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Paramedics

Also called EMT-p, EMT-paramedic, Advanced paramedic, Critical care paramedic, Flight paramedic

In brief

In May 2025, BLS counted 100,610 US paramedics, with median pay of $60,600 a year. Of the BLS counts since 2021, the May 2025 count is the highest. BLS counts here go back to May 2021, when there were 96,510 jobs. The last full technology era for paramedics: Prehospital telemedicine + real-time hospital notification platforms, 2015 to 2022. Pulsara and real-time notification platforms shifted the Paramedic's role further toward active clinical communication partner with the hospital team, rather than a transporter who called ahead.

What the sources say

Official outlook

BLS projects employment to grow 5.7% 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.

Last updated .

Cite this page
APA

Future History. (2026, October 11). Paramedics: jobs and pay since 2000 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/29-2043

Chicago

Future History. "Paramedics: jobs and pay since 2000." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/29-2043.

BibTeX

@misc{futurehistory_29_2043, author = {{Future History}}, title = {Paramedics: jobs and pay since 2000}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/29-2043}}, 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
19752000now
2026
Known then as EMT-Ambulance / Paramedic Trainee (early formalization era)
Known then as EMT-Paramedic / EMT-P (AMA recognition era)
Known then as EMT-Paramedic / Paramedic (national standardization era)
Known then as Paramedics (BLS SOC 29-2043, separated from EMTs in 2020 SOC revision)
Known today as Paramedics (BLS SOC 29-2043, separated from EMTs in 2020 SOC revision)
Projected to still be called Paramedics (BLS SOC 29-2043, separated from EMTs in 2020 SOC revision)
Data from the May 2025 survey
US Employment
101K

Stated in source: BLS OEWS

Official statistic
Report an error
Median Annual Wage
$60,600
Est.

≈ $59,046 in 2024 prices (derived by us, CPI-adjusted)

Official statistic
Report an error
Beat · 1966

The National Academy of Sciences published "Accidental Death and Disability: The Neglected Disease of Modern Society" -- the founding document of modern EMS. The report revealed that wounded US soldiers in Vietnam had better survival rates than civilian motor vehicle accident victims back home, because the military had battlefield triage, rapid helicopter transport, and trained corpsmen. The comparison was devastating to American civic pride and spurred the first federal action on prehospital care.

Beat · 1967

Freedom House Ambulance Service began operations in Pittsburgh's Hill District, staffed entirely by Black residents from the neighborhood and trained by Dr. Peter Safar and Dr. Nancy Caroline to standards that exceeded anything then required by law. The program established the clinical model (IV therapy, intubation, defibrillation, medication administration by non-physicians under medical direction) that became the national paramedic standard. Freedom House was shut down in 1975 by Pittsburgh Mayor Flaherty, who favored direct city control; the city's replacement service initially hired only white paramedics, and most Freedom House staff were dismissed or reassigned.

Beat · 1972

The television drama Emergency! premiered on January 15, 1972, on NBC. The show depicted Los Angeles County firefighter-paramedics Johnny Gage and Roy DeSoto responding to cardiac arrests, car crashes, and industrial accidents with clinical skill. When the show debuted, there were six paramedic units in three cities. By 1979 when it ended, there were paramedics in all 50 states. Emergency! is credited by EMS historians as a major factor in driving both public demand for paramedic services and recruitment into the profession.

Beat · 1973

President Nixon signed the Emergency Medical Services Systems Act (Public Law 93-154) on November 16, 1973, authorizing $185 million to fund over 300 regional EMS systems nationwide. The Act shifted EMS from the Department of Transportation to the Department of Health, Education, and Welfare, formalizing its identity as a healthcare profession rather than a transport service. Congress had to override Nixon's initial veto. Federal categorical EMS funding ended in 1980 when the Reagan administration converted EMS programs to state block grants, leaving EMS development to compete with other state health priorities and creating the patchwork of systems that defines US EMS today.

Beat · 1975

The American Medical Association formally recognized EMT-Paramedic as an allied health profession in 1975, the same year Freedom House was closed. AMA recognition enabled accreditation pathways for paramedic training programs; UCLA and Eastern Kentucky University became the first institutions to achieve formal paramedic program accreditation in 1980. AMA recognition was the credentialing watershed that transformed the paramedic from a local innovation into a nationally portable professional identity.

