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Editors

Also called Copy editor, Copyeditor, Managing editor, Senior editor, Acquisitions editor

In brief

In May 2025, BLS counted 91,690 US editors, with median pay of $77,920 a year. Of the BLS counts since 2003, the highest was 110,010, in May 2008. The earliest figure here is an estimate of 25,000 from 1920, not measured the same way as today's count. The last full technology era for editors: Grammarly and AI-assisted style tools, 2009 to 2022.

What the sources say

Official outlook

BLS projects employment to decline 1.1% from 2025 to 2035.

BLS Employment Projections 2025-35

AI exposure studies

  • 64.7% of this job's tasks are exposed to large language models. Not a forecast of job losses. Eloundou and others, 2023
  • 26% of work tasks in arts, design, entertainment, sports, and media occupations, this job's group, are exposed to automation by AI. Not a forecast of job losses. Goldman Sachs, 2023
  • 0.055 estimated probability that the whole occupation could be computerised, over an unspecified number of years. Not a forecast of job losses. Frey and Osborne, 2013

Since the 2013 prediction

In 2013, Frey and Osborne put this job's probability of computerisation at 0.055. BLS counted 98,790 of these jobs in May 2013 and 91,690 in May 2025. The count moved sharply in one step, May 2020 to May 2021, when BLS changed how it estimates these counts, so no change is derived here.

Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. BLS publishes these counts as yearly survey snapshots and cautions against reading them as a precise trend. In May 2021 BLS changed how it estimates these counts (a model-based method using three years of survey data) and moved fully to the 2018 occupation codes, so part of a change across 2021 can come from the method rather than the work.

Last updated .

Cite this page
APA

Future History. (2026, October 11). Editors: jobs and pay since 1920 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/27-3041

Chicago

Future History. "Editors: jobs and pay since 1920." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/27-3041.

BibTeX

@misc{futurehistory_27_3041, author = {{Future History}}, title = {Editors: jobs and pay since 1920}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/27-3041}}, note = {Last updated 2026-10-11. Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35}, }

The access date is today's date on your device.

drag to travel through time
172517501775180018251850187519001925195019752000now
Country
2026
Known then as Editor / Publisher (combined role, periodical press)
Known then as Newspaper Editor / Book Editor (separate but overlapping)
Known then as Editor / Managing Editor / Copy Reader (newspaper specialization)
Known then as Editor / Copy Editor / Acquisitions Editor (magazine and book era)
Known then as Editor / Senior Editor / Line Editor (typewriter and early word processor era)
Known then as Editor / Web Editor / Digital Content Editor
Known then as Editors (BLS SOC 27-3041)
Known today as Editors (BLS SOC 27-3041)
Projected to still be called Editors (BLS SOC 27-3041)
Data from the May 2025 survey
US Employment
92K
Est.

Stated in source: BLS OEWS

Official statistic
Report an error
Median Annual Wage
$77,920
Est.

≈ $75,922 in 2024 prices (derived by us, CPI-adjusted)

Official statistic
Report an error
Beat · 1709

April 12, 1709: Richard Steele publishes the first issue of The Tatler from Fleet Street, London, under the pen name "Isaac Bickerstaff." Appearing three times weekly, it was organized by fictional coffeehouse datelines and established a consistent editorial voice as a commercial proposition for the first time. When Steele and Joseph Addison co-founded The Spectator in 1711 (running daily from March 1, 1711), Addison's editorial dominance refined the model further. The two periodicals together defined editing as an act of civic cultivation (selecting, shaping, and presenting ideas for a specific audience's benefit) that remains the role's core identity today.

Beat · 1914

Maxwell Perkins joins the editorial staff at Charles Scribner's Sons in 1914, having spent four years in advertising. Over the next three decades he would discover and shape three of the defining voices of 20th-century American literature: F. Scott Fitzgerald (This Side of Paradise, 1920; The Great Gatsby, 1925), Ernest Hemingway (The Sun Also Rises, 1926), and Thomas Wolfe (Look Homeward, Angel, 1929, after persuading Wolfe to cut 90,000 words). Perkins's methods (coach, structural diagnostician, author's advocate) established the modern developmental editor role. His credo, "The book belongs to the author," defined the ethics of the editorial relationship.

