The number of jobs in the United States (U.S.) requiring substanal science, technology, engineering, and mathemacs
(STEM) experse has grown nearly 34% over the past decade. As of 2015, nearly one in seven workers with at least a
four-year degree say that their job requires a “bachelors level” of STEM experse.
1
Another 16 million skilled technical
jobs–more than one in nine–do not require a bachelors degree, yet require signicant experse in at least one
technical eld.
2
At the same me, other countries are challenging U.S. leadership in science and technology. Between 2000 and 2014,
the number of Americans with a four-year degree in S&E grew by 53% (483,764 to 741,763); in China, this number was
360% (359,478 to 1,653,565).
3
China’s investments in higher educaon and research and development (R&D) have
fueled the rapid growth of its high-technology industries.
4
Their high-tech manufacturing output now ranks number
two in the world, trailing only the U.S.
5
China is not alone–other countries are increasing investments in R&D and
educaon to compete with the U.S. (Figure 1).
6
We Must Take Advantage of our Nation’s Greatest Asset–Our People
As science and technology transform our economy and global compeon grows, our Naon must focus on its greatest
asset–our people. The U.S. can no longer rely on a disnct and relavely small “STEM workforce.
7
Instead, we need
a STEM-capable U.S. workforce that leverages the hard work, creavity, and ingenuity of women and men of all ages,
all educaon levels, and all backgrounds.
8
We need sciensts searching for cures for genec disorders, engineers
revoluonizing and securing our electrical grid, skilled technicians improving the operaons of our research facilies
and hospitals, and farmers producing healthier crops ulizing new technologies that at the same me consume fewer
resources.
A STEM-capable workforce provides the U.S. with an enduring compeve advantage. Building and sustaining it will
require cooperaon and commitment from local, state, and federal governments, educaon instuons at all levels,
non-governmental organizaons, and businesses large and small. As a naon, we must work together to ensure all
segments of our populaon have access to aordable, high-quality educaon and training opportunies beginning
as early as kindergarten and lasng well beyond graduaon. Today’s workers need “on-ramps” to develop the STEM
experse and other crical capabilies so they can adapt and thrive.
9
Most of all, we must ensure that no Americans
are le behind. All our people must be armed with the skills and knowledge to meet the future head on.
Among the groups that are underulized, yet essenal to our future compeveness, are workers who use technical
skills in their jobs but who do not have a four-year degree (“skilled technical workers”) and people at all educaon
levels who have been historically underrepresented in STEM. Growing the skilled technical workforce and reducing
barriers to parcipaon in STEM will increase individual economic opportunity and support our Naon’s leadership in
science and technology.
National Science Board
Science and Engineering Indicators
2018
National Science Board [email protected] | 703.292.7000
NSB Indicators Resource Page | nsf.gov/nsb/sei
National Science Foundation
nsf.gov/statistics/indicators | NSB-2018-7
A Policy Companion Statement to Science and Engineering Indicators 2018
OUR NATION’S FUTURE COMPETITIVENESS
RELIES ON BUILDING A STEM-CAPABLE U.S. WORKFORCE
The Skilled Technical Workforce
The most important and dening feature of a STEM-capable U.S. workforce is that it leverages the talents of people at
all educaon levels and in all sectors. It not only includes tradional sciensts and engineers performing research in
university, government, or industry labs, but also “skilled technical workers” who can install, repair, debug, and build, but
who do not have four-year degrees.
10
Though somemes overlooked, the skilled technical workforce is large and diverse. These workers can be found in cies,
towns, and rural areas throughout the U.S. Esmates of the size of the skilled technical workforce vary from just over 6.1
million to over 16.1 million. The size of this workforce is growing. The composion of this segment of the U.S. workforce
closely mirrors U.S. populaon demographics. In 2015, about 13% of skilled technical workers in STEM jobs were black,
10% were Hispanic, 4% were Asian, and about 11% were foreign born.
11
These workers are a crucial component of almost every sector of the U.S. economy, ranging from “blue collar
occupaons, such as installaon, maintenance, and repair, to healthcare and computer occupaons. Skilled technical
workers are also crical to the operaon of our Naon’s research infrastructure. The Nobel-Prize winning discovery of
gravitaonal waves at NSF’s Laser Interferometer Gravitaonal-Wave Observatory (LIGO) would not have been possible
without the invaluable experse of the people who assemble and maintain the facilitys large and complex heang,
venlaon, vacuum, air condioning, and electronic systems.
