Web and digital interface designers

SOC 15-1255 · 15-0000 · Score reference month August 2026

Design digital user interfaces or websites. Develop and test layouts, interfaces, functionality, and navigation menus to ensure compatibility and usability across browsers or devices. May use web framework applications as well as client-side code and processes. May evaluate web design following web and accessibility standards, and may analyze web use metrics and optimize websites for marketability and search engine ranking. May design and test interfaces that facilitate the human-computer interaction and maximize the usability of digital devices, websites, and software with a focus on aesthetics and design. May create graphics used in websites and manage website content and links.

In short

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

Job Market Health score

41/ 100
Balanced

Stable · +1

Confidence
High
Restated score
40
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.

$104,000Median annual wageOEWS May 2025
8,300Projected annual openingsBLS Employment Projections 2025-2035
+6.0%Projected growth2025–2035
113,330Total employmentOEWS May 2025

Latest interpretation

What stands out for web and digital interface designers

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

Occupation fundamentals is the strongest component

Occupation fundamentals scores 58/100, compared with 24/100 for current demand, a 34-point difference.

JobMarketHealth score components

Published long-term outlook

BLS projects 8,300 average annual openings and +6.0% employment growth from 2025 to 2035. Projected openings are a modeled annual average, not vacancies open today.

BLS Employment Projections

Largest published metro market

New York-Newark-Jersey City, NY-NJ has the largest published metro employment count for web and digital interface designers, at 14,990 jobs. The next-largest published metro is Seattle-Tacoma-Bellevue, WA with 10,330 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 web and digital interface designersSide-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 2641 / 100
View values: Job Market Health history
Job Market Health history
Reference monthScore / 100
Jan 2547
Feb 2547
Mar 2546
Apr 2547
May 2548
Jun 2547
Jul 2546
Aug 2544
Sep 2546
Oct 2544
Nov 2543
Dec 2542
Jan 2642
Feb 2639
Mar 2638
Apr 2638
May 2641
Jun 2641
Jul 2640
Aug 2641

Score components

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

Current demand24 / 100
Occupation fundamentals58 / 100
Long-term outlook54 / 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-NJ14,990
  • Seattle-Tacoma-Bellevue, WA10,330
  • Los Angeles-Long Beach-Anaheim, CA9,220
  • San Francisco-Oakland-Fremont, CA6,630
  • San Jose-Sunnyvale-Santa Clara, CA4,400
  • Nashville-Davidson--Murfreesboro--Franklin, TN2,500
  • Dallas-Fort Worth-Arlington, TX2,380
  • Boston-Cambridge-Newton, MA-NH2,330
  • Denver-Aurora-Centennial, CO2,120
  • Washington-Arlington-Alexandria, DC-VA-MD-WV1,900
Largest metro markets by employment
Metro areaEmploymentJobs per 1,000Median annual wage
New York-Newark-Jersey City, NY-NJ14,9901.58$119,190
Seattle-Tacoma-Bellevue, WA10,3304.95$133,760
Los Angeles-Long Beach-Anaheim, CA9,2201.47$106,550
San Francisco-Oakland-Fremont, CA6,6302.79$163,810
San Jose-Sunnyvale-Santa Clara, CA4,4003.88$201,260
Nashville-Davidson--Murfreesboro--Franklin, TN2,5002.27$63,510
Dallas-Fort Worth-Arlington, TX2,3800.59$104,150
Boston-Cambridge-Newton, MA-NH2,3300.86$122,270
Denver-Aurora-Centennial, CO2,1201.32$98,330
Washington-Arlington-Alexandria, DC-VA-MD-WV1,9000.60$97,000

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
140,800 jobs

Top skills

Occupation profile · O*NET 31.0 Database

  • Reading Comprehension
  • Critical Thinking
  • Judgment and Decision Making
  • Active Learning
  • Active Listening
  • Complex Problem Solving
  • Programming
  • Monitoring
  • Speaking
  • Writing

Also known as: UI Developer (User Interface Developer), UX Developer (User Experience Developer), UX Engineer (User Experience Engineer), Web Administration Coordinator (Web Admin Coordinator), Web Architect, Web Content Developer

AI & this occupation

How AI relates to Web and digital interface designers work

Across 3 research exposure measures, Web and digital interface designers 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 0.249; 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): 0.83 of 1, national percentile 98 (higher third)
  • Microsoft AI applicability: 0.29 of 1, national percentile 87 (higher third)
  • OECD AI Capability Gap (lower gap = higher potential exposure): gap 5.8 of 23, national percentile 18 (lower third); mean of O*NET detailed occupations
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 1.15 (demand 4.15 of 5)
  • Social interaction: gap 1.85 (demand 3.85 of 5)
  • Problem solving: gap 2.15 (demand 4.15 of 5)
  • Creativity: gap 0.95 (demand 3.95 of 5)
  • Metacognition & critical thinking: gap 2.25 (demand 4.25 of 5)
  • Knowledge, learning & memory: gap 0.55 (demand 3.55 of 5)
  • Vision: gap 0.00 (demand 3.00 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 and digital interface designers 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 and digital interface designers
SOC code
15-1255
Geography
United States
Reference month
August 2026
Published Job Market Health score
41 / 100
Restated score
40 / 100
Band
Balanced
Current Demand component
24 / 10050% weight
Occupation Fundamentals component
58 / 10030% weight
Long-Term Outlook component
54 / 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-and-digital-interface-designers#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.