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Distribution and warehouse managers

Official title Transportation, Storage, and Distribution Managers (SOC 11-3071)

Also called Transportation manager, Distribution manager, Warehouse manager, DC manager, Distribution center manager

In brief

In May 2025, BLS counted 221,180 US distribution and warehouse managers, with median pay of $107,230 a year. Of the BLS counts since 2003, the May 2025 count is the highest. The earliest figure here is an estimate of 32,000 from 1900, not measured the same way as today's count. The last full technology era for distribution and warehouse managers: Digital twin + AI route optimization + LLamasoft supply-chain design, 2012 to 2020.

What the sources say

Official outlook

BLS projects employment to grow 6.1% from 2025 to 2035.

BLS Employment Projections 2025-35

AI exposure studies

  • 47.3% of this job's tasks are exposed to large language models. Not a forecast of job losses. Eloundou and others, 2023
  • 0.59 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 0.59. BLS counted 102,610 of these jobs in May 2013 and 221,180 in May 2025 (+116%, 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). Distribution and warehouse managers: jobs and pay since 1900 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/11-3071

Chicago

Future History. "Distribution and warehouse managers: jobs and pay since 1900." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/11-3071.

BibTeX

@misc{futurehistory_11_3071, author = {{Future History}}, title = {Distribution and warehouse managers: jobs and pay since 1900}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/11-3071}}, 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
2026
Known then as Railroad Freight Agent / Division Freight Superintendent
Known then as Traffic Manager / Warehouse Superintendent
Known then as Traffic Manager / Distribution Manager (ICC-regulated era)
Known then as Distribution Manager / Physical Distribution Manager
Known then as Logistics Manager / Distribution Center Manager / Fleet Manager
Known then as Supply Chain Manager / Logistics Director / DC Manager
Known then as Transportation, Storage, and Distribution Manager (BLS SOC 11-3071)
Known today as Transportation, Storage, and Distribution Manager (BLS SOC 11-3071)
Projected to still be called Transportation, Storage, and Distribution Manager (BLS SOC 11-3071)
Data from the May 2025 survey
US Employment
221K
Est.

Stated in source: BLS OEWS

Official statistic
Report an error
Median Annual Wage
$107,230

≈ $104,481 in 2024 prices (derived by us, CPI-adjusted)

Official statistic
Report an error
Beat · 1869

May 10, 1869: The golden spike is driven at Promontory Summit, Utah, completing the First Transcontinental Railroad. The event connects 1,912 miles of track and links the Pacific coast to the existing eastern rail network for the first time. The immediate commercial consequence is a continental freight market that requires professional management. Within a decade, the railroad has spawned the first generation of American logistics managers: railroad freight agents responsible for car management, tariff compliance, and loss-and-damage claims across a geographically dispersed network no owner could personally supervise.

Beat · 1935

The Motor Carrier Act of 1935 brings interstate trucking under Interstate Commerce Commission rate and route regulation for the first time. The act establishes the legal and economic framework for the trucking industry that will persist for 45 years, fixed rates, restricted entry, and ICC certification requirements for interstate carriers. For transportation managers, the regulatory structure means freight management is largely a compliance function: file the tariff, follow the route, pay the rate. The act also accelerates the growth of the corporate traffic department, since shippers need specialists who can navigate the ICC tariff system.

Beat · 1956

Two events in 1956 define the next 40 years of distribution management. On April 26, Malcolm McLean's SS Ideal-X departs Port Newark with 58 containers, beginning the containerization revolution. Cargo handling costs fall from $5.86 per ton to $0.16 per ton. On June 29, President Eisenhower signs the Federal Aid Highway Act, authorizing the 41,000-mile Interstate Highway System. Container ports and highway interchanges become the nodes around which the modern distribution center network is built. The distribution manager's job transforms from managing rail freight agents to planning facility locations, truck routes, and intermodal connections.

Beat · 1963

The National Council of Physical Distribution Management (NCPDM) is founded: the first professional association specifically for distribution and logistics managers. The name itself is a statement: the founders are asserting that "physical distribution" (the movement and storage of finished goods) is a distinct management function deserving its own professional identity, separate from both traffic management (which focused on freight rates) and production management (which focused on manufacturing). The NCPDM would later rename itself the Council of Logistics Management (CLM) in 1985 and the Council of Supply Chain Management Professionals (CSCMP) in 2005, tracking the field's conceptual evolution from physical distribution to logistics to supply chain.

