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Retail salespeople

Official title Retail Salespersons (SOC 41-2031)

Also called Retail sales associate, Sales associate, Sales floor associate, Retail consultant, Sales advisor

In brief

In May 2025, BLS counted 3,897,860 US retail salespeople, with median pay of $35,410 a year. Of the BLS counts since 2003, the highest was 4,612,510, in May 2015. The earliest figure here is an estimate of 8,000 from 1880, not measured the same way as today's count. The last full technology era for retail salespeople: BOPIS + loss prevention technology, 2015 to 2023.

What the sources say

Official outlook

BLS projects little or no change in employment from 2025 to 2035 (-0.3%).

BLS Employment Projections 2025-35

AI exposure studies

  • 35.5% of this job's tasks are exposed to large language models. Not a forecast of job losses. Eloundou and others, 2023
  • 0.92 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 0.92. BLS counted 4,485,180 of these jobs in May 2013 and 3,897,860 in May 2025 (-13%, a change derived by Future History).

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). Retail salespeople: jobs and pay since 1880 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/41-2031

Chicago

Future History. "Retail salespeople: jobs and pay since 1880." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/41-2031.

BibTeX

@misc{futurehistory_41_2031, author = {{Future History}}, title = {Retail salespeople: jobs and pay since 1880}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/41-2031}}, 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
187519001925195019752000now
Country
2026
Known then as Department Store Clerk / Counter Clerk (department store formation era)
Known then as Sales Clerk / Salesgirl / Salesperson (gendered, standardized labor era)
Known then as Sales Clerk / Retail Salesperson (post-EEOC, desegregation era)
Known then as Sales Associate / Retail Sales Associate (customer-service rebranding era)
Known then as Retail Salespersons (BLS SOC 41-2031)
Known today as Retail Salespersons (BLS SOC 41-2031)
Projected to still be called Retail Salespersons (BLS SOC 41-2031)
Data from the May 2025 survey
US Employment
3.90M
Est.

Stated in source: BLS OEWS

Official statistic
Report an error
Median Annual Wage
$35,410

≈ $34,502 in 2024 prices (derived by us, CPI-adjusted)

Official statistic
Report an error
Beat · 1858

October 28, 1858: Rowland Hussey Macy opens a small dry goods store at 204-206 Sixth Avenue in New York City. First-day sales total $11.06. The store is far north of the city's then-existing retail district: a deliberate choice to serve the northward-expanding middle class of Manhattan. Macy's would grow into the largest store in the world by the early 20th century, becoming a model for the professional retail floor workforce.

Beat · 1879

James Ritty, a bar owner in Dayton, Ohio, invents the mechanical cash register, which he calls the "Incorruptible Cashier", to stop his employees from stealing. He patents it in 1879 and sells the business in 1881; John H. Patterson renames it the National Cash Register Company in 1884. Within 20 years, NCR's registers are in virtually every US retail store. The cash register transforms the retail clerk's job from informal money-handling into a structured, machine-mediated transaction.

Beat · 1890

By 1890, female retail sales clerks outnumber male clerks in department stores. The department store's fixed-price model made the personal negotiation skills traditionally associated with male salesmen unnecessary; retailers preferred women, whom they could pay less. Industry sociologists labeled the salesgirl position "the Cinderella of occupations": glamorous on the surface, exhausting and poorly compensated in practice. Long hours on feet, strict dress codes, mandatory politeness toward all customers regardless of behavior, and wages that barely covered lodging were standard.

Beat · 1962

Sam Walton opens the first Walmart store in Rogers, Arkansas on July 2, 1962. Walmart's model (warehouse-style layout, self-service, minimal floor salespeople relative to store size, and competition on price rather than service) would become the dominant retail format of the late 20th century. Walmart's rise suppressed retail floor-sales employment growth by reducing the labor intensity per square foot of retail space.

