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.

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.

The U.S. unemployment rate is near its 50-year low, but the portion of the population in the labor force is also near a 40-year low.

For states and metropolitan areas across the country, cultivating a skilled and educated workforce is a critical part of economic development. In 2017, metropolitan areas anchored by major research universities – regions like Boulder, Ann Arbor, and Corvallis – had the highest share of adults 25+ with at least a bachelor’s degree, according to an SSTI analysis of recent census data.

From 2000 to 2017, the share of the U.S. population with a bachelor’s degree (or higher) increased from 24 percent to 31 percent. Meanwhile, the share of the population with a high school education (or less) decreased from 48 percent to 40 percent. All states experienced these directional changes in educational attainment. State performance relative to other states was relatively static, particularly for those performing best and worst in 2000, with few changes in the rankings of states by share of the population with a bachelor’s degree.

As the largest public funder of biomedical research in the world, NIH awards are of particular importance to the technology-based economic development community. Including new data for FY 2017 and FY 2018, this edition of Useful Stats serves as an update to an August 2017 article highlighting NIH awards by state over the past decade. In FY 2018, NIH awarded a total of $28.3 billion in funds to the 50 states and territories.

Home to the Research Triangle Park and top-tier research universities like Duke University and the University of North Carolina at Chapel Hill, the Durham-Chapel Hill metropolitan area led all regions in per capita NIH funding in FY 2018 and placed sixth in total funding that year, according to a new analysis by SSTI. This edition of Useful Stats looks at all NIH awards at the regional level over the five-year period between FY 2014 and FY 2018.

Despite its limitations, publicly available data on research and development (R&D) expenditures remains one of the best metrics for measuring state progress in the innovation economy. Defined as the sum of multiple National Science Foundation (NSF) measures – including business and industry R&D, higher education R&D, and R&D at federally funded centers – total R&D has skyrocketed nationwide over the past 15 years, though some states have experienced an outsized portion of this growth.

This month, SSTI research has examined changes in total R&D and total R&D intensity for each state over a 15-year period from 2002 to 2016. In this final installment of the series, this article looks at how the performance of R&D in the states changed over time.

How has the intensity of research and development (R&D) performance changed across states and over time? As a follow up to an article in last week’s Digest that examined changes in total R&D expenditures for each state over the 15-year period from 2002 to 2016, this week’s Useful Stats focuses on R&D intensity.

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.

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.

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.

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.

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.

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.

For the first time, the U.S. Bureau of Economic Analysis has released prototype gross domestic product (GDP) data at the county level. This preliminary data, which includes the years 2012 to 2015, provides a granular look at county-level productivity. Furthermore, standardizing this data by population – GDP per capita – makes it a useful metric for comparing counties over time and across the country.  From 2012 to 2015, per capita GDP grew in 82 percent of counties.

Higher education R&D expenditures (HERD) grew by 38.9 percent from 2008 to 2017, an increase of more than $21 billion, according to an SSTI analysis of recently released data from the National Science Foundation’s National Center for Science and Engineering Statistics. From 2016 to 2017, HERD grew by $3.8 billion, the largest year-over-year increase since 2010-2011.

Many regional economic development strategies emphasize employment in manufacturing or high-tech, as these industries tend to provide well-paying jobs. Through an analysis of American Community Survey five-year data for 2013-2017, SSTI assessed state-level employment concentration within these sectors.

Understanding enrollment trends at the nation’s institutions of higher education — an important indicator of the knowledge capital and skilled workforce available to local innovation economies — is paramount in developing appropriate strategies to bolster local and regional innovation and entrepreneurship. While many institutional reports cover only one or a few years’ worth of enrollment data, evaluating long-run trends can help policymakers and program designers identify issues that might otherwise be hidden, enabling the development of more effective policies and programs.

Recession can drive increases in entrepreneurship as laid off workers look for other opportunities and start their own businesses. Increases in business startup activity throughout the 2020 recession were greater than any time in the 15 years prior. This edition of Useful Stats examines data from the Census Bureau’s Business Formation Statistics (BFS) series covering business initiation activity as indicated by applications for an Employer Identification Number (EIN).

Understanding the industry-level dynamics of business and job creation can help pinpoint which industries in regional economies may be hotspots for innovation activity.

Enrollment in the nation’s institutions of higher education is an important indicator of the knowledge capital available to local innovation economies. This edition of Useful Stats explores enrollment data from the recently updated National Student Clearinghouse Research Center (NSCRC) report , Current Term Enrollment Estimates, covering spring term enrollment trends at degree-granting institutions of higher education.

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.

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.