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TRANSCRIPT
Diversity in the Creative Occupations Of Greater Milwaukee:
A Labor Market Analysis
Marc V. Levine University of Wisconsin-Milwaukee Center for Economic Development
September 2019
Report Prepared for Greater Together
2
Introduction Milwaukee has been, for decades, one of the most segregated metropolitan areas in
the United States, a place where racial inequality is entrenched and pervasive. These
disparities are particularly pronounced in the region’s labor market, where racial gaps in
employment, earnings, and mobility are among the widest in the nation.1
This study, prepared for the Greater Together “designing diversity” initiative,
presents the first systematic overview of racial disparities in a part of Milwaukee’s labor
market that has attracted increased attention in recent years: occupations in the “creative
sector.” After developing a working definition of creative sector occupations, we
examine three key questions. First, is employment in creative sector occupations in metro
Milwaukee marked by racial disparities and, if so, how wide are those gaps? Specifically,
are African Americans and Latinos underrepresented in Milwaukee’s creative
occupations, compared to their percentage of the overall metro area labor force? Second,
are there differences in the level of racial disparity found in different sub-sectors of
creative sector jobs? For example, are persons of color in Milwaukee more or less likely
to be underrepresented in jobs as, say, musicians or photographers, as opposed to, say,
artists or designers? Finally, the study puts Milwaukee in national perspective. We
compare the levels of racial disparity in selected creative occupations in the nation’s 50
largest metropolitan areas, including Milwaukee, by presenting an “index of
concentration” that measures the extent to which a given racial group is
“underrepresented” or “overrepresented” in a particular occupation, in relation to their
share of the metro area’s labor force. As we shall see, although racial disparities in
creative occupations are quite evident in Milwaukee, these gaps are not especially out of
line with trends in metro areas across the country. Racial disparities in creative sector
employment are indeed a common challenge in metropolitan areas across the United
States.
Before presenting our findings, a few definitional and methodological points are in
order. Although the terms “creative industries” and “creative class” have come into
common usage in recent years, there is no hard and fast definition of what occupations
constitute “creative sector” jobs (unlike, say, manufacturing, where the U.S. Bureau of
Labor Statistics (BLS) has a precise menu of occupations in the sector). Clearly, popular
3
but heavily criticized concepts such as Richard Florida’s “creative class,” which includes
so many dissimilar occupations that it totals over one-third of the U.S. labor force, are
analytically flawed.2 For this study, we have gathered data on jobs in the BLS “standard
occupational classification (SOC)” category of “arts, design, entertainment, sports, and
media occupations” (ADESM) as the closest approximation to genuinely “creative
occupations.” (See appendix for list of the occupations in this SOC). Although this
category does not encompass all jobs that could be deemed creative, and it also includes
several that seem conceptually dissimilar (e.g. “media workers,” “coaches” and
“choreographers;” “public relations specialists” and “musicians,” etc.), it is nonetheless
the best data available with which to analyze employment trends in creative occupations
in metro areas. U.S. Bureau of the Census data on employment in this occupational
category, broken down by race and ethnicity, is available on an annual basis through the
American Community Survey (ACS), and it is this data that we have used in this study.
We must also be sensitive to the limitations of the data. The ACS, like all surveys,
contains error margins. Consequently, in some metro areas with relatively small numbers
of minorities employed in the ADESM occupational category (and thus small survey
samples), there are quite large margins of error in the census estimate. In addition, when
we look at employment in some of the “sub-sector” occupations that are components of
the “arts, design, entertainment, sports, and media” sector, the error margins on the
employment estimates for blacks and Latinos are often exceptionally high – especially in
cities in which employment in those occupations is quite small. We have, therefore,
limited the analysis of sub-sectors to those with the highest employment totals and thus
more modest margins of error. Nevertheless, although this study uses the best data
available on race, ethnicity, and occupation in metro areas, in light of these substantial
margins of error, the analysis presented here must be read with caution, and conclusions
should be drawn with appropriate care.
Moreover, to further complicate matters, although our data for ADESM jobs by racial
groups is updated through 2017 (the most recent available), the only available data
breaking down employment by race in the narrower sub-sector occupations is from
2010.3 Although the 2010 data offer us a sense of the racial and ethnic disparities in the
distribution of jobs in these sub-sectors, we must be attentive to the likelihood that
4
patterns in race and occupation have changed, at least somewhat, in many metropolitan
areas over the past decade, especially in light in the demographic growth of the Latino
community in numerous metropolitan areas.4
With these caveats in mind, we now turn to the data on racial and ethnic diversity in
creative occupations in Milwaukee and the nation’s largest metropolitan areas.
Racial Disparities in Creative Occupations: Milwaukee
Tables 1 and 2 present the basic descriptive data on trends in the racial and ethnic
composition of employment in the “arts, design, entertainment, sports, and media”
occupations in metro Milwaukee over the past decade. In these tables, we have
aggregated the annual ACS employment estimates, which have substantial margins of
error, into pooled, three-year samples, which reduces the error margins. As the tables
illustrate, there has been a steady growth of diversity in Milwaukee’s labor market, both
in overall employment as well as in the creative occupations. The percentage of all jobs
in the metro area held by white non-Hispanic workers (WNH) fell from 77.9 percent in
2006-08, to 72.6 percent in 2015-17; similarly, the percentage of ADESM jobs held by
WNH workers declined from 87.1 to 84.0 percent over the past decade. Still, the raw
numbers of blacks and Latinos employed in creative occupations in Milwaukee,
measured by the ADESM sector, remains small: fewer that 2,000 (out of total metro area
employment in the sector of over 15,000).
