What are NAICS Codes and How Industries Use Them for Workforce Decisions

Key Takeaways

• • NAICS codes classify establishments, so workforce analysis should start with the activity performed at the operating location.
  • Code detail and NAICS vintage set the boundaries of an industry comparison, especially when multiple federal datasets or years are combined.
  • Crosswalks are necessary when definitions split, combine, or move, and multiplier inputs should use the same industry scope.

NAICS codes give workforce teams a consistent way to define business activity, but defensible analysis requires more than the code alone. The establishment, level of detail, and NAICS version all affect what gets counted. Treating those choices as part of the methodology keeps comparisons tied to the business activity you intended to measure.

The North American Industry Classification System (NAICS) is the federal standard for grouping establishments with similar production processes. The 2022 U.S. structure contains 20 sectors and 1,012 U.S. industries. That shared structure gives workforce, economic development, education, and corporate strategy teams a common starting point for industry analysis.

NAICS codes classify establishments by their primary business activity

A NAICS code classifies an establishment according to the activity carried out at that operating location. An establishment is usually a single physical location, such as a factory, store, office, or hospital. A company can operate several establishments under different codes. Classification follows what each location does.

Consider a firm with a manufacturing plant, distribution center, and corporate office. The plant can fall within manufacturing, the distribution center within warehousing, and the office within the management of companies and enterprises. Employment and establishment counts then stay attached to the activities occurring at each location.

Start with the establishment you need to measure, then classify its primary activity using the official definition. This creates a consistent unit for later analysis without forcing materially different locations into one companywide category.

Code detail sets the scope of industry analysis

NAICS becomes more specific as digits are added, moving from broad sectors to detailed U.S. industries. Each additional level narrows the establishments included. The right level depends on the workforce question being answered. Extra detail helps only when it matches the purpose of the analysis and the available data.

A regional strategy team studying health care can work at a broad level. A business attraction team evaluating a narrowly defined manufacturing activity will usually need more detail because manufacturers can have very different staffing patterns, wages, and supplier relationships.

“More detail creates a narrower definition. The level you choose determines which establishments belong in the analysis.”

The key choice is analytical scope. A broad code supports a broad sector question, while a detailed code limits the employer set to a more specific activity.

The official NAICS search starts with establishment activity

Finding an NAICS code starts with a plain description of the establishment’s primary activity. Business names can point you toward the wrong category because they do not always describe what workers at a location produce or provide. The Census Bureau search accepts keywords or codes from two to six digits. The full definition and cross-references should settle the final choice.

A company described as a technology business could operate a software publishing office, data processing facility, or computer systems design location. Those establishments belong to different industry definitions, even though the same corporate label could describe all three.

Use a repeatable search process:

• Describe the establishment’s primary activity in plain language.
• Search the official NAICS directory using that activity.
• Open the closest matching full industry definition.
• Review examples and cross-references for activities that belong elsewhere.
• Record the selected code and the NAICS version used.

This turns code selection into a documented classification step. Another analyst can reproduce the work, and stakeholders can see why a particular industry was included.

Occupation codes answer different workforce questions than NAICS

NAICS defines the business activity of an establishment, while the Standard Occupational Classification system defines the work performed by employees. The systems answer different workforce questions. Industry data identifies the employer group. Occupation data identifies the roles and worker groups being assessed.

A hospital illustrates the distinction. Its establishment belongs to a health care industry, but its workforce can include registered nurses, accountants, software developers, maintenance workers, and managers. A hospital NAICS code cannot show how many software developers are available in the region or what employers pay them.

The Bureau of Labor Statistics publishes occupation estimates within industries, allowing both classifications to support the same analysis. Use the industry view for employer context and the occupation view for a specific role. Keeping the units separate prevents an industry total from being mistaken for available workers.

NAICS codes frame hiring analysis around employer industries

NAICS becomes useful for hiring when the question concerns which industries employ a role and where those employers are concentrated. The code defines the employer set, while occupation data defines the role. Combining the two views shows the industrial context surrounding recruitment without treating every employer in a region as equally relevant.

Consider an engineering role needed by a semiconductor manufacturer. Engineers work across several sectors, but the staffing pattern within semiconductor manufacturing provides a more relevant employer benchmark for that facility. Regional industry presence also shows where similar establishments are clustered.

Chmura's workforce analysis can pair these views in a hiring market comparison. Industry data identifies employers likely to hire similar workers, while occupation data measures the worker pool, wages, and hiring pressure. That separation helps teams explain why the same role can present different hiring conditions across markets.

NAICS versions can shift results across reporting periods

NAICS is reviewed every five years, and revisions can split, combine, rename, remove, or move industries. A time series crossing versions can show a break even when business activity has not shifted to the same degree. Version control matters because matching code labels cannot prove that two periods use an identical industry definition.

The 2022 revision shows the scale. Seven six-digit 2017 codes were split into new or existing 2022 codes, affecting about 92,500 establishments and about 1.1 million jobs. Another 139 six-digit codes were removed, affecting about 1.4 million establishments and 15.5 million jobs through reclassification. The figures use the 2019 annual average Quarterly Census of Employment and Wages data.

Retail shows the practical effect. The 2022 update reorganized retail classification around the product sold rather than preserving the earlier separation between many store and nonstore activities. A report spanning that revision must separate economic movement from classification movement before interpreting a trend.

Crosswalks preserve comparisons when industry definitions are revised

A NAICS crosswalk maps one classification version to another so analysts can identify direct matches, splits, and combinations. Its purpose is continuity. A one-to-one mapping can support a straightforward update. One-to-many or many-to-one mappings require a deliberate choice about the common scope used across periods.

Electronic shopping provides a useful case. Activity within the older electronic shopping and mail order classification was redistributed across multiple 2022 retail industries according to the products the establishments sell. A simple code replacement would lose part of the former category.

Choose a comparison level that both versions can support. That can mean aggregating newer categories, using an official reconstructed series, or limiting the time span when a consistent definition cannot be created. A crosswalk identifies where reconciliation is required so analysts can build a like-for-like comparison.

“Trend accuracy depends on comparing like definitions across time.”

Industry multipliers require consistent NAICS definitions across inputs

Industry multipliers connect an initial economic activity with related supplier and production activity. Their usefulness depends on matching the industry definition in the project assumptions to the definition used in the model. A mismatch can attach supplier relationships from one activity to employment or output assumptions describing another.

A project labeled only as manufacturing shows the risk. Food production, semiconductor manufacturing, and fabricated metal production rely on different inputs and workforce structures. Selecting a multiplier at an unrelated level can weaken the interpretation even when the arithmetic is correct.

The Bureau of Economic Analysis publishes annual input-output statistics across 71 industry categories and detailed benchmark statistics across 402 industries. Chmura treats NAICS scope and version as part of the evidence trail because those choices shape the inputs before a multiplier is applied. Define the establishment, select the needed detail, reconcile versions when required, then match the multiplier to that activity. The result can then be traced to a clear industry definition.