Return to LMEA homepage The Washington Wage Report

Planning and Economic Development Information
Scott Bailey, Regional Economist

Labor Market and Economic Analysis Branch
Gary Bodeutsch, Director

Washington State Employment Security
Carver Gayton, Commissioner                                                                           October 1999


Introduction/Rationale

Each year, the Employment Security Department publishes the average monthly employment, total payroll, and average annual wage for all jobs covered by unemployment insurance¹. The average wage is available by industry and by county, and is often used to gauge the health of the economy. Like all averages, however, it can conceal as much as it reveals. For example, because the average is not adjusted for part-time workers, changes in the average may be due as much to changes in the average number of hours worked as to changes in the hourly wage. Further, changes in the average give no clue as to how the entire distribution of wages is changing. As is evident from data at the national level, a rising average income has not meant that all income levels have benefited equally.

This study attempts to deal with these two issues by tracking how the distribution of hourly wages has changed over time, specifically the 1990-97 period.


Methodology

The data for the study come from quarterly unemployment insurance reports submitted by all employers in the state to the Employment Security Department. Each record in the database includes the employer’s account number, the social security number of an employee, the number of hours worked by that employee during the quarter, and the total wages earned. Roughly 2.5 to 3.0 million records are in each quarter’s database. Because of the way data is reported, it is impossible to tell definitively whether a worker is seasonal, part-time, or in transition from one job to another or into/out of the labor market.

Each record was assigned the county and industry of the employer. For multi-county and multi-industry employers, an algorithm was developed to assign the county and industry. Unfortunately, there is no way to identify the age, sex, or occupation of the employee. For about 10% of the records, the number of hours worked was not identified; hours worked were estimated using similar records from the same industry. In addition, a small number of workers received room and board along with wages; in the database, they were assigned 1000 hours as a convention. These records were excluded from the analysis.

The average hourly wage for each employee was calculated by dividing total wages by total hours worked in each quarter. The average was adjusted for inflation using the U.S. Chain-Linked Price Deflator for Personal Consumption Expenditures². The cost of living, of course, varies by county.


¹ Most jobs are covered by unemployment insurance.  The major exceptions are the self-employed,  100% commission sales agents (common in insurance and real estate sales), corporate officers,  employees of religious organizations, work-study students, elected officials, and casual labor.

  ² The U.S. Implicit Price Deflator for Personal Consumption Expenditures is similar in nature to the Consumer Price Index (CPI) but is adjusted for changing consumer-purchasing patterns.  Over the past two decades, its annual change has averaged about 0.2 percentage points less than the change in the CPI.

In this case, we’re concerned not with the difference in the cost of living, but the change in the cost of living for the 1990-97 period. That also varied by county, but there is no way of determining which counties had a higher than average inflation rate, and which had a lower than average rate. For those areas where the cost of living increased faster than the U.S. average, wages did not improve as much as this report suggests (or in the case of a decline, were slightly worse than indicated). For those areas where inflation was actually lower than the national average, wages grew faster than this report suggests (or didn’t decline as much).

Using the Consumer Price Index as a basis, it would be a fair assumption that prices increased faster than the U.S. average in the Seattle metro area, and in Clark County. This would mean that wages in these counties did not improve as much as this study suggests. The outcome is less clear for other counties; some rural counties, for example, experienced a run-up in housing prices during the 1990s, while housing prices were relatively slow-growing in others.


Exclusions

The Wage Files include all workers at Washington businesses covered by state unemployment insurance. Workers not included: federal employees, self-employed workers, railroad employees, 100% commission sales workers (such as most real estate agents and insurance agents), most corporate officers, and casual labor. Coverage was largely unchanged between 1990 and 1997, with one exception: workers employed by private households (SIC 88), such as nannies, those providing in-home care for the elderly, domestic servants, etc. Reporting requirements changed for these workers in the mid-1990’s, and as a result their numbers increased dramatically. Comparisons of 1990 and 1997 data in this report exclude this industry.

 
Definitions/How to Measure Wage Distribution

Of all statistical measures, the one most commonly used is the average. It’s a single measure, and is easy to understand. Yet it conceals as much as it reveals. If the richest individual in the world moved next door to you, the average income of your neighborhood would rise substantially—regardless of whether the income of your household or your other neighbors went up or down. To keep tabs on the monetary fate of the "average" person, ironically enough, tracking the average wage just won’t do. To better illustrate the wage trends, this report makes use of several other measures, depending on the question asked.


"How many jobs pay below the proposed new minimum wage?"

How many pay above $10/hour? How many family wage jobs are there? These and similar questions can be answered in a straightforward fashion. Graphs and tables throughout this report will present in detail the number and percent of jobs in various hourly wage categories.


"Have the rich gotten richer? Did the poor become poorer?"

To answer these questions, as well as to follow the fortunes of the "average" wage earner, we need a few more concepts. The median wage is the hourly wage at which half of all jobs pay more and half of all jobs pay less. In the example above about the new rich neighbor, the median income of the neighborhood would change very little if at all.

While the median can tell us about the average job, it doesn’t tell us much about the extremes. To do that, imagine sorting all jobs from top to bottom by wage. The percentile wage is the top hourly wage for a given percentage of jobs. In this report, jobs have been divided into ten groups, or deciles. The 10th percentile wage is the median wage of the bottom ten percent of jobs. The 10th percentile upper limit is the topmost wage of the bottom ten percent of jobs. Similar calculations were made for each decile. The median wage is the same as the upper limit of the 50th percentile.

To calculate whether the poor are getting poorer, or more precisely, if low-wage jobs are paying any more over time, we can compare the 10th percentile wage in different years. To determine whether the gap between high-wage jobs and low-wage jobs is increasing, we can look at three ratios:

  • The 90/10 ratio, numerically, is the 90th percentile wage divided by the 10th percentile wage, and measures the span between top and bottom.
  • The 90/50 ratio measures the gap between the 90th percentile wage and the median wage.
  • The 50/10 ratio similarly measures the gap between the median hourly wage and the 10th percentile wage.

Following these three ratios over time allows a precise measurement of whether hourly wages are becoming more or less widely dispersed.

While percentile wages provide a much more in-depth look at the labor market, they don’t tell us what is happening at the very bottom or very top. On the bottom side, the minimum wage provides a limit. However, there is no ceiling on the hourly wages of the top 10 percent of jobs. To capture the trend of the best-paid jobs, the percent of total payroll for each of the 10 percentile groups will be compared over time.

 


Findings, 1997

1997 Overview

Summary statistics

In 1997, according to published data, covered employment in the state of Washington averaged just over 2.5 million a month, with a total payroll of $77 billion and an average wage of $30,755 per worker. What these averages do not reveal is the dynamic mix of comings and goings, jobs beginning and ending, workers entering and leaving the workforce.

Analyzing the quarterly wages files gives us a chance to get considerable more detail. For example, the mix of full-time and part-time jobs can be converted to a full-time equivalency (FTE) basis of 40 hours per week and 2,080 hours per year. On an FTE basis, there were 1,927,371 jobs. The average workweek per job was 31.5 hours. The average hourly wage was $18.03. [Total wages in the wage files came to $73 billion, $4 billion short of the published total for the state. The difference was due to the absence of federal workers in the state database, and the exclusion of jobs coded to 1000 hours per quarter, which included room and board or other non-wage benefits as part of the working conditions.]