Moreover, as Chart 1 illustrates, the racial composition of the creative sector in
Milwaukee remains considerably less diverse than the metropolitan area’s overall labor
market. For example, black workers represented 12.8 percent of the region’s workforce in
Table 1:
Employment by Race and Ethnicity in Metro Milwaukee: 2008-2017 Estimated total employment in All Occupations and in Arts, Design,
Entertainment, Sports, and Media
Year Black All Empl
Latino All Empl
WNH All Empl
Black ADESM
Latino ADESM
WNH ADESM
2006-2008 89,920 53.480 604,433 818 544 12,716 2009-2011 87,501 56,610 577,652 688 497 12,468 2012-2014 91,416 66,197 577,959 1,000 656 12,971 2015-2017 101, 443 73,658 574,822 916 995 13,294
5
Table 2:
Racial and Ethnic Breakdown of Employment in Metro Milwaukee: 2008-2017 % in All Occupations and in Arts, Design, Entertainment, Sports, and Media5
Year Black %
All Occs Latino % All Occs
WNH % All Occs
Black % ADESM
Latino % ADESM
WNH% ADESM
2006-2008 11.6 6.9 77.9 5.6 3.7 87.1 2009-2011 11.6 7.5 76.9 5.0 3.6 90.9 2012-2014 11.9 8.6 75.0 6.6 4.3 85.8 2015-2017 12.8 9.3 72.6 5.8 6.3 84.0
2017; by contrast, only 5.8 percent of workers in the ADESM jobs were African-
American. One way in which economists gauge the level of diversity in a labor market is
to calculate an “index of concentration,” which measures the degree to which a group is
employed in a particular occupation at a percentage greater than, or less than, their
percentage of total employment. For example, in a stylized case, if black workers make
up, say, 25 percent of a city’s labor force, but hold 50 percent of the city’s manufacturing
jobs, we would calculate the “index of concentration” for blacks in manufacturing as 200
percent (50/25). For any occupation, then, an index of 100 means that the group is
employed roughly in proportion to their presence in the overall labor market; an index
below 100 means that the group is “underrepresented” in the occupation; and an index
over 100 means that the group is concentrated, in relation to its weight in the overall
labor force, in a given occupation. As Chart 2 shows, for black and Latino workers in
Milwaukee, the “index of concentration” for the creative sector remains well below 100;
blacks, in particular, hold jobs in the “arts, design, entertainment, sports and media”
sector at less than half their share of overall metro area employment. Latinos hold
creative sector jobs at roughly two-thirds their proportion of overall employment. By
contrast, WNH workers are “overrepresented” by almost 16 percent in creative
occupations.
These disparities can be viewed at a somewhat more granular level by examining the
racial composition of employment in sub-sectors of the ADESM occupational category.
The data are arrayed in Tables 3-4 and Charts 3-9. We caution again that the most recent
6
data for these smaller occupational categories is from 2006-10, so they are less up-to-date
than the data for the broader ADESM category, which is for 2017. And, as noted earlier,
Chart 1:
Chart 2:
5.8 6.3
84.1
12.89.3
72.6
0
10
20
30
40
50
60
70
80
90
Black Hispanic White
Racial Composition in Creative OccupationsCompared to Racial Breakdown of
Total Workforce in Milwaukee: 2017
Art, Design, Entertainment, Sports, Media All Workers
45.3
67.7
115.8
0
20
40
60
80
100
120
140
Black Hispanic White not Hispanic
Index of Concentration in Creative Occupations:Milwaukee, 2017
7
in some cases, these occupational categories are estimated to contain very small numbers
of workers. For example, in several occupations -- such as actors, dancers, entertainers,
and television/video/motion picture operators—the estimates from the EEOC survey
reveal such a low number of employees in Milwaukee (especially for racial minorities)
that the margin of error renders meaningless, for all intents and purposes, the
employment number reported, and we have omitted those. Nevertheless, viewed with
proper caution, these data give us a somewhat more granular breakdown of the racial and
ethnic composition of employment in Milwaukee’s creative sector.
Table 3:
Employment by Race and Ethnicity in Selected Creative Occupations in Metro Milwaukee: 2006-2010
Occupation Black Latino WNH %Black %Latino %WNH
Artists and related 20 35 995 1.8% 3.1% 87.3% Designers 115 265 4,415 2.4% 5.5% 90.6% Producers/Directors 35 40 425 6.9% 8.0% 84.2% Athletes, coaches and related 115 44 1,075 9.1% 3.5% 85.0% Musicians 60 35 720 7.3% 4.2% 87.8% Public relations specialists 115 30 560 16.1% 4.2% 78.3% Editors 10 15 660 1.5% 2.2% 95.5% Writers and Authors 60 10 900 6.1% 1.0% 90.9% Broadcast Engineers 50 30 310 12.8% 7.7% 79.5% Photographers 10 45 770 1.2% 5.4% 91.1%
Table 4: Index of Concentration by Race and Ethnicity in Selected
Creative Occupations in Metro Milwaukee: 2006-2010
Occupation
Black Latino WNH
Artists and related 16.2 43.7 112.1 Designers 21.6 77.5 116.3 Producers/Directors 62.2 112.7 108.1 Athletes, coaches and related 82.0 49.3 109.1 Musicians 65.8 59.2 112.7 Public relations specialists 145.1 22.5 105.7 Editors 13.5 31.0 124.6 Writers and Authors 56.0 14.1 116.7 Broadcast Engineers 115.3 108.5 102.1 Photographers 10.8 76.1 116.9
8
Unsurprisingly, these tables and charts provide, for the most part, further evidence of
racial disparities in greater Milwaukee’s creative occupations. In every sub-sector of the
“arts, design, entertainment, sports, and media” occupational group, non-Hispanic whites
hold a disproportionately greater share of jobs than their percentage of the overall
Milwaukee labor force (see Table 4); in most sub-sectors, by that same measure, blacks
and Latinos are significantly underrepresented. In an extreme case, only 1.2 percent of
Milwaukee photographers in 2006-10 were African American, although blacks
represented 11.1 percent of the metro area’s total employment (see Chart 10). Only 1.0
percent of Milwaukee’s writers and authors were Latino, although Hispanics represented
7.1 percent of the region’s overall employment (see Chart 8). Blacks were almost five
times less likely to be employed as designers in Milwaukee than would be predicted by
the percentage of blacks in the region’s total labor force (see Chart 4).