Beat · 1922

October 1922: The American Society of Newspaper Editors (ASNE) is founded with 107 charter members, led by Casper Yost of the St. Louis Globe-Democrat. ASNE adopted the Canons of Journalism in April 1923 at its first convention in Washington: early ethical guidelines stressing truthfulness, independence from special interests, and fairness. It was the first professional standards body specifically for editors (as distinct from reporters or publishers), formalizing the newspaper editor as a professional role with codified obligations. ASNE has since merged into the News Leaders Association.

Beat · 1925

February 21, 1925: Harold Ross publishes the first issue of The New Yorker, with the working prospectus: "The New Yorker will be the magazine which is not edited for the old lady in Dubuque." Ross's editorial standards, particularly his habit of scrawling "Who he?" in the margins whenever a reference was insufficiently explained, set a benchmark for reader-oriented clarity that became the most influential editorial philosophy in American magazine history. Ross built a fact-checking department (one of the first at any magazine), insisted on stylistic consistency, and treated editing as the organizing intelligence of the enterprise rather than its last-step cleanup.

Beat · 1971

June 1971: New York Times executive editor Abe Rosenthal and Washington Post executive editor Ben Bradlee independently decide to publish the Pentagon Papers, a 7,000-page classified Defense Department study of US involvement in Vietnam, leaked by Daniel Ellsberg. Both editors overrode their lawyers' advice and published. The Nixon administration obtained restraining orders against both papers: the first use of prior restraint against the American press since World War II. The Supreme Court ruled 6-3 for the newspapers (New York Times Co. v. United States, June 30, 1971). The case established press freedom principles that govern editorial decision-making on classified-document publishing to the present day.

Beat · 2008

The 2008 financial crisis accelerates a newspaper industry collapse that had been building since 2000, when Craigslist began eliminating classified-advertising revenue: historically the economic engine of local newspapers. Between 2008 and 2020, newspaper newsroom employment fell 57%, from roughly 71,000 jobs to about 31,000 (Pew Research Center, 2021). Newsroom editors bore a disproportionate share of these cuts: senior editors were expensive, and digital-first organizations could publish without the layered editorial structure that print newspapers had developed. The editorial headcount lost at American newspapers between 2008 and 2024 represents one of the largest single-profession contractions in recent US labor history.

Beat · 2022

November 30, 2022: ChatGPT launches. Within weeks, literary magazines begin reporting a surge in AI-generated fiction submissions. By January 2023, Clarkesworld, a Hugo Award-winning science fiction magazine, reported a 500% increase in AI-generated submissions and temporarily closed its submission portal. Editors across fiction, journalism, and academic publishing began implementing AI-detection workflows (GPTZero, Originality.ai) as standard gatekeeping steps. The New York Times filed suit against OpenAI and Microsoft in December 2023, alleging unauthorized use of published articles as training data.

How to read this number

OEWS is a point-in-time survey snapshot, not a continuous time series; BLS advises against using it for year-over-year trend comparison.

Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.

Official statistic: Copied by a script from a statistics agency table or a published study's table, not retyped by hand. BLS figures and the forecast and exposure tables are also re-checked against that table on every data run. Researched context: Researched from the cited source rather than copied from it by a script, so it is not machine-checked yet. Spot a mistake? Each figure has a “Report an error” link.

Cited forecasts · present → 2035

Will AI replace editors? What the research says

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, we show the disagreement rather than an average.

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, the spread is the honest signal.

What published forecasts say
Forecast change in the number of people doing this work, as published by each named source. Bars share one scale on every role, centred on zero and reaching the end at ±30%. Grey marks a small change, 3% or less either way.
BLS Employment Projections 2025-35
→ 2035
-1.1%
BLS National Employment Matrix, 2025-35 cycle, line for SOC 27-3041 (Editors): 105.0 thousand jobs in 2025, projected 103.8 thousand in 2035, a change of -1.1 thousand (-1.1%). Matrix employment counts all jobs in the occupation, including self-employed workers (9% of this occupation in 2025). The average for all occupations in this cycle is +3.5%.
Official statisticReport an error
How exposed is this work to AI (research measures)
Scores as published by each study. Each row says what it measures. These measure what AI could technically do, not forecasts of jobs lost.
Eloundou et al. (2023), "GPTs are GPTs"
2023 study · Share of tasks exposed to LLMs (β, human-rated)
64.7%
of tasks
What this measures

