This report provides labor market alignment evidence for Perkins V Comprehensive Local Needs Assessment (CLNA) documentation. Analysis is based on federal employment projections, regional wage data, and semantic analysis of regional job postings compared against O*NET occupational standards.
This program's CIP code maps to the following target occupation under the federal CIP-SOC crosswalk maintained by the National Center for Education Statistics.
| SOC Code | Occupation Title | Relationship |
|---|---|---|
| — | — | Primary |
Source: CIP-SOC Crosswalk, National Center for Education Statistics
The Bureau of Labor Statistics projects the following national employment trends for this occupation over the 2024-2034 period.
| Metric | Value |
|---|---|
| Employment (2024) | — |
| Employment (2034, projected) | — |
| Change (number) | — |
| Typical Entry-Level Education | — |
Source: Bureau of Labor Statistics, Employment Projections 2024-2034. Validated against BLS source files ›
Analysis of job postings from employers in the region confirms active hiring demand for this occupation.
Certifications mentioned in regional job postings:
| Certification | % of Postings |
|---|
Regional job postings were compared to O*NET's canonical task statements for this occupation to validate alignment between employer requirements and occupational standards.
The following O*NET task statements were confirmed in regional job postings:
The following O*NET tasks were not explicitly mentioned in the analyzed postings. This may indicate assumed competencies, regional variation, or implicit expectations.
The following employer requirements were identified in job postings but are not part of O*NET's canonical task profile for this occupation. These may represent emerging skills, regional specializations, or evolving job requirements.
These requirements may warrant consideration in curriculum review or program enhancement discussions.
The following regional job postings were analyzed to generate the employer demand findings in this report. This documentation supports the data-driven methodology required for CLNA labor market alignment.
| # | Job Title | Employer | Status |
|---|
Methodology: Job postings were collected from major job boards and employer career sites. Each posting was parsed to extract job requirements, then analyzed using semantic matching against O*NET occupational task statements and competency frameworks. Postings with insufficient content or duplicate listings were excluded from the final analysis.