There are some creative occupations in Milwaukee in which levels of racial diversity
apparently approach or even exceed levels in the total labor force. Black employees made
up 16.1 percent of public relations specialists in Milwaukee in 2006-10, compared to 11.1
percent of total employment in the region, with an index of concentration of 145.1 (see
Table 4 and Chart 7). In the occupational category of “broadcast and sound engineering
technicians and radio operators, and media and communication equipment workers”
(broadcast engineers, for short), all groups studied here (black, Hispanic, and WNH) hold
about the same share of jobs in the sector as they do in the overall labor market,
indicating significant racial and ethnic diversity (see Chart 9). On the whole, however,
these occupations are the exception rather than the rule. Racial and ethnic minorities in
Milwaukee are far from having a firm foothold in the metro area’s creative industries.
9
Chart 3:
Chart 4:
1.8 3.1
87.3
11.17.1
77.9
0
10
20
30
40
50
60
70
80
90
100
Black Latino White
Racial Composition of ArtistsCompared to Racial Breakdownof Total Workforce in Milwaukee
Artists All Workers
2.4 5.5
90.6
11.17.1
77.9
0
10
20
30
40
50
60
70
80
90
100
Black Latino White
Racial Composition of DesignersCompared to Racial Breakdownof Total Workforce in Milwaukee
Designers All Workers
10
Chart 5:
Chart 6:
6.9 8.0
84.2
11.17.1
77.9
0
10
20
30
40
50
60
70
80
90
Black Latino White
Racial Composition of Producers and Directors Compared to Racial Breakdownof Total Workforce in Milwaukee
Producers and Directors All Workers
7.3 4.2
87.8
11.1 7.1
77.9
0102030405060708090
100
Black Latino White
Racial Composition of MusiciansCompared to Racial Breakdownof Total Workforce in Milwaukee
Musicians All Workers
11
Chart 7:
Chart 8:
16.1
4.2
78.3
11.17.1
77.9
0
10
20
30
40
50
60
70
80
90
Black Latino White
Racial Composition of Public Relations SpecialistsCompared to Racial Breakdownof Total Workforce in Milwaukee
Public relations specialists All Workers
6.11.0
90.9
11.1 7.1
77.9
0102030405060708090
100
Black Latino White
Racial Composition of Writer and AuthorsCompared to Racial Breakdownof Total Workforce in Milwaukee
Writers and authors All Workers
12
Chart 9:
Chart 10:
12.87.7
79.5
11.17.1
77.9
0
10
20
30
40
50
60
70
80
90
Black Latino White
Racial Composition of Broadcast EngineersCompared to Racial Breakdown of
Total Workforce in Milwaukee
Broadcast Engineers All Workers
1.25.4
91.1
11.17.1
77.9
0
10
20
30
40
50
60
70
80
90
100
Black Latino White
Racial Composition of PhotographersCompared to Racial Breakdown of
Total Workforce in Milwaukee
Photographers All Workers
13
Racial Diversity in Creative Occupations: Milwaukee in Comparative Perspective
As we have seen, for the most part, blacks and Latinos are generally underrepresented
in Milwaukee’s creative occupations in relation to their presence in the larger regional
labor market. How do Milwaukee’s racial disparities in creative occupations stack up
against other metropolitan areas? How much better, or worse, is Milwaukee than other
metros when it comes to racial diversity in creative occupations?
To gauge which metro areas exhibit greater or lesser diversity in their creative
occupations, we have calculated an “index of concentration” in the ADESM sector for
each racial group in the nation’s largest metropolitan areas. As we have noted, an index
of concentration shows the degree to which a group is employed in a particular
occupation at a percentage greater than, or less than, their percentage of total
employment. For any group, an index under 100 reveals a presence in an occupation less
than the group’s proportion of the region’s overall employment; an index over 100
indicates a concentration of a group in a particular occupation. When comparing metro
areas, all things equal, the higher the index of concentration for blacks and Latinos, the
greater the diversity in the creative sector; the higher the index of non-Hispanic whites,
the less the diversity. (There are some caveats to this we will discuss shortly).
Charts 10-12 display the index of concentration in the “arts, design, entertainment,
sports, and media” occupational group for blacks, Latinos, and non-Hispanic whites
(WNH) in the nation’s 50 largest metropolitan areas.6 The charts show that limited
diversity in creative occupations is a national challenge. In 44 of the nation’s 50 largest
metro areas, the index of concentration for black workers in creative occupations is below
100 (see Chart 10); in 47 of the 50 largest metros, the index for Latino workers is under
100 (see Chart 11). Conversely, in every single one of the 50 largest metropolitan areas,
the index of concentration in creative occupations for WNH workers is over 100. In short,
virtually everywhere in the United States, the creative occupations do not reflect the level
of diversity in the community’s overall employment.