Published occupation-level exposure from the paper's occ_level.csv for O*NET-SOC 27-3041.00 Editors. Shown: human-rated β = 0.647, the share of the occupation's tasks an LLM could do in at least half the time at equal quality, counting tasks that need LLM-powered software at half weight (β = E1 + 0.5 × E2). Other published measures for this occupation: human-rated α (LLM alone) 0.529 and γ (all LLM-assisted) 0.765; GPT-4-rated β 0.647. This measures how much of the work an LLM could touch, not how many jobs disappear.

Official statisticReport an error
Goldman Sachs (Briggs & Kodnani, 2023), "The Potentially Large Effects of Artificial Intelligence on Economic Growth"
2023 study · Share of work tasks exposed to automation by AI, all arts, design, entertainment, sports, and media occupations (US)
26%
of tasks
What this measures

Goldman Sachs Global Investment Research scored the task content of each US occupation for exposure to automation by generative AI and weighted by OEWS employment. Exhibit 5 (US panel) reports 26% for arts, design, entertainment, sports, and media occupations, the occupational group this role belongs to; the report publishes no figure for individual occupations. It measures how much of the group's work AI could automate, not how many jobs disappear, and it is a 2023 estimate, not a forecast for a later year.

Official statisticReport an error
Frey & Osborne (2013), "The Future of Employment"
2013 study · Probability of computerisation (2013 model)
5.5%
probability
What this measures

Published appendix value for SOC 2010 27-3041 Editors: probability of computerisation 0.055, rank 140 of 702 (rank 1 is least computerisable). Frey and Osborne estimated in 2013, with a Gaussian-process classifier on O*NET variables, how likely the whole occupation is to be technically automatable over "some unspecified number of years, perhaps a decade or two". It is a probability for the occupation, not a share of tasks and not a forecast of jobs lost.

Official statisticReport an error
Today, in this role

What's changing day to day for editors

Three parts of your work where AI is already doing real lifting, and what stays yours.

AI is taking this onRun AI-generated copy through Grammarly Business or ProWritingAid to catch grammar, clarity, and style deviations, then review flagged suggestions editorially (accepting, rejecting, or escalating each to author) before publication.

Run AI-generated copy through Grammarly Business or ProWritingAid to catch grammar, clarity, and style deviations, then review flagged suggestions editorially (accepting, rejecting, or escalating each to author) before publication.[8],[9],[5]

Where your edge is

Grammar and mechanical copyediting is now nearly fully delegated to AI: the EFA's 2024 rate survey shows median per-word copyediting rates declining in real terms as AI tools absorb the volume work. Your value here is editorial judgment over the AI's suggestions, not the corrections themselves. Develop a rapid-review workflow: AI flags, you decide. Speed and judgment quality matter; raw correction throughput does not.

AI is sitting alongside you hereReview and edit AI-translated content, evaluating DeepL or similar machine-translation output for publication quality, flagging idiom failures, cultural mismatches, and tone issues that automated systems miss, then briefing human translators on targeted revision needs.

Review and edit AI-translated content, evaluating DeepL or similar machine-translation output for publication quality, flagging idiom failures, cultural mismatches, and tone issues that automated systems miss, then briefing human translators on targeted revision needs.[10],[2]

Tools picking this up
Where your edge is

Machine translation has replaced first-draft human translation for most general content, but editors reviewing AI-translated work for international publication need a different skill set: cultural fluency and the ability to identify what the machine missed rather than translate from scratch. If you work in multilingual publishing, invest in cultural competency over translation speed.

AI is sitting alongside you hereScreen submitted manuscripts and content pitches for AI-generated text using Originality.ai or GPTZero, then make publication decisions based on detection scores, author context, and editorial policy on AI-assisted work.

