Pennsylvania | Health Care and Social Assistance vs. Local Government Earnings Structure & Performance by County

Earnings by County

Percent of Total Earnings, 2022

Health Care and Social Assistance vs. Local Government
Pennsylvania Earnings Distribution by County:

Percent of Total Earnings, 2022

	More than 22.5%	22.5% to 20.0%	20.0% to 17.5%	17.5% to 15.0%	15.0% to 12.5%	12.5% to 10.0%	10.0% or Below	Suppressed or Undefined	Total
Health Care and Social Assistance	3	3	5	10	19	7	7	13	67
Local Government	0	0	1	0	1	8	55	2	67

Health Care and Social Assistance vs. Local Government
Earnings Structure by County:
Pennsylvania, 2022

	Health Care and Social Assistance				Local Government
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
Adams	S	S	U	S	244,548	9.2	1.2	0.7
Allegheny	10,934,754	14.9	1.3	13.3	4,185,747	5.7	0.7	11.3
Armstrong	200,539	12.8	1.2	0.2	129,449	8.3	1.0	0.4
Beaver	607,552	14.2	1.3	0.7	466,816	10.9	1.4	1.3
Bedford	S	S	U	S	95,234	7.7	1.0	0.3
Berks	2,356,467	15.5	1.4	2.9	1,224,460	8.1	1.0	3.3
Blair	846,973	19.2	1.7	1.0	292,819	6.6	0.8	0.8
Bradford	439,827	23.5	2.1	0.5	167,011	8.9	1.1	0.5
Bucks	4,043,038	15.3	1.4	4.9	1,935,666	7.3	0.9	5.2
Butler	992,270	12.5	1.1	1.2	440,281	5.6	0.7	1.2
Cambria	686,225	21.0	1.9	0.8	303,314	9.3	1.2	0.8
Cameron	9,247	7.8	0.7	0.0	S	S	U	S
Carbon	209,575	13.4	1.2	0.3	133,727	8.6	1.1	0.4
Centre	725,732	10.3	0.9	0.9	337,507	4.8	0.6	0.9
Chester	2,411,645	7.2	0.7	2.9	1,605,023	4.8	0.6	4.3
Clarion	143,754	15.7	1.4	0.2	98,552	10.8	1.4	0.3
Clearfield	459,557	20.5	1.8	0.6	155,656	6.9	0.9	0.4
Clinton	S	S	U	S	93,567	9.9	1.3	0.3
Columbia	191,250	10.5	0.9	0.2	140,312	7.7	1.0	0.4
Crawford	385,101	17.4	1.6	0.5	181,625	8.2	1.0	0.5
Cumberland	1,949,228	14.8	1.3	2.4	566,223	4.3	0.5	1.5
Dauphin	3,288,060	18.7	1.7	4.0	922,953	5.3	0.7	2.5
Delaware	3,312,100	13.4	1.2	4.0	1,681,293	6.8	0.9	4.6
Elk	S	S	U	S	65,441	6.9	0.9	0.2
Erie	1,728,961	19.6	1.8	2.1	719,627	8.1	1.0	1.9
Fayette	457,139	16.8	1.5	0.6	280,428	10.3	1.3	0.8
Forest	18,189	10.9	1.0	0.0	S	S	U	S
Franklin	653,105	13.8	1.2	0.8	337,058	7.1	0.9	0.9
Fulton	S	S	U	S	30,729	7.4	0.9	0.1
Greene	S	S	U	S	98,642	9.0	1.1	0.3
Huntingdon	S	S	U	S	79,988	8.3	1.1	0.2
Indiana	293,028	12.7	1.2	0.4	180,846	7.9	1.0	0.5
Jefferson	126,661	11.8	1.1	0.2	81,327	7.6	1.0	0.2
Juniata	S	S	U	S	35,015	5.5	0.7	0.1
Lackawanna	1,384,459	18.7	1.7	1.7	543,272	7.3	0.9	1.5
Lancaster	3,181,593	13.2	1.2	3.9	1,254,375	5.2	0.7	3.4
Lawrence	342,127	16.5	1.5	0.4	207,975	10.0	1.3	0.6
Lebanon	489,169	11.2	1.0	0.6	314,906	7.2	0.9	0.9
Lehigh	4,417,598	23.6	2.1	5.4	1,208,660	6.5	0.8	3.3
Luzerne	1,753,726	15.9	1.4	2.1	794,868	7.2	0.9	2.2
Lycoming	782,979	20.6	1.9	0.9	282,204	7.4	0.9	0.8
McKean	136,738	13.0	1.2	0.2	110,111	10.5	1.3	0.3
Mercer	545,379	16.7	1.5	0.7	264,349	8.1	1.0	0.7
Mifflin	239,982	18.7	1.7	0.3	97,585	7.6	1.0	0.3
Monroe	620,308	14.1	1.3	0.8	460,445	10.5	1.3	1.2
Montgomery	7,293,467	12.0	1.1	8.8	2,650,953	4.4	0.6	7.2
Montour	1,010,780	57.4	5.2	1.2	50,443	2.9	0.4	0.1
Northampton	989,260	9.6	0.9	1.2	1,009,544	9.8	1.2	2.7
Northumberland	249,531	12.6	1.1	0.3	190,106	9.6	1.2	0.5
Perry	50,896	7.0	0.6	0.1	85,024	11.6	1.5	0.2
Philadelphia	13,973,221	16.8	1.5	16.9	6,194,777	7.4	0.9	16.8
Pike	70,800	8.0	0.7	0.1	165,754	18.8	2.4	0.4
Potter	S	S	U	S	45,956	9.7	1.2	0.1
Schuylkill	473,589	12.7	1.1	0.6	318,735	8.5	1.1	0.9
Snyder	S	S	U	S	75,676	6.6	0.8	0.2
Somerset	252,031	14.5	1.3	0.3	148,550	8.6	1.1	0.4
Sullivan	S	S	U	S	13,888	12.1	1.5	0.0
Susquehanna	58,303	7.1	0.6	0.1	105,322	12.8	1.6	0.3
Tioga	S	S	U	S	91,060	9.0	1.1	0.2
Union	S	S	U	S	83,094	5.4	0.7	0.2
Venango	195,234	16.2	1.5	0.2	108,781	9.0	1.1	0.3
Warren	135,853	13.2	1.2	0.2	84,136	8.2	1.0	0.2
Washington	948,078	10.5	0.9	1.1	479,259	5.3	0.7	1.3
Wayne	166,367	13.3	1.2	0.2	115,430	9.2	1.2	0.3
Westmoreland	1,336,253	12.8	1.2	1.6	841,867	8.1	1.0	2.3
Wyoming	41,099	5.2	0.5	0.0	60,286	7.6	1.0	0.2
York	2,272,661	14.9	1.3	2.8	1,122,050	7.3	0.9	3.0