When we compare diversity levels in “creative” Milwaukee to those in other metros,
the results are mixed. In Milwaukee, the index of concentration in ADESM jobs for black
workers ranks 40th among the nation’s 50 largest metros; for Latinos Milwaukee, the rank
14
Chart 10:
31.5
33.5
40.5
45.0
45.9
47.1
47.3
48.1
52.2
52.7
52.8
53.1
54.5
55.9
56.0
56.6
57.3
58.3
59.0
59.4
60.0
60.3
60.5
61.0
63.6
64.2
65.7
65.9
68.5
68.7
69.6
69.7
73.5
73.7
74.4
78.4
80.4
82.5
84.2
85.2
89.5
92.2
96.3
103.2
111.5
115.1
123.9
145.8
145.9
0.0 20.0 40.0 60.0 80.0 100.0 120.0 140.0 160.0
Seattle
Buffalo
Oklahoma City
Cincinnati
Kansas City
Miami
Columbus
New York
Austin
Nashvi lle
Milwaukee
Raleigh
Tampa
Richmond
Cleveland
Detroit
Orlando
Washngton
Birmingham
New Orleans
Pittsburgh
Denver
Indianapolis
Baltimore
Boston
Atlanta
Memphis
Minneapol is
Chicago
Louisville
Virginia Beach
Philadelphia
Hartford
Charlotte
Portland
Houston
San Francisco
St. Louis
Jacksonville
Phoenix
Los Angeles
Dallas
Sacramento
Providence
San Diego
Las Vegas
Riverside
San Antonio
San Jose
Black Workers in Arts, Design, Entertainment, Sports, & Media:
Index of Concentration
15
Chart 11:
15.3
37.4
41.4
41.5
42.7
43.1
43.7
44.1
46.4
47.5
48.8
49.0
50.6
50.8
50.8
51.0
51.6
52.1
52.8
55.2
55.6
56.0
56.1
58.0
58.4
59.7
60.7
61.8
63.2
64.6
66.1
67.4
67.7
71.0
74.5
75.5
76.3
76.6
79.1
79.3
80.8
85.8
87.8
89.9
163.1
189.4
197.1
0.0 50.0 100.0 150.0 200.0 250.0
Raleigh
Virginia Beach
Los Angeles
Las Vegas
Chicago
Cleveland
Columbus
Oklahoma City
Kansas City
San Francisco
Richmond
Dallas
Jacksonville
San Diego
Portland
Washngton
Austin
New York
Philadelphia
Nashvi lle
San Jose
Orlando
Boston
Phoenix
Denver
Baltimore
Sal t Lake City
Riverside
Houston
Louisville
Tampa
San Antonio
Sacramento
Milwaukee
Providence
Seattle
Charlotte
Minneapol is
New Orleans
Hartford
Detroit
St. Louis
Atlanta
Miami
Cincinnati
Indianapolis
Pittsburgh
Latino Workers in Arts, Design, Entertainment, Sports, & Media:
Index of Concentration
16
Chart 12:
101.7
102.4
104.7
105.0
106.3
107.5
107.8
108.1
110.2
110.6
111.5
112.1
112.5
112.7
113.6
113.7
114.6
115.4
115.5
116.2
116.3
116.9
117.7
118.1
119.0
122.0
122.1
124.2
124.8
124.9
127.1
128.3
128.4
130.1
130.2
131.4
131.8
132.3
134.9
135.9
140.2
144.2
146.5
148.0
148.1
148.8
154.0
155.0
157.3
194.8
0.0 50.0 100.0 150.0 200.0 250.0
Pittsburgh
Providence
St. Louis
Indianapolis
Minneapol is
Cincinnati
Buffalo
Portland
Hartford
Louisville
Cleveland
Milwaukee
Jacksonville
Columbus
Boston
Detroit
Kansas City
Sal t Lake City
Charlotte
Birmingham
Oklahoma City
Philadelphia
Nashvi lle
Seattle
Denver
Tampa
Baltimore
Phoenix
Richmond
Virginia Beach
Sacramento
New Orleans
Atlanta
Austin
Chicago
Raleigh
San Jose
Dallas
Orlando
San Diego
Memphis
New York
Washngton
Las Vegas
San Antonio
Houston
San Francisco
Riverside
Miami
Los Angeles
White (Not Hispanic) Workers in Arts, Design, Entertainment, Sports, & Media:
Index of Concentration
17
is 14th. This is misleading: it is more an indicator of the very weak presence of Latinos in
creative occupations in other metros rather than a sign that Latinos have secured a
significant presence in creative occupations in Milwaukee; as Chart 11 shows, the Latino
index of concentration in ADESM jobs in Milwaukee is only 71. Finally, for WNH
workers, Milwaukee’s index of concentration in ADESM occupations ranks 39th among
the nation’s 50 largest metropolitan areas.
