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Cardiovascular technologists

Official title Cardiovascular Technologists and Technicians (SOC 29-2031)

Also called Cardiovascular technician, CVT, RCVT, Cardiology technologist, Cardiology tech

In brief

In May 2025, BLS counted 62,960 US cardiovascular technologists, with median pay of $74,310 a year. Of the BLS counts since 2003, the May 2025 count is the highest. The earliest figure here is an estimate of 5,000 from 1950, not measured the same way as today's count. The last full technology era for cardiovascular technologists: AI patch monitors, 2014 to 2022.

What the sources say

Official outlook

BLS projects employment to grow 3.7% from 2025 to 2035.

BLS Employment Projections 2025-35

AI exposure studies

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 .

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APA

Future History. (2026, October 11). Cardiovascular technologists: jobs and pay since 1950 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/29-2031

Chicago

Future History. "Cardiovascular technologists: jobs and pay since 1950." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/29-2031.

BibTeX

@misc{futurehistory_29_2031, author = {{Future History}}, title = {Cardiovascular technologists: jobs and pay since 1950}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/29-2031}}, 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.

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1925195019752000now
2026
Known then as Electrocardiograph Operator / Cardiographer (hospital-based, physician-delegated)
Known then as Electrocardiograph Technician (EKG Technician)
Known then as EKG Technician / Cardiac Technician (pre-formal credentialing era)
Known then as Cardiovascular Technologist / EKG Technician (allied health recognition era)
Known then as Cardiovascular Technologists and Technicians (BLS SOC 29-2031)
Known today as Cardiovascular Technologists and Technicians (BLS SOC 29-2031)
Projected to still be called Cardiovascular Technologists and Technicians (BLS SOC 29-2031)
Data from the May 2025 survey
US Employment
63K
Est.

Stated in source: BLS OEWS

Official statistic
Report an error
Median Annual Wage
$74,310
Est.

≈ $72,405 in 2024 prices (derived by us, CPI-adjusted)

Official statistic
Report an error
Beat · 1909

Alfred E. Cohn brings the first electrocardiograph to the United States at Mount Sinai Hospital, New York City -- a string galvanometer of the Einthoven design. The machine weighs approximately 600 pounds and requires five people to operate. This is the origin of the occupation: within two decades, the EKG will have traveled from physics laboratory to hospital routine, and the cardiogram operator will become a permanent fixture on the hospital payroll.

Beat · 1924

Willem Einthoven receives the Nobel Prize in Physiology or Medicine for the invention of the electrocardiograph. In his acceptance remarks, Einthoven notes that the clinical ECG has by then become a routine diagnostic instrument in hospitals worldwide -- a transformation from research device to clinical standard that took just 23 years from his first string galvanometer.

Beat · 1961

Norman Holter demonstrates ambulatory cardiac monitoring in clinical use, having invented the technology in 1949. The first commercial Holter monitor reaches hospitals in 1963. The Holter monitor creates a new workflow that will occupy cardiovascular technicians for the next five decades: applying the device, retrieving it after 24-48 hours, downloading the analog tape, and manually scanning the continuous ECG trace -- foot-pedaling at high speed through hours of cardiac rhythm to find and classify arrhythmia events. Full-disclosure manual scanning is both the skill that defines the non-invasive CVT and the task most directly displaced by AI monitoring platforms fifty years later.

Beat · 1968

Cardiovascular Credentialing International (CCI) is established as a not-for-profit credentialing organization, issuing the first formal credentials for cardiovascular professionals. CCI's founding reflects a profession that had grown large enough to warrant standardized competency recognition -- though formal educational accreditation would not follow until 1985 (JRC-CVT). CCI will eventually offer nine certifications spanning both invasive and non-invasive subspecialties, with the Registered Cardiovascular Invasive Specialist (RCIS) credential becoming the primary qualification for cath lab technologists.