Beat · 2020

The 2020 SOC revision separated Paramedics (29-2043) from Emergency Medical Technicians (29-2042) for the first time in BLS occupational classification history. Previously, the combined code 29-2040 / 29-2041 bundled both credential levels, obscuring the Paramedic-specific workforce trend. The separation enabled clean tracking of the Paramedic-only wage premium and employment trajectory, and was a symbolic acknowledgment by BLS that the two roles had diverged in credential requirements, clinical scope, and compensation to the point that lumping them together was analytically misleading.

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 paramedics? 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
+5.7%
BLS National Employment Matrix, 2025-35 cycle, line for SOC 29-2043 (Paramedics): 102.2 thousand jobs in 2025, projected 108.0 thousand in 2035, a change of +5.8 thousand (+5.7%). Matrix employment counts all jobs in the occupation, including self-employed workers (0.5% 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)
19.2%
of tasks
What this measures

Published occupation-level exposure from the paper's occ_level.csv for O*NET-SOC 29-2043.00 Paramedics. Shown: human-rated β = 0.192, 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 and γ (all LLM-assisted) 0.385; GPT-4-rated β 0.154. 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 paramedics

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

AI is sitting alongside you hereDocument prehospital patient care in AI-assisted ePCR systems, initiating the electronic Patient Care Report (ePCR) on the MDT (Mobile Data Terminal) or tablet using ESO ePCR or ImageTrend Elite within the first minutes of a call, entering chief complaint, dispatch information, and initial vitals

Document prehospital patient care in AI-assisted ePCR systems, initiating the electronic Patient Care Report (ePCR) on the MDT (Mobile Data Terminal) or tablet using ESO ePCR or ImageTrend Elite within the first minutes of a call, entering chief complaint, dispatch information, and initial vitals; using the AI narrative completion engine to draft the clinical narrative from structured data entry and voice input; reviewing the AI-generated ICD-10 diagnosis code suggestion for accuracy; completing medication administration, intervention timeline, and patient response documentation; transmitting the completed ePCR to the receiving hospital and EMS agency server before clearing the hospital; and flagging the ePCR for quality improvement review when AI-detected protocol deviations (medication dose range alerts, mandatory field incompleteness flags) are triggered.[3],[8],[1]

Where your edge is

ePCR documentation consumes a sizeable share of prehospital shift time at agencies that still rely on manual free-text narrative entry. ESO AI and ImageTrend Elite's AI narrative completion are actively displacing that manual burden: NLP engines can draft a clinically adequate narrative from structured entry fields in seconds. Your contribution shifts from typing to quality assurance: reviewing the AI-drafted narrative for clinical accuracy, correcting errors in the AI-generated ICD-10 code suggestion (the AI will miscategorize undifferentiated chest pain vs. NSTEMI vs. GERD if the structured data is ambiguous), and ensuring the medication administration times and dosing are precisely documented (legal and billing significance). The Paramedic who develops fluency with ESO AI's structured data fields and understands how the NLP engine generates narrative from those fields will be faster and more accurate than one who fights the tool. ePCR accuracy also directly drives the medical director's QI analysis: sloppy structured data produces misleading AI QI flags that waste medical director time and can trigger false protocol compliance warnings.

AI is sitting alongside you hereAcquire, transmit, and interpret 12-lead ECGs in the prehospital setting using AI-advisory cardiac monitors, applying 10-lead electrode placement correctly on a moving or uncooperative patient, acquiring a diagnostic-quality 12-lead ECG using the LIFEPAK 35 or Zoll X-Series, reviewing the AI-generated STEMI interpretation (including Wellens syndrome, de Winter pattern, Sgarbossa criteria for LBBB/paced rhythms), transmitting the 12-lead via Pulsara or direct Wi-Fi transmission to the receiving ED or cardiac catheterization lab, and communicating the AI interpretation result and clinical assessment to the receiving team to facilitate prehospital cath-lab activation.

Acquire, transmit, and interpret 12-lead ECGs in the prehospital setting using AI-advisory cardiac monitors, applying 10-lead electrode placement correctly on a moving or uncooperative patient, acquiring a diagnostic-quality 12-lead ECG using the LIFEPAK 35 or Zoll X-Series, reviewing the AI-generated STEMI interpretation (including Wellens syndrome, de Winter pattern, Sgarbossa criteria for LBBB/paced rhythms), transmitting the 12-lead via Pulsara or direct Wi-Fi transmission to the receiving ED or cardiac catheterization lab, and communicating the AI interpretation result and clinical assessment to the receiving team to facilitate prehospital cath-lab activation.[5],[6],[7]