Although these comparative “indexes of concentration” are suggestive, any
conclusions regarding their meaning about diversity in creative occupations should be
drawn tentatively and carefully. Take, for example, the case of Los Angeles. As Chart 12
shows, the WNH index of concentration for Los Angeles is almost 200, which would
imply strong white “overrepresentation” in creative industries (and commensurate
underrepresentation of blacks and Latinos). Yet, looked at from a different optic, because
Los Angeles is one of the “creative” capitals of the United States, it is a magnet for
workers of all races and ethnicities in the arts, design, entertainment, sports, and media
occupations. Six percent of all black workers in ADESM jobs in the United States work
in Los Angeles; only New York employs more blacks in these occupations. 15% of all
Latino ADESM employees in the U.S. work in Los Angeles, far and away the largest
percentage in the country. In short, the clustering of creative workers in just a few big
metros like Los Angeles distorts somewhat the utility of the index of concentration as a
measure of comparative diversity. 43 percent of all Latino ADESM employees in the
U.S. work in just six metro areas (Chicago, Houston, Los Angeles, Miami, New York,
and Riverside). 37% of all black ADESM employees in the country also work in just six
metros (Atlanta, Chicago, Dallas, Los Angeles, New York, and Washington, D.C.). In
these metro areas, even as blacks and Latinos make up a lower percentage of employees
in creative jobs than their share of overall metro area employment, there is a level of
diversity missing from cities like Milwaukee, with a much smaller “creative sector” that
does not function as a magnet drawing creative workers of all races and ethnicities from
across the country.7
Finally, Charts 13-19 array the index of concentration for selected sub-sectors of the
ADESM occupational category. We have presented the index only for the WNH group
because, in most metropolitan areas, the error margins for racial minority employment
18
estimates in these sub-sectors are too high for confidence in the accuracy of the numbers.
Nevertheless, albeit limited to non-Hispanic whites, the charts reveal the limited racial
diversity in creative occupations across the nation. In virtually all of these occupations, in
the vast majority of the nation’s largest metropolitan areas, the WNH index is above 100,
indicating a higher proportion of WNHs in the particular creative occupation than the
WNH share of overall employment. By simple arithmetic, therefore, we can infer that
workers of color are “underrepresented” in these occupations in relation to their share of
overall employment. These comparative data do not suggest that Milwaukee is among the
metros in the country with the least diversity in its creative occupations, although, as
noted above, that conclusion must be tempered by the confounding issue of geographic
clustering, which can distort indexes of concentration (see endnote 7 below). And in the
last analysis, even if Milwaukee may not be among the “least” racially diverse
metropolises in these creative jobs, that is small consolation when virtually all
metropolitan areas –Milwaukee included—manifest limited diversity in their creative
occupations.
19
Chart 13:
185.6
169.0
168.5
162.6
161.5
158.8
152.8
150.1
149.7
146.9
145.7
145.5
142.4
141.8
140.9
138.9
136.7
136.5
133.8
132.5
132.1
129.8
127.9
126.6
125.9
125.4
125.2
124.0
123.0
122.5
121.3
121.3
119.5
118.0
117.6
116.1
115.0
115.0
113.6
113.3
113.3
112.9
112.1
111.6
110.4
109.0
108.5
108.3
107.5
104.6
0.0 20.0 40.0 60.0 80.0 100.0 120.0 140.0 160.0 180.0 200.0
Los Angeles
Houston
San Jose
San Francisco
Miami
Memphis
San Antonio
Richmond
San Diego
Washngton
Riverside
New York
Las Vegas
Baltimore
Birmingham
Austin
Atlanta
Dallas
Sacramento
Phoenix
Chicago
Virginia Beach
Charlotte
Jacksonville
Raleigh
Philadelphia
New Orleans
Tampa
Seattle
Denver
Sal t Lake City
Nashvi lle
Detroit
Orlando
Oklahoma City
Indianapolis
Columbus
Kansas City
Minneapol is
Providence
Hartford
Boston
Milwaukee
Portland
Louisville
St. Louis
Buffalo
Cincinnati
Cleveland
Pittsburgh
Artists and Related Occupations:WNH Index of Concentration
20
Chart 14:
157.0151.2
145.4142.7
139.4139.2
134.9133.8133.7133.5
132.5130.6130.2
128.3127.6127.3126.9126.5
124.4123.7123.4122.7122.6121.7
120.7120.2119.5119.3118.8
117.6117.4117.3117.2116.3
114.9113.6113.2112.4112.3112.2
111.1110.9110.2109.7109.3108.4107.5107.3107.0106.3
0.0 20.0 40.0 60.0 80.0 100.0 120.0 140.0 160.0 180.0
MemphisLos Angeles
New OrleansAustin
San FranciscoHouston
DallasBirmingham
RichmondWashngton
MiamiRiverside
Virginia BeachAtlanta
CharlotteLas Vegas
ChicagoNew York
RaleighSan Diego
San JoseNashvi lle
BaltimoreOrlandoPhoenix
HartfordDetroit
PhiladelphiaDenver
ClevelandJacksonville
St. LouisOklahoma City
MilwaukeeIndianapolisKansas City
TampaColumbus
Sal t Lake CityLouisville
SacramentoBoston
Minneapol isSeattle
San AntonioPortland
CincinnatiProvidencePittsburgh
Buffalo
Designers:WNH Index of Concentration
21
Chart 15:
212.2
169.9
163.8
145.6
143.7
142.0
138.0
136.7
136.7
136.1
134.6
134.5
131.9
130.7
128.8
128.1
127.7
127.6
124.4
124.0
123.5
122.7
122.3
121.5
120.2
120.2
120.2
119.9
119.3
119.1
114.6
114.6
114.4
113.1
111.5
111.4
111.0
110.4
110.1
108.8
108.5
108.1
107.4
105.1
104.9
104.3
104.1
103.7
94.5
91.4
0.0 50.0 100.0 150.0 200.0 250.0
Los Angeles
Riverside
San Francisco
New York
Jacksonville
Raleigh
San Diego
Las Vegas
New Orleans
Dallas
Washngton
Austin
Birmingham
Baltimore
San Jose
Houston
Tampa
San Antonio
Sal t Lake City
Chicago
Orlando
Richmond
