Useful Stats

The overall employment outlook for the recipients of doctorate degrees earned at U.S. institutions has improved from 2015 to 2019, while the research activities conducted by these highly trained and educated individuals has started to shift away from basic and applied research activities towards activities focused on design and development. Doctorate recipients play an essential role in developing the knowledge base leveraged in creating new technologies and companies in the innovation economy. Understanding the employment trends of this vital group can help in crafting programs and policies to strengthen local innovation economies.

Pulling from the NSF’s recently updated Survey of Doctorate Recipients, this edition of Useful Stats provides an analysis of labor force participation, unemployment, and involuntarily working out-of-field rates of doctorate recipients with degrees earned at U.S. institutions and who still live and work in the United States. This analysis also considers the shares of employed doctorate recipients who primarily conduct Research and Development (R&D) activities at their jobs.

Labor Force

Although the nation’s nonmetropolitan economies are less reliant on the R&D activity performed by institutions of higher education than the economies of urban areas, researchers in some rural areas show levels of higher education R&D (HERD) expenditures per R&D employee that are on par, or even exceed, their urban counterparts. Policy makers may wish to consider and prioritize the relative “outsized” importance of HERD funding and related research personnel in future policy decisions and public investments that are geared toward select smaller communities and rural places. For instance, innovation-oriented entrepreneurship concentrates around R&D-rich, knowledge centers, and this data indicates that there are non-metropolitan areas that fit that description.

The R&D performed at colleges and universities is an important driver for the innovation economy — generating new knowledge, spurring invention, training STEM talent, and supporting economic development. This edition of SSTI’s Useful Stats analyzes metropolitan-level data for 2019 from the National Science Foundation on higher education R&D (HERD) expenditures and personnel. Nearly 981,000 individuals in higher education across the U.S. were classified as R&D personnel in 2019. As shown by the green shading in the interactive map below, the metropolitan areas with the greatest total number of HERD personnel in 2019 were Baltimore, Maryland* (44,323); New York-Newark-Jersey City (43,103); Los Angeles-Long Beach-Anaheim, California (35,796); Boston-Cambridge-Newton (35,587); and Philadelphia-Camden-Wilmington (27,147).

States often estimate their participation in the Small Business Innovation Research (SBIR) program by counting the number of awards made, total of award value, or (when available) the success rate of applications in their state. In this edition of SSTI Useful Stats, we attempt to go beyond these measures to estimate states’ untapped potential for capturing future SBIR awards. This creates a baseline proxy for tailoring and assessing a state’s outreach and support activities.

While the traditional measures of SBIR participation are important, only the success rate begins to reveal potential future growth for a state’s SBIR participation. Another approach is to estimate the participation rate in SBIR among companies that are similar to a typical SBIR awardee. Of course, identifying “similar” firms is a challenge, as there are many factors that determine which companies are willing and able to participate in the program.

Metropolitan areas in the U.S. with fewer than 370,000 residents are more likely to be more economically reliant on R&D performed by colleges and universities than larger metros, according to new SSTI analysis. Three data points are used to consider how R&D at institutions of higher education is impacting a region’s economy: NSF’s Higher Education R&D (HERD) data on expenditures at individual institutions; metro area Gross Domestic Product (GDP) data from the Bureau of Economic Analysis; and population estimates from the Census Bureau. The resulting analysis shows that despite larger metro areas producing a greater total amount of HERD, they are typically less reliant on these expenditures directly powering their economies.

Given higher education’s role in generating the knowledge that catalyzes innovative new technologies developed by high-growth startups, R&D conducted at institutions of higher education is one of the most important metrics for evaluating an area’s innovation economy. This edition of Useful Stats examines NSF’s recently updated Higher Education R&D (HERD) survey, finding that most states, although not all, experienced growth in HERD expenditures from 2018 to 2019. This analysis also examines 2019 state HERD expenditures by R&D field, finding that life sciences accounted for the lion’s share of HERD spending in every state except Alaska, typically followed by either engineering; the physical sciences; or the geological, atmospheric, and ocean sciences.

