Tellers job market in District of Columbia

Industries associated with Tellers in District of Columbia sent mixed signals in January to March 2026. Employment in these industries fell 4.0% year over year, compared with a 0.3% increase nationally. The number of establishments rose 0.6% year over year, compared with a 2.1% increase nationally. Average weekly wages across these industries rose 7.2% year over year, compared with a 7.9% increase nationally.

BLS QCEW data for January to March 2026 covers at least 2.1% of the published industry mix for Tellers in District of Columbia. These are weighted industry-level signals, not direct measures of Tellers jobs, current openings, or pay.

Occupation pay

What Tellers earn in District of Columbia

BLS OEWS occupation-level pay estimates for this role — separate from the industry wage trends used elsewhere in this report.

BLS OEWS source

Median annual wage

$45,590District of Columbia
Middle 50% of published wages
$42,990 – $46,340
U.S. median annual wage
$43,030
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 Suppressed or unavailable BLS values remain unpublished rather than being estimated.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 District of Columbia

How median pay varies by metro area

Published BLS OEWS metro estimates for Tellers, compared with the District of Columbia median of $45,590.

District of Columbia median$45,590
Washington-Arlington-Alexandria, DC-VA-MD-WV$46,880+2.8% vs. state
Middle 50%$44,580 – $48,120Published employment4,060

Areas are ordered by published median wage for readability, not as an overall job-market ranking. The vertical marker is the District of Columbia 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 2.1% of this occupation's industry mix. These figures describe the industries with published data. Read each trend alongside its state data coverage.

Limited industry data for tellers in District of Columbia

In early 2026, employment in the available industry data was down 4.0% from a year earlier, compared with a 0.3% increase nationwide.

These are industry-wide trends, not a count of jobs in this occupation or current openings.

Indeed job postings · District of Columbia

Recent hiring-demand context · separate from the health score

71.2Postings index · February 1, 2020 = 100Observation: Sep 25, 2026
-28.8%Versus the February 2020 baseline
+1.1%Change over about four weeksAug 28, 2026 to Sep 25, 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 Sep 30, 2026. JobMarketHealth calculates the displayed changes and samples weekly observations for the chart.

Explore states and career fields · Methodology and limits

-4.0%Industry employmentU.S. +0.3%State data coverage: 2.1%
+0.6%EstablishmentsU.S. +2.1%State data coverage: 2.1%
+7.2%Avg. weekly industry wageU.S. +7.9%State data coverage: 2.1%
3,555Represented establishmentsEstablishments in the industries that employ this occupation, not employers hiring itIndustry mix share 97.8%, separate from the data coverage on the trend cards

Industry employment change over time

Year-over-year change for the industries that employ Tellers in District of Columbia · percentage change

Year-over-year employment change (%) by reference quarter

Latest published values
  • District of Columbia · 2026 Q1Not published

Every published quarter

BLS does not publish a national quarterly series for this occupation’s industry mix, so only the District of Columbia series is shown. The U.S. figure on the cards above is the latest quarter benchmark.

Quarterly year-over-year industry employment change for Tellers in District of Columbia, with the published state data coverage for each quarter
QuarterDistrict of ColumbiaState data coverage
2024 Q2-1.8%100%
2024 Q3+0.3%100%
2024 Q4+1.0%100%
2025 Q1-2.8% Below coverage floor2.1%
2025 Q2-1.7%99.94%
2025 Q3-2.8%99.94%
2025 Q4-3.0%99.94%
2026 Q1-4.0% Below coverage floor2.1%

Industry mix behind this view

Which industries are weighted into this view. Not a ranking of employers or of job quality.