Beat · 1974

June 26, 1974, 8:01 a.m.: Cashier Sharon Buchanan scans a 10-pack of Wrigley's Juicy Fruit gum at a Marsh Supermarket in Troy, Ohio, the first commercial UPC barcode scan in history. The scanner was an NCR Electronic System 255. Clyde Dawson, Marsh's head of R&D, had chosen gum because nobody believed a barcode could be printed on something so small. The pack of gum now lives in the Smithsonian Institution. The barcode scan was the technological hinge point that eventually made self-checkout and cashierless retail possible, but it took 50 more years for those endpoints to become economically viable.

Beat · 1992

The first self-checkout system in the world is installed at a Price Chopper supermarket in Clifton Park, New York, using a U-Scan system from Optimal Robotics of Montreal. Kroger begins rolling out U-Scans in 1995. NCR installs its first self-checkout at Ball's Food Stores in Kansas City in 1998. By 2003, NCR and Optimal Robotics are the two main players; NCR acquires Optimal's self-checkout business for $30 million in 2004. Self-checkout will eventually handle roughly 40% of US retail checkout transactions by 2020, with the floor salesperson workforce affected primarily through reduced staffing ratios per store square foot rather than direct displacement of floor sales roles.

Beat · 2018

January 22, 2018: Amazon opens Amazon Go to the public in Seattle, a convenience store with no checkout lines and no cashiers, using computer vision, sensor fusion, and deep learning to track what customers take. The "Just Walk Out" technology had been in employee testing since December 2016. Amazon Go was widely covered as the retail future. Forty-eight months later, Amazon had closed eight Go stores in cost-cutting moves. In April 2024, Amazon removed Just Walk Out from most of its full-size Fresh grocery stores. In January 2026, Amazon announced it would close all remaining Go and Fresh locations. The cashierless future arrived and retreated, at least in Amazon's implementation.

Beat · 2022

NRF's 2023 National Retail Security Survey reports that retail shrink hit $112.1 billion in losses in 2022, up from $93.9 billion in 2021: a record high. External theft (including organized retail crime) accounted for 36% of shrink; internal theft 29%; process/control errors 27%. Retailers responded by locking merchandise behind glass cases (a practice that became ubiquitous in drugstores and mass retail), adding floor staff specifically for security purposes, and investing in AI-powered CCTV analytics. For the retail salesperson, the theft surge added a de facto loss-prevention dimension to the job that had not previously been explicit in most floor-sales roles.

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 retail salespeople? 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
-0.3%
BLS National Employment Matrix, 2025-35 cycle, line for SOC 41-2031 (Retail salespersons): 3,998.1 thousand jobs in 2025, projected 3,984.1 thousand in 2035, a change of -14.0 thousand (-0.3%). Matrix employment counts all jobs in the occupation, including self-employed workers (3% 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.
Frey & Osborne (2013), "The Future of Employment"
2013 study · Probability of computerisation (2013 model)
92%
probability
What this measures

Published appendix value for SOC 2010 41-2031 Retail Salespersons: probability of computerisation 0.92, rank 570 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
Eloundou et al. (2023), "GPTs are GPTs"
2023 study · Share of tasks exposed to LLMs (β, human-rated)
35.5%
of tasks
What this measures

Published occupation-level exposure from the paper's occ_level.csv for O*NET-SOC 41-2031.00 Retail Salespersons. Shown: human-rated β = 0.355, 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) 0.263 and γ (all LLM-assisted) 0.447; GPT-4-rated β 0.342. This measures how much of the work an LLM could touch, not how many jobs disappear.

Official statisticReport an error
Today, in this role

What's changing day to day for retail salespeople

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

AI is taking this onProcess customer payments through POS systems (card, contactless, split tender, gift card)

Process customer payments through POS systems (card, contactless, split tender, gift card); handle returns and exchanges per store policy; manage loyalty point accrual and redemption; escalate declined transactions or security-hold items.[2],[9]

Where your edge is

Stay current with your store's POS system updates, especially mobile POS that lets you close a sale anywhere on the floor instead of directing customers to a register. Being the associate who can complete a transaction at the fitting room or display saves the sale and distinguishes you from the self-checkout lane.

