Workers in the Minneapolis-St. Paul-Bloomington, MN-WI Metropolitan Statistical Area had an average (mean) hourly wage of $33.80 in May 2023, compared to the nationwide average of $31.48, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Jason Palmer noted that higher paying major occupational groups included management ($69.10), legal ($64.74), and healthcare practitioners and technical ($53.75). Lower paying occupations included food preparation and serving related ($16.20), healthcare support ($18.86), and personal care and service ($19.48). (See table A.)

Occupational groups with the highest employment in the Minneapolis area included office and administrative support (12.2 percent), sales and related (8.3 percent), and business and financial operations (8.1 percent). Major occupational groups on the lower end of local employment included legal (0.8 percent); life, physical, and social science (1.1 percent); and arts, design, entertainment, sports, and media (1.3 percent). (See table A.)

One occupational group—business and financial operations—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Minneapolis had 154,580 jobs in business and financial operations, accounting for 8.1 percent of local area employment, compared to the 6.6-percent share nationally. The average hourly wage for this occupational group locally was $44.56, compared to the national wage of $43.55.

Some of the larger detailed occupations within the business and financial operations group included accountants and auditors (22,310), market research analysts and marketing specialists (17,940), and management analysts (17,290). Among the higher-paying jobs in this group were financial risk specialists with mean hourly wages of $55.16, financial and investment analysts ($50.63) and management analysts ($50.51). At the lower end of the wage scale were credit counselors ($28.45) and meeting, convention, and event planners ($28.71). (Detailed data for the business and financial operations occupations are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/current/oes_33460.htm.)

Location quotients allow us to explore the occupational make-up of a metropolitan area by comparing the composition of jobs in an area relative to the national average. (See table 1.) For example, a location quotient of 2.0 indicates that an occupation accounts for twice the share of employment in the area than it does nationally. In the Minneapolis area, above-average concentrations of employment were found in some of the occupations within the business and financial operations group. For instance, market research analysts and marketing specialists were employed at 1.7 times the national rate in Minneapolis, and management analysts, at 1.6 times the U.S. average. Claims adjusters, examiners, and investigators had a location quotient of 1.0 in Minneapolis, indicating that this particular occupation’s local and national employment shares were similar.

The statistics in this release are from the Occupational Employment and Wage Statistics (OEWS) survey, a cooperative effort between BLS and the State Workforce Agencies (SWAs). BLS funds the survey and provides the procedures and technical support. State Workforce Agencies collect most of the data: in this case, the Minnesota Department of Employment & Economic Development, and the Wisconsin Department of Workforce Development.

Technical Note

The Occupational Employment and Wage Statistics (OEWS) survey is a semiannual survey measuring occupational employment and wage rates for wage and salary workers in nonfarm establishments in the United States. The OEWS data available from BLS include cross-industry occupational employment and wage estimates for the nation; over 580 areas, including states and the District of Columbia, metropolitan statistical areas (MSAs), nonmetropolitan areas, and territories; national industry-specific estimates at the NAICS sector, 3-digit, most 4-digit, and selected 5- and 6-digit industry levels; and national estimates by ownership across all industries and for schools and hospitals. Full OEWS data tables are available online.

Additional information about the OEWS estimates and methodology are available in the national Technical Notes. The overall national response rate for the six panels, based on the 50 states and the District of Columbia, is 65.8 percent based on establishments and 64.3 percent based on weighted sampled employment. The sample in the Minneapolis-St. Paul-Bloomington, MN-WI Metropolitan Statistical Area included 8,277 establishments with a response rate of 63 percent.

Metropolitan area definitions

The substate area data published in this release reflect the standards and definitions established by the U.S. Office of Management and Budget.

The Minneapolis-St. Paul-Bloomington, MN-WI Metropolitan Statistical Area includes Anoka County, MN; Carver County, MN; Chisago County, MN; Dakota County, MN; Hennepin County, MN; Isanti County, MN; Le Sueur County, MN; Mille Lacs County, MN; Ramsey County, MN; Scott County, MN; Sherburne County, MN; Sibley County, MN; Washington County, MN; Wright County, MN; Pierce County, WI; and St. Croix County, WI.

For more information

Answers to frequently asked questions about the OEWS data, as well as general program documentation, are available on the OEWS website.

Information in this release will be made available to individuals with sensory impairments upon request. Voice phone: (202) 691-5200; Telecommunications Relay Service: 7-1-1.

Table 1. Employment and wage data for business and financial operations occupations, Minneapolis metropolitan area, May 2023

Occupation (1)	Employment		Mean wages ($)
	Level (2)	Location quotient (3)	Hourly	Annual (4)
Business and financial operations occupations	154,580	1.2	44.56	92,670
Agents and business managers of artists, performers, and athletes	60	0.4	39.42	82,000
Buyers and purchasing agents	7,930	1.3	40.19	83,600
Claims adjusters, examiners, and investigators	3,850	1.0	36.73	76,390
Compliance officers	5,300	1.1	41.80	86,940
Cost estimators	2,490	0.9	40.80	84,860
Human resources specialists	12,300	1.1	39.50	82,160
Labor relations specialists	1,460	1.8	46.27	96,230
Logisticians	3,070	1.1	43.12	89,700
Project management specialists	13,960	1.2	48.92	101,760
Management analysts	17,290	1.6	50.51	105,060
Meeting, convention, and event planners	1,430	0.9	28.71	59,710
Fundraisers	1,900	1.5	35.82	74,510
Compensation, benefits, and job analysis specialists	1,430	1.1	42.85	89,120
Training and development specialists	5,670	1.1	39.59	82,340
Market research analysts and marketing specialists	17,940	1.7	43.02	89,490
Business operations specialists, all other	12,390	0.9	38.77	80,650
Accountants and auditors	22,310	1.2	43.02	89,480
Property appraisers and assessors	900	1.2	43.00	89,440
Budget analysts	220	0.4	45.94	95,560
Credit analysts	1,090	1.2	40.97	85,220
Financial and investment analysts	5,410	1.3	50.63	105,310
Personal financial advisors	4,620	1.4	79.09	164,500
Insurance underwriters	1,530	1.2	42.67	88,740
Financial risk specialists	920	1.3	55.16	114,730
Financial examiners	1,660	2.1	48.53	100,950
Credit counselors	460	1.3	28.45	59,170
Loan officers	4,430	1.1	49.00	101,910
Tax examiners and collectors, and revenue agents	890	1.4	36.01	74,890
Tax preparers	790	0.8	30.99	64,450
Financial specialists, all other	870	0.6	42.01	87,380
Footnotes: (1) For a complete listing of all detailed occupations in the Minneapolis-St. Paul-Bloomington, MN-WI Metropolitan Statistical Area, see www.bls.gov/oes/current/oes_33460.htm. (2) Estimates for detailed occupations may not sum to the totals due to rounding, and because the totals may include occupations that are not shown separately. Estimates do not include self-employed workers. (3) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration. A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average. (4) Annual wages have been calculated by multiplying the hourly mean wage by a 'year-round, full-time' hours figure of 2,080 hours; for those occupations where there is not an hourly mean wage published, the annual wage has been directly calculated from the reported survey data.