useful stats

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.

Across the U.S., the federal government provided 53 percent of R&D funding at institutions of higher education in FY 2018. Those institutions provided 26 percent of the funding themselves, and most of the remainder was provided by a mix of nonprofit organizations (7 percent), industry (6 percent), and state and local government (5 percent). The specific contributions varied from state to state, however, with some relying more on specific relationships to support R&D within the state.

Expenditures in higher education R&D (HERD) grew in FY 2018, increasing by $4.1 billion over FY 2017, the largest year-over-year increase since FY 2010-2011 according to an SSTI analysis of recently released data from the National Science Foundation’s National Center for Science and Engineering Statistics. For the 10-year period from FY 2009 to FY 2018, HERD grew by 38.4 percent nationally, representing an increase of nearly $22 billion. Higher education R&D expenditures grew the fastest over this 10-year period in the District of Columbia (78.2 percent), Connecticut (65.5 percent), Washington (59.5 percent), and Utah (59.3 percent). The largest absolute gains over the same period were seen in California ($2.5 billion increase), New York ($2.3 billion), and Pennsylvania ($1.6 billion). The map below shows the one-, five- and 10-year percentage changes in each state’s higher education R&D expenditures.

From 2006 to 2018, income inequality has risen continuously both nationwide and in all states (but not in the District of Columbia). Annual changes vary widely for state income inequality, with some states experiencing increases year after year, and others displaying more volatile trends consisting of both sharp annual decreases and increases. This edition of SSTI’s Useful Stats examines trends in the Gini index —a measure of household income inequality that increases as the distribution of income becomes more concentrated within a smaller share of the population — at the state level from 2006 to 2018.

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.

Business R&D activity has been historically concentrated in a few states and became even more so in 2017, according to a National Science Foundation issue brief on the latest Business Research & Development and Innovation Survey (BRDIS). Despite finding total business R&D surpassed $400 billion in 2017, reflecting a 6.8 percent increase over 2016 results, NSF’s data also reveals R&D activity in five states alone – California, Massachusetts, Michigan, Washington and Texas – captured well over half of all of the nation’s business R&D investment in 2017. These top states represented 55.2 percent of the total in 2017, while five years earlier their share was “only” 49.4 percent of the reported results.

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.

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. Boston led all regions in total NIH funding in FY 2018, while NIH funding in the Washington, D.C., region increased by the greatest percentage over the five-year period among major metropolitan areas.

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. Of the total amount awarded in 2018, slightly less than two thirds (65.3 percent) went to the top 10 states. This share is slightly lower than in 2017 (65.6 percent), the same as in 2014 (65.3 percent) and slightly higher than in 2009 (66.1 percent).