Beat · 1980

President Carter signs the Motor Carrier Act of 1980 on July 1: "historic legislation," in his words, that removes 45 years of federal rate and route restrictions on the trucking industry. The deregulation is immediate and dramatic: licensed carriers double from ~20,000 to over 40,000 by 1990; freight rates fall 25-40% in real terms; Teamster wage premiums erode as non-union competitors enter the market. For transportation managers, deregulation converts the job from tariff compliance to strategic sourcing: they now must select from dozens of competing carriers, negotiate private contracts, and manage carrier performance rather than simply accepting ICC-published rates. The transportation manager who can build a preferred carrier program and extract cost savings becomes a genuine competitive differentiator for their employer.

Beat · 1994

NAFTA comes into force on January 1, 1994, integrating the US, Canadian, and Mexican freight markets for the first time. Cross-border logistics management (coordinating customs documentation, Mexican maquiladora production schedules, and US distribution center inventory) becomes a distinct subspecialty. US-Canada-Mexico trade grows from $337 billion in 1993 to $1.2 trillion by 2011. The same year, Amazon is incorporated (July 5, 1994) and begins selling books online from a garage in Bellevue, Washington. Within three years Amazon will open its first fulfillment center, beginning the e-commerce buildout that will ultimately produce more transportation and distribution management jobs than any other industry shift in the occupation's history.

Beat · 2021

By late 2021, the COVID supply-chain crisis reaches its most visible inflection point. Over 100 container ships sit at anchor outside the Ports of Los Angeles and Long Beach simultaneously, waiting weeks for a berth. Americans encounter more than 2 billion out-of-stock messages online in October alone, double the 2020 rate. Shortages extend across electronics, toys, furniture, and automotive parts. The Port of Los Angeles, normally the highest-volume port in the Western Hemisphere, falls behind Hamburg in container throughput for the first time. Television news explains to general audiences what a "distribution manager" does. Boards of directors ask their supply-chain teams questions they had never asked before. The occupation's organizational status, permanently elevated by the crisis, is one reason OEWS employment grew from 132,040 in 2019 to 213,000 by 2024.

Beat · 2024

BLS projects +6.1% employment growth for transportation, storage, and distribution managers 2024-2034, from 216,700 to 229,800: faster than average. The median annual wage reaches $102,010, crossing the six-figure threshold for the first time. Generative AI demand-forecasting tools (Blue Yonder Luminate, o9 Solutions integrated business planning) begin deploying natural-language interfaces that let managers query complex inventory scenarios in plain English. Reshoring and nearshoring investments, driven by COVID lessons and CHIPS Act + IRA incentives, create a new wave of domestic distribution network buildout that requires professional management. The occupation sits at the intersection of three long-term structural trends: continued e-commerce volume growth, supply-chain resilience investment, and AI augmentation of planning and forecasting tasks.

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 distribution and warehouse managers? 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
+6.1%
BLS National Employment Matrix, 2025-35 cycle, line for SOC 11-3071 (Transportation, storage, and distribution managers): 228.1 thousand jobs in 2025, projected 242.1 thousand in 2035, a change of +14.0 thousand (+6.1%). Matrix employment counts all jobs in the occupation, including self-employed workers (3.6% 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)
59%
probability
What this measures

Published appendix value for SOC 2010 11-3071 Transportation, Storage, and Distribution Managers: probability of computerisation 0.59, rank 328 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)
47.3%
of tasks
What this measures

Published occupation-level exposure from the paper's occ_level.csv for O*NET-SOC 11-3071.00 Transportation, Storage, and Distribution Managers. Shown: human-rated β = 0.473, 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) 0.179 and γ (all LLM-assisted) 0.768; GPT-4-rated β 0.482. 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 distribution and warehouse managers

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

AI is sitting alongside you hereOversee route optimization and dispatch operations using AI TMS platforms (Trimble TMS, McLeod IQ, Routific): review AI-generated daily dispatch plans, load assignments, and route sequences

Oversee route optimization and dispatch operations using AI TMS platforms (Trimble TMS, McLeod IQ, Routific): review AI-generated daily dispatch plans, load assignments, and route sequences; approve or modify AI recommendations where real-world constraints override the optimization model (driver preference on a lane with a key customer, bridge weight restrictions not in the map data, a customer dock with unofficial scheduling constraints); monitor intraday execution against the AI-generated plan; authorize expediting decisions and mode shifts when AI exception alerts indicate at-risk deliveries.[10],[11],[7]

Where your edge is

AI dispatch platforms optimize for cost and time against their configured constraint set: they have no way to know that your best driver on the Chicago lane has been building a relationship with the DC receiving manager for three years, or that a particular customer's loading dock becomes inaccessible after 2pm on Tuesdays. Build a structured process for capturing and updating the informal constraints that the optimization model needs: a living list of customer-specific instructions, driver-lane preferences, and equipment-type restrictions that gets reviewed and updated quarterly. Your job shifts from making dispatch decisions to ensuring the system is making them with the right information.