Beat · 1977

September 16, 1977: Andreas Gruentzig performs the first successful percutaneous transluminal coronary angioplasty on a human at University Hospital, Zurich. He presents the results at the American Heart Association meeting in November 1977. By the mid-1980s, over 300,000 PTCAs are being performed annually in the US. The interventional cardiology revolution is the single most important employment driver in the occupation's history: every cath lab performing angioplasty needs a skilled cardiovascular technologist to manage hemodynamic monitoring, vascular access, and procedural documentation.

Beat · 1981

December 1981: The American Medical Association Council on Medical Education officially recognizes cardiovascular technology as an allied health profession. An ad hoc committee convenes on April 29, 1982 in Atlanta to develop educational standards. The Joint Review Committee on Education in Cardiovascular Technology (JRC-CVT) holds its inaugural meeting in November 1985 and begins reviewing accreditation applications. The formal recognition moment marks the occupation's transition from informally trained hospital worker to a credentialed allied health profession with defined educational pathways.

Beat · 1994

FDA approves the Palmaz-Schatz coronary stent following positive results from the BENESTENT and STRESS clinical trials. Stenting rapidly becomes the default interventional strategy for coronary artery disease, replacing plain balloon angioplasty in most cath labs within five years. The stent era creates a step-change increase in cath lab procedure complexity and documentation requirements, cementing the cath lab CVT as an indispensable member of the interventional team rather than a supporting role.

Beat · 2014

iRhythm launches the Zio patch monitor commercially, introducing AI-powered arrhythmia analysis to ambulatory cardiac monitoring. The Zio patch generates a structured physician report pre-sorted by arrhythmia classification from a continuous multi-day ECG recording, without requiring a CVT to scroll raw traces. By 2025, over 5 million patients have been monitored via Zio. The platform creates a new subspecialty within the non-invasive segment: the "Qualified Cardiac Technician" (iRhythm's own classification) who manages large remote monitoring populations through AI-generated alert dashboards rather than manual ECG review.

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 cardiovascular technologists? 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
+3.7%
BLS National Employment Matrix, 2025-35 cycle, line for SOC 29-2031 (Cardiovascular technologists and technicians): 64.5 thousand jobs in 2025, projected 66.9 thousand in 2035, a change of +2.4 thousand (+3.7%). Matrix employment counts all jobs in the occupation, including self-employed workers (1.2% 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)
17.1%
of tasks
What this measures

Published occupation-level exposure from the paper's occ_level.csv for O*NET-SOC 29-2031.00 Cardiovascular Technologists and Technicians. Shown: human-rated β = 0.171, 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) 0.114 and γ (all LLM-assisted) 0.229; GPT-4-rated β 0.357. 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 cardiovascular technologists

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

AI is sitting alongside you hereApply, retrieve, and perform AI-assisted quality review of ambulatory Holter monitors and cardiac event monitors, applying a 24-to-48-hour Holter patch or multi-day event monitor to the patient with correct lead placement, providing patient instructions for the wear period, downloading and uploading the ECG recording after retrieval, and performing quality control review of the AI-generated arrhythmia summary (Cardiologs, iRhythm Zio AI) before routing the final report for cardiologist sign-off.

Apply, retrieve, and perform AI-assisted quality review of ambulatory Holter monitors and cardiac event monitors, applying a 24-to-48-hour Holter patch or multi-day event monitor to the patient with correct lead placement, providing patient instructions for the wear period, downloading and uploading the ECG recording after retrieval, and performing quality control review of the AI-generated arrhythmia summary (Cardiologs, iRhythm Zio AI) before routing the final report for cardiologist sign-off.[4],[5],[9]

Where your edge is

AI Holter analysis (Cardiologs, iRhythm Zio AI) is the most transformative AI tool in this occupation: it replaces the manual full-disclosure scrolling review that CVTs previously performed on ECG recordings, pre-sorting arrhythmia events by type and burden. At Cardiologs-equipped monitoring centers, CVTs review AI-generated event summaries rather than scrolling raw traces, handling more studies per shift. Your defensibility shifts fundamentally from pattern detection to AI quality oversight: reviewing whether the AI-classified events are correct (distinguishing true AFib from artifact, true VT from noise), understanding Cardiologs or Zio confidence scores, and catching systematic AI errors on patients with pacemakers, bundle branch blocks, or poor signal quality, patient types where AI classification accuracy degrades most. Develop expertise in AI Holter QC: this is the skill that keeps the CVT essential in a monitoring center that has deployed Cardiologs.