Over 3,000,000 different people worked for employers in the state that year, clocking over 4 billion hours. Some were employed only briefly; others worked full-time, year-round, or more. Those who worked at least 1,560 hours—the equivalent of working 30 hours or more per week, year-round—came to 46% of the total.

TABLE 1. HOURS WORKED BY SSN, 1997

Hours Worked

Number

Percent
of Total

520 or less

771,464

25%

521-1040

436,020

14%

1041-1560

453,388

15%

1561-2080

845,082

27%

2081-2600

524,152

17%

More than 2600

65,386

2%

Total

3,095,492

100%

 

Hourly Earnings

The graph and table below show the percent of all jobs falling in each hourly wage category, which have been grouped by two-dollar increments for ease of presentation. The highest frequency (mode) came at $6 to $8 per hour; 12% of all jobs paid in this range. The percent decreases as the hourly wage increases. For convenience of presentation, hourly wages at the top of the scale have been grouped into three categories: $30 - $40/hour, $40 - $50/hour, and $50/hour and up.

Graph 1. Percent Of Jobs By Hourly Wage, State Total, 1997

TABLE 2. FTE JOBS BY HOURLY WAGE,
STATE TOTAL, 1997

Hourly Wage

Number of
FTE Jobs

Percent of Total

<$8

350,506

18%

$8 - $12

440,457

23%

$12 - $16

358,282

18%

$16 - $24

434,224

22%

$24+

368,521

19%

Total

1,951,991

100%

 

There can be no definitive measure of a "family-wage" or "livable-wage" job. Families come in all ages and sizes, with differing numbers of wage earners and unique material needs. What constitutes a reasonable standard of living is subjective, and the cost of living varies throughout the state. Hourly wages in the database were calculated down to the penny; for presentation purposes, jobs were grouped into five categories:

  • Below $8 per hour
  • Between $8 and $12 per hour
  • Between $12 and $16 per hour
  • Between $16 and $24 per hour
  • $24 per hour and up.

 

Median and Percentile Earnings

Does a rising tide lift all boats? Or, in the case of wages, does an increase in the average wage mean that workers across the board are benefiting? The easiest way to answer this question is to calculate percentile wages. The most commonly-used percentile wage is the median wage: the wage at which half of all jobs pay more, and half pay less. In the analysis that follows, the job pie was divided into ten parts, with the lowest-paying 10% of all jobs falling in the 10th percentile, the median being 50th percentile, and so on.

Percentile earnings are shown in Graph 2. The median wage was $13.96/hour. The 10th percentile wage was $6.68/hour. The highest-paying ten- percent of all jobs paid above the 90th percentile wage of $29.72/hour. One method of measuring wage dispersion is to calculate three ratios: the 90/10 ratio, the 90/50 ratio, and the 50/10 ratio. In 1997, those ratios were 4.20, 2.04, and 2.05. That is, the median wage job paid about twice the 10th percentile job, and about half of the 90th percentile job.

Graph 2. Percentile Wages, 1997


Finally, the wages accruing to each 10th percentile (each decile) were calculated. Out of over $72 billion in wages, 3% were paid to the 10% lowest-hourly wage jobs, 4% to the next decile, while 29% accrued to the highest-paid jobs. Again, corporate officers were not in the database, so the many of the highest-paid positions in the private sector were not part of the analysis.

Graph 3. The Payroll Pie By Decile, 1997


Work Week by Industry

An average workweek can be calculated for each industry based on the number of hours worked for each job. The average will vary by industry according to the number of part-time jobs, the number of short-term jobs, the amount of seasonal work, the amount of turnover, and the amount of overtime in each industry. Table 3 illustrates the range of values.

TABLE 3. AVERAGE WORK WEEK BY INDUSTRY, SELECTED INDUSTRIES

Industry SIC

Hours

Coal Mining 12

43.9

Pipelines 46

42.7

Electronic Components 367

42.1

Aircraft 372

41.6

Motor Vehicles 371

41.2

Paper Products 26

41.1

Computers & Peripherals 357

40.9

Average, all industries  

31.9

Recreation Services 79

23.8

K-12 Public Education  

24.0

Restaurants 58

23.0

Motion Pictures 78

22.6



Hourly Wages by Industry

Wages, of course, vary greatly by industry, due to factors such as occupational makeup, unionization, and size of employer. Graph 4 contrasts wages in the software industry (SIC 737) and the daycare industry (SIC 835). Well over half of all daycare jobs paid under $8/hour; 39% of the jobs in the software industry topped the $30/hour mark.

Graph 4. Percent of Jobs by Hourly Wage, 1997

The hourly wage profile for selected industries are shown next, compared with the state as a whole. Note that the left-hand scale is different for each graph, due to the wide diversity of profiles. The more divergent from the state average, the higher the scale will go, to accommodate higher percentages of high-wage or low-wage jobs, depending upon the industry.  Data for all 99 industries is listed in tables in the appendix.

 

  JOBS BY HOURLY WAGE, 1997 Agricultural Crops (SIC 01) JOBS BY HOURLY WAGE, 1997 Construction (SIC 15-17)
JOBS BY HOURLY WAGE, 1997 Fruit & Vegetable Processing (SIC 203) JOBS BY HOURLY WAGE, 1997 Lumber & Wood Products (SIC 24)
JOBS BY HOURLY WAGE, 1997 Aircraft (SIC 372) JOBS BY HOURLY WAGE, 1997 Truck & Air Transport (SIC 42, 44, 45)
JOBS BY HOURLY WAGE, 1997 Communication (SIC 48) JOBS BY HOURLY WAGE, 1997 Wholesale Trade (SIC 50-51)
JOBS BY HOURLY WAGE, 1997 Restaurants, Bars, Taverns (SIC 58) JOBS BY HOURLY WAGE, 1997 Finance (SIC 60-62, 67)
JOBS BY HOURLY WAGE, 1997 Employment Agencies (SIC 736) JOBS BY HOURLY WAGE, 1997 Software (SIC 737)
JOBS BY HOURLY WAGE, 1997 Health Care (SIC 80) JOBS BY HOURLY WAGE, 1997 Social Services (SIC 83)
JOBS BY HOURLY WAGE, 1997 Engineering & Mgmt. Serv. (SIC 87) JOBS BY HOURLY WAGE, 1997 K-12 Education

 

Median wages for assorted industries are shown in the table below. The average for all jobs was $13.96/hour. Industry medians ranged from $6.28/hour in the motion picture industry (includes theaters and video rental stores) up to $26.81/hour in petroleum refineries.

TABLE 4. MEDIAN HOURLY WAGE,
SELECTED INDUSTRIES, 1997

Industry

SIC

Median

Petroleum

29

$26.81

Software

737

$25.85

Utilities

49

$24.29

Aircraft

372

$24.20

Water Transportation

44

$21.98

Holding Companies

67

$21.20

Heavy Construction

16

$21.09

Paper Products

26

$20.98

Security Brokers

62

$20.33

Aluminum & Nonferrous Metals

333

$20.24

All Industries  

$13.96

Residential Care

836

$8.76

Agricultural Services

07

$8.71

Apparel

23

$8.49

Janitorial Services

734

$8.33

Lodging

70

$7.97

Private Households

88

$7.97

Child Care

835

$7.03

Restaurants

58

$7.00

Crops

01

$6.90

Motion Pictures

78

$6.28

 


Jobs Paying Below $8 Per Hour

Over 350,000 jobs paid below $8/hour in 1997—18% of the total. One out of six of these lower-wage jobs was provided by an eating or drinking establishment—a fast-food or sit-down restaurant, a tavern, or a bar. Another 21% were located in other retail establishments. Almost a third were in service industries, and one out of ten were in agriculture.