Screen submitted manuscripts and content pitches for AI-generated text using Originality.ai or GPTZero, then make publication decisions based on detection scores, author context, and editorial policy on AI-assisted work.[11],[12],[7]

Tools picking this up
Where your edge is

AI detection is now a standard editorial gatekeeping step at literary magazines, peer-reviewed journals, and high-trust publications. Neither Originality.ai nor GPTZero is definitive: both have false positive and false negative rates. Develop and publish a clear house policy on AI-assisted submissions so authors know what is acceptable, reducing ambiguous decisions.

Where editors go next

Natural next steps for someone with your foundation: not exits, evolutions.

What each move takes

A direction you could grow

Marketing Managers

Senior editors with editorial calendar, audience analytics, and content strategy experience share significant overlap with Marketing Manager responsibilities. As AI automates content production, Marketing Managers increasingly need editorial judgment, knowing what content is worth making and how to quality-gate AI output, rather than headcount of writers. This pivot typically requires a content strategist or content marketing manager bridge role lasting a few years, but editors at digital publications are unusually well positioned because they already track audience metrics and manage content at volume.

What you'd add
· AI content operations, building and governing company-wide content AI workflows
What it takesSome new skills to pick up
Tools of the era

How has the work of editors changed since 1709?

The tools that defined the work, one line per era. Select an era to see how it reshaped the work.

  • Blue pencil, galley proofs, and hand-composition type

    For more than a century, editing was inseparable from the physical mechanics of type. A newspaper editor worked directly with hot-metal type set by compositors, reading proof galleys, long strips of freshly set type pulled on paper, and marking corrections in blue (so the pencil marks would not reproduce in the final print). The blue pencil became the profession's totemic tool: to "blue-pencil" something still means to edit or censor it. Copy was handwritten or typewritten, sent to compositors who set it in type, and returned as galleys for the editor's review. The process was slow, expensive (corrections required resetting entire lines), and gave enormous power to the senior editor who controlled what the compositor would reset.

    Effect on the work

    The physical constraints of hand-composition type created a strong economic incentive for compact writing: verbose copy was expensive to set. This partly explains why 19th-century newspaper writing is often terser than its literary prose contemporaries: the per-word cost was literally higher.

  • Linotype machine: hot metal typesetting (Ottmar Mergenthaler, 1886)

    The Linotype machine, first commercially deployed at the New York Tribune in July 1886, transformed newspaper production so completely that within five years it had begun to reshape editorial workflows. Machine typesetting, several times faster than hand composition, eliminated the main bottleneck in newspaper production, and shifted the editorial bottleneck to writing and editing. Editors who had once been constrained by how fast type could be set were now working in newsrooms that could produce multiple editions per day. The morning-edition, evening-edition newspaper cycle that defined 20th-century journalism was a direct consequence of the Linotype's speed. The copy desk, the specialized editor role that polished reporter copy before it was sent to the composing room, became a permanent feature of newspaper structure in the Linotype era.

    Effect on the work

    The Linotype did not displace editors; it created demand for more of them. Faster production required more copy to fill the pages, which required more reporters and editors to generate and process that copy. The newspaper editor headcount grew substantially between 1886 and 1920 as the daily newspaper became economically viable in cities of every size.

  • The Copy Desk: institutionalized editorial specialization

    By the 1920s, large newspaper and magazine editorial organizations had developed a layered editorial structure unknown in the previous century: reporters filed, rewrite editors polished, copy editors checked accuracy and headline fit, managing editors coordinated sections, and editors-in-chief set policy. The 1920s through 1970s have been called "the age of the copy desk", when copy-desk editors exercised quiet control over content that a single publisher-editor had previously held alone. Harold Ross's New Yorker, founded February 21, 1925, elevated editing to an art form: Ross's legendary query "Who he?", a marginal demand whenever a reference was insufficiently explained, set standards of precision and reader-orientation that influenced American journalism for generations. Maxwell Perkins at Scribner's (editorial staff from 1914, editorial director from the 1930s) simultaneously transformed book editing into its modern developmental form, persuading Thomas Wolfe to cut tens of thousands of words from a manuscript, shaping the careers of Fitzgerald, Hemingway, and Rawlings.