AI is sitting alongside you hereManage remote cardiac monitoring patient populations using AI-assisted alert triage, monitoring active ambulatory patch monitor cohorts (iRhythm Zio, KardiaCare) through AI-generated alert dashboards, triaging AI-classified arrhythmia alerts by clinical severity, escalating confirmed high-grade arrhythmias (sustained VT, complete heart block, symptomatic AFib) to the cardiologist or on-call physician, and managing the logistical workflow for monitor enrollment, active monitoring, and report closure for assigned patient panels.

Manage remote cardiac monitoring patient populations using AI-assisted alert triage, monitoring active ambulatory patch monitor cohorts (iRhythm Zio, KardiaCare) through AI-generated alert dashboards, triaging AI-classified arrhythmia alerts by clinical severity, escalating confirmed high-grade arrhythmias (sustained VT, complete heart block, symptomatic AFib) to the cardiologist or on-call physician, and managing the logistical workflow for monitor enrollment, active monitoring, and report closure for assigned patient panels.[5],[13]

Where your edge is

Remote cardiac monitoring is the fastest-growing non-invasive CVT subspecialty: AI tools (Zio AI, KardiaCare) make it possible for CVTs to manage monitoring populations of hundreds of concurrent patients that would be impossible with manual ECG review. The AI handles the pattern detection; your value is in the triage judgment that sits above the algorithm: understanding when a Zio AI-classified "possible AFib" is true AFib vs. artifact in a patient with known atrial flutter after ablation, or when a "high-rate episode" flag in a pediatric monitor patient is sinus tachycardia vs. SVT requiring escalation. Develop fluency with the AI alert severity tiers in your platform (Zio, KardiaCare), understand the patient-specific context that overrides algorithm classification, and build a systematic escalation decision habit: the monitoring center CVT who triages accurately with low false-positive escalation is clinically valuable in a way that the algorithm alone is not.

AI is sitting alongside you hereComplete cardiovascular procedure documentation and contribute to AI-generated report QC, entering procedural data into the cardiac catheterization, stress test, or Holter report within the cardiology information system (Epic Cardiology, Philips ISCV, GE MUSE), verifying that AI-generated measurement fields (QCA results, stress test ST analysis, Holter arrhythmia burden) accurately reflect the clinical findings before releasing the study for cardiologist sign-off, and flagging AI output discrepancies for correction.

Complete cardiovascular procedure documentation and contribute to AI-generated report QC, entering procedural data into the cardiac catheterization, stress test, or Holter report within the cardiology information system (Epic Cardiology, Philips ISCV, GE MUSE), verifying that AI-generated measurement fields (QCA results, stress test ST analysis, Holter arrhythmia burden) accurately reflect the clinical findings before releasing the study for cardiologist sign-off, and flagging AI output discrepancies for correction.[9],[1]

Where your edge is

AI measurement automation (QCA AI, stress test analysis AI, Holter AI summaries) is reducing the manual data-entry burden in cardiovascular procedure documentation: pre-populated AI fields for stress test Duke scores, Holter arrhythmia burdens, and QCA stenosis measurements eliminate transcription steps. The non-automatable documentation function is verification: AI-populated cath report QCA measurements need to be checked against the actual vessel anatomy on a case-by-case basis, particularly for complex lesions, overlapping anatomy, or vessels with artifact. A CVT who rubber-stamps AI-generated QCA measurements without visual verification is a documentation quality liability. Build verification-first documentation habits: confirm AI outputs against your direct procedural observation before attestation.