The concentration of low-wage jobs varied greatly by industry, as shown in Table 5. Two-thirds of all jobs at crop farms paid below $8/hour. High levels of lower-wage jobs were also present in childcare services, motion picture production and rental, restaurants & drinking establishments, private households, and lodging. Relatively few jobs in the aircraft industry paid a low hourly wage. The same was true for utilities, aluminum, state government, heavy construction, and hospitals.

TABLE 5. CONCENTRATION OF ENTRY-LEVEL
JOBS, 1997, SELECTED INDUSTRIES

INDUSTRY

SIC

# JOBS <$8/HOUR

% JOBS IN INDUSTRY

Crops

01

28,180

69%

Child Care

835

5,617

64%

Motion Pictures

78

3,187

62%

Restaurants

58

59,002

62%

Private Households

88

6,922

55%

Lodging

70

10,269

51%

All Industries  

350,506

18%

Hospitals

806

719

2%

Heavy Construction

16

238

1%

State Government  

1,351

1%

Aluminum

333

80

1%

Utilities

49

185

1%

Aircraft

372

770

1%

 

Jobs Paying $8 to $12 Per Hour

Another 440,000 jobs—almost one-fourth of the total— paid between $8 and $12/hour. Over one-quarter of these (28%) were in service industries, with health care and business services being the major sources. Another one in five was in retail trade, while one out of six was in manufacturing. Again, the concentration varied by industry, as shown in the table below. Industries with at least 40% of their jobs paying in this range included fruit & vegetable processors, residential care, janitorial services, millwork/plywood/structural members, and retail building materials. Low concentrations were found in industries such as aluminum, aircraft, utilities, logging, software, and heavy construction.

TABLE 6. CONCENTRATION OF $8 TO $12/HOUR
JOBS, 1997, SELECTED INDUSTRIES

INDUSTRY

SIC

# JOBS

% JOBS IN INDUSTRY

Fruit & Vegetable Processing

203

5,480

42%

Residential Care

836

4,054

41%

Janitorial Services

734

3,356

40%

Millwork/Plywood

243

3,665

40%

Building Materials

52

6,859

40%

Apparel

23

2,790

38%

All Industries  

440,458

23%

Heavy Construction

16

1,290

8%

Software

737

2,741

7%

Logging

241

421

7%

Utilities

49

920

6%

Aircraft

372

4,716

4%

Aluminum

333

129

2%

 

Jobs Paying From $12 to $16 per hour

Almost 360,000 jobs paid between $12 and $16/hour in1997. This pay range accounted for 18% of all jobs. The differences between industries were less pronounced than with the lower wage levels.

 

Summary

In 1997, over 1.1 million jobs in the state paid below $16/hour. This amounted to 59% of all jobs on a full-time equivalent basis. There were a number of industries in which fewer than 10% of their jobs met this wage standard.

TABLE 7. CONCENTRATION OF JOBS PAYING BELOW $16/HOUR, 1997, SELECTED INDUSTRIES

INDUSTRY

SIC

# JOBS

% JOBS IN INDUSTRY

Private Households

88

12,390

98%

Crops

01

39,426

96%

Child Care

835

8,350

96%

Restaurants

58

89,770

95%

Janitorial Services

734

7,800

93%

Livestock

02

4,413

92%

Lodging

70

18,493

91%

Apparel

23

6,622

91%

Residential Care

836

9,004

90%

All Industries  

1,149,245

59%

 

Higher-Wage Jobs: $16 to $24 per hour

Looking on the more positive side, 790,000 jobs-- 41% of the total—paid more than $16/hour in 1997. A bit more than half of these (430,000) paid between $16 and $24 per hour. Industries with 40% or more of their jobs falling into this range are shown below.

TABLE 8. CONCENTRATION OF $16 - $24/HOUR
JOBS, 1997, SELECTED INDUSTRIES

INDUSTRY

SIC

# JOBS

% JOBS IN INDUSTRY

Aluminum

333

3,452

57%

Heavy Construction

16

7,574

46%

Logging

241

2,657

45%

Pipelines

46

47

44%

Mining

10-14

1,474

44%

State Government—
   Non-Education
 

25,030

43%

Ships/Boats Building/Repair

373

2,700

42%

Local Government—
   Non-Education
 

39,615

40%

All Industries  

434,224

22%

 

Higher-Wage Jobs: $24 per hour and up

Over 360,000 jobs—19% of the total—met the "high-wage" standard in 1997. A handful of industries accounted for than half of these jobs. The most important industry, not surprisingly, was aircraft, which contributed 15% of all high-wage jobs in the state. Next came local government (county, city and other public agencies, along with K-12 education), also with 15% of the total. Transportation & utilities, wholesale trade, health care, and construction each chipped in 7% of all high-wage jobs.

TABLE 9. WHERE THE $24+ PER HOUR JOBS WERE, 1997

Industry

SIC

# High-Wage Jobs

% JOBS IN INDUSTRY

Petroleum

29

1,225

62%

Software

737

21,169

55%

Utilities

49

7,320

51%

Aircraft

372

55,612

51%

Pipelines

46

51

47%

Metals

10

206

45%

Water Transportation

44

3,838

45%

Security Brokers

62

2,662

43%

All Industries  

434,224

19%

 

Differences by County

The state of Washington has a remarkably diverse array of economies at the regional and county level. The political conversation about the "other Washington" has long contrasted the east and the west sides of the state. But the fractures are much more complex than that. Clark, Whatcom, and Yakima, for example, are all metropolitan counties, with distinct economies, as different from each other as they are from Seattle.

It’s no surprise, then, that there are wide differences in wage distribution at the county level. For example, the 10th percentile threshold wage varied from a low of $5.53 in Okanogan County to a high of $7.47 in King County. Only five counties had a higher hourly wage than the state average of $6.68. The gap increased at the median, where Snohomish County had the high of $15.76 and Okanogan the low of $8.84. At the 90th percentile, Benton County posted the top mark $33.16, while Okanogan again had the lowest percentile wage at $18.77.

The dispersion of wages, measured by the 90/10 ratio, also varied widely. Benton County, which had the highest 90th percentile wage, had a 90/10 ratio of 5.51. In the San Juans, meanwhile, the ratio was only 3.14.