Skilled technical jobs are in high demand and pay well. In 2015, the median earnings of skilled technical workers in S&E
($60,000) or S&E-related ($45,000) occupaons were signicantly higher than the median earnings in other occupaons
($29,000).
12
These occupaons are expected to have the fastest growth over the next decade.
13
Despite this, employers
in 80% of local areas said they had trouble lling jobs in occupaons that depend on skilled technical workers, according
to a survey conducted by the Government Accountability Oce.
14
Coordinated policies and investments aimed at
building and strengthening on-ramps into skilled technical careers will help address labor market demands, increase the
number of STEM-capable workers, and provide workers with the knowledge and skills needed to adapt to an evolving
workplace.
Groups Underrepresented in STEM
The Naonal Science Board believes that America’s demographic diversity is a disnct compeve advantage. Research
shows that diverse companies have beer strategies, are more innovave, and win economically.
15
Numerous enes,
including the Naonal Science Foundaon (NSF), have undertaken a myriad of iniaves spanning decades aimed at
leveraging the talents of all segments of our populaon, especially groups historically underrepresented in STEM. Yet, in
spite of some progress, crippling disparies in STEM educaon remain (Figure 2).
Although women have earned about half of all science and engineering (S&E) bachelors degrees since the late 1990s,
their levels of parcipaon vary widely across S&E elds (Figure 3). The proporon of bachelors degrees awarded
to women in high demand elds such as computer sciences (18%) and engineering (20%) remain low.
16
Overall,
while women occupy half of all jobs in the U.S. workforce, they constute slightly less than 28% of workers in S&E
occupaons.
17
The talents of minority groups in the U.S. are perhaps our greatest untapped resource. Hispanics, blacks, and American
Indians or Alaska Naves together make up 27% of the U.S. populaon age 21 and older, but only 15% of those who
hold their highest degree in S&E and 11% of workers in S&E occupaons.
18
The proporon of S&E bachelors degrees
awarded to blacks remained at at 9% between 2000 and 2015 (32,993 to 53,649).
19
These gaps are even more
pronounced at the doctoral level where blacks earned 4% of all S&E doctoral degrees awarded in 2015.
20
In 2015, blacks
accounted for 12% of the U.S. populaon 21 or older but only 5% of S&E job holders.
21
The negave consequences of
these gaps will only grow: according to a recent report, nearly 25% of black workers are concentrated in 20 occupaons
that are at high risk of automaon, such as cashiers, cooks, security guards, drivers, and administrave assistants.
22
2
The share of bachelors degrees in S&E awarded to Hispanics increased from 7% (27,980) to 12% (79,203) between 2000
and 2015.
23
Despite these gains, Hispanics accounted for 6% of employment in S&E occupaons in 2015, well below
their share of the U.S. populaon age 21 and older (15%).
24
The proporon of bachelors degrees earned by Hispanics
in high-demand elds such as computer science (10%) and engineering (10%) remain low.
25
The changing demographics
of the U.S. populaon will amplify the consequences of these gaps since increased enrollment in higher educaon is
expected to come mainly from minority groups, parcularly Hispanics.
Military veterans returning from deployment are another group whose skills are oen underulized. Many possess
technical training and have signicant experience with advanced technologies and systems.
26
Several iniaves focused
on academic advising, internships, networking services and peer support are underway to alleviate the roadblocks
that veterans encounter as they enter the civilian workforce.
27
To help inform these eorts, the Naonal Science
Foundaon’s Naonal Center for Science and Engineering Stascs is beginning to collect data that will reveal the
relaonship between educaon and career pathways for veterans with four-year degrees.
Attracting and Retaining the Best Internationally Mobile Students
Up to this point, our Naon has compensated for the failure to take full advantage of all segments of the populaon by
aracng the best students from around the globe. This is especially true at the graduate degree level, where foreign-
born
28
students earn over one-third of all U.S. STEM doctorates, including nearly half of the degrees in engineering and
computer science.
