Median annual wage
$143,460MissouriFinancial managers job market in Missouri
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 Missouri
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
- $112,650 – $198,110
- 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 Suppressed or unavailable BLS values remain unpublished rather than being estimated.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 Missouri
How median pay varies by metro area
Published BLS OEWS metro estimates for Financial managers, compared with the Missouri median of $143,460.
Missouri median$143,460
Kansas City, MO-KS$162,490+13.3% vs. state
St. Louis, MO-IL$158,780+10.7% vs. state
Cape Girardeau, MO-IL$139,690−2.6% vs. state
Springfield, MO$130,290−9.2% vs. state
Joplin, MO-KS$127,550−11.1% vs. state
Columbia, MO$124,120−13.5% vs. state
View 2 more published metro areas
St. Joseph, MO-KS$123,420−14.0% vs. state
Jefferson City, MO$123,340−14.0% vs. state
Areas are ordered by published median wage for readability, not as an overall job-market ranking. The vertical marker is the Missouri 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 Missouri
Findings describe the published observation periods shown below. Research published Oct 11, 2026.
Published median pay is below the U.S. median
Missouri's published median annual wage for financial managers is 13.9% below the national median in OEWS May 2025. The state estimate is $143,460, compared with $166,570 across the U.S. These medians are not adjusted for living costs and do not describe every worker.
OEWS May 2025 · BLS OEWSPay differs widely between metro areas
Looking across 8 metro areas with published estimates on the same basis reveals a substantial pay range associated with Missouri. In OEWS May 2025, Kansas City, MO-KS's median of $162,490 is 31.7% higher than Jefferson City, MO's median of $123,340. This comparison covers nominal wages, without assessing 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 layoff-notice filings
Missouri statewide8 notices in this source
Notice dates from Aug 4, 2026 to Nov 1, 2026 (UTC), a rolling 90-calendar-day period.
What this means: These are statewide totals from notices dated in this period in Missouri’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. Missouri’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.
Missouri Office of Workforce Development About WARN data
Source last checked
Indeed job postings · Missouri
Recent hiring-demand context · separate from the health score
107.9Postings index · February 1, 2020 = 100Observation: Oct 23, 2026
+7.9%Versus the February 2020 baseline
-1.5%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 Oct 30, 2026 · saved source copy. JobMarketHealth calculates the displayed changes and samples weekly observations for the chart.
-0.1%Industry employmentU.S. 0.0%State data coverage: 85.64%
+4.8%EstablishmentsU.S. +2.4%State data coverage: 85.64%
+4.3%Avg. weekly industry wageU.S. +5.3%State data coverage: 86.09%
185,110Represented establishmentsEstablishments in the industries that employ this occupation, not employers hiring itIndustry mix share 85.6%, separate from the data coverage on the trend cards
Industry employment change over time
Year-over-year change for the industries that employ Financial managers in Missouri · percentage change
Year-over-year employment change (%) by reference quarter
Latest published values
- Missouri · 2026 Q1-0.1%
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 Missouri series is shown. The U.S. figure on the cards above is the latest quarter benchmark.
| Quarter | Missouri | State data coverage |
|---|---|---|
| 2024 Q2 | -1.0% | 91.07% |
| 2024 Q3 | -1.1% | 91.07% |
| 2024 Q4 | -0.9% | 91.07% |
| 2025 Q1 | -0.8% | 86.09% |
| 2025 Q2 | -0.6% | 86.09% |
| 2025 Q3 | -0.6% | 86.09% |
| 2025 Q4 | -0.3% | 86.09% |
| 2026 Q1 | -0.1% | 85.64% |
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% | -0.3% | 21,987 | $2,368 |
| Professional and business services | 28.0% | -0.3% | 45,495 | $1,851 |
| 900000 Suppressed by BLS | 8.9% | Suppressed | Suppressed | Suppressed |
| Trade, transportation, and utilities | 7.7% | -0.9% | 40,288 | $1,141 |
| Private education and health services | 5.7% | +2.0% | 77,340 | $1,199 |
| Manufacturing | 5.4% | +0.5% | 9,244 | $1,622 |
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
- Missouri
- QCEW release label
- QCEW 2026 Q1
- Data period
- 2026 Q1
- State industry employment, year over year
- -0.1%State data coverage 85.64%
- U.S. benchmark, year over year
- 0.0%
- Difference from U.S. benchmark
- -0.1 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
- +4.8%State data coverage 85.64%
- Average weekly industry wage, year over year
- +4.3%State data coverage 86.09%
- Industry mix vintage
- BLS-NEM-2025-35
- BLS publication date
- Aug 28, 2026
- Canonical record URL
- https://jobmarkethealth.com/occupations/financial-managers/missouri#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%
Missouri context
In the Census BTOS core AI-use question, an estimated 21.1% of Missouri 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 18.2% of Missouri 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 Missouri employment weights (OEWS May 2025), 28.3% 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 Missouri with other statesPublished industry employment, business locations and average weekly industry wages for up to three states, with the national benchmark in percentage points.