Memphis
Charlotte
Phoenix
Atlanta
Indianapolis
Denver
Oklahoma City
Seattle
Virginia Beach
Philadelphia
Columbus
Nashvi lle
St. Louis
Buffalo
Louisville
Minneapol is
Kansas City
Providence
Boston
Milwaukee
Portland
Detroit
Hartford
Pittsburgh
Miami
Cleveland
Sacramento
Cincinnati
Producers and Directors:WNH Index of Concentration
22
Chart 16:
181.5165.7
158.5156.2
148.8143.7
139.0135.5
128.1126.1126.0
120.3119.4119.0118.6117.9117.5117.0117.0116.6
115.6114.7
112.7112.7112.3111.7110.8110.7
109.1107.8107.3
105.6105.5105.1104.4104.4103.8103.8103.1102.5102.2101.3101.2101.1
100.098.5
97.297.196.2
95.0
0.0 20.0 40.0 60.0 80.0 100.0 120.0 140.0 160.0 180.0 200.0
San JoseLos AngelesSan Antonio
San FranciscoOrlando
JacksonvilleSan Diego
AustinMiami
New YorkDallas
SeattleHartford
CharlotteNashvi lle
RichmondHouston
Sal t Lake CityBirminghamSacramento
DenverLas Vegas
MilwaukeeChicago
WashngtonProvidence
MemphisTampa
LouisvilleRaleighBoston
IndianapolisSt. Louis
Oklahoma CityBuffalo
ColumbusRiverside
PittsburghNew OrleansMinneapol is
PhoenixClevelandCincinnati
Virginia BeachBaltimore
PhiladelphiaKansas City
AtlantaDetroit
Portland
Musicians:WNH Index of Concentration
23
Chart 17:
204.4
199.2
185.6
180.9
180.9
171.1
166.2
160.6
158.9
157.5
155.1
151.5
151.4
150.7
143.3
139.2
137.3
137.2
135.6
135.3
133.8
130.8
130.1
129.4
128.6
126.8
123.3
123.1
122.4
121.7
121.5
120.2
118.8
117.5
116.7
116.5
116.1
115.4
114.2
113.6
113.6
113.4
113.1
112.9
112.9
111.7
111.1
110.7
107.4
99.6
0.0 50.0 100.0 150.0 200.0 250.0
San Jose
San Antonio
Riverside
Los Angeles
Miami
San Francisco
Houston
San Diego
Las Vegas
Dallas
New York
Orlando
Washngton
Austin
New Orleans
Sacramento
Charlotte
Baltimore
Raleigh
Jacksonville
Chicago
Virginia Beach
Atlanta
Hartford
Phoenix
Denver
Oklahoma City
Philadelphia
Seattle
Tampa
Richmond
Cleveland
Columbus
Kansas City
Milwaukee
Louisville
Birmingham
Boston
Indianapolis
Memphis
Portland
Sal t Lake City
Detroit
St. Louis
Nashvi lleMinneapol is
Pittsburgh
Cincinnati
Buffalo
Providence
Writers and Authors:WNH Index of Concentration
24
Chart 18:
184.5172.3
168.8163.8
155.8150.3
144.4142.6
135.8134.9134.2
130.4128.0127.3126.4125.6125.3125.2
121.6118.9
116.7114.5113.4113.4112.9
111.3110.2109.5108.8108.2107.8
106.0104.5104.3
102.8102.3102.1
100.8100.697.196.8
94.694.394.293.3
89.982.0
80.577.5
56.1
0.0 20.0 40.0 60.0 80.0 100.0 120.0 140.0 160.0 180.0 200.0
Los AngelesMemphisSan Jose
San AntonioHouston
AustinSan DiegoRiversideCharlotte
New OrleansPhoenix
San FranciscoVirginia Beach
New YorkRichmondNashvi lle
DallasOrlandoChicago
SacramentoPortland
AtlantaHartford
Las VegasMinneapol is
Kansas CityColumbus
St. LouisSal t Lake City
PittsburghBoston
IndianapolisCincinnati
SeattleBaltimore
TampaMilwaukee
MiamiWashngton
PhiladelphiaProvidence
ClevelandLouisville
DenverDetroitBuffalo
Oklahoma CityJacksonvilleBirmingham
Raleigh
Broadcast Engineers:WNH Index of Concentration
25
Chart 19:
177.3172.3
159.8157.3
146.7142.8
141.2138.5138.4
137.3134.5134.5
132.9132.2131.7
130.1129.7129.7
127.3127.3
123.6121.3121.0120.1119.2118.5118.2117.4117.1116.9116.9
115.9114.4
113.3112.8112.7112.4111.9111.8111.4110.6110.4
109.3109.0108.2
107.0106.0105.9
103.7101.6
0.0 20.0 40.0 60.0 80.0 100.0 120.0 140.0 160.0 180.0 200.0
San JoseLos Angeles
San FranciscoSan Antonio
MiamiWashngton
HoustonAustin
PhoenixBirmingham
New OrleansDallas
AtlantaNew York
OrlandoSan Diego
ChicagoRiverside
Oklahoma CityTampa
Kansas CityCharlotte
IndianapolisMemphisBaltimore
Sal t Lake CityVirginia Beach
HartfordBuffalo
Las VegasMilwaukee
DenverProvidence
LouisvilleCleveland
PhiladelphiaColumbusNashvi lle
RaleighBoston
PortlandRichmond
Minneapol isSacramento
DetroitSeattle
JacksonvilleSt. Louis
PittsburghCincinnati
Photographers:WNH Index of Concentration
26
Segregation and Diversity in Metro Area Creative Occupations This study has presented descriptive data on racial disparities in creative occupations
in Milwaukee and the nation’s 50 largest metropolitan areas; we have not, however,
analyzed the causes of these disparities. Although such a comprehensive causal analysis
is beyond the scope of this study, we have pulled together some preliminary data on
whether there appears to be a connection between levels of segregation in metropolitan
areas and the degree to which creative occupations in those metros exhibit racial
diversity. Social scientists generally gauge community segregation with a measure known
as the “dissimilarity index” (also called the “segregation rate”). Anything above 60 on the
index is considered high segregation (over 70 is very high); 40-60 is considered
moderately high; and below 40 is considered relatively low (there is only one metro area
in the U.S. – Las Vegas—with a segregation rate below 40). In Chart 20 below, we have
calculated the average “index of concentration” in ADESM jobs for black workers in
metro areas at various levels of segregation. The chart shows what appears to be a fairly
direct connection between segregation and creative sector diversity. In the most
segregated metropolitan areas in the U.S., with segregation rates above 70, the average
“index of concentration” for African Americans in creative occupations is 56.9. This
means that in high segregation metros, on average, blacks hold ADESM jobs at just over
half their proportion of overall metro area employment. By contrast, in metros with low-
to-moderate segregation rates (below 50), the average black “index of concentration” in
ADESM jobs is 98.8, meaning that in these lower segregation regions, blacks hold
creative sector jobs at about the same level as their share of overall metro area
employment.
