67,966 51,744 50,548 53,347 54,014 54,392 55,603 54,414 56,879 58,348 58,678 57,885 59,982 60,994 61,170 62,795 64,036 65,687 67,949 50,985 50,566 52,818 53,328 54,088 54,790 53,883 56,185 57,808 58,518 57,846 59,473 60,637 60,607 62,341 63,516 64,872 66,842 50,979 50,666 52,649 53,582 53,984 55,035 54,303 56,593 58,217 58,601 58,359 60,027 60,633 61,127 62,628 63,870 65,258 67,402 51,341 51,051 53,062 53,698 54,006 54,908 54,954 57,169 58,3 58,475 58,365 59,456 60,955 61,320 62,289 63,868 65,510 67,850 51,427 51,124 53,316 54,036 55,176 54,565 54,795 57,537 58,609 58,363 58,493 60,263 60,479 61,232 62,623 63,863 65,856 68,276 67,198 67,438 68,056 68,523 69,334 70,076 70,359 69,062 69,630 70,180 70,239 ORIGINAL OATA UNEMPLOYMENT ,351 2,995 4,648 2,649 2,258 2,2 3,561 3,669 3,066 3,206 4,464 4,678 4,119 5,335 4,621 4,627 4,518 3,942 2,807 3,474 4,791 2,538 2,340 1,964 3,983 3,569 3,092 3,085 5,116 4,698 3,886 5,654 4,481 4,870 4,461 4,172 2,646 3,383 4,3 2,323 2, ,037 3,297 3,095 2,822 5,155 4,298 4,164 5,423 4,323 4,442 4,225 3,699 2,407 3,277 3,665 1,938 1,836 1,764 3,846 3,162 2,710 2,627 5,064 3,558 3,607 4,887 3,863 3,993 3,831 3,492 2,014 3,516 3,263 1,770 1,782 1,536 3,658 2,690 2,799 2,635 4,832 3,327 3,380 4,671 3,592 3,949 3,528 3,214 2*408 3,966 3,551 2,2 2,0 32 1,732 3,681 2,893 3,179 3,1 5,223 3,780 4,172 5,3 4,219 4,554 4,453 4,057 2,411 4,388 3,316 2,072 2,085 1,710 3,679 2,662 2,984 2,843 5,098 3,605 3,884 4,961 3,829 4,140 3,675 3,429 2,238 3,956 2,6 1,806 1,918 1,512 3,470 2,536 2,467 2,526 4,607 3,347 3,711 4,440 3,842 3,755 3,551 3,165 2,061 3,635 2,490 1,886 1,728 1,619 3,433 2,338 2,273 2,503 4,058 3,195 3,315 4,034 3,455 3,470 3,262 2,842 1,747 3,788 2,055 1,754 1,480 1,572 2,929 2,284 2,091 2,465 3,750 3,231 3,537 3,863 3,234 3,394 3,198 2,709 2,033 3,570 2,356 It $90 1,594?;oi7 3,115 2,536 2,599 3,127 3,785 3,636 3,967 3,941 3,726 3,858 3,318 2*888 2,205 3,690 2,409 1,796 1,545 2,634 3,009 2*601 2,660 3,332 4,068 3,521 4,470 4,041 3,760 3,788 3,409 2,786 3,228 3,103 2,986 2,728 2,793 3,050 2,820 2,503 2,465 2,578 2,655 Digitized for FRASER

8 HOUSEHOLD DATA JANo CIVILIAN LABOR FORCE BOTH SEXES 1619 YEARS MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC. HRIGINAL DATA i a 48!<? * < I ,912 3,808 3,755 3,593 3, , ,800 3,724 3,629 3,841 4,025 4,214 4,15C 4,235 4,445 4,604 5,520 4,038 3,906 3,806 3,586 3,624 3,751 3,701 3,374 3,750 3,725 3,707 3,830 4,100 4,209 4,219 4,299 4,571 4,722 5,434 4,093 3,959 3,686 3,756 3,600 3,740 3,727 3,415 3,704 3,792 3,693 3,866 4,100 4,309 4,331 4,333 4,619 4,826 5,514 4,4 3,926 3,763 3,643 3,662 3,780 3,730 3,596 3,776 3,851 3,843 4,074 4,419 4,342 4,423 4,600 4,760 5,231 5,874 4,035 4,0 3,912 3,878 3,886 3,723 3,768 3,762 4,1 3,995 4,099 4,172 4,626 4,592 4,772 5,038 5,193 5,612 6,119 5,300 4,924 4,881 4,649 4,822 4,686 4,526 4,660 5,274 5,188 5,126 5,475 6,252 6,315 6,220 6,803 7,095 8,2 5,538 5,220. 5,166 5,124 5,030 4,933 4,927 5,118 5,523 5,520 5,391 5,775 6,267 6,460 6,377 6,714 7,010 7,890 8,817 5,265 5,050 5,116 5,038 4,822 4,864 4,754 5,011 5,180 5,046 5,110 5,470 5,890 6,221 6,083 6,352 6,650 7,386 8,368 4,409 4,329 4,268 4,158 4,036 3,956 3,969 4,158 4,218 4,166 4,196 4,420 4,733 4,726 4,712 5,019 5,279 5,763 6,071 4,217 4,109 4,234 4,024 3,888 3,764 3,779 4,2 4,084 4,141 4,188 4,355 4,656 4,664 4,635 5,018 5,117 5,952 6,182 4,127 4,6 4,074 3,890 3,944 3,782 3,674 4,217 4,066 4,082 4,052 4,263 4,561 4,653 4,521 4,860 5,088 5,857 6,283 4,15C 3,963 3,933 3,900 3,821 3,715 3,511 4,207 4,062 4,056 4,091 4,370 4,459 4,5 4,546 4,758 5,123 5,991 6,287 EMPLOYMENT BOTH SEXES 1619 YEARS ORIGINAL DATA C 195l..« < O i ».. 3, 3, 3, 3t 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, ,575 3,432 3,148 3,252 3,274 3,459 3,5 2,947 3,277 3,296 3,121 3,295 3,538 3,451 3,531 3,535 3,858 3,964 3,653 3,472 3,153 3,443 3,302 3,484 3,235 3,036 3,281 3,356 3,2 3,325 3,444 3,555 3,671 3,588 3,864 4,085 3,770 3,454 3,350 3,381 3,408 3,540 3,274 3,246 3,398 3,454 3,225 3,495 3,815 3,639 3,759 3,820 3,929 4,358 3,757 3,588 3,406 3,625 3,544 3,485 3,257 3,338 3,599 3,511 3,396 3,544 3,941 3,8 4,035 3,999 4,228 4,658 4,592 3,986 4,037 4,080 4,234 4,200 3,828 3,924 4,317 4,290 3,981 4,364 4,934 4,818 4,979 4,833 5,157 5,506 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, ,907 5, 5, 5, 5, 5, 6, ,839 4,412 4,666 4,698 4,488 4,578 4,214 4,550 4,759 4,576 4,447 4,758 5,161 5,365 5,398 5,551 5,793 6,605 4,074 3,764 3,862 3,854 3,724 3,707 3,496 3,757 3,868 3,776 3,553 3,858 4,140 3,981 4,122 4,257 4,558 5,026 3,961 3,629 3,911 3,796 3,640 3,486 3,424 3,777 3,760 3,784 3,643 3,791 4,035 4,000 4,076 4,293 4,433 5,229 3,81C 3,639 3,742 3,574 3,666 3,497 3,306 3,777 3,6 3,596 3,474 3,674 3,941 3,953 3,826 4,043 4,329 5,117 3,843 3,421 3,551 3,634 3,553 3,318 3,110 3,792 3,712 3,585 3,543 3,766 3,801 3,894 3,967 4,066 4,356 5,292 4,818 4,800 4,816 5,086 5,147 6,609 7,669 7,584 5, *971 5,624 ORIGINAL DATA NONAGRICULTURAL EMPLOYMENT BOTH SEXES 1619 YEARS 2,959 2,844 2,639 2,823 2,790 2,885 2,825 2,644 3,020 2,971 2,758 2,961 3,081 3,151 3,194 3,278 3,426 3,631 3,099 2,854 2,664 2,827 2,830 3,020 2,754 2,598 2,948 2,963 2,801 2,974 3,210 3,127 3,218 3,241 3,552 3,725 3,141 2,812 2,625 2,963 2,858 3,024 2,8 2,610 2,922 2,965 2,783 2,935 3,2 3,158 3,308 3,278 3,528 3,792 3,3 2,749 2,704 2,834 2,880 3,018 2,837 2,745 2,939 2,963 2,753 2,986 3,3 3,249 3,355 3,426 3,551 3,964 3,073 2,700 2,653 2,972 2,916 2,926 2,678 2,750 2,998 2,903 2,859 2,945 3,393 3,306 3,602 3,550 3,757 4,160 3,520 2,845 3,041 3,284 3,294 3,287 2,963 3,063 3,497 3,403 3,192 3,473 4,022 3,959 4,212 4,115 4,417 4,806 3,877 3,231 3,578 3,726 3,694 3,658 3,368 3,730 4,018 3,976 3,649 4,119 4,469 4,494 4,715 4,760 5,220 5,977 3,940 3,479 3,761 3,864 3,762 3,758 3,421 3,756 3,978 3,885 3,768 4,053 4,351 4,560 4,681 4,881 5,129 5,971 3,201 3,026 3,107 3,100 2,904 2,947 2,749 3,107 3,140 3,217 2,994 3,292 3,468 3,414 3,579 3,754 4,025 4,587 3,186 2,987 3,066 3,054 2,908 2,836 2,7 3,4 3,144 3,186 3,080 3,289 3,434 3,429 3,571 3,786 3,947 4,761 3,122 2,975 3,072 2,980 3,064 2,933 2,794 3,232 3,168 3,193 3,039 3,251 3,449 3,5 3,451 3,668 3,966 4,771 3,257 2,868 3,073 3,128 3,111 2,914 2,775 3,402 3,410 3,221 3,192 3,429 3,434 3,595 3,667 3,792 4,114 5,022 4,569 4,536 4,696 5,914 7,0 6,944 5,009 5,111 5,377 Digitized for FRASER

9 HOUSEHOLD DATA ORIGINAL DATA JAN * FEB AGRICULTURAL EMPLOYMENT BOTH SEXES 1619 YEARS MAR. APR. MAY JUNE JULY AUG. SEPT * ,072 1, ,049 1, OCT NOV DEC UNEMPLOYMENT BOTH SEXES 1619 YEARS ORIGINAL DATA I , ,145 1,111 1,318 1,497 1, 241 1,593 1,646 1, , , ,217 1,033 1, ,604 1, Digitized for FRASER

10 JAN. FEB. UNEMPLOYMENT RATE 16 YEARS AND OVER MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC. ORIGINAL DATA I , *3 ORIGINAL DATA I UNEMPLOYMENT RATE BOTH SEXES 1619 YEARS * UNEMPLOYMENT RATE MALES 16 YEARS AND OVER ORIGINAL OATA i C I * *7 6 6 Digitized for FRASER

11 HOUSEHOLD DATA ORIGINAL DATA O ^ «66 JAN. FEB. UNEMPLOYMENT RATE MALES 1619 YEARS MAR. APR. MAY JUNE JULY AUG. SEPT. OCT NOV. 10 DEC , UNEMPLOYMENT RATE FEMALES 16 YEARS AND OVER ORIGINAL DATA * *2 ORIGINAL OATA C I UNEMPLOYMENT RATE FEMALE 1619 YEARS Digitized for FRASER

12 HOUSEHOLD DATA ORIGINAL DATA JAN. UNEMPLOYMENT RATE WHITE WORKERS 16 YEARS AND OVER FEB. MAR. APR. MAY JUNE JULY AUG. OCT. NOV. DEC UNEMPLOYMENT RATE WHITE WORKERS 1619 YEARS ORIGINAL DATA * I UNEMPLOYMENT RATE NONWHITE WORKERS 16 YEARS AND OVER ORIGINAL DATA UNEMPLOYMENT RATE NONWHITE WORKERS 1619 YEARS ORIGINAL DATA Digitized for FRASER

13 HOUSEHOLD DATA ORIGINAL DATA ,702 FEB. 1,951 2,008 1,905 1L22 1,737 1,780 1,824 ],8 1,808 1L,814 1,9 1L,976 1,792 1L,756 1,685 3L,669 1,927 11,869 1,730 3L11 1,705 ] L,707 1,790 ] L,847 1,935 2,026 1,931 1L,902 1,904 3L,974 1,943 3L00 2,027 2,116 2,171 2,296 MAR. 2,078 1,914 1,856 1,937 1,878 1,995 1,795 1,774 1,926 1,872 1,735 1,903 1,912 1,931 2,052 1,967 2,140 2,324 EMPLOYMENT MALES 1619 YEARS APR, MAY JUNE JULY AUG. SEPT. OCT. NOV. 2,254 2,0 1,976 1,928 1,916 2,087 1,871 1,945 1,954 1,978 1,842 2,038 2,239 2,019 2,169 2,184 2,285 2,583 2,232 2,066 1,989 2,101 2,022 2,009 1,919 1,995 2,127 2,041 1,918 2,129 2,281 2,260 2,358 2,285 2,522 2,795 2,718 2,355 "2,445 2,405 2,402 2,432 2,290 2,364 2,571 2,562 2,341 2,652 2,882 2,908 2,912 2,904 3,126 3,363 2,946 2,616 2,793 2,670 2,628 2,649 2,527 2,672 2,799 2,811 2,602 2,896 3,117 3,140 3,191 3,214 3,578 4,069 2,938 2,580 2,886 2,778 2,654 2,650 2,493 2,623 2,723 2,625 2,546 2,722 3,040 3,115 3,044 3,232 3,410 3,948 2,399 2,171 2,331 2,244 2,114 2,051 1,944 2,116 2,154 2,047 1,980 2,189 2,361 2,229 2,325 2,408 2,604 2,863 2,295 2,010 2,278 2,122 2,088 1,970 1,891 2,126 2,061 2,045 2,003 2,114 2,238 2,179 2,245 2,380 2,516 2,927 2,177 2,052 2,152 2,002 2,046 2,031 1,842 2,5 1,948 1,947 1,906 2,060 2,242 2,126 2,049 2,263 2,362 2,828 2,707 2,728 2,988 3,001 4,007 4,544 4,410 3,011 3,027 2,986 DEC. 2,6 1,886 2,007 2,046 1,902 1,866 1,696 2,032 1,911 1,904 1,860 2,039 2,050 2,029 2,117 2,193 2,360 2,852 2,912 EMPLOYMENT FEMALES 1619 YEARS ORIGINAL DATA * ,567 1,459 1,355 1,421 1,424 1,432 1,377 1,329 1,443 1,538 1,375 1,489 1,485 1,550 1,579 1,628 1,681 1,678 1,567 1,510 1,368 1,439 1,460 1,483 1,379 1,278 1,408 1,485 1,414 1,448 1,512 1,549 1,557 1,635 1,742 1,668 1,575 1,558 1,297 1,506 1,424 1,489 1,440 1,262 1,355 1,484 1,397 1,422 1,532 1,624 1,619 1,621 1,724 1,761 1,516 1,441 1,374 1,453 1,492 1,453 1,403 1,301 1,444 1,476 1,383 1,457 1,576 1,620 1,590 1,636 1,644 1,775 1,525 1,522 1,417 1,524 1,522 1,476 1,338 1,343 1,472 1,470 1,478 1,415 1, 660 1,553 1,677 1,714 1,706 1,863 1,874 1,631 1,592 1,675 1,832 1,768 1,538 1,560 1,746 1,728 1,640 1,712 2,052 1,910 2,067 1,929 2,031 2,143 1,980 1,770 1,721 1,958 1,920 1,892 1,723 1,877 2,066 2,026 1,784 2,011 2,261 2,193 2,298 2,283 2,399 2,676 1,901 1,832 1,780 1,920 1,834 1,928 1,721 1,927 2,036 1,951 1,901 2,036 2,121 2,250 2,354 2,319 2,383 2,657 1,675 1,593 1,531 1,610 1,610 1,656 1,552 1,641 1,714 1,729 1,573 1,669 1,779 1,752 1,797 1,849 1,954 2,163 1,666 1, ,674 1,552 1,516 1,533 1,651 1,699 1,739 1,640 1,677 1,797 1,821 1,831 1,9 1,917 2,302 1,633 1,587 1,590 1,572 1,620 1,466 1,464 1,642 1,665 1,649 1,568 1,614 1,699 1,827 1,777 1,780 1,967 2,289 1,707 1,535 1,544 1,588 1,651 1,452 1,414 1,760 1,801 1,681 1,683 1,727 1,751 1,865 1,850 1,873 1,996 2,440 2,116 2,093 2,088 2,602 2,384 2,495 2,586 2,712 ORIGINAL DATA EMPLOYMENT WHITE WORKERS 16 YEARS AND OVER ,712 53,230 53,318 53,490 53,759 54,7 54,392 54,687 54,330 54,722 54,678 54, ,471 53,558 53,858 54,819 55,491 56,098 57,078 57,455 56,879 57,399 57,071 56, ,852 55,764 55,535 56,189 55,867 56,642 56,6 56,914 57,392 57,395 58,029 58,288 58,341 58,908 58,426 58,342 57,982 57,971 58,239 58,322 57,724 57,588 57,219 57, ,404 55,860 55,259 55,925 55,441 56,748 55,840 57,653 56,619 58,254 57,063 59,029 57,274 59,388 57,520 59,160 57,063 58,524 57,616 59,021 57,264 58,143 57,003 58, ,926 57,384 57,253 58,625 59,334 60,069 60,100 59,896 59,489 59,248 59,324 58, ,287 57,384 58,1 58,350 58,973 60,148 59,934 60,066 58,969 59,521 59,374 58, ,714 58,184 58,678 59,185 59,959 60,687 60,676 60,959 60,311 60,447 59,906 59, ,403 58,790 59,459 60,144 60,737 61,581 61,967 61,750 61,167 61,531 61,200 60, ,620 60,155 60,614 61,698 62,475 62,864 63,408 63,243 62,157 62,403 62,254 62, ,077 61,522 62,069 62,706 63,598 64,490 65,302 64,871 63,520 64,115 63,988 64,086 62,820 63,087 63,492 64,228 64,803 66,057 66,584 66,649 65,155 65,652 65,976 65,733

14 ORIGINAL DATA I JAN. FEB. EMPLOYMENT WHITE WORKERS 1619 YEARS MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC. 2,833 2,693 2,995 2,948 2,776 2,987 3,106 3,185 3,143 3,252 3,347 3,494 4,387 2,814 2,651 2,879 2,987 2,817 3,017 3,192 3,8 3,177 3,217 3,461 3,607 4,343 2,894 2,700 2,906 3,005 2,804 3,019 3,126 3,240 3,326 3,247 3,504 3,717 4,397 2,9 2,880 3,005 3,063 2,879 3,162 3,439 3,285 3,401 3,464 3,559 3,961 4,611 2,844 2,939 3,129 3,071 3,025 3,179 3,561 3,403 3,629 3,618 3,819 4,216 4,701 3,353 3,450 3,804 3,790 3,531 3,915 4,383 4,309 4,433 4,350 4,644 4,948 5,966 3,823 4,078 4,358 4,329 3,946 4,469 4,846 4,827 4,953 5,007 5,444 6,075 6,938 3,773 4,090 4,265 4,4 4,028 4,346 4,651 4,850 4,890 5,055 5,280 5,971 6,835 2,997 3,278 3,404 3,340 3,164 3,487 3,601 3,497 3,698 3,816 4,073 4,549 4,845 2,959 3,283 3,332 3,360 3,239 3,408 3,561 3,514 3,608 3,847 3,938 4,718 4,987 2,932 3,298 3,244 3,2 3,142 3,288 3,489 3,549 3,431 3,648 3,891 4,652 5,021 2,809 3,355 3,339 3,241 3,246 3,426 3,449 3,519 3,598 3,681 3,950 4,829 5,090 EMPLOYMENT NONWHITE WORKERS 16 YEARS AND OVER ORIGINAL DATA ,933 5,884 6,201 6,195 6,108 6,192 6,445 6,506 6,501 6,761 6,849 7,159 7,520 5,830 5,784 6,238 6,3 6,007 6,094 6,484 6,485 6,688 6,728 7,042 7,169 7,588 5,803 5,984 6,307 6,481 6,118 6,342 6,353 6,572 6,744 6,868 7,081 7,315 7,593 6,048 6,045 6,385 6,599 6,277 6,587 6,826 6,608 6,770 7,095 7,248 7,514 7,848 6,259 6,288 6,655 6,822 6,476 6,785 7,008 6,857 7,106 7,242 7,477 7,702 7,816 6,355 6,476 6,679 6,843 6,590 6,895 7,220 7,002 7,164 7,260 7,584 7,788 7,980 6,3 6,419 6,602 6,821 6,534 6,802 7,142 6,978 7,171 7,256 7,432 7,790 8,071 6,172 6,426 6,663 6,699 6,497 6,737 7,110 6,959 7,6 7,303 7,431 7,823 8,016 6,622 6,798 6,866 6,802 6,702 6,887 7,403 7,069 7,309 7,399 7,691 7,889 8,095 6,487 6,746 6,834 6,790 6,864 6,869 7,316 7,265 7,403 7,432 7,742 7,996 8,090 6,224 6,769 6,586 6,545 6,623 6,733 7,072 6,972 7,9 7,273 7,638 7,838 8,018 5,957 6,464 6,395 6,341 6,286 6,562 6,739 6,719 6,907 7,063 7,380 7, 732 7,866 ORIGINAL DATA ORIGINAL DATA tlif J *6 ORIGINAL DATA 1*1* * ms S ?** 35TI G * EMPLOYMENT NONFARM LABORERS EMPLOYMENT NONWHITE WORKERS 1619 YEARS * ** H T * EMPLOYMENT SALES WORKERS m ? A.R U T T in * *2 335C ? ? Digitized for FRASER

15 HOUSEHOLD DATA EMPLOYMENT SERVICE WORKERS FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC. ORIGINAL DATA I96C ,168 7,397 7,703 7,943 8,125 8,432 8,478 8,508 8, ,050 7,333 7,553 7,693 8,034 8,171 8,424 8,677 8,766 8,752 7,398 7,609 7,829 7,964 8,346 8,365 8,816 8,952 8,781 7,447 7,649 7,915 8,6 8,358 8,329 8,880 9,209 8,870 7,682 7,899 7,896 8,196 8,481 8,479 9,065 9,323 9,076 7,427 7,659 7,697 8,117 8,447 8,497 8,858 9,229 8,986 7,529 7,776 7,967 8,298 8,440 8,558 9,010 9,090 9,362 7,491 7, 629 7,879 8,203 8,400 8,623 8,932 9,170 9,248 7,448 7,478 7, 503 8,097 8,295 8,336 8,5 8,896 9,077 7,611 7,532 7,965 8,199 8,427 8,577 8,688 8,919 9,267 7,431 7,481 7,772 8,272 8,491 8,650 8,682 8,939 9,286 9,210 9,195 9,169 9,3 9,310 9,591 9,464 9,254 9,499 9,595 7,409 7,590 8,157 8,339 8,527 8,701 8,652 8,889 9,341 9,557 EMPLOYMENT FARMERS AND FARM LABORERS ORIGINAL DATA 1957.,.*** * G » < » ,633 4,591 4,391 4,218 4,286 4,057 3,850 3,649 3,416 4,578 4,487 4,366 4,172 4,333 4,153 3,688 3,571 3,478 4, 824 4, 686 4, 809 4, 031 4, 597 4, 378 3, 943 3, 652 3, 618 5,348 5,161 5,407 4,850 4,605 4,533 4,198 3,953 4,006 6,261 5,801 5,873 5,149 5,127 4,917 4,631 4,484 4,634 7,022 6,288 6,533 5,907 5,975 5,583 5,253 5,096 4,975 7, 140 6, 3 6, 079 5, 959 5, 766 5, 390 5, 192 5, C70 4, 895 6, 834 6, 038 5, 653 5, 534 5, 658 5, 029 4, 800 4, 705 4, 514 6,359 5,774 5,682 5,959 5,175 5,049 4,752 4,736 4,239 6,315 5,941 5,546 5,674 5,395 4,950 4,778 4,620 4,411 5,549 5,232 5,108 5,155 4,690 4,462 4,307 4,144 3,697 4,8 4,553 4,473 4,526 4,009 3,728 3,626 3,464 3,281 3,186 3,227 3,387 3,726 3,829 4,469 4,290 4,064 3,859 3,799 3,556 3,082 ORIGIHAL DATA UNEMPLOYMENT MALES 1619 YEARS 194* f , , 349! 328! < «. 1954,( « i j. 1957,. 1958,. 1959, ! ^ ; ! I 965 \...,., i i ! 391; ! 463: ! 475J i i ORIGINAL OATA UNEMPLOYMENT FEMALES 1619 YEARS ' ;

16 HOUSEHOLD DATA ORIGINAL DATA 1954.** JAN. 2,954 2,970 2,410 2,569 3,619 3,716 3,269 4,293 3,618 3,643 3,575 3,118 2,573 FEB. 3,242 2,758 2,474 2,491 4,049 3,718 3,085 4,508 3,497 3,837 3,583 3,331 2,487 UNEMPLOYMENT MAR. APR. 3, ,653 2,495 2,281 4,0 3,370 3,292 4,367 3,362 3,5 3,408 2,969 2,357 2,545 2,158 2,119 4,056 2,842 2,840 3,904 2,933 3,201 3,075 2,854 2,180 WHITE WORKERS 1S~YEARS AND OVER MAY JUNE JULY AUG. 2,977 2,965 2,951 2,794 2,8 2,206 2,105 3,885 2,609 2,682 3,708 2,810 3,117 2,809 2,651 2,245 2,358 2,462 2,486 4,211 2,998 3,332 4,257 3,309 3,577 3,295 2,848 2,110 2,301 2,235 4,065 2,779 3,058 3,942 2,952 3,251 2,793 2,622 2,305 1,894 1,833 1,977 3,658 2,540 2,933 3,437 2,938 2,9 2,726 2,5 2,103 SEPT. 2,794 1,818 1,746 1,990 3,257 2,545 2,707 3,185 2,758 2,728 2,571 2,258 1,955 OCT. 2,331 1,774 1,644 1,984 3,006 2,548 2,866 3,044 2,591 2,659 2,553 2,175 1,942 NOV. 2,434 1,949 2,049 2,500 3,024 2,938 3,141 3,1 2,937 2,996 2,614 2,272 2,003 DEC. 2,360 2,056 2,126 2,716 3,192 2,744 3,561 3,157 2,909 3,014 2,702 2,232 2,044 UNEMPLOYMENT WHITE WORKERS 1619 YEARS ORIGINAL DATA 1954, I ,116 1,243 1,066 1,312 1,369 1,320 1, UNEMPLOYMENT NONWHTTE WORKERS 16 YEARS AND OVER ORIGINAL DATA , 045 1, , , , , , , , , , , , UNEMPLOYMENT NONWHITE WORKERS 1619 YEARS ORIGINAL DATA *, Digitized for FRASER

17 REVISED SEASONALLY ADJUSTED LABOR FORCE SERIES Contents PAGE SUMMARY EMPLOYMENT AND UNEMPLOYMENT ESTIMATES Total Labor Force. 19 Civilian Labor Force 19 Total Employment 19 Nonagricultural Employment 20 Agricultural Employment r 20 Unemployment., RATES OF UNEMPLOYMENT Unemployment Rate 16 Years and Over 21 Unemployment Rate Married Men. 21 Unemployment Rate Both Sexes 1619 Years. 21 Unemployment Rate Both Sexes 2024 Years 22 Unemployment Rate Both Sexes 25 Years and Over.. 22 Unemployment Rate Both Sexes Years 22 Unemployment Rate Both Sexes 55 Years and Over 23 Unemployment Rate Males 1619 Years 23 Unemployment Rate Males 2024 Years 23 Unemployment Rate Males 25 Years and Over 24 Unemployment Rate Males Years 24 Unemployment Rate Males 55 Years and Over Unemployment Rate Females 1619 Years 25 Unemployment Rate Females 2024 Years 25 Unemployment Rate Females 25 Years and Over 25 Unemployment Rate Females Years 26 Unemployment Rate Females 55 Years and Over. 26 Unemployment Rate White Workers 16 Years and Over., 27 Unemployment Rate White Males 20 Years and Over 27 Unemployment Rate White Female s 20 Years and Over «27 Unemployment Rate White Workers 1619 Years 27 Unemployment Rate Nonwhite Workers 16 Years and Over 27 Unemployment Rate Nonwhite Males 20 Years and Over 28 Unemployment Rate Nonwhite Females 20 Years and Over 28 Unemployment Rate Nonwhite Workers 1619 Years 28 Unemployment Rate WhiteCollar Workers 28 Unemployment Rate Professional and Technical Workers 28 Unemployment Rate Managers, Officials, and Proprietors. 29 Unemployment Rate Clerical Workers 29 Unemployment Rate Sales Workers 29 Unemployment Rate BlueCollar Workers 29 Unemployment Rate Craftsmen and Foremen 29 Unemployment Rate Operatives 30 Unemployment Rate Nonfarm Laborers 30 Unemployment Rate Service Workers 30 Unemployment Rate Private Wage and Salary Workers 30 Unemployment Rate Private Wage and Salary Workers in Construction 31 Unemployment Rate Private Wage and Salary Workers in Manufacturing 31 Unemployment Rate Private Wage and Salary Workers in Durable Goods 31 Unemployment Rate Private Wage and Salary Workers in Nondurable Goods 32 Unemployment Rate Private Wage and Salary Workers in Transportation and Public Utilities 32 Unemployment Rate Private Wage and Salary Workers in Wholesale and Retail Trade. 32 Unemployment Rate Private Wage and Salary Workers in Service 33 Unemployment Rate Private Wage and Salary Workers in Finance 33 Unemployment Rate Government Wage and Salary Workers 33 Unemployment Rate Agricultural Wage and Salary Worker s O 67

18 CONTENTSContinued PAGE EMPLOYED PERSONS BY SEX, AGE, AND OCCUPATION Employed Both Sexes 1619 Years. 34 Employed Both Sexes 25 Years and Over 34 Employed Both Sexes 2554 Years Employed Both Sexes 55 Years and Over 35 Employed Males 1619 Years. 35 Employed Males 20 Years and Over.. 36 Employed Males 25 Years and Over, 36 Employed Males Years 0 36 Employed Males 55 Years and Over 37 Employed Females 1619 Years 37 Employed Females 20 Years and Over 37 Employed Females 25 Years and Over 38 Employed Females 2554 Years 38 Employed Females 55 Years and Over 38 Employed WhiteCollar Workers.. 39 Employed Professional and Technical Workers 39 Employed Managers, Officials, and Proprietors... «39 Employed Clerical Workers. 39 Employed Sales Workers. 40 Employed BlueCollar Workers 40 Employed Craftsmen and Foremen # 40 Employed Operative s,, 40 Employed Nonfarm Laborers Employed Service Workers 41 Employed Farmers and Farm Laborers 41 All data are rounded to the nearest thousand.

