Sioux Falls Metro Workforce and Labor Market Data

Sioux Falls occupies a distinct position in the Upper Midwest labor market, combining a diversified economic base with unemployment rates that have historically tracked well below the national average. This page defines the scope of workforce and labor market data for the Sioux Falls metropolitan statistical area (MSA), explains how that data is collected and published, identifies the scenarios in which it is most actively used, and clarifies the boundaries that determine when metro-level figures apply versus city-level or county-level measures. Understanding the data structure matters for employers, planners, and policy analysts who rely on accurate headcount and wage figures for workforce decisions.

Definition and scope

The Sioux Falls Metropolitan Statistical Area, as designated by the U.S. Office of Management and Budget (OMB), encompasses Minnehaha County and Lincoln County in South Dakota (OMB Bulletin 20-01). This two-county definition is the geographic unit used for official labor market statistics published by the U.S. Bureau of Labor Statistics (BLS) and the South Dakota Department of Labor and Regulation (SD DLR).

Workforce data in this context covers four primary dimensions:

  1. Labor force size — the total count of employed and unemployed residents who are actively seeking work within the MSA boundary
  2. Unemployment rate — the percentage of the labor force that is jobless and actively seeking employment, published monthly by BLS through the Local Area Unemployment Statistics (LAUS) program (BLS LAUS)
  3. Industry employment distribution — nonfarm payroll employment broken down by supersectors (e.g., financial activities, health care, trade, transportation) using the North American Industry Classification System (NAICS)
  4. Wage data — occupational wage estimates published annually through the BLS Occupational Employment and Wage Statistics (OEWS) program (BLS OEWS)

South Dakota's status as a state with no individual income tax shapes the Sioux Falls labor market in structural ways: it functions as a net importer of working-age residents from neighboring states, particularly Minnesota and Iowa, and that migration pattern is captured in the SD DLR's quarterly workforce reports (SD DLR).

The Sioux Falls Metro Economy page provides broader context on the industry sectors that drive demand for this labor pool.

How it works

Labor market data for the Sioux Falls MSA is produced through an interlocking federal-state system. The BLS funds and standardizes methodology; the South Dakota Department of Labor and Regulation serves as the state partner that conducts employer surveys, validates records, and publishes state and sub-state estimates.

Monthly unemployment figures are modeled estimates derived from the LAUS program, which combines data from the Current Population Survey (CPS), state unemployment insurance (UI) records, and the Current Employment Statistics (CES) payroll survey. Because the Sioux Falls MSA falls below the threshold for direct CPS sampling, BLS applies a signal-plus-noise model to generate county-level estimates that are then aggregated to the two-county MSA.

Nonfarm payroll employment is collected monthly through the CES program, which surveys approximately 145,000 businesses and government agencies nationally. South Dakota's contribution to that survey includes Sioux Falls-area employers across all major NAICS sectors. The data are benchmarked annually to Quarterly Census of Employment and Wages (QCEW) records, which capture near-universal employer coverage through UI tax filings.

Occupational wage data from the OEWS program are published once per year, covering approximately 800 occupations at the MSA level. The Sioux Falls MSA edition provides median and mean hourly wages by occupation, enabling direct comparison with state and national benchmarks.

The SD DLR's Labor Market Information Center (LMIC) supplements federal datasets with South Dakota-specific products including job vacancy surveys and workforce supply-demand analyses (SD LMIC).

Common scenarios

Labor market data for the Sioux Falls MSA is used across distinct planning and operational contexts:

Site selection by employers. Corporate location analysts use OEWS wage tables and LAUS unemployment figures to model labor cost and availability before committing to facility expansions. The Sioux Falls MSA's unemployment rate fell to 2.0% in 2023 (BLS LAUS release, South Dakota MSAs), signaling a tight labor market that directly affects wage expectations in site selection models.

Workforce development planning. The Southeast Technical College and the University of Sioux Falls draw on LMIC occupational projections to align program offerings with projected job openings. South Dakota's 10-year occupational projections, published by SD LMIC, identify health care practitioners and technical occupations as the fastest-growing cluster in the Sioux Falls MSA through the projection period.

Economic development incentives. The City of Sioux Falls and the Sioux Falls Development Foundation use labor force participation data and wage benchmarks to evaluate qualifying thresholds for workforce training grants. These figures also anchor applications made to the South Dakota Governor's Office of Economic Development for workforce pipeline funding (GOED).

Comprehensive planning and zoning. The Sioux Falls Metro Planning Commission integrates labor force growth projections into long-range land use plans, particularly for employment districts and transit-oriented development nodes. Workforce data informs where the commission anticipates demand for commercial and light-industrial zoning.

Housing policy. A mismatch between median wages and median home prices — a relationship visible when OEWS wage data is set against Sioux Falls Metro Housing Market price indices — drives analysis of workforce housing gaps and affordable housing thresholds.

Readers seeking a broader demographic foundation for these workforce figures can consult the Sioux Falls Metro Population and Demographics page, which documents age structure, educational attainment, and migration flows that shape long-run labor supply.

Decision boundaries

Understanding which dataset applies to a given decision requires attention to four boundary conditions:

MSA vs. city boundary. The Sioux Falls MSA (Minnehaha + Lincoln counties) is larger than the Sioux Falls city limits. Payroll employment figures published at the MSA level include workers employed in suburban unincorporated areas and in neighboring municipalities such as Brandon and Tea. City-only figures, where needed, require custom extracts from QCEW microdata maintained by SD LMIC.

Residence-based vs. workplace-based measures. LAUS unemployment rates are residence-based: they count where workers live, not where they work. CES nonfarm payroll data is workplace-based: it counts jobs at employer locations regardless of where employees reside. For a metro that draws commuters from rural Minnehaha County and from adjacent Moody and McCook counties, this distinction produces meaningfully different headcount totals — a gap that analysts must account for when modeling labor demand against supply.

Benchmark year vs. preliminary release. BLS publishes monthly preliminary estimates that are revised at annual benchmark. For the Sioux Falls MSA, benchmark revisions have in past cycles shifted annual average employment by 1,000 to 3,000 jobs as QCEW-based universe counts update the model. Decisions requiring high precision — bond-financed infrastructure programs, for instance — should use benchmarked figures rather than preliminary monthly releases.

Industry vs. occupation classification. NAICS codes describe the industry of the employer; Standard Occupational Classification (SOC) codes describe the work performed by the employee. A registered nurse employed at Sanford Health (health care industry, NAICS 622) and a registered nurse employed at a staffing agency (administrative services, NAICS 561) appear in different industry buckets but the same SOC code. Wage analysts comparing nursing wages across Sioux Falls employers must use OEWS occupation-level data, not industry-level payroll aggregates.

The Sioux Falls Metro Growth Trends page tracks how labor force expansion correlates with population growth and annexation cycles over time. The site index provides a full reference map of metro data resources available through this authority.

References