Where cardiovascular technologists go next

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

What each move takes

A direction you could grow

Medical and Health Services Managers

Senior CVTs with charge tech, cath lab coordinator, or cardiac monitoring center supervisor experience are well-positioned for cardiology department manager, cardiac catheterization lab director, and cardiac monitoring center director roles, tracked under Medical and Health Services Managers. As cardiology departments deploy AI monitoring platforms (Cardiologs, iRhythm ZioSuite) and cath lab AI tools (SyncVision, CAAS vFFR) at scale, health systems need managers who understand the clinical technology workflow and can govern AI platform deployment, performance monitoring, and vendor management. CVTs who take charge tech or team lead roles, contribute to AI platform selection and go-live projects, and develop budget and scheduling competency are building directly toward this pivot. Formal pathway: MHA (Master of Health Administration), CMPE (Certified Medical Practice Executive through MGMA), or the Medical Group Management Association's credential pathway for cardiology practice management.

What you'd add
  • · Charge tech / team lead experience in cath lab or cardiac monitoring center, managing case scheduling, staff assignments, vendor coordination, and QA compliance as stepping stones to management credibility
  • · Healthcare finance for cardiology: DRG reimbursement for cardiac catheterization (DRGs 246-252), outpatient CPT coding for non-invasive cardiac tests (93000-93278 ECG/stress/Holter), cardiac monitoring program ROI analysis
  • · AI vendor management in cardiology: evaluating cardiac monitoring AI platforms (Cardiologs vs. iRhythm vs. Biotricity), managing deployment agreements, monitoring AI algorithm performance metrics and false-positive/negative rates post-deployment
  • · Healthcare management credential: MHA, MBA with healthcare operations focus, or MGMA Certified Medical Practice Executive (CMPE), depending on whether target role is hospital-based cardiology department or outpatient cardiology practice management
  • · Regulatory and accreditation compliance: ACC Cardiac Catheterization Laboratory accreditation, HFAP or Joint Commission cardiology-specific standards, CMS Conditions of Participation for cardiac monitoring programs
What it takesSome new skills to pick up
Tools of the era

How has the work of cardiovascular technologists changed since 1909?

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

  • String galvanometer (Einthoven, 1901-1942): the original ECG machine

    The first electrocardiograph brought to the US in 1909 by Alfred Cohn at Mount Sinai was an Einthoven string galvanometer -- a device requiring five people to operate, with the patient's limbs submerged in buckets of salt water to make electrode contact. For the EKG operator of this era, the work was entirely manual: positioning the patient, achieving stable electrode contact, managing the fragile string element, and developing the paper trace. Cardiac interpretation remained exclusively the physician's domain; the technician's entire value was in producing a legible tracing.

  • 12-lead ECG standardization (Goldberger 1942, AHA 1954): the modern tracing format

    Emanuel Goldberger's 1942 augmented limb leads (aVR, aVL, aVF) completed the 12-lead format that is still the global standard today. Added to Einthoven's three limb leads and Wilson's six precordial leads (1934), the 12-lead ECG gave the EKG technician a defined and standardized procedural protocol: ten electrodes, a fixed acquisition sequence, and a consistent tracing format that cardiologists across institutions could read from the same visual schema. The American Heart Association published formal 12-lead standardization recommendations in 1954, cementing the format into hospital practice. For the EKG technician, standardization meant the job became teachable and repeatable -- a defined technical skill rather than an art form.

  • Holter monitor (Norman Holter, 1961): ambulatory cardiac monitoring

    Norman "Jeff" Holter invented ambulatory ECG monitoring in 1949 and demonstrated its clinical use beginning in 1961. The first commercial Holter monitor (1963) could record several hours of ECG activity; a 1968 "minimonitor" reduced the device to cigarette-package size, with commercial production beginning in 1969. The Holter monitor created a new subspecialty within the occupation: the Holter technician, who applied the monitor at the clinical visit and then -- after the patient returned -- downloaded the analog tape recording and manually scanned the resulting ECG trace, foot-pedaling through hours of rhythm at high speed to find and annotate arrhythmia events. Full-disclosure manual scanning was tedious, skilled pattern-recognition work that defined the non-invasive CVT role for three decades.

    Effect on the work

    Holter monitoring expanded the EKG technician role from a five-minute ECG acquisition into a multi-day monitoring workflow. The manual full-disclosure scanning task -- which could take several hours per study at high-volume cardiac monitoring centers -- defined the bulk of the non-invasive CVT's work until AI Holter analysis platforms (Cardiologs, iRhythm Zio AI) began displacing it after 2015.

