Median annual wage
$99,790MarylandRegistered nurses job market in Maryland
Industry trends, wages and hiring signals.
Data availability
Published industry context is limited
The report below shows the available evidence. Missing figures are not estimated.
Occupation pay
What Registered nurses earn in Maryland
BLS OEWS occupation-level pay estimates for this role — separate from the industry wage trends used elsewhere in this report.
- Middle 50% of published wages
- $83,740 – $107,340
- U.S. median annual wage
- $97,550
- Reference period
- May 2025
The middle 50% is the 25th-to-75th percentile wage range, not an experience-level band. Suppressed or unavailable BLS values remain unpublished rather than being estimated.
Pay around Maryland
How median pay varies by metro area
Published BLS OEWS metro estimates for Registered nurses, compared with the Maryland median of $99,790.
Maryland median$99,790
Washington-Arlington-Alexandria, DC-VA-MD-WV$102,710+2.9% vs. state
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD$101,180+1.4% vs. state
Baltimore-Columbia-Towson, MD$99,550−0.2% vs. state
Salisbury, MD$94,880−4.9% vs. state
Lexington Park, MD$94,780−5.0% vs. state
Hagerstown-Martinsburg, MD-WV$92,770−7.0% vs. state
Areas are ordered by published median wage for readability, not as an overall job-market ranking. The vertical marker is the Maryland median. Some BLS metropolitan areas cross state lines, so a metro estimate can cover workers in more than one state.
Limited local data: at least one local trend covers only 83.77% of this occupation's industry mix. These figures describe the industries with published data. Read each trend alongside its state data coverage.
Latest interpretation
What stands out for registered nurses in Maryland
The clearest signals from the latest validated occupation-pay data available for this page.
Occupation pay is close to the national median
The published median annual wage for Registered nurses in Maryland is $99,790, 2.3% above the U.S. median of $97,550.
BLS OEWS occupation payPublished metro pay varies within the state view
Among published metro estimates, Washington-Arlington-Alexandria, DC-VA-MD-WV has the highest median at $102,710, while Hagerstown-Martinsburg, MD-WV is $92,770. Some metro areas cross state lines.
BLS OEWS metro occupation payIndustry measures describe the industries associated with this occupation. They are not direct occupation employment, current openings or a state-level Job Market Health score.
Current market signals
Recent statewide layoff-notice context alongside the published BLS figures below. This signal does not feed the Job Market Health score.
Statewide layoff-notice filings
Maryland statewide31 notices in this source
Notice dates from Aug 5, 2026 to Nov 2, 2026 (UTC), a rolling 90-calendar-day period.
What this means: These are statewide totals from notices dated in this period in Maryland’s official tracking system. Reported positions are the counts published in those notices, not a count of people confirmed to have lost their jobs. No employer is identified.
Notices describe planned workforce changes, not confirmed job losses. Notices may be amended or withdrawn. This statewide context is not occupation-specific and does not affect the Job Market Health score. Maryland’s state tracking system also records smaller Rapid Response events that fall below federal WARN thresholds, so it is not a list of federal WARN filings only.
Maryland Department of Labor About WARN data
Source last checked
Indeed job postings · Maryland
Recent hiring-demand context · separate from the health score
89.0Postings index · February 1, 2020 = 100Observation: Oct 23, 2026
-11.0%Versus the February 2020 baseline
+1.8%Change over about four weeksSep 25, 2026 to Oct 23, 2026
This is statewide demand across all occupations, not demand for this specific job. Postings are not a count of vacancies or hires, and Indeed does not cover the entire labor market.
Source: Indeed Hiring Lab · CC BY 4.0. Seven-day average, seasonally adjusted; publisher refreshes weekly and may revise history. Retrieved Nov 1, 2026 · saved source copy. JobMarketHealth calculates the displayed changes and samples weekly observations for the chart.
