Web developers

Name: Web developers: JobMarketHealth score
Creator: JobMarketHealth

SOC 15-1254 · 15-0000 · Score reference month August 2026

Develop and implement websites, web applications, application databases, and interactive web interfaces. Evaluate code to ensure that it is properly structured, meets industry standards, and is compatible with browsers and devices. Optimize website performance, scalability, and server-side code and processes. May develop website infrastructure and integrate websites with other computer applications.

In short

The national Job Market Health score is in the Weak band for August 2026.

How the score is built Data sources

Job Market Health score

25/ 100

Weak

Stable

Confidence: High
Restated score: 25
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.

$92,650Median annual wageOEWS May 2025

5,300Projected annual openingsBLS Employment Projections 2025-2035

+3.8%Projected growth2025–2035

70,190Total employmentOEWS May 2025

Latest interpretation

What stands out for web developers

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

Long-term outlook is the strongest component

Long-term outlook scores 42/100, compared with 6/100 for occupation fundamentals, a 36-point difference.

JobMarketHealth score components

Published long-term outlook

BLS projects 5,300 average annual openings and +3.8% employment growth from 2025 to 2035. Projected openings are a modeled annual average, not vacancies open today.

BLS Employment Projections

Largest published metro market

New York-Newark-Jersey City, NY-NJ has the largest published metro employment count for web developers, at 4,200 jobs. The next-largest published metro is Washington-Arlington-Alexandria, DC-VA-MD-WV with 3,840 jobs. This measures employment scale, not market quality.

BLS OEWS

Local market context

QCEW industry conditions for this occupation’s employment mix

State

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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 web developersSide-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

Aug 2625 / 100

View values: Job Market Health history

Job Market Health history
Reference month	Score / 100
Jan 25	30
Feb 25	29
Mar 25	28
Apr 25	29
May 25	30
Jun 25	28
Jul 25	27
Aug 25	24
Sep 25	25
Oct 25	24
Nov 25	24
Dec 25	23
Jan 26	24
Feb 26	24
Mar 26	22
Apr 26	23
May 26	26
Jun 26	28
Jul 26	25
Aug 26	25

Score components

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

Current demand29 / 100

Occupation fundamentals6 / 100

Long-term outlook42 / 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

New York-Newark-Jersey City, NY-NJ4,200
Washington-Arlington-Alexandria, DC-VA-MD-WV3,840
Seattle-Tacoma-Bellevue, WA3,470
Chicago-Naperville-Elgin, IL-IN2,790
Los Angeles-Long Beach-Anaheim, CA2,310
Dallas-Fort Worth-Arlington, TX1,660
Boston-Cambridge-Newton, MA-NH1,450
San Francisco-Oakland-Fremont, CA1,420
Miami-Fort Lauderdale-West Palm Beach, FL1,160
San Jose-Sunnyvale-Santa Clara, CA1,130

Largest metro markets by employment
Metro area	Employment	Jobs per 1,000	Median annual wage
New York-Newark-Jersey City, NY-NJ	4,200	0.44	$104,820
Washington-Arlington-Alexandria, DC-VA-MD-WV	3,840	1.22	$134,350
Seattle-Tacoma-Bellevue, WA	3,470	1.66	$130,440
Chicago-Naperville-Elgin, IL-IN	2,790	0.62	$96,870
Los Angeles-Long Beach-Anaheim, CA	2,310	0.37	$107,290
Dallas-Fort Worth-Arlington, TX	1,660	0.41	$96,740
Boston-Cambridge-Newton, MA-NH	1,450	0.54	$108,520
San Francisco-Oakland-Fremont, CA	1,420	0.60	$152,450
Miami-Fort Lauderdale-West Palm Beach, FL	1,160	0.41	Not published
San Jose-Sunnyvale-Santa Clara, CA	1,130	0.99	$166,670

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: 90,600 jobs

Top skills

Occupation profile · O*NET 31.0 Database

Programming
Critical Thinking
Complex Problem Solving
Operations Analysis
Reading Comprehension
Active Learning
Active Listening
Judgment and Decision Making
Speaking
Systems Analysis

Also known as: Technology Applications Engineer, Web Architect, Web Design Specialist, Web Developer, Webmaster

AI & this occupation

How AI relates to Web developers work

Across 3 research exposure measures, Web developers is in the higher 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.

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 exposureHigher exposureMean of 3 available source-specific percentile ranks (4 measures checked); fixed exposure bands, not a national rank of the composite

Dated Claude task exposureHigher thirdObserved task-exposure benchmark 0.480; observation window not recorded

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): 0.93 of 1, national percentile 99 (higher third)
Microsoft AI applicability: 0.35 of 1, national percentile 97 (higher third)
OECD AI Capability Gap (lower gap = higher potential exposure): gap 1.7 of 23, national percentile 77 (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 0.15 (demand 3.15 of 5)
Social interaction: gap 0.55 (demand 2.55 of 5)
Problem solving: gap 1.00 (demand 3.00 of 5)
Creativity: gap 0.00 (demand 2.25 of 5)
Metacognition & critical thinking: gap 1.10 (demand 3.10 of 5)
Knowledge, learning & memory: gap 0.15 (demand 3.15 of 5)
Vision: gap 0.00 (demand 0.55 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 Web developers 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; 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.

Sources and methodology

The datasets behind the figures on this page

Job Market Health score: Score for reference month August 2026 · methodology v1.0 · MethodologyScore last recalculated Oct 2, 2026 · First published Sep 29, 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.

Related occupations

O*NET® lists these occupations as related. Each link opens the same published view of score, wages and outlook.

Evidence record

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

Occupation: Web developers
SOC code: 15-1254
Geography: United States
Reference month: August 2026
Published Job Market Health score: 25 / 100
Restated score: 25 / 100
Band: Weak
Current Demand component: 29 / 10050% weight
Occupation Fundamentals component: 6 / 10030% weight
Long-Term Outlook component: 42 / 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: 2026-10-02T15:32:05.097Z
First published at: Sep 29, 2026
Recalculated at: Oct 2, 2026
Canonical record URL: https://jobmarkethealth.com/occupations/web-developers#evidence-record
Derived by: JobMarketHealth

Methodology BLS JOLTS BLS CES BLS Employment Projections How to cite National Job Market Health release, August 2026

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.