  • Cardiac catheterization lab (Seldinger 1953, Judkins 1967): the invasive subspecialty is born

    Sven-Ivar Seldinger's percutaneous catheterization technique (1953) and Melvin Judkins's preformed femoral catheter system (1967) transformed cardiac catheterization from a surgical procedure requiring arterial cut-down into a repeatable percutaneous technique. Mason Sones's accidental selective coronary angiography in 1958 established the coronary angiogram as a diagnostic procedure. By the late 1960s, dedicated cardiac catheterization laboratories were being built at major hospitals, and physicians needed skilled assistants to manage hemodynamic monitoring consoles, prepare contrast injections, and monitor patient safety during the procedure. This was the origin of the invasive cardiovascular technologist -- distinct from the EKG technician, requiring comfort with sterile field management and hemodynamic monitoring, and eventually formalized by the RCIS credential from CCI.

  • PTCA / coronary angioplasty (Gruentzig 1977): interventional era begins

    Andreas Gruentzig performed the first successful percutaneous transluminal coronary angioplasty on September 16, 1977 at University Hospital, Zurich. He presented the results at the American Heart Association meeting two months later to a stunned audience. By the mid-1980s, over 300,000 PTCAs were being performed annually in the US, equaling the number of coronary bypass surgeries. By 1990, angioplasty had become the more common revascularization strategy for coronary artery disease. Each PTCA procedure required a skilled cath lab team: a physician, a scrub tech managing the sterile table, and a circulating cardiovascular technologist managing hemodynamic monitoring, pressure recordings, and procedural documentation. The explosion in PTCA volume drove rapid expansion in cath lab CVT employment through the 1980s and early 1990s.

    Effect on the work

    BLS OOH editions from the late 1980s and early 1990s cited rapid growth in cardiovascular technologist employment driven by the expansion of cardiac catheterization and interventional cardiology. The interventional expansion is the primary driver of employment growth in the occupation from 1977 through 2000.

  • Coronary stent era (FDA approval 1994): cath lab standardization and volume growth

    FDA approval of the Palmaz-Schatz coronary stent in 1994, following positive results from the BENESTENT and STRESS clinical trials, transformed interventional cardiology. Stenting rapidly became the default strategy for coronary revascularization, replacing plain balloon angioplasty as the primary procedure in most cath labs. Stent deployment added new procedural tasks to the cath lab CVT role: managing the stent delivery system, verifying pressure wire readings pre- and post-deployment, and documenting stent implantation details in structured procedure reports. Cath lab procedure volumes grew through the late 1990s and 2000s as stenting expanded to increasingly complex coronary anatomy.

  • Digital Holter and computerized arrhythmia analysis: semi-automated monitoring emerges

    The transition from analog tape Holter recording to digital Holter technology through the 2000s, and the development of computerized arrhythmia detection algorithms, began shifting the Holter technician's role from primary pattern detection toward algorithm-assisted review. Digital systems with semi-automated arrhythmia classification reduced manual scanning from full-disclosure scrolling (reviewing every beat at high speed) toward a tiered review workflow: the algorithm pre-sorted events, the technician confirmed or corrected the automated classification, and the physician reviewed the final report. This was the transition era: the algorithm did not yet replace the technician, but it reshaped the workflow from manual detection to human oversight of machine pre-sorting.

  • AI patch monitors (iRhythm Zio, 2014; AliveCor KardiaMobile): AI-generated arrhythmia reports

    iRhythm launched the Zio patch monitor commercially in 2014 -- a single-lead, skin-adhesive ECG device worn continuously for several days, with AI-powered arrhythmia analysis generating a pre-sorted physician report from the raw recording. By 2025, more than 5 million patients had been monitored via Zio. AliveCor's KardiaMobile (first FDA-cleared personal ECG device, 2012) and KardiaAI deployed a parallel remote monitoring ecosystem. For the cardiovascular technician at a cardiac monitoring center, the AI patch monitor era fundamentally changed the manual full-disclosure scanning workflow that had defined the non-invasive subspecialty for three decades: instead of scrolling raw Holter traces, technicians now reviewed AI-presorted arrhythmia summaries, managing more studies per shift. The role shifted from primary pattern detector to AI quality oversight analyst.