Where your edge is

AI 12-lead interpretation (LIFEPAK 35 AI Advisory, Viz.ai STEMI) is deployed in ALS systems to support prehospital STEMI recognition, and it works well for textbook STE-elevation patterns. The risk is that Paramedics over-trust the AI flag and under-develop the clinical pattern-recognition to catch STEMI equivalents the AI misses (posterior STEMI with V7-V9 leads not shown on standard 12-lead, right-sided leads for right ventricular infarct, subtle Wellens in a patient who had pain several hours ago and is now pain-free). Your irreplaceable contribution is the clinical integration: a Paramedic who pairs the AI ECG interpretation with the patient's symptom history, hemodynamic status, and serial 12-lead comparison (is the pattern evolving?) makes decisions that pure AI cannot. Invest in STEMI equivalents education beyond standard 12-lead courses: enroll in the Turner ECG or ACLS-EP course, study the Sgarbossa and Barcelona criteria specifically, and practice real-case 12-leads from your agency's QA database.

AI is sitting alongside you hereParticipate in agency-level EMS quality improvement programs driven by AI ePCR analytics, reviewing individual performance dashboards generated by ESO Analytics or ImageTrend Insight showing personal CPR quality metrics, response time compliance, protocol adherence rates, medication administration accuracy, and ePCR completeness scores

Participate in agency-level EMS quality improvement programs driven by AI ePCR analytics, reviewing individual performance dashboards generated by ESO Analytics or ImageTrend Insight showing personal CPR quality metrics, response time compliance, protocol adherence rates, medication administration accuracy, and ePCR completeness scores; participating in case review sessions where medical director identifies AI-flagged cases (STEMI cases where 12-lead was acquired >10 minutes post-arrival, OHCA cases where first shock was delayed >2 minutes, ePCR cases where mandatory fields were blank); and serving as field trainer for new Paramedics on AI-integrated tools (LIFEPAK 35 12-lead AI, ESO ePCR voice documentation, Pulsara hospital notification workflow).[14],[8],[11]

Where your edge is

AI-driven EMS quality improvement is transforming how agencies track individual Paramedic performance. ESO Analytics and ImageTrend Insight give medical directors data dashboards that would have taken hours of manual chart review to produce in 2015; now they surface in real time. That means your individual performance metrics (12-lead acquisition time, CPR quality, ePCR completeness, medication administration patterns) are visible to your medical director and supervisor on a monthly basis, not in random quarterly chart pulls. This is an opportunity, not a threat: the Paramedic who understands what the AI dashboard is measuring and actively manages their performance metrics (consistently achieving 12-lead within several minutes of patient contact, ROSC rates above agency mean) builds a documented performance record that supports promotional candidacy. Field training roles (precepting new Paramedics on AI tools) also position you for EMS supervisor, QI coordinator, and education roles. Build familiarity with your agency's specific AI QI platform: request a dashboard demo from your supervisor if you have not yet seen your individual metrics.

Where paramedics 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 Paramedics with field training officer (FTO), QI coordinator, or shift supervisor experience are well-positioned for EMS director, EMS operations manager, emergency management coordinator, and medical services manager roles, classified under Medical and Health Services Managers (11-9111.00). As EMS agencies deploy AI ePCR platforms (ESO Analytics, ImageTrend Insight), AI dispatch systems (Corti), and AI cardiac monitoring (LIFEPAK 35), they need operations leaders who understand both the clinical workflow and the vendor evaluation, protocol governance, staff training, and quality-assurance dimensions of responsible AI deployment. The Paramedic who has served as a QI coordinator, reviewed ESO Analytics dashboards, and precepted new Paramedics on AI tools is the natural internal candidate for EMS operations management when these roles open at growing EMS systems. A healthcare administration MHA, NAEMSE (National Association of EMS Educators) certification, or ACMPE certification from MGMA bridges the clinical-to-management transition.