TABLE 10. MEDIAN HOURLY WAGE BY COUNTY, 1997

County

Median Wage

Rank

Dispersion (90/10 ratio)

Adams

$9.53

38

3.42

Asotin

$10.73

31

3.95

Benton

$14.69

3

5.51

Chelan

$10.48

32

3.86

Clallam

$12.63

15

4.01

Clark

$13.20

9

4.32

Columbia

$10.01

35

3.58

Cowlitz

$14.06

6

4.65

Douglas

$9.83

37

3.64

Ferry

$12.76

14

3.84

Franklin

$10.46

33

3.89

Garfield

$11.94

23

3.65

Grant

$10.16

34

3.84

Grays Harbor

$13.36

7

4.14

Island

$11.38

27

3.99

Jefferson

$12.36

19

3.71

King

$15.52

2

4.38

Kitsap

$12.03

22

4.16

Kittitas

$11.12

28

3.77

Klickitat

$12.84

11

4.03

Lewis

$12.37

18

4.07

Lincoln

$10.95

29

3.42

Mason

$12.83

12

3.74

Okanogan

$8.84

39

3.39

Pacific

$11.63

25

3.66

Pend Oreille

$12.79

13

4.84

Pierce

$13.14

10

4.26

San Juan

$12.04

21

3.14

Skagit

$11.93

24

4.26

Skamania

$11.47

26

3.51

Snohomish

$15.76

1

4.24

Spokane

$12.46

16

4.24

STATE AVERAGE

$13.96

 

4.45

Stevens

$12.44

17

3.81

Thurston

$14.49

4

3.92

Wahkiakum

$14.37

5

3.73

Walla Walla

$10.91

30

3.91

Whatcom

$12.21

20

4.16

Whitman

$13.27

8

4.33

Yakima

$9.85

36

3.71

 

Differences by Size of Employer

The larger the employer, the higher the average wage, and this holds true throughout the entire distribution of hourly wages. For this study, employers were classified into eight categories based on their average employment in 1997. The accompanying table compares the percent of jobs in each size class paying in each broad hourly wages category. More than 55% of jobs at the smallest employers paid below $12/hour, while only 27% of the jobs in the largest size class failed to meet this threshold. Conversely, 11% of the jobs at small employers paid above $24/hour, versus 28% at the largest employers.

TABLE 11. HOURLY WAGE BY SIZE OF EMPLOYER, 1997

Size of Employer

Hourly Wage

<$8

$8 - $12

$12 - $16

$16 - $24

$24+

Total

< 9 employees

27.1%

28.2%

18.3%

15.5%

10.9%

100.0%

10 - 19

25.6%

25.9%

18.5%

18.3%

11.7%

100.0%

20 - 49

23.7%

25.6%

18.1%

19.4%

13.1%

100.0%

50 - 99

20.4%

25.5%

18.3%

21.0%

14.8%

100.0%

100 - 249

19.7%

25.7%

18.0%

21.1%

15.4%

100.0%

250 - 499

16.1%

24.2%

19.1%

22.1%

18.4%

100.0%

500 - 999

16.0%

22.8%

18.5%

23.9%

18.8%

100.0%

1,000+

10.6%

16.3%

18.3%

26.9%

27.9%

100.0%

 

New Entrants to the Labor Force

Out of the 3 million different people who worked for a Washington employer in 1997, over 430,000 (about 14%) could be classified as new entrants—they did not appear in the 1990, 1995, or 1996 databases. They accounted for 92,600 FTE jobs through the year (about 5%). These new entrants might be:

  1. People of any age, but most likely young adults, entering the workforce for the first time.
  2. People re-entering the workforce after a long absence.
  3. People who re-located to the state during 1997.
  4. People who worked temporarily in the state during the year.

The hourly wages of these new entrants tended to be far below the average. While 18% of all jobs paid below $8/hour, 44% of the jobs held by new entrants were in this range. The median wage was $8.72/hour. Only about half as many of the jobs held by new entrants paid above $16/hour as for all jobs (23% vs. 41%).

The industry profile of new entrants differed from the profile for all jobs in several ways. Compared with the average worker, new entrants were much more likely to be found in agriculture, restaurants, temp agencies, and video rental stores; they were relatively scarce in manufacturing (especially aircraft, paper products, and aluminum), private utilities, banking, hospitals, state government, and local government.

Graph 5. Hourly Earnings of New Entrants, 1997

 


Findings, 1990-97

1990 Overview

In 1990 there were about 2.1 million jobs covered by unemployment insurance in the state of Washington, with a total payroll of $48.5 billion and an average wage of $22,635 ($27,456 adjusted to 1997 dollars). The state economy was in near-peak condition, with job growth at almost 5% over the year.

 

Hourly Earnings

When compared with 1990, 1997 hourly earnings show a distinct improvement. There were fewer jobs at lower wage levels (up through $14/hour), and more jobs at higher wages ($24 and up). During this period, the effective minimum wage rose from $4.25 in 1990 to $5.15 in the fourth quarter of 1997—almost no change after adjustment for inflation.

TABLE 12. JOBS BY HOURLY EARNINGS: 1990-97

Hourly Earnings

1990 FTE Jobs

Percent
of Total

1997 FTE Jobs

Percent
of Total

<$8

287,389

18.6%

343,584

17.7%

$8 - $12

365,498

23.6%

435,716

22.5%

$12 - $16

283,078

18.3%

357,556

18.4%

$16 - $24

364,252

23.5%

433,999

22.4%

$24+

246,904

16.0%

368,456

19.0%

Total

1,547,122

100.0%

1,939,310

100.0%

 

Percentile/Median Earnings/Upper 10%

Earnings at the top of each of the ten deciles are shown in the accompanying table. The data show that, while earnings increased at each decile, the increase was greater in both absolute and percentage terms at higher wages.

TABLE 13. CHANGES IN DECILE EARNINGS, 1990-97

Percentile

1990

1997

Change

Growth

10th

$6.59

$6.68

$0.09

1%

20th

8.24

8.30

0.06

1%

30th

9.89

10.01

0.12

1%

40th

11.62

11.90

0.28

2%

Median

13.54

13.96

0.42

3%

60th

15.88

16.29

0.41

3%

70th

18.66

19.29

0.63

3%

80th

22.17

23.43

1.26

6%

90th

27.67

29.72

2.05

7%

 

Another way of expressing this dispersion is to compare the 90/10, 90/50, and 50/10 ratios in each year. Each increased slightly, with the 90/50 spread edging up by 4% and the 50/10 spread up by 2%. In other words, while the labor market as a whole moved up the wage scale, inequality increased.

The 90/10 ratio is limited in measuring inequality because it does not capture the fortunes of the top 10% of jobs. One way of overcoming this handicap is to look at the percent of total payroll accruing to the upper tenth of jobs. In 1990, the upper tenth earned 26% of the total payroll pie; by 1997, their share had increased to 29%. Meanwhile, the bottom 10% of jobs faced a slight decline in share from 3.48% to 3.15%. The share of the total payroll pie falling to each decile fell roughly three- to five-tenths of a point, with the exception of the upper tenth.

TABLE 14. SPLITTING UP THE PAYROLL PIE: PERCENT OF TOTAL PAYROLL PAID TO TOP 10% OF JOBS VS. LOWER-PAYING JOBS

Decile

1990

1997

Top 10% of Jobs

26.5

29.9

Next 10% (2nd Decile)

14.8

14.6

3rd Decile

12.3

11.8

4th Decile

10.3

9.8

5th Decile

8.8

8.4

6th Decile

7.5

7.2

7th Decile

6.5

6.1

8th Decile

5.5

5.1

9th Decile

4.5

4.2

Bottom 10%

3.4

3.0

 

Hours Worked

No, it’s not just your imagination: you’re working more hours. At least, that hypothesis is not contradicted by this study. In 1997, the percentage of workers who toiled more than 2,080 hours—more than 40 hours per week—reached 19%. In comparison, only 13% of workers breached the full-time year-round threshold in 1990. This finding is in line with national studies showing a substantial increase in hours worked outside the home since 1960. Reasons for the increase range from financial need due to wage stagnation to financial want, in terms of yearning for a higher material standard of living. Another factor may come from the employer side, as managers find it less expensive to increase overtime rather than to hire, train, and pay benefits for new employees.