Pennsylvania	82,445,991	14.7	1.3	100.0	36,913,554	6.6	0.8	100.0
Metropolitan	76,756,339	14.6	1.3	93.1	33,730,287	6.4	0.8	91.4
Nonmetropolitan	S	S	U	S	3,183,267	8.5	1.1	8.6

United States	1,684,068,000	11.1	1.0		1,199,218,000	7.9	1.0
Metropolitan U.S.	1,548,491,080	11.1	1.0		1,045,637,839	7.5	1.0
Nonmetropolitan U.S.	135,576,920	10.4	0.9		153,580,161	11.7	1.5

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 Pennsylvania Regional Economic Analysis Project (PA-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis

November 2023

REAP_PI_CA1600N_611600_620320_SA

Health Care and Social Assistance vs. Local Government
Earnings Structure by Region:
Pennsylvania, 2022

	Health Care and Social Assistance				Local Government
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
Allentown-Bethlehem-Easton	6,020,736	17.9	1.6	7.3	2,731,811	8.1	1.0	7.4
Altoona	846,973	19.2	1.7	1.0	292,819	6.6	0.8	0.8
Chambersburg	653,105	13.8	1.2	0.8	337,058	7.1	0.9	0.9
Erie	1,728,961	19.6	1.8	2.1	719,627	8.1	1.0	1.9
Gettysburg	S	S	U	S	244,548	9.2	1.2	0.7
Harrisburg-Carlisle	5,288,184	16.8	1.5	6.4	1,574,200	5.0	0.6	4.3
Johnstown	686,225	21.0	1.9	0.8	303,314	9.3	1.2	0.8
Lancaster	3,181,593	13.2	1.2	3.9	1,254,375	5.2	0.7	3.4
Lebanon	489,169	11.2	1.0	0.6	314,906	7.2	0.9	0.9
Philadelphia-Camden-Wilmington	43,990,520	13.9	1.3	53.4	20,986,130	6.6	0.8	56.9
Pittsburgh	15,476,585	14.1	1.3	18.8	6,823,847	6.2	0.8	18.5
Reading	2,356,467	15.5	1.4	2.9	1,224,460	8.1	1.0	3.3
Scranton--Wilkes-Barre	3,179,284	16.5	1.5	3.9	1,398,426	7.3	0.9	3.8
State College	725,732	10.3	0.9	0.9	337,507	4.8	0.6	0.9
Williamsport	782,979	20.6	1.9	0.9	282,204	7.4	0.9	0.8
York-Hanover	2,272,661	14.9	1.3	2.8	1,122,050	7.3	0.9	3.0

Pennsylvania	82,445,991	14.7	1.3	100.0	36,913,554	6.6	0.8	100.0
Metropolitan	76,756,339	14.6	1.3	93.1	33,730,287	6.4	0.8	91.4
Nonmetropolitan	S	S	U	S	3,183,267	8.5	1.1	8.6

United States	1,684,068,000	11.1	1.0		1,199,218,000	7.9	1.0
Metropolitan U.S.	1,548,491,080	11.1	1.0		1,045,637,839	7.5	1.0
Nonmetropolitan U.S.	135,576,920	10.4	0.9		153,580,161	11.7	1.5