Industries weighted into the local context for Tellers in District of Columbia
Industry groupShare of occupation employmentLocal employment changeEstablishmentsAvg. weekly wage
Financial activities97.7%Not published3,555$5,500
Professional and business services2.0%-4.2%18,577$3,573
Private education and health services0.1%+1.1%7,236$1,674
Other services0.1%-4.7%9,598$2,669
State and local Suppressed by BLS0.1%SuppressedSuppressedSuppressed
Leisure and hospitality0.0%Not published3,697$984
QCEW release
QCEW 2026 Q1
Data period
January to March 2026
BLS publication date
August 28, 2026
Source verification
Verified September 17, 2026
Industry mix vintage
EP-2025-2035

The publication date above is the official BLS news release date for this reference quarter, linked to the notice. The values match the snapshot independently checked against BLS sources on September 17, 2026. The publication date identifies the quarterly news release, not the exact revision date. 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
Tellers
SOC code
43-3071
State
District of Columbia
QCEW release label
QCEW 2026 Q1
Data period
2026 Q1
State industry employment, year over year
-4.0%State data coverage 2.1%
U.S. benchmark, year over year
+0.3%
Difference from U.S. benchmark
-4.3 percentage points
Establishments, year over year
+0.6%State data coverage 2.1%
Average weekly industry wage, year over year
+7.2%State data coverage 2.1%
Industry mix vintage
EP-2025-2035
BLS publication date
Aug 28, 2026
Source verification
Verified against the committed source snapshotVerified Sep 17, 2026
Calculation date
Sep 30, 2026
Canonical record URL
https://jobmarkethealth.com/occupations/tellers/district-of-columbia#evidence-record
Derived by
JobMarketHealth from BLS QCEW + published occupation industry mix

AI & this occupation

How AI relates to Tellers work

Across 4 independent exposure measures, Tellers sits in the higher third of U.S. occupations for technical AI exposure. Exposure describes how much of the work current AI could technically assist with; it is not a forecast of job loss.

Observed use of Claude for this occupation's tasks is in the middle third of occupations in the Anthropic Economic Index, which reflects real AI conversations rather than technical potential.

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.

ExposureHigher thirdMean national percentile across 4 of 4 current exposure measures
Observed usageMiddle thirdAnthropic Economic Index observed exposure 0.023
Business AI use (BTOS Core)23.8%U.S. businesses using AI, two weeks ending 2026-09-06; all industries, not this occupation
Automation vs augmentationNot enough tasksFewer than 3 observed tasks
Measured labor-market effectNot estimatedJobMarketHealth does not attribute employment or wage changes to AI

Exposure measures (kept separate)

  • GPTs are GPTs exposure (β, GPT-4 rated): 0.54 of 1, national percentile 86 (higher third)
  • Microsoft AI applicability: 0.25 of 1, national percentile 80 (higher third)
  • AIOE (Felten, Raj & Seamans): 0.47 (standardized), national percentile 62 (middle third)
  • OECD AI Capability Gap (lower gap = higher potential exposure): gap 0.3 of 23, national percentile 97 (higher 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 0.00 (demand 3.00 of 5)
  • Social interaction: gap 0.60 (demand 2.60 of 5)
  • Problem solving: gap 0.05 (demand 2.05 of 5)
  • Creativity: gap 0.00 (demand 0.85 of 5)
  • Metacognition & critical thinking: gap 0.00 (demand 2.00 of 5)
  • Knowledge, learning & memory: gap 0.00 (demand 1.55 of 5)
  • Vision: gap 0.00 (demand 1.85 of 5)
  • Manipulation: gap 0.00 (demand 1.65 of 5)
  • Robotic intelligence: gap 0.00 (demand 0.70 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 Tellers 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%

District of Columbia context

In the Census BTOS core AI-use question, an estimated 33.9% of District of Columbia employer businesses reported using AI in the two weeks ending 2026-09-06 (U.S.: 23.8%).

Separately, the one-time 2025-26 BTOS AI Supplement (collected 2025-11-17 to 2026-02-08) found 23.0% of District of Columbia businesses using AI at that time, and 24.6% 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.

Weighting each occupation's national exposure rank by District of Columbia employment (OEWS May 2025), 40.3% of covered jobs are in occupations in the higher-exposure third. 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 Tellers. These figures describe the industries that employ Tellers; 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 Tellers report and about the data.

Compare District of Columbia with other statesPublished industry employment, business locations and average weekly industry wages for up to three states, with the national benchmark in percentage points.

Tellers in other states

Choose another state below to explore its available industry context.