TABLE 15. HOURS WORKED BY SSN, 1990 VS. 1997

Hours Worked

Number

Percent
of Total

Vs. 1997

520 or less

722,632

27%

25%

521-1,040

387,338

14%

14%

1,041-1,560

384,577

14%

15%

1,561-2,080

827,702

31%

27%

2,081-2,600

319,949

12%

17%

More than 2,600

32,886

1%

2%

Total

2,675,084

100%

100%

 

Industry Trends

Of 99 different industries analyzed, over half enjoyed improved earnings at every decile level. Two-thirds had widening inequality, as measured by the 90/10 ratio; in the most extreme example, the security brokerage industry (SIC 62), earnings at the 10th percentile rose by a dollar, while those at the 90th percentile jumped by over $26. Eighteen industries had increased earnings at the 90th percentile and a decrease at the 10th percentile, while six had the opposite trend. The software industry had the largest increase in median earnings (+ $7.18).

In the following sections, hourly wage trends in sixteen industries of interest are examined.


Aircraft

To state the obvious: the aircraft industry is very cyclical. In both 1990 and 1997, the aircraft industry (SIC 372) was at or near peak employment, so the comparison of wages is valid. In 1990, the industry employed 116,200 workers; in 1997, the average was slightly lower at 114,900. However, on an FTE basis, 1997 was slightly higher, indicating a longer workweek, and indeed, according to published reports, Boeing was paying a lot of overtime hours that year due to a rapid increase in orders.

Graph 6.  Aircraft Industry (SIC 372)
Percent of employment By Hourly Wage
Graph 6. Aircraft Industry (SIC 372)

The graph above shows a substantial positive shift in hourly earnings during the decade. Industry wages, already relatively high, climbed even higher. The percent of all jobs paying $16 to $24/hour fell from 43% to 32%; meanwhile, those paying $24 to $40/hour rose from 33% to 46%. The high wages and the positive shift can be attributed to the highly-skilled workforce, a high degree of unionization, a high level of profits, and the relative scarcity of labor during peak years. All helped to boost wages and promote overtime.

 

Agriculture—Farm Crops

In 1990, employment covered by unemployment insurance at farms in the state was just under 54,000. In 1997, the total was slightly higher at 57,000. On an FTE basis, however, there was a much more pronounced change—from 31,000 to 41,000. Jobs in the industry (SIC 01), which are highly seasonal, were lasting longer.

Graph 7.  Farm Crops (SIC 01)
Percent of Employment By Hourly Wage
graph07.gif

Most of the additional hours worked were at low wages, however, and as a result, the overall wage distribution worsened. The proportion of jobs paying between $4 and $6/hour increased from 25% in 1990 to 28% in 1997. From the percentile point of view, wages at each decile declined.


Agriculture—Fruit & Vegetable Processing

Covered employment in fruit and vegetable processing was a bit over 13,000 in both 1990 and 1997, but as in the crop side of the business, jobs lasted longer; FTE employment rose 14%. Wages declined slightly for the bottom 20% of jobs, but improved modestly above that. The spread between the 10th percentile wage and the 90th percentile wage increased by 7%.

Graph 8.  Fruit & Vegetable Processing (SIC 203)
Percent of Employment By Hourly Wage

graph08.gif

 

Lumber & Wood Products

Covered employment in lumber & wood products fell 12% from 1990 to 1997; on an FTE basis, however, the decline was only 5%. Logging employment was hit the hardest, but the number of sawmill and secondary wood product jobs also fell.

Between 1990 and 1997, the wage structure of the industry shifted substantially. The percent of jobs paying between $10/hour and $24/hour fell from 72% to 68%, while the share of low-wage jobs and high-wage jobs each gained about 2 percentage points. The loss in logging—the highest-paying sector of the industry—and a downward shift in sawmill and millwork/plywood wages were to blame.

Graph 9a.  Lumber & Wood Products (SIC 24)
Percent of Employment By Hourly Wage

graph09a.gif

 

Construction

Covered employment in construction grew by 14% during the study period, from 112,000 to 128,000. On an FTE basis, the gain was 23%. Construction workers enjoyed a generally positive shift in wages, with fewer jobs paying below $12/hour, roughly the same percentage in the $12 to $24/hour range, and an increase in the number and percent of jobs in the upper end.

Graph 9b.  Construction (SIC 15-17)
Percent of Employment By Hourly Wage

graph09b.gif

 

Trucking/Warehousing, Water and Air Transportation

Due to a shift in industry classification of a major employer between 1990 and 1997, these industries were combined. Employment trends were similar to the construction industry: a 14% increase in covered employment, but a 23% jump in FTE employment. Taken together, these industries suffered a mild decline in hourly wages, with a falloff in the percent of jobs paying more than $20/hour and faster growth in lower-wage jobs, especially in the $8 to $10/hour range. Water transportation actually had a fairly stable wage profile, with a slightly positive trend. Both trucking and air transportation shifted downward, however.

Graph 10.  Truck/Water/Air Transport (SIC 43/44/45)
Percent of Employment By Hourly Wage

graph10.gif

 

Telecommunications

Telecommunications (SIC 48) has been one of the most dynamic industries of late, with employment cutbacks related to local phone service, and rapid growth in segments such as fiber optic carriers and cellular phone service. Overall, covered employment rose 27% to 29,000 jobs in 1997; FTE employment climbed even faster, at 41%.

The industry in 1997 has significantly fewer jobs paying below $10/hour. However, wages sagged somewhat in the mid-levels; hourly wages declined for the 20th through 70th percentiles. The 90th percentile wage rose by 5%.

Graph 11.  Telecommunication (SIC 48)
Percent of Employment By Hourly Wage

graph11.gif

 

Wholesale Trade

The wholesale trade industry added over 20,000 jobs between 1990 and 1997, an increase of 18%, reaching a total of 146,000. FTE employment grew by 25%. The wage profile shows an across-the-board improvement over the study period. Percentile wages rose from 1% to 2%, except at the upper ends: the 90th percentile wage was 9% higher in 1990 than in 1997. Thus the disparity between low-wages jobs and high-wage jobs grew substantially.

Graph 12.  Wholesale Trade (SIC 50-51)
Percent of Employment By Hourly Wage

graph12.gif

 

Eating & Drinking Establishments

Restaurants, taverns, and bars averaged over 140,000 jobs in 1990, and expanded to 165,000 jobs in 1997. Because of the part-time nature of much of the work, FTE employment was only 75,000 in 1990 and 95,000 in 1997. Hourly wages reported here do not include tips. With the exception of all but the lowest 10 percent of jobs, the industry paid slightly higher wages in 1997, with the median hourly wage increasing by a dime.

Graph 13.   Restaurants/Taverns/bars (SIC 58)
Percent of Employment By Hourly Wage

graph13.gif

 

Finance

The finance industry—banks, credit unions, security brokers, and holding companies—grew slowly during the first seven years of the decade, due to an almost continuous wave of mergers, cost-cutting, and automation. Covered employment increased only 7% to 54,000 in 1997. The net effect, however, had a salutary effect on wages: there was a substantial drop in the share of jobs paying below $14/hour, and an increase in every wage range above that threshold. The improvement held for every segment of the industry. While wages improved across the board, gains were larger the higher the salary. Tenth percentile hourly wages rose by 6%, the median hourly wage by 14%, and the 90th percentile wage by 23%.

