Useful Stats

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.

The portion of a state’s employment based high-tech sectors ranged from 3.8 percent to 13.6 percent (or 14.4 percent for D.C.), from 2013-2017 (see “methodology” for a detailed description of what industries are included). Nationally, approximately 8.2 percent of the public is employed in high-tech industries.

The distribution of states is slightly skewed, with 35 states below the national benchmark and 16 states (and D.C.) above 8.2 percent. Washington (13.6 percent), Massachusetts (13.1 percent), Virginia (12.3 percent), and Colorado (12.0 percent) are at the high end of the spectrum. The concentration of state employment share in the high-tech sector is visible in the map, below.

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. Because business expansion is difficult during periods of extremely low unemployment, a key economic development question is how much the labor force participation rate may increase — bringing more potential employees to the job market and easing the hiring crunch for employers.

An SSTI analysis of American Community Survey (ACS) data from 2013-2017 suggests that there may not be much potential growth for the labor force, at least among those in the prime working ages of 25-54. The participation rate for this group is approximately 82 percent across the country, according to the analysis, and only an additional one percent consider themselves willing to work in the near future (e.g., after a “temporary illness” or have been looking too long to counted as unemployed).

Outside of the private sector, colleges and universities perform the vast majority of R&D in the United States – but where do these funds come from? An SSTI analysis of data from the National Science Foundation’s National Center for Science and Engineering Statistics (NSF NCSES) finds that, across the country, the federal government was the source of more than half (53.5 percent) of all R&D performed at colleges and universities in 2017. Institutional funds (25.1 percent), nonprofit organizations (6.8 percent), businesses (5.9 percent), state and local governments (5.6 percent), and other sources (3.0 percent) comprised the remaining sources of higher education R&D funding. The interactive chart below shows the breakdown of funding sources for research and development at colleges and universities for each state.

Nearly three-quarters of all research and development was performed by the private sector in fiscal year 2016, though this share differed greatly across the states, according to an SSTI analysis of recently released data from the National Science Foundation’s National Center for Science and Engineering Statistics (NSF NCSES). Delaware showed the greatest concentration of business R&D (90.5 percent of all R&D in the state), while Tennessee had the most diversified R&D portfolio with a roughly even distribution of R&D performed by businesses, higher education and federally funded R&D centers (FFRDC’s). The interactive chart below shows the breakdown of performers of research and development for each state.

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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.

These measurements of educational attainment are from U.S. Census data in 2000 and the five-year estimates from the American Community Survey for 2012 (collecting data from 2008-2012) and 2017 (2013-2017). The summary file SSTI created for this article is available here.

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. In a ten-year comparison of major metro areas, the share of population with at least a bachelor’s degree increased the most in Asheville (growing 6.9 percentage points to 34.1 percent), Pittsburgh (growing 6.3 percentage points to 33.5 percent), and Denver (growing 6.1 percentage points to 42.1 percent).

For the purposes of this piece, “educational attainment” specifically refers to degrees at the bachelor’s level and higher (BA+). Data is based on three separate American Community Survey estimates:  The recently released 2013-2017 American Community Survey 5-Year Estimates, the 2008-2012 American Community Survey 5-Year Estimates, and the 2005-2007 American Community Survey 3-Year Estimates.

The National Science Foundation (NSF), the fifth largest distributor of SBIR awards among federal agencies, received more than 20,000 proposals over the decade long period from 2008 to 2017, approving more than 3,600 (16.8 percent), according to an SSTI analysis of NSF data. NSF SBIR awards are the least concentrated of all federal agencies, as measured by share of awards going to firms with more than 10+ awards. An SSTI analysis found that New Hampshire (28 percent success rate), Wisconsin (26.7 percent success rate), and Louisiana (24.7 percent) were the most likely to convert their NSF SBIR applications into awards.

The map above shows NSF SBIR/STTR award success by state over the 10-year period from 2008 to 2017. Shading represents the state’s success rate, with darker shades representing a higher approval rate of submissions, while bubble-size represents the average number of NSF/STTR awards per year.

Over the six-year period from 2013 to 2018, as total venture capital investments nearly tripled, growing from $47.5 billion in 2013 to nearly $131 billion in 2014, the number of deals increased by just 13.5 percent according to new data from the NVCA-PitchBook Venture Capital Monitor. The $131 billion in total VC investments in 2018 is the largest amount since PitchBook began tracking the data in 2006 and the first year since the height of the dot-com boom that annual capital investment eclipsed $100 billion. Last week, SSTI wrote how the VC industry was shaped by concentration including both geographic concentration and increases in mega-rounds/funds in 2018.

Based on the PitchBook data, SSTI has prepared information on VC investment by state and changes over time. That data, along with state-by-state totals for 2013-2018 are available in Excel format below. In addition to deals and dollars for each state, SSTI also includes:

Every state government invested at least $1.0 million in research and development in FY 2017, according to recent data from the National Science Foundation’s National Center for Science and Education Statistics. During the three-year period from FY 2015 to FY 2017, California ($551.8 million per year), New York ($403.2 million per year), and Texas ($244.9 million per year) state governments averaged the most R&D expenditures. In FY 2017, these three states accounted for 49.8 percent of the national total, up from 45.6 percent of the total invested by state governments in 2012.

As NSF notes, “state R&D totals can display considerable volatility between survey years due to several national and state-specific factors. Large changes are not unusual, especially for discretionary spending items such as R&D.” To address this volatility, this analysis looks at changes between two three-year periods: from FY 2012 to FY 2014, and from FY 2015 to FY 2017.

One of the best ways to measure the effectiveness of state programs intended to encourage the success of SBIR applications is the approval-rate of their submissions. Although this data has been historically unavailable across every federal agency, it is now accessible for the National Institutes of Health (NIH), the second largest provider of SBIR/STTR awards, according to a 2018 Digest report. The NIH distributed $446.2 million in SBIR/STTR awards in 2017, with every state except North and South Dakota receiving an award. Although California and Massachusetts had the most successful SBIR/STTR applications in 2017, accounting for roughly one-third of the total when combined, neither state ranked among the top 10 in success rate. NIH SBIR/STTR applications in Oregon (29 percent success rate), Vermont (25 percent success rate), and Wisconsin (23 percent success rate) were the most likely to be approved over the ten-year period from 2008 to 2017. Each of these states, as well as many others with high success rates, offer assistance with proposals such as technical support programs and Phase 0 grants.

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. Of the 138 counties with a population of more than 500,000 (large counties), GDP per capita increased in all but five from 2012 to 2015, led by Palm Beach County, Florida (32.2 percent increase), Santa Clara County, California (28.6 percent) and Denton County, Texas (27.6 percent). Using data from the BEA and the U.S. Census, SSTI has prepared a spreadsheet showing GDP per capita at the county level from 2012 to 2015, as well as an interactive map highlighting this data.

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. Higher education R&D expenditures grew the fastest in Connecticut (66.2 percent), Massachusetts (63.9 percent), and Wyoming (63.0 percent) over the 10-year period, while New York ($2.3 billion increase), California ($2.0 billion), and Massachusetts ($1.6 billion) saw the largest absolute gains during this time.

From 2016 to 2017, higher education R&D expenditures grew by $3.8 billion, the most in year-over-year new funding since 2010-2011. Of the new funds, 43.1 percent came from federal sources, 27.2 percent came from institutional funds, and 17.0 percent came from other sources, like nonprofit organizations. The remainder (12.7 percent) came from businesses, and state and local governments.