This correlation does not prove, of course, that segregation is the primary cause of
racial disparities in creative occupations. Many other factors --such as education, cultural
traditions, or growth rates and opportunities in other local industries, to name just a
few—would require analysis as causal variables. But, extensive research has identified
reducing segregation as a crucial step to alleviating racial inequality in a wide range of
areas such student achievement, income inequality, concentrated poverty, and structural
joblessness. It is certainly plausible, in addition to ameliorating conditions in all those
crucial areas, that changing Milwaukee’s status as the nation’s most segregated
27
metropolitan area would also yield the additional benefit of expanding racial equity in the
region’s creative industries.
Chart 20:
Conclusion This study of racial disparities in the creative occupations of Milwaukee and the
nation’s largest metropolitan areas yields three main conclusions:
First, African American and Latino workers are underrepresented, in relation to their
presence in overall regional employment, in Greater Milwaukee’s creative occupations.
These disparities appear in both the larger occupational category of “arts, design,
entertainment, sports, and media” (ADESM), as well as in most of the occupations that
are components of the ADESM category.
Second, there are racial disparities in creative occupations in cities across the country.
In all of the nation’s 50 largest metropolitan areas, except for a handful of cases, blacks
and Latinos are underrepresented in creative occupations, while non-Hispanic whites
hold a disproportionate share of ADESM jobs, relative to their percentage of the overall
56.963.5
76.2
98.8
0
20
40
60
80
100
120
70+ 60-69 50-59 under 50
AVER
AGE C
OMPO
SITE
INDE
X RA
NK
SEGREGATION LEVEL
Segregation and "Diversity Index" Rank:African Americans in ADEMS Occupations
28
labor force. Milwaukee ranks particularly poorly among the largest metros in the degree
to which blacks hold ADESM jobs, but overall, Milwaukee’s racial disparities are more
or less in line with the national patterns. The problem, of course, is that racial minorities
are underrepresented in creative occupations almost everywhere.
Third, the data suggest a correlation exists between diversity in the creative sector of
a metropolitan area and racial segregation in the region. The more segregated a metro
area, the lower the likelihood that racial minorities are employed in creative occupations
proportionate to their percentage of the labor force. This preliminary finding suggests that
reducing residential segregation in Milwaukee, in addition to improving racial equity in
areas like income, employment, and schooling, may also help open more creative sector
occupations to minority workers.
In raw numbers, how much growth in African American and Latinx employment in
Milwaukee’s creative occupations would be necessary to eliminate racial disparities in
employment in those jobs? As Table 5 shows, based on 2015-17 pooled employment data
from the Census Bureau ACS survey, it would take an estimated increase of around 1,600
blacks and Latinx employed in Milwaukee’s ADESM occupations for the workforce in
those jobs to mirror the share of racial minorities in Milwaukee’s overall workforce. (See
endnote 8 on how we arrived at this estimate). In percentage terms, it would take an
estimated increase of 83 percent in minority employment in ADESM jobs for there to be
the same level of racial diversity found in the overall workforce.8
Table 5: Estimates of employment increases required to achieve racial
parity in creative occupations in Greater Milwaukee
All Arts, Design, Entertainment, Sports, and Media Occupations (ADESM)
Group Current ADESM Employment
Parity ADESM Employment
Targeted Increase in ADESM Employment
Targeted Increase as % of Current Employment
Black 916 2,027 1,111 121.2% Latinx 995 1,473 478 48.0% Total 1,911 3,500 1,589 83.2%
29
Appendix
Arts, Design, Entertainment, Sports, and Media Occupations (Major Group) This major group comprises the following occupations: Art Directors ; Craft Artists ; Fine Artists, Including Painters, Sculptors, and Illustrators ; Multimedia Artists and Animators ; Artists and Related Workers, All Other ; Commercial and Industrial Designers ; Fashion Designers ; Floral Designers ; Graphic Designers ; Interior Designers ; Merchandise Displayers and Window Trimmers ; Set and Exhibit Designers ; Designers, All Other ; Actors ; Producers and Directors ; Athletes and Sports Competitors ; Coaches and Scouts ; Umpires, Referees, and Other Sports Officials ; Dancers ; Choreographers ; Music Directors and Composers ; Musicians and Singers ; Entertainers and Performers, Sports and Related Workers, All Other ; Radio and Television Announcers ; Public Address System and Other Announcers; Broadcast News Analysts ; Reporters and Correspondents ; Public Relations Specialists ; Editors ; Technical Writers ; Writers and Authors ; Interpreters and Translators ; Media and Communication Workers, All Other ; Audio and Video Equipment Technicians ;Broadcast Technicians ; Radio Operators ; Sound Engineering Technicians ; Photographers ; Camera Operators, Television, Video, and Motion Picture ; Film and Video Editors ; Media and Communication Equipment Workers, All Other