19 HOUSEHOLD DATA SEASONALLY ADJUSTED SEASONALLY ADJUSTED JAN. 61,336 62,239 63,069 64,186 65,743 66,981 66,553 67,1 69,335 69,245 &,742 7C,533 71,488 72,980 73,038 73,917 75,173 76,412 FEB. 61,750 62,565 63,053 64,333 65,809 67,063 67,408 66,925 69,030 69,694 69,844 70,237 71,469 72,953 73,307 74,026 75,475 76,646 MAR. 61,306 62,564 62,950 65,157 65,209 67,202 67,187 67,068 69,069 69,729 69,871 70,645 70,922 73,232 73,286 74,187 75,436 76,691 APR. 61,9 62,499 63,488 64,596 65,237 66,695 67,309 67,698 69,143 69,465 70,301 70,909 72,091 72,791 73,154 74,421 75,968 76,863 HAY 61,210 62,728 63,403 64,969 65,578 66,148 67,036 67,445 69,587 69,515 70,515 70,727 72,3 72,963 73,390 74,481 75,970 76,924 TOTAL LABOR FORCE JUNE 62,218 62,416 63,730 64,632 65,597 66,619 66,686 67,478 69,546 69,871 70,306 70,818 72,414 73,390 73,329 74,376 75,812 77,162 JULY 62,474 62,764 63,436 65,201 65,428 66,647 66,631 68,109 69,588 70,159 70,455 71,077 72,253 73,048 73,157 74,679 75,752 77,494 AUG. 62,1 63,058 63,933 65,090 65,338 66,406 67,041 68,550 69,514 69,545 70,673 70,973 72,328 73,057 73,843 74,525 75,868 77,286 SEPT. 62,181 63,092 63,802 64,990 65,925 66,302 67,531 68,597 69,577 69,883 70,641 71,079 72,668 72,763 73,905 74,904 76,079 77,206 OCT. 62,037 63,630 64,162 65,414 65,391 66,417 67,244 68,779 69,371 69,854 70,676 71,342 72,405 73,102 73,640 74,970 75,973 77,464 NOV. 62,116 63,441 64,227 65,272 65,891 66,469 67,044 68,995 69,486 69,852 70,283 71,063 72,980 73,156 73,625 75,180 75,985 77,564 DEC. 62,622 63,338 64,204 65,742 66,208 66,287 66,617 69,396 69,524 70,087 70,396 71,530 72,928 72,911 73,683 74,970 76,290 78,036 78,245 78,050 78,091 78,349 78,194 78,767 78^905 79,247 79,268 79,360 79,934 80,154 78,893 AV6. 62,080 62,903 63,858 65,117 65,730 66,560 66,993 68,072 69,409 69,729 70,275 70,921 72,142 73,031 73,442 74,571 75,830 77,178 SEASONALLY ADJUSTED , ,. 60, , , * , , , , , , ,936 I , ** * , * , ,355 60,524 61,057 61,687 61,778 62,419 63,520 63,994 63,696 66,124 66,877 67,200 67,646 68,948 70,419 70,421 71,302 72,743 73,942 60,070 61*073 61*604 62,526 61,721 63,657 63,794 63,882 66,176 66,9 67,223 68*066 68*402 70*703 70*401 71,455 72*693 73,988 60,677 61,007 62*158 61*806 61*721 63* *564 66*264 66* *685 73*223 74*177 CIVILIAN LABOR FORCE HAY JUNE JULY 59 *972 61,259 62*083 62,044 62*058 62,615 63*675 64*361 66,722 66*6*5 67*877 68*177 69*629 70* *744 73*222 74,240 60,957 60,948 62*419 61*615 62*103 63*063 63* *702 67*052 67,675 68,280 69,917 70,886 70,473 71,640 73,068 74*4*2 61*181 61*301 62*121 62*106 61,962 63*057 63*301 65*145 66*752 67*336 67*824 68*540 69*744 70*534 70*302 71,935 73,012 74,801 60,808 61,590 62,596 61*927 61*877 62*816 63* ,673 66, ,776 73,117 74,593 60, *349 61,780 62*457 62,727 64*209 65*626 66,751 67*064 68*006 68*547 70*151 70, *336 74*483 60,848 62*185 62*428 62*204 61,971 62,867 63*936 65,821 66*548 67*068 68*044 68*816 69*682 70,516 70*904 72,228 73,236 74*704 60,702 62*005 62,266 62,014 62,490 62,949 63,759 66*037 66*657 67,123 67,656 68*534 70* *875 72*441 73,254 74*769 61*169 61,908 62,068 62*457 62*621 62*795 63,332 66*450 66*698 67,399 67*776 68*998 70*398 70*096 70*919 72,230 73*564 75*195 60,621 61,206 62,208 62,017 62,8 63,015 63,643 65,023 66,552 66,929 67,639 68,369 69,628 70,459 70,614 71,833 73,091 74,455 75,126 75*117 75*341 75* ,770 76*069 76,039 76,081 76,612 76,764 75,770 SEASONALLY JAN. AOJUSTEO OATA 19* , * * *. 59, , , , , , * * , * * * * * *162 72v610 58*196 58,208 57,751 59,661 60*462 61*884 60*663 60*727 63*518 64,257 62,698 63*685 65*622 65,595 66*558 67*079 68*840 70*236 MAR. 57*671 58*043 57*728 60*401 59*908 62,010 60*186 60*964 63*411 64*404 62,733 64*267 64*677 65,852 66*488 67*397 68,763 70,502 58*291 57,747 58,563 59*889 59,910 61*444 60*185 61,515 63, ,631 64*766 65*959 65*381 66*368 67,638 69,320 70*612 57*654 57*552 58*649 60*188 60*195 61*019 59,908 61,634 63,861 63*965 62,856 64,700 66*061 TOTAL EMPLOYMENT HAY JUNE JUU 65,451 66,664 67,547 69,490 70,852 58*743 57*172 59*052 59*620 60*219 61*456 59*792 61*781 63*820 64,196 62* *149 65,995 66,616 67,642 69,205 71*032 58,968 57,190 59*001 60,156 59,971 61,397 59,643 62,5 63,800 64,540 62*745 65*012 65*909 65*604 66* ,384 71,463 AUG. 58,456 57*397 59,7^ *790 61*151 59*853 62*797 63*972 63*959 63*012 64*844 65* ,960 67*876 69*441 71*316 SEPT. 58,5 57* *7 60*521 60*906 60,282 62*948 64*116 64*121 63*161 64*770 66*265 65*536 67*201 68,188 69,608 71*240 OCT. 56*367 57,269 59,803 60*010 60,2 60*83 60,270 62*991 63*975 64*046 63*474 64,906 65*631 65,932 67,092 68*224 69*466 71,505 NOV. 58*417 58,009 59*697 59*836 60*747 60* , *469 64,529 66*109 66*098 66*851 68* *740 57*845 59,429 60,497 60*954 59*977 60,7 63*689 63*908 63*922 63*587 65*345 65*784 65,926 67,020 68,261 69*933 72*189 72,341 72* * ,893 AVG. 58,341 57,647 58,914 59,957 60,247 61,176 60,107 62,168 63,793 64,071 63,036 64,630 65,778 65,746 66,702 67,762

20 HOUSEHOLD DATA SEASONALLY ADJUSTED NONAGRICTTLTURAL EMPLOYMENT JAN. SEASONALLY ADJUSTED DATA , , , , , , , , , , , , , , , , , , ,266 50,500 50,186 50,694 52,923 53,442 55,421 54,073 54,873 57,061 58,2 57,244 58,256 60,179 60,120 61,257 62,405 64,249 65,863 50,338 50,035 50,612 53,543 53,440 55,590 53,791 54,722 57,190 58,441 57,170 58,590 59,714 60,446 61,321 62,683 64,373 66,150 APR. HAY JUNE JUtV AUG. 50,734 49,836 51,319 53,167 53,384 55,082 54,043 55,152 57,154 58,211 57,029 58,875 60,488 60,341 61,347 62,942 64,854 66,109 5C7 49,485 51,372 53,436 53,861 55,082 53,698 55,307 57,486 57,986 57,209 58,909 60,702 60,354 61,711 62,833 64,920 66,169 51,152 49,370 51,767 53,091 53,690 55,095 53,630 55,538 57,485 58,194 57,221 59,7 60,733 60,774 61,674 62,999 64,647 66,582 51,366 49,169 51,875 53,555 53,637 55,0 53,421 56,075 57,480 58,9 57,220 59,447 60,367 60,455 61,641 63,182 64,784 67,061 50,894 49,793 52,549 53,204 53,616 54,832 53,766 56,222 57,692 58,061 57,339 59,402 60,375 60,482 62,098 63,281 64,866 66,961 SEPT. 50,648 50,287 52,583 53,155 53,984 54,708 53,829 56,129 57,741 58,393 57,728 59,323 60,512 60,517 62,339 63*548 65,008 67,017 50,761 50,455 52,432 53,374 53,769 54,797 54,028 56*263 57,838 58,171 57,912 59,556 60,196 60,731 62,289 63,558 64,986 67,197 50,793 50,512 52,534 53,7 54,239 54,393 54,423 56,602 57,799 57,983 57,897 59,048 60,594 61,008 62,027 63,6 65,261 67,681 50,756 50,466 52,669 53,432 54,593 54, ,102 57,885 58,065 59,883 60,155 60,927 62,357 63,601 65,557 67,950 68,186 68,153 68,343 68,351 68,749 68,920 69,206 69,309 69,420 70,005 69,882 50,711 49,tto 51,752 53,230 53,748 54,915 53,898 55,718 57,507 58,123 57,450 59,065 60,318 60,546 61,759 63,076 64,782 66,726 AGRICULTURAL EMPLOYMENT HAY JUNE JUtV AUG. SEPT. DEC. SEASONALLY AOJUSTEO OATA ,077 7, > 7,065 7,696 8,022 7,057 7,333 8,008 7,li6 7,557 7,911 7,264 7,141 8,067 7,277 7,591 7,802 7,285 7,602 8,021 7,126 7,562 7,604 7,248 7,865 7,297 6,992 7,626 6,814 7,371 7,624 7,497 7,163 7,984 7,379 6,760 7,629 7,656 7, ».. 6,828 > 7, , ,1 6,738 7,020 6,463 6,590 5,854 6,858 6,468 6,420 6,395 6,242 6,722 6,526 6,362 6,142 6,363 6,752 6,334 5,937 6,210 6,327 6,529 6,529 6,361 6,162 6,243 6,601 6,334 6,267 6,222 6,438 6,790 6,174 6,319 6,087 6,575 6,558 6,537 6,198 6,453 6,819 6,636 6,363 6,096 6,242 6,728 6,699 6*508 6,345 5*934 6*655 7,065 6,361 5,929 5,869 6,658 6,726 6,501 6,261 6,206 6,449 > 5,831 ' ,482 6,457 6,125 5,654 5,429 5,443 6,221 5,963 5,563 5,677 4,963 6,460 5,835 5,602 5,893 5,471 6,375 5,999 5,647 5,791 5,359 6,335 6,002 5,510 5,714 5,416 6,320 6,401 5,525 5,565 5,542 6,280 5,898 5,673 5,442 5,519 6,375 5,728 5,453 5,447 5,753 6,7 5*875 5*562 5*350 5,435 5,997 5*686 5*572 5,481 5*515 5,806 6,037 5*522 5*462 5,629 6,283 5,947 5,586 5,565 5, * >.. 5, > 4,321 5,475 5,301 4,674 4,591 4,373 5*406 5,167 4,714 4,390 4,352 5*040 5,021 4,696 4,466 4,503 5,097 4,953 4,714 4,570 4,683 5,221 4,942 4,643 4,558 4,450 5,149 4,840 4,689 4,600 4,402 5,360 4,862 4,595 4,575 4,357 5,019 4,862 4*640 4*600 4,223 5,201 4,803 4,666 4,480 4,308 5*090 4,824 4,684 4,460 4,050 4,999 4,663 4*660 4,376 4,239 5,200 4,944 4,687 4,523 4,361 4,155 4,1 4,199 3,902 3,981 3,926 3,935 3,886 3,779 3,892 4,011 3,97* JAN. SEASONALLY AOJUSTEO DATA FEB. APR. UNEMPLOYMENT HAY JUNE JULY AUG. SEPT. OCT. NOV t0iH 2,596 4,026 2,328 2,849 3,936 2,399 3,030 3,876 2,386 3,260 3,575 2,116 3,707 3,434 2,214 3,776 3,367 2,2 4,111 3,120 2,350 4,193 2,799 2,302 4, *916 2*625 2*285 3*996 2*589 2, *639 2<*SPf 3«t97 3, ,305 1,972 1,839 3,077 3,157 2,117 1,957 1,636 3,331 2,969 2,125 1,8 1,647 3,608 2,918 1,919 1,811 1,723 3,749 3,049 1,856 1,863 1,596 3,767 2,747 1,995 1,884 1,607 3,551 2,701 1,950 1,991 1,660 3,658 2,632 1,933 2,087 1,665 3,854 2, , ,927 2,678 2*194 1,839 1*974 3 * 666 2*830 2*178 1,743 2*211 3,402 2,780 1*960 1*667 2*818 3,195 2,761 2,055 1,883 1,834 3,532 2, I960 2 * 666 2,796 3,875 4,067 3,615 2,606 2,620 4,302 3,961 3,326 2,765 2,509 4,490 3,799 3,725 2,650 2,600 5,016 3,570 3,620 2,861 2,710 5,021 3,477 3,568 2,882 2,856 4,944 3,429 3,768 2,952 2,796 5,079 3,528 3,835 2,701 2,747 5,025 3,592 3,953 2* * ,454 4*187 4* ,790 3,477 4,189 3,653 4,614 2,750 2,859 4,602 3,740 3, ,670 4,075 4,064 4,0 3,543 4,824 3,863 4,223 3,903 3,706 4,851 3,9 4,058 3,930 3,486 4,890 3,901 4,047 3,903 3,565 4,999 3,851 4,197 3,732 3,388 4,891 3,857 3,998 3,863 3,450 4,930 3,821 4,064 3,628 3,338 4,686 4,024 3,900 3,676 3,275 4*680 3*969 3*967 3*728 3, ,004 3,770 3, ,172 3,899 3,969 3,631 3,006 4,714 3,911 4,070 3,786 3,3«*... 2,945 2,799 2,896 2,938 2,924 2,928 2,844 2*882 2,715 2,871

21 HOUSEHOLD DATA SEASONALLY ADJUSTED UNEMPLOYMENT RATE 16 YEARS AND OVER APR MAY JURE JULY AUG SEASONALLY ADJUSTED DATA i» I ,0 6 6 UNEMPLOYMENT RATE MARRIED MEN 1 APR. MAY JUNE JULY AUG. OCT. DEC. AVG. SEASONALLY ADJUSTED DATA I : 1/ The annual average unemployment rates for married men were incorrectly printed in last month's issue. SEASONALLY C ADJUSTEO DATA JAN. FEB. MAR li UNEMPLOYMENT RATE BOTH SEXES 1619 YEARS WKf" JUMP JULY NOV CF li.i

22 HOUSEHOLD DATA SEASONALLY ADJUSTED UNEMPLOYMENT RATE BOTH SEXES 2024 YEARS MAR. APR. MAY JUNE JULY AUG. SEPT. DEC. AVS. SEASONALLY ADJUSTED DATA 1948«.« C , , »«.«* «.'.'.'. e' x *! fif.l * SEASONALLY 1948., 1949, 1950, :..., 1952, 1953, , I , ; JAN. ADJUSTED DATA UNEMPLOYMENT RATE BOTH SEXES 25 YEARS AND OVER APR. MAY JUNE JULY AUG. SEPT. j;i OCT. DEC. AVG. JAN. SEASONALLY ADJUSTED DATA $ UNEMPLOYMENT RATE BOTH SEXES 2554 YEARS MAR. APR. MAY JUNE JULY AUG. DEC* AVG % 3.* 4.J. 4.B 4.H 4.? 4*]fc 3*fi 2.f 2.* Digitized for FRASER

23 HOUSEHOLD DATA SEASONALLY ADJUSTED SEASONALLY AOJUSTEO DATA I UNEMPLOYMENT RATE MAR. APR. MAY BOTH SEXES 55 YEARS AND OVER JUNE JULY AUG. SEPT. NOV. DEC * 3.# 4*3 2^8 2,6 FEB. UNEMPLOYMENT RATE MALES 1619 YEARS APR. MAY JUNE JULY AIM. SEPT. OCT. NOV. AVG. SEASONALLY AOJUSTEO DATA C a * * ,1 8 7,, 11, , JAN. SEASONALLY AOJUSTEO DATA UNEMPLOYMENT RATE MALES 2024 YEARS APR. MAY JUNE JULY' AUC I iol^ C V C 1 8 ' * SEPT OCT NOV *7 5* * * Digitized for FRASER

24 HOUSEHOLD DATA SEASONALLY ADJUSTED UNEMPLOYMENT RATE MALES 25 YEARS AND OVER JAN. VFE6. SEASONALLY ADJUSTED OATA L9't8 L ,/ i<?54 L Q i DEC ii SEASONALLY ADJUSTED DATA G I96C , *.. UNEMPLOYMENT RATE MALES 2554 YEARS MAR. APR. MAY JUNE JULY AUG. 2.a 3,3 5.a *. SEASONALLY ADJUSTED DATA I UNEMPLOYMENT RATE MAR. APR. MAY MALES 55 YEARS AND OVER JUNE JULY AUG. DEC. 3.G 5.Q 4*3 4*7 4,3 4,2 4*A Digitized for FRASER

25 SEASONALLY ADJUSTED CATA HOUSEHOLD SEASONALLY ADJUSTED UNEMPLOYMENT RATE FEMALES 1619 YEARS APR. MAY JUNE JULY AUG. SEPT. DEC. AVC C V CF , 14, ,2,4, JAN. SEASONALLY ADJUSTED OATA G C i965. * UNEMPLOYMENT RATE FEMALES 2024 YEARS APR. fft*f JMMi JULY AUG. SEPT. OCT* DfC T a «f , JAN. SEASONALLY ADJUSTEO DATA UNEMPLOYMENT RATE MAR. APR. MAY FEMALES 25 YEARS AND OVER JUNE JULY AUG. SEPT. AVG. 4,4 4,3 4,7 4,5 Digitized for FRASER

26 HOUSEHOLD DATA SEASONALLY ADJUSTED SEASONALLY ADJUSTED DATA X UNEMPLOYMENT RATE FEMALES 2554 YEARS MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. 4,7 5* ft 5>2 5,1 4»7, UNEMPLOYMENT RATE MAR. APR. MAY FEMALES 55 YEARS AND OVER JUNE JULY AUG. SEPT. SEASONALLY ADJUSTEO DATA I «9J' 3.* 2.«3«i 4.S 2.ifc Digitized for FRASER

27 HOUSEHOLD DATA SEASONALLY ADJUSTED UNEMPLOYMENT RATE WHITE WORKERS 16 YEARS AND OVER SEASONALLY MAR. APR. MAY JUNE JULY AUG. SEPT. 6 NOV. 5,5 AVG. * * UNEMPLOYMENT RATE WHITE MALES 20 YEARS AND OVER JAN. MAR. APR. MAY JUNE JULY AUG. SEPT. DEC* SEASONALLY ADJUSTED DATA I L *7 4*7 4*«3.f SjA 4te4i * * UNEMPLOYMENT RATE WHITE FEMALES 20 YEARS AND OVER MAR. APR. MAY JUNE JULY AUG. SEPT. DEC* SEASONALLY ADJUSTED DATA» 4.* 1961 < > if 4.a 3.S UNEMPLOYMENT RATE WHITE WORKERS 1619 YEARS JAN. MAR. APR. MAY JUNE JULY AUG. SEPT. SEASONALLY ADJUSTED DATA I * U ^ 1M 1 1 UNEMPLOYMENT RATE NONWHITE WORKERS 16 YEARS AND OVER JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. DEC. AVG. SEASONALLY ADJUSTED DATA tf.u

28 HOUSEHOLD DATA SEASONALLY ADJUSTED UNEMPLOYMENT RATE NONWHITE MALES 20 YEARS AND OVER JAN. SEASONALLY ADJUSTED DATA * C 1959* 1 I96C , * O a. 4 X \ 1 10.G 9.2 \ UNEMPLOYMENT RATE NONWHITE FEMALES 20 YEARS AND OVER JAN. FEB. MAR. JULY NOV. DEC* SEASONALLY ADJUSTED DATA I S & I a UNEMPLOYMENT RATE NONWHITE WORKERS 1619 YEARS JAN. MAR. APR. MAY JUNE JULY AUG. SEPT. SEASONALLY ADJUSTED DATA UNEMPLOYMENT RATE WHITECOLLAR WORKERS MAR. APR. MAY JUNE JULY AUG. SEPT. SEASONALLY ADJUSTED DATA I G UNEMPLOYMENT RATE PROFESSIONAL AND TECHNICAL WORKERS JAN. FE&. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. SEASONALLY AOJUSTEO DATA

29 JAN. SEASONALLY ADJUSTED DATA i 1959 i i 1962 IVDJ* ### 1* i.i.. UNEMPLOYMENT JUTE MANAGERS, OFFICIALS, AND PROPRIETORS FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. 8 6 HOUSEHOLD DATA SEASONALLY ADJUSTED UNEMPLOYMENT RATE CLERICAL WORKERS JAN. APR. MAY JUNE JULY AUG. OCT. SEASONALLY ADJUSTED DATA i l5 4.C 3.S 3l8 3^ UNEMPLOYMENT RATE APR. MAY JUNE SALES WORKERS JULY AUG. SEPT. SEASONALLY ADJUSTED DATA I » L ,9 UNEMPLOYMENT RATE BLUECOLLAR WORKERS MAR. APR. MAY JUNE JULY AUG. SEASONALLY ADJUSTED DATA I A , UNEMPLOYMENT RATE MAR. APR. MAY CRAFTSMEN AND FOREMEN JUNE JULY AUG. SEPT. NOV. SEASONALLY ADJUSTEO DATA C

30 HOUSEHOLD DATA SEASONALLY ADJUSTED UNEMPLOYMENT RATE OPERATIVES APR. MAY JUNE JULY AUG. DEC. SEASONALLY ADJUSTEO DATA I i UNEMPLOYMENT RATE NONFARM LABORERS MAR. APR. MAY JUNE JULY AUG. OCT* SEASONALLY ADJUSTED DATA I ' C 16.C C UNEMPLOYMENT RATE SERVICE WORKERS JAN. FEB. APR. MAY JUNE JULY AUG. SEASONALLY ADJUSTED DATA X959. I JAN. UNEMPLOYMENT RATE PRIVATE WAGE AND SALARY WORKERS MAR. APR. MAY JUNE JULY AUG. SEPT. SEASONALLY ADJUSTEO DATA ,7 6

31 HOUSEHOLD DATA SEASONALLY ADJUSTED UNEMPLOYMENT RATE PRIVATE WAGE AND SALARY WORKERS IN CONSTRUCTION FE8 MAR APR MAY JUN JUL AUG SEP OCT NOV AVG SEASONALLY AOJUSTEO DATA I » UNEMPLOYMENT RATE PRIVATE WAGE AND SALARY WORKERS IN MANUFACTURING JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC. SEASONALLY ADJUSTED DATA I G 9 Om 5 ii U G SEASONALLY ADJUSTED DATA I UNEMPLOYMENT RATE PRIVATE WAGE AND SALARY WORKERS IN DURABLE GOODS FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. 6 9 ' a a 4.a

32 HOUSEHOLD DATA SEASONALLY ADJUSTED SEASONALLY ADJUSTED DATA , * I UNEMPLOYMENT RATE PRIVATE WAGE AND SALARY WORKERS IN NONDURABLE GOODS MAR. APR. MAY JUNE JULY AUG. SEPT. AVG ( UNEMPLOYMENT RATE PRIVATE WAGE AND SALARY WORKERS IN TRANSPORTATION AND PUBLIC UTILITIES JAN. SEASONALLY ADJUSTED DATA C JAN. SEASONALLY ADJUSTED DATA I95C i i 2*5 4,6 5*1 5»*, 2*5 UNEMPLOYMENT RATE PRIVATE WAGE AND SALARY WORKERS IN WHOLESALE AND RETAIL TRADE JUNE JULY AUG. SEPT. OCT. APR. MAY NOV G 6 Lz 6 5*0 Digitized for FRASER

33 HOUSEHOLD DATA SEASONALLY ADJUSTED UNEMPLOYMENT RATE PRIVATE WAGE AND SALARY WORKERS IN SERVICE SEASONALLY ADJUSTED DATA ± I960. 4,0 4,5 5, u. UNEMPLOYMENT RATE PRIVATE WAGE AND SALARY WORKERS IN FINANCE JULY AUG. SEPT. SEASONALLY ADJUSTED DATA». i. 1 2»8 2,3. 2,o , * i95*... ; 7 A I > < ? i '» , ,..., 2.C UNEMPLOYMENT RATE FE8. MAR. APR. GOVERNMENT WAGE AND SALARY WORKERS MAY JUNE JULY AUG. SEPT. SEASONALLY ADJUSTED DATA , i i.s *2 I i i Z.I O 67

34 HOUSEHOLD DATA SEASONALLY ADJUSTED UNEMPLOYMENT RATE AGRICULTURAL WAGE AND SALARY WORKERS JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. AV6. SEASONALLY ADJUSTED DATA * I lu.l C EMPLOYED BOTH SEXES 1619 YEARS JAN. E0 DATA FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. npr.. v/r L L o , ,119 3,951 3,600 3,762 3,745 3,862 3,616 3, , ,027 4,091 4«G64 4,211 4,376 4,498 4,095 3,974 3,594 3,709 3,755 4,017 3,602 3,350 3,761 3,801 3,611 3,819 4,126 4,023 4,108 4,117 4,539 4,6 4,092 3,959 3,511 3,831 3,701 3,965 3,667 3,438 3,716 3,838 3,583 3,809 3,965 4, ,152 4,504 4,738 4,3 3,776 3,652 3,659 3,708 3,856 3,557 3,528 3,696 3, ,851 4,208 4,027 4,165 4,248 4,387 4*665 4,003 3,785 3,605 3,855 3,763 3,7 3,466 3,559 3,851 3,754 3,643 3,781 4,208 4,053 4,289 4,252 4, ,8 3,537 3,623 3,714 3,824 3,797 3,422 3,500 3,876 3,812 3,515 3,805 4,325 4,200 4,369 4,2 4,500 4,834 4,0 3,541 3,691 3,775 3,697 3,678 3,399 3,639 3,866 3,806 3,436 3,820 4,162 4,112 4,218 4,202 4,556 5,128 3,952 3,606 3,794 3,821 3,634 3,691 3,403 3,673 3,843 3,696 3,566 3,791 4,076 4,207 4,223 4,321 4,497 5,6 3,982 3,711 3,808 3,793 3,658 3,651 3,447 3,743 3,839 3,792 3,584 3,888 4,169 4,024 4,180 4,334 4,658 5,147 3,909 3,615 3,891 3,781 3, 649 3,502 3,443 3,806 3,786 3,817 3,685 3,847 4,092 4,068 4,161 4,380 4,534 5,347 3, 904 3,727 3,834 3,663 3,749 3,601 3,399 3,899 3,742 3,734 3,627 3,872 4,180 4,191 4,057 4,295 4,597 5,438 4,064 3,637 3,744 3,860 3,762 3,493 CF 3,991 3,857 3,753 3,7 3,972 4,029 4,079 4,180 4,298 4,552 5,527 4C 5,672 5,487 5,844 5,828 5,721 4;,026 3,712 3:,703 3,,767 3,,719 3;,720 3,,475 3,,642 3,,818 3,,778 3,,582 3,,838 4, 129 4, 108 4,,195 4,,255 4,,516 5,,036 EMPLOYED BOTH SEXES 25 YEARS AND OVER SEASONALLY ADJUSTED DATA *922 47,086?O49 47,558 47,5S8 '95C... 47*392 47,501 ;'^l... 49*199 49,309 ; *779 50, *210 52, *... 51*552 52*110 M' ,263 52,204 *<?56 54*523 54*246 L ,298 54, ,123 53,826 '95^... 54*398 54, i,... 55*300 55*406 ;O6l«586 55,356 "62..». 55,7 56, ,212 56,231 J.O64 56*996 57,224 i9t>5»... 58* > *911 58,936 46,818 47,339 47,577 49,893 50, ,546 52*385 54*224 54,878 53,653 54,709 54,677 55,544 56,017 56,491 57,153 58,9 APR* MAY JUNE JULY AUG. SEPT. 47,234 47,247 48,090 49,718 50*551 52,229 51*589 52,775 54,633 53,603 55*029 55,565 55,265 55,843 56,595 57,666 5S,lGi 46,953 47,063 48,355 49,955 50,848 51,929 51,471 52,969 54,486 54, ,693 55*043 55,637 55,204 56*011 56,546 57,738 58,186 47,550 46,958 43,739 49,587 50,771 52,432 51,432 53,154 54,346 54,720 53,650 55,20'. 55,642 55, ,69 57,462 58,434 47,855 46,934 48,598 50,077 50,715 52,463 51,299 53,621 54,389 54,935 53,733 55,295 55,612 55,359 55,894 56,8*5 57,514 58,486 47,520 47,201 49,148 50,034 50,720 52,383 51,485 53,838 54,550 54,604 53,845 55,112 55,696 55,328 56,284 56,749 57,534 58,384 47,544 47, ,924 49,798 51,475 52,150 51,760 53,803 54*638 54,705 53,983 54,950 55,934 55,231 56,494 57,015 57,505 58,437 47,617 47,154 49,035 50*161 *166 52,348 51,824 53,777 54,524 54,641 54,119 55,032 55*394 55,505 56,276 56,991 57,539 58,506 47,659 47,625 49,116 50,115 51,601 52,160 51,947 53*870 54,450 54,399 54,177 54,707 55,807 55,526 56,128 57,099 57,666 58,557 47,895 47,521 48,950 50,629 51,74* 5i»6t>6 51,914 54,187 54,448 54,515 54,225 55,250 55,627 55,563 56,171 56,983 57,818 58,864 58,797 56,870 58*789 58,375 59,056 59,294 59,761 59,593 59,925 59,886 AVG. 47,381 47,280 48,471 49,875 50,964 52,234 51,662 53,259 54,436 54,651 53,883 54,921 55,527 55,406 56,061 56,696 57,486 58,351 59,212

35 HOUSEHOLD DATA SEASONALLY ADJUSTED EMPLOYED BOTH SEXES 2554 YEARS JAN. APR. MAY JUNE JULY AUG. DSC. SEASONALLY ADJUSTED DATA , , , , , , C , , , , ,796 i960 43, , , , , , ,824 37,155 37, ,399 38,967 40,191 41,388 41,072 41,243 42,422 42,922 42,096 42,681 43,475 43,009 43,727 43,885 44,624 45,053 37,085 37,461 37,529 39,290 40,204 41,578 40,736 41,295 42,374 43,068 42,061 43,054 43,073 43,295 43,637 44,054 44,540 45,126 37,316 37,347 37,997 39,218 40,108 41,268 40,725 41,531 42,521 42,955 41,992 43,260 43,571 43,251 43,400 44,165 44,749 45,123 37,126 37,379 38,145 39,386 40,212 40,926 40,579 41,732 42,581 42,931 42,066 43,257 43,649 43,215 43,584 44,118 44,888 45,162 37,559 37,316 38,601 39,014 40,180 41,263 40,556 41,947 42,589 42,942 42,036 43,369 43,637 43,512 43,514 44,174 44,728 45,421 37,944 37,297 38,459 39,599 40,088 41,342 40,472 42,247 42,540 43,187 42,155 43,307 43,575 43,275 43,579 44,206 44,730 45,381 37,535 37,399 38,911 39,461 39,992 41,238 40,439 42,332 42,686 42,949 42,336 43,103 43,609 43,270 43,873 44,145 44,740 45,397 37,819 37,420 38,779 39,375 40,521 41,179 40,650 42,290 42,764 42,955 42,367 42,948 43,744 43,272 43,950 44,245 44,67U 45,263 37,670 37,079 38,876 39,749 40,234 41,258 40,626 42,249 42,756 42,987 42,531 43,051 43,268 43,524 43,941 44,377 44,659 45,397 37,647 37,525 38,886 39,683 40,540 41,416 40,941 42,286 42,680 42,833 42,582 42,831 43,452 43,397 43,856 44,454 44,780 45,544 37,724 37,375 38,689 40,009 40,767 40,983 40,933 42,500 42,635 42,751 42,657 43,259 43,159 43,401 43,031 44,480 44,941 45,752 37,475 37,383 38,307 39,400 40,260 41,262 40,707 41,916 42,603 42,921 42,280 43,078 43,466 43,30i 43,703 44,182 44,709 45,318 45,812 45,720 45,712 45,718 45,698 45,739 45,845 46,119 46,146 46,399 46,541 45,943 EMPLOYED BOTH SEXES 55 YEARS AND OVER JAN. MAR. APR. MAY JUNE JULY AUG. SEPT. SEASONALLY ADJUSTED DATA , , C 1CC44 L , , , , , , , , , S , , , , ,982,147 9,8 9,912 10,077 Iu,319 10,557 10,964 10,949 K*,989 11, ,820 11,706 11,529 11,912 12,316 12,365 12,360 12,628,012 9,771 9,835 10,072 10,619 10,390 11,143 10,853 11,122 11,852 11,870 11,699 11,729 11,727 12,299 12,412 12,457 12,646,027 9,871 9,857 10,077 1U,5O8 10,446 10,985 10,926 11,261 11,877 11,714 11,612 11,774 11,982 11,980 12,429 12,393 12,865 12,918 9,832 9,776 10,212 10,558 10,624 10,917 10,876 11,229 11,929 11,727 11,654 11,824 12,009 12,008 12,448 12,444 12,890,069 9,974 9,793 10,141 10,530 10,546 11,110 10,829 11,222 11,845 lxv840 11,629 11,865 12,012 12,110 12,388 12,509 12,807,101 10,005 9,777 10,222 10,544 10,628 11,106 10,8 ii,405 11,885 11,773 11,532 11,947 11,993 12,024 12,270 12,575 12,769,064 9,979 9,816 10,26u 10,548 10,702 11,122 11,0 11,478 11,844 11,629 11,471 11,999 12,063 12,045 12,410 12,584 12,771 12,990 9,932 9,943 10,217 10,490 10,949 10,920 11,077 11,495 11,873 11,664 11,564 11,963 12,201 11,888 12,467 12,667 12,708 12,987 9,979 10,030 10,181 10,391 10,875 11,020 llti22 11,553 11,796 11,648 11,569 12,003 12,151 12,007 12,337 12,6 12,860,056 9,930 10,087 10,257 10,476 11,103 10,794 11,077 11,657 11,835 11,615 11,586 11,889 12,365 12,097 12,275 12,641 12,884,032 10,028 10,089 10,225 10,544 10,969 10,694 11,063 11,658 11,838 11,7,55 ll,573i 11,96* 12,415 12,149 12,329 12,489 12,894,159,143,2,144,079,249,243,394,417,332,544,405,268 9,907 9,906 10,164 10,475 10,704 10,972 10,955 11,343 11,833 11,732 LI,604 11,845 12,062 12,107 12,359 12,511 12,777,033 EMPLOYED MALES 1619 YEARS APR. DEC. AVG.. SEASONALLY ADJUSTED DATA ,350 2,280 2,077 2,159 2,144 2,262 2,099 1,997 2,266 2,042 2,032 2,148 2,334 2,336 2,315 2,365 2,465 2,627 2,355 2,276 2,104 2,1 2,140 2,327 2,073 1,974 2,190 2,1 2,019 2,180 2,377 2,255 2,347 2,275 2,528 2,725 2,333 2,167 2,091 2,175 2,108 2, 244 2,028 2,019 2,178 2,142 1,996 2,202 2,218 2,277 2,430 2,340 2,544 2,756 2,428 2,169 2,128 2,073 2,053 2,229 1,995 2,076 2,084 2,112 1,980 2,203 2,424 2,199 2,367 2,392 2,514 2,839 2,371 2,165 2,095 2,220 2,125 2,109 2,004 2,080 2,2 2,114 1,980 2,197 2,360 2,331 2,434 2,357 2,600 2,886 2,417 2,053 2,145 2,4 2,117 2,121 1,980 2,030 2,201 2,161 1,955 2,188 2,371 2,386 2,395 2,395 2,571 2,782 2,362 2,079 2,230 2,1 2,093 2,096 1,985 2,083 2,166 2,159 1,986 2,194 2,344 2,350 2,372 2,373 2,630 2,988 2,315 2,030 2,269 2,181 2,078 2,074 1,960 2,069 2,,159 2,082 2,006 2,7 2,363 2,402 2,334 2,464 2,588 3,005 2,328 2,115 2,281 2,209 2,094 2,037 1,948 2,150 2,185 2,077 2,014 2,228 2,404 2,262 2,369 2,466 2,678 2,947 2,301 2,018 2,297 2,150 2,123 2,024 1,944 2,196 2,5 2,119 2,082 2,207 2,338 2,277 2,351 2,497 2,637 3,063 2,276 2,146 2,244 2,087 2,3 2,129 1,935 2,243 2,065 2,075 2,045 2,227 2,441 2,333 2,253 2,492 2,606 3,125 2,322 2,075 2,199 2,250 2,099 2,063 1,876 2,247 2,100 2,129 2,086 2,279 2,311 2,289 2,383 2,450 2,629 3,156 3,256 3,204 3,285 3,112 3,345 3,340 3,348 3,114 3,170 3,300 3,218 3,252 2,345 2,124 2,186 2,156 2,106 2,5 1,985 2,095 2,164 2,117 2,012 2,198 2,360 2,314 2,362 2,406 2,587 2,918