    Effect on the work

    AI Holter analysis (Cardiologs, iRhythm Zio AI) is the most direct AI displacement in this occupation, reducing manual full-disclosure scanning time by approximately 60-80% per study. The remote monitoring technician role did not disappear -- it shifted from pattern detection to AI verification, exception handling, and patient population management -- but the per-study labor content contracted substantially.

  • AI ECG interpretation and cath lab AI (Anumana, Cardiologs, SyncVision, CAAS vFFR): AI embedded across all subspecialties

    From 2018 onward, AI tools penetrated all three subspecialties simultaneously. In the EKG lab: Anumana ECG-AI (Mayo Clinic) and Tempus Cardio embed AI flags directly in the EHR alongside routine 12-lead ECGs, alerting CVTs and cardiologists to low ejection fraction, preclinical AFib, and ATTR-CM from a standard sinus rhythm ECG. In the cath lab: Philips Volcano iFR SyncVision maps pressure wire pullback curves onto coronary angiography in real time; Pie Medical Imaging CAAS vFFR calculates vessel FFR from the angiogram alone without a pressure wire. GE CASE AI auto-generates preliminary stress test reports with Duke Treadmill Scores and ST-segment analysis. The CVT's role across all subspecialties is shifting from primary technician to AI-assisted clinician: upstream acquisition quality (electrode placement, signal integrity, pressure wire setup) determines the reliability of AI outputs, and downstream AI verification (catching false classifications, correcting failed contour detections on calcified vessels, flagging AI confidence failures) is the new high-value skill.

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Cardiovascular Technologists and Technicians employment and pay by year

On record since1909
Latest US employment62,960 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Latest US median pay$74,310 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Outlook+3.7% by 2035Source: BLS Employment Projections 2025-35Official statisticReport an error
View all 27 years of cited US data, each linked to its source
YearUS employmentAnnual pay (median unless marked)SourceReport
19505,000n/aEst., ETHW / Electrocardiography history Researched contextReport
196815,000n/aEst., Cardiovascular Credentialing… Researched contextReport
198125,000n/aEst., JRC-CVT About Us Researched contextReport
200045,000$33,000Est., Bureau of Labor Statistics / FRASER Researched contextReport
200343,300$37,410BLS OEWS May 2003 Official statisticReport
200443,540$38,690BLS OEWS May 2004 Official statisticReport
200543,560$40,420BLS OEWS May 2005 Official statisticReport
200643,870$42,300BLS OEWS May 2006 Official statisticReport
200746,980$44,940BLS OEWS May 2007 Official statisticReport
200848,040$47,010BLS OEWS May 2008 Official statisticReport
200948,070$48,300BLS OEWS May 2009 Official statisticReport
201048,720$49,410BLS OEWS May 2010 Official statisticReport
201150,410$51,020BLS OEWS May 2011 Official statisticReport
201250,530$52,070BLS OEWS May 2012 Official statisticReport
201351,010$53,210BLS OEWS May 2013 Official statisticReport
201451,080$54,330BLS OEWS May 2014 Official statisticReport
201551,400$54,880BLS OEWS May 2015 Official statisticReport
201653,760$55,570BLS OEWS May 2016 Official statisticReport
201756,130$55,270BLS OEWS May 2017 Official statisticReport
201856,560$56,850BLS OEWS May 2018 Official statisticReport
201956,110$57,720BLS OEWS May 2019 Official statisticReport
202055,980$59,100BLS OEWS May 2020 Official statisticReport
202155,760$60,570BLS OEWS May 2021 Official statisticReport
202255,750$63,020BLS OEWS May 2022 Official statisticReport
202355,660$66,170BLS OEWS May 2023 Official statisticReport
202461,180$67,260BLS OEWS May 2024 (employment) Official statisticBLS OEWS May 2024 (pay) Official statisticReport
202562,960$74,310BLS OEWS May 2025 Official statisticReport
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