Minnesota | Health Care and Social Assistance vs. Professional, Scientific, and Technical Services Earnings Structure & Performance by County

Earnings by County

Percent of Total Earnings, 2022

Health Care and Social Assistance vs. Professional, Scientific, and Technical Services
Minnesota Earnings Distribution by County:

Percent of Total Earnings, 2022

	More than 20.0%	20.0% to 17.5%	17.5% to 15.0%	15.0% to 12.5%	12.5% to 10.0%	10.0% to 7.5%	7.5% or Below	Suppressed or Undefined	Total
Health Care and Social Assistance	6	3	3	8	13	9	8	37	87
Professional, Scientific, and Technical Services	0	0	1	0	0	2	64	20	87

Health Care and Social Assistance
vs.
Professional, Scientific, and Technical Services

Earnings Structure by County:
Minnesota, 2022

	Health Care and Social Assistance				Professional, Scientific, and Technical Services
County	3Earnings (1000s)	Percent of Total Earnings	1Location Quotient	Percent of State Sector Total	3Earnings (1000s)	Percent of Total Earnings	1Location Quotient	Percent of State Sector Total
Aitkin	59,884	20.3	1.8	0.2	13,230	4.5	0.4	0.1
Anoka	1,407,345	12.1	1.1	3.8	557,020	4.8	0.4	2.1
Becker	140,969	12.5	1.1	0.4	36,129	3.2	0.3	0.1
Beltrami	312,564	20.9	1.9	0.8	33,532	2.2	0.2	0.1
Benton	104,866	7.4	0.7	0.3	S	S	U	S
Big Stone	S	S	U	S	907	0.5	0.0	0.0
Blue Earth	647,535	20.9	1.9	1.7	156,100	5.0	0.4	0.6
Brown	134,663	12.2	1.1	0.4	51,066	4.6	0.4	0.2
Carlton	127,484	12.8	1.2	0.3	37,015	3.7	0.3	0.1
Carver	475,074	11.5	1.0	1.3	285,910	6.9	0.6	1.1
Cass	S	S	U	S	17,970	2.6	0.2	0.1
Chippewa	S	S	U	S	7,634	1.7	0.2	0.0
Chisago	257,002	19.8	1.8	0.7	115,963	8.9	0.8	0.4
Clay	185,819	11.1	1.0	0.5	82,931	5.0	0.4	0.3
Clearwater	S	S	U	S	2,989	1.4	0.1	0.0
Cook	8,600	4.9	0.4	0.0	2,978	1.7	0.1	0.0
Cottonwood	S	S	U	S	S	S	U	S
Crow Wing	430,639	19.0	1.7	1.2	91,561	4.0	0.4	0.3
Dakota	1,559,016	8.3	0.8	4.2	1,288,685	6.9	0.6	4.9
Dodge	S	S	U	S	S	S	U	S
Douglas	169,366	10.4	0.9	0.5	52,286	3.2	0.3	0.2
Faribault	S	S	U	S	8,463	1.9	0.2	0.0
Fillmore	S	S	U	S	11,944	2.3	0.2	0.0
Freeborn	112,817	11.9	1.1	0.3	S	S	U	S
Goodhue	203,860	10.4	0.9	0.6	43,456	2.2	0.2	0.2
Grant	S	S	U	S	2,019	1.0	0.1	0.0
Hennepin	11,231,126	10.2	0.9	30.3	18,198,438	16.5	1.5	69.4
Houston	S	S	U	S	S	S	U	S
Hubbard	S	S	U	S	S	S	U	S
Isanti	145,543	17.5	1.6	0.4	S	S	U	S
Itasca	218,466	18.1	1.6	0.6	31,744	2.6	0.2	0.1
Jackson	S	S	U	S	8,426	1.8	0.2	0.0
Kanabec	75,369	23.0	2.1	0.2	5,987	1.8	0.2	0.0
Kandiyohi	312,534	17.2	1.6	0.8	61,571	3.4	0.3	0.2
Kittson	S	S	U	S	2,037	1.2	0.1	0.0
Koochiching	S	S	U	S	2,766	0.8	0.1	0.0