AI is sitting alongside you hereAnalyze logistics network cost and service-level performance to identify optimization opportunities: use Oracle Cloud Logistics AI, SAP Transportation Management AI, or Blue Yonder TMS to run lane-level cost, OTIF, and capacity utilization analyses

Analyze logistics network cost and service-level performance to identify optimization opportunities: use Oracle Cloud Logistics AI, SAP Transportation Management AI, or Blue Yonder TMS to run lane-level cost, OTIF, and capacity utilization analyses; identify consolidation, modal shift, or regional DC placement opportunities; model network redesign scenarios with NPV and service-level trade-off analysis; present recommendations to VP/C-suite with financial framing. AI platforms now generate scenario comparisons and sensitivity analyses that previously required an industrial engineering team: the Transportation/Distribution Manager's value shifts to the strategic framing and the implementation sequencing.[12],[4]

Where your edge is

Network optimization analysis is now fast enough that the bottleneck has shifted from generating the scenarios to choosing among them, and that choice involves organizational realities the model does not know: lease terms that lock you into a DC for three more years, a labor agreement that prevents volume shifts without notice, or a regional carrier relationship that is worth more than the lane-level model implies. Build the habit of documenting the organizational constraints that bound each scenario before presenting options to leadership, so the conversation is about trade-offs and sequencing rather than why the "optimal" scenario is impossible to implement.

Get started with these tools
AI is sitting alongside you hereGovern warehouse operations using AI-powered WMS platforms (Manhattan Active WMS, Blue Yonder Luminate): review AI-generated wave plans, labor management recommendations, and slot optimization outputs before each shift

Govern warehouse operations using AI-powered WMS platforms (Manhattan Active WMS, Blue Yonder Luminate): review AI-generated wave plans, labor management recommendations, and slot optimization outputs before each shift; approve or override AI recommendations based on constraints the system cannot see (inbound late arrivals, operator certification gaps, customer-priority changes); hold warehouse supervisors accountable to AI-generated productivity targets; direct corrective action when pick rates, dock-to-stock cycle time, or order accuracy fall below threshold.[13],[14]

Where your edge is

AI wave planning and labor management optimize against configured parameters: they cannot account for supervisors who know which operators are undertrained on a new product family, or that a receiving dock has been running many minutes behind all week. Build a structured pre-shift review cadence: several minutes with the AI-generated plan, followed by a direct supervisor check on the informal constraints the system does not model. Your value is the contextual override that prevents the AI from optimizing into a real-world failure.

Where distribution and warehouse managers go next

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

What each move takes

A direction you could grow

General and Operations Managers

Transportation, Storage, and Distribution Managers with multi-site P&L accountability, demonstrated cross-functional leadership, and measurable cost and service-level results are natural candidates for General and Operations Manager roles overseeing broader business units. The logistics domain provides concrete, financially measurable outcomes (cost-per-unit improvement, OTIF, inventory turns) that translate directly into the track record a GM role requires. BLS projects growth for General and Operations Managers through 2033; the transition barrier is broadening from logistics-specific functional expertise to full P&L ownership across sales, operations, finance, and HR. CRI upside is moderate but the scope and compensation premium is significant.

What you'd add
  • · Full P&L management: revenue, COGS, SG&A, and capital budget ownership beyond logistics cost centers
  • · Commercial skills: customer executive engagement, pricing trade-off negotiation, contract governance
  • · People leadership at scale: managing managers, organizational design, compensation structure, succession planning
  • · Strategic planning: annual operating plan development, market analysis, competitive positioning
  • · Financial modeling: business unit investment cases, M&A integration for operations leaders in growth companies
What it takesSome new skills to pick up
Tools of the era

How has the work of distribution and warehouse managers changed since 1869?

