Substitute teachers, short-term

SOC 25-3031 · 25-0000 · Score reference month September 2026

Teach students on a short-term basis as a temporary replacement for a regular classroom teacher, typically using the regular teacher's lesson plan.

In short

The national Job Market Health score is in the Balanced band for September 2026.

Job Market Health score

46/ 100
Balanced

Stable

Confidence
High
Restated score
46
Methodology
v1.0
Geography
US
  • At least 90% of required inputs and occupation-industry mapping are covered.

Job Market Health scores are derived indicators based on published data, informational only, not a forecast or guarantee.

$41,670Median annual wageOEWS May 2025
65,000Projected annual openingsBLS Employment Projections 2025-2035
+2.0%Projected growth2025–2035
524,770Total employmentOEWS May 2025

Latest interpretation

What stands out for substitute teachers, short-term

The clearest signals from the latest validated score, outlook and metro data.

Long-term outlook is the strongest component

Long-term outlook scores 58/100, compared with 38/100 for current demand, a 20-point difference.

JobMarketHealth score components

Published long-term outlook

BLS projects 65,000 average annual openings and +2.0% employment growth from 2025 to 2035. Projected openings are a modeled annual average, not vacancies open today.

BLS Employment Projections

Largest published metro market

Los Angeles-Long Beach-Anaheim, CA has the largest published metro employment count for substitute teachers, short-term, at 35,740 jobs. The next-largest published metro is New York-Newark-Jersey City, NY-NJ with 26,760 jobs. This measures employment scale, not market quality.

BLS OEWS

Local market context

QCEW industry conditions for this occupation’s employment mix

Choose a state to see how the industries that employ this occupation are performing locally.

Choose a state above to explore its available industry context.

How to read this section

QCEW measures employment and wages by industry, not by occupation. We weight those industry conditions using the published industry mix for this occupation. These figures describe the industries that employ this occupation; they are not direct counts of people working in the occupation or jobs currently open.

Source: BLS QCEW. This section is not part of the national 0 to 100 Job Market Health score. See the methodology.

Compare states for substitute teachers, short-termSide-by-side published industry conditions for two or three states. There is no state-level health score; the 0 to 100 score is national.

How to read this page

The score is a national composite from 0 to 100 that weights near term hiring demand at 50 percent, the occupation's own employment fundamentals at 30 percent, and long-term outlook at 20 percent. Wages and occupation profile details are context shown alongside it, not score inputs. See the full methodology.

Median annual wage and metro employment come from BLS OEWS, which is annual. Projected annual openings and projected growth come from BLS Employment Projections and describe the published projection horizon, so they are not a count of jobs open today. Values shown as not published are suppressed by the source rather than filled in here.

Job Market Health trend

Published composite score · 0–100 · by reference month

Latest published values
  • Sep 2646 / 100
View values: Job Market Health history
Job Market Health history
Reference monthScore / 100
Jan 2560
Feb 2559
Mar 2556
Apr 2556
May 2557
Jun 2556
Jul 2554
Aug 2549
Sep 2550
Oct 2547
Nov 2547
Dec 2545
Jan 2649
Feb 2647
Mar 2648
Apr 2646
May 2648
Jun 2649
Jul 2648
Aug 2646
Sep 2646

Score components

The three published inputs behind the composite · each 0–100

Current demand38 / 100
Occupation fundamentals50 / 100
Long-term outlook58 / 100

Largest metro markets by employment

OEWS employment count, where the jobs are, not a quality ranking

OEWS May 2025. These occupation counts describe the survey reference period.

Linked metro names open overall job-market profiles.

Compare cities for this career →

Employment · number of jobs

  • Los Angeles-Long Beach-Anaheim, CA35,740
  • New York-Newark-Jersey City, NY-NJ26,760
  • Riverside-San Bernardino-Ontario, CA15,430
  • Washington-Arlington-Alexandria, DC-VA-MD-WV15,060
  • Atlanta-Sandy Springs-Roswell, GA12,070
  • Philadelphia-Camden-Wilmington, PA-NJ-DE-MD11,210
  • Chicago-Naperville-Elgin, IL-IN11,110
  • San Francisco-Oakland-Fremont, CA10,570
  • Houston-Pasadena-The Woodlands, TX9,600
  • San Diego-Chula Vista-Carlsbad, CA9,480
Largest metro markets by employment
Metro areaEmploymentJobs per 1,000Median annual wage
Los Angeles-Long Beach-Anaheim, CA35,7405.70$57,210
New York-Newark-Jersey City, NY-NJ26,7602.82$45,220
Riverside-San Bernardino-Ontario, CA15,4308.99$60,780
Washington-Arlington-Alexandria, DC-VA-MD-WV15,0604.80$46,470
Atlanta-Sandy Springs-Roswell, GA12,0704.18$39,340
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD11,2103.87$45,680
Chicago-Naperville-Elgin, IL-IN11,1102.46$43,460
San Francisco-Oakland-Fremont, CA10,5704.45$60,790
Houston-Pasadena-The Woodlands, TX9,6002.92$32,550
San Diego-Chula Vista-Carlsbad, CA9,4806.16$59,860