Lac qui Parle	15,699	6.1	0.6	0.0	1,887	0.7	0.1	0.0
Lake County	S	S	U	S	5,129	1.7	0.1	0.0
Lake of the Woods	10,475	9.0	0.8	0.0	S	S	U	S
Le Sueur	37,717	5.2	0.5	0.1	17,315	2.4	0.2	0.1
Lincoln	S	S	U	S	2,837	1.7	0.1	0.0
Lyon	166,654	14.0	1.3	0.5	34,513	2.9	0.3	0.1
McLeod	177,468	13.4	1.2	0.5	30,823	2.3	0.2	0.1
Mahnomen	6,377	4.1	0.4	0.0	885	0.6	0.1	0.0
Marshall	S	S	U	S	4,025	1.1	0.1	0.0
Martin	82,326	10.9	1.0	0.2	20,757	2.8	0.2	0.1
Meeker	47,963	7.4	0.7	0.1	25,243	3.9	0.3	0.1
Mille Lacs	S	S	U	S	30,326	4.8	0.4	0.1
Morrison	S	S	U	S	21,189	2.5	0.2	0.1
Mower	173,731	12.4	1.1	0.5	S	S	U	S
Murray	S	S	U	S	7,291	2.4	0.2	0.0
Nicollet	S	S	U	S	S	S	U	S
Nobles	71,797	7.8	0.7	0.2	S	S	U	S
Norman	20,629	10.9	1.0	0.1	6,122	3.2	0.3	0.0
Olmsted	5,317,473	53.8	4.9	14.4	248,455	2.5	0.2	0.9
Otter Tail	235,640	12.7	1.1	0.6	60,418	3.3	0.3	0.2
Pennington	S	S	U	S	S	S	U	S
Pine	45,713	8.8	0.8	0.1	S	S	U	S
Pipestone	S	S	U	S	33,337	7.5	0.7	0.1
Polk	148,089	14.8	1.3	0.4	24,589	2.5	0.2	0.1
Pope	S	S	U	S	10,317	2.4	0.2	0.0
Ramsey	4,666,718	14.3	1.3	12.6	2,168,060	6.7	0.6	8.3
Red Lake	S	S	U	S	2,390	1.7	0.2	0.0
Redwood	S	S	U	S	9,168	1.1	0.1	0.0
Renville	45,148	7.8	0.7	0.1	15,153	2.6	0.2	0.1
Rice	168,677	8.3	0.7	0.5	S	S	U	S
Rock	38,905	10.0	0.9	0.1	S	S	U	S
Roseau	S	S	U	S	9,791	1.4	0.1	0.0
St. Louis	1,895,787	24.8	2.2	5.1	452,020	5.9	0.5	1.7
Scott	413,050	7.3	0.7	1.1	316,820	5.6	0.5	1.2
Sherburne	232,126	10.3	0.9	0.6	74,061	3.3	0.3	0.3
Sibley	22,046	6.1	0.6	0.1	S	S	U	S
Stearns	1,274,981	17.0	1.5	3.4	246,639	3.3	0.3	0.9
Steele	155,523	10.2	0.9	0.4	S	S	U	S
Stevens	S	S	U	S	17,435	3.5	0.3	0.1
Swift	S	S	U	S	6,042	1.3	0.1	0.0
Todd	S	S	U	S	S	S	U	S
Traverse	S	S	U	S	1,652	0.9	0.1	0.0
Wabasha	S	S	U	S	12,121	2.3	0.2	0.0
Wadena	S	S	U	S	9,175	2.2	0.2	0.0
Waseca	S	S	U	S	17,835	3.2	0.3	0.1
Washington	1,117,665	13.8	1.2	3.0	639,200	7.9	0.7	2.4
Watonwan	S	S	U	S	S	S	U	S
Wilkin	S	S	U	S	4,730	1.8	0.2	0.0
Winona	164,041	9.1	0.8	0.4	S	S	U	S
Wright	358,269	9.7	0.9	1.0	122,431	3.3	0.3	0.5
Yellow Medicine	S	S	U	S	4,514	1.2	0.1	0.0

Minnesota	37,014,201	13.2	1.2	100.0	26,232,320	9.3	0.8	100.0
Metropolitan	31,965,685	13.5	1.2	86.4	25,185,599	10.6	0.9	96.0
Nonmetropolitan	5,048,516	11.6	1.0	13.6	1,046,721	2.4	0.2	4.0

United States	1,684,068,000	11.1	1.0		1,725,868,000	11.3	1.0
Metropolitan U.S.	1,548,491,080	11.1	1.0		1,674,679,098	12.0	1.1
Nonmetropolitan U.S.	135,576,920	10.4	0.9		51,188,902	3.9	0.3

1 Ratio of the share of employment in a given industry locally to the corresponding industry share nationwide.

S Suppressed to avoid disclosure of confidential information.