36 HOUSEHOLD DATA SEASONALLY ADJUSTED JAN. SEASONALLY ADJUSTEO OATA FEB. L ,233 39, T 38,780 38,818 i«? ,595 39,695 \352 39,714 39, (,256 4C ,834 39, ,937 39,964 i'56 41,2Q3 41, ,168 41,341 HS8 4C617 40, ,769 40,699 '6C 41,637 41, ,367 41,177 1^2.. 41,551 41,749 1<;63 41,984 41,926 >?64 42,561 42, , ,966 43, ,098 39,015 38,851 40,0 39,580 40,648 39,497 40,111 41,199 41,500 40,180 41,079 41,324 41,273 4l,70C 42,C93 42,603 43,4 EMPLOYED MALio <SU YEARS AND OVER APR. MAY JUNE JULY AUG. 39,157 38, ,100 39,804 39,542 40,346 39,6 40,120 41,289 41,345 40,129 41,419 41,641 41,210 41,654 42,145 42,871 43,395 39,9 38,701 39,416 39,752 39,588 40,323 39, ,166 41,334 40,253 41,355 41,668 41,9 41,843 42,103 42,978 43,529 39,392 38,632 39,476 39,538 39,558 40,358 39,476 40,444 41,196 41,411 40,208 41,387 41,553 41,349 41,719 42,265 42,754 43,484 39,607 38,405 39,517 39,483 39,496 40,378 39,467 40,751 41,216 41,472 40,270 41,596 41,490 41,241 41,671 42,424 43,001 43,492 39,510 38,610 39,879 39G8 39,289 40,352 39,582 40,747 41,265 41,243 40,343 41,485 41,503 41,358 41,897 42,393 42,966 43,45G SEPT. 39,324 38,744 39,865 39,416 39,386 40,192 39,702 40,920 41,258 41,2 40,564 41,351 41,604 41,400 42,020 42,497 43,003 43,3 39,522 38,394 39,737 39,555 39,451 40,155 39,618 40,858 41,261 41,069 40,699 41,358 41,464 41,509 42,080 42,385 42,961 43,345 NOV# 39,459 38,860 39,668 39,504 39,549 40,163 39,745 40,936 41,208 40,853 40,684 41,062 41,543 41,556 41,978 42,402 43,100 43,371 06C. 39,539 38,908 39,536 39,691 40,011 39,885 39,763 41,G68 41,192 40,884 40,703 41,655 41,420 41,538 41,981 42,438 43,174 43,586 43,617 43,731 43,624 43,615 43,577 43,688 43,655 43,654 43,711 43,898 AVG. 39,382 38,803 39,393 39,626 39,578 40,295 39,634 40,527 41,216 41,239 40,411 41,267 41,543 41,342 41,815 42,252 42,886 43,422 43,667 EMPLOYED MALES 25 YEARS AND OVER APR. MAY JUNK JULY AUG. sept. DEC. ' S iif * L L Y AD JO S T <':0 GA XA ,i>55 *5,ii2 V<J... 34,969 34,912 i. 34,612 34, ,790 34,664 3^,924 34,86? 34,7i9 34,453 34,789 35,117 34,445 35,19^ '35*2 35,096 34,3i6 34,481 55,177 35,533 34,900 34,522 35,552 35,i63 34,329 35,457 35*106 34,66^ 35,465 35,193 34,677 35,398 35,033 34,60 35*J4v 6l 3S,512 35,5^1 52 ^6,27~J jt*3 4 >3 37,r. 7 37*449 S4 :>?, 75 37,? ,:57 37,,;83 35,907' 36, ,f>88 36,781 37,:>38 36, ,33? 37,4 37,315 36,794 36,727 37,194 37,545 36, ,464 *6,73'3 37, ,874,3w 36,?44 37,5C7 37,55b 36,765 6,891?7,77> 37,742 35,748 36,460 37,797 35,964 36,514 37,392 36,922 7*758 35,933 36,552 37,364 37,023 37,819 36,2 36,842 37, ,u66 37,917 36,396 37* ,91 37,55 37,869 37,i56 37,329 37, * i Vi ,9 f v3 38,7 36»V56 37,594 37,600 J8.O92 37,916 38,OD9 38,033 36,9,'1 36*9<?3 37*8 37,775 37*846 37*871 37, S33 37,^3 ^7,935 37,997 37,ft73 37,074 37,822 37,729 37,976 37,853 37,217 37*70 37, ,971 37,719 37,3 37,662 37,695 37,921 37,573 37,249 37,406 37,792 37,885 37,554 37,254 37,697 37,97 37,897 37, KB 37,670 37,789 37,610 37,951 38, ,75 5?7,37L 36,4..'7 *.'.}, 76? 37,548 38,v 3 3 8*382 37,Sub 37,8?6 38,321 38*573 38, , ,^88 38,017 33,581 38,885 39,125 37,54J 37, , 9 33, , *501 37,504 37,851 38,U0w ibtwi 3 8,267 8, ,56b,834 38,803 37,529?8,066 38,340 38,536 38,818 37,616 38,031 38,214 38,557 38,B55 39,090 39,C85 37,638 37,964 38,238 38,642 38,799 37,705 37,973 38,231 38,622 39,008 39,259 37,544 37,9.; 7 23,616 38,516 38,839 39,06,8 StASONALLY ADJUSTED DATA JAN. FEB. MAR ,156 27,115 27, , 27,054 26,990 26, ,787 26,820 26, ,655 27,656 27, ,067 28,0 28, ,S83 29,152 29,200 ^ ,758 28,769 28, ,050 28,954 29,050 i956...* 29,5 29,489 29,472 A957 29,476 29,597 29*738 i ,061 28,820 28, ,183 29,114 29,426 i960 29,607 29,698 29,411 i ,183 29,U78 29, ,383 29,458 29, ,6C3 29,529 29, ,SIC 30,0 29, ,184 30,5 30,205 EMPLOYED MALES 2554 YEARS APR. MAY JUNE JULY 27,057 26,909 27,058 27,770 23,216 29,030 28,580 29,0U9 29,570 29,599 28,676 29,577 29,563 29,243 29,353 29,644 30,012 30,211 27,069 26,784 27,253 27,746 28,220 28,996 28,549 29,293 29,372 29,597 28,759 29,558 29,616 29,156 29,512 29,630 30,036 30,194 27,120 26,800 27,403 27,664 28,171 29,146 28,640 29,348 29,375 29,566 28,754 29,568 29,523 29,309 29,440 29,749 29,933 30,285 27,346 26,710 27,407 27,674 28,214 29,220 28,599 29,411 29,391 29,60U 28,802 29,586 29,432 29,308 29,480 29,797 30,062 30,217 27,114 26,803 27,562 27,638 28,126 29,292 28,607 29,393 29,463 29,545 28,865 29,470 29,474 29,323 29,562 29,763 29,979 30,236 27,150 26,902 27,7 27,662 28,299 29,153 28,627 29,407 29,430 29,463 29,004 29,335 29,516 29,406 29*583 29*789 30,032 30*233 27,202 26,589 27,611 27,853 28,363 29,056 28,626 29,419 29,465 29,381 29,7 29,361 29,398 29,482 29,728 29,768 29,989 30,248 27,154 26,873 27*608 27,851 28,392 29,094 28,802 29,426 29*446 29,282 29,123 29,3 29,398 29,415 29*665 29,737 30,054 30,317 DEC. 27,7 26,786 27,433 28,018 28,586 28,919 28*868 29,507 29,424 29,169 29,156 29,507 29,262 29,404 29,641 29,856 30,039 30, <o,436 30,470 30,416 30,425 30,389 30,3 30,264 30,311 30,302 30,3 30,331 30,519 30, ,143 26,848 27,295 27,753 28,249 29,103 28,666 29,273 29,454 29,500 28,909 29,402 29,493 29,291 29,519 29,711 30,000 30,240

37 EMPLOYED MALES 55 YEARS AND OVER HOUSEHOLD DATA SEASONALLY ADJUSTED APR. HAY JUNE JULY AUG. SEASONALLY AOJUSTED DATA , T C 7*801 7,919 7,845 7,792 7,779 7,794 7,755 7,833 7,817 7,742 7,820 7,711 7,879 7,893 7,755 7,791 7, 886 7, 698 7, 869 7,919 7,643 7,954 7,889 7,708 7,921 7, 957 7, 755 7, 875 7,933 7,799 7,887 7,973 7,810 7,880 7,390 7,767 7, , ,2C , , ,. 8,121 7,902 8,153 8,280 8,361 3,1 3,035 8,042 8,451 8,232 8,183 8,088 8,083 8,388 8»247 8,211 8,206 8,0 8,312 8,182 8,247 8,161 8,166 8,326 8,171 8,224 8, 203 8, 1 8* ,190 8,101 8,253 8,274 8,345 8,8 8*183 8*240 8,284 8,362 8, 089 8, 155 8, 335 8, 287 8, 339 8,111 8,187 8,232 8»241 8,419 8,140 8,222 8,202 8,2 8,417 3,093 8,147 8,29i 8,244 8, , , * *148 I96C... 8,312 8,457 8,459 8,308 8,163 8,281 8,548 8,447 8,253 8,214 8,227 8, ,2 8,236 8,281 8,540 8,433 8,252 8,227 8,272 8,546 3,493 3,223 8,254 8,244 8* 523 8* 397 8* 183 8, 320 8* 269 8,532 8,322 8,191 8,344 8,233 8,514 8,348 8,185 8,329 8,300 8, 516 8, 339 8, 188 8, 329 8, 327 8,503 8,322 8»117 8,287 8,393 8,485 8,375 8,089 8,363 8,418 8,516 8,396 8,209 8,268 8, , , * * ,603 8,589 8,371 8,433 8,352 8,43U 8,654 8,403 8,447 8,408 8,447 8,642 8,228 8,454 8,344 8,508 8,537 8,220 8,477 8,365 8,547 8,678 8,269 8,444 8,425 8,485 8* 603 8* 168 8* 347 8, 493 8, 525 8, 598 8,176 8,434 8,473 8,550 8,554 8,112 8,444 8,517 8,495 8,574 8, 170 8, 331 8, 467 8* 586 8, 588 8,259 8,307 8,503 8,602 8,517 8,267 8,304 8,360 8,580 8*641 8,t> 09 8,618 8,605 8,731 8,715 8,738 8,748 8,741 8*805 8,767 8,691 8,253 8,398 81,423 8,517 8,599 EMPLOYED FEMALES 1619 YEARS JAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC. AVG EO DATA 1,769 1,671 1,523 1,740 1,698 1,490 1,759 1,792 1,420 1,705 1,607 1,524 L,632 L,620 L,510 1,721 1,484 1,478 L,651 L,462 U461 1,637 ] L,654 1, ,525 3L,527 1*608 1,597 1,594 1*628 1*581 1,590 1,742 1,562 1,545 1,683 1,588 1, ,603 1,601 1,600 1,517 1,444 1,578 1,615 1,690 1,529 1,376 1,656 1,593 1,721 1,639 1,419 1,586 L35 1,655 L38 1,627 L,604 1,562 ] L,462 1,452 L,479 1,580 1,707 1*676 1,442 1,470 1*644 L,604 U582 1,414 L,556 1,640 ],584 1,556 ] L64 1,617 11,614 1,443 1,499 1,604 1L,593 1,631 1*526 1,478 1,499 1,610 1,576 1,616 1,472 1,464 1,656 1,610 1,663 1,430 CF 1,744 1,611 1,612 1,584 1,490 1, ,593 1,682 1,536 1,660 1,693 1,571 1,670 1,592 1,639 1,751 1,538 1,696 1,587 1,607 1,747 1,612 L,638 1,653 L,640 1,553 L,663 1,648 L,584 1,784 ] L,848 1,675 1,651 1,560 1,617 1,954 L,700 1,647 1,450 1,626 L,818 1,684 1.,654 1,614 1,715 1,560 ],570 1,654 11,660 1,7 ] L,765 1,651 1,698 1,603 1,640 1,754 1,677 1,659 1,582 1,645 1,739 1,757 1,624 1,627 1,693 1,718 1,654 1,663 1,570 1,640 1, ,755 1,749 1,846 1,911 1,871 1,768 1,761 1,842 2,011 1,888 1,842 1,806 1,812 1,960 1,982 1,828 1,722 1,798 1,855 1,856 1,895 1,873 1,892 2,026 2,057 1,814 L62 1,974 L,846 1,818 1,829 1,929 ] L,926 2,052 2*140 1,805 1,762 1,889 ],811 1,857 ],868 1,909 1,980 2,1 2>.2OO 1,791 1,810 1,883 1,897 2,284 1,858 1,804 1,803 1,991 2,3 1,790 1,797 1,848 1,923 2,371 1,793 1,833 1,849 1,929 2,118. 2,384 2,507 2,549 2,432 2,608 2,610 2,469 EMPLOYED FEMALES 20 YEARS AND OVER JAN. FEB. MAR. APR. MAY JUNE JULY AUO. SEASONALLY AOJUSTED OATA ,556 14,621 14, ,991 15,117 15, ,255 15,339 15, ,279 16,257 16* ,001 16*935 16, ,481 17, ,574 17,162 17, *375 17,4 17, *691 18,582 18, ,740 19*115 19* ,035 18*951 18* *292 19, I960 19,688 19,765 19, * , * ,942 21,036 21, ,502 21,668 21, , ,001 14,978 15,831 16,426 16,660 17,242 17,015 17,867 18,629 18,936 18,969 19*498 20,110 20,144 20,549 21*245 22,062 22,352 14,712 15,066 15, ,844 16,983 16,975 17,665 18*844 18*897 18,960 19*564 20* *2 15*003 15, ,301 16,694 17, ,659 20,271 20,446 20,528 21,164 21,951 22,714 15,348 15,244 15,793 16,898 16,778 17,341 16,777 18,123 18,718 19,262 19,039 19,596 20,257 20*251 20,592 21,245 21,827 22,843 14,994 15*181 16*124 16*665 16,867 17,108 16* ,020 19,103 19,568 20,315 20,277 20,840 21,162 21,978 22,732 15,207 15,129 15,902 16,504 17,477 17,063 17,3 18*285 19*019 19*116 19*033 19,531 20,492 20,112 21,001 21,357 21,947 22,780 14,956 15,260 16,175 16,674 17,032 17,236 17,209 18*327 18,928 19,160 19,090 19,701 20,075 20,355 20,851 21,459 21,971 22,8 15,054 15,422 16,195 16,669 17,449 16,974 17,2 18*422 18*846 19*082 19*158 19,595 20,386 20*351 20*816 21*600 22,024 22*922 15,7 15,300 16,149 16,946 17,181 16,599 17,121 18,630 18,859 19,285 19,171 19,718 20,335 20,309 20,859 21,525 22,207 23,076 23*150 23*112 23* ll* t»*l+2 23,171 23,422 23*556 23,994 23,891 24*27 24,167 14,937 15,7 15,MA 16,570 16,958 17,164 17,000 18,002 18,767 19,051 19,044 19,525 20,105 20,296 20,693 21,257 21,903 22,#30

38 HOUSEHOLD DATA SEASONALLY ADJUSTED EMPLOYED FEMALES 25 YEARS AND OVER JAN. Fir; APK, MAf JU* wfuly AUG. SfPT. ADJUSTED DATA 15,86 7 1;. ( *?4 i 2,9 12*676 11*927 :2,>4^ 12,<U3 12*..0 l.i*3c»l 12,091 J2*? ,5ii,238 *545 12, , , ,717 *372 12,454 12,553 12,702 12,349 12,825 12,957 12,844 12,624,57a,653,552,33* '55. L5.I06 I4,^3C 14,249 14,«?^«f 14,816 t4,765 14,7^5 15, , ,516 fc 14*614 14,?O0 14,744 H47 15,4 IS,*12 L4«?65 14,160 14**09 14,476 ; 4,'>56 14.S25. 14, ,694. i,349 16, 96 14,782 14,840 16,006 14,197 14,18/ 14,416 14,02f 14,652 15,049 14,902 14,568 14, ,479 14,84 14,902 14,924 14,348 14,762 16,019 16,051 U , ir*6o4 i7.*":69 16, *4^3 17*976 17,930!6i 18*36.^ 18*67? 18*7*7 LbrAZO 116 L41 16*6 16,697 16,70 2, U IF.^77 17*719 17, ,017 i 8,4*3 s 18 18,771!«? 16*607 16* ,766 17*936 IS,023 16,529 19,157 19*301 17,396 17* ,024 18,4*1 39*586 16,731 16,771 17,674 17, «284 18, 51 * 18,482 16*6 i6,e^2 16*766 14? 28,110 17,702 18,428 18?!> 18*969 i1^ 16,5 16,529!*,5&j 16,46* 16,922 16,826 16,981 16,757 16**06 16,926 16,971 16,766 17,37u 17,301 17,185 17,253 17,n99 18,025 17,930 17,73f 17,89 L7»6'36. I7,fi&8 17,864 18*195.18,164 18* ,14$ 18,777 6,461 18,752 18,559 18*e»2 19,u2fc 19*196 18,969 19,65! 19,758 19,«b6 19,512 A9,771 19,764 19,d7;> 20,207 20*671 20*508 20,827 20*627 20,14S EMPLOYED FEMALES 2554 YEARS APR. MAY JUNE JULY AUG. SEASONALLY ADJUSTED DATA... 10, , , , ,260...,419..., ,165 14, ,563 « ,96S 10,040 10,483 10,579 11,311 12,061 12,236 12,303 12,289 12,933,325,276,567,777,931 14,269 14,356 14,611 14,918 15,342 9,994 10,486 10,657 11,445 12,014 12,378 12,200 12,245 12,902,330,3,628,662 14,128 14,207 14,407 14,578 14,921 15,304 10,259 10,438 10,939 11,448 11,892 12,238 12,145 12,522 12,951,356,316, ,008 14,008 14,047 14,521 14,737 14,912 15,287 10,057 10,595 10,892 11,640 11,992 11,930 12,030 12,439,209,334,307,699 14,033 14,059 14,072 14,488 14,852 14,968 15,329 10,439 10,516 11,198 11,350 12,009 12,117 11,916 12,599,214,376,282,801 14,114 14,203 14,074 14,425 14,795 15,6 15,385 10,593 10,587 11,052 11,925 11,874 12,122 11,873 12,836,149,587,353,721 14,143,967 '14,099 14,409 14,668 15,164 15,475 10,421 10,596 11,349 11,823 11,866 11,946 11,832 12,939,218,404,471,633 14,5,947 14,311 14,382 14,761 15,161 15,534 10,669 10,518 11,066 11,7 12,222 12,026 12,023 12,883,334,492,363,6 14,228,866 14,367 14,456 14,638 15,030 15,817 10,468 10,490 11,265 11,896 11,871 12,202 12,000 12,830,291,606,394,690,870 14,042 14,2 14,609 14,670 15,149 15,833 10,493 10,652 11,278 11,832 12,148 12,322 12,9 12,860,234,551,459,698 14,054,982 14,191 14,717 14,726 15,227 16,068 10,507 10,589 11,256 11,991 12,181 12,064 12, ,501,752, 97,997 14,190 14,624 14,902 15,369 16,022 10,332 10,535 11,012 11,647 12,011 12,i59 12,041 12,643,149,421,371,676,973 14,010 14,184 14,471 14,709 15,078 15,566 EMPLOYED FEMALES 55 YEARS AND OVER APR. MAY JUN JULY AUG. SEASONALLY ADJUSTED DATA I ,884 2*066 2,243 2,331 2,438 2,783 2,560 2,898 3,277 3,321 3,348 3,497 3,612 3,970 3,882 4,025 4,6 4,379 1,894 2,067 2,285 2,417 2,404 2,684 2,588 2,858 3,195 3,361 3,398 3,366 3,631 3,945 3,932 4,008 4,198 4,358 1,992 2,041 2,317 2,584 2,348 2,692 2,621 2,939 3,304 3,423 3,446 3,515 3,500 3,896 3,965 4,049 4,199 4,385 2,038 2,040 2,335 2,420 2,363 2,597 2,679 3,050 3,344 3,302 3,39 3,538 3,701 3,752 3,975 4,049 4,357 4,381 2,012 2,065 2,333 2,352 2,494 2,605 2,694 2,982 3,389 3,294 3,402 3,597 3,737 3,788 3,971 4,079 4,343 4,391 2,081 2,038 2,350 2,369 2,380 2,784 2,658 2,998 3,299 3,347 3,406 3,611 3,768 3,841 3,944 4,084 4,322 4,498 2,119 2,079 2,353 2,341 2,497 2,809 2,666 3,047 3,362 3,376 3,344 3,627 3,724 3,856 3,923 4,082 4,244 4,466 2,060 2,173 2,306 2,358 2,601 2,869 2,739 3,3 3,312 3,307 3,280 3,655 3,830 3,869 3,976 4,111 4,221 4,436 2,043 2,235 2*296 2,352 2,766 2,680 2,793 3,3 3,359 3,316 3,379 3,634 3,901 3,776 4,023 4,150 4,2 4*4 2,022 2,275 2,306 2,302 2,720 2,685 2,835 3,214 3, ,381 3,674 3,824 3,837 3,956 4,146 4,274 4,468 1,997 2,288 2,370 2,365 2,916 2,512 2,836 3,238 3,332 3,293 3,469 3,602 3,972 3,838 3,968 4,8 4,282 4,515 2,0$5 2,279 2,345 2,404 2,747 2,492 2,850 3,241 3,353 3,380 3,4fi4 3,602 3,997 3,8*2 4,W*S 4,129 4,314 4,518 4,558 4,518 4,528 4,739 4,638 4,577 2,017 2,9 2,320 2,382 2,557 2,681 2,711 3,062 3,317 3,336 3,395 3,577 3,766 3,854 3,961 4,088 4,260 4,434

39 HOUSEHOLD DATA SEASONALLY ADJUSTED EMPLOYED WHITECOLLAR WORKERS APR. HAY JUNE JULY AUG. SEPT. SEASONALLY ADJUSTED DATA ,337 26, ,526 26, ,425 27,337 I960 28,056 28, ,397 29, ,467 29, ,859 29, C799 30, ,508 31,623 32,532 32,522 26,430 26,570 27,209 28,016 29,490 29,877 29,965 30,906 31,731 26,633 26,725 27,358 28,481 29,268 29,732 29,968 31,103 31,903 26,769 26,932 27,371 28,641 29,034 29,870 29,948 31,046 31,896 26,841 27,031 27,530 28,635 29,0 29,892 29,978 30,855 32,452 26,825 27,059 27,945 28,648 28,943 29,704 30,051 31,082 32,428 26,757 27,3 28,009 28,906 28,840 30,143 30,129 31,084 32,7 26, , , , , , , 433, , ,351 27,386 28,298 29,110 28,888 30,037 30,392 31,258 32,229 26,471 27,473 28,251 29,631 29,091 29,825 30,564 31,376 32,410 26,554 27,539 28,316 29,112 29,159 30,028 30,727 28,871 32,527,sn 26 27,033 27,,778 28:,700 29,,103 29, W , 32,631 32,833 33,007 33,247 33,529 33,770 33,729 33,825 34,215 33,981 33,31* at EMPLOYED PROFESSIONAL AND TECHNICAL WORKERS SEASONALLY ADJUSTED DATA JAN JUN JUL * EMPLOYED MANAGERS, OFFICIALS, AND PROPRIETORS SEASONALLY ADJUSTED DATA JAN FE9 AUG OCT SEASONALLY ADJUSTED DATA EMPLOYED CLERICAL WORKERS JAN FEB JUL AUG SEP OCT NOV DEC AVG 1957: I ' CC

40 HOUSEHOLD DATA SEASONALLY ADJUSTED EMPLOYED SALES WORKERS SEASONALLY ADJUSTED DATA JAN l #f 43C j i #J FE ies MAR APR MAY JON JUL AUG see QCT MOV DEC AVG EMPLOYED BLUECOLLAR WORKERS APR. MAY JUNE JULY AUG. AVG. SEASONALLY ADJUSTED DATA ,102 25, ,362 24, ,814 23,981 I960 24,502 24, ,304 23, ,645 23, ,381 24, ,938 25, ,049 26,297 26,942 27,282 24,961 23,684 24,184 24,369 23,251 23,792 24,606 25,234 26,309 24,721 23,226 24,183 24,486 23,273 23,953 24,784 25,247 25,957 24,354 22,834 24,223 24,5 23,487 24,147 24,680 25,462 26,030 24,334 22,8 24,290 24,529 23,761 24,056 24,798 25,380 26,015 24, , , , , , , , , ,406 22,967 24,171 23,992 23,980 24,210 24,884 25,409 26,409 24,596 23,242 24,051 23,774 24,083 24,328 25,165 25,445 26,316 24,770 23,512 24,049 23,556 24,129 24,386 25,141 25,450 26,390 24,652 23,633 23,738 23,371 24,235 24,339 25,110 25,650 26,689 24, , , , , , , , , ,648 23,406 24,093 24,141 23,736 24,1 24,831 25,392 26,305 26,987 26,926 26,857 27,239 27,081 27,063 26,898 26,741 26,849 27,278 27,012 EMPLOYED CRAFTSMEN AND FOREMEN SEASONALLY ADJUSTED DATA JAN ; S6* <» L «* S6P OCT EMPLOYED OPERATIVES SEASONALLY ADJUSTED DATA JAN Ft MAR APR MAY JUN JUL AUG SEP OCT NOV DEC AVG U

41 HOUSEHOLD DATA SEASONALLY ADJUSTED SEASONALLY ADJUSTED DATA EMPLOYED NONFARM LABORERS JAN AMI JUN OCT 1W.«* 3T ? EMPLOYED SERVICE WORKERS APR. MAY JUNE JULY AUG. AVG. SEASONALLY ADJUSTED DATA I ,261 7,491 7,798 8,063 8,267 8,579 8,643 8,688 8,931 7,360 7,579 7,727 8,089 8,235 8,5 8,771 8,874 8,866 7,412 7,624 7,835 7,966 8,354 8,385 8,849 8,991 8,824 7,378 7,571 7,853 8,078 8,289 8,270 8,837 9,171 8,841 7,493 7,704 7,719 8,021 8,318 8,326 8,903 9,149 8,9 7,443 7,662 7,710 8,125 8,437 8,478 8,822 9,188 8,951 7,411 7,663 7,847 8,163 8,288 8,409 8,833 8,902 9,6 7,472 7,617 7,850 8,157 8,331 8,537 8,836 9,053 9,112 7,585 7,625 7,666 8,285 8,471 8,515 8,676 9,063 9,254 7,588 7,522 7,965 8,201 8,449 8,594 8,718 8,94V 9,293 7,533 7,575 7,849 8,336 8,539 8,683 8,697 8,950 9,292 7,433 7,602 8,161 8,344 8,512 8,693 8,662 8,901 9,370 7,448 7,604 7,831 8,150 8,376 8,498 8,77f 8,991 9,065. S,372 9,328 9,249 9,149 9,156 9,262 9,330 9,330 9,418 9,528 9,608 9,593 9,360 EMPLOYED FARMERS AND FARM LABORERS SEASONALLY ADJUSTED DATA JAN JUN

42 HOUSEHOLD DATA A 1: Employment status of the noninstitutional population, 1929 to date (In thousands) Year and month Total noninstitutional popula Total labor force Percent of popular tion Civilian labor force Total Employed Agriculture Non agricultural industries Unemployed Percent of labor force Not seasonally adjusted Seasonally adjusted Not in labor force Persons 14 years of age and over , ^ : February March April. May.. June... July August.. September October.. November December : January.. February <D 100, , , , , , , , , , , , , , , , ,732 1, , , , , , , , , ,236 1,180 0,436 0,599 0,749 0,925 1,083 1,236 1,419 1,590 1,772 1,949 2,121 2,295 2,448 49,440 50,080 50,680 51,250 51,840 52,490 53,140 53,740 54,320 54,950 55,600 56,180 57,530 60,380 64,560 66,040 65,300 60,970 61,758 <D ,180 49,820 50,420 51,000 51,590 52,230 52,870 53,440 54,000 54,610 55,230 55,640 55,910 56,410 55,540 54,630 53,860 57,520 60,168 47,630 45,480 42,400 38,940 38,760 40,890 42,260 44,410 46,300 44,220 45,750 47,520 50,350 53,750 54,470 53,960 52,820 55,250 57,812 10,450 10,340 10,290 10,170 10,090 9,900 10,110 10,000 9,820 9,690 9,610 9,540 9,100 9,250 9,080 8,950 8,580 8,320 8,256 37,180 35,140 32,110 28,770 28,670 30,990 32,150 34,410 36,480 34,530 36,140 37,980 41,250 44,500 43,390 45,010 44,240 46,930 49,552 1,550 4,340 8,020 12,060 12,830 11,340 10,610 9,030 7,700 10,390 9,480 8,120 5,560 2,660 1, ,040 2,270 2, Persons 16 years of age and over 60,941 62,080 62,903 63,858 65,117 65,730 66,560 66,993 68,072 69,409 69,729 70,275 70,921 72,142 73,031 73,442 74,571 75,830 77,178 78,893 76,702 77,043 77,812 78,459 80,727 80,838 80,665 78,982 79,488 79,895 79,642 78,706 79, ,350 60,621 61,286 62,208 62,017 62,8 63,015 63,643 65,023 66,552 66,929 67,639 68,369 69,628 70,459 70,614 71,833 73,091 74,455 75,770 73,778 74,069 74,804 75,414 77,628 77,703 77,487 75,753 76,209 76,573 76,252 75,320 75,689 57,039 58,341 57,647 58,914 59,957 60,257 61,176 60,107 62,168 63,793 64,071 63,036 64,630 65,778 65,746 66,702 67,762 69,305 71,088 72,895 70,676 71,083 72,077 72,620 74,038 74,655 74,666 73,248 73,744 73,995 73,599 72,160 72,506 7,891 7,629 7,656 7,160 6,726 6,501 6,261 6,206 6,449 6,283 5,947 5,586 5,565 5,458 5,200. 4,944 4,687 4,523 4,361 3,979 3,478 3,645 4,020 4,097 4,704 4,580 4,308 4,186 4,114 3,814 3,360 3,335 3,281 49,148 50,711 49,990 51,752 53,230 53,748 54,915 53,898 55,718 57,507 58,123 57,450 59,065 60,318 60,546 61,759 63,076 64,782 66,726 68,915 67,198 67,439 68,055 68,523 69,333 70,076 70,359 69,063 69,630 70,180 70,239 68,826 69,225 > 44,200 43,990 42,230 39,100 38,590 40,230 45,550 45,850 2,311 2,276 3,637 3,288 2,055 1,883 1,834 3,532 2,852 2,750 2,859 4,602 3,740 3,852 4,714 3,911 4,070 3,786 3,366 2,875 3,102 2,986 2,729 2,794 3,591 3,048 2,821 2,505 2,466 2,577 2,653 3,160 3, O6 42,477 42,447 42,708 42,787 42,604 43,093 44,041 44,678 44,660 44,402 45,336 46,088 46,960 47,617 48,312 49,539 50,583 51,394 52,058 52,288 53,734 53,556 52,938 52,466 50,356 50,397 50,755 52,609 52,285 52,054 52,479 53,589 53,341 *Not available. Digitized for FRASER

43 HOUSEHOLD DATA A 2: Employment status of the noninstitutional population 16 years and over by sex, 1947 to date (In thousands) Year, month, and sex Total noninstitutional population Total labor force of population Civilian labor force Employed Agriculture Nonagricultural industries Unemployed Percent of labor force Not seasonally adjusted Season ally adjusted Not in labor force MALE T ; : : February. July August... September October. November. December. : January. February. FEMALE " : February July... August.. September October.. November December : January.. February,968,439,922,352,788,248,248,706,122,547,082,640,312,144,826,626,627,556,473,351 63,023 63,375 63,455 63,531 63,6 63,693 63,771 63,848 63,914 52,450 53,088 53,689 54,293 54,933 55,575 56,353 56,965 57,610 58,264 58,983 59,723 60,569 61,615 62,517 63,355 64,527 65,668 66,763 67,829 67,4 67,862 67,965 68,060 68,159 68,256 68,352 68,449 68,534 44,258 44,729 45,097 45,446 46,063 46,416 47,1 47,275 47,488 47,914 47,964 48,126 48,405 48,870 49,193 49,395 49,835 50,387 50,946 51,560 50,346 53,381 53,142 51,412 51,417 51,426 51,371 51,143 51,332 16,683 17,351 17,806 18,412 19,054 19,314 19,429 19,718 20,584 21,495 21,765 22,149 22,516 23,272 23,838 24,047 24,736 25,443 26,232 27,333 26,356 27,457 27,524 27,572 28,071 28,469 28,272 27,564 27, ,686 43,286 43,498 43,819 43,001 42,869 43,633 43,965 44,475 45,091 45,197 45,521 45,886 46,388 46,653 46,600 47,129 47,679 48,255 48,471 47,456 50,280 49,997 48,216 48,172 48,8 48,015 47,791 47,949 16,664 17,335 17,788 18,389 19,016 19,269 19,382 19,678 20,548 21,461 21,732 22,118 22,483 23,240 23,806 24,014 24,704 25,412 26,200 27,299 26,322 27,423 27,491 27,538 28,037 28,435 28,237 27,529 27,740 40,994 41,724 40,923 41,574 41,776 41,680 42,427 41,615 42,619 43,375 43,357 42,423 43,466 43,904 43,656 44,177 44,657 45,474 46,340 46,919 45,586 48,670 48,579 46,991 47,016 46,826 46,479 46,088 46,2 16,045 16,616 16,721 17,338 18,180 18,566 18,748 18,489 19,548 20,415 20,714 20,6 21,164 21,874 22,090 22,525 23,105 23,831 24,748 25,976 25,089 25,985 26,086 26,256 26,728 27,169 27,120 26,073 26,292 6,643 6,358 6,342 6,001 5,533 5,389 5,253 5,200 5,265 5,039 4,824 4,596 4,532 4,472 4,298 4,069 3,809 3,691 3,547 3,243 2,980 3,563 3,426 3,309 3,279 3,1 2,860 2,864 2,857 1,248 1,271 1,314 1,159 1,193 1,112 1,008 1,006 1,184 1,244 1, , , ,351 35,366 34,581 35,573 36,243 36,292 37,175 36,414 37,354 38,334 38,532 37,827 38,934 39,431 39,359 40,108 40,849 41,782 42,792 43,675 42,606 45,107 45,154 43,683 43,738 43,7 43,619 43,224 43,357 14,797 15,345 15,409 16,179 16,987 17,456 17,740 17,484 18,364 19,172 19,591 19,623 20,1 20,887 21,187 21,651 22,227 23,000 23,934 25,240 24,591 24,969 25,205 25,380 25,892 26,468 26,620 25,602 25,868 1,692 1,559 2,572 2,239 1,221 1,185 1,202 2,344 1,854 1,711 1,841 3,098 2,420 2,486 2,997 2,423 2,472 2,205 1,914 1,551 1,869 1,610 1,417 1,224 1,156 1,312 1,536 1,703 1, ,065 1, , ,039 1,018 1,504 1,320 1,366 1,717 1,488 1,598 1,581 1,452 1,324 1,233 1,438 1,404 1,280 1,310 1,266 1,117 1,457 1, ,710 6,710 6,825 6,906 6,725 6,832 7,117 7,431 7,634 7,633 8,118 8,514 8,907 9,274 9,633 10,231 10,792 11,169 11,527 11,792 12,677 9,994 10,3 12,120 12,196 12,267 12,399 12,705 12,582 35,767 35,737 35,883 35,881 35,879 36,261 36,924 37,247 37,026 36,769 37,218 37,574 38,053 38,343 38,679 39,308 39,791 40,225 40,531 40,496 41,057 40,403 40,442 40,489 40,089 39,787 40,080 40,884 40,758 L Digitized for FRASER

44 HOUSEHOLD DATA A 3: Employment status of the noninstitutional population by age, sex, and color February (In thousands) Age, sex, and color MALE 35 to 39 years WHITE MALE NONWHITE MALE 18 and 19 years Total labor force Number 51,332 6,168 3,691 1,389 2,302 45,641 6,285 32,491 5,647 5,246 5,528 5,792 5,430 4,848 6,865 4,001 2,864 2,002 1, ,225 5,478 3,305 1,254 2,051 41,076 5,534 29,262 9,716 10,199 9,347 6,280 3,658 2,622 1,844 5, , ,229 1,177 1, Percent of population Civilian lal Total 47,949 4,875 3,167 1,348 1,819 42,782 4,806 31,117 5,181 4,887 5,236 5,645 5,344 4,824 6,859 3,996 2,863 2,002 1, ,151 4,294 2,823 1,216 1,607 38,484 4,190 28,020 8,978 9,798 9,244 6,274 3,653 2,621 1,844 4, , ,097 1,091 1, Employed 46,2 4,298 2,7'42 1,129 1,6 41,527 4,588 30,277 5,004 4,748 5,123 5,509 5,193 4,700 6,662 3,886 2,776 1,945 1, ,751 3,835 2,486 1,041 1,445 37,467 4,0 27,341 8,730 9,594 9,017 6,1 3,564 2,549 1,796 4, , ,936 1,021 1, sor force Unemployed Number 1, , , , Percent of labor force Total 12,582 4,015 3,431 2,153 1,278 3, , , ,769 1,675 4,094 11,142 3,450 2,917 1,820 1,097 2, , ,288 1, Not Keeping house in labor force Going to school 4,272 3,766 3,243 2,069 1,174 1, ,734 3,250 2,771 1,753 1, Unable to work 1, , Other reasons 6, , ,010 1,486 3,524 5, , , Digitized for FRASER

45 HOUSEHOLD DATA A 3: Employment status of the noninstitutional population by age, sex, and color.continued February (In thousands) Age, sex, and color FEMALE 16 to 19 years. 30 to 34 years 35 to 39 years. ' WHITE FEMALE 35 to 44 years.... NONWHITE FEMALE Total labor force Number 27,775 4,311 2, ,733 24,123 3,808 16,516 2,444 2,235 2,650 3,229 3,096 2,862 3,800 2,342 1, ,200 3,849 2, ,537 20,926 3,352 14,189 3,916 5,011 5,262 3,387 2,098 1, , , , Percent of population Civilian labor force Total 27,740 4,291 2, ,721 24,100 3,794 16,507 2,441 2,233 2,649 3,228 3,095 2,861 3,800 2,342 1, ,168 3,830 2, ,526 20,906 3,339 14,182 3,912 5,009 5,261 3,387 2,098 1, , , , imployed 26,292 3,764 2, ,520 23,018 3,514 15,808 2,318 2,118 2,533 3,089 2,977 2,773 3,698 2,277 1, ,046 3,418 2, ,366 20,078 3,129,645 3,734 4,818 5,093 3,306 2,048 1, , , , Unemployed Number 1, , , Percent of labor force ' Not in labor force Total 40,758 3,687 4,299 2,523 1,776 27,317 3,473 18,622 3,508 3,263 3,243 3,079 2,905 2,624 5,221 2,514 2,707 9,143 2,871 6,272 36,929 4,857 3,661 2,2 1,529 24,804 3,043 16,939 6,106 5,772 5,061 4,822 2,310 2,512 8,464 3, , , Keeping house 34,702 1, ,878 2,824 18,060 3,399 3,177 3,147 2,983 2,823 2,531 4,995 2,4 2,582 8,030 2,671 5,359 31,737 1, ,586 2,480 16,475 5,948 5,615 4,912 4,633 2,224 2,409 7,482 2, , , Going to school 4,098 3,858 3,404 2,278 1, ,518 3,314 2,9 1, Unable to work Other reasons 1, Digitized for FRASER

