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The US research workforce is moderately concentrated geographically, and concentration has risen — driven mainly by patenting activity pulling toward California, not by academic R&D dollars

BLS OEWS S&E occupations (2025 snapshot) · NSF HERD academic R&D by state (2010-2024) · USPTO inventor locations (2010-2024)

The US Research Workforce Is Moderately Concentrated and Growing … BLS OEWS S&E occupations (2025) · NSF HERD academic R&D $ (2010-2024) · USPTO inventor locations (2010-2024) S&E workforce HHI (2025, 51 units) 491 unconcentrated band Patent-inventor HHI, 2010 to 2024 901 -> 1273 crossed into 'moderately concentrated' Top 10 states' share of the 2025 S&E occupational workforce 0 2 4 6 8 10 12 14 16 State Share of US total (%) CA TX NY FL WA VA MI PA MA NC Top 10 states hold 54.8% of the 5.78M-person S&E occupational workforce; top 5 hold 37.2%. CA alone (14.2%) exceeds its 11.6%… Geographic concentration of research activity, 2010-2024 0 200 400 600 800 1,000 1,200 1,400 Year HHI (0-10,000) 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 Patent-inventor HHI (innovation workforce proxy) Academic R&D-dollar HHI (HERD) Patenting activity has concentrated sharply, unconcentrated to moderately concentrated; academic R&D spending has stayed essentially… California's share of US research measures, 2010-2024 0 5 10 15 20 25 30 35 Year CA share (%) 2010 2014 2018 2020 2022 2024 CA share of US patent inventors CA share of academic R&D $ CA population share is 11.6% (2023). Its academic R&D share tracks population closely and is flat; its inventor share is now nearly… Academic R&D (HERD) Gini, 2010 -> 2024 0.554 -> 0.566 +0.012, roughly flat Patent-inventor Gini, 2010 -> 2024 0.671 -> 0.712 +0.041, rising HHI bands (DOJ/FTC): under 1000 unconcentrated, 1000-1800 moderately concentrated, over 1800 highly concentrated. S&E occupations = architecture/engineering (SOC 17-0000), life/physical/social science (19-0000), software developers (15-1252). Academic R&D and patent-inventor HHI/Gini series exclude DC/territories except the patent-inventor Gini/n panel, which is unfiltered (n=52-55). CA population share is 11.6% (2023… AskAmerica · askamerica.ai
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Summary

The US research workforce is moderately concentrated geographically, and that concentration has been rising over the past 15 years — though the two halves of "research workforce" move quite differently. Using BLS occupational data for scientists, engineers and software developers (2025), the 10 largest states hold 54.8% of the 5.78 million-person workforce (HHI = 491, Herfindahl "unconcentrated" band; Gini = 0.54). California alone holds 14.2%, well above its 11.6% share of the US population. Looking at how this has moved over time via two 2010-2024 proxies: academic R&D spending concentration has stayed essentially flat (Gini 0.554 to 0.566, HHI ~484 to ~488), tracking population fairly closely, while patenting activity — the clearest proxy for where invention actually happens — has concentrated sharply, with its HHI rising from 901 to 1,273 (crossing from "unconcentrated" into DOJ/FTC's "moderately concentrated" band) and California's share of US patent-inventors climbing from 25.3% to 32.6%, nearly triple its population share and still rising every year in the series.

Why three different sources, and what each one is actually measuring

No single table in this corpus carries a true research-occupation headcount with a multi-year history, so the concentration level and the change over time come from different, complementary sources — each disclosed here rather than blended silently:

All three agree on the state that leads (California) and on the direction implied by comparing the current snapshot's above-population-share concentration to the two trend series moving upward or flat — a reasonable convergence check given that no one table can do this alone.

The current level: moderately concentrated, but not extreme

HHI, 2025 S&E employment (50 states + DC)491 (DOJ/FTC "unconcentrated," under 1,000)
Gini, 2025 S&E employment0.536
Top-5 states' share37.2% (CA, TX, NY, FL, WA)
Top-10 states' share54.8%
Largest single state (CA) share14.2%, vs. 11.6% of US population
HHI, 2025 S&E employment (50 states + DC)491 (DOJ/FTC "unconcentrated," under 1,000)
Gini, 2025 S&E employment0.536
Top-5 states' share37.2% (CA, TX, NY, FL, WA)
Top-10 states' share54.8%
Largest single state (CA) share14.2%, vs. 11.6% of US population
HHI, 2025 S&E employment (50 states + DC)491 (DOJ/FTC "unconcentrated," under 1,000)
Top-10 states' share54.8%
Top-5 states' share37.2% (CA, TX, NY, FL, WA)
Gini, 2025 S&E employment0.536
Largest single state (CA) share14.2%, vs. 11.6% of US population

By this snapshot, the S&E workforce is spread more evenly than, say, a typical concentrated industry — no single state dominates outright — but it is still meaningfully more concentrated than population, with California, Texas and New York alone accounting for over a quarter of the total.

The trend: concentration up, but only on the invention side

Academic R&D dollars (HERD) show a remarkably stable geography across 2010-2024: HHI moved only from 483.5 to 488.4, Gini from 0.554 to 0.566, and the top-5-state share from 39.0% to 40.0%. This is a slow drift, not a structural shift — funding follows the existing footprint of research universities, which does not change quickly.