29
While the U.S. remains the top desnaon for internaonally mobile students, its share of these
students declined from 25% in 2000 to 19% in 2015 as other countries increasingly compete for them.
30
Our Naon’s ability to aract students from around the world is important, but our compeve advantage in this area
is fully realized when these individuals stay to work in the United States post-graduaon. The overall “stay rates” for
foreign-born non-cizens who received a Ph.D. from U.S. instuons have generally trended upwards since the turn of
the century, reaching 70% for both the 5-year and 10-year stay rates in 2015.
31
However, the percentage of new STEM
doctorates from China and India—the two top countries of origin—with denite plans to stay in the U.S. has declined
over the past decade (from 59% to 49% for China and 62% to 51% for India).
32
As other naons build their innovaon
capacity through investments in R&D and higher educaon, we must acvely nd ways to aract and retain foreign
talent and fully capitalize on our own cizens.
Building the U.S. Workforce of the Future Requires Our Collective Effort
STEM knowledge and skills will connue to play a crical role in fostering individual
opportunity and naonal compeveness. Strengthening a diverse STEM-capable
U.S. workforce that leverages the talents of all segments of our populaon has never
been more important. Considering the increasing demands placed on students,
workers, businesses, and government budgets, instuons must partner to build the
U.S. workforce of the future. These joint eorts are necessary in order to prosper in
an increasingly globally compeve knowledge- and technology- intensive world.
Governments at all levels should empower all segments of our populaon
through investments in formal and informal educaon and workforce
development throughout an individual’s life-span. This includes redoubling our
commitment to training the next generaon of sciensts and engineers through
sustained and predictable Federal investments in graduate educaon and basic
research.
NSF must continue to do its part.
In recognition of the
importance of catalyzing
cross-sector partnerships, NSF
launched the Inclusion across
the Nation of Communities of
Learners of Underrepresented
Discoverers in Engineering and
Science (INCLUDES) program
in 2016. INCLUDES aims to
expand the composition of
the STEM-capable workforce
by developing scalable ways
to grow the STEM-capable
workforce by building new
and strengthening existing
partnerships.
3
Businesses should invest in workplace learning programs–such as apprenceships and internships–that ulize local
talent. By leveraging partnerships between academic instuons and industry, such as those catalyzed by NSF’s
Advanced Technological Educaon Program (ATE), businesses will be less likely to face a workforce “skills gap.
Governments and businesses should expand their investments in community and technical colleges, which
connue to provide individuals with on-ramps into skilled technical careers as well as opportunies for skill renewal
and development for workers at all educaon levels throughout their careers.
To accelerate progress on diversifying the STEM-capable U.S. workforce, the Naon should connue to invest in
underrepresented segments of the populaon and leverage Minority Serving Instuons to this end.
33
Collecvely, we must proceed with urgency and purpose to ensure that this Naon and all our people are ready to meet
the challenges and opportunies of the future.
FIGURE 1: Gross domestic expenditures on R&D, by the U.S., China, and selected other countries: 2000–2015
EU = European Union; PPP = purchasing power parity
Notes: Data are selected R&D-performing countries and the EU. Data are not available for all countries for all years. Data for the United States in this gure
reect international standards for calculating gross expenditures on R&D, which vary slightly from the National Science Foundation’s protocol for tallying
U.S. total R&D.
Sources: National Science Foundation, National Center for Science and Engineering Statistics, National Patterns of R&D Resources (annual series); Organ-
isation for Economic Co-operation and Development, Main Science and Technology Indicators (2017/1); United Nations Educational, Scientic and Cultural
Organization Institute for Statistics Data Centre, data.uis.unesco.org, accessed 13 October 2017. Adapted from Figure 4-6, Science and Engineering Indicators
2018. (Also see Appendix Table 4–12.)
4
FIGURE 2: Share of S&E bachelor’s degrees among U.S. citizens and permanent residents: 2000-15
By race and ethnicity
Notes: National estimates were not available from the Scientists and Engineers Statistical Data System (SESTAT) in 2001.
Sources: National Science Foundation, National Center for Science and Engineering Statistics, SESTAT (1993–2013), https://www.nsf.gov/statistics/sestat/,
and the National Survey of College Graduates (NSCG) (2015), https://www.nsf.gov/statistics/srvygrads/. Adapted from Figure 3-27, Science and Engineering
Indicators 2018.