46 HOUSEHOLD DATA A 4: Labor force by age, sex, and color Age, sex, and color Thousands of persons Total labor force Participation rate Thousands of persons Civilian labor force Participation rate MALE 16 years and over* 16 to 19 years.... and 17 years 18 and 19 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 51,332 3,691 1,389 2,302 6,285 32,491 10,893 11,320 10,278 6,865 4,001 2,864 2,002 50,346 3,438 1,304 2,4 5,886 32,243 10,681 11,412 10,150 6,742 3,909 2,833 2, ,949 3,167 1,348 1,819 4,806 31,117 10,068 10,881 10,168 6,859 3,996 2,863 2,002 47,456 3,066 1,262 1,804 4,647 30,968 9,883 11,027 10,058 6,738 3,906 2,832 2, ,5 WHITE MALE 16 years and over 16 to 19 years and 17 years 18 and 19 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 46,225 3,305 1,254 2,051 5,534 29,262 9,716 10,199 9,347 6,280 3,658 2,622 1,844 45,308 3,030 1,160 1,870 5,165 29,063 9,541 10,294 9,228 6,159 3,579 2,580 1, ,151 2,823 1,216 1,607 4,190 28,020 8,978 9,798 9,244 6,274 3,653 2,621 1,844 42,663 2,690 1,122 1,568 4,031 27,895 8,816 9,937 9,142 6,155 3,576 2,579 1, , NONWHITE MALE 16 years and over 16 to 19 years and 17 years 18 and 19 years. 20 to 24 years 25 to 54 years 25 to 34 years 35 to 44 years.. 45 to 54 years to 64 years 55 to 59 years 60 to 64 years 65 years and over 5, ,229 1,177 1, , ,180 1,140 1, , ,097 1,091 1, , ,072 1,067 1,

47 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 Feb I961 Thousands of persons Participation rate FEMALE 16 years and over 16 to 19 ye.ars % 1(5 and 17 years 18 and 19 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 27,775 2, ,733 3,808 16,516 4,679 5,879 5,958 3,800 2,3^2 1, ,356 2,37^ 8o4 1,570 3,4 4 15,869 4,365 5,729 5,775 3,666 2,229 1, o O 4o * * S ,740 2, ,721 3,794 16,507 4,674 5,877 5,956 3,800 26,322 2,368 8o4 1,564 3,441 15,854 4,357 5,724 5,773 3,666 2,229 1, o * 5 4 1* WHITE FEMALE 16 years.and over 16 to 19 years 16 and 17 years 18 and 19 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 24,200 2, ,537 3,352 1^,189 3,916 5,011 5,262 3,387 2,098 1, ,944 2, ,418 3,016,601 3,625 4,870 5,106 3,301. 2,007 1, , * * ,168 2, ,526 3,339 14,182 3,912 5,009 5,261 3,387 2,098 1, ,9 2, ,4 3,004,588 3,618 4,866 5,104 3,301 2,007 1, l*5.« * 3 9 NONWHITE FEMALE 16 years and over 16 to 19 years 16 and 17 years 18 and 19 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, , , f , * , , , , *

48 HOUSEHOLD DATA 48 A 5: Employment status of persons 1621 years of age in the noninstitutional population by color and sex (In thousands) 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 parttime 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 parttime work Not in labor force Major activity: other Civilian labor force. Employed.. Agriculture Nonagricultural industries. Unemployed Percent of labor force Looking for fulltime work. Looking for parttime work. Not in labor force Both sexes Male Female 20,181 10, ,166 8, ,765 1, ,702 3,562 3,083 N.A. N.A ,624 5,607 4,979 N.A. N.A ,078 10,183 6, ,875 4, , ,015 2,144 1,844 N.A. N.A ,766 2,732 2,454 N.A. N.A ,998 4, ,291 3, , ,687 1,418 1,239 N.A. N.A ,858 2,875 2,525 N.A. N.A ,829 White Both sexes Male Female 17,634 9, ,124 7, , ,306 3,275 2,879 N.A. N.A ,564 4,850 4,374 N.A. N.A ,742 8,928 5, ,294 3, , ,450 1,971 1,723 N.A. N.A ,250 2,324 2,112 N.A. N.A ,706 3, ,830 3, , ,857 1,304 1,156 N.A. N.A ,314 2,526 2,262 N.A. N.A ,543 Both sexes Male Female 2,547 1, , , N.A. N.A ,060 A 6: Employment status of the noninstitutional population 16 years and over by color, age, and sex (In thousands) Men, 20 years Women, 20 years Both sexes, and over and over 1619 years Employment status and color TOTAL 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 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 2,448 79, ,689 72,506 3,281 69,225 3,183 53, ,496 70, ,319 64,798 2,928 61,870 2,522 48,070 0,436 76, ,778 70,676 3,478 67,198 3,102 53, ,792 68, ,576 63,088 3,107 59,980 2,488 48,540 56,793 47, ,783 43,472 2,648 40,823 1,310 9,151 51,144 42, ,327 39,265 2,342 36,923 1,063 8,224 56,021 46, ,390 42,880 2,760 40,120 1,511 9,1 50,459 42, ,973 38,712 2,454 36,258 1,259 8,181 61,571 25, ,089 23, ,585 1,103 36,460 55,086 21, ,797 20, , ,268, 60,563 23, ,954 22, , ,580 54,204 20, ,784 20, , , N.A. N.A ,083 1, N.A. N.A , N.A. N.A ,819 5, , ,730 12,265 5, ,194 4, , ,578 1, , N.A. N.A N.A. N.A ,853 5, ,434 4, , ,043 12,0 5, ,818 4, , ,966 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,951 8, ,370 7, , ,270,645 8, ,202 7, , ,195 5,650 4, ,455 4, , ,563 4, ,418 4, , ,484 3, ,292 3, , ,191 6,357 3, ,171 2, , ,186 1, ,152 1, ,077

49 HOUSEHOLD DATA A 7: Full and parttime status of the civilian labor force by age and sex February (In thousands) Age and sex TOTAL Fulltime schedules Fulltime labor force Employed Part time for Unemployed (looking for fulltime work) Number Percent of fulltime labor force Employed on voluntary part timel Parttime labor force Unemployed (looking for parttime work) parttime labor force 16 years and over 16 to 21 years 16 to 19 years and 17 years 18 and 19 years 20 years and over 20 to 24 years years and over to 64 years years and over. MALE 65,416 5,353 2,672 4l4 2,258 62,746 7,^65 55,281 53,432 60,765 4,468 2,l ,896 58,607 6,782 51,821 50,124 1,696 2, , ,827 1, ,273 3,8 3,147 1,865 1,282 7,126 1,5 5,990 4,849 1,143 9,459 3,294 2,710 1,588 1,122 6,749 1,0^10 5,709 4, T years and over 16 to 21 years 16 to 19 years 20 years and over 20 to 24 years 25 years and over to 64 years 65 years and over. FEMALE 44,266 2,721 1,363 42,904 4,263 38,640 37,304 1,335 41,574 2,276 1,096 40,479 3,923 36,553 35,323 1,229 1, , ,059 9Q9 70 1,372 2j , , ,683 2,154 1,804 1, , ,320 1,851 1,541 1, , :1 * 16 years and over 16 to 21 years 16 to 19 years 20 years and over 20 to 24 years 25 years and over to 64 years 65 years and over. 21,150 2,632 19^842 3,202 16, , ,191 2,192 1,064 18,128 2,859 15,268 14, i U 1 6 Employed persons with a job but not at work are distributed proportionately among the full and parttime employed categories. 6,590 1,659 1,343 5, ,654 4, ,9 1,443 1,169 4, U

50 HOUSEHOLD DATA A 8: Unemployed persons by age and sex Female Age Thousands of persons Unemployment Thousands of persons Unemployment rates Total, 16 years and over 1,735 1,869 1,448 1, to 19 years 16 and 17 years 18 and 19 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 heod, 16 years and over 16 to 24 years 25 to 54 years 55 years and over , A 9: Unemployed persons by marital status, age, sex, and color Male Female Marital status, age, and color Thousands of persons Unemployment rates Thousands of persons Unemployment Total, 16 years and over 1,735 1,869 1,448 1,233 Married, spouse present Widowed, divorced, or separated.. Single (never married) , Total, 20 to 64 years of age.. 1,253 1,436 1, Married, spouse present Widowed, divorced, or separated.. Single (never married) White, 16 years and over 1,400 1,536 1, Married, spouse present Widowed, divorced, or separated.. Single (never married) White, 20 to 64 years of age... 1,016 1, Married, spouse present Widowed, divorced, or separated.. Single (never married) Nonwhite, 16 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)

51 HOUSEHOLD DATA A10: Unemployed persons by occupation of last job and sex Occupation Thousands of persons Unemployment rates Male Total. 3,183 3,102 Whitecollar workers. Professional and technical Managers, officials, and proprietors. Clerical workers Sales workers Bluecollar workers Craftsmen and foremen Carpenters and other construction craftsmen All other Operatives Drivers and deliverymen All other Nonfarm laborers Construction laborers All other 1, , Service workers.... Private household. All other Farmers and farm "laborers No previous work experience. 16 to 19 years 20 to 24 years, 25 years and over Percent not shown where base is less than 100,000. Allz Unemployed persons by industry of last job and sex Industry Percent distribution Total Unemployment rates 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 All other classes of workers No previous work experience CD Percent not shown where base is less than 100,000.

52 HOUSEHOLD DATA A12: Unemployed persons by duration of unemployment Household head Duration of unemployment Thousands Percent distribution Percent distribution Total Less than 5 weeks 5 to 14 weeks 5 to 10 weeks 11 to 14 weeks 15 weeks and over to 26 weeks 27 weeks and over.. Average (mean) duration 3A83 1,58* 1,09* ,102 1,402 1, n.*.* * ,2 519 *76 3* , * *2 1 * io!7 1 1 * A: Unemployed persons by duration, sex, age, color, and marital status February Thousands of pers ons Sex, age, color, and marital status Total Less than 5 weeks 5 to 14 weeks 15 to 26 weeks 27 weeks and over Less than 5 weeks as a percent of unemployed in group IO weeks and over as i percent'of unemployec in group Total 16 to 21 years 16 to 19 years 20 to 24 years 25 to 44 years 45 years and over Male 16 to 21 years 16 to 19 years.. 20 to 24 years 25 to 44 years 45 years and over Female 16 to 21 years 16 to 19 years 20 to 24 years 25 to 44 years 45 years and over White: Total Male Female 3,183 1, *08 1, , * ,** *6 280 *9* 329 2,522 1,*00 1,122 1,58* * , ,00* 3* * *3 6** 190 1* * * * K> * * * 226 1* *3 26 * * *9 5*.l 51.* * 5 *9.* 59*2 *6»5 3* O *2*2 5 *6 5 * 50.2 * 5 ** 39.* * *8 * 5 * * 58.* 50 *7.* *5.* * * * 1 1 1* 2*.l * * * * 1* * 2 21.* Nonwhite: Total Male Female Male: Married, wife present Widowed, divorced, or separated... Single (never married) * * 360 2* * ** 35 9* *8 2* 2* 59 *1 **.l 39*0 *9«7 * ** * * * *.* Female: Married, husband present Widowed, divorced, or separated. Single (never married) *23 * *7 26 ko * *9.* * * * * 20

53 HOUSEHOLD DATA A14: Unemployed persons by duration, occupation, and industry of last job February Occupation and industry Thousands of persons 15 to 26 Less than 5 weeks as a percent of unemployed in group 15 weeks and over as a percent of unemployed in group OCCUPATION Whitecollar workers Professional and managerial Clerical workers Sales workers Bluecollar workers... Craftsmen and foremen.. Operatives Nonfarm laborers 1, , Service workers. INDUSTRY * Agriculture Construction Manufacturing Durable goods Nondurable goods, Transportation and public utilities. Wholesale and retail trade Finance and service industries. Public administration $ (2) (2) (2) (2) No previous work experience, includes wage and salary workers only. 2 Percent not shown where base is less than 100,000. A15: Employed persons by age and sex (In thousands) Age and type of industry All industries 16 to 19 years 16 and 17 years 18 and 19 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, Honagricultural industries 16 to 19 years 16 and 17 years and 19 years 20 to 24 years 25 to 54 years 25 to 34 years 35 to 44 years to 54 years 55 to 64 years 55 to 59 years 60 to 64 years 65 years and over Agriculture 16 to 19 years 16 and 17 years 18 and 19 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 years years and over 72,506 5,048 1,916 3,3 8,102 46,085 14,188 16,254 15,643 10,360 6,163 4,197 2,9 69,225 4,817 1,772 3,045 7,932 44,271,754 15,632 14,885 9,673 5,787 3,886 2,531 3, , ,676 4,799 1,803 2,996 7,620 45,291,711 16,214 15,366 10,048 5,927 4,121 2,920 67,198 4,553 1,662 2,891 7,414 43,415,266 15,553 14,596 9,319 5,550 3,769 2,500 3, , ,2 2,742 1,129 1,6 4,588 30,277 9,752 10,632 9,893 6,662 3,886 2,776 1,945 43,357 2,533 1,000 1,533 4,434 28,742 9,384 10,115 9,243 6,055 3,557 2,489 1,591 2, , ,586 2,706 1,093 1,6 4,386 30,055 9,550 10,723 9,782 6,478 3,768 2,710 1,963 42,606 2, ,520 4,215 28,474 9,160 10,176 9,8 5,850 3,450 2,400 1,583 2, , ,292 2, ,520 3,514 15,808 4,436 5,622 5,750 3,698 2,277 1, ,868 2,284* 772 1,512 3,498 15,529 4,370 5,517 5,642 3,618 2,230 1, ,089 2, ,383 3,234 15,236 4,161 5,491 5,584 3,570 2,159 1, ,591 2, ,371 3,199 14,941 4,106 5,377 5,458 3,469 2,100 1,

54 HOUSEHOLD DATA A16: Employed persons by occupation group, age, (In thousands) and sex Occupation Total Male, 20 years and over Female, 20 years and over Male, 1619 years Female, 1619 years 66 JS&L J3&L Total, 72,506 70,676 1*3,1*72 1*2,882 23,986 22,991* 2,71*2 2,706 2,306 2,093 'Whitecollar workers. 33,7**8 32,372 17,61*6 17,189 H*,H9, *3 1,326 1,151 Professional and technical Medical and other health Teachers, except college Other professional and technical Managers, officials, and proprietors..'... Salaried workers Selfemployed workers in retail trade... Selfemployed workers, except retail trade 10,081 1,661* 2,323 6,09* 7,252 5,9 1,01*1 1,072 9,129 1,500 2,061* 5,563 7,308 l*,5l*9 1,300 1,1*59 6, *, 699 1*,772 6,051 l*, , , 579 l*,339 6,197 3,883 1,023 1,290 3, ,615 1,153 1, * *3 3,1*1* ,1*80 1, i & I 1 6k * Clerical workers Stenographers, typists, and secretaries... Other clerical workers 12,058 3,051* 9,00l* 11,1*71 3,070 8,1*01 3,1**7 59 3,088 3,021* 51 2,973 7,588 2,661* l*,92l* 7,235 2, * H , Sales workers Retail trade. Other sales workers Bluecollar workers 1*,357 2,677 1,680 26,311* k,k6k 2,675 25,998 2 ^*^ 20,393 2,1* ,530 20,21*5 1,591 1,1*17 171* l*,260 1,618 1,1* l*,0l *7 1,1*1* ,1* * Craftsmen and foremen Carpenters Construction craftsmen, except carpenters Mechanics and repairmen Metal craftsmen, except mechanics Other craftsmen and kindred workers... Foremen, not elsewhere classified 9, 769 1,783 2,1*93 1,231 1,791 1,391* 8, ,733 2,256 1,108 1,71*1 1,281* 9,009 71*1 1,752 2,385 1,195 1,650 1,286 8, ,698 2,171* 1,091 1,579 1, * * * * Operatives Drivers and de liverymen Other operatives Durable goods manufacturing Nondurable goods manufacturing Other industries Nonfarm laborers Construction Manufacturing Other industries Service workers Private household workers Service workers, except private household.. Protective service workers Waiters, cooks, and bartenders Other service workers Farm workers. Farmers and farm managers Farm laborers and foremen Paid workers Unpaid family workers,667 2,1*05 11,262 l*,81*0 3,586 2,836 3,186 5M* 1,105 1,537 9,1*31* 1,81*5 2,095 l*,580 3,0 1,907 1, ,836 2,509 11,325 3^730 2,898 S 1,018 1,576 9,100 1,990 7, * 1,885!*,36l 3,208 2,056 1, ,853 1,788 2,531 1*93 9^7 1,091 2, , V6 1,61*9 2,1*1*5 1,788 9,081* 2,3H* 6,770 3,3**O 1,606 1,821* 2, ,153 2, , k6k 1,586 2,565 1,921 61*1* 595 1*9 3, ,860 1,256 1, ,258 1,1*79 3, ,325 2,1* !* ,7l*2 59 3,682 1,076 1, ko 23 5,161 1,595 3, ,183 2,332 1*21* * *3 1* *1*8 21 1*27 111* *0 211* f 271* * * li*

55 HOUSEHOLD DATA A17: Employed persons by major occupation group, color, and sex (Percent distribution) Occupation group and color TOTAL Total employed (thousands) Percent 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 72, O 10 70, , , , : , WHITE Total employed (thousands) Percent T 64,798 to, ,127 23,046 21,961 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 tx NON WHITE Total employed (thousands) Percent 7,708 7,589 4,462 4,460 3,246 3,128 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 ,

56 HOUSEHOLD DATA A18: Employed persons by class of worker, age, and sex February (In thousands) Nonagri cultural industries Agriculture Age and sex Wage and salary workers Private household workers Self employed Unpaid family workers Wage and salary workers Self employed Unpaid family Total... :,.. 16 to 19 years 16 and 17 years...,18 and 19 years to 24 years 25 to 34 years to 44 years 45 to 54 years 55 to 64 years 5 5 to 59 years 60 to 64 years.. 65 years and over... Male 16 to 19 years 16 and 17 years 18 and 19 years 20 to 24 years 25 to 34 years 35 to 44 years to 54 years to 64 years to 59 years. 60 to 64 years. 65 years and over. 63,685 4,7 1,718 2,995 7,778,086 14,315,329 8, ^984 39,510 2,46l 961 1,500 4,357 8,940 9,175 8,159 5,209 3,069 2,l4o 1,211 1, l , * ,193 2,299 2,kS9 2,6lk 1,631 1, , l ,415 1,453 1,503 87k ,677 3,81 1,301 2,542 6,1*35 10,620 11,529 10,304 6,434 3,869 2,565 I,k62 33,209 2, ,352 3,845 7,512 7,706 6,640 4,301 2,532 1,769 I,oo4 5, ,198 1,430 1,1 651 k ,790 k , , Ik , , Female to 19 years and 17 years 18 and 19 years 20 to 24 years to 34 years to 44 years 45 to 54 years to 64 years 55 to 59 years. 60 to 64 years. 65 years and over. 24,175 2, ,1+95 3,421 4,146 5,l42 5,170 3,274 2,019 1, , k 15k , k 1,036 1, k ,^ 1, ,191 2,639 3,108 3,825 3,664 2, , "e

57 HOUSEHOLD DATA A19: Employed persons with a job but not at work by reason, pay status, and sex (In thousands) All industries Nonagricultural industries Reason not working Wage and salary workers Unpaid absence Total Vacation Illness Bad weather. Industrial, dispute, All other reasons. 2,*97 1,21V 227 2,5*6 too 1,238 3x ,307 *55 1,1*7 il *95 2,29* 382 1,17* * * 253 *1* , ^ ,1* MaU Vacation Illness All other reasons., l,6l* * *7l 276 * > 267 F.moU...,, Vacation Illness.. All other reasons *6l * 862 1*3 * * L 67 1* * 3H 157 A20: Persons at work by type of industry and hours of work February Thousands of persons Percent distribution Hours of work All industries Nonagricultural industries All industries Agriculture Nonagricultural industries Agriculture Total at work 4 hours 14 hours 514 hours 1529 hours 3034 hours 35 hours and over 3539 hours 40 hours 41 hours and over 41 to 48 hours 49 to 59 hours 60 hours and over Average hours, total at work Average hours, workers on fulltime schedules 70,010 16,279 3,560 7,255 *,662 53,733. *,393 27,175 22,163 9,750 6,9 5, N.A. 66, ' 7 1I 3,285 6,708 *,50* 51,677 4,187 26,863 20,627 9,*62 6,*21 *,7** 39.* N.A. 3, * , , *9* 757 * N.A. 2!:! «9 2 * l*.l * N.A.Not available.

58 HOUSEHOLD DATA A21: Persons at work 4 hours by usual status and reason working part time February (In thousands) All industries Nonagricultural industries Reasons working part time Total Usually work full time Usually work Usually work full time Usually work part time Total. 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 di spute Legal or religious holiday. Full time for this job... All other reasons 16,279 2,283 1, lh 609,993 7, , ,381 1, ,230 1,370 1, , ,W , ,0k6 15, ,4 7, , ,001 1,3* ,239 7, , ,381 1,083 8*iO 5,756 1, ,584 1, , , ,655 7, , Average hours: Economic reasons Other reasons Worked 30 to 34 hours: Economic reasons Other reasons 692 3,970 2, , ,865 50* 2,6kk 5 1,221 A22: Nonagricultural workers by full or parttime status February Industry Total at work On part time for economic reasons On voluntary part time Percent distributioi On fulltime schedules 40 hours or less 41 to 48 hours 49 hours or more Average hours, total at work Average hours, workers on fulltime schedules Total Wage 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 * k o 1 1 k.k 2 a Qk.k *0.1 6 ke.e U V k N.A. N.A. N.A. N.A. N.A. N.A. N.A. N.A. N.A. N.A. N.A. N.A. N.A. N.A. N.A.

59 HOUSEHOLD DATA A23: Persons at work in nonagricuitural industries by full or parttime status, age, sex, color, and marital February status 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 41 hours or more Average hours, total at work Average hours, workers on fulltime schedules^./ (In thousands) TOTAL 16 years and over 16 to 21 years 16 to 19 years.. 16 and 17 years. 18 and 19 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 66,918 7,592 4,706 1,734 2,972 62,212 7,790 54,422 28,561 23,492 2,369 2, , , ,655 3,093 2,542 1,465 1,077 6, ,116 2,299 1, , 260 4, 228 2, , , 254 6, , , , 837 1, ,633 3,142 1, ,384 34,086 4,482 29,604 15,495, ,627 1, ,168 2,045 18,123 10,011 7, MALE 16 years and over 16 to 21 years 16 to 19 years 16 and 17 years 18 and 19 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 41,912 3,935 2, ,486 39,445 4,359 35,086 18,995 14,618 1,473 1, ,902 1,701 1, , , ,927 2, ,963 3,732 33,231 18,314, ,294 1, ,609 2,166 18,443 9,785 8, , ,354 1,566 14,788 8,529 5, FEMALE 16 years and over 16 to 21 years 16 to 19 years 16 and 17 years 18 and 19 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 25,006 3,656 2, ,486 22,767 3,431 19,336 9,566 8, ,753 1,391 1, , ,1 2,054 1, ,334 2,8 1, ,291 2,795 14,496 7,192 6, ,340 1, ,477 2,316 11,161 5,710 5, , , ,335 1,482 1, WHITE Total... Male Female 59,850 37,924 21,926 1, ,770 2,677 5,092 50,559 34,377 16,180 31,484 18,825 12,657 19,075 15,552 3, NON WHITE Total Male Female 7,068 3,987 3, ,702 3,548 2,155 4,152 2,468 1,684 1,550 1, MALE Married, wife present Widowed, divorced, or separated Single (never married) 33,577 1,967 6, ,884 31,911 1,758 4,256 17,375 1,053 2,865 14, , FEMALE Married, husband present Widowed, divorced, or separated Single (never married) 14,334 5,156 5, , , ,354 4,103 3,877 8,193 3,039 3,109 2,161 1, / New series to begin later in

60 ii HOUSEHOLD DATA A23: Persons at work in nonagricultural industries by full or parttime status, age, sex., color, and marital status Continued February 1,967 On fulltime schedules Age, sex, color and marital status On part time for economic reasons On voluntary part time Total 40 hours or less 41 hours or more (Percent distribution) TOTAL 16 years and over 16 to 21 years 16 to 19 years 16 and 17 years 18 and 19 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 , 100, 100, , , 100, 100, 100, tT 3 2 MALE 16 years and over 16 to 21 years.. 16 and 19 years 16 and 17 years 18 and 19 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 FEMALE 16 years and over 16 to 21 years 16 to 19 years 16 and 17 years 18 and 19 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 WHITE Total Male Female 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) ,

61 HOUSEHOLD DATA A24: Persons at work in nonfarm occupations by full or parttime status and sex February Occupation group and sex Total at work On part time for On voluntary pan time Total On fulltime schedules 40 hours or less hours 49 hours or more Average hours, total at work Average hours, workers on fulltime schedules/ (Thousands of persons) TOTAL Whitecollar workers. 32,800 Professional and technical. 9,860 Managers, officials, and proprietors 6,983 Clerical workers Sales workers. 11,744 4, ,4 1, ,905 1,027 28,023 8,592 6,650 9,675 3,106 17,269 5,075 2,601 7,935 1,658 4,173 1,329 1,153 1, ,581 2,188 2, Bluecollar workers Craftsmen and foremen Operatives Nonfarm laborers 25,262 9,074,4 3,054 1, , ,579 8,519 11,695 2,365 14,697 5,229 7,748 1,720 4,291 1,761 2, ,591 1,529 1, Service workers Private household... Other service workers 9,108 1,794 7, , ,863 5, ,193 3, ,346 1, , MALE Whitecollar workers Professional and technical Managers, officials, and proprietors Clerical workers Sales workers 17,821 6,091 5,864 3,354 2, , ,479 5,658 5,677 2,974 2,170 8,1 3,103 2,033 2, , , ,518 1,676 2, Bluecollar workers Craftsmen and foremen Operatives Nonfarm laborers 20,970 8,831 9,193 2, , ,981 8,317 8,382 2,282 11,706 5,075 4,978 1,653 3,804 1,726 1, ,471 1,516 1, ; 3 Service workers Private household Other service workers 3, , , ,618 1, , FEMALE Whitecollar workers Professional and technical Managers, officials, and proprietors Clerical workers Sales workers 14,977 3,769 1,119 8,389 1, , , ,542 2, , ,155 1, , , , Bluecollar workers Craftsmen and foremen Operatives Nonfarm laborers 4, , , , , , Service workers Private household Other service workers 5,785 1,750 4, , ,283 3, ,576 2, , New series to begin later in.

62 HOUSEHOLD DATA A24: Persons at work in nonfarm occupations by full or parttime status and sexcontinued February Occupation group and sex Total at work On part time for economic reasons On voluntary part time On fulltime schedules 40 hours or less 41 to 48 hours 49 hours or more (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 6 d Zh.k I » , 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 4, p k 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 l' l o ol 8 83.I O li

63 HOUSEHOLD DATA A25: Employment status of yearolds by sex and color February (In thousands) Employment status Both sexes Total Male Female Both sexes Non white Male Female Civilian noninstitutional population. Civilian labor force Employed,... Agriculture Non agricultural industries... Unemployed Not in labor force Keeping house.., Going to school Unable to work All other reasons 7,3*7 i,o4i t , , , *5 62 3, ,01k xl 3,621 1H * * 3, , ,320 2* 3, * ,671 2, , ,724 2, H 15 *95 6k kl " Ik A26: Employed yearolds by sex, major occupation group, and class of worker February Thousands of persons Percent distribution Characteristics Both sexes Male Both sexes Male Female Total CLASS OF WORKER 95* 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.' b * * * 3 8.* *.2 5*.l * 1 97^T *.2 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 k ko Ik k 119 2* * It S 66 11* k *9 31* * A * * * * 6* 1 1 * *

64 HOUSEHOLD DATA SEASONALLY ADJUSTED A 2 7 : E m p l o y m e n t status of the nonirestitutional p o p u l a t i o n by a g e and sex, s e a s o n a l l y a d j u s t e d (In thousands) Employment status, age, and sex Nov. Sept. Aug. July June May Apr. Mar. Total Total labor force Civilian labor force. Employed Agriculture Nonagricultural industries..., On part time for economic reasons Usually work full time Usually work part time Unemployed Men, 20 /ears and over Total labor force Civilian labor force Employed Agriculture Nonagricultural industries Unemployed 80,1*43 77,025 7^,7 3,890 70,2^7 2,077 1, ,888 48,605 45,222 44,236 2,875 41, ,473 77,087 74,255 4,015 70,240 1,907 1, ,832 48,591 45,239 44,227 2,861 41,366 1,012 80,154 76,764 73,893 4,011 69,882 1, ,871 47,842 44,987 43,898 2,884 41,014 1,089 79,934 76,612 73,897 3,892 70,005 1, ,715 47,604 44,797 43,711 2,807 40,904 1,086 79,360 76,081 73,199 3,779 69,420 1, ,882 79,268 76,039 73,195 3,886 69,309 1, ,844 47,493 47,465 44,723 44,736 43,,654 43,655 2,800 2,875 40, ,780 1,069 1,081 79,247 78,905 76,069 75,770 73,141 72,846 3,935 3,926 69,206 68,920 1,699 1, ,012 2,928 2,924 47,506 44,822 43,688 2,852 40,836 1,4 47,370 44,723 43,577 2,846 40,731 1,146 78,767 75,668 72,730 3,981 68,749 1, ,938 78,194 75,149 72,253 3,902 68,351 1, ,896 78,349 75,341 72,542 4,199 68,343 1, ,799 47,376 47,278 47,404 44,759 44,707 44,811 43,615 43,624 43,731 2,854 2,888 3,035 40,761 40,736 40,696 1,144 1,083 1,080 78,091 78,050 75,117 75,126 72,266 72,341 4,1 4,155 68,153 68,186 1,656 1, ,851 2,785 47,297 44,769 43,617 2,974 40,643 1,152 47,301 44,783 43,645 2,997 40,648 1,8 Women, 20 years and over Civilian labor force Employed Agriculture Nonagricultural industries Unemployed 25,221 25,9 24,128 24, ,426 23,438 1, ,145 24, , ,884 23, , ,938 23, , ,504 24,321 23,556 23, ,904 22, ,193 23, , ,081 23, , ,019 23, , ,942 23,993 23,070 23, ,335 22, Both sexes, 1619 years Civilian labor force Employed Agriculture Nonagricultural industries Unemployed 6,732 5,8* , ,627 5, , ,638 5, , ,670 5, , ,474 5, , ,365 5, , ,743 5, , ,726 5, , ,716 5, , ,361 5, , ,511 5, , ,406 5, , ,350 5, ,

65 A 2 8: Employment status by color, sex f and age, seasonally adjusted (In thousands) HOUSEHOLD DATA SEASONALLY ADJUSTED Characteristics Bfov. Oct. Sept. Aug. July June May Apr Mar. WHITE Total: Civilian labor force Employed Unemployed Unemployment rate.; Males, 20 years and over: Civilian labor force Employed Unemployed Unemployment rate Females, 20 years and over: Civilian labor force Employed Unemployed Unemployment rate Both sexes, 16 to 19 years: Civilian labor force Employed Unemployed Unemployment rate NONWHITE 68,605 66,335 2,270 40,779 40,736 39,985 39,9H 79k ,750 21,885 20,971 21, ,076 1 >>559 66,309 2,250 5,938 5, ,277 66,056 2,221 40,501 39,6^ ,802 21, ,974 5,328 6h ,147 67,576 67,369 7, 67,087 67,1*1 66,812 66,822 66,76Q66,775 66,020 65,307 65,181 65,179 64,812 64,828 64,503 64,619 64,533 64,577 2,127 2,269 2,188 2,242 2,275 2,3 2,309 2,203 2,235 2,198 3." 40,344 39, ,848 21, , o,249 39,39B ,524 20, ,803 5, ,220 39, ,567 20, ,582 4, ,3 39, ,165 20, ,943 5, ll.l 4o,l84 39, ,985 20,297 68Q 5,918 5, o,35l 39, ,878 20, ,912 5, ,272 39, , 20,880 20,4 '7*6 5,660 4, O,3H 39, ,727 20, ,784 5, ,366 39, ,657 5,745 5, ll.l 40,3 39, 1 * '941 20,742 20, ,670 5, Total: Civilian labor force... Employed Unemployed Unemployment rate Males, 20 years and over: Civilian labor force... Employed Unemployed Unemployment rate... Females, 20 years and over: Civilian labor force Employed Unemployed Unemployment rate Both sexes, 16 to 19 years: Civilian labor force... Employed Unemployed Unemployment rate 8,641 8,027 6lk,57 4, ,395 3, ,645 8, ,519 4, ,390 3, ,684 8, ,539 4, ,386 3, ,518 7, ,482 4, ,301 3, ,400 7, ,449 4, ,294 3, ,451 7, ,457 4, ,285 3, ,584 7, ,492 4, ,292 3, ,570 7, ,484 4, ,301 3, ,438 7, ,426 4, ,284 3, ,343 7, ,407 4, ,262 3, t ,511 7, ,453 4, ,322, ,477 7, ,478 4, ,293 3, ,472 7, ,478 4, ,275 3,

66 HOUSEHOLD DATA SEASONALLY ADJUSTED A29: Major unemployment indicators, seasonally adjusted ( Unemployment rates ) Selected categories Dec, Nov. Oct. Sept. Aug. July June May Apr. Mar. Total (all civilian workers).. Men, 20 years and over... Women, 20 years and over. Both sexes, 1619 years.. White workers Nonwhite workers. Married men»... Fulltime workers Unemployed 15 weeks and over.. State insured Labor force time lost. OCCUPATION k.o 1 2.k k.o k 1 U 2.k k.l 2.k 1 2.k 3.k n.k 6 3.k 2.k k.o 1 3.k k.l 2.k 1 k.2 1 3* k * 2.k k 1 * 2.k 1 1k 3.k k 2.k k k.l 1 6 k.o Whitecollar workers Professional and managerial. Clerical workers Sales workers... 3.* 1.* 2.k Bluecollar workers Craftsmen and foremen Operatives Nonfarm laborers Service workers. fc.l k k.2 k.l k k k 7 k k.o 8 k.o k.l k.l 6 k.l k.2 7 k.k k ^ 7 k.q k k.l k 2. k.k 7 3 k k.l k.2 k.2 k.k k.l 2 k.k INDUSTRY Private wage and salary workers3.. 7 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. lf.0 k.o 1,6 6.k k.l 8 k.l 9.2 k.k 8 * 8 k 3k k.o ^ k 3k 3.k ^ 5* 7 k.o k 8 k.o ^. k.o 2.k k 6.k 7.* * 6 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 manhours. Includes raining, not shown separately.

