useful stats

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.

Consideration of a state’s trends in the distribution of SBIR awards by federal agency may help program leaders and policy makers optimize the design and performance for state and regional support of innovation-based startups. For instance, knowing which federal agencies provide the dominant share of awards in a state can inform a program’s marketing and outreach efforts, and, more importantly for the startups being assisted, it can guide recruiting the right mix of mentors and knowledge assets to a program’s technical assistance capabilities. The data also can inform efforts to attract investors and potential customers with similar alignment of interests with companies in a state’s SBIR portfolio. SSTI’s focus this week on the agency distribution of SBIR awards by state over the past decade reveals some interesting insights. Next week we will take a deeper dive into the data and examine awardee distribution trends at the regional level.

An exclusive SSTI analysis reveals that for the 10-year period from 2009 to 2018, two federal agencies were the top contributors to SBIR/STTR spending in every state and the District of Columbia. The Department of Defense (DoD) accounted for the greatest SBIR/STTR spending in 29 states while the Department of Health and Human Services (HHS) was the greatest funder in 22 states. This trend remains the same when including 2019 award data, although it is important to note that as of the writing of this article, DoD’s complete 2019 SBIR/STTR data was not available.

While business investments towards research and development have varied among states, the overall trend throughout the country has been a positive one. Business R&D funding has weathered two recessions over the past 20 years, with many states seeing investments grow beyond their pre-recession levels. While the scope of COVID-19’s economic impact continues to grow, business R&D investment has shown a strong history of recovering from, and building beyond, national financial downturns.

The total number of science and engineering (S&E) degrees awarded grew from 520,474 in 2000 to 955,401 in 2018, an increase of 83 percent, according to National Science Foundation (NSF) data. The portion of S&E degrees awarded compared to all degrees has increased as well, from a 2000 average of 31 percent of all degrees awarded to an average of 34 percent in 2018. S&E degrees includes bachelors, masters and doctoral degrees in areas such as life sciences, physical sciences and engineering.

The largest increases in per capita income for metropolitan and micropolitan statistical areas (MSAs) within the United States have occurred primarily within the Western, Mountain and Great Lakes states, according to data recently released by the Bureau of Economic Analysis. Nearly every MSA experienced greater income levels in 2018 when compared to their 10-year average. More than 180 out of 385 MSAs experienced an income increase of greater than 10 percent in 2012 dollars, while only two MSAs (Enid, OK and Clarksville, TN-KY) measured lower income in 2018 than over their 10-year average.

As the world begins to emerge from the “Great Lockdown” and governments increasingly turn their efforts towards reopening economies, many will look to past recessions for lessons on recovery. This edition of Useful Stats examines the rate of real GDP recovery by state following the recessions of 2001 and 2008.

This edition of Useful Stats examines — by state and over the period from 2000 to 2018 — how many new establishments were founded, how many jobs these new establishments created, how many establishments closed, and how many jobs were lost from those closing establishments. In only one year, the last year of the period, 2018, all states experienced positive net gains in employment and establishments, based on data from the Bureau of Labor Statistics. As shown in the interactive map below, the states that had the greatest number of new establishments in 2018 were California (63,073), Florida (31,063), Texas (28,079), Washington (20,525), and New York (13,967). The states that experienced the greatest net employment numbers in 2018 were California (177,061), Florida (117,746), Texas (115,624), Washington (45,394), and New York (44,045).

Although changes in gross domestic product (GDP) give us an idea of how economies are changing, this measure fails to tell the full story. This edition of Useful Stats examines county-level GDP-per-capita, the measure of economic output for each resident in an area. What we see is strongly skewed data with high 2018 GDP-per-capita levels and high 10-year growth rates concentrated primarily in low population-high output counties. We also see that rural populations have declined over the period while metropolitan areas have grown, yet the median GDP-per-capita growth rates between the groups are essentially the same.

Building on SSTI’s recent analysis of county-level GDP by industry, this edition moves beyond a single year and examines the changes in real — adjusted for inflation — county GDP and the changes in industry-specific contributions to county GDP for the 10-year period from 2009 to 2018. As shown in the interactive map below, the total 10-year growth rate for counties averaged approximately 21 percent.