Graph 14.  Finance (SIC 60, 61, 62 & 67)
Percent of Employment By Hourly Wage

graph14.gif

 

Personnel Agencies

Employment at personnel agencies grew by 70% from 1990 to 1997 to a total of 46,000. At the same time, "temp" agencies became less temporary—FTE employment expanded at double that rate. While still primarily a supplier of lower-skill occupations, the industry has been adding more technical staff. Hourly wages went up across the board from 1990 to 1997. Much of the increase at the lower end reflects the tight labor market in Seattle in 1997—temp agencies are prime indicators of the market minimum wage.

Graph 15.  Personnel Supply Agencies (SIC 736)
Percent of Employment By Hourly Wage

graph15.gif

 

Software

Software has been the fastest-growing industry in the state during the 1990’s, and is one of the highest-paying as well. Covered employment rose from 15,000 in 1990 to 40,000 in 1997. Hourly wages moved substantially upward during this period. The percent of industry jobs paying below $16/hour dropped almost in half from 39% to 20%. The median hourly wage rose by more than $7/hour, almost reaching $26/hour. Wages were boosted by strong demand for industry products and services, stock options, and a shortage of professional and technical labor.

Graph 16.  Software (SIC 737)
Percent of Employment By Hourly Wage

graph16.gif

 

Health Care

Covered employment in health care grew by 46%, from 145,000 in 1990 to 174,000 in 1997. FTE employment rose at a slightly higher rate. Hourly wages in the industry underwent a substantial shift upward; the share of jobs paying below $12/hour fell from 45% to 37%. The percent of jobs falling in the high-wage category of $24+/hour climbed from 9% to 15%.

Graph 17.  Health Care (SIC 80)
Percent of Employment By Hourly Wage

graph17.gif

 

Social Services

The fast-growing social services industry includes agencies assisting individuals and families, providing job training services, childcare services, and residential care. The industry median wage of $8.81/hour was one of the lowest; childcare ($7.03) paid especially low wages. The industry saw some improvement at the lower end, as relatively tighter labor markets in 1997 pushed up the market minimum wage.

Graph 18.  Social Services (SIC 83)
Percent of Employment By Hourly Wage

graph18.gif

 

Engineering & Management Services

In contrast to social services, many jobs in engineering & management services require bachelor’s or professional degrees, including engineers, architects, accountants, management consultants, and researchers at commercial laboratories. High demand for these services from corporate customers helped boost wages in this industry. Fifty-five percent of the net new jobs created between 1990 and 1997 were in the $24+/hour range, and another 30% paid between $16 and $24/hour.

Graph 19.  Engineering & Management Services
(SIC 87)

Percent of Employment By Hourly Wage

graph19.gif

 

K-12 Public Education

Public schools employ teachers, administrators, and a range of support staff. In comparison with some industries, public education’s wage profile changed little from 1990 to 1997.

Graph 20.  K-12 Public Education
Percent of Employment By Hourly Wage

graph20.gif

 

Jobs Paying Below $8 Per Hour

The number of jobs paying below $8 per hour increased by 56,000 between 1990 and 1997; however, their share of total jobs fell from 19% to 18%. Net new low-wage jobs were concentrated in a few industries, as shown in the table below.

TABLE 16. NET NEW ENTRY-LEVEL JOBS, 1990-97,
BY INDUSTRY

Industry

Net New Jobs

Percent of Total

Restaurants

10,214

18%

Other Retail

8,900

16%

Crops

7,011

12%

Social Services

6,375

11%

Temp Agencies

4,974

9%

Recreational Services

3,153

6%

Other

15,567

28%

Total

56,194

100%

 

Jobs Paying $8 to $12 Per Hour

Over 70,000 net new jobs between 1990 and 1997 fell into the $8 to $12/hour range. However, the overall share of these jobs fell from 24% to 23% of the total. New jobs in this wage range were fairly evenly dispersed across industries, as shown in the table below, with a few exceptions. Manufacturing had proportionately more jobs in this wage range: while 6% of all net new jobs were in manufacturing, 12% of all net new jobs paying between $8 and $12 per hour were in factories. The same was true of retail trade. Finance and government had proportionately less net new jobs in this range, while state government actually had fewer jobs in this range.

TABLE 17. NET NEW JOBS PAYING $8 TO $12 PER HOUR,
1990-97, BY MAJOR SECTOR

Sector

Percent of Net New Jobs $8 - $12/Hour

Percent of All Net New Jobs

Ag, Forestry, Fishing

6%

4%

Mining

0%

0%

Construction

2%

5%

Manufacturing

12%

6%

Transportation & Utilities

8%

7%

Wholesale Trade

9%

7%

Retail Trade

23%

16%

Finance/Ins./Real Estate

-1%

4%

Services

40%

36%

State Government

-6%

4%

Local Government

6%

12%

Total

100%

100%

 

Jobs Paying Between $12 and $16 per hour

Almost 75,000 net new jobs were added in the $12 to $16/hour pay range. In 1990 and 1997, jobs in this range made up 18% of the total. Again, net new jobs were fairly evenly spread across sectors. There were relatively few of these jobs created in farming, and somewhat fewer in services and local government, and proportionately more in manufacturing and state government.

TABLE 18. NET NEW JOBS PAYING $12 TO $16 PER HOUR, 1990-97, BY MAJOR SECTOR

Sector

Percent of
Net New Jobs
$12 - $16/Hour

Percent of All
Net New Jobs

Ag, Forestry, Fishing

1%

4%

Mining

0%

0%

Construction

5%

5%

Manufacturing

10%

6%

Transportation & Utilities

6%

7%

Wholesale Trade

8%

7%

Retail Trade

17%

16%

Finance/Ins./Real Estate

5%

4%

Services

32%

36%

State Government

8%

4%

Local Government

7%

12%

Total

100%

100%

 

Jobs Paying $16 to $24 per hour

Almost 70,000 net new jobs were added in the $16 to $24/hour range, which suffered a small decline as a share of overall jobs. The industry detail reveals some remarkable trends. Most notably, the wage structure of the aircraft industry went through a dramatic shift, with a sharp drop in the number of jobs paying in this wage range, and (as will be seen in the next section), a concomitant rise in the number of high-wage jobs. Secondly, while the public sector generated 16% of all net new jobs over the seven-year span, some 38% of the net new jobs in this category were in state or local government.

TABLE 19. NET NEW JOBS PAYING $16 TO $24 PER HOUR, 1990-97, BY MAJOR SECTOR

Sector

Percent of
Net New Jobs
$16 - $24/Hour

Percent of All
Net New Jobs

Ag, Forestry, Fishing

1%

4%

Mining

0%

0%

Construction

9%

5%

Manufacturing

-19%

6%

Aircraft

-21%

-2%

Other Manufacturing

2%

7%

Transportation & Utilities

9%

7%

Wholesale Trade

7%

7%

Retail Trade

12%

16%

Finance/Ins./Real Estate

8%

4%

Services

35%

36%

State Government

13%

4%

Local Government

25%

12%

Total

100%

100%

 

High-Wage Jobs

Over 120,000 net new jobs created between 1990 and 1997 paid above $24 per hour. The percent of all jobs in the high-wage category increased from 16% to 19%. Industry detail shown in the table below confirms the importance of software and aircraft in the provision of high-wage jobs. Local government, health care, and engineering and management services also played crucial roles.