67 HOUSEHOLD DATA SEASONALLY ADJUSTED A30: Unemployed persons by duration of unemployment, seasonally adjusted (In thousands) Duration of unemployment Dec, flbv. Oct. Sept. Aug. July June May Apr. Mar. Less than 5 weeks... 5 to 14 weeks 15 weeks and over to 26 weeks weeks and over.. 1, li , , , , , , , , , , , , A31: Rates of unemployment by age and sex, seasonally adjusted Age and sex Nov. Oct. Sept. Aug. July June May Apr. Mar. Total, 16 years and over. 3,5 16 to 19 years. 16 and 17 years. 18 and 19 years 20 to' 24 years.. 25 years and over 25 to 54 years 55 years and over. 1 us.h ? Males, 16 years and over to 19 years 16 and 17 years 18 and 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over. Females, 16 years and over. 16 to 19 years 16 and 17 years 18 and 19 years to 24 years 25 years and over 25 to 54 years 55 years and over 1 1^ 10 2* S S *

68 HOUSEHOLD DATA SEASONALLY ADJUSTED A32: Employed persons by age and sex, seasonally adjusted (In thousands) Age and sex Sept. Aug. July June May Apr. Mar. 16 years and over TOTAL 16 to 19 years 16 and 17 years and 19 years 20 to 24 years 25 years and over 25 to 55 years 55 years and over 74,7 5,844 2,399 3,495 8,355 60,000 46,616,450 74,255 73,893 73,897 73,199 73,195 73,141 72,846 72,730 72,253 72,542 5,900 5,828 2,389 2,427 3,516 3,487 8,228 8,126 60,125 59,886 46,742 46,541,468,405 5,908 2,362 3,537 8,062 59,925 46,399,544 5,654 2,233 3,386 7,977 59,593 46,146,332 5,546 2,229 3,304 7,916 59,761 46,119,417 5,897 2,311 3,587 7,937 59,294 45,845,394 5,847 2,277 3,568 7,937 59,056 45,739,243 5,844 2,264 3,543 7,993 58,875 45,698,249 5,487 2,5 3,319 7,994 58,789 45,719,079 5,672 2,230 3,440 7,971 58,870 45,7,144 72,266 72,341 5,579 5,584 2,204 2,260 3,409 3,347 7,907 7,894 58,797 58,936 45, ,8,2, years and over 16 to 19 years 16 and 17 years 18 and 19 years. 20 to 24 years 25 years and over 25 to 55 years 55 years and over 16 years and over MALE FEMALE 16 to 19 years 16 and 17 years and 19 years 20 to 24 years 25 years and over to 55 years 55 years and over 47,475 3,239 1,444 1,852 4,812 39,474 30,697 8,777 26,662 2, ,643 3,543 20,526 15,919 4,673 47,533 47,116 47,011 46,824 46,769 47,036 46,917 46,960 46,736 47,016 3,306 1,453 1,867 4,721 39,493 30,776 8,758 26,722 26,777 26,886 26,375 26,426 26,105 25,929 25,770 25,517 25,526 2, ,649 3,507 20,632 15,966 4,710 3,218 1,463 1,802 4,588 39,259 30,519 8,767 2, ,685 3,538 20,627 16,022 4,638 3,300 1,451 1,858 4,594 39,098 30,331 8,805 2, ,679 3,468 20,827 16,068 4,739 3,170 1,369 1,790 4,586 39,085 30,3 8,741 2, ,596 3,391 20,508 15,833 4,591 3,114 1,347 1,778 4,570 39,090 30,302 8,749 2, ,526 3,346 20,671 15,817 4,669 3,348 1,405 1,934 4,592 39,087 30,311 8,738 2, ,653 3,345 20,207 15,537 4,656 3,340 1,399 1,930 4,575 39,002 30,264 8,715 2, ,638 3,362 20,054 15,475 4,528 3,345 1,406 1,910 4,607 39,005 30,3 8,731 2, ,633 3,386 19,870 15,385 4,518 3,112 1,288 1,789 4,599 39,025 30,390 8,605 2, ,530 3,395 19,764 15,329 4,474 3,285 1,389 1,891 4,615 39,099 30,426 8,639 2, ,549 3,356 19,771 15,287 4,505 46,859 46,849 3,242 3,204 1,367 1,398 1,883 1,852 4,640 4,607 39,004 39,085 30,41 30,471 8,618 8,609 25,40 25,492 2,33 2, ,526 1,495 3,26 3,287 19,793 19,851 15,304 15,342 4,514 4,534 A33: Employed persons by major occupation group, seasonally adjusted (in thousands) Occupation group Jan Sept. Aug. July June May Apr. Mar. Whitecollar workers Professional and technical Managers, officials, and proprietors Clerical workers Sales workers Bluecollar workers Craftsmen and foremen Operatives Nonfarm laborers Service workers Fanners and farm laborers 33,623 9,825 7,225 12,105 4,468 9,562 3,615 33,567 9,649 7,124 12,209 4,585 9,419 3,761 33,981 9,717 7,270 12,326 4,668 27,556 27,377 27,278 10,044 10,000 9,810, 973,888,975 3,539 3,489 3,493 9,593 3,694 34,217 9,584 7,578 12,378 4,677 26,849 9,677,802 3,370 9,608 3,666 33,825 9,527 7,450 12,086 4,762 26,741 9,610,749 3,382 9,528 3,514 33,729 9,445 7,557 11,984 4,743 26,898 9,642,722 3,534 9,518 3,615 33,770 9,467 7,584 12,048 4,671 27,063 9,723,766 3,574 9,44C 3,684 33,529 9,462 7,528 11,839 4,70C 27,081 9,616,863 3,602 9,440 3,6 33,247 9,261 7,49* 11,787 4,701 27,239 9,560 14,167 3,512 9,262 3,734 33,007 9,278 7,374 11,592 4,763 26,857 9,594,826 3,437, 9,156 3,637 32,883 9,193 7,273 11,595 4,772 26,926 9,534,816 3,576 9,149 3,902 32,631 9,061 7,280 11,496 4,794 26,987 9,499,882 3,606 9,249 3,871 32,522 8,912 7,276 11,539 4,795 27,282 9,464 14,206 3,612 9,328 3,864

69 ESTABLISHMENT DATA HISTORICAL EMPLOYMENT Table B1: Employees on nonagricultural payrolls, by industry division 1919 to date (In thousands) Year sad momh TOTAL Mining Coottace astni tkn Hanufacwring Traaspor* taeion and public utilities Wholesale aad retail tmde Wholesale Fi lea aad teal Service ntscellaneous Total Federal Saw aad local L k k 19^5 19k ?f v k 1965 : February, March. April. May... June.. July.. August September October. November. December. : January.. February. 27,088 27,350 24,3B2 25,827 28,394 28,040 28,778 29,8L9 29,976 30,000 3X, ,4?4 26,6k9 23,628 23,711 25,953 27,053 29,082 31,026 29,209 30,618 32,376 36,55k 40,125 42,452 41,883 to, 39k 41,674 43,88L 1*4,891 43,778 45,222 47,849 48,825 50,232 49,022 50,675 52,408 52,894 51,363 53,3 54,23^ 54,042 55,596 56,702 58,332 60,770 63,864 61,622 62,243 62,928 63,465 6k,563 64,274 64,484 64,867 65,190 65,389 65,904 64,328 64,283 1, ,212 1,101 1,089 1,185 1,114 1,050 1,087 1, , k k5 6k5 6k , ,012 1,185 1,229,321 1,446 1*606 1,497 1,372 1, ,145 1,112 1,055 1,150 1,294 1,790 2,170 1,567 1,094 1,2 1,661 1,982 2,169 2,165 2,333 2,6)3 2,63k 2,623 2,612 2,802 2,999 2,923 2,778 2,960 2,885 2,816 2,902 2,963 3,050 3,181 3,281 2,818 2,981 3A56 3,277 3,521 3,623 3,641 3,525 3,449 3,310 3,128 2,925 2,8k7 10,659 10,658 8,257 9,120 10,300 9,671 9,939 10,156 10,001 9,947 10,702 9,562 8,170 6,933. 7,397 8,501 9,069 9,827 10,794 9,k4O 10,278 10,985,192 15,280 17,602 17,328 15,524 14,703 15,545 15,582 14,441 15,241 16,393 16,632 17,549 16,314 16,882 17,243 17,174 15,945 16,675 16,796 16,326 16,853 16,995 17,274 18,032 19,081 18,518 18,651 18,774 18,906 19,258 19,123 19,391 19,i>33 19,538 19,522 19,430 19,236 19,197 3,7 3,998 3,459 S5 3 'S5 3,882 3,807 3,826 3, ,916 3,685 3,254 2,816 2,672 2,750 2,786 2,973 3,4 2,863 2,936 3,038 3,274 3,460 3,647 3,829 3,906 4,061 4,166 4,189 4,001 4,03k 4,226 4,248 4,290 4,084 4,141 4,244 4,241 3,976 4,011 4,004 3,903 3,906 3,903 3,951 4,033 4,7 4,035 4,056 4,077 4,115 4,180 4,171 4,15k 4,218 4,198 4,208 4,200 k,l65 4,158 4,514 4,467 4,589 4,903 5,290 5,kO7 5,576 5,784 5,908 5,874 6,123 5,797 5,28k 4,683 4,755 5,281 5,431 5,809 6,265 6,179 6,426 6,750 7,210 7,H8 7,058 7,314 8,376 8,955 9,272 9,264 9,386 9,742 10,004 10,247 10,235 10,535 10,858 10,886 10,750 21,127 n,391 11,337 H,778 12,160 12,683,220 12,738 12,826,015,061,239,225,224,253,385,599 14,241,319 A82 1,684 1,754 1,873 1,821 1,741 2A90 2,361 2,489 2,487 2,^ 2,606 2,687 2,727 2,739 2,946 3,004 2,993 3,056 3,104 3,189 3,317 3,^59 3,367 3,37k 3,386 3,k00 3,473 3,5H 3', 521 3,533 3,55k 3,512 3,k99 4,742 4,996 5,338 5,297 5,241 5,296 5,452 6,186 6,595 6,783 6,778 6,868 7,6 7,317 7,520 7,496 7,740 7,974 7,992 7,902 8,182 8,388,3*4 8,SH 8,675 8,971 9,366 9,761 9,371 9,452 9,629 9,661 9,766 9,71k 9,703 9,755 9,86k 10,066 10,687 9,807 9,683 1,121 1,175 1,163 1,144 1,190 1,233. 1,233 1,305 1,367 1,435 1,509 1,475 l,k07 1,341 1,295 1,319 1,335 1,388 1,432 1,425 1,462 1,502 1,549 1,538 1,502 1,476 1,497 1,697 1,754 1,829 1,857 1,919 1,991 2,069 2,146 2,23k 2,335 2,429 2,477 2,519 2,52* 2,669 2,731 2,800 2,877 2,957 3,019 3,086 3,02k 3,Ok3 3,056 3,070 3,112 3,lk8 3,lk6 3,109 3,099 3,098 3,105 3,095 3,109 2,263 2,362 2,412 2,503 2,684 2,782 2,86 3,046 3,168 3,265 3,4kO 3,376 3,183 2,93k 2,873 3,058 3,142 3,326 3,518 3,473 3,517 3,681 3,921 4,084 4,148 4,163 4,241 4,719 5,050 5,206 5,26k 5,382 5,576 5,730 5,867 6,002 6,274 6,536 6,749 6,806 7,0 7,k23 7,66^ 8,028 8,325 8,709 9,098 9,582 9,250 9,331 9,k65 9,572 9,702 9,782 9,772 9,707 9,751 9,739 9,733 9,673 k 2,676 2,603 2,528 2,538 2,607 2,720 2,800 2,846 2,915 2,995 3,065 3,248 3,26k 3,225 3A66 3 '?t? 3,k8l 3,668 3'E 6 3,883 3,995 4,202 4,660 5,483 6,080 6,043 5,9k4 5,595 5,474 5,650 5,856 6,026 6,g>9 6& 6,751 6,^14 7,277 7,616 7,839 8,083 8,353 8,594 8,890 9,2^5 9,596 10,091 10,850 10,622 10,735 10,795 10,83k 10,906 10,557 10,507 10,885 n.,9 11,285 Il,kk2 11,302 k l,3ko 2,2 2,905 2,928 2,808 2,254 1,092 1,863 1,908 1,928 2,302 2,420 2,305 2,188 2,187 2,209 2,217 2,191 2,233 2,27 2,279 2,^0 2,358 2,3^8 2,378 2,565 2,431 2,46o 2,k93 2,5 2,592 2,637 2,6kl 2,589 2,612 2,641 2,769 2,6k3 2,665 2,532 2,622 2,704 2,666 2,6)1 2,647 2,728 2,842 2,923 3,054 3,090 3,206 3,320 3,270 3,174 3,116 3,7 3,3kl 3,582 3,787 3,9k8 4,098 4,087 4,188 4,3kO 4,563 4,727 5,069 5,850 6,083 6,315 * 249 7*3 8,191 8,275 8,302 8,321 8,31k 7,920 7,866 8,296 8,527 8 f 6Hh 8,673 8,659 8,772 NOTE: Data include Alaska aad Hawaii beginning This inclusion has resulted is an increase of 212,000 (0.4 pesemm) is eis noaagdctagetsm! satsi g@r g # ft&rca 1959 kzwektmsk Data for the 2 moss recent nonths are preliminary. Digitized for FRASER

70 ESTABLISHMENT DATA EMPLOYMENT Table B2: Employees on nonagricultural payrolls, by industry (In thousands) SIC CODE TOTAL Industry Jfeb. 6k,283 64,328 All employees 65,90^ 61,439 63,864 Production workers 1 MINING H loi 102 METAL MINING Iron ores. Copper.ores ,12 12 COAL MINING Bituminous 14 1^ ,2 8 CRUDE PETROLEUM AND NATURAL GAS.... Crude petroleum and natural gas fields... Oil and gas field services QUARRYING AND NONMETALLIC MINING Crushed and broken stone. Sand and gravel CONTRACT CONSTRUCTION 2, , , , ,281 2, , , , ,789 GENERAL BUILDING CONTRACTORS 97 1, , HEAVY CONSTRUCTION Highway and street construction Other heavy construction ,24,25, , 2631 SPECIAL TRADE CONTRACTORS Plumbing, heating, and air conditioning... Painting, paperhanging, and decorating.. Electrical work Masonry, plastering, stone and tile work.. Roofing and sheet metal work MANUFACTURING DURABLE GOODS NONDURABLE GOODS... 19,197 LL,320 7,877 1, ,236 11,348 7,888 1, : ,446 7,984 1, ,333 10,707 7,626 1, ,081 11,186 7,896 14,197 8,351 5,846 1, , l4,44o 14,245 8,482 8,381 5,958 5,864 1, ,617 7,9^2 5,675 1, ^,199 8,301 5,898 Durable Goods ,3,5, 6,9, ORDNANCE AND ACCESSORIES. Ammunition, except for small arms... Guided missiles and spacecraft, complete Sighting and fire control equipment Other ordnance and accessories I 87.O ,2 249 LUMBER AND WOOD PRODUCTS, EXCEPT FURNITURE Logging camps and logging contractors.. Sawmills and planing mills Sawmills and planing mills, general.... Mill work, plywood, and related products.. Millwork Veneer and plywood Wooden containers Wooden boxes, shook, and crates Miscellaneous wood products * U ^ O * ^ See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

71 ESTABLISHMENT DATA EMPLOYMENT B2: Employees on nonagricultural payrolls, by industrycontinued SIC Code Industry (In thousands) All employees Production workers' Durable GoodsContinued ,9 FURNITURE AND FIXTURES Household furniture Wood house furniture, unupholstered... Wood house furniture, upholstered Mattresses and bedsprings Office furniture Partitions; office and store fixtures Other furniture and fixtures kl.l I * I 27, , STONE, CLAY, AND GLASS PRODUCTS Flat glass Glass and glassware, pressed or blown... Glass containers Pressed and blown glassware, n.e.c Cement, hydraulic Structural clay products Brick and structural clay tile Pottery and related products... Concrete, gypsum, and plaster products... Other stone and mineral products Abrasive products O t * it O , ' O , , , PRIMARY METAL INDUSTRIES ; Blast furnace and basic steel'products.... Blast furnaces, steel and rolling mills... Iron and steel foundries Gray iron foundries Malleable iron foundries Steel foundries F. Nonferrous smelting and refining Nonferrous rolling, drawing, and extruding.. Copper rolling, drawing, and extruding... Aluminum rolling, drawing, and extruding. Nonferrous wire drawing and insulating.. Nonferrous foundries Aluminum castings Other nonferrous castings Miscellaneous primary metal industries.... Iron and steel forgings 1, * > k6> O , O , * , , I 4 1, , , , I , ,3, , , ,8 FABRICATED METAL PRODUCTS Metal cans Cutlery, hand tools, and general hardware.. Cutlery and hand tools, including saws.. Hardware, n.e.c Heating equipment and plumbing fixtures... Sanitary ware and plumbers' brass goods. Heating equipment, except electric Fabricated structural metal products Fabricated structural steel Metal doors, sash, frames, and trim Fabricated plate work (boiler shops)... Sheet metal work... Architectural and misc. metal work... Screw machine products, bolts, etc Screw machine products Bolts, nuts, screws, rivets, and washers Metal stampings Coating, engraving, and allied services... Miscellaneous fabricated wire products.. Miscellaneous fabricated metal products... Valves, pipe, and pipe fittings 1, «7 83.O , O ^* Hi , &s 1* See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary. 1, , O ,2 1,057* , U ,078 52, « B 1, *1 60 1, * ,

72 ESTABLISHMENT DATA EMPLOYMENT Table B2: Employees on nonagricultural payrolls, by industry Continued SIC Code Industry (In thousands) All employees Production workers' Av Avg. Durable GoodsContinued , , , , , MACHINERY. Engines and turbines Steam engines and turbines Internal combustion engines, n.e.c Farm machinery and equipment Construction and related machinery Construction and mining machinery... Oil field machinery and equipment Conveyors, hoists, and industrial cranes. Metalworking machinery and equipment... Machine tools, metal cutting types... Special dies, tools, jigs, and fixtures.. Machine tool accessories.... Miscellaneous metalworking machinery.. Special industry machinery Food products machinery Textile machinery Printing trades machinery General industrial machinery Pumps; air and gas compressors Ball and. roller bearings Mechanical power transmission goods.. Office, computing, and accounting machines Computing machines and cash registers Service industry machines Refrigeration, except home refrigerators Miscellaneous machinery ELECTRICAL EQUIPMENT AND SUPPLIES.... Electric distribution equipment Electric measuring instruments Power and distribution transformers... Switchgear and switchboard apparatus... Electrical industrial apparatus Motors and generators Industrial controls Household appliances Household refrigerators and freezers... Household laundry equipment Electric housewares and fans.." Electric lighting and wiring equipment..., Electric lamps Lighting fixtures Wiring devices Radio and TV receiving sets Communication equipment Telephone and telegraph apparatus Radio and TV communication equipment.. Electronic components and accessories... Electron tubes Electronic components, n.e.c Misc. electrical equipment and supplies.... Electrical equipment for engines... 1, , , , , , , , , , , , , , , , , , , , , , ,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 Boat building and repairing Railroad equipment Other transportation equipment 1, , , , , , , , , , ,3 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

73 ESTABLISHMENT DATA EMPLOYMENT Table B2: Employees on nonagricultural payrolls, by industry Continued (In thousands) SIC Code Industry 1957 All employees 19&7 Production workers * Durable GoodsContinued , INSTRUMENTS AND RELATED PRODUCTS Engineering and scientific instruments.. Mechanical measuring and control devices Mechanical measuring devices. Automatic temperature controls, Optical and ophthalmic goods Ophthalmic goods. Surgical, medical, and dental equipment... Photographic equipment and supplies.. Watches and clocks (*) *1** * * ; , I 42^ ,9 393 MISCELLANEOUS MANUFACTURING INDUSTRIES Jewelry, silverware, and plated ware Toys, amusement, and sporting goods Toys, games, dolls, and play vehicles.. Sporting and athletic goods, n.e.c Pens, pencils, office, and art materials... Costume jewelry, buttons, and notions.... Other manufacturing industries Musical instruments and parts 1* *20.4 1* * I 1* * 1* ^ O < * * Nondurable Goods ,6 2032, FOOD AND KINDRED PRODUCTS Meat products Meat packing.' Sausages and other prepared meats.... Poultry dressing and packing Dairy products Ice cream and frozen desserts Fluid milk Canned and preserved food, except meats. Canned, cured, and frozen sea foods... Canned food, except sea foods Frozen food, except sea foods Grain mill products Flour and other grain mill products.... Prepared feeds for animals and fowls.. Bakery products Bread, cake, and perishable products.. Biscuit, crackers, and pretzels, Sugar Confectionery and related products Candy and other confectionery products. Beverages Malt liquors Bottled and canned soft drinks Miscellaneous food and kindred products. TOBACCO MANUFACTURES. Cigarettes Cigars TEXTILE MILL PRODUCTS. Cotton broad woven fabrics Silk and synthetic broad woven fabrics.. Weaving and finishing broad woolens... Narrow fabrics and small wares Knitting Women'* full and knee length hosiery. All other hosiery Knit outerwear Knit underwear Finishing textiles, except wool and knit. Floor covering.. Yarn and thread Miscellaneous textile goods 1, * $k* n 1, " as !l , «19 5* ** : * 21* 1* 1* % *41 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary. 1, « " l4l , S O I 1, C 36.S IO 6 1, I O , " , I O , ) * I 1, O IO6 6

74 ESTABLISHMENT DATA EMPLOYMENT 74 Table B2: Employees on nonagricultural payrolls, by industrycontinued (la thousands) SIC Code Industry All employees Production workers 1 Avg , , ,2, , ,6,7, , ,2 286, , ,3, ,3,57, Nondurable GoodsContinued APPAREL AND RELATED PRODUCTS Men's and boys' suits and coats Men's and boys' furnishings Men's and boys' shirts and nightwear... Men's and boys' separate trousers Work clothing Women's, misses', and juniors' outerwear.. Women's blouses, waists,and shirts... Women's, misses', and juniors' dresses.. Women's suits, skirts, and coats Women's and misses' outerwear, n.e.c... Women's and children's undergarments... Women's and children's underwear... Corsets and allied garments Hats, caps, and millinery Girls' and children's outerwear Children's dresses, blouses, and shirts.. Fur goods and miscellaneous apparel... Miscellaneous fabricated textile products. Housefurnishings... PAPER AND ALLIED PRODUCTS Paper and pulp Paperboard Converted paper and paperboard products.. Bags, except textile bags Paperboard containers and boxes... Folding and setup paperboard boxes Corrugated and solid fiber boxes... PRINTING, PUBLISHING, AND ALLIED INDUSTRIES Newspaper publishing and printing Periodical publishing and printing... Books Commercial printing Commercial printing, except lithographic. Commercial printing, lithographic Bookbinding and related industries... Other publishing and printing industries... CHEMICALS AND ALLIED PRODUCTS Industrial chemicals... Alkalies and chlorine Industrial organic chemicals, n.e.c Industrial inorganic chemicals, n.e.c.... Plastics materials and synthetics... Plastics materials and resins... Synthetic fibers... Drugs... Pharmaceutical preparations Soap, cleaners, and toilet goods Soap and detergents Toilet preparations Paints, varnishes, and allied products... Agricultural chemicals Fertilizers, complete and mixing only... Other chemical products PETROLEUM REFINING AND RELATED INDUSTRIES Petroleum refining, Other petroleum and coal products. RUBBER AND MISCELLANEOUS PLASTICS PRODUCTS...; Tires and inner tubes Other rubber products Miscellaneous plastics products... LEATHER AND LEATHER PRODUCTS.'. Leather tanning and finishing Footwear, except rubber.". Other leather products Handbags and personal leather goods... 1,1* k.2 * * , it 33*. 2 5~ 97*.* * k * 3 52* J 23*.o , U 12 S3 U * * *0 2ll* 6 9 1, * * 2l* 121* ** ^1* ,1* * 8l«5 1*2 1** O ** * l* * l,o5* 36 7* *! * 37 1* * * * 35 3* 23* 88 3 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary. 1, * * 8I *1.: H k ? l* H io*!o h 5 38.* *93.* * 209.* 35* * 3*.O 1, * )3 83.O * * * 1, * *.* I 120.* * * * 3 5.* l* ,21* * 1*0 52* U6.k * 69 61*.l ,3 *1 7 ll* 18 30* *.* l,23*.o * 11* 7* * 1* 1* 525.* * 5 7* *.l 1* 9* * * *1 77 1* * *.l * *.l 58.O **1 1* * ^8 67.I 2 2l* 3* * * 20 7* 31.* 1, Ef:i it:! 6 10*.l 69 3* 2l* * * * * 1* H * 1,21* * 185.O l* 7 1* *.* * * 178 Hi *5.* **9 5 8.* * *00 7 1*

75 ESTABLISHMENT DATA EMPLOYMENT Table B2: Employees on nonagricultural payrolls, by industry Continued (In thousands) SIC Code Industry All employees Avg. 1Q67 Production workers ^ 1Q66 1Q66 Avg TRANSPORTATION AND PUBLIC UTILITIES RAILROAD TRANSPORTATION. Class I railroads 4,158 4, , , , LOCAL AND INTERURBAN PASSENGER TRANSIT, Local and suburban transportation. Taxicabs Intercity and rural bus lines , , MOTOR FREIGHT TRANSPORTATION AND STORAGE Public warehousing AIR TRANSPORTATION Air transportation, common carriers PIPELINE TRANSPORTATION OTHER TRANSPORTATION COMMUNICATION Telephone communication Telegraph communication * Radio and television broadcasting ELECTRIC, GAS, AND SANITARY SERVICES.. Electric companies and systems. Gas companies and systems Combined utility systems Water, steam, and sanitary systems WHOLESALE AND RETAIL TRADE... WHOLESALE TRADE Motor vehicles and automotive equipment. Drugs, chemicals, and allied products... Dry goods and apparel Groceries and related products Electrical goods Hardware, plumbing, and beating goods.. Machinery, equipment, and supplies Miscellaneous wholesalers,182 3, ,319 3, ,19 1, ,241 3, ,205, L2,835 3, ,9 1, ,220 3, ,17 11,707 2, LI,854 2, , ,767 3, , ,433 2, ,789 2, RETAIL TRADE GENERAL MERCHANDISE STORES Department stores Mail order houses Limited price variety stores... POOD STORES Grocery, meat, and vegetable stores APPAREL AND ACCESSORIES STORES Men's and boys' apparel stores Women's readytowear stores Family clothing stores Shoe stores 9,683 9,807 1,97 1, ,59 1, ,687 2,539 1, ,61 1, ,464 1,91 1, ,519 1, ,761 1,97 1, ,55 1, ,754 8,889 1,81 1, ,478 1, ,758 2J37 1, ,50 1, ,577 1,75 1, ,410 1, ,860 1,81 1, ,44 1, ,55, ,2 553, FURNITURE AND APPLIANCE STORES Fumiowe and borne furnishings EATING AND DMNKMG PLACES OTHER RETAIL TRADE Building materials and hardware Auto dealers and service stations Motor vehicle dealers Other vehicle and accessory dealers Gasoline service stations Miscellaneous retail stores Drug stores Farm and garden supply stores... Fuel and ice dealers ,98 3, ,48 75, , ,02 3, , , ,90 3, , , ,01 3, 547 1, , ,85 2, ,88 2, ,77 2, ,880 2, See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

76 ESTABLISHMENT DATA EMPLOYMENT Table B2; Employees on nonagricultural payrolls, by industrycontinued SIC Code Industry (In thousands) All employees Avg. Production workers 1 Avg , 66,67 FINANCE, INSURANCE, AND REAL ESTATEA Banking Credit agencies other than banks... Savings and loan associations Personal credit institutions Security dealers and exchanges Insurance carriers Life insurance Accident and health insurance Fire, marine, and casualty insurance... Insurance agents, brokers, and services.... Real estate Operative builders. Other finance, insurance, and real estate... 3,109 3, , , , ,470 2, , , , , SERVICES AND MISCELLANEOUS... Hotels and lodging places Hotels, tourist courts, and motels... Personal services. Laundries, cleaning and dyeing plants. Miscellaneous business services Advertising Credit reporting and collection agencies Motion pictures.. Motion picture filming and distributing.. Motion picture theaters and services... Medical and other health services Hospitals Legal services. Educational services Elementary and secondary schools... Higher educational institutions Miscellaneous services Engineering and architectural services. Nonprofit research organizations GOVERNMENT. 9,745 11,437 9, , , ,33 1, , ,302 9, , , ,31 1, , ,442 9, , ,147 1, , ,490 9, , , ,23 1, , , ~ "* FEDERAL GOVERNMENT 5 2,665 2,643 2,769 2,406 2,565 92,93 Executive Department of Defense... Post Office Department Other agencies. j, Legislative Judicial STATE AND LOCAL GOVERNMENT 8,772 2,609 1, ,659 2,73 1, ,673 2, ,084 2,53 1, , State government State education Other State government 2, , , ,38 2, ,329 2, ,37 Local government Local education Other local government 6, ,677 2,73 6,42 3,690 2,73 5,999 3,379 2, , 3,41 2,719 1 For mining and manufacturing, data refer to production and related workers; for contract construction, to construction workers; and for all other industries, to nonsupervisory workers. ^Beginning January 1965, data relate to railroads with operating revenues of $5,000,000 or more. 3Data for nonsupervisory workers exclude messengers. Data for nonoffice salesmen excluded from nonsupervisory count for all series in this division. '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.

77 Table B3: Women employees on nonagricultural payrolls, by industry ESTABLISHMENT DATA WOMEN EMPLOYMENT ANNUAL AVERAGES SIC Code Industry Number (in thousands) 1965 Percent of total employment Number (in thousands) Percent of total employment Number (in thousands) 1964 Percent of total employment TOTAL MINING 22, , , ,12 1, METAL MINING COAL MINING CRUDE PETROLEUM AND NATURAL GAS Crude petroleum and natural gas fields Oil and gas field services QUARRYING AND NONMETALLIC MINING.. Crushed and broken stone Sand and gravel , ^ CONTRACT CONSTRUCTION GENERAL BUILDING CONTRACTORS HEAVY CONSTRUCTION Highway and street construction Other heavy construction SPECIAL TRADE CONTRACTORS Plumbing, heating, and air conditioning Painting, paperhanging, and decorating Electrical work Masonry, plastering, stone and tile work... Roofing and sheet metal work MANUFACTURING O , I 6 27 Ik , , ,24,25, ,2631 DURABLE GOODS NONDURABLE GOODS 2,168 3, ,886 2, ,756 2, ,3,5,6, , , , Durable Goods ORDNANCE AND ACCESSORIES Ammunition, except for small arms Guided missiles and spacecraft, complete... Sighting and fire control equipment Other ordnance and accessories LUMBER AND WOOD PRODUCTS, EXCEPT FURNITURE Logging camps and logging contractors Sawmills and planing mills Sawmills and planing mills, general Millwork, plywood, and related products Millwork Veneer and plywood Wooden containers Wooden boxes, shook, and crates Miscellaneous wood products FURNITURE AND FIXTURES. Household furniture Wood house furniture, unupholstered Wood house furniture, upholstered Mattresses and bedsprings *.... Office furniture Partitions; office and store fixtures Other furniture and fixtures STONE, CLAY, AND GLASS PRODUCTS Flat glass Glass and glassware, pressed or blown Glass containers. Pressed and blown glassware, n.e.c Cement, hydraulic Structural clay products %.... Brick and structural clay tile Pottery and related products Concrete, gypsum, and plaster products Other stone and mineral products Abrasive products * I s *

78 ESTABLISHMENT DATA WOMEN EMPLOYMENT Table B3: Women employees on nonagricultural payrolls, by industry Continued AHNUAL AVERAGES SIC Code Industry Number (in thousands) Percent of total employment Number (In thousands) Percent of total employment Number (in thousands) Percent of total employment , , ,3, , , , , , , Durable GoodsContinued PRIMARY METAL INDUSTRIES Blast furnace and basic steel products Blast furnaces, steel and rolling mills.... Iron and steel foundries Gray iron foundries Malleable iron foundries Steel foundries Nonferrous smelting and refining Nonferrous rolling, drawing, and extruding... Copper rolling, drawing, and extruding... Aluminum rolling, drawing, and extruding.. Nonferrous wire drawing and insulating... Nonferrous foundries Aluminum castings Other nonferrous castings Miscellaneous primary metal industries Iron and steel forgings FABRICATED METAL PRODUCTS Metal cans Cutlery, hand tools, and general hardware... Cutlery and hand tools, including saws... Hardware, n.e.c Heating equipment and plumbing fixtures... Sanitary ware and plumbers' brass goods.. Heating equipment, except electric Fabricated structural metal products... Fabricated structural steel Metal doors, sash, frames, and trim Fabricated plate work (boiler shops)... Sheet metal work Architectural and miscellaneous metal work Screw machine products, bolts, etc Screw machine products Bolts, nuts, screws, rivets, and washers.. Metal stampings Coating, engraving, and allied services... Miscellaneous fabricated wire products Miscellaneous fabricated metal products... Valves, pipe, and pipe fittings MACHINERY Engines and turbines,. Steam engines and turbines Internal combustion engines, n.e.c Farm machinery and equipment Construction and related machinery Construction and mining machinery Oil field machinery and equipment Conveyors, hoists, and industrial cranes.. Metalworking machinery and equipment Machine tools, metal cutting types... Special dies, tools, jigs, and fixtures... Machine tool accessories Miscellaneous metalworking machinery.... Special industry machinery Food products machinery Textile machinery Printing trades machinery General industrial machinery Pumps; air and gas compressors Ball and roller bearings Mechanical power transmission goods Office, computing, and accounting machines. Computing machines and cash registers... Service industry machines Refrigeration, except home refrigerators... Miscellaneous machinery ELECTRICAL EQUIPMENT AND SUPPLIES Electrical distribution equipment Electric measuring instruments Power and distribution transformers Switchgear and switchboard apparatus & O # l.O ^ * S U il i 8I S 24 24

79 Table B3: Women employees on nonagricultural payrolls, by industrycontinued AHMJAL AVERAGES ESTABLISHMENT DATA WOMEN EMPLOYMENT Number (in thousands) Percent of total employment Number (in thousands) 1965 Percent of total Number (in thousands) 196k Percent of total employment Durable Goods Continued , , , , , ,8, , ELECTRICAL EQUIPMENT AND SUPPLIESContinued Electrical industrial apparatus Motors and generators Industrial controls Household appliances. Household refrigerators and freezers Household laundry equipment Electric housewares and fans Electric lighting and wiring equipment Electric lamps Lighting fixtures... Wiring devices Radio and TV receiving sets......,,,...*.,. Communication equipment Telephone and telegraph apparatus Radio and TV communication equipment Electronic components and accessories Electron tubes Electronic components, n.e.c Miscellaneous electrical equipment and supplies.. Electrical equipment for engines TRANSPORTATION EQUIPMENT Motor vehicles and equipment Motor vehicles Passenger car bodies Truck and bus bodies Motor vehicle parts and accessories. Aircraft and parts Aircraft.««. «Aircraft engines and engine parts... Other aircraft parts and equipment.. Ship and boat building and repairing.. Ship building and repairing Boa.t building and repairing Railroad equipment Other transportation equipment... INSTRUMENTS AND RELATED PRODUCTS... Engineering and scientific instruments... Mechanical measuring and control devices Mechanical measuring devices Automatic temperature controls Optical and ophthalmic goods Ophthalmic goods Surgical, medical, and dental equipment.. Photographic equipment and supplies... Watches and clocks MISCELLANEOUS MANUFACTURING INDUSTRIES Jewelry, silverware, and plated ware Toys, amusement, and sporting goods Toys, games, dolls, and play vehicles... Sporting and athletic goods, n.e.c Pens, pencils, office and art materials... Costume jewelry, buttons, and notions Other manufacturing industries Musical instruments and parts Nondurable Goods FOOD AND KINDRED PRODUCTS Meat products Meat packing.. Sausages and other prepared meats... Poultry dressing and packing Dairy products Ice cream and frozen desserts... Fluid milk Canned and preserved food, except meats. Canned, cured, and frozen sea foods... Canned food, except sea foods Frozen food, except sea foods * A O f<x K *.0 2 l* 1* & i*i*.o *3 85.O 27.O 1 J 1* * ^ hi 1* in * 15 k 3 I 11 i *1* fr ll* * ^ A 7 ito.0 k9.k i*.i 39 8 * 2* * * k 1*2 8 2* 1 3* 1* 2 H 2l*.O 5 2l*.l * * * 12 1* I *1 37 1*2 1* S 21* 26 11* hk ! *1* **.l* 1* * O \ 2l*.2 1 n * * *2 8O * 2 11* 2 5 2l* kk 1* Jl I 1* *1 38 1*2 hi * in t 3 21* kk 6L 38