U (Undefined) Insufficient Data Available.

Source: Calculations by the Minnesota Regional Economic Analysis Project (MN-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis

November 2023

REAP_PI_CA1600N_611600_611200_SA

Health Care and Social Assistance
vs.
Professional, Scientific, and Technical Services

Earnings Structure by Region:
Minnesota, 2022

	Health Care and Social Assistance				Professional, Scientific, and Technical Services
Metropolitan Statistical Areas	3Earnings (1000s)	Percent of Total Earnings	1Location Quotient	Percent of State Sector Total	3Earnings (1000s)	Percent of Total Earnings	1Location Quotient	Percent of State Sector Total
Duluth	2,121,432	20.6	1.9	5.7	526,799	5.1	0.5	2.0
Fargo	2,111,103	16.8	1.5	5.7	794,884	6.3	0.6	3.0
Grand Forks	713,411	16.2	1.5	1.9	179,198	4.1	0.4	0.7
La Crosse-Onalaska	S	S	U	S	S	S	U	S
Mankato	S	S	U	S	S	S	U	S
Minneapolis-St. Paul-Bloomington	S	S	U	S	24,006,106	11.7	1.0	91.5
Rochester	5,435,988	47.3	4.3	14.7	S	S	U	S
St. Cloud	1,379,847	15.4	1.4	3.7	S	S	U	S
Sioux Falls	2,867,743	17.6	1.6	7.7	981,107	6.0	0.5	3.7

Minnesota	37,014,201	13.2	1.2	100.0	26,232,320	9.3	0.8	100.0
Metropolitan	31,965,685	13.5	1.2	86.4	25,185,599	10.6	0.9	96.0
Nonmetropolitan	5,048,516	11.6	1.0	13.6	1,046,721	2.4	0.2	4.0

United States	1,684,068,000	11.1	1.0		1,725,868,000	11.3	1.0
Metropolitan U.S.	1,548,491,080	11.1	1.0		1,674,679,098	12.0	1.1
Nonmetropolitan U.S.	135,576,920	10.4	0.9		51,188,902	3.9	0.3

1 Ratio of the share of employment in a given industry locally to the corresponding industry share nationwide.

S Suppressed to avoid disclosure of confidential information.

U (Undefined) Insufficient Data Available.

Source: Calculations by the Minnesota Regional Economic Analysis Project (MN-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis

November 2023

REAP_PI_CA1600N_611600_611200_SB

Real* Earnings Growth by County

Growth Rates, 2022

Health Care and Social Assistance vs. Professional, Scientific, and Technical Services
Minnesota Real* Earnings Growth Distribution by County:

Growth Rates, 2022

	More than 10%	10% to 8%	8% to 6%	6% to 4%	4% to 2%	2% to 0%	0% or Below	Suppressed or Undefined	Total
Health Care and Social Assistance	2	2	1	3	2	6	33	38	87
Professional, Scientific, and Technical Services	12	1	3	6	9	8	23	25	87

Health Care and Social Assistance
vs.
Professional, Scientific, and Technical Services

