Median annual wage
$185,220VirginiaFinancial managers job market in Virginia
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 Financial managers earn in Virginia
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
- $146,320 – $224,130
- U.S. median annual wage
- $166,570
- 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 Suppressed or unavailable BLS values remain unpublished rather than being estimated.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 Virginia
How median pay varies by metro area
Published BLS OEWS metro estimates for Financial managers, compared with the Virginia median of $185,220.
Washington-Arlington-Alexandria, DC-VA-MD-WV$185,270Same as state at displayed precision
Richmond, VA$173,140−6.5% vs. state
Charlottesville, VA$170,250−8.1% vs. state
Virginia Beach-Chesapeake-Norfolk, VA-NC$163,940−11.5% vs. state
Roanoke, VA$158,030−14.7% vs. state
Lynchburg, VA$155,370−16.1% vs. state
View 5 more published metro areas
Winchester, VA-WV$151,990−17.9% vs. state
Harrisonburg, VA$148,200−20.0% vs. state
Blacksburg-Christiansburg-Radford, VA$139,800−24.5% vs. state
Staunton-Stuarts Draft, VA$137,420−25.8% vs. state
Kingsport-Bristol, TN-VA$132,280−28.6% vs. state
Areas are ordered by published median wage for readability, not as an overall job-market ranking. The vertical marker is the Virginia median. Some BLS metropolitan areas cross state lines, so a metro estimate can cover workers in more than one state.
Local research
What the data shows for financial managers in Virginia
Findings describe the published observation periods shown below. Research published Oct 11, 2026.
Published median pay is above the U.S. median
The OEWS May 2025 estimates put median annual pay for financial managers at $185,220 in Virginia and $166,570 nationally. The state median is 11.2% higher. Living costs are not included in this comparison, and individual workers' pay varies.
OEWS May 2025 · BLS OEWSPay differs widely between metro areas
Richmond, VA's median wage of $173,140 is 26.0% higher than Staunton-Stuarts Draft, VA's $137,420 in OEWS May 2025. Those are the high and low published estimates among 9 metro areas associated with Virginia on the same wage basis. The comparison does not account for living costs or job availability.
OEWS May 2025 · BLS OEWSMetro estimates may include areas in neighboring states. The comparison covers published metro estimates, not every part of the state.
Findings describe published data and do not establish causes. Methodology
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 WARN notices
Virginia statewide18 notices in this source
Notice dates from Aug 4, 2026 to Nov 1, 2026 (UTC), a rolling 90-calendar-day period.
What this means: This is the number of WARN notices with notice dates in this period in Virginia’s official statewide list. It is a statewide count only, and does not identify any employer.
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. WARN covers qualifying large layoffs and closures under applicable law, not all layoffs, and thresholds vary by state.
Virginia Works About WARN data
Source last checked
Indeed job postings · Virginia
Recent hiring-demand context · separate from the health score
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 Oct 30, 2026 · saved source copy. JobMarketHealth calculates the displayed changes and samples weekly observations for the chart.
Industry employment change over time
Year-over-year change for the industries that employ Financial managers in Virginia · percentage change
Year-over-year employment change (%) by reference quarter
- Virginia · 2026 Q1-0.2%
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 Virginia series is shown. The U.S. figure on the cards above is the latest quarter benchmark.
| Quarter | Virginia | State data coverage |
|---|---|---|
| 2024 Q2 | +0.4% | 91.07% |
| 2024 Q3 | +0.5% | 91.07% |
| 2024 Q4 | +0.4% | 91.07% |
| 2025 Q1 | +0.8% | 91.07% |
| 2025 Q2 | +0.6% | 91.07% |
| 2025 Q3 | +0.3% | 91.07% |
| 2025 Q4 | +0.5% | 91.07% |
| 2026 Q1 | -0.2% | 91.07% |
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 |
|---|---|---|---|---|
| Financial activities | 35.2% | +0.8% | 26,961 | $3,056 |
| Professional and business services | 28.0% | -2.5% | 77,989 | $2,561 |
| 900000 Suppressed by BLS | 8.9% | Suppressed | Suppressed | Suppressed |
| Trade, transportation, and utilities | 7.7% | -0.8% | 44,267 | $1,187 |
| Private education and health services | 5.7% | +2.5% | 59,532 | $1,267 |
| Manufacturing | 5.4% | -1.3% | 9,262 | $1,668 |
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
- Financial managers
- SOC code
- 11-3031
- State
- Virginia
- QCEW release label
- QCEW 2026 Q1
- Data period
- 2026 Q1
- State industry employment, year over year
- -0.2%State data coverage 91.07%
- U.S. benchmark, year over year
- 0.0%
- Difference from U.S. benchmark
- -0.2 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
- +2.4%State data coverage 91.07%
- Average weekly industry wage, year over year
- +4.5%State data coverage 91.07%
- Industry mix vintage
- BLS-NEM-2025-35
- BLS publication date
- Aug 28, 2026
- Canonical record URL
- https://jobmarkethealth.com/occupations/financial-managers/virginia#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 Financial managers work
Across 4 research exposure measures, Financial managers 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, 66.5% followed augmentation patterns (people iterating, validating or learning with AI), based on 10 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): 0.48 of 1, national percentile 73 (higher third)
- Microsoft AI applicability: 0.15 of 1, national percentile 52 (middle third)
- AIOE (Felten, Raj & Seamans): 1.45 (standardized), national percentile 98 (higher third)
- OECD AI Capability Gap (lower gap = higher potential exposure): gap 5.7 of 23, national percentile 19 (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 1.00 (demand 4.00 of 5)
- Social interaction: gap 2.00 (demand 4.00 of 5)
- Problem solving: gap 1.95 (demand 3.95 of 5)
- Creativity: gap 0.00 (demand 2.15 of 5)
- Metacognition & critical thinking: gap 2.25 (demand 4.25 of 5)
- Knowledge, learning & memory: gap 0.90 (demand 3.90 of 5)
- Vision: gap 0.00 (demand 0.05 of 5)
- Manipulation: gap 0.00 (demand 0.00 of 5)
- Robotic intelligence: gap 0.00 (demand 0.00 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 Financial managers 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%
Virginia context
In the Census BTOS core AI-use question, an estimated 28.9% of Virginia 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 19.6% of Virginia businesses using AI at that time, and 21.2% 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 Virginia employment weights (OEWS May 2025), 33.9% 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 Financial managers. These figures describe the industries that employ Financial managers; 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 Financial managers report and about the data.
Related occupations
Compare Virginia with other statesPublished industry employment, business locations and average weekly industry wages for up to three states, with the national benchmark in percentage points.