80 ESTABLISHMENT DATA WOMEN EMPLOYMENT Table B3: Women employees on nonagricultural payrolls, by industry Continued ANNUAL AVERAGES Code Industry Number (in thousands) Percent of total Percent of total employment Number (in thousands) Percent of total employment Nondurable GoodsContinued FOOD AND KINDRED PRODUCTS Continued Grain mill products Flour and other grain mill products Prepared feeds for animals and fowls... Bakery products Bread, cake, and perishable products Biscuit, crackers, and pretzels Sugar Confectionery and related products Candy and other confectionery products Beverages * Malt liquors Bottled and canned soft drinks... Miscellaneous food and kindred products TOBACCO MANUFACTURES Cigarettes.. Cigars " TEXTILE MILL PRODUCTS Cotton broad woven fabrics Silk and synthetic broad woven fabrics Weaving and finishing broad woolens Narrow fabrics and smallwares Knitting... Women's full and knee length hosiery... All other hosiery Knit outerwear Knit underwear. Finishing textiles, except wool and knit... Floor covering Yarn and thread Miscellaneous textile goods ,9 15.,6 16.,4 156.,7 39.,6 31.,1 51.,4 23.,9 17., , ,2 APPAREL AND RELATED PRODUCTS Men's and boy's suits and coats Men's and boys' furnishings. Men's and boys' shirts and nightwear Men's and boys' separate trousers Work clothing.. Women's, misses', and juniors' outerwear... Women's blouses, waists, and shirts... Women's, misses', and juniors' dresses... Women's suits, skirts, and coats Women's and misses' outerwear, n.e.c Women's and children's undergarments... Women's and children's underwear Corsets and allied garments Hats, caps, and millinery. Girls' and children's outerwear Children's dresses, blouses, and shirts.... Fur goods and miscellaneous apparel. Miscellaneous fabricated textile products... Housefumishings, ,074.,6 82,,8 297.,5 112,,4 60, 63, 345, 46, , ,4 18, 67, 31, 55,.2 102, 41, , ,2, , PAPER AND ALLIED PRODUCTS Paper and pulp Paperboard Converted paper and paperboard products... Bags, except textile bags.... Paperboard containers and boxes Folding and setup paperboard boxes Corrugated and solid fiber boxes PRINTING, PUBLISHING, AND ALLIED INDUSTRIES Newspaper publishing and printing Periodical publishing and printing Books.".'. Commercial printing : Commercial printing, except lithographic... Commercial printing, lithographic

81 Table B3*. Women employees on nonagrieufturaf payrolls, by industry Continued ESTABLISHMENT DATA WOMEN EMPLOYMENT AHMUAL AVERAGES SIC Code Industry Number (in thousands) Percent of total employment Number (in thousands) 1965 Percent of total employment Number (in thousands) Percent of total employment Nondurable GoodsContinued ,6,7,9 PRINTING, PUBLISHING, AND ALLIED INDUSTRIES Com'd Bookbinding and related industries Other publishing and printing industries. 2 1* 1* *0.1* k6 33 2* 39 k S , ,2 286, , ,3,6 307 CHEMICALS AND ALLIED PRODUCTS Industrial chemicals Alkalies and chlorines Industrial organic chemicals, n.e.c.. Industrial inorganic chemicals, n.e.c. Plastics materials and synthetics Plastics materials and resins Synthetic fibers.... Drugs Pharmaceutical preparations. Soap, cleaners, and toilet goods Soap and detergents Toilet preparations... Paints, varnishes, and allied products.. Agricultural chemicals..... Fertilizers, complete and mixing only. Other chemical products PETROLEUM REFINING AND RELATED INDUSTRIES Petroleum refining Other petroleum and coal products. RUBBER AND MISCELLANEOUS PLASTICS., Tires and inner tubes Other rubber products Miscellaneous plastics * 1*9* * 2^ * ll*.o * * 12^ l* 38 1* J * * * 3^ l* * * 38 1* * 3k ,3,57,9 317 LEATHER AND LEATHER PRODUCTS Leather tanning and finishing Footwear, except rubber Other leather products Handbags and personal leather goods 19 ll* 1*9 2l*.l* * ** 2l* TRANSPORTATION AND PUBLIC UTILITIES... LOCAL AND INTERURBAN PASSENGER TRANSIT Local and suburban transportation Taxicabs Intercity and rural bus lines MOTOR FREIGHT TRANSPORTATION AND STORAGE Public warehousing i* * k *8 2 i*.o 1* 1* * *.O k.k ,2 AIR TRANSPORTATION Air transportation, common carriers * *8 1* PIPELINE TRANSPORTATION. COMMUNICATION Telephone communication Radio and television broadcasting. 1*60 1*27 21* *3* 1* * ELECTRIC, GAS, AND SANITARY SERVICES Electric companies and systems Gas companies and systems Combined utility systems Water, steam, and sanitary systems... WHOLESALE AND RETAIL TRADE.. WHOLESALE TRADE Motor vehicles and automotive equipment, Drugs, chemicals, and allied products.... Dry goods and apparel Groceries and related products, Electrical goods Hardware, plumbing, and heating goods.. Machinery, equipment, and supplies Miscellaneous wholesalers »* 5,090 77* 1* ni*.i 25* * 11* *1* i*.l 3* 2 2 M * * * * l* 2l* I*,6l *37 59A 5 IO9 5 3* * * O 67 6

82 ESTABLISHMENT DATA WOMEN EMPLOYMENT Table 33: Women employees on nonagricultural payrolls, by industrycontinued ANNUAL AVERAGES SIC Code Industry Number (in thousands) Percent of total employmen Number (in thousands) 1965 Percent of total employment Number (in thousands) 196*1 Percent of total employment 525? ,55, ,2 553, , , ,93 92 RETAIL TRADE GENERAL MERCHANDISE STORES.. Department stores Mail order houses Limited price variety stores FOOD STORES Grocery, meat, and vegetables stores APPAREL AND ACCESSORIES STORES Men's and boys' apparel stores, Women's readytowear stores, Family clothing stores, Shoe stores, FURNITURE AND APPLIANCE STORES Furniture and home furnishings EATING AND DRINKING PLACES OTHER RETAIL TRADE, Building materials and hardware, Auto dealers and service stations....,..., Motor vehicle dealers Other vehicle and accessory dealers... Miscellaneous retail stores, Drug stores Farm and garden supply stores Fuel and ice dealers FINANCE, INSURANCE, AND REAL ESTATE Banking Credit agencies other than banks Savings and loan associations Personal credit institutions Security dealers and exchanges.... Insurance carriers Life insurance Accident and health insurance Fire, marine, and casualty insurance Insurance agents, brokers, and services Real estate Operative builders Other finance, insurance, and real estate SERVICE AND MISCELLANEOUS Hotels and lodging places: Hotels, tourist courts, and motels Personal services. Laundries, cleaning and dyeing plants Miscellaneous business services Advertising Credit reporting and collecting agencies Motion pictures Motion picture filming and distributing Motion picture theaters and services Medical and other health services Hospitals. Legal services Educational services Elementary and secondary schools Higher educational institutions Miscellaneous services Engineering and architectural services Nonprofit research organizations GOVERNMENT FEDERAL GOVERNMENT STATE AND LOCAL GOVERNMENT... State government State education Other State government Local government Local education... Other local government 4,316 1, , , *2 20 IJO 4, , , I9O k,ko , ,95 2, ^ ,128 1, l6i , , *K) , * ,62 1, , , ,670 1, % i I i % ,915 1, , , , O 4, I ,52 1, , , , , % I II

83 ESTABLISHMENT DATA SEASONALLY ADJUSTED EMPLOYMENT Table B4: Indexes of employment on nonagricultura! payrolls, by industry division, 1919 to date, monthly data seasonally adjusted =100 Year and month Contract construe* tion Manufacturing Transportation and public utilises Wholesale and retail trade Total Wholesale trade Fii insurance, and real estate miscellai Federa State and local 1919 « , * * *0, 19* *2, 19* **, 19*5 19^ 19*7 19W, 19* , , * «1958 «1959..,. i960 < f ,., : February, March..., April..., May, June..., July... August.., September October. November. December, January,. February. 51* *.l 53. 5* O 50 1* * *9.* 5 55.* * * 86a 9 9 9?? * * 12 12* 12* 1* * 120*6 157.* 1* 1*1.* 15 1** 6.* 1* 1.* til 9 n* * *.O U *.* ll i ,3 81.* 8 35.* 29.* 3 * * * 50, * * *0 JB * IO U 118.* 115.* 11 11*. 3 11*.2< H ll*.l 11* *.2 6**2 *9 5* o*3 59 6**5 5 *9«2 * ** 5 5* *.* * 101*5 102.* 10* H n*.o n* u. 116.* *1 8** * 9 9o* B ^i * * 7 76* *5 80 8* * io*a 1O*.O 9 98.* * *l*3 *0 * ***9 *8.* * *.l *8.* *2*9 * *8.* * o h 67.O 7 8 8**9 8* * *9 10** * * * o*6 6* * * *.2 9* *9 101* * * H * * * **5 8** * 96.k Sri 99*6 98*5 102*0 10**5 1O*.O 106* laoa 120.* I23.I 12*.2 12**1 8* *6*0. *5*2 * *8 *8 5 5**0 56* * * * I * 7 8* 88??* 3 96* * no*? , & 123*7 12*.0 3 3* 38*9 *0 *1*6 ***2 ^ *7.* *9 h % * * * **.* * * ** 5 53.* 56* *2 60** 61*5 68.* a 80*9 83.I 85a 87.O 9l»o 9* * * * 9 9 1*0 1* 1*2.* 1* 1* 3*.l * 3 3 a k*ia *o.* * ** * * *7 * * T6. 81.* 8*.2 8*.? 8 88*1 9 1<&6« JL *.l 6.* 8 9 9,»* 9.2 1*0 1* 1* 1* 1**.* 2** * * 3*.O * *0*9 *5*0 60 ias **l 8 87a 1O*.O **l * f 102*5 2J@2*9 10 2@ IO6.I 107.* * * II * * HS.k 50*5 5 5*.2 5* 56* * 5 5 I 9 63*6! *.* 77a * U u * * 1* 1** 1* 1* 1* 1*7 1*7 1* * 153.* NOTE: Data include Alaska and Hawaii beginning This inclusion has resulted in an increase ol 212,000 (0.4 percent) in the nooagricultuiaj tofai or the March 1959 benchmark month. Data for the 2 most recent months are preliminary.

84 ESTABLISHMENT DATA SEASONALLY ADJUSTED EMPLOYMENT TabU B5: Employes on nonagricultural payrolls by industry, seasonally adjusted (In thousands) Industry division and group Jaxio Dec* Nov. Oct. Sept. Aug. July June May Apr. Mar. TOTAL. 65,1*95 65,372 65,076 64,823 6k,U66 64,168 64,199 64,072 63,983 63,517 63,350 63,2^7 62,811 MINING CONTRACT CONSTRUCTION, 3,357 3,301 3,293 3, , , , , , ,238 3, ,419 3,323 MANUFACTURING ,1*04 19,^9 19,^5 1 9, , , , , , , , ,81*0 18,722 DURABLE GOODS. 11,1*09 11,444 11, , , , , , , , , ,007 10,911 Ordnance and accessories.... Lumber and wood products... Furniture and fixtures... Stone, clay, and glass products. Primary metal industries Fabricated metal products Machinery Electrical equipment... Transportation equipment... Instruments and related products Miscellaneous manufacturing ^ ,330 1,373 1,927 1,970 1, Ml 642 1,340 1,378 1,940 1,962 1, * ,343 1,379 1,933 l95f 1* * ,351 1,378 1,917 1,959 1, l*6o 633 1,351 1,365 1,912 1,962 1, , , I,9p3 1, , l * , , ^ i 1,91*8 1, , / , , , ,81*6 1, , , , , , ,300 1,344 1,818 1,824 1, *6 1,295 1,332 1,810 1,805 1, NONDURABLE GOODS. 1,995 8, ,006 7, , , , , ,947 7, , ,833 7,811 Food and kindred products Tobacco manufactures Textile mill products Apparel and related products.... Paper and allied products... Printing and publishing. Chemicals and allied products... Petroleum and related products. «Rubber and plastic products Leather and leather products.... 1, , , , , , , , , , , ,01* , , * , , , , , , 0 3 : , , , , , , 7 * , , , , *8 1, , , ^5 1, , TRANSPORTATION AND PUBLIC UTILITIES 4,230 4,233 4,196 4, , , , , , , ,n4 4,109 4,105 WHOLESALE AND RETAIL TRADE.,500,499, , , 3 1 * 0 1 3, , , , , , 1 2 8,085,045 WHOLESALE TRADE RETAIL TRADE 3,538 9,962 3,533 9,966 3,515 9,877 3, , , ^ 8 6 9, ,474 9,79^ 3,1*83 9, ,483 3,470 9,7731 9,747 3, , , , ,422 9,663 3,404 9,641 FINANCE, INSURANCE, AND REAL ESTATE....., 3,7 3,129 3, , , , , ,095 3,090 3, ,068 3,064 3,051 SERVICE AND MISCELLANEOUS. 9,914 9,870 9, ,778 9, , , ,60$ 9,549 9, ,1*84 9,1*63 9,410 GOVERNMENT 11,328 11, , , , , , O,92S 10, , ,705 10,630 10,521 FEDERAL STATE AND LOCAL. 2,686 8,642 2,662 8,582 2, 6 2 $ 8, , ,1*83 2, , ,59*1 8, 3 2 $ 2, , ,603 8,328 2,571 8,314 2, , ,501 8,204 2,477 8,153 2,451 8,070 NOTE: Data for the 2 most recent months are preliminary.

85 ESTABLISHMENT DATA SEASONALLY ADJUSTED EMPLOYMENT TabU B6: Production workers on manufacturing payrolls, by industry, seasonally adjusted (In thousands) Major industry group Nov. Sept Aug. July May Apr. Mar. MANUFACTURING. 14,389 14,462 14,446 14,436 14,350 14,268 14,330 14,201 14,281 14,154 14,100 A, 048 3,967 DURABLE GOODS, 8,435 8,469 8,471 8,467 8,442 8,395 8,395 8,293 8,328 8,261 8,226 8,190 8,123 Ordnance and accessories Lumber and wood products, except furniture Furniture and fixtures Stone, clay, and glass products Primary metal industries 1,078 1,090 1,092 1,103 1,102 1,092 1,100 1,090 1,086 1,070 1,066 1,058 1,055 Fabricated metal products 1,070 1,074 1,075 1,074 1,062 1,055 1,060 1,043 1,048 1,046 1,049 1,047 1,039 Machinery.. 1,353 1,363 1,360 1,348 1,346 1,339 1,338 1,331 1,312 1,299 1,284 1,278 1,274 Electrical equipment and supplies 1,363 1,357 1,355 1,358 1,363 1,350 1,353 1,320 1,327 1,308 1,297 1,268 1,260 Transportation equipment 1,369 1,370 1,392 1,395 1,392 1,389 1,353 1,324 1,358 1,351 1,344 1,344 1,323 Instruments and related products Miscellaneous manufacturing industries NONDURABLe GOODS. 5,954 5,993 5,975 5,969 5,908 5,873 5,935 5,908 5,953 5,893 5,874 5,858 5,844 Food and kindred products. 1,183 1,188 1,184 1,186 1,156 1,145 1,170 1,165 1,166 1,154 1,163 1,174 1,169 Tobacco manufactures Textile mill products Apparel and related products ) 1,240 1,258 1,251 1,250 1,246 1,234 1,239 1,232 1,268 1,257 1,239 1,230 1,231 Paper and allied products Printing, publishing, and allied industries Chemicals and allied products Petroleum refining and related industries Rubber&nd miscellaneous plastic products Leather and leather products NOTE: Data for the 2 most recent months are preliminary.

86 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT Table B7: Employees on nonagricultural payrolls (In thousands) 1 2? State and area ALABAMA *... Birmingham Huntsville Mobile Montgomery... Tuscaloosa ^.... ALASKA ARIZONA Tucson f? O TOTAL ^ k n Mining (2) (2) k 1.2 Q.P l.c 1 Contract construction 48 1 (If ( Manufacturing ARKANSAS * Fayetteville... Fort Smith Little RockNorth Little Rock.. Pine Bluff o.o (2) (2) s CALIFORNIA AnaheimSanta AnaGarden Grove Bakersfield Fresno.... Los AngelesLong Beach Oxnard Ventura Sacramento San BernardinoRiversideOntario San Diego San FranciscoOakland San Jose... Santa Barbara Stockton VallejoNapa 6, , , , , , , , , k l.c 9.h S l.c 2/2.1) i4.o 6 1 1, H6A , , COLORADO Denver 62lo o CONNECTICUT *.... Bridgeport * Hartford 1. New Haven. Stamford Waterbuiy ;. 1, , , ) 4) (4) (4) ) 4) k) k o 4l DELAWARE Wilmington O 16 (2) (2) (2) (2) (2) (2) DISTRICT OF COLUMBIA 5... Washington SMSA.... FLORIDA *".... Fort LauderdaleHollywood X,. Miami * Orlando * Pensacola TampaSt. Petersburg * GEORGIA ".. Atlanta 1 1, , , , , , ) 3) 2 2 I (2) (2) (2) ([2) (2) (2) ) 2 2 p [2) O ill See footnotes at end of table. MOTE: Data for the current month are preliminary.

87 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT for States and selected areas, by industry division (In thousands) Transportation and public utilities 5 16, * i.er 48 5* ? i4.o Ii 3ll o.o 1 8 k Wholesale and retail trade ,32? , , I , O Finance, insurance, and real estate O PI O l4o I 1 63.O o e »8 1 25* Service and miscellaneous , ' , ll.l , O , <>1 44, ? Government ,24 as , * , * *3 1 2 It Digitized for FRASER

88 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT Table B7: Employees on n on agricultural payrolls (In thousands) Mining Contract construction Manufacturing GEORGIA (continued) Augusta } Columbus ;? Savannah ^ O (2) * IDAHO. Boise. 18 3, (2) ILLINOIS,* Chicago X DavenportRock Is landmo line Peoria Rockford 4,20 2, ,90 2, ^ 1, , , O 4 5.S INDIANA.. Evansville Fort Wayne X GaryHammondEast Chicago? Indianapolis Muncie... South Bend X Terre Haute X IOWA *.... Cedar Rapids. Des Moines.. Waterloo , , ,78 85.O , : '.1 4 ^ I! I..0 I 9 i (2 ( I > &l KANSAS. Topeka. Wichita * < KENTUCKY. Louisville (2) 2 (2) S h LOUISIANA Baton Rouge.. Lake Charles Monroe... New Orleans Shreveport * MAINE «.*. LewistonAuburn Portland * » j , * , * ! Baltimore 1, , ,07 67** MASSACHUSETTS 42 Boston. ;. & Brockton Fall River. LawrenceHaverhill Lowell.. New Bedford SpringfieldChicopeeHolyoke Worcester 2,083.^ 1,178 43I I8 12 2,9*1 1, * , , * (2) (2) (2)?' ^ S * I B99 footnotes at end of table. MOfI: Data for Uie current month are preliminary.

89 89 for States and selected areas, by industry division Continued (In thousands) ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT Transportation and public utilities I a * %& 7I i 10 6 Wholesale and retail trade h) O 2 # O O Finance, insurance, and real estate ) & (2) (2) 8 2.* ^ kk (2) ^ (2) (2) (2) 8 Service and miscellaneous o4.o o 6l I o ti l I H.0 ) h) Government * O S Digitized for FRASER

90 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT 90 (In thousands) Toble B7: Employees on nonagricultural payrolls Mining Contract construction Manufacturing MICHIGAN Ann Arbor Battle Creek Bay City Detroit Flint Grand Rapids Jackson Kalamazoo..' Lansing MuskegonMuskegon Heights.. Saginaw MINNESOTA 1 DuluthSuperior *... Minneapolis :St. Paul 1 2, ' ,4l , , , , , , , I i , , , O MISSISSIPPI X Jackson 1.' MISSOURI Kansas City St. Joseph St. Louis l. Springfield 1, , MONTANA Billings Great Falls (2) (2) NEBRASKA Omaha NEVADA Las Vegas Reno NEW HAMPSHIRE Manchester O (4).2 (2) O : * u 3 39 NEW JERSEY Atlantic City * Jersey City * 8 Newark 1 8. PatersonCliftonPassaic * 8 Perth Amboy X 8 Trenton * 2, , , (2) "ll.o H n o 4 NEW MEXICO Albuquerque (2) ^ NEW YORK AlbanySchenectadyTroy.'.». Binghamton Buffalo Elmira Monroe County V Nassau and Suffolk Counties * New YorkNortheastern New Jersey New York SMSA 8 New York City ^>... Rochester Rockland County *0 Syracuse UticaRome Westchester County *** 6, ,349 ^, ,7n , , ,39 3, H , ,760 1, , ,670 1, See footnotes at end of table. NOTE: Data for tiie current Month are preliminary.

91 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT for States and selected areas, by industry division Continued (In thousands) Transportation and public utilities (3 (3 \3 (3 \3 \3 \3 \3 \3 (3 (3 (3 (3 (3 ( *9 163.O I Wholesale and retail trade H (3 (3 (3 \3 (3 \3 (3 (3 (3 \3 \3 (3 U O O 1, ,37 1, , , Finance, insurance, and real estate O (3 3 3 (3 P(3 >3 (3 (3 (3 (3 98, * Service and miscellaneous O (3 \3 \3?3 >3 (3?3?3 >3 (3 W (3 >3 ( * * , , ^ H , , Government O I (3 (3 (3 (3 r?3?3 >3 (3 (3 ( ttt 1, I kj ? Digitized for FRASER

92 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT Table B7: Employees on nonagricultural payrolls (In thousands) State and area NORTH CAROLINA r Asheville.... Charlotte ^ GreensboroHigh Point.... Raleigh X.... WinstonSalem ^... NORTH DAKOTA X... FargoMoorhead 1, * 3 1, U9 3 1, (2) (2) Mining (2) (2) (2) Manufacturing o s II OHIO 1.. Akron l. Canton * Cincinnati * Cleveland 1.. Columbus ^ Dayton * Toledo *...' Youngs townwarren *,. OKLAHOMA X Oklahoma City * Tulsa x,.. OREGON Eugene Portland.. 3, * I63.O , I , H r ? f' ?' , o!o , , M PENNSYLVANIA AllentownBethlehemEaston... Altoona. Erie Harrisburg Johnstown. Lancaster Philadelphia Pittsburgh.... Reading... Scranton...» WilkesBarre Hazleton York RHODE ISLAND ProvidencePawtucketWarwick 4, ,648^ , , H , , i (2) 10.1 (2) (2) 4 (2) (2)? (2) , i O 3 1 1, O , , o 4l 42 SOUTH CAROLINA Charleston 3L Columbia 1 Greenville * 7453 I 9 '? r (2) (2) ( «H SOUTH DAKOTA Sioux Falls (2) (2) TENNESSEE Chattanooga Knoxville ' l Memphis 1. Nashville 1, lu 20 1, , ( 2 ) TEXAS * Amarillo 6 Austin BeaumontPort Arthur *... Corpus Christ!. V 3,16 3,21 2, See footnotes at end of table. MOTE: Data for the current aonth are preliminary I

93 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT for States and selected areas, by 1 industry division Continued (In thousands) Transportation and public utilities k 3 1* ^0 1 1* u * h * 3^ t& * Wholesale and retail trade * Q * * * 16.O L ,5 65 1* * n ^6 1 I * Finance, insurance, and real estate * * l6l * % * Service and miscellaneous * «10 11* *70.4 I69.I ^ ' * * * * 4 7 a.? S 438.C Government * O 27» * * * I * 1* * * * * l * * 1 2 I I *1 1* * h Digitized for FRASER

94 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT 94 (In thousands) Table B7: Employees on nonagricultural payrolls II State and area TEXAS (continued) Dallas 1 El Paso x... Fort Worth GalvestonTexas City $ Houston.1 Lubbock San Antonio ^... Waco 6... Wichita Falls UTAH, Salt Lake City.. :... VERMONT.... Burlington. ^*... Springfield U..., VIRGINIA 5.. Lynchburg.... NewportNewsHampton. NorfolkPortsmouth.... Richmond Roanoke 1 WASHINGTON... SeattleEverett... Spokane Tacoma... WEST VIRGINIA V. Charleston ^ HuntingtonAshland.. Wheeling *... WISCONSIN * Green Bay * Kenosha %>. La Crosse *... Madison * Milwaukee *. Racine * WYOMING... Casper.... Cheyenne , ^ , Bee , , , , I , Mining J.T.VJ 1 SI & r i ! il 8 Contract construction T m O Series revised to benchmark; not strictly comparable with previously published data, 2 Combined with service. 3 Not available. 4 Combined with construction. 5 Federal employment in Maryland and Virginia sectors of the Washington Standard Metropolitan Statistical Area is included in data for the District of Columbia. 6 Initial inclusion in this publication. (See area definitions on opposite page.) 7 Combined with manufacturing. 8 Area included in New YorkNortheastern New Jersey Standard Consolidated Area. 9 Subarea of Rochester Standard Metropolitan Statistical Area. 10 Subarea of New York Standard Metropolitan Statistical Area. 11 Total includes data for industry divisions not shown separately. N05CE: Data for the current month are preliminary. SOURCE: Cooperating State agencies listed on inside back cover. Manufacturing O

95 for States and selected areas, by industry division Continued ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT (In thousands) 1* Transportation and public utilities 1* 39.* Wholesale and retail trade ll*l* 150.1* * Finance, insurance, and real estate 1* 1*0.0 Service and miscellaneous Government * 168 5h.T 69 1* 17L3 553 at * * 25!l 8 3 1» 2 81*.l* 3U 1* * * 1* 7 8 Q * * i*.o k 3l* 39 8 * 3*9 ii* *0.1 * * 1* 1 2ll* l* ll* 1* l*.l * 7 1 1*0 1* * * *7 9 28^ 1*.2 k lh.2 l* *8 28 1*.2 1* ll*.2 l*.l* 5l* * 1 kh 2 l* h.k ii*.l * k.k lk ll* * ll* ll*.l* * , I * i* 2 5* 3 * 200.1* 7* ll* * *.O 28 IS 29.1* 7 1* * * l* *3 2l* 51*.O i!i* * 2l*.l 19 l*.l* k ll*.o 7 19 l*.l* 1* ll*.l 7* 178 1* 1* 1* l* 6 22 * afcl *« * * 20 i*.i *.O 10 * * 36 3 New area definitions: Columbus^ Georgia ' Cfoattahoochee and Mascogee Counties, Georgia; Russell County, Alaba Las Vegas, Nevada ' Clark County and the Beatty Township portion* of Nye County. Amarillo, Texas GalvestonTexas City, Texas Potter and Randall Counties. Galveston County, Lubbock, Texas Lubbock County. Waco, Texas... McLennan County. Wichita Ealls, Texas. Archer and Wichita Counties.

96 ESTABLISHMENT DATA HISTORICAL HOURS AND EARNINGS Table C1: Gross hours and earnings of production workers on manufacturing payrolls 1919 to date Manufacturing Durable goods Nondurable goods Year and month Average weekly earnings Average weekly hours Average hourly earnings Average weekly earnings Average weekfy hours Average hourly earnings Average weekly earnings Average weekly hours Average hourly earnings , , , ^ i960., , : February. Iferch... April... June... e. July... August.. September. October. December. : January.. February. $ U.11 21* O kl kl o 4o.l $0, I ' $ , ^ , * i.l $0, I o , o $ B k k o 40 4o 40o3 ko ko.2 ko.i $0, NOTE: Data include Alaska and Hawaii beginning This inclusion has not significantly affected the hours and earnings seties. Data for the 2 most recent months are preliminary k k O Q"t

97 ESTABLISHMENT DATA HOURS AND EARNINGS Table C2: Gross hours and earnings of production workers, 1 by industry , , sic Code 19,24,25, , ,3,5,6, , , , Industry MINING METAL MINING Iron ores Copper ores COAL MINING Bituminous CRUDE PETROLEUM AND NATURAL GAS Crude petroleum and natural gas fields. Oil and gas field services. QUARRYING AND NONMETALLIC MINING Crushed and.broken stone CONTRACT CONSTRUCTION GENERAL BUILDING CONTRACTORS. HEAVY CONSTRUCTION Highway and street construction... Other heavy construction... SPECIAL TRADE CONTRACTORS... Plumbing, heating, and air conditioning Painting, paperhanging, and decorating Electrical work Masonry, plastering, stone and tile work Roofing and sheet metal work MANUFACTURING DURABLE GOODS NONDURABLE GOODS Durable Goods ORDNANCE AND ACCESSORIES Ammunition, except for small arms.. Guided missiles and spacecraft, complete Sighting and fire control equipment.. Other ordnance and accessories... LUMBER AND WOOD PRODUCTS, EXCEPT FURNITURE Sawmills and planing mills Sawmills and planing mills, general. Millwork, plywood, and related products Millwork Veneer and plywood Wooden containers, Wooden boxes, shopk, and crates.. Miscellaneous wood products FURNITURE AND FIXTURES Household furniture Wood house furniture, unupholstered. Wood house furniture, upholstered.. Mattresses and bedsprings Office furniture Partitions; office and store fixtures.. Other furniture and fixtures STONE, CLAY, AND GLASS PRODUCTS.. Flat glass Glass and glassware, pressed or blown Glass containers Pressed and blown glassware, n.e.c. Cement, hydraulic Structural clay products Brick and structural clay tile Pottery and related products Concrete, gypsum and plaster products Other stone and mineral products... Abrasive products $ kj O Average weekly earnings ^ $ k k 16k no $ II See footnotes at end of table. NOTE: Data for the most recent months are preliminary. $ O AVg. $ H lko Hl , Hl I6 B Average hourly earnings $ ~ $ $ I ) $ $5 7 8 *

98 ESTABLISHMENT DATA HOURS AND EARNINGS 100 TabU C2: Grots hours and arningt of production workers, 1 by industrycontinued sic Code Industry Average weekly earnings Avg. Average hourly earnings I I Avg. Durable GoodsContinued 33 III , , PRIMARY METAL INDUSTRIES Blast furnace and basic steel products.. Blast furnaces, steel and rolling mills.. Iron and steel foundries Gray iron foundries Malleable iron foundries. Steel foundries Nonferrous smelting and refining Nonf errous rolling, drawing, and extruding. Copper rolling, drawing, and extruding.. Aluminum rolling, drawing, and extruding Nonferrous wire drawing and insulating. Nonferrous foundries Aluminum castings Other nonferrous castings Miscellaneous primary metal industries... Iron and steel forgings $ $ $ $ $ $ $ $ $ $ ,3, , , ,8 FABRICATED METAL PRODUCTS Metal cans Cutlery, hand tools, and general hardware. Cutlery and hand tools, including saws, Hardware, n.e.c Heating equipment and plumbing fixtures.. Sanitary ware and plumbers' brass goods. Heating equipment, except electric... Fabricated structural metal products... Fabricated structural steel Metal doors, sash, frames, and trim... Fabricated plate work (boiler shops)... ^ Sheet metal work Architectural and misc. metal work... Screw machine products, bolts, etc Screw machine products.... Bolts, nuts, screws, rivets, and washers Metal stampings Coating, engraving, and allied services.. Miscellaneous fabricated wire products... Miscellaneous fabricated metal products.. Valves, pipe, and pipe fittings 1194 (N.A.) (N.A.) (N.A.) (N.A.) , , , MACHINERY Engines and turbines Steam engines and turbines Internal combustion engines,n.e.c.... Farm machinery and equipment Construction and related machinery... Construction and mining machinery... Oil field machinery and equipment... Conveyors, hoists, and industrial cranes Metalworking machinery and equipment... Machine tools, metal cutting types... Special dies, tools, jigs, and fixtures.. Machine tool accessories Miscellaneous metalworking machinery. Special industry machinery. Food products machinery. Textile machinery Printing trades machinery General industrial machinery Pumps; air and gas compressors.... Ball and roller bearings Mechanical power transmission goods.. Office, computing, and accounting machines Computing machines and cash registers.. Service industry machines Refrigeration, except home refrigerators. Miscellaneous machinery ; See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

99 ESTABLISHMENT DATA HOURS AND EARNINGS TabU C2: Grots hours and arnings of production workers, 1 by industry Continued sic Code Industry Average weekly hours Average overtime hours ,12, 12 1, MINING METAL MINING Iron ores.. Copper ores COAL MINING Bituminous CRUDE PETROLEUM AND NATURAL GAS Crude petroleum and natural gas fields Oil and gas field services... QUARRYING AND NONMETALLIC MINING Crushed and broken stone kl 2** 4 2* 2* 2*0 2*0 2* 2* ^ 2* 2* 2** 2* 2* 2* 2* 2* 2*0 2* 2*2*.2 2* 2* 2* ^ 2*0 2* 2* 2*0 2*2*.l 2* 2* 2* 2* 2* 11 *2*0 *l*0 2* 2*0 2*2*.O ^ 2* CONTRACT CONSTRUCTION GENERAL BUILDING CONTRACTORS HEAVY CONSTRUCTION Highway and street construction... Other heavy construction SPECIAL TRADE CONTRACTORS Plumbing, heating, and air conditioning Painting, paperhanging, and decorating Electrical work Masonry, plastering, stone and tile work Roofing and sheet metal work * *.2* * 2* 2* * 3 19,24,25, ,2631 MANUFACTURING DURABLE GOODS NONDURABLE GOODS 1*0.1 2* *0 2* 39 2* 2* 2*0.1 2* 2* 39 2* 2*0.2 2*.l 2*.l Durable Goods ,3,5,6,9 ORDNANCE AND ACCESSORIES Ammunition, except for small arms.. Guided missiles and spacecraft, complete Sighting and fire control equipment.. Other ordnance and accessories... hi. 5 2*0 4 2* 4 2* 2* 2*2*. 3 2* 2* 2* 2* 2* 2* 2* 2*31 2* 2* 2* 4 2* 2* 2*2*,2 2*.O 2* * 2*.O , , , LUMBER AND WOOD PRODUCTS, EXCEPT FURNITURE Sawmills and planing mills Sawmills and planing mills, general Millwork, plywood, and related products Millwork Veneer and plywood Wooden containers. Wooden boxes, shook, and crates... Miscellaneous wood products FURNITURE AND FIXTURES. Household furniture Wood house furniture, unupholstered. Wood house furniture, upholstered.. Mattresses and bedsprings Office furniture Partitions; office and store fixtures.. Other furniture and fixtures, STONE, CLAY, AND GLASS PRODUCTS. Flat glass Glass and glassware, pressed or blown Glass containers Pressed and blown glassware, n.e.c. Cement, hydraulic Structural clay products. Brick and structural clay tile... Pottery and related products Concrete, gypsum and plaster products Other stone and mineral products... Abrasive products * *0 2*0 1*0 2* in.o 2* ^ *0.2* 39 2* 2* 2* 2*0 2* * * 2** 2*0 2* 2** 2* 2* 2*0 2* * 2* 2*0.2* *0 39 2* 2** 2* 2* 2* 2* 2* 2* ** 2* 2* 2* 2* 2** 2* 2*0 2** 2*0.2 2*0 39 2** 2* 2* 2*0 2*0 2*0 2* * 2* 2* 2* 2*0 2* * 2*0 2* 2* 2* 2** 2* 2* 2* 2*0 M 39 2*.4 2*0 2*0 2*0 2*0 2* 2*0.2 2* 2* 2* 2* 2** 2* 2* 2* * 2* 2* 2* 2* 2* 2* 2* 2*0 2* 2* 2* * *.2 2*.O ' 2~ h 3O 4!o See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

100 ESTABLISHMENT DATA HOURS AND EARNINGS Table C2: Gross hours and earnings of production workers/ by industry Continued sic Code Industry Average weekly hours Avg. Average overtime hours Avg. Durable Goods Continued , , PRIMARY METAL INDUSTRIES Blast furnace and basic steel products.. Blast furnaces, steel and rolling mills.. Iron and steel foundries Gray iron foundries. Malleable iron foundries Steel foundries Nonferrous smelting and refining... Nonferrous rolling, drawing, and extruding. Copper rolling, drawing, and extruding.. Aluminum rolling, drawing, and extruding Nonferrous wire drawing and insulating. Nonferrous foundries Aluminum castings Other nonferrous castings Miscellaneous primary metal industries... Iron and steel forgings ,3, , , ,8 FABRICATED METAL PRODUCTS Metal cans Cutlery, hand tools, and general hardware. Cutlery and hand tools, including saws. Hardware, n.e.c. Heating equipment and plumbing fixtures.. Sanitary ware and plumbers' brass goods. Heating equipment, except electric... Fabricated structural metal products... Fabricated structural steely Metal doors, sash, frames, 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, screws, rivets, and washers Metal stampings Coating, engraving, and allied services.. Miscellaneous fabricated wire products... Miscellaneous fabricated metal products.. Valves, pipe, and pipe fittings (N.A.) (N.A.) , , , MACHINERY.. Engines and turbines Steam engines and turbines Internal combustion engines,n.e.c.... Farm machinery and equipment... Construction and related machinery Construction and mining machinery... Oil field machinery and equipment... Conveyors, hoists, and industrial cranes Metalworking machinery and equipment.. Machine tools, metal cutting types.... Special dies, tools, jigs, and fixtures.. Machine tool accessories Miscellaneous metalworking machinery. Special industry machinery Food products machinery. Textile machinery Printing trades machinery... General industrial machinery Pumps; air and gas compressors.... Ball and roller bearings. Mechanical power transmission goods.. Office, computing, and accounting machines Computing machines and cash registers.. Service industry machines Refrigeration, except home refrigerators. Miscellaneous machinery See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