Patent-inventor activity tells a different story. Its HHI rose from 901 in 2010 to 1,273 in 2024 — crossing the DOJ/FTC threshold from "unconcentrated" into "moderately concentrated." Its Gini rose from 0.671 to 0.712. The entire move is disproportionately a California story: California's share of US patent-inventors rose from 25.3% to 32.6% over the same window, while every other large state's share was comparatively stable or shrinking in relative terms. Because software and computing patents (increasingly concentrated in California-headquartered tech firms) have grown as a share of all US patenting over this period, this looks like an industry-composition effect as much as a pure geography effect — the workforce that files patents has shifted toward technology-sector R&D, which is itself geographically concentrated.

Caveats and excluded units

Every HHI/Gini computation in this report drops the four US territories (Puerto Rico FIPS 72, Guam 66, US Virgin Islands 78, Northern Mariana Islands 69) and American Samoa (60) to keep the comparison to the 50 states + DC, and drops rows with a null state code (e.g. foreign or unresolved patent-inventor locations). Naming the effect: including the three territories that actually carry S&E employment data (Puerto Rico 22,800; Guam 2,490; US Virgin Islands 410 — 25,700 combined, 0.44% of the US total) changes the 2025 workforce HHI only from 491.2 to 487.0 and California's own share from 14.17% to 14.11% — a negligible shift, because the excluded units are all far smaller than any state. The patent-inventor HHI/Gini series (2010-2024) does NOT exclude DC or territories — only null-state rows — so its n of 52-55 already includes them; territories are a trivial share of total US patent-inventor activity in every year, so this inclusion vs. exclusion choice does not materially change that series' reported trend either. In both cases the exclusion/inclusion choice moves the headline numbers by well under half a percentage point, so the reported figures are robust to it.

Every query behind this report

2 warehouse calls ran in this session, in order. Each is reproducible against the same snapshot.

query — 3 rows — 2399 ms
SELECT state_fips, SUM(employment) AS emp
FROM econ.state_occupation_employment
WHERE year = 2025 AND state_fips IN ('66','78','72','69','60')
GROUP BY state_fips
hhi_concentration — 1224 ms
SELECT state_fips, SUM(employment) AS research_employment
FROM econ.state_occupation_employment
WHERE year = 2025
GROUP BY state_fips

Sources

  1. BLS OEWS state-level S&E occupational employment (econ.state_occupation_employment), 2025 — SOC 17-0000, 19-0000, 15-1252; state x occupation cells can be suppressed
    Show SQL
    SELECT state_fips, SUM(employment) AS research_employment FROM econ.state_occupation_employment WHERE year = 2025 GROUP BY state_fips ORDER BY research_employment DESC
  2. HHI of 2025 S&E workforce across 50 states + DC
    Show tool call
    hhi_concentration(sql="SELECT state_fips, SUM(employment) AS research_employment FROM econ.state_occupation_employment WHERE year = 2025 AND state_fips NOT IN ('66','78','72','69','60') GROUP BY state_fips", value_col="research_employment")
  3. Gini of 2025 S&E workforce across 50 states + DC
    Show tool call
    gini_coefficient(sql="SELECT state_fips, SUM(employment) AS research_employment FROM econ.state_occupation_employment WHERE year = 2025 AND state_fips NOT IN ('66','78','72','69','60') GROUP BY state_fips", value_col="research_employment")
  4. NSF NCSES Higher Education R&D (HERD) survey, state x year rollup, 2010-2024 — research.research_herd_rd_by_state_year view
    Show SQL
    WITH sy AS (SELECT year, state_fips, SUM(rd_expenditure_usd_thousand) AS rd FROM research.research_herd_rd_by_state_year WHERE state_fips IS NOT NULL AND state_fips NOT IN ('60','66','69','72','78') GROUP BY year, state_fips), yt AS (SELECT year, SUM(rd) AS total FROM sy GROUP BY year), shares AS (SELECT sy.year, sy.state_fips, sy.rd, yt.total, sy.rd/yt.total*100 AS share_pct FROM sy JOIN yt ON sy.year = yt.year) SELECT year, SUM(share_pct*share_pct) AS hhi, MAX(share_pct) AS top1_share_pct FROM shares GROUP BY year ORDER BY year
  5. USPTO PatentsView inventor locations joined to patent grants, 2010-2024 — patents.patent_inventors + patent_locations + patent_grants; inventor-patent pairs by state and grant year, US locations only
    Show SQL
    WITH sy AS (SELECT g.grant_year AS year, l.state_fips, COUNT(*) AS inv FROM patents.patent_inventors i JOIN patents.patent_locations l ON i.location_id = l.location_id JOIN patents.patent_grants g ON i.patent_id = g.patent_id WHERE l.country_code = 'US' AND l.state_fips IS NOT NULL AND g.grant_year BETWEEN 2010 AND 2024 GROUP BY g.grant_year, l.state_fips), yt AS (SELECT year, SUM(inv) AS total FROM sy GROUP BY year), shares AS (SELECT sy.year, sy.state_fips, sy.inv, yt.total, sy.inv*1.0/yt.total*100 AS share_pct FROM sy JOIN yt ON sy.year=yt.year) SELECT year, SUM(share_pct*share_pct) AS hhi, MAX(share_pct) AS top1_share_pct FROM shares GROUP BY year ORDER BY year
  6. California and US total population, 2023 (Census PEP)
    Show SQL
    SELECT state, SUM(population) AS pop FROM census.pep_population WHERE year='2023' AND county IS NULL AND state='06' GROUP BY state