Median annual wage
$80,930South CarolinaWeb and digital interface designers job market in South Carolina
Industry trends, wages and hiring signals.
Data availability
Published industry context is limited
The report below shows the available evidence. Missing figures are not estimated.
Occupation pay
What Web and digital interface designers earn in South Carolina
BLS OEWS occupation-level pay estimates for this role — separate from the industry wage trends used elsewhere in this report.
- Middle 50% of published wages
- $57,870 – $101,740
- U.S. median annual wage
- $104,000
- Reference period
- May 2025
The middle 50% is the 25th-to-75th percentile wage range, not an experience-level band. Suppressed or unavailable BLS values remain unpublished rather than being estimated.
Pay around South Carolina
How median pay varies by metro area
Published BLS OEWS metro estimates for Web and digital interface designers, compared with the South Carolina median of $80,930.
South Carolina median$80,930
Charleston-North Charleston, SC$96,190+18.9% vs. state
Charlotte-Concord-Gastonia, NC-SC$94,290+16.5% vs. state
Spartanburg, SC$82,890+2.4% vs. state
Augusta-Richmond County, GA-SC$80,990+0.1% vs. state
Columbia, SC$80,930Same as state at displayed precision
Myrtle Beach-Conway-North Myrtle Beach, SC$78,650−2.8% vs. state
View 1 more published metro area
Florence, SC$78,290−3.3% vs. state
Areas are ordered by published median wage for readability, not as an overall job-market ranking. The vertical marker is the South Carolina median. Some BLS metropolitan areas cross state lines, so a metro estimate can cover workers in more than one state.
Local research
What the data shows for web and digital interface designers in South Carolina
Findings describe the published observation periods shown below. Research published Oct 11, 2026.
The highest-paying metro has a smaller employment market
The largest metro employment market in this South Carolina comparison is Columbia, SC, with 140 estimated jobs and median annual pay of $80,930 in OEWS May 2025. Charleston-North Charleston, SC has the highest median pay, $96,190, alongside an employment estimate of 90. Among 5 metros with both usable measures, its median pay is 18.9% higher than the largest market's. The employment estimates describe existing jobs, not available vacancies.
OEWS May 2025 · BLS OEWSSome metro estimates cross state lines. Higher nominal pay does not establish better living standards or better chances of finding a job.
This occupation is less concentrated in the state
OEWS May 2025 places South Carolina's share of employment in web and digital interface designers at 0.48 times the corresponding national share. The published location quotient expresses that comparison. The state estimate is 800 jobs, 0.7% of the national employment estimate for this occupation. It represents 0.35 jobs per thousand jobs in the state's OEWS employment universe. Employment concentration does not establish future growth; it describes employment share, not current hiring.
OEWS May 2025 · BLS OEWSOEWS employment estimates describe covered wage-and-salary jobs and exclude self-employed workers; location quotients do not measure vacancies or worker demand.
Published median pay is below the U.S. median
South Carolina's published median annual wage for web and digital interface designers is 22.2% below the national median in OEWS May 2025. The state estimate is $80,930, compared with $104,000 across the U.S. These medians are not adjusted for living costs and do not describe every worker.
OEWS May 2025 · BLS OEWSFindings 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
South Carolina statewide7 notices in this source
Notice dates from Aug 4, 2026 to Nov 1, 2026 (UTC), a rolling 90-calendar-day period.
What this means: These are statewide totals from notices dated in this period in South Carolina’s official tracking system. Reported positions are the counts published in those notices, not a count of people confirmed to have lost their jobs. No employer is identified.
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. South Carolina’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.
South Carolina Department of Employment and Workforce About WARN data
Source last checked
Indeed job postings · South Carolina
Recent hiring-demand context · separate from the health score
123.4Postings index · February 1, 2020 = 100Observation: Oct 23, 2026
+23.4%Versus the February 2020 baseline
-0.3%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 Oct 30, 2026 · saved source copy. JobMarketHealth calculates the displayed changes and samples weekly observations for the chart.
+1.0%Industry employmentU.S. -0.2%State data coverage: 100%
-5.1%EstablishmentsU.S. +2.7%State data coverage: 100%
+1.9%Avg. weekly industry wageU.S. +4.0%State data coverage: 100%
110,345Represented establishmentsEstablishments in the industries that employ this occupation, not employers hiring itIndustry mix share 85.8%, separate from the data coverage on the trend cards
Industry employment change over time
Year-over-year change for the industries that employ Web and digital interface designers in South Carolina · percentage change
Year-over-year employment change (%) by reference quarter
Latest published values
- South Carolina · 2026 Q1+1.0%
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 South Carolina series is shown. The U.S. figure on the cards above is the latest quarter benchmark.
| Quarter | South Carolina | State data coverage |
|---|---|---|
| 2024 Q2 | +0.3% | 100% |
| 2024 Q3 | +0.3% | 100% |
| 2024 Q4 | -0.6% | 100% |
| 2025 Q1 | +0.6% | 100% |
| 2025 Q2 | +2.0% Below coverage floor | 69.08% |
| 2025 Q3 | +0.3% | 100% |
| 2025 Q4 | +0.8% | 100% |
| 2026 Q1 | +1.0% | 100% |
Industry mix behind this view
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 |
|---|---|---|---|---|
| Professional and business services | 38.8% | +0.4% | 47,623 | $1,591 |
| Information | 30.6% | +0.9% | 5,663 | $2,423 |
| Trade, transportation, and utilities | 8.9% | +0.6% | 36,443 | $1,128 |
| Financial activities | 7.4% | +2.1% | 20,616 | $2,195 |
| Private education and health services | 5.4% | +5.1% | 22,668 | $1,186 |
| Other services | 3.4% | +0.8% | 11,829 | $968 |
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
- Web and digital interface designers
- SOC code
- 15-1255
- State
- South Carolina
- QCEW release label
- QCEW 2026 Q1
- Data period
- 2026 Q1
- State industry employment, year over year
- +1.0%State data coverage 100%
- U.S. benchmark, year over year
- -0.2%
- Difference from U.S. benchmark
- +1.2 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
- -5.1%State data coverage 100%
- Average weekly industry wage, year over year
- +1.9%State data coverage 100%
- Industry mix vintage
- EP-2025-2035
- BLS publication date
- Aug 28, 2026
- Source verification
- Verified against the committed source snapshotVerified Sep 17, 2026
- Canonical record URL
- https://jobmarkethealth.com/occupations/web-and-digital-interface-designers/south-carolina#evidence-record
- Derived by
- JobMarketHealth from BLS QCEW + published occupation industry mix
MethodologyBLS QCEWHow to citeQCEW state context release, 2026 Q1
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.
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%
South Carolina context
In the Census BTOS core AI-use question, an estimated 27.7% of South Carolina 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 17.2% of South Carolina businesses using AI at that time, and 19.7% 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 South Carolina employment weights (OEWS May 2025), 29.3% 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; 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 Web and digital interface designers. These figures describe the industries that employ Web and digital interface designers; 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 Web and digital interface designers report and about the data.
Related occupations
Compare South Carolina with other statesPublished industry employment, business locations and average weekly industry wages for up to three states, with the national benchmark in percentage points.
Web and digital interface designers in other states
Choose another state below to explore its available industry context.