useful stats

Taking a deeper dive into R&D expenditures at U.S. institutions of higher education, this week’s edition of Useful Stats examines the fields in which this R&D was performed at the metropolitan level in 2018. Expanding on a previous SSTI report showing that R&D activity at universities and colleges is clustered heavily on the coasts, this analysis uses the NSF’s Higher Education R&D (HERD) data on the research expenditures at individual institutions to determine how this funding is distributed among the various fields of study, with life sciences outpacing all other fields.

As shown in the map below, HERD expenditures in the life sciences (primarily the biological, biomedical, and health sciences) accounted for the vast majority of all higher education R&D activity in the U.S. — accounting for 57.8 percent ($45.8 billion) of the total performed in 2018. Engineering R&D was a distant second, accounting for 15.6 of the total.

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.

This week’s edition of Useful Stats covers Higher Education Research & Development (HERD) expenditures at the metropolitan level, pulling from the recent NSF updates to its HERD performance data. High levels of college and university R&D activity is not surprisingly clustered heavily in the East Coast — ranging from the District of Columbia up to Boston — and on the West Coast in California. The 10-year average HERD expenditures were the greatest in the New York-Northern New Jersey metro area ($3.7 billion), Boston ($2.8 billion), Baltimore ($2.8 billion), Los Angeles ($2.6 billion), and Houston ($2.0 billion). These five metro areas account for nearly 21 percent of the nation’s total 10-year average R&D spending by universities and colleges. Of the 209 metro areas included in this analysis — and excluding nonmetropolitan areas — the top 15 metros account for approximately 45 percent of the 10-year average of total HERD expenditures.

While rankings and annual indices are catnip for some looking to gain attention for their latest rankings, SSTI has always argued that it’s long-term trends that give the best sense of where a state or region stands. With recent release of income data, SSTI has examined the last 34 years data in median household income for each state. SSTI found that while median household income — adjusted to 2018 dollars — has risen in nearly every state and the U.S. since 1984 with an average annual rate of increase of 0.8 percent, the growth, not surprisingly, varies widely among individual states.

For years, there have been arguments back and forth on which companies are the greatest job creators. The argument began with advocates for small businesses saying that small businesses were the engine of job creation. In recent years, others have argued that it’s not the size of the business that’s significant so much as the age of the business and that it’s young businesses that create most of the jobs.

Analysis by SSTI of Census Bureau’s Business Employment Dynamics (BDM) data finds a more nuanced picture when examining states’ shares of net job creation by firm age.