30
Endnotes 1See, among others: Marc V. Levine, Race and Nonemployment in Urban America Since the 1970s (Milwaukee: UWM Center for Economic Development, forthcoming 2019); Marc V. Levine, Perspectives on the Current State of the Milwaukee Economy (Milwaukee: UWM Center for Economic Development, UWM Digital Commons, 2013). Access at: https://dc.uwm.edu/cgi/viewcontent.cgi?article=1013&context=ced_pubs; Marc V. Levine, Race and Male Employment in the Wake of the Great Recession: Black Male Employment Rates in Milwaukee and Nation’s Largest Metro Areas, 2010 (Milwaukee: UWM Center for Economic Development, UWM Digital Commons, 2012). Access at: https://dc.uwm.edu/cgi/viewcontent.cgi?article=1019&context=ced_pubs; Marc V. Levine, Latino Milwaukee: A Statistical Portrait (Milwaukee: UWM Center for Economic Development, UWM Digital Commons, 2016). Access at: https://dc.uwm.edu/cgi/viewcontent.cgi?article=1004&context=ced_pubs; and Raj Chetty et al, “The Opportunity Atlas: Mapping the Childhood Roots of Social Mobility,” (Harvard University: Opportunity Insights, 2018). Accessed at: https://opportunityinsights.org/wp-content/uploads/2018/10/atlas_paper.pdf 2 Richard Florida, The Rise of the Creative Class (New York: Basic Books, 2002). Among the many critiques of Florida’s concept, see Alec MacGillis, “The Ruse of the Creative Class,” The American Prospect, December 18, 2009 (accessed at: http://prospect.org/article/ruse-creative-class-0); and Marc V. Levine, “La «classe créative» et la prosperité urbaine: mythes et réalités,” in R. Tremblay and D-G Tremblay (eds), La classe créative selon Richard Florida: Un paradigm urbain plausible? (Quebec: Les presses de l’Université du Québec, 2010), pp. 87-112. 3 This data is from the 2006-10 Equal Employment Opportunity Commission (EEOC) survey, based on pooled, 5-year ACS data. The EEOC does not have a regularly scheduled released of a new survey of occupations by race and ethnicity for the nation’s metropolitan areas, and has provided no indication on when one might be forthcoming. 4See Levine, Latino Milwaukee, pp. 15-22; 112. 5The percentages for groups in this table –and others like it in this report—do not add up to 100 percent, as we have only included black, Hispanic, and non-Hispanic white workers; smaller groups, such as “Asian” or “Pacific Islander,” as well as small groups reporting multiple races or ethnicities, are not analyzed here. 6These data are drawn from the ACS 2017 one year estimates (as opposed to earlier tables for Milwaukee which pooled ACS estimates for 2015-17). This is why the index of concentration for various groups in Milwaukee are slightly different in these charts than the calculations reported earlier. 7Labor market analysts often use a measure called “location quotients” (LQ) to gauge the geographic concentration of particular industries or occupations. It is calculated by dividing the proportion of a region’s employment in an industry or occupation by the proportion of the nation’s employment in the same industry or occupation. Thus, if the percentage of a city’s employment in ADESM jobs were exactly the same as the percentage nationally, the LQ would be 1.0. In a city in which ADESM jobs were concentrated, the LQ would be above 1.0. In Los Angeles, the LQ for black workers in ADESM occupations is 2.83; for Latino workers, the LQ is 1.37; and for WNH workers it is 3.38. These LQs bespeak Los Angeles’ status as a hub of creative occupations, for all racial and ethnic groups (but especially for non-Hispanic whites). By contrast, the LQ for black workers in ADESM occupations in Milwaukee is 0.78; for Latino workers it is 1.09; and for WNH workers in creative occupations, it is 0.91 – all modest LQs that confirm Milwaukee’s peripheral place in the nation’s creative industries. 8As noted, these estimates are derived first by calculating current ADESM employment in metro Milwaukee, by race, from the U.S. Bureau of the Census, American Community Survey, pooled 2015-17
31
data. Then, we calculated how many blacks and Latinx would be employed in ADESM if they were employed at the same percentage as their share of metro area total employment. For example, in 2015-17, blacks constituted 5.8% of metro Milwaukee ADESM employment, compared to 12.8% of total employment. Thus, the parity ADESM number for blacks (2,027) is calculated as 12.8% of total ADESM employment (15,224). Similarly, in 2015-17 Latinx workers constituted 6.3% of Milwaukee’s ADESM employment, compared to 9.3% of total employment. Thus, the parity ADESM number for Latinx (1,473) is calculated as 9.3% of total ADESM employment (15,224). A note of caution: The parity targets for workers of color are calculated the basis of the most recent employment by occupation data (2015-17). If, for example, total ADESM employment is higher in 2019 and going forward (a likely possibility), then the parity target for Black and Latinx employment in those subsequent years would also be higher.