AI is sitting alongside you hereLook up real-time inventory across all locations and channels using a unified associate app

Look up real-time inventory across all locations and channels using a unified associate app; offer ship-from-store, transfer, or endless-aisle alternatives when the item is out of stock in-store; place the order before the customer leaves.[5],[12]

Where your edge is

Master your store's unified inventory tool so you never lose a sale to an "out of stock" answer. When an item is not on the shelf, pivot immediately to the alternative: ship-to-home, in-store pickup at another location, or a waitlist. Customers who receive a same-session resolution rarely walk.

AI is sitting alongside you hereSend AI-assisted follow-up messages to recent customers: use Tulip AI messaging suggestions to notify clients of relevant new arrivals, restocks, and loyalty milestones

Send AI-assisted follow-up messages to recent customers: use Tulip AI messaging suggestions to notify clients of relevant new arrivals, restocks, and loyalty milestones; personalize AI-drafted texts/emails before sending; track response rates and adjust outreach cadence.[6],[11]

Tools picking this up
Where your edge is

Treat your customer contact list as an asset you own. Use Tulip AI drafts as a starting point but always add one personal detail (referencing what they were shopping for, their name in context) before sending. Generic AI blasts perform no better than mass promotions; personalized ones drive the 70% conversion lift.

Where retail salespeople go next

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

What each move takes

The most common upward move from retail sales associate is into first-line supervisor. In 2025-2026, stores are prioritizing associates who can manage AI tool adoption alongside traditional floor supervision: training staff on clienteling apps, interpreting AI sales analytics for the team, and coordinating omnichannel fulfillment workflows. Associates who already use Tulip AI or Agentforce fluently and can coach peers on it are natural candidates for supervisor roles, often without additional credentials.

What you'd add
  • · Retail team scheduling and labor budgeting basics (often trained in-store)
  • · Coaching and feedback skills for a mixed-age, mixed-tech-fluency team
  • · Inventory control and shrink-reduction processes
  • · Reading and acting on store-level AI analytics dashboards (Tulip, Agentforce)
What it takesMost of your skills carry over
Tools of the era

How has the work of retail salespeople changed since 1858?

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

  • Counter service + ledger (pre-cash register department store era)

    The floor clerk of the department store era operated without a cash register: prices were fixed (a retail innovation in itself, fixed-price selling replaced the previous norm of individual negotiation), transactions were recorded by hand in ledgers, and change was made from an open cash drawer or by sending payment via pneumatic tube or messenger to a central cashier. The clerk's entire job was embodied knowledge: knowing the stock, reading the customer, guiding the selection, and completing the sale. No machine assisted.

  • Mechanical cash register (NCR, from 1879)

    James Ritty invented the mechanical cash register in Dayton, Ohio in 1879, he called it the "Incorruptible Cashier", to solve a specific problem: his bartenders were pocketing cash. John H. Patterson bought Ritty's patents in 1884 and renamed the company the National Cash Register Company. Within two decades NCR had introduced the paper receipt and the cash drawer, and the register was in nearly every retail store in the United States. For the floor salesperson, the register did not eliminate a task: it created a workflow: every transaction now ended at a mechanical device, structuring the sale into steps the machine enforced. The cash register is the first tool to impose a technology-mediated cadence on the retail transaction.

    Effect on the work

    The cash register transformed the retail clerk from a generalist who handled money informally into someone working within a mechanical accountability system. It reduced embezzlement substantially (NCR marketed it heavily on this feature) and standardized the transaction format across retail.