101 ESTABLISHMENT DATA HOURS AND EARNINGS Table C2i Gross hours and earnings of production workers, 1 by industry Continued sic Code Industry Average weekly earnings j 19 Average hourly earnings Dec 196 Durable GoodsContinued , , , , , ,8, ELECTRICAL EQUIPMENT AND SUPPLIES Electric distribution equipment... Electric measuring instruments... Power and distribution transformers. Switchgear and switchboard apparatus.. Electrical industrial apparatus Motors and generators Industrial controls Household appliances Household refrigerators and freezers. Household laundry equipment Electric housewares and fans Electric lighting and wiring equipment. Electric lamps Lighting fixtures Wiring devices Radio and TV receiving sets Communication equipment Telephone and telegraph apparatus... Radio and TV communication equipment Electronic components and accessories.. Electron tubes Electronic components, n.e.c Misc. electrical equipment and supplies.. Electrical, equipment for engines TRANSPORTATION EQUIPMENT Motor vehicles and equipment... Motor vehicles Passenger car bodies Truck and bus bodies Motor vehicle parts and accessories... Aircraft and parts Aircraft Aircraft engines and engine parts... Other aircraft parts and equipment... Ship and boat building and repairing... Ship building and repairing.. Boat building and repairing. Railroad equipment Other transportation equipment MISC. MANUFACTURING INDUSTRIES Jewelry, silverware, and plated ware... Toys, amusement, and sporting goods... Toys, games, dolls, and play vehicles.. Sporting and athletic goods, n.e.c..... Pens, pencils, office and art materials... Costume jewelry, buttons, and notions... Other manufacturing industries Musical instruments and parts Nondurable Goods FOOD AND KINDRED PRODUCTS Meat products Meat packing Sausages and other prepared meats... Poultry dressing and packing $ (H.A.) *71 l4o7 00 INSTRUMENTS AND RELATED PRODUCTS 114 Engineering and scientific instruments.. Mechanical measuring and control devices 116 Mechanical measuring devices Automatic temperature controls Optical and ophthalmic goods Ophthalmic goods Surgical, medical, and dental equipment.. Photographic equipment and supplies (H.A.) Watches and clocks $ kL H IOO *70 $ io4.i $ o91 IOO O n4.o $ * no $0 6 (N.A.) 2J92 2.~ ~ ~53 o (N.A.) $ $ o o $ **& $ ^ ! * See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

102 ESTABLISHMENT DATA HOURS AND EARNINGS Table C2: Gross hours and earnings of production workers, 1 by industrycontinued sic Code Industry Average weekly hours Dec Feb 6 Average overtime hours Durable GoodsContinued , , , , , ELECTRICAL EQUIPMENT AND SUPPLIES Electric distribution equipment... Electric measuring instruments Power and distribution transformers... Switchgear and switchboard apparatus.. Electrical industrial apparatus... Motors and generators Industrial controls Household appliances Household refrigerators and freezers.. Household laundry equipment Electric housewares and fans. Electric lighting and wiring equipment.. Electric lamps Lighting fixtures...*. Wiring devices Radio and TV receiving sets Communication equipment Telephone and telegraph apparatus... Radio and TV communication equipment Electronic components and accessories.. Electron tubes Electronic components, n.e.c Misc. electrical equipment and supplies.. Electrical equipment for engines... TRANSPORTATION EQUIPMENT Motor vehicles and equipment Motor vehicles Passenger car bodies... Truck and bus bodies Motor vehicle parts and accessories... Aircraft and parts Aircraft Aircraft engines and engine parts... Other aircraft parts and equipment... Ship and boat building and repairing... Ship building and repairing Boat building and repairing. Railroad equipment Other transportation equipment INSTRUMENTS AND RELATED PRODUCTS. Engineering and scientific instruments.. Mechanical measuring and control devices Mechanical measuring devices Automatic temperature controls... Optical and ophthalmic goods Ophthalmic goods Surgical, medical, and dental equipment. Photographic equipment and supplies. Watches and clocks 39 1* (N.A.) * * * ho'k 1* 1* (N.A.) 1*0 jn 1*0 1* 1* 1* 1* 1* 1*0.1 1* *0.1* 1* * 39 1* 1* 1* 395 1* * 1* 1* 1* 1** 1** 1*0 1* 1* 1* 1* kl 1* 1*0 1** 38.2 in. 5 1* 1* 1* 1*0 1*0 398 l*2. # 6 1*0.0 1* 1* 1*0 1* 1*1* 1* 1* 1* 1*0.2 39^ 39 1*0 1*0 1*0 1*0 3. 1*0.0 1* 1* 1** 1*0.2 1* 39 1* 1* 1* 1* 1* 1* 1* 1** 1* 1* 1* 1* 1* 1* 1* 1* 38 1* 1* 1* 1* 1*0 1* 1*0 1*0 1** 1*0.1* 1* 1* 1*0.1* 1* 1* 1* 1* 1* 1* 1** 1* 1*0 1*0 1* 39 1*0 39 1* 1* 1*.1*0 1* 1K) 1* 1*0 1* 1 4 1* 1** 1*1* l*l*.o 1*1* 1* l*l*.l 1* 1* 1*0.1 1* 38 1* 1* 1** 1* 1** 1* 1*0 1*0 1* 1*0 1* 1* 1*0 1* 1* 1** 1* 1* 1** 1* 1* 1*0 1*0 1*0 1*0 1* I*0o0 1* 1* 1* 1*0.1* 1* S3 U0 1* 1* 1* 1*0 1* 1* 1* 1* 1** 1*1* 1** 1* 1* 1*0 39 1* 1* 1* 1* 1*0 1* 1*0 1*0 1** 1*0 k.o i*.o l*.l * 1*.2 1*.O 1*.2 1* : 5 1*.2?* 7 k l * l*.l* l*.l 1* 3 : 3 k.2 K ,8, MISC. MANUFACTURING INDUSTRIES Jewelry, silverware, and plated ware.. Toys, amusement, and sporting goods. Toys, games, dolls, and play vehicles Sporting and athletic goods, n.e.c.. Pens, pencils, office and art materials. Costume jewelry, buttons, and notions... Other manufacturing industries Musical instruments and parts... Nondurable Goods FOOD AND KINDRED PRODUCTS Meat products. Meat packing Sausages and other prepared meats.. Poultry dressing and packing * *0.1* * *0 1*0 1** 1* 1* *0.0 1* *0 1*0 39 1*0.1 1* 1* 1* 1* 1*1* * *0.1 1*0 1*0 1*0 1* 1*0 3 1*0.0 1** 39.1* *0 39 1*0.2 1* 1* 1* 1* 1* 39.2 * 1* * 1*.O * 2 *I?' 5 1*.2 1* 1*.O See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

103 ESTABLISHMENT DATA HOURS AND EARNINGS Table C2: Gross hours and earnings of production workers, 1 by industry Continued SIC Code Industry Average weekly earnings Avg. Average hourly earnings Avg. Nondurable GoodsContinued ,6 2032, , , , , POOD AND KINDRED PRODUCTSContinued Dairy products Ice cream and frozen desserts Fluid milk Canned and preserved food, except meats. Canned, cured and frozen seafoods... Canned food, except sea foods... Frozen food, except sea foods Grain mill products Flour and other grain mill products... Prepared feeds for animals and fowls.. Bakery products Bread, cake, and perishable products... Biscuit, crackers, and pretzels Sugar.. Confectionery and related products... Candy and other confectionery products. Beverages Malt liquors Bottled and canned soft drinks Miscellaneous food and kindred products. TOBACCO MANUFACTURERS Cigarettes, Cigars TEXTILE MILL PRODUCTS Cotton broad woven fabrics, Silk and synthetic broad woven fabrics.. Weaving and finishing broad woolens.. Narrow fabrics and smallwares. Knitting. Women's full and knee length hosiery.. All other hosiery Knit outerwear Knit underwear Finishing textiles, except wool and knit.. Floor covering Yarn and thread Miscellaneous textile goods APPAREL AND RELATED PRODUCTS... Men's and boys' suits and coats Men's and boys' furnishings Men's and boys' shirts andnightwear.. Men's and boys' separate trousers... Work clothing. Women's, misses', and juniors' outerwear. Women's blouses, waists, and shirts... Women's, misses', and juniors' dresses Women's suits, skirts, and coats Women's and misses' outerwear, n.e.c.. Women's and children's undergarments... Women's and children's underwear.... Corsets and allied garments... Hats, caps, and millinery Girls' and children's outerwear... Children's dresses, blouses, and shirts. Fur goods and miscellaneous apparel.. Miscellaneous fabricated textile products Housefumishings PAPER AND ALLIED PRODUCTS Paper and pulp Paperboard. Converted paper and paperboard products Bags, except textile bags Paperboard containers and boxes Folding and setup paperboard boxes.. Corrugated and solid fiber boxes (N.A.) * ^ ". 78 $ to $ $ Hl $ IO OO 112 $ (N.A.) l." l." $ I , I I I H $ I I $ I7 0 2 I $ I See footnotes at end of table. NOTE: Data for the 2 ajost recent Months are preliminary.

104 ESTABLISHMENT DATA HOURS AND EARNINGS Table C2: Gross hours and earnings of production workers, 1 by industry Continued SIC Code Industry XQ67 Average weekly hours AVg. feb. Average overtime hours Avg. Nondurable GoodsContinued ,6 2032, , , ,2, , FOOD AND KINDRED PRODUCTSContinued Dairy products Ice cream and frozen desserts Fluid milk Canned and preserved food, except meats. Canned, cured and frozen seafoods... Canned food, except sea foods Frozen food, except sea foods Grain mill products.. Flour and other grain mill products... Prepared feeds for animals and fowls.. Bakery products Bread, cake, andperishable products... Biscuit, crackers, and pretzels Sugar jugai Confectionery and related products Candy and other confectionery products. Beverages Malt liquors Bottled and canned soft drinks Miscellaneous food and kindred products. TOBACCO MANUFACTURERS Cigarettes Cigars. TEXTILE MILL PRODUCTS Cotton broad woven fabrics Silk and synthetic broad woven fabrics Weaving and finishing broad woolens... 4 Narrow fabrics and smallwares. 39 Knittin? 3 Women's full and knee length hosiery.. All other hosiery. Knit outerwear Knit underwear Finishing textiles, except wool and knit.. 4 Floor covering.. Yarn and thread Miscellaneous textile goods APPAREL AND RELATED PRODUCTS Men's and boys' suits and coats i Men's and boys' furnishincs Men's and boys' shirts andnightwear.. Men's and boys' separate trousers.... Work clothing Women's, misses', and juniors' outerwear. Women's blouses, waists, and shirts... Women's, misses', and juniors' dresses Women's suits, skirts, and coats Women's and misses' outerwear, n.e.c.. Women's and children's undergarments... Women's and children's underwear.... Corsets and allied garments Hats, caps, and millinery Girls' s*nd children's outerwear Children's dresses, blouses, and shirts. Fur goods and miscellaneous apparel... Miscellaneous fabricated textile products. Housefumishings PAPER AND ALLIED PRODUCTS Paper and pulp Paperboard Converted paper and paperboard products. Bags except textile bags Paperboard containers and boxes Folding and setup paperboard boxes... Corrugated and solid fiber boxes (N.A.) * * O * o.l bn 41^5 38.O # O o.o ft. n 38! l!8 4 oft ft JO.O * ,2 4 I 3* I 1:2 ~ ~ 475 I ~ 5*2 4.~6 276 Q ' 5*0 4.~2 6 1*7 l.l ~ ~ l74 7*5 479 See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary.

105 ESTABLISHMENT DATA HOURS AND EARNINGS 106 Table C2: Gross hours and earnings of production worker*, 1 by industrycontinued SIC Code Industry Avenge weekly earnings Avg. Average hourly earnings Avg. 1Q66 Nondurable GoodsContinued ,6,7,9 PRINTING, PUBLISHING, AND ALLIED INDUSTRIES Newspaper publishing and printing... Periodical publishing and printing... Books Commercial printing Commercial printing, except litho... Commercial printing, lithographic.. Bookbinding and related industries.. Odier publishing and printing industries $ $ $ $ $ $ $ $ $ $ , ,2 286, , ,3, ,3,57,9 317 CHEMICALS AND ALLIED PRODUCTS... Industrial chemicals Alkalies and chlorine Industrial organic chemicals, n.e.c.. Industrial inorganic chemicals, n.e.c. Plastics materials and synthetics... Plastics materials and resins Synthetic fibers. Drugs Pharmaceutical preparations Soap, cleaners, and toilet goods Soap and detergents Toilet preparations. Paints, varnishes, and allied products. Agricultural chemicals Fertilizers, complete and mixing only Other chemical products PETROLEUM REFINING AND RELATED INDUSTRIES Petroleum refining Other petroleum and coal products... RUBBER AND MISCELLANEOUS PLASTICS PRODUCTS Tires and inner tubes Other rubber products Miscellaneous plastics products LEATHER AND LEATHER PRODUCTS Leather tanning and finishing Footwear, except rubber Other leather products.. Handbags and personal leather goods... TRANSPORTATION AND PUBLIC UTILITIES: RAILROAD TRANSPORTATION: Class I railroads 2 (N.A.) (N.A.) 4 *2 ( N.A.) (N.A.) 9 ** LOCAL AND INTERURBAN PASSENGER TRANSIT: Local and suburban transportation... Intercity and rural bus lines MOTOR FREIGHT TRANSPORTATION AND STORAGE Public warehousing PIPELINE TRANSPORTATION COMMUNICATION Telephone communication Switchboard operating employees 3.. Line construction employees*... Telegraph communication' Radio and television broadcasting ELECTRIC, GAS, AND SANITARY SERVICES Electric companies and systems Gas companies and systems Combined utility systems Water, steam, and sanitary systems X See footnotes at end of table. NOTE: Data for die 2 most recent months are preliminary.

106 ESTABLISHMENT DATA HOURS AND EARNINGS Table C2: Grots hours and arningi of production work«rs f 1 by industrycontinued sic Code Industry Average weekly hours Dec 196 j Average overtime hours Nondurable GoodsContinued ,6,7, , ,2 286, , ,3, ,3,57,9 317 PRINTING, PUBLISHING, AND ALLIED INDUSTRIES... Newspaper publishing and printing.... Periodical publishing and printing... Books Commercial printing..... Commercial printing, except litho.... Commercial printing, lithographic... Bookbinding and related industries... Other publishing and printing industries. CHEMICALS AND ALLIED PRODUCTS.... Industrial chemicals Alkalies and chlorine Industrial organic chemicals, n.e.c... Industrial inorganic chemicals, n.e.c. Plastics materials and synthetics... Plastics materials and resins... Synthetic fibers Drugs Pharmaceutical preparations Soap, cleaners, and toilet goods Soap and detergents Toilet preparations Paints, varnishes, and allied products. Agricultural chemicals. Fertilizers, complete and mixing only. Other chemical products PETROLEUM REFINING AND RELATED INDUSTRIES Petroleum refining Other petroleum and coal products... RUBBER AND MISCELLANEOUS PLASTICS PRODUCTS Tires and inner tubes Other rubber products Miscellaneous plastics products... LEATHER AND LEATHER PRODUCTS... Leather tanning and finishing... Footwear, except rubber Other leather products Handbags and personal leather goods.. TRANSPORTATION AND PUBLIC UTILITIES: 38.* ~8 39 *a. 2 ki.k kl ko 140 te 1*0 1U. kl.k 1 O.B * 1*0 1* * * ko lii * kl.k kl kl.q 1* 1* kl.k *K).l 1*0 ju 1*0 * 1* 1* Ja in. 5 i * kk.2 * *o"i 3^ ol 3 39 ia *o o 1* 1* 1*2.* **.O * * *0.0 *i.i 1ML ko.k * 9 * * * *i.o 38 1* * * * *.2 k2.k * * * 1*0 * 1*0 * *1.* 1*0.1 in.o * kl.k 38 1* I*.* 3.* 3.* 3.* 3.* *.* 3.* 2.* k.2 k.2 3.* * 2.* 19 k.2 k.k 6 *!o l*.l k 3.* i!* *.* *.o RAILROAD TRANSPORTATION: Class I railroads 2 (N.A.) (N.A.) LOCAL AND INTERURBAN PASSENGER TRANSIT: Local and suburban transportation... Intercity and rural bus lines kl kh IH * kk * 1* MOTOR FREIGHT TRANSPORTATION AND STORAGE Public warehousing PIPELINE TRANSPORTATION COMMUNICATION Telephone communication Switchboard operating employees 3.. Line construction employees*... Telegraph communication' Radio and television broadcasting.... ELECTRIC. GAS, AND SANITARY SERVICES Electric companies and systems.. Gas companies and systems Combined utility systems Water, steam, and sanitary systems. * 1*0 * * kk.l 39*5 *1.* *1.* *l.* * 1*0 * ln kl Uo.O 39 3 * Ul * *i.o ^l ko.q See footnotes at end of table. NOTE: Data for the 2 most recent months are preliminary. kl 1*0.2 1*0 1* * * 39 kl kl.k 1* 1* *6 1* 1*0 1* 1*0 1*0 36 * * 39 1* 1* *

107 ESTABLISHMENT DATA HOURS AND EARNINGS 108 Table C2: Gross hours and earnings of production workers,' by industrycontinued sic Code Industry^ IO67 Average weekly earnings Avg Average hourly earnings Avg WHOLESALE AND RETAIL TRADE. $80.44 $800 $80.14 $74 $79.02 $1 $0 $6 $9 $ ,55, ,2 553, WHOLESALE TRADE Motor vehicles and automotive equipment Drugs, chemicals, and allied products.. Dry goods and apparel Groceries and related products... Electrical goods Hardware, plumbing, and heating goods. Machinery, equipment, and supplies... Miscellaneous wholesalers... RETAIL TRADE... General merchandise stores..... Department stores Mail order houses.... Limited price variety stores... Food stores.. Grocery, meat, and vegetable stores.. Apparel and accessories stores... Men's and boys' apparel stores Women's readytowear stores.... Family clothing stores... Shoe stores Furniture and appliance stores... Furniture and home furnishings... Eating and drinking places *. Other retail trade... Building materials and hardware.... Motor vehicle dealers Other vehicle and accessory dealers.. Drug stores... Fuel and ice dealers... FINANCE, INSURANCE, AND REAL ESTATE?... Banking Credit agencies other than banks.... Savings and loan associations... Security dealers and exchanges Insurance carriers Life insurance Accident and health insurance... Fire, marine, and casualty insurance.. SERVICES AND MISCELLANEOUS: Hotels and lodging places: Hotels, tourist courts, and motels 6... Personal Services: Laundries, cleaning and dyeing plants Motion pictures: Motion picture filming and distributing ^ I6I OO I * i.4o I I NOTE: Data for the 2 most recent months are preliminary.

108 109 ESTABLISHMENT DATA HOURS AND EARNINGS Table C2: Gross hours and earnings of production workers, by industry Continued sic Code ,55, ,2 553, Industry WHOLESALE AND RETAIL TRADE. WHOLESALE TRADE Motor vehicles and automotive equipment Drugs, chemicals, and allied products.. Dry goods and apparel Groceries and related products Electrical goods.. Hardware, plumbing, and heating goods. Machinery, equipment, and supplies... Miscellaneous wholesalers RETAIL TRADE General merchandise stores Department stores. Mail order houses. Limited price variety stores Food stores Grocery, meat, and vegetable stores.. Apparel and accessories stores Men's and boys' apparel stores. Women's readytowear stores Family clothing stores Shoe stores Furniture and appliance stores Furniture and home furnishings... Eating and drinking places ' Other retail trade Building materials and hardware... Motor vehicle dealers Other vehicle and accessory dealers.. Drug stores Fuel and ice dealers FINANCE, INSURANCE, AND REAL ESTATE 7 Banking Credit agencies other than banks Savings and loan associations Security dealers and exchanges Insurance carriers Life insurance Accident and health insurance... Fire, marine, and casualty insurance.. SERVICES AND MISCELLANEOUS: Hotels and lodging places: Hotels, tourist courts, and motels 6.. Personal Services: Laundries, cleaning and dyeing plants. Motion pictures: Motion picture filming and distributing. 36.*. 1*0 3 3 Average weekly hours 3 1*0 1** 1* * 1*0 1*0 1* # M 1* 1* 3 1* * *0 1H 1*0 38 1* l*l* 1*0 1*0 1*0 3 3»*.2 3 1* 3 3* 3* 3 35, * *0.1 1* 1* 1* 3fr 1* 3 3* * * 3 1*0 1* 1*0 3 1*0 1* 1*0 1* 1*0.1* M 3* fc.2 lio.l* 1* 1* 1* 3M 1* * 3 1* *0 1* 1* *0 1* 1*0 1H.1 1* * L.k 39.1* 39 3l*.O 1*0.2 1* 1* 1* 3>*.l* 1* * JS&L Average overtime hours ^ For mining and manufacturing, data refer to production and related workers; for contract construction, to construction workers; and for all other industries, to nonsupervisory workers. 2 Beginning January 1965, data relate to railroads with operating revenues of $5,000,000 or more. Data for August ar«l $4, $3,05, and 4. 3 Data relate to employees in such occupations in the telephone industry as switchboard operators; service assistants; operating room instructors; and paystation attendants. In 1965, such employees made up 33 percent of the total number of non supervisory 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 1965, such employees made up 33 percenr of the.total number of nonsupervisory employees in establishments reporting hours and earnings data. ^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. *llmdnth average* **8Month average. N.A.Rot available* HOTE: Data for the 2 most recent months are preliminary. Avg.

109 ESTABLISHMENT DATA HOURS AND EARNINGS Table C3: Employment, hours, and indexes of earnings in the Executive Branch of the Federal Government Item (Employment in thousands includes both supervisory and nonsupervisory employees) Nov. Oct. Sept. Aug. July June May Apr. Mar. Avg. Total employment Average overtime hours Indexes (1965=100): Average weekly earnings... Average hourly earnings... Total employment Average weekly hours Average overtime hours..*.... Indexes (1965=100): Average weekly earnings... Average hourly earnings Average weekly hours Average.overtime hours Indexes (1965=100): Average weekly earnings... 'Average hourly earnings Total employment Average weekly hours... Indexes (1965=100): Average weekly earnings Average hourly earnings 2, IO 1, , , , ,05 4i.o , , , ,05 4i.o EXECUTIVE BRANCH 2, , , DEPARTMENT OF DEFENSE 1, , , POST OFFICE DEPARTMENT 683.I IO OTHER AGENCIES , IO 10 2, , , , , NOTE: Averages presented in this table have been computed using data collected by the U.S. Civil Service Commission from all agencies of the" executive branch of the Federal Goveminer the data cover both salaried workers and hourly paid wageboard employees. Since these averages relate to hours and earnings of all workers, both supervisory and nonsupervisory, they are not comparable to similar data presented in table C2 which relate only to production or nonsupervisory workers. Table C4: Average hourly earnings excluding overtime of production workers on manufacturing payrolls, by industry MANUFACTURING DURABLE GOODS Major industry group $8 $6 Ordnance and accessories Lumber and wood products, except furniture. Furniture and fixtures Stone, clay, and glass products Primary metal industries, Fabricated metal products, Machinery Electrical equipment and supplies Transportation equipment. Instruments and related products Miscellaneous manufacturing industries..., NONDURABLE GOODS Food and kindred products. Tobacco manufacturers Textile mill products Apparel and related products Paper and allied products Printing, publishing, and allied industries.. Chemicals and allied products Petroleum refining and related industries... Rubber and miscellaneous plastics products. Leather and leather products 1 Derived by assuming that overtime hours are paid at the rate of time and onehalf. 4 3 (2) (2) Average hourly earnings excluding overtime 1 & (2) & (2) (2) * I9 Not available as average overtive rates are significantly above time and onehalf. Inclusion of data for the group in the nondurable goods total has little effect. NOTE: Data for die 2 most recent months are preliminary.

110 ESTABLISHMENT DATA HOURS AND EARNINGS Table C5: Gross and spendable average weekly earnings in selected industries, in current and dollars 1 Industry Gross average weekly earnings Avg. Spendable average weekly earnings Worker with no dependents Avg. Worker with three dependents Avg. MINING: Current dollars dollars $1 118 $5 115 $ $ $ $ $ $ $ CONTRACT CONSTRUCTION: Current dollars dollars MANUFACTURING: Current dollars dollars WHOLESALE AND RETAIL TRADE: Current dollars dollars FINANCE, INSURANCE, AND REAL ESTATE: dollars For mining and manufacturing, data refer to production and related workers; for contract construction, to construction workers; and for other divisions, to nonsupervisory workers. NOTE: Data for the current month are preliminary. Table C6: Indexes of aggregate weekly manhours and payrolls in industrial and construction activities 1 Industry TOTAL MINING... CONTRACT CONSTRUCTION MANUFACTURING =100 ; 1 1 Manhours 108 o , Avg DURABLE GOODS Ordnance and accessories Lumber and wood products, except furniture Furniture and fixtures... Stone, clay, and glass products Primary metal industries Fabricated metal products Machinery Electrical equipment and supplies Transportation equipment Instruments and related products Miscellaneous manufacturing industries V.* J NONDURABLE GOODS Food and kindred products Tobacco manufactures Textile mill products Apparel and related products Paper and allied products Printing, publishing, and allied industries Chemicals and allied products Petroleum refining and related industries Rubber and miscellaneous plastic products Leather and leather products 105, Payrolls MINING CONTRACT CONSTRUCTION MANUFACTURING For mining and manufacturing, data refer to production and related workers; for NOTE: Data for the 2 most recent months are preliminary. :tion, data relai

111 ESTABLISHMENT DATA SEASONALLY ADJUSTED HOURS Table C7: Average weekly hours of production workers on payrolls of selected industries 1 seasonally adjusted Industry Nov. Oct. Sept. Aug. July June May Apr. Mar. Fe"b. MINING CONTRACT CONSTRUCTION ,1 3 3 MANUFACTURING Overtime hours DURABLE GOODS.... Overtime hours Ordnance and accessories... Lumber and wood products, except furniture... Furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Machinery.. Electrical equipment and supplies Transportation equipment... Instruments and related products Miscellaneous manufacturing industries l l l.O 4 4 4o.l 4o 4l o7 4o 4i 4 4o.o 4o«9 4lo o * * * * * NONDURABLE GOODS Overtime hours. Food and kindred products Tobacco manufactures Textile mill products Apparel and related products Paper and allied products Printing, publishing, and allied industries.... Chemicals and allied products.. *. Petroleum refining and related industries... Rubber and miscellaneous plastic products... Leather and leather products o.l 3 4 ^ o.i 4 38,5 4io i l.o l.O * * * * * * WHOLESALE AND RETAIL TRADE WHOLESALE TRADE 40 4o *0 40 1*0 1* RETAIL TRADE O For mining and manufacturing, data refer to production and related workers; for contract construction, to construction workers; and for wholesale and retail trade, to nonsupervisory workers. NOTE: Data for the 2 most recent months are preliminary.

112 ESTABLISHMENT DATA SEASONALLY ADJUSTED Table C8: Indexes of aggregate weekly manhours in industrial and construction activities 1 seasonally adjusted =100 Industry Nov. Oct. Sept. July June May Aor. Mar. TOTAL II6 11 H5«9 11 U MINING o CONTRACT CONSTRUCTION, MANUFACTURING II II6 H DURABLE GOODS Ordnance and accessories Lumber and wood produces, except furniture... Furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Machinery Electrical equipment and supplies Transportation equipment... Instruments and related products Miscellaneous manufacturing industries l4o ^ H » II O NONDURABLE GOODS ol Food and kindred products Tobacco manufactures Textile mill products Apparel and related products Paper and allied products. Printing, publishing, and allied industries Chemicals and allied products Petroleum refining and related industries Rubber and miscellaneous plastic products... Leather and leather products H II j 11' II '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 O6 1?

113 ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS 11 Table C9: Gross hours and arnings of production workers on manufacturing payrolls, by State and selected areas ALABAMA.... Birmingham Mobile State and area Averag Aver at;e weekly hours Average hourly $5 3 2 $5 4 8 arainjs $7 5 5 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 0, o COLORADO Denver CONNECTICUT.. Bridgeport Hartford. New Britain New Haven.. Stamford Waterbury DELAWARE Wilmington DISTRICT OF COLUMBIA: Washington SMSA FLORIDA 2 Fort LauderdaleHollywood 2. Jacksonville 2 Miami 2 Orlando * Pensacola 2 TampaSt. Petersburg 2 West Palm Beach GEORGIA Atlanta Savannah IDAHO ILLINOIS Chicago DavenportRock IslandMoline See footnotes at end of table. NOTE: Data for the current month are preliminary.

114 115 ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS Table C9: Gross hours and earnings of production workers on manufacturing payrolls, by State and selected areas Continued ILLINOIS(Continued) Peoria. Rockford State and area Average weekly earnings CD (D $ $1 128 Average weekly hours Average hourly $7 4 $1 1 INDIANA ; Indianapolis $126 (D $5 CD IOWA Cedar Rapids Des Moines KANSAS Topeka Wichita KENTUCKY. Louisville , CD LOUISIANA Baton Rouge New Orleans.. Shreveport o CD MAINE Lewi stonauburn Portland MARYLAND Baltimore MASSACHUSETTS Boston Brockton Fall River LawrenceHaverhill Lowell New Bedford SpringfieldChicopeeHolyoke.. Worcester o MICHIGAN Ann Arbor Bay City Detroit Flint Grand Rapids Jackson C Kalamazoo... Lansing. MuskegonMuskegon Heights 2 Saginaw MINNESOTA *.. DuluthSuperior * MinneapolisSt. Paul MISSISSIPPI Jackson MISSOURI Kansas City St. Louis MONTANA NEBRASKA. Omaha See footnotes at end of table. NOTE: Data for the current aonth are preliminary.

115 ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS Table C9 Gross hours and earnings of production workers on manufacturing payrolls, by State and selected areas Continued NEVADA State and area Average weekly earnings $8 $7 $ e weekly hours Average hourly earnings $6 $4 $5 NEW HAMPSHIRE Manchester; NEW JERSEY Atlantic City. Jersey City 3 Newark 3... PatersonCliftonPassaic ^... Perth Amboy Trenton o o NEW MEXICO. Albuquerque O NEW YORIL. AlbanySchenectadyTroy Binghamton Buffalo Elmira Monroe County 4 Nassau and Suffolk Counties 5 New YorkNortheastern New Jersey New York SMSA 3... New York City 5 Rochester Rockland County 5 Syracuse... UticaRome Westchester County NORTH CAROLINA Asheville $ Charlotte 2 GreensboroHigh Point 2. Raleigh * NORTH DAKOTA FargoMoorhead * o OHIO 2 Akron 2. Canton 2 Cincinnati 2 Cleveland 2. Columbus 2 Dayton 2 Toledo 2 YoungstownWarren OKLAHOMA Oklahoma City 2 Tulsa OREGON Eugene Portland PENNSYLVANIA AllentownBethlehemEaston Altoona Erie Harrisburg Johnstown Lancaster Philadelphia Pittsburgh.) Reading Scranton WilkesBarreHazleton York RHODE ISLAND ProvidencePawtucketWarwick See footnotes at end of table. NOTE: Data for the current month are preliminary.

116 17 ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS Table C9: Gross hours and earnings of production workers on manufacturing payrolls, by State and selected areas Continued State and area Average weekly earnings Average weekly hours Average hourly earnings SOUTH CAROLINA Charleston ;. Greenville $ $ $ $1 3 9 $1 3 9 $3 1 9 SOUTH DAKOTA Sioux Falls ' o TENNESSEE Chattanooga Knoxville, Memphis * Nashville TEXAS Amarillo Austin ^ BeaumontPort Arthur Corpus Christi Dallas * El Paso Fort Worth * GalvestonTexas City $... Houston ^ Lubbock. San Antonio Waco 6 Wichita Falls UTAH... Salt Lake City o VERMONT Burlington Springfield VIRGINIA Lynchburg NorfolkPortsmouth Richmond Roanoke WASHINGTON Spokane WEST VIRGINIA... Charleston WISCONSIN Green Bay Kenosha La Crosse "?. WYOMING inot available. 2 Revised series; not strictly comparable with previously published data. 3 Area included in New YorkNortheastern New Jersey Standard Consolidated Area. 4 Subarea of Rochester Standard Metropolitan Statistical Area. ^Subarea of New York Standard Metropolitan Statistical Area. Initial inclusion in this publication. (Definitions for areas included initially in employment are shown at end of table B7.) Effective with this publication, data for La Crosse cover La Crosse County. Previous publications for this series were limited to La Crosse City. NOTE: Data for the current month are preliminary. SOURCE: Cooperating State agencies listed on inside back cover.

117 ESTABLISHMENT DATA LABOR TURNOVER Table Dl: Labor turnover rates in manufacturing 1957 to date x. I960.., I962.., , (Per 100 employees) MM. Apr. May July Aug. Sept. Oct. No* *9 39 Total accessions l\l 3*9 li li 35 3*9 Annual average li 1959^ i Total separations X I Quits I L Layoffs I fL ^Beginning with January 1959, transfers between establishments of the same firm are included in total accessions and total.separations, therefore rates for these items are not strictly comparable with prior data. Transfers comprise part of other accessions and other separations, the rates for which are not shown separately. NOTE: Data include Alaska and Hawaii beginning This inclusion has not significantly affected the labor turnover series. Data for the current month are preliminary. '

118 ESTABLISHMENT DATA LABOR TURNOVER Code Industry Table D2* Labor turnover rates, by industry (Per 100 employees) Toad Accession cmces New hires Avg. Aw. ] 1 Total 1 1 Avg. Separation races Quits Jan, Dec, 1 Avg, 1 Layoffs Dec, 6 Avg. 966 MANUFACTURING... 19,24,25, ,2631 DURABLE GOODS NONDURABLE GOODS. 45 k Durable Goods ,3,5,6,9 ORDNANCE AND ACCESSORIES Ammunition, except for small arms. Sighting and fire control equipment Other ordnance and accessories ,2 249 LUMBER AND WOOD PRODUCTS, EXCEPT FURNITURE... Sawmills and planing mills Sawmills and planing mills, general Millwork, plywood, and related products Millwork Veneer and plywood... Wooden containers Wooden boxes, shook, and crates Miscellaneous wood products k k.k l.l FURNITURE AND FIXTURES Household furniture.. Wood house furniture, unupholstered Wood house furniture, upholstered Mattresses and bedsprings Office furniture k.q k.q STONE, CLAY, AND GLASS PRODUCTS Flat glass Glass and glassware, pressed or blown. Glass containers. Pressed and blown glassware, n.e.c Cement, hydraulic Structural clay products Brick and structural clay tile Pottery and related products Abrasive products 1,6.4 l A 2*5.4 2.J , , PRIMARY METAL INDUSTRIES Blast furnace and basic steel products Blast furnaces, steel and rolling mills Iron and steel foundries Gray iron foundries Malleable iron foundries Steel foundries. Nonferrous smelting and refining Nonferrous rolling, drawing, and extruding. Copper rolling, drawing, and extruding Aluminum rolling, drawing, and extruding Nonferrous wire drawing, and insulating. Nonferrous foundries Aluminum castings. Other nonferrous castings. Miscellaneous primary metal industries Iron and steel forgings '... See footnotes at end of table. NOTE: Data for the current month are preliminary. k.2 k.q k.o 2.k

119 ESTABLISHMENT DATA LABOR TURNOVER Table D2«. labor tursiovor rates, by industry Continued SIC Code Industry (Per 100 employees) Accession rates Avg New hires Avg, Total Avg, Separation rates Quits Avg, Layoffs Avg. Durable GoodsContinued ,3, , , ,8 FABRICATED METAL PRODUCTS Metal cans Cutlery, hand tools, and general hardware Cutlery and hand tools, including saws Hardware, n.e.c. Heating equipment and plumbing fixtures Sanitary ware and plumbers' brass goods, Heating equipment, except electric Fabricated structural metal products Fabricated structural steel.. Fabricated plate work (boiler shops) Architectural and miscellaneous metal work... Screw machine products, bolts, etc Bolts, nuts, screws, rivets, and washers Metal stampings Miscellaneous fabricated wire products Miscellaneous fabricated metal products Valves, pipe, and pipe fittings , i , , , , , MACHINERY Engines and turbines. Steam engines and turbines Internal combustion engines, n.e.c.... Farm machinery and equipment Construction and related machinery Construction and mining machinery Oil field machinery, and equipment.. Conveyors, hoists, and industrial cranes Metalworking machinery and equipment Machine tools, metal cutting types.. Machine tool accessories Miscellaneous metalworking machinery. Special industry machinery. Food products machinery Textile machinery General industrial machinery. Pumps; air and gas compressors Ball and roller bearings. Mechanical power transmission goods Office, computing, and accounting machines Computing machines and cash registers Service industry machines. Refrigeration, except home refrigerators ELECTRICAL EQUIPMENT AND SUPPLIES Electric distribution equipment Electric measuring instruments.. Power and distribution transformers Switchgear and switchboard apparatus Electrical industrial apparatus Motors and generators Industrial controls Household appliances Household refrigerators and freezers Household laundry equipment Electric bousewares and fans Electric lighting and wiring equipment.. Electric lamps Lighting fixtures Wiring devices Radio and TV receiving sets Communication equipment Telephone and telegraph apparatus Radio and TV communication equipment... Electronic components and accessories Electron tubes Electronic components, n.e.c. Miscellaneous electrical equipment and supplies Electrical equipment for engines 3,1 is () (l) (l) CD (i) CD CD CD CD CD CD 2 sx CD CD CD CD CD CD CD CD CD CD B CD CD CD CD CD CD CD CD i lit 7 CD CD ' CD CD CD CD CD.2 CD CD CD CD C2) C2) , See footnotes at end of table. NOTE;. Data for the current month are preliminary.