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

  • Telegraph + railroad waybill + ICC tariff schedule (the freight-agent era)

    The railroad freight agent's primary instruments were the telegraph (real-time location queries to connecting carriers), the waybill (the paper document that traveled with the freight and recorded each custody handoff), the freight tariff schedule (a printed book listing rates for every commodity between every pair of city pairs), and the loss-and-damage claim form. The job was fundamentally a paper-coordination problem: ensuring the right car was at the right loading dock at the right time, with the right paperwork, at the agreed rate. The freight agent who mastered the tariff schedule, which could run to hundreds of pages for a single railroad, had a genuine intellectual skill that took years to acquire. Billing errors, routing errors, and claim disputes were the primary failure modes; catching them required knowing the tariff better than the shipper did.

    Effect on the work

    The railroad network created the occupation from zero: there were no freight management professionals before the first trunk railroads (1840s-1860s). By 1900 the Census counted tens of thousands of railroad station and freight agents, of whom a significant minority had managerial authority over freight flows.

  • Traffic management as a corporate function: rate negotiation + ICC regulation (1935)

    When Standard Oil hired its first dedicated "traffic manager" in 1906, the job was to negotiate freight rates with the railroads rather than simply accept published tariffs. Large shippers had discovered that carriers would offer private rebates and special contracts to major customers; the traffic manager's job was to extract these concessions, monitor the accuracy of freight bills, and manage the company's private car fleet. The Motor Carrier Act of 1935 brought trucking under ICC rate regulation, creating a dual-mode freight market (rail + truck) that required traffic managers to optimize across both modes. By the 1940s, most large manufacturers and retailers had formal traffic departments staffed by rate clerks, claims analysts, and a traffic manager who reported to the controller or VP of operations.

  • Shipping container (McLean 1956) + Interstate Highway System (1956) + physical distribution management

    On April 26, 1956, Malcolm McLean's converted tanker SS Ideal-X departed Port Newark, New Jersey, carrying many thirty-five-foot containers to Houston, Texas. The Eisenhower Interstate Highway System (signed June 1956) simultaneously made long-haul trucking economically viable for freight that previously moved by rail, creating a new asset class: the distribution center, positioned near highway interchanges for truck-to-truck freight consolidation. Together, the container and the interstate highway created the modern distribution manager role: someone responsible not just for rates and claims but for the physical flow of inventory through a network of facilities.

    Effect on the work

    Containerization eliminated most of the longshoreman and freight-handling labor at major ports (a separate workforce) but created the intermodal logistics management function, coordinating ocean containers, rail chassis, and truck drayage through a single planned movement.

  • Motor Carrier Act deregulation (1980) + first TMS/WMS software + NAFTA (1994)

    The Motor Carrier Act of 1980, signed July 1, eliminated the ICC's rate and route restrictions on trucking. Licensed carriers jumped from ~20,000 (1980) to over 40,000 by 1990; rates fell 25-40% in real terms; and shippers gained the ability to negotiate private contracts with specific carriers. For transportation managers, deregulation converted a compliance function (filing tariffs with the ICC) into a strategic sourcing function (selecting and negotiating with dozens of competing carriers). The first transportation management systems (TMS) software appeared in the mid-1980s, initially mainframe-based load-planning tools, to help managers optimize carrier selection and freight payment audit. NAFTA (January 1, 1994) integrated US-Mexico-Canada trade, growing total bloc trade from $337B in 1993 to $1.2T by 2011, and created the cross-border logistics management subspecialty.

  • E-commerce fulfillment buildout (Amazon FCs 1997+) + ERP-integrated WMS/TMS + post-9/11 freight security

    Amazon opened its first fulfillment center in 1997 in Seattle, WA, and by the mid-2000s was building large-format fulfillment centers at interstate highway interchanges across the country: each one requiring a full distribution management team (DC general manager, operations manager, inbound manager, outbound manager, safety manager, IT manager). The proliferation of e-commerce fulfillment created the demand for a new subspecialty: DC manager, focused on high-velocity pick-pack-ship operations rather than the slower-moving bulk distribution of traditional retail. ERP-integrated WMS (SAP EWM, Manhattan Associates WMS, Oracle WMS) became standard for large-scale operations in this period.

    Effect on the work

    E-commerce fulfillment created more transportation/distribution management positions per revenue dollar than traditional retail distribution, because the pick-pack-ship model requires more direct operational oversight than bulk pallet distribution.