  • Magnetic-stripe credit card + POS terminals (Diner's Club 1950, BankAmericard 1958, Visa/MC 1976)

    The magnetic-stripe credit card, while invented in the 1950s, reached mass retail adoption through the 1960s and 1970s as Visa and Mastercard built out merchant acceptance networks. For the floor salesperson, the credit card added a new skill requirement: running the card through an imprinter (the manual "knucklebuster"), calling an authorization number for large purchases, and managing the social dynamics of declined cards. Electronic POS terminals arrived in the late 1970s (1973; Verifone founded 1981) and by the mid-1980s had replaced paper imprinters in most larger retailers. The card-present transaction became the salesperson's closing ritual.

  • UPC barcode scanner (first commercial scan: Marsh Supermarket, Troy OH, June 26, 1974)

    At 8:01 a.m. on June 26, 1974, a Marsh Supermarket cashier named Sharon Buchanan scanned a 10-pack of Wrigley's Juicy Fruit gum at a Troy, Ohio checkout lane, the first commercial UPC barcode scan in history. The scanner was an NCR Electronic System 255. Clyde Dawson, Marsh's head of R&D, had chosen the gum because nobody was sure a barcode could be printed on something so small. The pack of gum now lives in the Smithsonian. The barcode scanner transformed grocery and mass retail checkouts dramatically, price lookup moved from memorization to database, but its effect on the floor salesperson was more indirect. The technology that mattered for floor sales was the back-end inventory integration: for the first time, a salesperson could look up whether an item was in stock in a specific size and color from a terminal, rather than counting boxes in the stockroom.

    Effect on the work

    Barcode scanning in grocery accelerated the separation between checkout function (eventually moving toward cashierless) and floor sales function. In non-grocery retail, barcodes enabled perpetual inventory systems that gave floor salespeople real-time stock information for the first time.

  • IBM 4683 POS + electronic inventory (SKU-level stock visibility)

    IBM's POS terminal, introduced in 1985, became the dominant mid-size retail POS system of the late 1980s and early 1990s: used by JCPenney, Sears, Macy's, and Target. Retail chains could now track inventory at the SKU level in near-real time, enabling the floor salesperson to check availability across sizes, colors, and store locations without going to the stockroom. This reduced one of the most common floor-sales friction points: "Let me check if we have that in your size." The integrated POS systems of the 1990s were also the technical foundation on which e-commerce would later be built, the same inventory database that told floor salespeople what was available would, within a decade, tell online shoppers the same thing.

  • Self-checkout (Price Chopper 1992; Kroger 1995; Home Depot, Walmart 2000s)

    The first self-checkout system in the world was installed in 1992 at a Price Chopper supermarket in Clifton Park, New York, using a U-Scan system from Optimal Robotics of Montreal. Kroger began rolling out U-Scans in 1995. NCR introduced its own FastLane self-checkout in 1998; Home Depot announced installation in hundreds of stores by 2008. Self-checkout is the first retail technology that directly substituted for the cashier function rather than augmenting it, but its effect on floor salespeople was indirect. The checkout function was always a minor part of the floor salesperson's job; the self-checkout era freed floor associates from register duty in some formats while simultaneously reducing the total need for labor-hours across a store.

    Effect on the work

    Self-checkout adoption broadly tracked the shift from cashier-heavy grocery formats toward lower-touch general merchandise formats. By 2020, a large share of all US retail checkouts used some form of self-service. The cashier (41-2011) workforce absorbed the brunt of this displacement; the floor salesperson workforce was affected but less directly.

  • E-commerce (Amazon 1995 launch through the "retail apocalypse" media era)

    Amazon launched in July 1995 as an online bookstore; by 2000 it had expanded to electronics, toys, and most major categories. US e-commerce grew between 2000 and 2015, a small share of total retail. The e-commerce effect on floor salespeople was not linear: category-killing worked faster in books (Borders closed 2011; Books-a-Million contracted sharply), electronics (Circuit City closed 2009; RadioShack started its long exit), and music (Tower Records closed 2006) than in apparel, home goods, or luxury. The term "retail apocalypse" entered media coverage around 2015-2017, coinciding with significant Sears and JCPenney closures. Employment of retail salespersons peaked in 2015 and declined steadily afterward.