Real* Earnings Growth by County:
Minnesota, 2022

	Health Care and Social Assistance				Professional, Scientific, and Technical Services
County	Growth Rate	CC1	2Local - National Growth	3Local - State Growth	Growth Rate	CC1	2Local - National Growth	3Local - State Growth
Aitkin	N	N	N	N	N	N	N	N
Anoka	-1.7	-0.2	-2.1	-0.8	1.9	0.1	0.3	-0.7
Becker	2.1	0.3	1.7	3.0	N	N	N	N
Beltrami	-6.8	-1.5	-7.2	-5.9	-4.8	-0.1	-6.5	-7.5
Benton	-0.3	0.0	-0.8	0.5	N	N	N	N
Big Stone	N	N	N	N	-1.1	0.0	-2.7	-3.7
Blue Earth	0.7	0.1	0.3	1.6	0.5	0.0	-1.2	-2.2
Brown	-0.1	0.0	-0.5	0.8	-1.2	-0.1	-2.9	-3.9
Carlton	-2.9	-0.4	-3.3	-2.0	5.5	0.2	3.8	2.8
Carver	4.7	0.5	4.3	5.6	1.7	0.1	0.1	-0.9
Cass	N	N	N	N	5.2	0.1	3.5	2.5
Chippewa	N	N	N	N	N	N	N	N
Chisago	-3.5	-0.7	-3.9	-2.6	-9.6	-0.9	-11.2	-12.2
Clay	3.3	0.4	2.9	4.2	1.7	0.1	0.1	-0.9
Clearwater	N	N	N	N	10.6	0.1	8.9	7.9
Cook	7.8	0.4	7.4	8.7	0.0	0.0	-1.6	-2.6
Cottonwood	N	N	N	N	N	N	N	N
Crow Wing	-1.3	-0.3	-1.7	-0.4	5.0	0.2	3.4	2.4
Dakota	-0.5	0.0	-0.9	0.4	-0.7	-0.1	-2.4	-3.4
Dodge	N	N	N	N	N	N	N	N
Douglas	4.6	0.5	4.2	5.5	-0.3	0.0	-2.0	-3.0
Faribault	N	N	N	N	23.3	0.4	21.6	20.6
Fillmore	N	N	N	N	2.7	0.1	1.0	0.0
Freeborn	-4.4	-0.6	-4.8	-3.5	N	N	N	N
Goodhue	-2.5	-0.3	-2.9	-1.6	0.5	0.0	-1.2	-2.2
Grant	N	N	N	N	-3.8	0.0	-5.5	-6.5
Hennepin	-0.6	-0.1	-1.0	0.3	3.0	0.5	1.3	0.3
Houston	N	N	N	N	N	N	N	N
Hubbard	N	N	N	N	N	N	N	N
Isanti	-4.2	-0.8	-4.6	-3.3	N	N	N	N
Itasca	1.3	0.2	0.9	2.2	13.3	0.3	11.6	10.6
Jackson	N	N	N	N	-17.3	-0.4	-18.9	-19.9
Kanabec	37.8	6.3	37.4	38.7	-2.9	-0.1	-4.6	-5.6
Kandiyohi	-0.5	-0.1	-0.9	0.4	-2.1	-0.1	-3.7	-4.7
Kittson	N	N	N	N	3.8	0.0	2.1	1.1
Koochiching	N	N	N	N	-22.0	-0.2	-23.7	-24.7
Lac qui Parle	1.5	0.1	1.1	2.4	-2.7	0.0	-4.3	-5.3
Lake County	N	N	N	N	-5.8	-0.1	-7.5	-8.5
Lake of the Woods	8.6	0.7	8.2	9.5	N	N	N	N