+1.7%Industry employmentU.S. +2.0%State data coverage: 83.77%
+2.0%EstablishmentsU.S. +6.7%State data coverage: 83.77%
+2.2%Avg. weekly industry wageU.S. +2.5%State data coverage: 83.77%
27,160Represented establishmentsEstablishments in the industries that employ this occupation, not employers hiring itIndustry mix share 93.2%, separate from the data coverage on the trend cards
Industry employment change over time
Year-over-year change for the industries that employ Registered nurses in Maryland · percentage change
Year-over-year employment change (%) by reference quarter
Latest published values
- Maryland · 2026 Q1Not published
The chart will load automatically. Published values remain available in this report.
Every published quarter
BLS does not publish a national quarterly series for this occupation’s industry mix, so only the Maryland series is shown. The U.S. figure on the cards above is the latest quarter benchmark.
| Quarter | Maryland | State data coverage |
|---|---|---|
| 2024 Q2 | +5.2% Below coverage floor | 83.85% |
| 2024 Q3 | +5.1% Below coverage floor | 83.85% |
| 2024 Q4 | +4.8% Below coverage floor | 83.85% |
| 2025 Q1 | +3.2% Below coverage floor | 83.77% |
| 2025 Q2 | +2.8% Below coverage floor | 83.85% |
| 2025 Q3 | +2.5% Below coverage floor | 83.85% |
| 2025 Q4 | +2.5% Below coverage floor | 83.85% |
| 2026 Q1 | +1.7% Below coverage floor | 83.77% |
Industry mix behind this view
Which industries are weighted into this view. Not a ranking of employers or of job quality.
| Industry group | Share of occupation employment | Local employment change | Establishments | Avg. weekly wage |
|---|---|---|---|---|
| Private education and health services | 77.0% | +2.1% | 27,160 | $1,361 |
| 900000 Suppressed by BLS | 16.2% | Suppressed | Suppressed | Suppressed |
| Professional and business services | 4.2% | -3.4% | 55,003 | $2,203 |
| Financial activities | 2.0% | -2.1% | 17,278 | $3,111 |
| Other services | 0.4% | -0.1% | 20,811 | $1,189 |
| Trade, transportation, and utilities | 0.2% | -1.6% | 30,576 | $1,270 |
The publication date above is the official BLS news release date for this reference quarter, linked to the notice. These values have not been matched to the independently verified snapshot. The data period above is the quarter the figures describe.
QCEW describes the industries that employ this occupation, not the occupation itself. It is not a count of job openings and is not part of the 0-100 Job Market Health score.
Evidence record
Derived by JobMarketHealth from BLS QCEW + published occupation industry mix. This is occupation-weighted industry context, not direct occupation employment and not a count of current job openings.
- Occupation
- Registered nurses
- SOC code
- 29-1141
- State
- Maryland
- QCEW release label
- QCEW 2026 Q1
- Data period
- 2026 Q1
- State industry employment, year over year
- +1.7%State data coverage 83.77%
- U.S. benchmark, year over year
- +2.0%
- Difference from U.S. benchmark
- -0.4 percentage pointsPercentage-point gaps use the original published values and are rounded once; subtracting the rounded percentages can give a slightly different result.
- Establishments, year over year
- +2.0%State data coverage 83.77%
- Average weekly industry wage, year over year
- +2.2%State data coverage 83.77%
- Industry mix vintage
- BLS-NEM-2025-35
- BLS publication date
- Aug 28, 2026
- Canonical record URL
- https://jobmarkethealth.com/occupations/registered-nurses/maryland#evidence-record
- Derived by
- JobMarketHealth from BLS QCEW + published occupation industry mix
MethodologyBLS QCEWHow to citeQCEW state context release, 2026 Q1
AI & this occupation
How AI relates to Registered nurses work
Across 4 research exposure measures, Registered nurses is in the middle technical AI exposure band based on the mean of the available source-specific percentile ranks. Exposure describes how much of the work the studied AI capabilities could technically assist with; it is not a forecast of job loss.