Education & training

Typical entry requirements · BLS Employment Projections 2025-2035

Typical education
Bachelor's degree
Work experience
None
On-the-job training
None
Projected employment
567,000 jobs

Top skills

Occupation profile · O*NET 31.0 Database

  • Active Listening
  • Reading Comprehension
  • Speaking
  • Social Perceptiveness
  • Critical Thinking
  • Instructing
  • Monitoring
  • Learning Strategies
  • Time Management
  • Writing

Also known as: Building Sub (Building Substitute), Building Sub Teacher (Building Substitute Teacher), Child Development Sub Teacher (Child Development Substitute Teacher), ESL Sub (English as a Second Language Substitute), HS Sub Teacher (High School Substitute Teacher), Pre-School Sub Teacher (Pre-School Substitute Teacher)

AI & this occupation

How AI relates to Substitute teachers, short-term work

Across 2 research exposure measures, Substitute teachers, short-term 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.

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 exposureMiddle exposureMean of 2 available source-specific percentile ranks (4 measures checked); fixed exposure bands, not a national rank of the composite
Dated Claude task exposureNot observedNo Anthropic Economic Index row for this occupation
Business AI use (BTOS Core)24.6%U.S. businesses using AI, two weeks ending 2026-10-04; all industries, not this occupation
Historical task mix (2025)Not 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): 0.36 of 1, national percentile 54 (middle third)
  • Microsoft AI applicability: 0.23 of 1, national percentile 75 (higher third)

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 Substitute teachers, short-term 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%

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.

Sources and methodology

The datasets behind the figures on this page

Job Market Health score
Score for reference month September 2026 · methodology v1.0 · MethodologyScore last recalculated Nov 3, 2026 · First published Nov 3, 2026
BLS Occupational Employment and Wage Statistics
Employment, wages and largest metros · OEWS May 2025 · publisher release May 15, 2026 · About this sourceRetrieved Sep 17, 2026
BLS Employment Projections
Projected growth, openings, education and training · BLS Employment Projections 2025-2035 · publisher release Aug 27, 2026 · About this sourceRetrieved Sep 17, 2026
O*NET
Skills, alternate titles and related occupations · O*NET 31.0 Database · publisher release date not verified · About this sourceRetrieved Oct 19, 2026

Values marked “Not published” are suppressed or not published by the source. We leave them blank rather than estimating them. Pipeline status for every source is on Data Status.

Evidence record

JobMarketHealth derived indicator; not a government statistic. The composite score is national and occupation level.

Occupation
Substitute teachers, short-term
SOC code
25-3031
Geography
United States
Reference month
September 2026
Published Job Market Health score
46 / 100
Restated score
46 / 100
Band
Balanced
Current Demand component
38 / 10050% weight
Occupation Fundamentals component
50 / 10030% weight
Long-Term Outlook component
58 / 10020% weight
Confidence
HighAt least 90% of required inputs and occupation-industry mapping are covered.
Methodology version
v1.0
Source vintage: Annual
EP-2025-2035|CPS-25b-2025|OEWS-2020-2025
Source vintage: Monthly calculated at
2026-11-03T20:58:13.714Z
First published at
Nov 3, 2026
Recalculated at
Nov 3, 2026
Canonical record URL
https://jobmarkethealth.com/occupations/substitute-teachers-short-term#evidence-record
Derived by
JobMarketHealth

Keep going

Learn how to judge a market from these numbers in how to tell if a job market is healthy, or why projected growth and annual openings often disagree in projected growth vs projected annual openings. Coverage, revisions and limits are explained on about the data.

The datasets behind these figures, and what each one can and cannot show, are set out on data sources.