  • Mobile POS + clienteling apps (Apple EasyPay 2007, Square 2009)

    Apple Store EasyPay, launched around 2007, let Apple Store specialists complete a purchase anywhere on the sales floor: the customer never had to approach a register. Square launched in 2009 and democratized mobile POS for small retailers. The effect on the floor salesperson role was architectural: the register lost its fixed location, and the checkout function merged back into the sales conversation. This was not automation of the salesperson but redesign of how the salesperson's work ended. Apple's model (highly trained, mobile-POS-equipped specialists who combined product expertise with immediate payment capability) became the aspirational template for the surviving in-store sales role.

  • BOPIS (buy online, pick up in store) + loss prevention technology (EAS tags, CCTV analytics)

    BOPIS (buy online, pick up in store) grew from a niche convenience to a mass retail channel between 2015 and 2020, accelerating sharply during COVID. BOPIS created a new floor-salesperson task: order fulfillment and handoff for customers who had never entered the store in the purchasing sense. Simultaneously, the post-2020 organized retail crime wave elevated loss prevention to a primary preoccupation on the retail floor. Electronic article surveillance (EAS) tags, CCTV analytics, and locked merchandise displays became ubiquitous, with floor salespeople increasingly responsible for managing access to locked cases and recognizing theft patterns.

  • Cashierless stores: Amazon Go (January 2018 debut, January 2026 closure announcement)

    Amazon Go opened to the public in Seattle on January 22, 2018: a store with no checkout lanes, no cashiers, and no floor sales associates in the traditional sense. Sensors and computer vision tracked what customers took off shelves and charged their accounts automatically. The store was widely covered as a preview of the near-future retail floor. Amazon eventually closed all Amazon Go and Amazon Fresh locations in early 2026, citing a strategic shift toward Whole Foods expansion. The barrier was not the sensor technology but the economics: at most a few dozen people in a small-format store, extremely capital-intensive infrastructure per location, difficulty with high-traffic formats. The lesson is not that cashierless technology failed; it is that the format constraints are steeper than the 2018 coverage suggested.

    Effect on the work

    Amazon Go employed no checkout staff but did employ floor associates for restocking and customer assistance. At peak the US Amazon Go fleet was a few dozen stores: too small to generate statistically detectable effects on BLS 41-2031 employment. The symbolic effect on retail labor psychology was far larger than the actual headcount impact.

  • AI shopping assistants + inventory intelligence (Shopify Magic, generative product discovery)

    Shopify Magic (launched 2023) and similar AI tools (ChatGPT-based shopping assistants, AI-generated product descriptions, and conversational commerce interfaces) began shifting product discovery and pre-purchase research further toward the digital channel. For the floor salesperson, these tools represent a rebalancing rather than a displacement: customers increasingly arrive with AI-informed research already done and use the in-store visit to confirm sensory experience (fit, feel, appearance) or to resolve a complex trade-off that the chatbot couldn't settle. The surviving floor salesperson role concentrates increasingly on exactly this: the information gap that AI cannot close without physical access to the product. Whether AI tools also enable the salesperson (through in-ear prompts, mobile product intelligence dashboards, or CRM-linked clienteling tools) is an open design question that retailers are actively piloting as of 2025-26.