  • Photo-typesetting and cold type: editorial separation from compositing

    Photo-typesetting systems, which began replacing hot-metal Linotype machines in newspaper and magazine production rooms from the late 1950s, introduced a key change in the editorial workflow: copy was now keyboarded separately (first on dedicated typesetting terminals, then on early dedicated word-processing workstations) before it was set. This physical separation of typing from typesetting created space for the editorial review stage to become more distinct and specialized. At many newspapers, dedicated "video display terminals" (VDTs) were introduced in the late 1960s and 1970s, and copy editors began working on screen rather than on paper for the first time. By 1980, most major metropolitan newspapers had eliminated the composing room entirely.

    Effect on the work

    Photo-typesetting eliminated the Linotype operator, a skilled craft job that had numbered in the tens of thousands, without eliminating editors. Unlike the graphic design case (where desktop publishing collapsed an adjacent trade into the design role), editorial work remained upstream of the compositing change and was largely unaffected in headcount. The editorial staff of major newspapers in 1980 was similar in size to 1960.

  • Word processors: WordStar (1978), WordPerfect (1980), Microsoft Word (1983/1989)

    Word processing reached editorial offices in the late 1970s through dedicated systems (Wang, IBM DisplayWriter) and then through personal computers running WordStar (1978) and WordPerfect (1980). For book and magazine editors, this was transformative: a manuscript that had previously required retyping for every revision could now be edited electronically and returned to the author or sent directly to production. The "track changes" concept, allowing an editor to mark revisions that an author could accept or reject, first appeared in early word-processor implementations and became a foundational feature of Microsoft Word (introduced for Mac 1983, Windows 1989). Copy editors at newspapers shifted to editing on VDTs; line editors at publishing houses began accepting electronic manuscripts.

    Effect on the work

    Word processing did not reduce editorial employment: it increased editorial throughput, allowing editors to handle more manuscripts in less time. The per-manuscript cost of editing fell; the consequence was downward pressure on per-word freelance rates over the following decade rather than reduction in editor headcount.

  • Email submissions and the web: CMS editors and digital-first workflows

    Email killed the paper manuscript: by the mid-1990s, most book and magazine editors were receiving submissions electronically, reading drafts as attached Word documents, and marking them up with Track Changes before returning them. The World Wide Web created an entirely new editorial category (web editor, content editor, digital editor) that had not existed before. The first content management systems (early versions of what became Drupal, WordPress, and proprietary CMS platforms) gave editors publishing interfaces that separated editorial work from HTML coding. By 2003, WordPress had launched and the democratization of online publishing had begun; editors now operated in both long-form and headline/SEO-optimized registers.

  • Grammarly (2009) and AI-assisted style tools: the first automated editorial co-pilot

    Grammarly was founded in 2009; its freemium consumer launch in 2015 brought AI-assisted grammar, clarity, and style checking to tens of millions of writers and editors. By 2020, Grammarly had tens of millions of daily users; its 2021 funding round valued it. For copy editors and proofreaders, Grammarly represented the first tool that partially automated a previously human function: catching comma splices, subject-verb disagreements, passive voice constructions, and weak phrasing in real time across a writer's entire document. ProWritingAid (2012) offered deeper analysis of manuscript-level patterns, overused words, sentence-length variation, adverb density. These tools did not replace editors; they compressed the time required for mechanical correction passes and raised the floor quality of submitted writing, directing editorial attention upward toward structural and developmental concerns.

    Effect on the work

    Grammarly and ProWritingAid reduced demand for the lowest tier of mechanical copyediting, proofreading for grammar and spelling, without meaningfully affecting employment of editors performing developmental, acquisitions, or managing-editor functions. Editorial Freelancers Association rate surveys after 2015 show per-word copyediting rates declining in real terms as AI tools absorbed the volume of routine mechanical corrections.

  • ChatGPT / Claude: LLM writing and editing at scale; GPTZero and Originality.ai for detection

    ChatGPT launched November 30, 2022, and within months the editorial profession was dealing with consequences on two fronts simultaneously. The first: AI-generated content submissions (to literary magazines, newsrooms, academic journals, and content agencies) made AI detection tools (GPTZero, Originality.ai) a new standard editorial gatekeeping step. The second: LLMs capable of generating structurally correct, stylistically adequate prose at zero marginal cost began substituting for entry-level content writing, reducing the volume of copy that required human editing. Grammarly integrated GPT-based generation into its platform in April 2023. In the Anthropic Economic Index January 2026 report, Arts, Design and Entertainment tasks made up 11% of sampled Claude.ai conversations (against 6% of first-party API transcripts), and the report says the writing tasks there were primarily copyediting and the writing and refinement of fictional pieces. Nieman Lab documented newsroom AI guidelines proliferating across major outlets through 2023–2025 as editors built policies for AI-assisted and AI-generated content.