TABLE 20. NET NEW HIGH-WAGE JOBS, 1990-97,
BY MAJOR SECTOR

Sector

Percent of
Net New Jobs
Paying $24+/Hour

Percent of All
Net New Jobs

Ag, Forestry, Fishing

0%

4%

Mining

0%

0%

Construction

6%

5%

Manufacturing

13%

6%

Aircraft

9%

-2%

Other Manufacturing

4%

7%

Transportation & Utilities

7%

7%

Wholesale Trade

6%

7%

Retail Trade

5%

16%

Finance/Ins./Real Estate

6%

4%

Services

37%

36%

Software

14%

6%

Health Care

10%

6%

Engineering/Management

5%

3%

Other Services

8%

21%

State Government

4%

4%

Local Government

16%

12%

Total

100%

100%

 

County Trends

Wage trends between 1990 and 1997 varied widely by county. Looking at the median wage, ten counties suffered a decline in hourly earnings, with Benton County having the sharpest drop at -$0.68/hour. Eight had increases of less than a quarter, eight between a quarter and fifty cents, ten improved between fifty cents and a dollar per hour, and three enjoyed larger increases, led by Garfield County at +$2.10/hour.

TABLE 21. CHANGES IN MEDIAN HOURLY WAGE,
1990-97, BY COUNTY

County

1990 Median

1997 Median

Change

Adams

$9.39

$9.53

0.14

Asotin

$9.81

$10.73

0.92

Benton

$15.38

$14.69

-0.69

Chelan

$10.16

$10.48

0.32

Clallam

$12.59

$12.63

0.04

Clark

$12.30

$13.20

0.90

Columbia

$8.22

$10.01

1.79

Cowlitz

$14.53

$14.06

-0.47

Douglas

$8.96

$9.83

0.87

Ferry

$13.29

$12.76

-0.53

Franklin

$9.82

$10.46

0.64

Garfield

$9.84

$11.94

2.10

Grant

$10.38

$10.16

-0.22

Grays Harbor

$13.62

$13.36

-0.26

Island

$10.63

$11.38

0.75

Jefferson

$11.99

$12.36

0.37

King

$15.08

$15.52

0.44

Kitsap

$11.57

$12.03

0.46

Kittitas

$10.89

$11.12

0.23

Klickitat

$13.11

$12.84

-0.27

Lewis

$12.41

$12.37

-0.04

Lincoln

$10.91

$10.95

0.04

Mason

$12.92

$12.83

-0.09

Okanogan

$9.07

$8.84

-0.23

Pacific

$11.21

$11.63

0.42

Pend Oreille

$12.93

$12.79

-0.14

Pierce

$12.69

$13.14

0.45

San Juan

$11.08

$12.04

0.96

Skagit

$11.50

$11.93

0.43

Skamania

$11.43

$11.47

0.04

Snohomish

$14.71

$15.76

1.05

Spokane

$12.11

$12.46

0.35

STATE TOTAL

$13.54

$13.96

0.42

Stevens

$12.40

$12.44

0.04

Thurston

$13.63

$14.49

0.86

Wahkiakum

$13.52

$14.37

0.85

Walla Walla

$10.28

$10.91

0.63

Whatcom

$12.00

$12.21

0.21

Whitman

$12.46

$13.27

0.81

Yakima

$9.72

$9.85

0.13


At the 90th percentile, hourly earnings declined in three counties, while twenty-six counties had increases of more than a dollar an hour. At the 10th percentile, eight counties eased downward, mostly by a dime or less, twenty-one inched up by a quarter an hour or less, and ten counties had larger increases.

Twenty-nine counties had increasing wage inequality, as measured by the 90/10 ratio; most spreads grew by five percent or less. Seven counties became more egalitarian.

 

Individual Trends

Of the 2.7 million individuals who worked in the state at some point in 1990, 1.8 million also worked in the state in 1995, and 1.7 million also worked in 1997. In analyzing their earnings over time, a distinction will be made between "full-time" workers and other workers. For the purposes of this report, workers logging at least 1,560 hours per year—the equivalent of working 40 hours per week for three-fourths of the year, or a 30-hour workweek year-round—will be considered full-time.

About 750,000 individuals worked full-time in both 1990 and 1995. Just over 700,000 workers met the same condition in both 1990 and 1997, while nearly a million worked at least half-time (1,040 hours) in both years. Over 600,000 worked full-time in the state all three years.

TABLE 22. STATUS OF WORKERS, 1990, 1995, 1997

 

1990 Status

1995
Status
1997
Status

Full-Time

Part-Time

   Not in
   Database

Total

Full-Time Full-Time

617,851

211,591

177,841

1,007,283

Part-Time

92,698

69,272

59,352

221,322

Not In Database

34,296

19,838

35,305

89,439

Total

744,845

300,701

272,498

1,318,044

Part-Time Full-Time

74,357

100,656

135,618

310,631

Part-Time

89,321

286,797

357,946

734,064

Not In Database

63,421

114,708

370,304

548,433

Total

227,099

502,161

863,868

1,593,128

Not In Database Full-Time

10,950

16,948

93,659

121,557

Part-Time

22,688

74,168

601,251

698,107

Not In Database

178,953

579,709

 

758,662

Total

212,591

670,825

694,910

1,578,326

Total Full-Time

703,158

329,195

407,118

1,439,471

Part-Time

204,707

430,237

1,018,549

1,653,493

Not In Database

276,670

714,255

405,609

1,396,534

Total

1,184,535

1,473,687

1,831,276

4,489,498

"Not in Database" could mean the individual wasn’t employed, was employed in another state, or was employed in a job not covered by state unemployment insurance.


Most of these workers earned a higher hourly wage in 1997 than in 1990, but as shown in Table 23, about one in four suffered a drop in hourly earnings. The results are very similar for full-time workers, with slightly more enjoying a raise and fewer a decline. Graph 22 illustrates the curve for all full-time workers, with each data point a quarter-dollar increment. For example, about 2.9% of all workers gained between $1.25 and $1.50 in hourly wages.

TABLE 23. CHANGE IN EARNINGS, BY INDIVIDUAL WORKER, 1990-1997

Change in Earnings

All Workers

"Full-Time" Workers

Gain of more than $5/hour

21.9%

21.5%

Gain of $5 - $6/hour

5.5%

6.1%

Gain of $4 - $5/hour

6.8%

7.6%

Gain of $3 - $4/hour

8.1%

9.2%

Gain of $2 - $3/hour

9.5%

10.6%

Gain of $1 - $2/hour

10.6%

11.3%

Gain of less than $1/hour

10.6%

10.6%

Loss of less than $1/hour

8.0%

7.6%

Loss of $1 - $2/hour

5.0%

4.7%

Loss of $2 - $3/hour

3.3%

3.0%

Loss of $3 - $4/hour

2.3%

2.0%

Loss of $4 - $5/hour

1.7%

1.4%

Loss of $5 - $6/hour

1.2%

1.0%

Loss of $6/hour or more

5.4%

3.4%

 

Graph 21.   Hourly Wage Increase For Full-Time
Workers, 1990-97

Percent of Employment By Wage Increase

graph21.gif

Table 24 compares all workers with those who earned below $8/hour in 1990. Those earning low wages did somewhat better than the general labor force, in part because there was so little downside potential. However, the improvement was generally not enough to boost their wages above $10/hour.