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Retail Salespersons employment and pay by year

On record since1858
Latest US employment3,897,860 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Latest US median pay$35,410 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Outlook-0.3% 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 64100)

    Employment, 2020
    629,295, Statistics Canada Census 2021 Official statistic Report an errorStatistics Canada Census of Population 2021: number of persons with employment income in NOC 64100 Retail salespersons and visual merchandisers, 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$42,000, Statistics Canada Census 2021 Official statistic Report an errorStatistics Canada Census of Population 2021 (Table 98-10-0586): median employment income for NOC 64100 Retail salespersons and visual merchandisers, Canada, reference year 2020, full-year full-time workers (the basis comparable to the US OEWS full-time median). Statistics Canada Open Licence.
  • United Kingdom (UK SOC 7111)

    Employment, 2025
    895,000, ONS ASHE 2025 Official statistic Report an errorONS Annual Survey of Hours and Earnings (Table 14): employee jobs in SOC 7111 Sales and retail assistants, United Kingdom, 2025 (ASHE "number of jobs", thousands x1000; excludes self-employment). Open Government Licence v3.0.
    Median pay, 2025
    £14,491, ONS ASHE 2025 Official statistic Report an errorONS Annual Survey of Hours and Earnings (Table 14.7a): median gross annual pay for all employee jobs in SOC 7111 Sales and retail assistants, United Kingdom, 2025. Open Government Licence v3.0.
  • Australia (ANZSCO 6211)

    Employment, 2025
    561,900, ABS Labour Force Survey March 2026 Official statistic Report an errorABS Labour Force Survey (Detailed), table EQ08: employed persons in ANZSCO 6211 Sales Assistants (General), national (summed across sex and state/territory), annual average of 4 quarterly estimates.
    Median pay, 2025
    A$64,532, ABS Employee Earnings May 2025 Official statistic Report an errorAnnualised (x52) from A$1,241 median weekly earnings. ABS Survey of Employee Earnings and Hours, May 2025: median pay for full-time non-managerial employees paid at the adult rate, before tax. Surfaced via the Jobs and Skills Australia occupation profile for ANZSCO 6211.
View all 29 years of cited US data, each linked to its source
YearUS employmentAnnual pay (median unless marked)SourceReport
18808,000n/aEst., New-York Historical Society Researched contextReport
189058,000n/aEst., New-York Historical Society Researched contextReport
19502,200,000n/aDecennial Census 1950 Researched contextReport
1956n/a$2,800BLS historical bulletin October 1956 Researched contextReport
1997n/a$17,970 (average)BLS OEWS 1997 Official statisticReport
20003,964,680$16,670BLS OEWS 2000 Official statisticReport
20033,992,930$18,090BLS OEWS May 2003 Official statisticReport
20044,130,470$18,680BLS OEWS May 2004 Official statisticReport
20054,344,770$19,140BLS OEWS May 2005 Official statisticReport
20064,374,230$19,760BLS OEWS May 2006 Official statisticReport
20074,429,060$20,150BLS OEWS May 2007 Official statisticReport
20084,426,280$20,510BLS OEWS May 2008 Official statisticReport
20094,209,500$20,260BLS OEWS May 2009 Official statisticReport
20104,155,190$20,670BLS OEWS May 2010 Official statisticReport
20114,270,550$21,010BLS OEWS May 2011 Official statisticReport
20124,340,000$21,110BLS OEWS May 2012 Official statisticReport
20134,485,180$21,140BLS OEWS May 2013 Official statisticReport
20144,562,160$21,390BLS OEWS May 2014 Official statisticReport
20154,612,510$21,780BLS OEWS May 2015 Official statisticReport
20164,528,550$22,680BLS OEWS May 2016 Official statisticReport
20174,442,090$23,210BLS OEWS May 2017 Official statisticReport
20184,448,120$24,200BLS OEWS May 2018 Official statisticReport
20194,317,950$25,250BLS OEWS May 2019 Official statisticReport
20203,659,670$27,080BLS OEWS May 2020 Official statisticReport
20213,693,490$29,120BLS OEWS May 2021 Official statisticReport
20223,640,040$30,600BLS OEWS May 2022 Official statisticReport
20233,684,740$33,680BLS OEWS May 2023 Official statisticReport
20243,800,250$34,580BLS OEWS May 2024 Official statisticReport
20253,897,860$35,410BLS OEWS May 2025 Official statisticReport
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