Observed use of Claude for this occupation's tasks is in the higher third of occupations in the Anthropic Economic Index, a dated observed task-exposure benchmark, not conversation share or the share of workers using AI. Its observation window is not recorded in this saved release.
In the task mix derived from the March 27, 2025 Anthropic release, 69.4% followed augmentation patterns (people iterating, validating or learning with AI), based on 16 matched tasks.
JobMarketHealth has not measured an AI effect on this occupation's employment or wages, and these figures do not enter its scores; there is no clear evidence of displacement in the data shown here.
Exposure measures (kept separate)
- GPTs are GPTs exposure (β, GPT-4 rated): 0.33 of 1, national percentile 51 (middle third)
- Microsoft AI applicability: 0.12 of 1, national percentile 41 (middle third)
- AIOE (Felten, Raj & Seamans): 0.23 (standardized), national percentile 57 (middle third)
- OECD AI Capability Gap (lower gap = higher potential exposure): gap 7.7 of 23, national percentile 4 (lower third)
OECD capability gap by domain
As published by the OECD: the gap between what the occupation demands (0-5) and current AI capability in each domain. A lower gap means AI is closer to the requirement (higher potential exposure); 0 means AI already meets it or the domain is not relevant.
- Language: gap 0.80 (demand 3.80 of 5)
- Social interaction: gap 2.00 (demand 4.00 of 5)
- Problem solving: gap 2.00 (demand 4.00 of 5)
- Creativity: gap 0.00 (demand 2.05 of 5)
- Metacognition & critical thinking: gap 1.95 (demand 3.95 of 5)
- Knowledge, learning & memory: gap 1.00 (demand 4.00 of 5)
- Vision: gap 0.75 (demand 3.75 of 5)
- Manipulation: gap 1.90 (demand 3.90 of 5)
- Robotic intelligence: gap 1.90 (demand 3.90 of 5)
National context: what businesses used generative AI for
From the Census 2025-26 BTOS AI Supplement (all industries; businesses whose employees used generative AI). Census did not measure Registered nurses specifically.
- Writing or editing documents, emails, or communications: 85.4%
- Searching for information or technical help: 49.9%
- Interpreting, analyzing, translating, or summarizing documents: 44.6%
- Information processing, paperwork, or filing: 34.7%
Maryland context
In the Census BTOS core AI-use question, an estimated 29.4% of Maryland employer businesses reported using AI in the two weeks ending 2026-10-04 (U.S.: 24.6%).
Separately, the one-time 2025-26 BTOS AI Supplement (collected 2025-11-17 to 2026-02-08) found 19.9% of Maryland businesses using AI at that time, and 22.2% reporting that employees used generative AI for work tasks in the prior six months. It describes how AI was being used then, not a trend.
Using each occupation's exposure band and Maryland employment weights (OEWS May 2025), 32.4% of covered jobs are in occupations in the higher-exposure band. This describes the state's occupation mix, not a measured AI effect.
Exposure and observed usage are separate measures and neither equals job loss. Census BTOS figures are business-level surveys and are not occupation-specific. Sources: GPTs are GPTs occupation exposure; Microsoft Working with AI: AI applicability; AI Occupational Exposure (AIOE); OECD AI Exposure Measure (AI Capability Gap); Anthropic Economic Index; Census BTOS Core AI Use; Census BTOS AI Supplement 2025-26. These figures do not affect Job Market Health scores. Explore AI & Jobs · How we use AI data.
How to read this page
QCEW measures employment and wages by industry, not by occupation. We weight those industry conditions using the published industry mix for Registered nurses. These figures describe the industries that employ Registered nurses; they are not direct counts of people working in the occupation or of jobs currently open. This page is not part of the national 0 to 100 Job Market Health score.
Source: BLS QCEW. See the methodology, the national Registered nurses report and about the data.
Related occupations
Compare Maryland with other statesPublished industry employment, business locations and average weekly industry wages for up to three states, with the national benchmark in percentage points.