The data service is not responding right now, so this report is being shown from our last successful reading on Oct 30, 2026. Every date, release and source below is the one that reading carried.
Limited local data: at least one local trend covers only 78.01% of this occupation's industry mix. These figures describe the industries with published data. Read each trend alongside its state data coverage.
Local research
What the data shows for laundry and dry-cleaning workers in North Dakota
Findings describe the published observation periods shown below. Research published Oct 11, 2026.
01
The highest-paying metro has a smaller employment market
The OEWS May 2025 comparison for North Dakota shows a pay premium alongside a smaller employment estimate. Bismarck, ND's median annual pay of $39,760 is 6.1% higher than Fargo, ND-MN's $37,470, while their employment estimates are 170 and 280, respectively. Among 4 metros with both usable measures, the former has the highest median pay and the latter the largest employment estimate. These counts describe existing jobs, not available vacancies.
Some metro estimates cross state lines. Higher nominal pay does not establish better living standards or better chances of finding a job.
02
This occupation is more concentrated in the state
The published location quotient for laundry and dry-cleaning workers in North Dakota is 1.54 in OEWS May 2025: their share of employment is 1.54 times the national share. The state estimate is 840 jobs, 0.4% of the national employment estimate for this occupation. It represents 1.96 jobs per thousand jobs in the state's OEWS employment universe. The measure describes the distribution of existing employment, not current hiring or future growth.
OEWS employment estimates describe covered wage-and-salary jobs and exclude self-employed workers; location quotients do not measure vacancies or worker demand.
03
Published median pay is above the U.S. median
The OEWS May 2025 estimates put median annual pay for laundry and dry-cleaning workers at $37,470 in North Dakota and $34,890 nationally. The state median is 7.4% higher. Living costs are not included in this comparison, and individual workers' pay varies.
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
North Dakota statewide
0 notices in this source
Notice dates from Aug 5, 2026 to Nov 2, 2026 (UTC), a rolling 90-calendar-day period.
What this means: No notices with notice dates in this period appear in this source for North Dakota. Other workforce changes may have happened without a notice in this source.
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. North Dakota’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.
Recent hiring-demand context · separate from the health score
132.7Postings index · February 1, 2020 = 100Observation: Oct 23, 2026
+32.7%Versus the February 2020 baseline
+2.1%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.
+0.3%Industry employmentU.S. +0.4%State data coverage: 78.01%
+3.2%EstablishmentsU.S. +2.7%State data coverage: 78.01%
+1.7%Avg. weekly industry wageU.S. +3.1%State data coverage: 78.16%
9,170Represented establishmentsEstablishments in the industries that employ this occupation, not employers hiring itIndustry mix share 89.0%, separate from the data coverage on the trend cards
Industry employment change over time
Year-over-year change for the industries that employ Laundry and dry-cleaning workers in North Dakota · percentage change
Year-over-year employment change (%) by reference quarter
Latest published values
North Dakota · 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 North Dakota series is shown. The U.S. figure on the cards above is the latest quarter benchmark.
Quarterly year-over-year industry employment change for Laundry and dry-cleaning workers in North Dakota, with the published state data coverage for each quarter
Quarter
North Dakota
State data coverage
2024 Q2
+1.1%
100%
2024 Q3
+0.7%
100%
2024 Q4
+0.9%
100%
2025 Q1
+1.4% Below coverage floor
78.16%
2025 Q2
+0.9%
100%
2025 Q3
+0.3% Below coverage floor
50.08%
2025 Q4
-0.1%
100%
2026 Q1
+0.3% Below coverage floor
78.01%
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 Laundry and dry-cleaning workers in North Dakota
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
Laundry and dry-cleaning workers
SOC code
51-6011
State
North Dakota
QCEW release label
QCEW 2026 Q1
Data period
2026 Q1
State industry employment, year over year
+0.3%State data coverage 78.01%
U.S. benchmark, year over year
+0.4%
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
+3.2%State data coverage 78.01%
Average weekly industry wage, year over year
+1.7%State data coverage 78.16%
Industry mix vintage
EP-2025-2035
BLS publication date
Aug 28, 2026
Source verification
Verified against the committed source snapshotVerified Sep 17, 2026
How AI relates to Laundry and dry-cleaning workers work
Across 4 research exposure measures, Laundry and dry-cleaning workers 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.
The saved Anthropic task-exposure benchmark records a zero index for this occupation. This is not proof of no AI use; the observation window is not recorded in this saved release.
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.
Technical AI exposureLower exposureMean of 4 available source-specific percentile ranks (4 measures checked); fixed exposure bands, not a national rank of the compositeDated Claude task exposureLower thirdObserved task-exposure benchmark 0.000; observation window not recordedBusiness AI use (BTOS Core)24.6%U.S. businesses using AI, two weeks ending 2026-10-04; all industries, not this occupationHistorical task mix (2025)Not enough tasksFewer than 3 observed tasksMeasured 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): 0.05 of 1, national percentile 12 (lower third)
Microsoft AI applicability: 0.04 of 1, national percentile 10 (lower third)
OECD AI Capability Gap (lower gap = higher potential exposure): gap 1.4 of 23, national percentile 82 (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 1.25 of 5)
Social interaction: gap 0.00 (demand 1.30 of 5)
Problem solving: gap 0.00 (demand 2.00 of 5)
Creativity: gap 0.00 (demand 0.95 of 5)
Metacognition & critical thinking: gap 0.00 (demand 2.00 of 5)
Knowledge, learning & memory: gap 0.00 (demand 1.90 of 5)
Vision: gap 0.40 (demand 3.40 of 5)
Manipulation: gap 1.45 (demand 3.45 of 5)
Robotic intelligence: gap 0.70 (demand 2.70 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 Laundry and dry-cleaning workers 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%
North Dakota context
In the Census BTOS core AI-use question, an estimated 20.0% of North Dakota 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 9.0% of North Dakota businesses using AI at that time, and 12.2% 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 North Dakota employment weights (OEWS May 2025), 25.0% 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 Laundry and dry-cleaning workers. These figures describe the industries that employ Laundry and dry-cleaning workers; 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.
Compare North Dakota with other statesPublished industry employment, business locations and average weekly industry wages for up to three states, with the national benchmark in percentage points.
Laundry and dry-cleaning workers in other states
Choose another state below to explore its available industry context.