Local research
Findings describe the published observation periods shown below. Research published Oct 11, 2026.
The leading industry groups for this occupation show a split in District of Columbia. In January to March 2026, Private education and health services employment changed +1.1% year over year, while Trade, transportation, and utilities changed -2.5%. Together, the groups examined cover 95.5% of the occupation's national industry mix. The overall industry measure combines these opposing movements.
January to March 2026 · BLS QCEWIndustry measures describe the industries associated with this occupation. They are not direct occupation employment, current openings or a state-level Job Market Health score. Findings describe published data and do not establish causes. Methodology
Recent statewide layoff-notice context alongside the published BLS figures below. This signal does not feed the Job Market Health score.
Partial list. Partial listed-record coverage: DOES posts WARN notices on its annual table when received, but the table does not certify that every notice is listed or how current it is. Rows are dated by the published Notice Date (the day DOES received the notice); effective layoff dates and ranges are kept as published and never used as notice dates. "TBD" and amended worker counts are unknown. No month or District total is treated as complete; missing records are unknown, not zero.
| Month of notice date | Listed notices |
|---|---|
| Feb 2026 | 2 |
| Mar 2026 | 2 |
| Apr 2026 | 3 |
| May 2026 | 1 |
| Jul 2026 | 4 |
| Aug 2026 | 2 |
| Sep 2026 | 3 |
| Listed notices counted | 17 |
Statewide, current-month and three-month totals are unavailable. Months not shown are unknown, not zero. Effective layoff dates are not used as notice dates.
District of Columbia Department of Employment Services
Source last checked . This check does not certify a newly published report.
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 Nov 1, 2026 · saved source copy. JobMarketHealth calculates the displayed changes and samples weekly observations for the chart.
Year-over-year change for the industries that employ Aircraft service attendants in District of Columbia · percentage change
Year-over-year employment change (%) by reference quarter
The chart will load automatically. Published values remain available in this report.
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.
| Quarter | District of Columbia | State data coverage |
|---|---|---|
| 2024 Q2 | -0.6% | 100% |
| 2024 Q3 | -0.8% | 100% |
| 2024 Q4 | -1.7% | 99.35% |
| 2025 Q1 | -0.8% | 96.75% |
| 2025 Q2 | -0.5% | 96.75% |
| 2025 Q3 | -1.1% | 96.75% |
| 2025 Q4 | -0.6% | 96.75% |
| 2026 Q1 | -2.5% | 96.75% |
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 |
|---|---|---|---|---|
| Trade, transportation, and utilities | 93.3% | -2.5% | 2,020 | $1,480 |
| State and local Suppressed by BLS | 2.6% | Suppressed | Suppressed | Suppressed |
| Professional and business services | 1.3% | -4.2% | 18,577 | $3,573 |
| Private education and health services | 1.0% | +1.1% | 7,236 | $1,674 |
| Manufacturing Suppressed by BLS | 0.6% | Suppressed | Suppressed | Suppressed |
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.
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.
MethodologyBLS QCEWHow to citeQCEW state context release, 2026 Q1
AI & this occupation
Across 2 research exposure measures, Aircraft service attendants is in the lower 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.
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.
From the Census 2025-26 BTOS AI Supplement (all industries; businesses whose employees used generative AI). Census did not measure Aircraft service attendants specifically.
In the Census BTOS core AI-use question, an estimated 34.1% of District of Columbia 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 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.
Using each occupation's exposure band and District of Columbia employment weights (OEWS May 2025), 40.3% 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; 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.
QCEW measures employment and wages by industry, not by occupation. We weight those industry conditions using the published industry mix for Aircraft service attendants. These figures describe the industries that employ Aircraft service attendants; 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 Aircraft service attendants report and about the data.
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