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.

Business research and development (R&D) intensity — private sector R&D expenditures as a percentage of total gross domestic product (GDP) — is an indicator of how interested businesses are in creating new products and processes. This edition of Useful Stats expands upon previous SSTI analyses of business R&D and applies the more standardized measure of “R&D intensity” to provide additional context on the private sector’s activities within states.

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.

This edition of SSTI’s Useful Stats begins a series of articles examining recently updated Gross Domestic Product (GDP) data for 2020, identifying changes in GDP per capita during the first year of the economic impacts from the Covid-19 pandemic, and setting the stage for future articles diving deeper into the impacts of the pandemic on local economies. Specifically, this analysis focuses on the annual percent change from 2019 to 2020 in county-level GDP per capita (calculated as total county GDP divided by total county population) using comprehensive geographical data from the Bureau of Economic Analysis (BEA) and population data from the Census Bureau.

An SSTI analysis of business R&D employment data from the National Science Foundation’s recently updated 2019 Business Enterprise R&D (BERD) Survey finds that nationally in 2019, R&D employment at private businesses accounted for 8.6 percent of total employment. The states where the business R&D employment shares of total employment were the greatest in 2019 were Washington (20.9 percent); Massachusetts (19.3 percent); California (17.7 percent); New Hampshire (14.7 percent); and Michigan (12.7 percent). The analysis builds on our previous examination of business R&D expenditures and focuses on R&D employment at private businesses and the level of total business R&D expenditures per R&D employee by state in 2019.

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.

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.

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.

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.

This edition of Useful Stats explores data from the U.S. Patent and Trade Office (USPTO) on new utility and plant patents granted in the U.S. by state/territory for the five-year period from 2016 to 2020. This analysis includes only utility and plant patents as these types are those associated with the invention of new products and services, and excludes reissued patents and those issued for purely aesthetic designs.

State patent activity is a good indicator of the health of local innovation economies. Patents for innovative products and processes are issued to inventors across academia, industry, and the public sector, and the number of these new patents issued in states over time can provide insights into the strengths of these sectors and how well they are collectively able to bring innovative technologies out of the lab and, potentially, to market. Understanding this patent activity can help program and policy designers in local innovation economies in evaluating, enhancing, and developing their initiatives.

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.

This edition of Useful Stats examines the Bureau of Economic Analysis’ first full release of county-level gross domestic product (GDP) data. Specifically, this analysis considers total county GDP in 2018 and the contributions to each county’s GDP by industry.

While finance and insurance in New York ($222.5 billion) accounted for the single largest contribution to both total county GDP and total U.S. GDP in 2018 — followed by real estate and rental and leasing in Los Angeles ($150.2 billion) — the manufacturing sector was the highest contributor to county GDP in the greatest number of counties. Manufacturing was the primary source for county GDP in 927 out of more than 3100 counties — accounting for nearly $2.3 trillion of total U.S. GDP in 2018. Government and government enterprises (768 counties) accounted for the second most frequent leader in county GDP contributions — totaling $2.4 trillion nationally — followed by real estate and rental and leasing (647 counties) — totaling $2.7 trillion nationally. The next closest industry was agriculture, forestry, fishing and hunting which was the top contributor to GDP in only 209 counties — and only accounting for a national total of $138.4 billion.

The map below shows counties with manufacturing, government, real estate, mining, and agriculture  as their predominant industry. The map shows that manufacturing is the leading industry in counties in the Midwest and South while agriculture is centered primarily within the Plains region.