Useful Stats

In fiscal year 2021, the nationwide success rate of applicants for National Institutes of Health (NIH) Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Phase I awards decreased slightly from FY 2020. This continued a downward trend over recent years. The success rate for NIH SBIR/STTR Phase I was nearly 13 percent (647 of 5,132 approved) in FY 2021, a decrease from nearly 14 percent (636 of 4,684 approved) in FY 2020 and from nearly 16 percent for all proposals submitted over the past decade.

SSTI’s analysis for this article is based on SBIR/STTR application and award data recently released by NIH.

Between 2017 and 2021, 23 percent of proposals submitted to NASA for Phase I SBIR/STTR funding were approved (1,887 awards from 8,360 proposals). The acceptance rate for Phase II proposals, which are generally encouraged or discouraged based on Phase I outcomes, was 58 percent (791 of 1,359 approved).

The number of Phase I proposals varies greatly by state. At the upper end of the range, California-based companies submitted approximately 22 percent (1,847) of all Phase I applications to NASA, and Colorado-based companies submitted 8.6 percent (719). At the other end of the range, South Dakota and Puerto Rico both saw only 1 proposal each, while no company in Alaska, Iowa, Nebraska, or North Dakota submitted a proposal to NASA during this five-year period.

Between March and April of 2020, the United States saw a massive drop in employment due to the COVID-19 pandemic: from approximately 151 million employees to fewer than 131 million. More than two years since the beginning of the pandemic, surveys suggest a near-complete recovery to pre-pandemic employment levels. Data from the U.S. Bureau of Labor Statistics (BLS) through March 2022 (the most recent final data published by BLS) reveal an average decrease of just 1 percent in employment across the country as whole since February 2020. While the U.S. is approaching full employment recovery at the national level, 36 states and D.C. continue to lag while 14 and Puerto Rico have surpassed their pre-pandemic employment.

As of March 2022, 21 states and territories are within 1 percent of their pre-pandemic employment.

After declines in 2016 and 2017, the number of graduate students and postdoctoral appointees at the nation’s institutions of higher education increased nationally from 2018 to 2020, according to National Science Foundation (NSF) data from its Graduate Students and Postdoctorates in Science and Engineering (GSS) survey. However, this SSTI analysis shows considerable variation among the states over the five-year period from 2016 to 2020. Evaluating long-term trends in S&E graduate students and postdocs can help policymakers and program designers identify potential issues, enabling the development of more effective policies and programs.

This edition of Useful Stats presents an SSTI analysis for the number of SBIR/STTR awards from 2011 to 2020 (the most recently available complete data), examining which agencies make the most awards in each state and how each state’s composition of awards compares to the national profile.

Two federal agencies made the greatest number of SBIR/STTR awards in nearly every state. The U.S. Department of Defense (DoD) accounted for the greatest number of SBIR/STTR awards in 35 states (including the District of Columbia), growing from 29 states as identified in a previous SSTI analysis for the 10-year period from 2009-2018. The U.S. Department of Health and Human Services (HHS) made the most awards in 15 states over the 10-years from 2011 to 2020, decreasing from the 22 states for the previously examined 10-year period, while the National Science Foundation made the most total awards in two states/territories for the combined 10-year period from 2011 to 2020.

Despite the shutdown of many business and government activities during the first year of the COVID-19 pandemic, the total number of SBIR/STTR awards made to innovation-focused companies continued to increase over record-breaking 2019 levels, rising 3.7 percent. This edition of SSTI’s Useful Stats examines the total number of SBIR/STTR awards and the top awarding agency by state in 2020.

Continuing a streak lasting at least 10 years, the federal government was again the top funder of Higher Education R&D (HERD) in 2020. However, new SSTI analysis shows that the federal share of HERD funding has continued to decline nationally and in most states over the 10-year period from 2011 to 2020. This edition of SSTI’s Useful Stats provides an analysis of HERD funders by state in 2020, and an examination of 10-year trends for the period from 2011 to 2020 in HERD funding by source.

Building on previous SSTI analysis showing that Higher Education Research & Development (HERD) expenditures increased across the U.S. despite the onset of the COVID-19 pandemic, this edition of Useful Stats examines the distribution of R&D spending among the various fields of research at the nation’s colleges and universities. Specifically, this analysis examines 2020 HERD expenditures by state and field of research, finding that the life sciences continued to dominate academic R&D activity, accounting for 57.5 percent ($49.6 billion) of total HERD spending. Engineering was the second most funded research field in 2020, accounting for 15.9 percent ($13.7 billion) of the national total. The third most funded research field was physical sciences, accounting for 6.6 percent ($5.7 billion) of total U.S. HERD expenditures.

This edition of SSTI’s Useful Stats explores Gross Domestic Product (GDP) of the nation’s urban areas and the top industry contributors to GDP in these areas. Specifically, this analysis explores both metropolitan area (defined by the Office of Management and Budget as areas with an urban core of more than 50,000 population) and micropolitan area (defined as areas with an urban core of between 10,000 and 50,000 population) GDP in 2020, as well as the top contributing industry to area GDP.

As total Higher Education Research & Development (HERD) expenditures increased nationally and in most states from 2019 to 2020 despite the COVID-19 pandemic and global recession, HERD intensity also increased. HERD intensity is an indicator of the relative importance of R&D spending by colleges and universities to regional economies, and is calculated as HERD expenditures as a percentage of total gross domestic product (GDP). This edition of Useful Stats expands on previous SSTI analysis of total HERD expenditures in 2020 (the most recent figures available), specifically examining HERD intensity by state for the five-year period from 2016 to 2020.

While the overall U.S. venture capital market has drawn headlines for record-breaking total investment levels in 2021, the story has been far different for smaller deals. Data currently suggests a decline in deals under $1 million, and only modest growth for deals under $5 million. The final data may tell a slightly different story,[1] but the level of activity at the smaller end of the spectrum is clearly quite different than what is driving market coverage. Of the $335 billion in angel, seed and venture capital deals PitchBook has identified for 2021, more than 10 percent went to deals of $1 billion or more and almost 60 percent to deals worth at least $100 million.

Small investments are important for regional economies to track so that they can understand their pipeline of companies that can fuel innovation and job creation, beyond the handful (in most states) that attract headlines.

This week’s edition of Useful Stats examines the contributions to county-level GDP in 2020 by industry group. Specifically, this analysis identifies the industries that contributed the most to the economic output of each county in 2020, as well as examining the annual percent changes in industry contribution to county GDP over the previous year. Most industries experienced declines brought on by the economic recession of 2020, although some experienced growth. In 2020, the real estate and rental and leasing; professional and business services; government and government enterprises; and manufacturing 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.