Le Sueur	0.0	0.0	-0.4	0.9	7.5	0.2	5.8	4.8
Lincoln	N	N	N	N	-9.0	-0.2	-10.7	-11.7
Lyon	1.5	0.2	1.1	2.4	-5.0	-0.2	-6.7	-7.7
McLeod	-2.5	-0.3	-2.9	-1.6	22.0	0.4	20.4	19.4
Mahnomen	37.0	1.1	36.6	37.9	7.3	0.0	5.6	4.6
Marshall	N	N	N	N	16.3	0.2	14.6	13.6
Martin	-2.9	-0.3	-3.3	-2.0	4.7	0.1	3.0	2.0
Meeker	4.5	0.3	4.1	5.4	3.1	0.1	1.4	0.4
Mille Lacs	N	N	N	N	N	N	N	N
Morrison	N	N	N	N	-46.0	-2.1	-47.7	-48.7
Mower	-6.1	-0.8	-6.5	-5.2	N	N	N	N
Murray	N	N	N	N	13.5	0.3	11.8	10.8
Nicollet	N	N	N	N	N	N	N	N
Nobles	-13.3	-1.2	-13.8	-12.5	N	N	N	N
Norman	8.1	0.8	7.7	9.0	3.4	0.1	1.7	0.7
Olmsted	-1.7	-0.9	-2.1	-0.8	14.0	0.3	12.4	11.4
Otter Tail	-2.5	-0.3	-2.9	-1.6	2.1	0.1	0.5	-0.5
Pennington	N	N	N	N	N	N	N	N
Pine	-3.3	-0.3	-3.7	-2.4	N	N	N	N
Pipestone	N	N	N	N	14.4	1.0	12.7	11.7
Polk	0.0	0.0	-0.4	0.9	-7.1	-0.2	-8.8	-9.8
Pope	N	N	N	N	-1.0	0.0	-2.7	-3.7
Ramsey	0.4	0.1	0.0	1.3	5.7	0.4	4.0	3.0
Red Lake	N	N	N	N	N	N	N	N
Redwood	N	N	N	N	6.4	0.1	4.8	3.8
Renville	-3.2	-0.3	-3.6	-2.4	-7.6	-0.2	-9.3	-10.3
Rice	-5.9	-0.5	-6.3	-5.0	N	N	N	N
Rock	-0.4	0.0	-0.9	0.4	N	N	N	N
Roseau	N	N	N	N	9.3	0.1	7.6	6.6
St. Louis	-2.5	-0.6	-2.9	-1.6	-3.6	-0.2	-5.3	-6.3
Scott	-0.7	-0.1	-1.1	0.2	-1.6	-0.1	-3.3	-4.3
Sherburne	-1.1	-0.1	-1.5	-0.2	0.2	0.0	-1.5	-2.5
Sibley	-3.5	-0.2	-3.9	-2.6	N	N	N	N
Stearns	-0.6	-0.1	-1.0	0.3	-7.4	-0.3	-9.1	-10.1
Steele	-1.4	-0.1	-1.8	-0.5	N	N	N	N
Stevens	N	N	N	N	28.9	0.8	27.2	26.2
Swift	N	N	N	N	-15.0	-0.3	-16.7	-17.7
Todd	N	N	N	N	N	N	N	N
Traverse	N	N	N	N	2.5	0.0	0.8	-0.2
Wabasha	N	N	N	N	11.2	0.2	9.5	8.5
Wadena	N	N	N	N	14.7	0.3	13.1	12.1
Waseca	N	N	N	N	22.9	0.6	21.3	20.3
Washington	-2.3	-0.3	-2.7	-1.4	4.0	0.3	2.4	1.4
Watonwan	N	N	N	N	N	N	N	N
Wilkin	N	N	N	N	3.4	0.1	1.7	0.7
Winona	-2.7	-0.3	-3.1	-1.8	N	N	N	N
Wright	-2.0	-0.2	-2.4	-1.1	2.3	0.1	0.7	-0.3
Yellow Medicine	N	N	N	N	1.5	0.0	-0.2	-1.2