Notes: Hispanic may be any race. American Indian or Alaska Native, Asian or Pacic Islander, black or African American, and white refer to individuals who are
not of Hispanic origin.
Sources: National Center for Education Statistics, Integrated Postsecondary Education Data System (IPEDS), Completions Survey; National Science Founda-
tion, National Center for Science and Engineering Statistics, WebCASPAR database, https://ncsesdata.nsf.gov/webcaspar/. Adapted from Figure 2-12, Science
and Engineering Indicators 2018.
FIGURE 3: Women in S&E occupations: 1993–2015
5
1 Survey data collected using the Naonal Survey of College Graduates (NSCG) showed that 19,366,000 respondents stated that their job requires S&E technical
experse at the bachelors level. See Naonal Science Board, Science and Engineering Indicators 2018 (Alexandria, VA: Naonal Science Board, 2018), Table 3-3.
For more informaon on the NSCG, see hps://nsf.gov/stascs/srvygrads/#sd.
2 Jonathan Rothwell, “Dening Skilled Technical Work,” (Washington, DC: Naonal Academies, 2015). Retrieved from: hp://sites.naonalacademies.org/cs/
groups/pgasite/documents/webpage/pga_167744.pdf.
3 Indicators 2018, Appendix Table 2-35.
4 The pace of China’s increase in R&D performance (measured as expenditures) has been exceponally high over numerous years, averaging 20.5% annually over
2000–10 and 13.9% for 2010–15 (or 18.0% and 12.0%, respecvely, when adjusted for inaon). This represents an increase in gross expenditures on R&D and
expenditures for R&D (GERD) from $40.4 billion in 2000 to $371.6 billion in 2015 (2009 constant PPP $ billions). Indicators 2018, Appendix Table 4-12.
5 Indicators 2018, 6-5.
6 For example, between 2000 and 2010 South Korea experienced 11% average annual growth in R&D spending and 7.3% growth rate between 2010-15 (or 8.6%
and 5.5%, respecvely, when adjusted for inaon). South Korea now accounts for 4% of global R&D spending. Indicators 2018, Appendix Table 4-12.
7 According to the Bureau of Labor Stascs (BLS), the majority of net job openings (57%) and largest growth rate (15%) in NSF-idened S&E occupaons for
the period 2014-2024 are projected to be in computer and mathemacal science occupaons. Engineering occupaons, the second largest subcategory of
S&E occupaons, are expected to generate about one-fourth (27%) of all job openings in S&E occupaons during the same period. It is important to note that
projected changes in the labor force and employment do not necessarily imply a labor shortage or surplus. For more on BLS occupaonal projecons, see
hps://www.bls.gov/emp/.
8 Paul M. Romer, “Human capital and growth: Theory and evidence,Carnegie-Rochester Conference Series on Public Policy 32, no. 1 (Spring 1990): 251-286;
Eric A. Hanushek and Ludger Woessmann, “Do beer schools lead to more growth? Cognive skills, economic outcomes, and causaon,Journal of Economic
Growth 17, no. 4 (December 2012): 267-321.
9 Other crical capabilies include communicaon skills, the ability to work in teams, and problem solving and crical thinking skills.
10 In November 2017, the Naonal Science Board established a Task Force on the Skilled Technical Workforce. For more informaon, see hps://nsf.gov/nsb/
commiees/stwcmte.jsp.
11 In 2015, the corresponding shares among workers in STEM occupaons with four-year degrees were 7% black, 6% Hispanic, 17% Asian, and 24% foreign born.
Indicators 2018, 3-84.
12 Indicators 2018, 3-84.
13 For more informaon on employment projecons published by the Bureau of Labor Stascs, see hps://www.bls.gov/emp/ep_table_103.htm.
14 For example, employers had trouble lling jobs in the following occupaonal categories: Installaon, Maintenance, and Repair; Construcon and Extracon;
Healthcare Praconers and Technical Occupaons; Producon; and Computer and Mathemacal Occupaons. In the report, the term “local areas” refers to
the areas overseen by both local and statewide Workforce Investment Boards (WIBs). For more informaon, see hps://www.gao.gov/assets/660/659322.pdf.