What you'd add
  • · EMS operations management: budget development for EMS agencies (apparatus replacement cycles, ePCR contract renewals, medical supply formulary), CAD system administration, unit deployment modeling (peak demand analysis, dynamic deployment algorithms), and labor-management relations in union EMS environments
  • · AI vendor evaluation and contract management for EMS: evaluating ESO vs. ImageTrend vs. ZOLL RescueNet ePCR platforms; assessing Corti AI dispatch contracts; procuring AI cardiac monitoring (LIFEPAK 35, Zoll X-Series); building performance benchmarks into vendor contracts with ePCR completion rate SLAs and QI dashboard deliverables
  • · EMS quality improvement program design: using ESO Analytics or ImageTrend Insight to build agency-level QI dashboards (cardiac arrest ROSC rates, STEMI door-to-balloon metrics, stroke activation compliance); conducting medical director-guided case review programs; building AI-flagged QI case identification workflows
  • · EMS protocol development and medical direction collaboration: working with the agency medical director to update ALS protocols for new medications (TXA, ketamine, levetiracetam), AI-integrated workflows (LIFEPAK 35 AI ECG advisory use in STEMI activation decisions), and prehospital telemedicine programs
  • · Healthcare administration credential: MHA (Master of Health Administration) program or NAEMSE EMS Educator credential for agencies focused on education; ACMPE (American College of Medical Practice Executives) or FACHE for health system-employed EMS directors
What it takesSome new skills to pick up
Tools of the era

How has the work of paramedics changed since 1862?

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

  • Horse-drawn and motorized transport (no clinical tools, rapid transport only)

    The pre-modern ambulance era, stretching from the Civil War ambulance corps through the mid-20th century, was defined by the ambulance as a conveyance, not a clinical environment. Dr. Jonathan Letterman organized the US Army Ambulance Corps in 1862, establishing the first systematic prehospital triage, but civilian equivalents lagged by decades. Cincinnati opened the first civilian ambulance service in 1865; New York City followed in 1869 with horse-drawn hospital ambulances staffed by interns who carried a small medical kit. By the 1950s, half the country's ambulance runs were made by funeral home hearses because their vehicles were large enough for stretchers. Attendants had minimal training. The ambulance's job was to transport quickly, not treat.

    Effect on the work

    Funeral home-based ambulance services employed part-time mortuary workers as ambulance attendants; no paramedic-equivalent role existed. The estimated US ambulance workforce in the early 1960s was in the tens of thousands of volunteers and part-time workers with no clinical credential requirements.

  • Defibrillator + radio telemetry (the invention of the paramedic)

    The 1966 National Academy of Sciences white paper "Accidental Death and Disability" catalyzed federal action and established that prehospital care needed to become clinical, not merely logistical. The key enabling technology was the portable defibrillator and radio telemetry: in 1969, Dr. Eugene Nagel in Miami trained firefighters to use portable defibrillators and transmit ECG strips to a hospital physician by radio, enabling the first physician-supervised field defibrillations by non-physicians. Freedom House Ambulance Service in Pittsburgh (1967) pushed further, training its crew in intubation, IV therapy, and medication administration. The Highway Safety Act of 1966 required states to set training standards; the 1973 EMS Systems Act ($185 million, 300 regional systems) scaled the profession nationally. When Emergency! premiered in 1972, there were six paramedic units in three cities; by its end in 1977, every state had paramedic programs.

    Effect on the work

    The profession grew from essentially zero (six formal ALS units in 1972) to tens of thousands of credentialed clinicians by 1980. The NREMT administered its first Paramedic exam in 1978. The AMA recognized EMT-Paramedic as an allied health profession in 1975.

  • ACLS protocols + 12-lead ECG + cardiac monitors (clinical standardization era)

    Advanced Cardiac Life Support (ACLS), introduced in 1979 by the American Heart Association, standardized resuscitation algorithms and made the cardiac monitor the central tool of ALS practice. By the mid-1980s, ACLS certification was universally required for Paramedic credentialing. The 12-lead ECG, previously a hospital-only diagnostic tool, began entering prehospital practice in the late 1980s and early 1990s as portable cardiac monitors (early LIFEPAK units, Physio-Control) became lighter and more capable. The Physio-Control LIFEPAK 10 and 12 brought reliable prehospital 12-lead acquisition to large municipal EMS systems by the mid-1990s, enabling prehospital STEMI identification for the first time. The ePCR (electronic Patient Care Report) began replacing paper run-sheets in early-adopter systems in the late 1990s.

    Effect on the work

    The adoption of 12-lead ECG and standardized ACLS protocols substantially expanded the Paramedic's clinical decision authority. Systems that implemented prehospital 12-lead and cath-lab pre-notification protocols demonstrated reductions in door-to-balloon time for STEMI patients, establishing the Paramedic as the first link in a time-sensitive cardiac care chain that reached back from the hospital into the field.