Minnesota	-0.9	-0.1	-1.3	0.0	2.7	0.2	1.0	0.0
Metropolitan	-0.8	-0.1	-1.2	0.1	2.7	0.3	1.1	0.1
Nonmetropolitan	-1.4	-0.2	-1.8	-0.5	1.0	0.0	-0.6	-1.6

United States	0.4	0.0	0.0		1.7	0.2	0.0
Metropolitan U.S.	0.5	0.1	0.1		1.6	0.2	-0.1
Nonmetropolitan U.S.	-0.5	-0.1	-0.9		4.3	0.2	2.6

1 CC (Component Contribution) - Contibution to the to total growth of all local earnings.

2 Difference between the national growth rate and the local growth rate.

3 Difference between the Minnesota growth rate and the local growth rate.

N Data not available for this year or not meaningful.

*Real earnings determined using the Implicit Price Deflator for
Personal Consumption (2017=1.00).

Note: Percent growth figures may not add due to rounding by a factor of ± 0.1%

Source: Calculations by the Minnesota Regional Economic Analysis Project (MN-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis

November 2023

REAP_PI_CA1600N_611600_611200_GA

Health Care and Social Assistance
vs.
Professional, Scientific, and Technical Services

Real* Earnings Growth by Region:
Minnesota, 2022

	Health Care and Social Assistance				Professional, Scientific, and Technical Services
Metropolitan Statistical Areas	Growth Rate	CC1	2Local - National Growth	3Local - State Growth	Growth Rate	CC1	2Local - National Growth	3Local - State Growth
Duluth	-2.4	-0.5	-2.8	-1.5	-3.3	-0.2	-5.0	-6.0
Fargo	-0.7	-0.1	-1.1	0.2	1.3	0.1	-0.4	-1.4
Grand Forks	1.0	0.2	0.6	1.9	-3.0	-0.1	-4.7	-5.7
La Crosse-Onalaska	N	N	N	N	N	N	N	N
Mankato	N	N	N	N	N	N	N	N
Minneapolis-St. Paul-Bloomington	N	N	N	N	2.7	0.3	1.1	0.1
Rochester	-1.8	-0.9	-2.2	-0.9	N	N	N	N
St. Cloud	-0.6	-0.1	-1.0	0.3	N	N	N	N
Sioux Falls	N	N	N	N	8.5	0.5	6.9	5.9

Minnesota	-0.9	-0.1	-1.3	0.0	2.7	0.2	1.0	0.0
Metropolitan	-0.8	-0.1	-1.2	0.1	2.7	0.3	1.1	0.1
Nonmetropolitan	-1.4	-0.2	-1.8	-0.5	1.0	0.0	-0.6	-1.6

United States	0.4	0.0	0.0		1.7	0.2	0.0
Metropolitan U.S.	0.5	0.1	0.1		1.6	0.2	-0.1
Nonmetropolitan U.S.	-0.5	-0.1	-0.9		4.3	0.2	2.6

1 CC (Component Contribution) - Contibution to the to total growth of all local earnings.

2 Difference between the national growth rate and the local growth rate.

3 Difference between the Minnesota growth rate and the local growth rate.

N Data not available for this year or not meaningful.

*Real earnings determined using the Implicit Price Deflator for
Personal Consumption (2017=1.00).

Note: Percent growth figures may not add due to rounding by a factor of ± 0.1%

Source: Calculations by the Minnesota Regional Economic Analysis Project (MN-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis

November 2023

REAP_PI_CA1600N_611600_611200_GB

Additional Notes on Interpreting
Earnings for Minnesota

Earnings

The earnings by major industry estimates compiled by the Bureau of Economic Analysis (BEA) are by place of work, and are the sum of wage and salary disbursements (payrolls), supplements to wages and salaries, and proprietors' income. The earnings by industry data are expressed in thousands of current dollars ($1,000s). Unlike wage and salary disbursements, it should be noted that proprietors' income may be reported as negative for those years in which the net income of sole proprietors and partnerships are in the red for a particular sector. This is not an especially unusual occurrence in some relatively small economies where farm proprietorships are dominant. However, this may yield some somewhat unconventional results, such as an industry recording a negative share of total earnings.

Other/Suppressed Industries

For some areas, an industry category labeled "Other/Suppressed Industries" may appear in the table. It is not uncommon, especially for smaller areas, to encounter suppressed data for selected industries. Data are suppressed to avoid disclosure of confidential information regarding individual firms. Even though the concern for confidentiality may relate to only one industry, data for at least two must be suppressed as summing over the reported data and subtracting from the total yields data for the suppressed category. When suppressed data is encountered, it is reported in the "Other/Suppressed Industries" category.

Location Quotient

Location quotients help gauge the extent to which various industries are more or less concentrated locally when compared with the nation at large. If an industry's share of total earnings is the same as the national share, then its location quotient is equal to one. If an industry is concentrated in a region, its local employment share will be larger than the share nationally, and its location quotient will correspondingly be greater than one. Conversely, the location quotient for an industry not concentrated in the region will fall between zero and one.

Component Contribution

The component contribution isolates and records each industry's individual contribution to the total growth of earnings in Minnesota over 2022, and 2002-2022, respectively. When summed over all industries the component contribution will match Minnesota's TOTAL earnings growth rate.

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