TABLE 24. CHANGE IN EARNINGS, BY INDIVIDUAL WORKER,
1990-1997

 

Change in Earnings

All Workers

All Workers
Earnings Below
$8/hr in 1990

"Full-Time"
Workers Earnings
Below $8/hr in 1990

Gain of more than $5/hour

21.9%

23.1%

20.1%

Gain of $5 - $6/hour

5.5%

6.2%

6.7%

Gain of $4 - $5/hour

6.8%

8.0%

9.0%

Gain of $3 - $4/hour

8.1%

9.7%

11.3%

Gain of $2 - $3/hour

9.5%

11.8%

13.4%

Gain of $1 - $2/hour

10.6%

13.5%

15.3%

Gain of less than $1/hour

10.6%

13.9%

14.3%

Loss of less than $1/hour

8.0%

9.1%

7.5%

Loss of $1 - $2/hour

5.0%

3.4%

1.9%

Loss of $2 - $3/hour

3.3%

0.9%

0.3%

Loss of $3 - $4/hour

2.3%

0.1%

0.1%

Loss of $4 - $5/hour

1.7%

0.1%

0.0%

Loss of $5 - $6/hour

1.2%

0.0%

0.0%

Loss of $6/hour or more

5.4%

0.0%

0.0%


Table 25 shows that for full-time workers earning below $7/hour in 1990, 19% were still earning below $7/hour in 1997, 35% fell below the $8/hour threshold, 79% did not reach $12/hour, and only 6% topped $16/hour. The results were a bit better for workers making somewhat higher wages, but not greatly. In fact, there were a lot of similarities in the wage progressions for different starting wages. As the starting wage rose, the curve flattened on the wage gain side, and widened on the wage loss side. This is illustrated in Graph 22, which compares the wage gains for two sets of workers, one starting between $7 and $8 per hour, and the other earning between $15 and $16 per hour in 1990.

TABLE 25. WAGE PROGRESSION
FOR LOW-WAGE FULL-TIME WORKERS

Hourly Wage, 1997

Hourly Wage, 1990

$6 - $7

$7 - $8

$8 - $9

$9 - $10

< $7

19%

7%

3%

2%

$7 - $8

16%

11%

6%

3%

$8 - $9

14%

15%

10%

6%

$9 - $10

12%

14%

13%

10%

$10 - $11

10%

12%

14%

13%

$11 - $12

8%

10%

12%

14%

$12 - $13

5%

8%

10%

13%

$13 - $14

4%

6%

8%

10%

$14 - $15

4%

4%

6%

8%

$15 - $16

3%

4%

5%

6%

$16+

6%

9%

13%

17%

Total

100%

100%

100%

100%

Median Wage

$9.09

$10.26

$11.34

$12.33

 

Graph 22.   Hourly Wage Increase For Full-Time
Workers, Selected 1990 Wage, 1990-97

Percent of Employment By Wage Increase
graph22.gif

Further research on factors affecting wage progression such as age, sex, and completion of an edu- cational or training program will certainly be of interest in the future. For now, only one characteristic can be isolated: industry of employment. Those wage earners who remained employed in the same industry in 1990 as in 1997 were compared with all wage earners in both years. For full-time workers earning below $9 in 1990, it paid off to find employment in another industry. The results for workers earning between $6 and $7 per hour in 1990 are shown in Graph 23. More workers suffered a decline in earnings if they stayed in the same industry than overall, and fewer garnered large increases. The median wage increase for full-time workers in the same industry was $1.84, versus $2.70 for all workers. Many of the workers who stayed in the same industry were in low-wage industries such as farm crops (SIC 01) and restaurants (SIC 58). Workers earning above $9 per hour in 1990 enjoyed more success if they stayed in the same industry, as exemplified in Graph 24.

 

Graph 23.   Hourly Wage Increase For Full-Time
Workers, Earning $6 To $7/Hour, 1990-97

Percent of Employment By Wage Increase

graph23.gif

Graph 24.   Hourly Wage Increase For Full-Time
Workers, Earning $15 To $16/Hour, 1990-97

Percent of Employment By Wage Increase

graph24.gif


 Technical Appendix

Living Databases

This study is built on two databases, the quarterly wage files and the name and address files. The quarterly wage files are composed of the individual wage and hour records of those working at employers in the state of Washington, for each quarter of the year. The name and address files include monthly employment and total quarterly payroll for employers in the state, broken out by industry and location. These files are "living" in the sense that they are subject to update at different points in their history, and depending on when they were downloaded, may not be in perfect agreement.

 

Database Structure

The quarterly wage files include the employer identification number, the social security number of the employee, the hours worked by the employee in that quarter with that employer, and the wages paid. Theoretically, the payroll data in the name and address file should match total payroll for each employer in the wage file. However, employment counts will be different, because the wage file includes all employees during the quarter, while the name and address file includes a point-in-time monthly count. If an employer has no turnover during the quarter, then the monthly employment will match the number of employee records in the wage file, but this is rarely the case.

 

Zero-hour Records

For about ten percent of all records, no hours were reported. These records were not randomly distributed by industry, so hours were estimated using the median hours reported for records with the same or similar wages in the same industry. For instance, suppose there was a job in the banking industry (SIC 60) with no hours reported and $6,400 in wages. The number of hours would have been estimated by selecting all records from the banking industry paying $6,400, and then calculating the median hours worked for these records.

 

Multi-County Operations

Roughly one-fourth of all jobs in the state are with employers that have operations in more than one county or more than one industry or both. The name and address file has monthly employment and total payroll by county and industry for each location of these employers. However, individual records in the wage file had no county or industry identifier. To "estimate" the county and industry of these records, the following procedure was used. To clarify, we’ll use a fictitious employer that, according to the name and address file, had 1,000 employees and total payroll of $10 million, with 200 of those employees and $220 million in payroll in Clark County, and the remaining employment and payroll in other counties. In the wage file in the same quarter, there were 1,200 records, with a total of $10 million in wages.

  1. The percentage of total employment in each location was calculated from the name and address file, and was applied to the wage file. In our example, ten percent of the total employment was in Clark County, so it was assumed that ten percent of the 1,200 wage file records—120 records—for that employer were in Clark County. We’ll refer to the percentage as p and the number of records for the location as n.
  2. The records were ordered by wages paid in that quarter; in our example, all 1,200 records would be ordered.
  3. A sample of n records was selected from the ordered set, starting with record 1/2p, and skipping each 1/p records. In our example, we’d start at the 5th record, and continue selecting the 15th, 25th, and so on records.
  4. The total wages of these records was summed and compared to the total wages for that location from the name and address file. If the difference was less than $1,000, than the sample was judged to be close enough. If the difference was larger, then the starting point and the span of records skipped was adjusted up or down until the difference was less than $1,000.
  5. The procedure was repeated, starting with the location with the smallest employment and working up. The balance of records was allotted to the location with the largest employment.
  6. In a few cases, the difference could not be reconciled, and the county or industry was left blank for those records.

 

Validity of Data—Sources of Error

The data in the wage file has never been validated against employer records.

Sources of error include:

  1. Reporter error. Employers may have made errors in reporting hours and wage data, and may have omitted some employees (ironically, the author of this report was omitted from the 1990 database).
  2. Input error. The Employment Security Department may have made errors when inputting data.
  3. The estimates of hours for records where no hours were reported, and for county and industry for multi-location reporters, introduced some error into the analysis.
  4. While most multi-county employers report employment in each county, some do not. There was thus error in location for these records. In particular, most of the "big box" building supply retail outlets (in SIC 52) do not split out their employment, along with some but not all temp agencies (SIC 736).
  5. Some employers are miscoded in terms of their industry or location. The Employment Security Department contacts all employers on a rotating basis every three years to verify location and industry, but with over 200,000 employers in the state, some error is inevitable.

Download Appendix, for 99 Industries  - an Excel 5.0/97 file.

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Last Update:  March 20, 2000