Industry investment in research and development (R&D) indicates, literally, how invested each state’s businesses are in creating new products and processes. To better-understand industry’s commitment to innovation, business R&D can be viewed as a percentage of each state’s private sector gross domestic product (GDP), providing a measure of research intensity. This measure highlights substantial differences in the orientation of states’ businesses toward research, with some states seeing an investment rate of less than 1 percent while others are above 5 percent. The metric further reveals a broad trend that businesses in many states have stagnated their investments in R&D relative to the overall performance of the economy.

This week’s edition of Useful Stats examines the contributions to county-level GDP in 2019 by industry group. Specifically, this analysis identifies the industries that contributed the most to the economic output of each county in 2019, finding that the real estate and rental and leasing; manufacturing; and government and government enterprises industry groups were vital economic drivers in terms of both their contributions to national GDP as well as the number of counties where they were the top contributor.

The analysis also shows that the finance and insurance industry group and the professional, scientific, and technical services industry group were each top contributors to national GDP but were the top industry in relatively few counties, while the agriculture, forestry, fishing and hunting industry group and the mining, quarrying, and oil and gas extraction industry group were both ranked relatively low nationally but were top contributors to GDP in a significant number of counties.

A large majority (nearly 87 percent) of U.S. counties showed growth in their gross domestic product (GDP) from 2018 to 2019, according to an SSTI analysis of data from the U.S. Bureau of Economic Analysis (BEA). GDP is the measure for the total value of goods and services produced in an area, and is one of the primary economic indicators used by researchers and policymakers. This edition of Useful Stats examines the recently updated (BEA) data and provides an analysis of 2019 total county GDP, 2019 county GDP per capita, and the percent change in each measure from 2018 to 2019.

Deals raising at least $50 million grew by nearly one-quarter in 2020, driving an additional $18 billion in deal value to a new record of $156 billion invested. This data, from the PitchBook-NVCA Venture Monitor, suggests that the total venture capital market will see a slight decline in investment deals overall from 2020.[1] This slip in deal activity is driven by what is currently an 11 percent decline in seed or angel deals and a 20 percent decline in early venture capital deals.

This national trend held for many of the states in the country. Half of the states saw more money invested in 2020 than in 2019, with a 13 percent increase across the country in the year. Again, this investment volume occurred despite fewer deals in 2020 in all but 13 states. The states with more deals were Connecticut (+22 deals), Georgia (+3), Iowa (+13), Maine (+9), Massachusetts (+17), Michigan (+10), Missouri (+2), North Carolina (+18), Ohio (+4), Rhode Island (+4), West Virginia (+1), Wisconsin (+4) and Wyoming (+2).

A thriving innovation economy requires a robust R&D enterprise — with participation by academia, government, and the private sector. As a substantial performer and funder of R&D in the United States, the strength of private industry’s R&D activity in a region can provide an indication of the region’s capacity for bringing innovative technologies to market. Using data from the recent release of the National Science Foundation’s 2018 Business Enterprise R&D Survey, this SSTI analysis shows that while total R&D performed domestically by private companies in 2018 increased over 2017, as did the share of the R&D that was paid for by companies, this was not the case for all states.

An important element of a region’s innovation community is its knowledge capital, and one way to try to determine a locality’s knowledge capital is to examine the number of individuals receiving research-based doctorate degrees in the science and engineering (S&E) fields. The National Science Foundation (NSF) recently updated their Survey of Earned Doctorates with data for the 2018-2019 academic year. For the period ranging from July 1, 2018 to June 30, 2019, the number of total PhDs awarded increased nationally by 1.1 percent over the previous academic year to 55,703. The update also shows that the number of degrees awarded to recipients in S&E fields was 42,980. SSTI’s analysis explores the total number of S&E PhDs awarded per state, as well as the number of S&E PhDs per 100,000 state population.