  • Electronic Patient Care Report (ePCR) + GPS-aided dispatch

    The widespread adoption of ePCR platforms in the 2000s (ESO Solutions founded 2004; ImageTrend Elite deployed mid-2000s; Zoll RescueNet expanded through 2010) transformed prehospital documentation from paper run-sheets to structured electronic records. GPS-aided dispatch and computer-aided dispatch (CAD) systems improved unit routing and response time tracking. These systems created the first large-scale prehospital clinical databases, enabling evidence-based protocol development and quality improvement analysis at a scale previously impossible. The flip side was a substantial new documentation burden: ePCR completion became one of the largest non-clinical time consumers in prehospital practice, with surveys suggesting 30-40% of scene and transport time spent on documentation.

    Effect on the work

    ePCR adoption did not displace Paramedics but significantly restructured their workflow, adding a documentation-heavy layer to every call. Agencies that measured documentation time before and after ePCR adoption generally found that structured-entry ePCR slightly increased documentation time compared to paper, though report quality, legibility, and data completeness improved dramatically.

  • Prehospital telemedicine + real-time hospital notification platforms

    Pulsara and similar platforms (launched 2012, scaled 2015-2020) enabled Paramedics to send 12-lead ECG images, vital signs, and pre-hospital assessment findings directly to the receiving hospital team via smartphone before patient arrival. This transformed the hospital pre-notification from a radio call into a structured, image-rich clinical handoff. For STEMI cases, Pulsara-integrated systems demonstrated that Paramedics could directly activate the cardiac catheterization lab from the field, bypassing the radio-to-charge-nurse-to-cardiologist-to-cath-lab chain that had previously added 15-30 minutes of door-to-balloon time. Prehospital telemedicine also enabled physician consultation for Paramedics managing complex, atypical, or high-risk cases mid-transport -- a capability that expanded independent paramedic authority while providing a safety net.

    Effect on the work

    Pulsara and real-time notification platforms shifted the Paramedic's role further toward active clinical communication partner with the hospital team, rather than a transporter who called ahead. In integrated STEMI and stroke systems, Paramedics who used these platforms were demonstrably shortening time-to-definitive-treatment for the highest-acuity patients.

  • AI dispatch intelligence + AI cardiac monitor + NLP-powered ePCR (current era)

    Three AI tools are now in active prehospital deployment and are reshaping the day-to-day workflow of Paramedics. First, Corti AI analyzes emergency dispatch audio in real time, detecting out-of-hospital cardiac arrest (OHCA) from caller speech with 97.2% sensitivity versus 72.5% for standard dispatcher detection (Rasmussen et al. 2023, JAMA Network Open), enabling earlier CPR coaching and more accurate pre-arrival intelligence. Second, the Stryker LIFEPAK 35 (FDA-cleared 2023) includes an AI 12-lead interpretation advisory that identifies STEMI, Wellens syndrome, de Winter patterns, and Sgarbossa criteria for LBBB or paced rhythms -- making diagnostic-quality AI ECG interpretation available on the physical monitor in the ambulance. Third, ESO's AI NLP engine auto-drafts clinical narratives and suggests ICD-10 codes from structured ePCR entry, reducing the documentation burden that historically consumed 35-40% of scene and transport time. These are augmentation tools, not replacement tools: the procedural core of ALS (intubation, IV/IO access, defibrillation, medication administration, surgical airway, chest decompression) remains fully human-dependent at current regulatory and technological capability.

    Effect on the work

    The AI augmentation wave is projected to reduce ePCR documentation time from 35-40% of shift time to 15-20% as NLP tools mature, freeing cognitive capacity for patient care. Corti and AI 12-lead interpretation tools improve accuracy on specific high-acuity diagnosis tasks (OHCA recognition, STEMI identification) without reducing the need for a trained Paramedic to make and execute the final clinical decision.

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Paramedics employment and pay by year

On record since1967
Latest US employment100,610 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Latest US median pay$60,600 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Outlook+5.7% by 2035Source: BLS Employment Projections 2025-35Official statisticReport an error
View all 7 years of cited US data, each linked to its source
YearUS employmentAnnual pay (median unless marked)SourceReport
2000n/a$23,000Est., BLS OOH Researched contextReport
2010n/a$30,360BLS OEWS May 2010 Official statisticReport
202196,510$46,770BLS OEWS May 2021 Official statisticReport
202295,440$49,090BLS OEWS May 2022 Official statisticReport
202398,770$53,180BLS OEWS May 2023 (employment) Official statisticBLS OEWS May 2023 (pay) Official statisticReport
202499,530$58,410BLS OEWS May 2024 Official statisticReport
2025100,610$60,600BLS OEWS May 2025 Official statisticReport
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