    Effect on the work

    The Editorial Freelancers Association 2024 rate survey found median per-word copyediting rates flat or declining in real terms since 2022. High-volume digital content editors, those managing AI-assisted content pipelines, command premium positioning; pure line-editing and mechanical-copyediting volume work faces the sharpest rate compression. The bimodal future of editorial work is now visible: acquisitions editors, developmental editors, and senior literary editors are more defensible than they have ever been relative to the occupation's lower tier.

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Editors employment and pay by year

On record since1709
Latest US employment91,690 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Latest US median pay$77,920 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Outlook-1.1% by 2035Source: BLS Employment Projections 2025-35Official statisticReport an error

In other countries

The latest figure each country's statistics agency publishes for this job. Each uses its own occupation definition, survey basis and currency, so the numbers are not directly comparable with each other or with the US figures.

  • Canada (NOC 51110)

    Employment, 2020
    13,855, Statistics Canada Census 2021 Official statistic Report an errorStatistics Canada Census of Population 2021: number of persons with employment income in NOC 51110 Editors, Canada, reference year 2020. A recipients basis (anyone with employment income during the year), slightly broader than a point-in-time employed count. Statistics Canada Open Licence.
    Median pay, 2020
    C$60,400, Statistics Canada Census 2021 Official statistic Report an errorStatistics Canada Census of Population 2021 (Table 98-10-0586): median employment income for NOC 51110 Editors, Canada, reference year 2020, full-year full-time workers (the basis comparable to the US OEWS full-time median). Statistics Canada Open Licence.
View all 27 years of cited US data, each linked to its source
YearUS employmentAnnual pay (median unless marked)SourceReport
192025,000n/aEst., History of American journalism Researched contextReport
195042,000n/aEst., IPUMS USA Researched contextReport
198072,000n/aEst., BLS Monthly Labor Review Researched contextReport
2000104,210$38,000BLS OEWS 2000 (employment) Official statisticEst., BLS Occupational Outlook Handbook (pay) Researched contextReport
2003108,990$41,460BLS OEWS May 2003 Official statisticReport
2004100,790$43,890BLS OEWS May 2004 Official statisticReport
200596,270$45,510BLS OEWS May 2005 Official statisticReport
2006100,170$46,990BLS OEWS May 2006 Official statisticReport
2007105,920$48,320BLS OEWS May 2007 Official statisticReport
2008110,010$49,990BLS OEWS May 2008 Official statisticReport
2009105,040$50,800BLS OEWS May 2009 Official statisticReport
201099,160$51,470BLS OEWS May 2010 (employment) Official statisticBLS OEWS (pay) Official statisticReport
201198,990$52,380BLS OEWS May 2011 Official statisticReport
201299,040$53,880BLS OEWS May 2012 Official statisticReport
201398,790$54,150BLS OEWS May 2013 Official statisticReport
201497,350$54,890BLS OEWS May 2014 Official statisticReport
201596,690$56,010BLS OEWS May 2015 Official statisticReport
201697,170$57,210BLS OEWS May 2016 Official statisticReport
201796,890$58,770BLS OEWS May 2017 Official statisticReport
201895,750$59,480BLS OEWS May 2018 Official statisticReport
201995,970$61,370BLS OEWS May 2019 Official statisticReport
202093,370$63,400BLS OEWS May 2020 (employment) Official statisticBLS OEWS (pay) Official statisticReport
202188,780$63,350BLS OEWS May 2021 Official statisticReport
2022101,430$73,080BLS OEWS May 2022 Official statisticReport
202395,700$75,020BLS OEWS May 2023 (employment) Official statisticBLS OEWS May 2023 (pay) Official statisticReport
202495,480$75,260BLS OEWS May 2024 Official statisticReport
202591,690$77,920BLS OEWS May 2025 Official statisticReport
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