  • Digital twin + AI route optimization (Trimble, project44) + LLamasoft supply-chain design

    LLamasoft (founded 2001, Ann Arbor MI) pioneered supply-chain network design software that let logistics managers simulate their entire distribution network as a digital model, running scenarios for "what if we add a DC in Dallas?" or "what if we shift from full-truckload to intermodal?" against actual cost and transit-time data before committing to capital investment. Coupa Software acquired LLamasoft in October 2020, signaling that supply-chain simulation had become a mainstream enterprise function. Real-time visibility platforms (project44, FourKites) gave distribution managers live GPS-tracked freight positions for every in-transit shipment. Trimble and other TMS vendors added AI-driven load optimization (combining shipments, optimizing carrier selection, predicting transit times). The distribution manager's morning routine shifted from calling carriers to get status updates to reading a dashboard that surfaced exceptions automatically.

    Effect on the work

    Real-time visibility and AI exception-management tools expanded the number of shipments a single transportation manager could actively monitor, increasing the management span of control without proportional headcount growth.

  • COVID crisis + generative AI demand forecasting (o9 Solutions, Blue Yonder) + reshoring-driven growth

    The COVID-19 supply-chain crisis (2020-2022) was the occupation's organizational moment. Port backlogs at Los Angeles/Long Beach reached more than a hundred container ships at anchor simultaneously by late 2021. Over 2 billion out-of-stock messages appeared in October 2021 alone, double the 2020 rate. Companies that had treated logistics as a cost center to be minimized discovered that their supply-chain managers were the only people who could identify root causes and sequence recovery actions. Boards demanded visibility; supply-chain management teams were staffed up. Generative AI demand-forecasting tools (Blue Yonder's Luminate platform, o9 Solutions' integrated business planning platform) began deploying large-language-model interfaces that let managers query demand signals in natural language ("what is the probability of stockout in the Chicago DC by mid-November if inbound containers from Yantian are delayed 10 days?"). Reshoring and nearshoring decisions (driven by pandemic disruption and CHIPS Act / IRA incentives) created a wave of supply-chain network redesign projects, elevating the strategic dimension of the role. BLS 2024-34 now projects +6% employment growth.

    Effect on the work

    The COVID supply-chain crisis drove growth in OEWS transportation/distribution management employment between 2019 (132,040) and 2024 (213,000): the largest five-year employment surge in the occupation's recorded history.

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Transportation, Storage, and Distribution Managers employment and pay by year

On record since1869
Latest US employment221,180 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Latest US median pay$107,230 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Outlook+6.1% by 2035Source: BLS Employment Projections 2025-35Official statisticReport an error
View all 28 years of cited US data, each linked to its source
YearUS employmentAnnual pay (median unless marked)SourceReport
190032,000n/aEst., Bureau of Transportation Statistics Researched contextReport
193568,000n/aEst., Wikipedia Researched contextReport
1960110,000n/aEst., PR Newswire Researched contextReport
1980140,000n/aEst., Wikipedia Researched contextReport
2000116,680$54,230BLS OEWS 2000 Official statisticReport
200397,450$63,590BLS OEWS May 2003 Official statisticReport
200488,100$66,600BLS OEWS May 2004 Official statisticReport
200584,870$69,120BLS OEWS May 2005 Official statisticReport
200689,010$73,080BLS OEWS May 2006 Official statisticReport
200792,790$76,310BLS OEWS May 2007 Official statisticReport
200896,300$79,000BLS OEWS May 2008 Official statisticReport
200992,380$79,490BLS OEWS May 2009 Official statisticReport
201090,280$80,210BLS OEWS May 2010 Official statisticReport
201192,150$80,860BLS OEWS May 2011 Official statisticReport
201298,600$81,830BLS OEWS May 2012 Official statisticReport
2013102,610$83,890BLS OEWS May 2013 Official statisticReport
2014106,000$85,400BLS OEWS May 2014 Official statisticReport
2015109,210$86,630BLS OEWS May 2015 Official statisticReport
2016113,270$89,190BLS OEWS May 2016 Official statisticReport
2017118,680$92,460BLS OEWS May 2017 Official statisticReport
2018124,810$94,730BLS OEWS May 2018 Official statisticReport
2019132,040$94,560BLS OEWS May 2019 (employment) Official statisticBLS OEWS May 2019 (pay) Official statisticReport
2020132,210$96,390BLS OEWS May 2020 Official statisticReport
2021144,640$98,230BLS OEWS May 2021 Official statisticReport
2022169,910$98,560BLS OEWS May 2022 Official statisticReport
2023198,780$99,200BLS OEWS May 2023 Official statisticReport
2024213,000$102,010BLS OEWS May 2024 Official statisticReport
2025221,180$107,230BLS OEWS May 2025 Official statisticReport
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