| The Washington Wage Report | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Planning and Economic Development Information |
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| 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.
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 employers 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 quarters 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. |
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| 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. |
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In this case, were 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 didnt 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.
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-1990s, and as a result their numbers increased dramatically. Comparisons of 1990 and 1997 data in this report exclude this industry. Of all statistical measures, the one most commonly used is the average. Its 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 substantiallyregardless 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 wont do. To better illustrate the wage trends, this report makes use of several other measures, depending on the question asked.
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.
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 doesnt 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:
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 dont 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 hoursthe
equivalent of working 30 hours or more per week, year-roundcame to 46% of the total.
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.
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:
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.
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.
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.
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. |
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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.
Over 350,000 jobs paid below $8/hour in 199718% of the total. One out of six of these lower-wage jobs was provided by an eating or drinking establishmenta 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.
Jobs Paying $8 to $12 Per Hour Another 440,000 jobsalmost 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.
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.
Higher-Wage Jobs: $16 to $24 per hour Looking on the more positive side, 790,000 jobs-- 41% of the
totalpaid 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.
Higher-Wage Jobs: $24 per hour and up Over 360,000 jobs19% of the totalmet 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.
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. Its 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.
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.
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 entrantsthey 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:
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.
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 1997almost no change after
adjustment for inflation.
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.
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.
Hours Worked No, its not just your imagination: youre 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 hoursmore than 40 hours per
weekreached 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.
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.
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) 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.
AgricultureFarm 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 changefrom 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
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.
AgricultureFruit & 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)
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 loggingthe highest-paying sector of the
industryand a downward shift in sawmill and millwork/plywood wages were to blame. Graph 9a. Lumber & Wood
Products (SIC 24)
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)
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)
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)
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)
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
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 temporaryFTE 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 1997temp agencies are prime indicators of the market minimum wage. Graph 15. Personnel Supply
Agencies (SIC 736)
Software Software has been the fastest-growing industry in the state during the 1990s, 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)
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)
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)
Engineering & Management Services In contrast to social services, many jobs in engineering & management services require bachelors 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
K-12 Public Education Public schools employ teachers, administrators, and a range of support staff. In comparison with some industries, public educations wage profile changed little from 1990 to 1997. Graph 20. K-12 Public
Education
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.
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.
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.
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.
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.
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.
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 yearthe equivalent of working 40 hours per week for three-fourths of the year, or a 30-hour workweek year-roundwill 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.
Graph 21. Hourly Wage
Increase For Full-Time
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.
Graph 22. Hourly Wage
Increase For Full-Time 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
Graph 24. Hourly Wage
Increase For Full-Time
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, well 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.
Validity of DataSources of Error The data in the wage file has never been validated against employer records. Sources of error include:
Download Appendix, for 99 Industries - an Excel 5.0/97 file. |
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