120 ESTABLISHMENT DATA LABOR TURNOVER Table D2: Labor turnover rates, by industry.continued SIC Code Industry (Per 100 employees) Accession rates Separation rates Total New hires Total Quits Layoffs Dec, Avg. Avg, Dec, Avg, Avg Avg. 19 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.... ; 7 1 A CD CD (D (Ḍ 7 (D , INSTRUMENTS AND RELATED PRODUCTS... Engineering and scientific instruments.. Mechanical measuring and control devices Mechanical measuring devices Automatic temperature controls Optical and ophthalmic goods.. Surgical, medical, and dental equipment.. Photographic equipment and supplies Watches and clocks 9.0 3O9 6O3 2,2 <D.2 CD (D ,8,9 MISCELLANEOUS MANUFACTURING INDUSTRIES Jewelry, silverware, and plated ware Toys, amusement, and sporting goods Toys, games, dolls, and play vehicles.... Sporting and athletic goods, n.e.c.... Pens, pencils, office and art materials Costume jewelry, buttons, and notions... Other manufacturing industries 4, Nondurable Goods FOOD AND KINDRED PRODUCTS Meat products Meat packing Poultry dressing and packing Grain mill products Flour and other grain mill products Prepared feeds for animals and fowls Bakery products Bread, cake, and perishable products Biscuit, crackers, and pretzels Confectionery and related products. Candy and other confectionery products Beverages Malt liquors 9, , , TOBACCO MANUFACTURES Cigarettes Cigars 7.1 (2).2 See footnotes at end of table. NOTE: Data for the current month are preliminary.

121 ESTABLISHMENT DATA LABOR TURNOVER Table D2: Labor turnover rates, by industry Continued SIC Code Industry (Per 100 employees) Total Accession races Avg, New hires Avg. Separation rates Total Quits Layoffs Avg. Avg. Avg. Nondurable GoodsContinued TEXTILE MILL PRODUCTS Cotton broad woven fabrics. Silk and synthetic broad woven fabrics Weaving and finishing broad woolens Narrow fabrics and smallwares Knitting Women's full and knee length hosiery. Miscellaneous hosiery and socks Knit underwear Finishing textiles, except wool and knit Floor covering Yarn and thread Miscellaneous textile goods APPAREL AND RELATED PRODUCTS Men's and boys' suits and coats Men's and boys' furnishings Men's and boys' shirts and nightwear Men's and boys' separate trousers Work clothing. Women's and children's undergarments Women's and children's underwear Corsets and allied garments 2 O ,2, , PAPER AND ALLIED PRODUCTS Paper and pulp, Paperboard Converted paper and paperboard products Bags, except textile bags Paperboard containers and boxes Folding and setup paperboard boxes. Corrugated and solid fiber boxes PRINTING, PUBLISHING, AND ALLIED INDUSTRIES , ,9 CHEMICALS AND ALLIED PRODUCTS Industrial chemicals Plastics and synthetics, except glass. Plastics and synthetics, except fibers... Synthetic fibers Drugs Pharmaceutical preparations Soap, cleaners, and toilet good&«soap and detergents Toilet preparations Paints, varnishes, and allied products Other chemical products i;4 15 2,1 8.2! ,9 PETROLEUM REFINING AND RELATED INDUSTRIES. Petroleum refining Other petroleum and coal products 1* ,3,6 307 RUBBER AND MISCELLANEOUS PLASTICS PRODUCTS Tires and inner tubes Other rubber products Miscellaneous plastics products 6 ] 9 i i.2 See footnotes at end of table. NOTE: Data for die current month are preliminary.

122 ESTABLISHMENT DATA LABOR TURNOVER SIC Code Industry Table D2: Labor turnover rates, by industry Continued (Per 100 employees) Total Accession rates Avg. Avg. Total Separation rates Quits Avg. Avg. Layoffs Avg Nondurable GoodsContinued LEATHER AND LEATHER PRODUCTS Leather tanning and finishing.... Footwear, except rubber NONMANUFACTURING (D ,12 12 METAL MINING Iron ores Copper Ores, COAL MINING Bituminous U0 CD.2 (D COMMUNICATION: Telephone communication. Telegraph communication 3, inot available. 2Less than 0.05«3Data relate to all employees except messengers. NOTE: Data for the current month are preliminary. CD (D (D (D (D.2

123 ESTABLISHMENT DATA * SEASONALLY ADJUSTED LABOR TURNOVER Table D4. Labor turnover rates in manufacturing, 1957 to date seasonally adjusted (Per 100 employees) Apr. May June July. Aug. Sept. Oct. Total accessions X I l« :8 & U I ,5 2* , 1959 x. i960..< , , , , Total separations Quits k I Layoffs I ^Beginning with January 1959, transfers between establishments of the same firm are included in total accessions and total.separations, therefore rates for these items are not strictly comparable with prior data. Transfers comprise part of other accessions and other separations, the rates for which are not shown separately. NOTE: Data include Alaska and Hawaii beginning This inclusion has not significantly affected the labor turnover series. Data for the current month are preliminary.

124 U5 ESTABLISHMENT DATA STATE AND AREA LABOR TURNOVER Table D5: Labor turnover rates in manufacturing for selected States and areas ALABAMA Birmingham Mobile *.. State and area k (Per 100 employees) Accession rates Nov k 1Q66 l.k Nov. 9 Nov. 8 Separation rates Quits Nov. Layoffs 8.2 ARIZONA. Phoenix k 1 k.k 92 p.o k ARKANSAS Fort Smith Little RockNorth Little Rock Pine Bluff k.2 k.q 9 k.k k.k 53 2.k CALIFORNIA x AnaheimSanta AnaGarden Grove Los AngelesLong Beach? Sacramento San BernardinoRiversideOntario San Diego *. San FranciscoOakland * San Jose * Stockton. * 5 k".q k~0 k k k k.k CONNECTICUT.. Bridgeport *.. Hartford New Britain *. New Haven * Stamford.. Waterbury k 2,7 1*6.1 DELAWARE Wilmington.2 DISTRICT OF COLUMBIA: Washington SMSA... FLORIDA Fort LauderdaleHollywood. Jacksonville... Miami Orlando Pensacola... TampaSt. Petersburg West Palm Beach GEORGIA.. Atlanta ^ (2) 39 k 2.k k.k (2) k.k 8 (2) k.l k.2 53 (2) k.q '33 (2).k IDAHO k.q ILLINOIS: Chicago.... k.k k.l. k.q INDIANA 1 Indianapolis.2 IOWA Cedar Rapids. Des Moines.. k.2 k.o 2.k 33 k.l k.q k.2 k.2 k.k See footnotes at end of table. NOTE: Data for the current month are preliminary.

125 ESTABLISHMENT DATA STATE AND AREA LABOR TURNOVER Table 05: Labor turnover rates in manufacturing for selected States and areas Continued (Per 100 employees) Accession rates Separation rates State and area KANSAS Topeka, Wichita, KENTUCKY Louisville LOUISIANA. ^ New Orleans (2) Nov. 33 (2) Nov. 1Q66 (2) Nov. (2) Nov. (2).4 9 MAINE Portland k > MARYLAND. Baltimore 2.k MASSACHUSETTS Boston... Fall River New Bedford..... SpringfieldChicopeeHolyoke. Worcester MICHIGAN Detroit Grand Rapids * Kalamazoo *...'" Lansing * MuskegonMuskegon Heights * Saginaw * 2.k 2.k 33 3.k MINNESOTA DuluthSuperior MinneapolisSt. Paul 34 k.2 MISSISSIPPI * Jackson MISSOURI Kansas City St. Louis (2) k.2 (2) k k.l (2) Io7 (2) (2).2 MONTANA 5 3*9 NEBRASKA... k.o k k k NEW HAMPSHIRE... 5.k k NEW JERSEY: Jersey City Newark PatersonCliftonPassaic. Perth Amboy Trenton 35.4 NEW MEXICO Albuquerque NEW YORK. AlbanySchenectadyTroy. Binghamton., Buffalo Elmira Monroe County... See footnotes at end of table. NOTE: Data for the current month are preliminary ?.1 (8) #.4

126 ESTABLISHMENT DATA STATE AND AREA LABOR TURNOVER Table D5: Labor turnover rates in manufacturing for selected States and areas Continued State and area NEW YORK (continued) Nassau and Suffolk Counties 10 New York SMSA New York City 10 Rochester Syracuse UticaRome Westchester County *... Nov. (Per 100 employees) Nov. Nov. Separation rates Nov..4 Layoffs Nov. NORTH CAROLINA Charlotte GreensboroHigh Point k NORTH DAKOTA FargoMoorhead OHIO Akron Canton Cincinnati Cleveland Columbus Dayton Toledo YoungstownWarren 32 U 1*5 OKLAHOMA * Oklahoma City Tulsa U k 33 OREGON X Portland X k.l 3.P 33 PENNSYLVANIA * AllentownBethlehemEaston.. Altoona Erie Harrisburg... Johnstown..." Lancaster Philadelphia Pittsburgh. Reading Scranton WilkesBarre Hazleton... York RHODE ISLAND ProvidencePawtucketWarwick k.l 1* I k.k 5:3!8 SOUTH CAROLINA * Charleston * Greenville.1.1 SOUTH DAKOTA Sioux Falls (8) TENNESSEE * Chattanooga. Knoxville * Memphis Nashville * TEXAS 12. Dallas 12 Fort Worth 12. Houston San Antonio See footnotes at end of table. NOTE: Data for the current month are preliminary.

127 ESTABLISHMENT DATA STATE AND AREA LABOR TURNOVER Table D5: Labor turnover rates in manufacturing for selected States and areas Continued State and area (Per 100 employees) Accession rates New hires Nov. Nov. 1Q66 Nov. Separation rates Nov. Layoffs Nov. UTAH 5 Salt Lake City 5. VERMONT. Burlington. Springfield. VIRGINIA... NorfolkPortsmouth *. Richmond Roanoke fc.o 30 2.k 31 k.o 32 2.k 3,7 k~o l.k l.k.2 ".1 WASHINGTON SeattleEverett Spokane. Tacoma k.l k k.k WEST VIRGINIA Charleston.... Hunt ingtonash land Wheeling l.k (8) WISCONSIN. Green Bay. Kenosha.. La Crosse. Madison.. Milwaukee. Racine... 2.k 3.k * k k.2.k.k WYOMING k.l 5.k k 2.k l.k * Labor turnover data discontinued owing to reduction in resources available for program. 1 Excludes canning and preserving. 2 Not available. ^ Excludes agricultural chemicals and miscellaneous manufacturing* 4 Excludes canned fruits, vegetables, preserves, jams and jellies. 5 Excludes canning and preserving, and sugar. 6 Excludes canning and preserving, and newspapers. ^ Excludes printing and publishing. 8 Less than Subarea of Bochester Standard Metropolitan Statistical Area. 10 Subarea of New York Standard Metropolitan Statistical Area. 11 Excludes newhire rate for transportation equipment. 12 Excludes canning and preserving, sugar, and tobacco. Excludes canningftpfl preserving, printing and publishing. NOUE: Data for the current month are preliminary. SOURCE: Cooperating State agencies listed on inside back cover.

128 UNEMPLOYMENT INSURANCE DATA Table El: Insured unemployment under State programs TOTAL 2. State SEASONALLY ADJUSTED. (Week including the 12th of the month) ' 11 3 Number (in thousands) Change to 153 2, from Rate (percent of average covered employment) 33 Alabama Alaska California* Delaware Florida Hawaii Idaho Illinois Maine Michigan Nebraska Nevada New York... North Carolina. North Dakota * Ohio Oregon Puerto Rico.*? Rhode Island. Tennessee '.... Utah Virginia... Wisconsin. Wyoming B C , " ' ' Based on unrounded data; changes of less than 50 not shown. 2 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. ^Revised A A 31 ** A O 67

129 UNEMPLOYMENT INSURANCE DATA 0 Table E2: Insured unemployment 1 in 150 major labor areas 2 (In thousands, for week including the 12th of the month) State and area State and area State and area State and area ALABAMA Birmingham.. Mobile ARIZONA Phoenix..., ARKANSAS Little Rock.. CALIFORNIA* 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, A ,6 4 1 INDIANA Evans ville Ft. Wayne Gary Hammond.. 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 ' 12 3 B NEW 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 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 MINNESOTA Duluth Minneapolis.. MISSISSIPPI Jackson MISSOURI Kansas City... St. Louis NEBRASKA Omaha OREGON Portland. PENNSYLVANIA Allentown Altoona Erie Harris burg Johnstown Lancaster Philadelphia... Pittsburgh Reading Scranton WilkesBarre 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.

130 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 administrative statistics of unemployment insurance systems. Data based on household interviews are obtained from a sample survey of the population 16 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 52,500 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 12th of the month. Data hasedon establishment pay roll records are compiled each month from mail questionnaires by the Bureau of Labor Statistics, in cooperation with State agencies. The payroll survey provides detailed industry information on nonagricultural wage and salary employment, average weekly hours, average hourly and weekly earnings, and labor turnover for the Nation, States, and metropolitan areas. The figures are based on payroll reports from a sample of establishments employing about 25 million nonfarm wage and salary workers. The data relate to all workers, full or parttime, who received pay during the payroll period which includes the 12th 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 15 hours or more during the survey week in familyoperated enterprises. Employment in both farm and nonfarm industries is included. The payroll survey covers only wage and salary employees on the payrolls of nonfarm establishments. Multiple jobholding. The household approach provides information on the work status of the population without duplication since each person is classified as employed, unemployed, or not in the labor force. Employed persons holding more than one job are counted only once.and are classified according to the job at which they worked the greatest number of hours during the survey week. In the figures based on establishment records, persons who worked in more than one establishment during the reporting period are counted each time their names appear on payrolls. Unpaid absences from jobs. The household survey includes among the employed all persons who had jobs but were not at work during the survey week that is, were not working 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 1 3 1

131 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 16 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 Welfa're, 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 nonfarm wage and salary workers are covered by the unemployment insurance programs. All workers in certain activities, such as interstate railroads, are excluded. In addition, small firms in covered industries are also excluded in 32 States. In general, these are establishments with less than four employees. 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* 9 (BLS Report 3). 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 16 years and over. Respondents are interviewed to obtain information about the employment status of each member of the household 16 years of age and over. The inquiry relates to activity or status during the calendar week, 2

132 Sunday through Saturday, which includes the 12th of the month. This is known as the survey week. Actual field interviewing is conducted in the following week. Inmates of institutions and persons under 16 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, 52,500 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 52,500 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 15 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. 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. 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. Not in labor force includes all civilians 16 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 15 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. Persons with two or more jobs are classified in the job at which they* worked the greatest number of hours during the survey week. The 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 1960 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 8 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 3

133 own business, profession, or trade, or operate a farm. Unpaid family workers are persons working without pay for 15 hours a week or more on a farm or in a business operated by a member of the household to whom they are related by blood or marriage. Hours of work statistics relate to the actual number of hours worked during the survey week. For example, a person who normally works 40 hours a week but who was off on the Veterans Day holiday would be reported as working 32 hours even though he was paid for the holiday. For persons working in more than one job, the figures relate to the number of hours worked in all jobs during the week. However, all the hours are credited to the major job. Persons who worked 35 hours or more in the survey week are designated as working "full time"; persons who worked between 1 and 34 hours are designated as working "part time." 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 4 hours for noneconomic reasons but usually work full time. Full and '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 3 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 that persons on part time for economic reasons lost the difference between 3 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. 1. 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 nonfarm, 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 1960 Census data on the colorresidence distribution of the population. This step takes into account the differences existing at the time of the 1960 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 (1960) to take account of subsequent aging of the population, mortality, and migration between the United States and other countries. 3. Composite estimate procedure. In deriving statistics for a given month, a composite estimating procedure is used which takes account of net changes from the previous month for continuing parts of the sample (75 percent) as well as the sample results for the current month. This procedure reduces the sampling variability of monthtomonth changes especially and of the levels for most items also. 1 34

134 Reliability of the Estimates Since the estimates are based on a sample, they may differ from the figures that would have been obtained if it were possible to take a complete census using the same schedules and procedures. The standard error is a measure of sampling variability, that is, the variations that might occur by chance because only a sample of the population is surveyed. The chances are about 2 out of 3 that an estimate from the sample would differ from a complete census by less than the standard error. The chances are about 19 out of 20 that the difference would be less than twice the standard error. Table A shows the average standard error for the major employment status categories, by sex, computed from data for past months. Estimates of change derived from the survey are also subject to sampling variability. The standard error of change for consecutive months is also shown in table A. The standard errors of level shown in table A are acceptable approximations of the standard errors of yeartoyear change. Table A. Average standard error of major employment status categories Employment status and sex BOTH SEXES Labor force and total Nonagricultural employment MALE Labor force and total Nonagricultural employment FEMALE (In thousands) Labor force and total emdloyment Agriculture.... u Nonagricultural employment Unemployment Average standard error of Monthly level Monthtomonth change (consecutive months only) 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 monthtomo nth 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 monthtomo nth change in table C corresponding to this standard error of level. It should be noted that table C applies to estimates of change between 2 consecutive months. For changes between the current month and the same month last year, the standard errors of level shown in table B are acceptable approximations. Size of estimate ,000 2,500 5,000 10, , , , Table B. Standard error of level of monthly estimates (In thousands) Both sexes Total or white e a Male Total or white s Female Total or white Nonwhite Nonwhite Nonwhite Illustration: Assume that the tables showed the total number of persons working a specific number of hours as 15,000,000, an increase of 500,000 over the previous month. Linear interpolation in the first column of table B shows that the standard error of 15,000,000 is about 3,000. Consequently, the chances are about 68 out of 100 that the sample estimate differs by less than 3,000 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 3,000 as the standard 40 o e e 5

135 error of the monthly level in table C, it may be seen that the standard error of the 500,000 increase is about 126,000. Table G. Standard error of estimates of monthtomonth change (In thousands) 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. Table D. Standard error of percentage Standard error of monthly level O 50 9e eee Standard error of monthtomonth change 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 Base of percentages (thousands) , , , , , , , , or 99, or or 95 Estimated percentage or or or or or COLLECTION Payroll reports provide current information on wage and salary employment, hours, earnings, and labor turnover in nonfarm establishments, by industry and geographic location. FederalState Cooperation Under cooperative arrangements with State agencies, the respondent fills out only one employment or labor turnover schedule, which is then used for national, State, and area estimates. This eliminates duplicate reporting on the part of respondents and, together with the use of identical techniques at the national and State levels, insures maximum comparability of estimates. State agencies mail the forms to the establishments and examine the returns for consistency, accuracy, and completeness. The States use the information to prepare State and area series and then send the data to the BLS for use in preparing the national series. Shuttle Schedules Two types of data collection schedules are used: Form BLS 790 Monthly Report on Employment, Payroll, and Hours; and Form DL 1219 Monthly Report Establishment Data on Labor Turnover. These schedules are of the "shuttle" type, with space for each month of the calendar year. The schedule is returned to the respondent each month by the collecting agency so that the next month's data can be entered. This procedure assures maximum comparability and accuracy of reporting, since the respondent can see the figures he has reported for previous months. The BLS 790 provides for entry of data on the number of full and parttime workers on the payrolls of nonagricultural establishments and, for most industries, payroll and manhours of production and related workers or nonsupervisory workers for the pay period which includes the 12th of the month. The labor turnover schedule provides for the collection of information on the total number of accessions and separations, by type, during the calendar month. CONCEPTS Industrial Classification Establishments are classified into industries on the basis of their principal product or activity determined from information on annual sales, volume. This information is collected each year on a supplement to the 6

136 monthly90 or 1219 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 Manuals. Bureau of the Budget, 1957, as amended by the 1963 Supplement. industry Employment Employment data except that for the Federal Government refer to persons on establishment payrolls who received pay for any part of the pay period which includes the 12th of the month. For Federal Government establishments, employment figures represent the number of persons who occupied positions on the last day of the calendar month. Intermittent workers are counted if they performed any service during the month. The data exclude proprietors, the selfemployed, unpaid family workers, farm workers, and domestic workers in households. Salaried officers of corporations are included. Government employment covers only civilian employees; Federal military personnel are excluded from total nonagricultural employment. Persons on an establishment payroll who are on paid sick leave (when pay is received directly from the firm), on paid holiday or paid vacation, or who work during a part of the pay period and are unemployed or on strike during the rest of the period, are counted as employed. Not counted as employed are persons who are laid off, on leave without pay, or on strike for the entire period, or who are hired but do not report to work during the period. Industry Hours and Earnings Hours and earnings data are derived from reports of payrolls and manhours for production and related workers in manufacturing and mining, construction workers in contract construction, and nonsupervisory employees in the remaining nonfarm components. For Federal Government, hours and earnings relate to all employees who worked or received pay during the pay period which includes the 12th of the month. Terms are defined below. When the pay period reported is longer than 1 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 e, 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, attendants, service employees, linemen, laborers, janitors, watchmen, and similar occupational levels, and other employees whose services are closely associated with those of the employees listed. Payroll covers the payroll for full and parttime production, construction, or nonsupervisory workers who received pay for any part of the pay period which includes the 12th of the month. The payroll is reported before deductions of any kind, e.g., for 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), and the value of free rent, fuel, meals, or other payment in kind are excluded. Manhours cover manhours worked or paid for, during the pay period which includes the 12th 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 premium overtime hours of production and related workers during the pay period which includes the 12th of the month. Overtime hours are those for which premiums were paid because the hours were in excess of the number of hours of either the straighttime workday or workweek. Weekend and holiday hours are included only if premium wage rates were paid. Hours for which only shift differential, hazard, incentive, or other similar types of premiums were paid are excluded. Gross Average Hourly and Weekly Earnings Average hourly earnings 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 1 earnings in individual establishments also affect the general earnings averages. Averages for groups and divisions further reflect changes in average hourly earnings for individual industries. Averages of hourly earnings differ from wage rates. Earnings are the actual return to the worker for a stated period of time, while rates are the amounts stipulated for a given unit of work or time. The earnings series, however, does not measure the level of total labor costs on 7

137 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, parttime work, and stoppages cause average weekly hours to be lower than scheduled hours of work for an establishment. Group averages further reflect changes in the workweek of component industries. Average Overtime Hours The overtime hours represent that portion of the gross average weekly hours which were in excess of regular hours and for which premium payments were made. If an employee worked on a paid holiday at regular rates, receiving as total compensation his holiday pay plus 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, 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 may also be caused by a marked change in gross hours for a component industry where little or no overtime was worked in both the previous and current months. In addition, such factors as stoppages, absenteeism, and labor turnover may not have the same influence on overtime hours as on gross hours. Railroad Hours and Earnings The figures for class I railroads (excluding switching and terminal companies) are based on monthly data summarized in the M300 report of the Interstate Commerce Commission and relate to all employees who received pay during the month, except executives, officials, and staff assistants (ICC group I), Gross average hourly earnings are computed by dividing total compensation by total hours paid for. Average weekly hours are obtained by dividing the total number of hours paid for reduced to a weekly basis, by the number of employees, as defined above. Gross average weekly earnings are derived by multiplying average weekly hours by average hourly earnings. Spendable Average Weekly Earnings Spendable average weekly earnings in current dollars are obtained by deducting estimated Federal social security and income taxes from gross weekly earnings. The amount of income tax liability depends on the number of dependents supported by the worker 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 the gross average weekly earnings for all production or nonsupervisory workers in the industry division without regard to total family income. "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 (195759). Average Hourly Earnings Excluding Overtime Average hourly earnings excluding premium overtime pay are computed by dividing the total productionworker payroll for the industry group by the sum of total productionworker manhours and onehalf of total overtime manhours. Prior to January 1956, these data were based on the application of adjustment factors to gross average hourly earnings (as described in the Monthly Labor Review, May 1950, pp ). Both methods eliminate only the earnings due to overtime paid for at li 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 100 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

138 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. Comparability With Employment Series Mo nthtomo nth changes in total employment in manufacturing industries reflected by labor turnover rates are not comparable with the changes shown in the Bureau's employment series for the following reasons.* Accessions and separations are computed for the entire calendar month; the employment reports refer to the pay period which includes the 12th of the month; and (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, and (2) periodic adjustment of employment levels to new benchmarks, and 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." 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 on Measurement of Employment, Hours, and Earnings in Nonagricultural Industries and on Measuremnt 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 production 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 periodically compared 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 1965 levels. Normally, benchmark adjustments are made annually. The primary source of benchmark information is the employment data, by industry, compiled quarterly by State agencies* from reports of establishments covered under State unemployment insurance laws. These tabulations, covering threefourths of the total nonfarm employment in the United States, are prepared under the direction of the Bureau of Employment Security. Benchmark data for the residual are obtained from the records of the Social Security Administration, the Interstate Commerce Commission, and a number of other agencies in private industry or government. The estimates relating to the benchmark month are compared with new benchmark levels, industry by industry. If revisions are necessary, the monthly series of estimates are adjusted between the new benchmark and the preceding one, and the new benchmark for each industry is then carried forward progressively to the current month by use of the sample trends. Thus, under 9

139 this procedure, the benchmark is used to establish the level of employment, while the sample is used to measure the monthtomonth changes in the level. Data for all months since the last benchmark to which the series has been adjusted are therefore subject to revision. To provide users of the data with a convenient reference source for the revised data, the BLS publishes as soon as possible after each benchmark revision a summary volume of employment, hours, earnings, and labor turnover statistics. THE SAMPLE Design The sampling plan used in the current employment statistics program is an optimum allocation design known as "sampling proportionate to average size of establishment." 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 total size of sample 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 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 a 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. In order 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 producing timely data at minimum cost, a sample must be obtained which will' provide coverage of a sufficiently large segment of the universe to provide reasonably reliable estimates that can be published promptly and regularly. The present sample meets these specifications for most industries. With its use, the BLS is able to produce preliminary estimates each month for many industries and for many geographic levels within a few weeks after reports are mailed by respondents, and at a somewhat later date, statistics in considerably greater industrial detail. The tendency of such a sample to produce biased estimates of the level of earnings for certain industries is counteracted by the stratified estimating procedure described under "Estimating Methods." Coverage The BLS sample of establishment employment and payrolls is the largest monthly sampling operation in the field of social statistics. The table that follows shows the approximate proportion of total employment in each industry division covered by the group of establishments furnishing monthly employment data. The coverage for individual industries within the division may vary from the proportions shown. Approximate size and coverage of BLS employment and payrolls sample, March 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 Service and miscellaneous... Government: Federal (Civil Service Commission) 2 State and local... Number reported Employees 287, ,000 11,338, ,000 1,740,000 2,403,000 1,030,100 1,682,000 2,326,000 3,980,000 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. 140

140 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 1965 Industry Manufacturing Communication: Number reported 10,809,200 65,800 61, ,200 21,600 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 very high degree of accuracy. Therefore, sampling variability as expressed in standard errors of the estimate is of little consequence, particularly with respect to monthtomonth changes. However, since the use of the link relative technique requires the use of the previous month 1 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 to new benchmarks annually. 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 1965 benchmark is available from the Bureau upon request.) An approximation of the standard deviations (based on the experience of the last several years) of revisions between final estimates and benchmarks, and (2) preliminary and final estimates, are presented in the following table. The chances are about 2 out of 3 that the revisions will be less than the amount indicated for each size of estimate. The chances are about 19 out of 20 that the revisions will be less than twice the amount indicated. Average standard deviation of revisions between final estimates and benchmarks and between preliminary and final estimates Size of empl. estimate 50, , , ,000 1,000,000 1 Assuming revisions. Standard deviations of revisions Final 1 2,000 2,500 4,000 7,500 12,000 Preliminary ,300 2,400 4,100 12month intervals between benchmark 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 Service and miscellaneous... Government The entire difference between the estimate and benchmarks is assumed to have accumulated at a regular rate. Accordingly, the all employee series, for months between the current and the last preceding benchmark, are adjusted by tapering out the difference back from the current benchmark to the last previous benchmark. The series for months subsequent to the benchmark month are revised by projecting the level of the new benchmark by the trend of the unadjusted series. For the most recent months, national, State, and area estimates 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 design have been received 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 Earning sand Monthly Report on the Labor Force that contains State and area annual averages. Changes in definitions are noted as they occur. Additional industry detail may be obtained from the State agencies listed on the inside back cover of each issue. These statistics are based on the same establishment reports used by

141 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 data of availability of each series) in a summary volume published annually by the Bureau of Labor Statistics. 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 12month period ending 6 to 8 months prior to the week of reference. Initial UNEMPLOYMENT INSURANCE DATA 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. SEASONAL ADJUSTMENT Many economic statistics reflect a regularly recurring seasonal movement which can be estimated on the basis of past experience. By eliminating that part of the change which can be ascribed to usual seasonal variation, it is possible to observe the cyclical and other nonseasonal movements in the series. However, in evaluating deviations from the seasonal pattern that is, changes in a seasonally adjusted series it is important to note that seasonal adjustment is merely an approximation based on past experience. Seasonally adjusted estimates have a broader margin of possible error than the original data on which they are based, since they are subject not only to sampling and other errors but, in addition, are affected by the uncertainties of the seasonal adjustment process itself. Seasonally adjusted series for selected labor force and establishment data are published regularly in Employment and Earnings and Monthly Report on the Labor Force. 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 (), which may be obtained from the Bureau on request. An earlier version of the method is described in Appendix G of the 1962 Report of the Presidents Committee to Appraise Employment and Unemployment Statistics, Measuring Employment and Unemployment. For establishment data, the seasonally adjusted series on weekly hours and labor turnover rates for industry groupings are computed by applying factors directly to the corresponding unadjusted series, but seasonally adjusted employment totals for all employees and production workers by industry divisions are obtained by summing the seasonally adjusted data which are published for component industries. 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. 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 September 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. 142

142 For each of the three major 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. 143

143 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) Aggregate industry levels (divisions, groups and, where stratified, individual cells) Monthly 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 weekly 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 for 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 100. For men (or women), the number of men (women) who quit is divided by the total number of men (women) employed. Average, weighted by employment, of the rates for component cells. Annual Average Data All employees and production or nonsupervisory workers. Sum of monthly estimates divided by 12. Sum of monthly estimates divided by 12. Gross average weekly hours Annual total of aggregate 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 pf employment for these workers. Gross average hourly earnings Annual total of aggregate payrolls (production \ or nonsupervisoryworker employment multiplied\ by weekly earnings) divided by annual aggregate manhours. Annual total of aggregate payrolls divided by annual 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. Labor turnover rates.. Sum of monthly rates divided by 12. Sum of monthly rates divided by U. S. GOVERNMENT PRINTING OFFICE : O

144 UNITED STATES DEPARTMENT OF LABOR Bureau of Labor Statistics Regional Offices U.S. DEPARTMENT OF LABOR BLS Regional Director John Fitzgerald Kennedy Federal Bldg. Government Center Room 1603A Boston, Mass. 0Z203 U.S. DEPARTMENT OF LABOR BLS Regional Director 341 Ninth Avenue New York, N. Y U.S. DEPARTMENT OF LABOR BLS Regional Director 71 Peachtree Street, N. E. Atlanta, Ga U.S. DEPARTMENT OF LABOR BLS Regional Director 65 Ontario Street Cleveland, Ohio U. S. DEPARTMENT OF LABOR BLS Regional Director 219 South Dearborn Street Chicago, U. S. DEPARTMENT OF LABOR BLS Regional Director 450 Golden Gate Avenue, Box San Francisco, Calif COOPERATING STATE AGENCIES ALABAMA ALASKA ARIZONA ARKANSAS CALIFORNIA Department of Industrial Relations, Montgomery Employment Security Division, Department of Labor, Juneau T T. 1 A. /"**. J * T~*i 1 1.i T7^ 1 A. *" «J ix Employment, COLORADO CONNECTICUT DELAWARE DISTRICT OF COLUMBIA FLORIDA GEORGIA HAWAII IDAHO ILLINOIS INDIANA IOWA KANSAS KENTUCKY LOUISIANA MAINE MARYLAND MASSACHUSETTS MICHIGAN MINNESOTA MISSISSIPPI MISSOURI MONTANA NEBRASKA NEVADA NEW HAMPSHIRE NEW JERSEY NEW MEXICO NEW YORK NORTH CAROLINA NORTH DAKOTA OHIO OKLAHOMA OREGON PENNSYLVANIA RHODE ISLAND SOUTH CAROLINA SOUTH DAKOTA TENNESSEE TEXAS UTAH VERMONT VIRGINIA WASHINGTON WEST VIRGINIA WISCONSIN WYOMING Department of Employment, Denver Employment Security Division, Department of Labor, Hartford Employment Security Commission, Wilmington U.S. Employment Service for D. C., Washington 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 Employment Security Division, Department of Labor, Topeka Bureau of Employment Security, Department of Economic Security, Frankfort Division of Employment Security, Department of Labor, Baton Rouge Employment Security Commission, Augusta Department of Employment Security, Baltimore Division of Statistics, Department of Labor and Industries, Boston (Employment). Division of Employment Security, Boston (Turnover). Employment Security Commission, Detroit Department of Employment Security, St. Paul Employment Security Commission, Jackson Division of Employment Security, Jefferson City Unemployment Compensation Commission, Helena Division of Employment, Department of Labor, Lincoln Employment Security Department, Carson City Department <>f Employment Security, Concord Department of Labor and Industry: Bureau of Statisticsand Records (Employment); Division of Employment Security (Turnover), Trenton Employment Security Commission, Albuquerque Research h and d Statistics S i i Office, Division Diii of f Employment, E l State Department of Labor, State Campus Building 12, Albany Division of Statistics, Department of Labor, Raleigh (Employment). Bureau of Employment Security Research, Employment Security Commission, Raleigh (Turnover) Unemployment Compensation Division, Workmen's Compensation Bureau, Bismarck Division of Research and Statistics, Bureau of Unemployment Compensation, Columbus Employment Security Commission, Oklahoma City Department of Employment, Salem Bureau of Employment Security, Department of Labor and Industry, Harrisburg Division of Statistics and Census, Department of Labor, Providence (Employment). Department of Employment Security, Providence (Turnover). Employment Security Commission, Columbia Employment Security Department, Aberdeen Department of Employment Security, Nashville Employment Commission, Austin Department pi Employment Security, Salt Lake City Department of Employment Security, Montpelier Division of Research and Statistics, Department of Labor and Industry, Richmond (Employment). Employment Commission, Richmond (Turnover). Employment Security Department, Olympia Department of Employment Security, Charleston Unemployment Compensation Department, Madison Employment Security Commission, Casper 82602