15 See Robin J. Ely and David A. Thomas, “Cultural Diversity at Work: The Eects of Diversity Perspecves on Work Group Processes and Outcomes,Administrave
Science Quarterly 46, 2 (June 2001): 229-273; David A. Thomas, “Diversity as Strategy,Harvard Business Review 89, no. 9 (September 2004): 98; Sylvia Ann
Hewle, Melinda Marshall, and Laura Sherbin, “How diversity can drive innovaon,Harvard Business Review 91, no. 12 (December 2013): 30; Vivian Hunt,
Dennis Layton and Sara Prince, Diversity Maers (McKinsey & Company, 2015). Retrieved from: hps://www.mckinsey.com/business-funcons/organizaon/
our-insights/why-diversity-maers.
16 Naonal Science Foundaon, Women, Minories, and Persons with Disabilies in Science and Engineering (Arlington, VA: Naonal Center for Science and
Engineering Stascs, 2017). Retrieved from: hps://www.nsf.gov/stascs/2017/nsf17310/digest/about-this-report/.
17 Indicators 2018, 3-8.
18 Indicators 2018, 3-8.
19 Indicators 2018, Appendix Table 2-22.
20 Indicators 2018, Appendix Table 2-32.
21 Indicators 2018, Table 3-19.
22 Spencer Overton,The Impact of Automaon on Black Jobs,” (Washington, DC: Joint Center for Polical and Economic Studies, 2017). Retrieved from: hp://
jointcenter.org/sites/default/les/The%20Impact%20of%20Automaon%20on%20Black%20Jobs.pdf. For the impact on innovaon, see David Leonhardt, “Lost
Einsteins: The Innovaons We’re Missing,New York Times, 3 December 2017. Retrieved from: hps://www.nymes.com/2017/12/03/opinion/lost-einsteins-
innovaon-inequality.html.
23 These rates are for U.S. cizens and permanent residents as a proporon of all earned bachelor’s degrees awarded in S&E. Indicators 2018, Appendix Table 2-22.
24 Indicators 2018, 3-116.
25 Indicators 2018, Appendix Table 2-22.
26 Numerous programs designed to maximize employment opportunies for veterans have focused on helping veterans transion from the military to the civilian
workforce. These programs range from changes to the GI Bill, the Transion Assistance Program, and Vocaonal Rehabilitaon and Employment services. For an
overview of the range of transion programs for veterans as well as key challenges, see Naonal Academies, “Building America’s Skilled Technical Workforce,
(Washington, DC: Naonal Academies Press, 2017), 115-121.
27 See H.R.3218 - Harry W. Colmery Veterans Educaonal Assistance Act of 2017, hps://www.congress.gov/bill/115th-congress/house-bill/3218/
text?q=%7B%22search%22%3A%5B%22hr+3218%22%5D%7D&r=1.
28 Foreign-born is a broad category, ranging from long-term U.S. residents with strong roots in the United States to recent immigrants who compete in global job
markets and whose main social, educaonal, and economic es are in their countries of origin.
29 Indicators 2018, Appendix Table 2-29.
30 According to data from UNESCO/UIS, the number of internaonally mobile students who pursued a higher educaon degree more than doubled between 2000
and 2014, to 4.3 million. For discussion of internaonally mobile students see Indicators 2018, 2-96.
31 Long-term stay rates indicate the degree to which foreign-born non-cizens recipients of U.S. S&E doctorates enter and remain in the U.S. workforce to pursue
their careers. The 10-year and 5-year stay rates in 2015 refer to the proporon of 2005 and 2010 graduang cohorts, respecvely, who reported living in the
United States in 2015. See Indicators 2018, Table 3-27.
32 Indicators 2018, Appendix Table 3-21.
33 Minority Serving Instuons include Historically Black Colleges & Universies (HBCUs), Hispanic Serving Instuons (HSIs), and Tribal Colleges and Universies
(TCUs).
Endnotes
National Science Board [email protected] | 703.292.7000
NSB Indicators Resource Page | nsf.gov/nsb/sei
National Science Foundation
nsf.gov/statistics/indicators | NSB-2018-7
6