An availability analysis estimates how many qualified people may be available for specified work in a relevant labor market and compares that estimate with the organization’s workforce. It helps an organization interpret representation in context rather than looking only at employee demographics. The analysis defines the job groups and recruitment area before selecting information about the potential labor pool. It can help identify areas for further review and inform workforce planning. The result is a descriptive estimate, not proof of discrimination or a prediction of who will apply. It is also not a hiring instruction. Its usefulness depends on whether the job groups, data, and labor-market assumptions reasonably reflect how the work is staffed. Because estimates rely on definitions and data choices, organizations should document their method and explain its limitations.
Table of Contents
- What an Availability Analysis Measures
- How the Analysis Is Built
- Choosing Data and Job Groups
- What Results Can and Cannot Show
- Availability Analysis and Contingent Work
What an Availability Analysis Measures
An availability analysis focuses on the potential supply of qualified workers for specified roles and compares that estimate with current workforce representation. The comparison is meaningful only when the categories align. For example, comparing a company’s engineers with the entire adult population would not reflect the labor market for engineering work. A more useful analysis defines the relevant engineering roles and considers where qualified candidates could reasonably be recruited. The analysis may examine representation for demographic groups where that information is relevant to its purpose and can be used appropriately.
The term is sometimes used in connection with affirmative action planning. Its precise purpose and required method depend on the program and applicable rules. Federal contractor requirements have changed: Executive Order 14173 revoked Executive Order 11246 in January 2025, and the Department of Labor later published a rule rescinding regulations that implemented that order, effective October 26, 2026. The Department says OFCCP continues to enforce statutory programs under Section 503 and VEVRAA. Organizations should verify which requirements apply to their circumstances rather than treating older descriptions of availability analysis as a universal current legal obligation. See the Department of Labor rule on the Federal Register public inspection site.
An estimate describes a potential labor supply under stated assumptions. It does not establish that every person counted is actively seeking work or would meet an employer’s specific selection criteria. It also does not show whether a person will apply, accept an offer, or remain in a role. Those distinctions matter when interpreting results and deciding what additional information is needed.
How the Analysis Is Built
The work begins by defining the question the organization wants to answer. Analysts identify the job groups to examine and the geographic area from which candidates could reasonably be recruited. They then select labor-market data that corresponds as closely as practical to the roles and area. Depending on the purpose, useful inputs may include occupation and demographic data from government sources, internal workforce records, or other reliable information. The selected data should have a clear connection to the question rather than being chosen simply because it is readily available.
Some methods also consider internal candidates who could reasonably move into a role through promotion, transfer, or training. Where this is relevant, the analysis should explain how that internal pipeline is defined and how it is weighted against external labor-market availability. Analysts should avoid assuming that all current employees are eligible for every role. The method should account for the experience or qualifications that are relevant to advancement.
The U.S. Department of Labor’s historic federal-contractor framework described availability as a job-group-specific determination. That framework is useful background on the method, but its former regulatory requirements should not be assumed to remain in force. See the Department’s information about OFCCP programs for current program context. Finally, analysts compare the estimated availability with the actual workforce share for each relevant group. A difference can flag a topic for investigation. It does not explain why the difference exists or establish that a particular employment decision was unlawful.
Choosing Data and Job Groups
Job group definitions shape the result. Combining roles with different qualifications or career paths can obscure differences that matter. Pay levels and work locations may also affect whether positions belong together. On the other hand, splitting roles too narrowly can make estimates unstable or difficult to interpret. Organizations should document which positions are included and why they belong together. A related workforce analysis can help describe who holds positions across the organization, but it does not replace the labor-market comparison.
The recruitment area also needs a clear rationale. A role filled locally may call for local labor-market information. A specialized role that routinely attracts candidates from across the country may require a broader area. The relevant question is not simply where the organization would prefer to recruit. It is where qualified candidates are realistically available for that kind of work. Recruiting history can provide context, but it should not be treated as the only evidence for drawing geographic boundaries.
Record the data source and collection period. Also document the occupation mapping and geographic boundaries. Older data may not reflect changes in occupations or local labor supply. Analysts should note limitations and avoid giving a point estimate more precision than its inputs support. Consistent documentation makes it easier to update the analysis and understand why results changed. When different data sources use different definitions, the analysis should explain how those differences were handled.
What Results Can and Cannot Show
A gap between estimated availability and current representation can help identify where to ask more questions. The next step may be to examine recruitment reach or application patterns. It may also be useful to review hiring decisions and access to advancement. Different measures answer different questions: an availability analysis estimates the potential qualified pool, while an applicant-flow review looks at people who applied. A selection-rate review examines outcomes at a decision stage. These measures can provide complementary information, but they should not be treated as interchangeable.
A numerical difference alone does not establish its cause. The estimate may be affected by how roles were grouped or where the labor-market boundary was drawn. The age of the data can matter as well. So can assumptions about qualifications and internal mobility. Nor does a comparison show whether a particular person was treated fairly. Findings should be interpreted alongside relevant employment-process information and legal guidance.
When an organization chooses to act on a finding, the response should address the underlying question rather than treating a percentage as a quota or hiring rule. For example, reviewing whether qualified candidates are being reached through recruitment and sourcing may be more informative than changing job criteria without evidence. Any employment practice must follow applicable nondiscrimination laws. Organizations should also distinguish a change in outreach from a change in selection standards and assess each practice on its own facts.
Availability Analysis and Contingent Work
For organizations using contingent workers, an availability analysis can help frame workforce planning when teams need to understand whether a particular skill set is available in a location or occupational market. For example, a project may depend on contract professionals with specialized technical experience. A labor-market estimate can inform whether the hiring area or expected timeline is realistic. It cannot guarantee candidate supply or forecast who will accept an assignment. The estimate is most useful when its roles and location correspond to the actual work being planned.
It is important to define whose workforce is being analyzed. An organization may have employees alongside workers engaged through staffing arrangements or other third-party models. The analysis should state which worker populations and job groups are included. The organization should use consistent definitions across its records. Responsibilities for collecting workforce information and protecting personal data should also be clear. These choices help prevent a comparison from combining populations that are measured or managed differently.
TCWGlobal’s contingent workforce management work makes accurate role and worker-population definitions relevant to these planning questions. In practice, a clear definition of the assignment and the worker population can help an organization interpret labor-market information for contingent roles. The analysis itself remains an organization-specific measurement rather than a statement about any one provider’s services. Where the analysis prompts changes to outreach or workforce planning, organizations should consider whether those steps apply consistently to employees and contingent roles. A documented method helps stakeholders distinguish labor-market planning from hiring decisions and understand the limits of the available data.