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 Pennsylvania Regional Economic Analysis Project (PA-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis

November 2023

REAP_PI_CA1600N_611600_620320_SB

Real* Earnings Growth by County

Growth Rates, 2022

Health Care and Social Assistance vs. Local Government
Pennsylvania Real* Earnings Growth Distribution by County:

Growth Rates, 2022

	More than 5%	5% to 4%	4% to 3%	3% to 2%	2% to 1%	1% to 0%	0% or Below	Suppressed or Undefined	Total
Health Care and Social Assistance	4	2	2	6	6	6	27	14	67
Local Government	0	0	0	0	0	0	60	7	67

Health Care and Social Assistance vs. Local Government
Real* Earnings Growth by County:
Pennsylvania, 2022

	Health Care and Social Assistance				Local Government
County	Growth Rate	CC1	2Local - National Growth	3Local - State Growth	Growth Rate	CC1	2Local - National Growth	3Local - State Growth
Adams	N	N	N	N	-5.7	-0.5	-2.3	-0.8
Allegheny	-0.2	0.0	-0.6	-1.2	-6.2	-0.4	-2.7	-1.3
Armstrong	-1.4	-0.2	-1.8	-2.3	-9.0	-0.9	-5.6	-4.1
Beaver	-2.2	-0.3	-2.6	-3.1	-5.7	-0.6	-2.3	-0.8
Bedford	N	N	N	N	-4.5	-0.4	-1.1	0.4
Berks	0.0	0.0	-0.4	-0.9	-5.6	-0.5	-2.2	-0.7
Blair	-5.8	-1.2	-6.2	-6.8	-5.4	-0.4	-2.0	-0.5
Bradford	2.8	0.6	2.4	1.8	-6.5	-0.6	-3.1	-1.6
Bucks	3.2	0.5	2.8	2.2	N	N	N	N
Butler	0.3	0.0	-0.1	-0.7	-4.6	-0.3	-1.2	0.3
Cambria	-4.4	-0.9	-4.8	-5.3	-4.9	-0.5	-1.5	0.0
Cameron	N	N	N	N	N	N	N	N
Carbon	8.4	0.9	8.0	7.4	N	N	N	N
Centre	-1.9	-0.2	-2.3	-2.9	-1.3	-0.1	2.1	3.6
Chester	-6.9	-0.5	-7.3	-7.9	N	N	N	N
Clarion	-2.8	-0.4	-3.3	-3.8	-4.6	-0.5	-1.2	0.3
Clearfield	-1.7	-0.3	-2.1	-2.6	-5.3	-0.4	-1.9	-0.4
Clinton	N	N	N	N	-5.9	-0.6	-2.5	-1.0
Columbia	-5.0	-0.5	-5.4	-6.0	-7.6	-0.6	-4.2	-2.8
Crawford	0.0	0.0	-0.4	-1.0	-6.2	-0.5	-2.8	-1.3
Cumberland	6.1	0.8	5.7	5.1	-6.6	-0.3	-3.2	-1.7
Dauphin	2.3	0.4	1.9	1.3	-3.8	-0.2	-0.4	1.1
Delaware	1.2	0.2	0.8	0.2	-2.8	-0.2	0.6	2.0
Elk	N	N	N	N	-5.7	-0.4	-2.3	-0.8
Erie	-0.6	-0.1	-1.0	-1.6	-4.4	-0.4	-1.0	0.5
Fayette	1.9	0.3	1.5	0.9	-4.9	-0.5	-1.5	0.0
Forest	2.4	0.3	2.0	1.4	N	N	N	N
Franklin	-4.4	-0.6	-4.8	-5.4	-2.8	-0.2	0.6	2.1
Fulton	N	N	N	N	-6.8	-0.5	-3.4	-1.9
Greene	N	N	N	N	-6.4	-0.6	-3.0	-1.5
Huntingdon	N	N	N	N	-4.3	-0.4	-0.9	0.6
Indiana	-1.8	-0.2	-2.2	-2.7	-6.7	-0.5	-3.3	-1.8
Jefferson	-6.9	-0.9	-7.3	-7.9	-6.9	-0.6	-3.4	-2.0
Juniata	N	N	N	N	N	N	N	N
Lackawanna	-0.3	-0.1	-0.7	-1.3	-1.6	-0.1	1.8	3.2
Lancaster	0.8	0.1	0.4	-0.1	-4.6	-0.3	-1.2	0.3
Lawrence	1.5	0.2	1.0	0.5	-6.8	-0.7	-3.4	-1.9
Lebanon	-2.4	-0.3	-2.8	-3.3	-4.8	-0.4	-1.4	0.1
Lehigh	4.7	1.1	4.2	3.7	-4.2	-0.3	-0.8	0.6
Luzerne	0.5	0.1	0.1	-0.5	-4.6	-0.3	-1.2	0.3
Lycoming	1.8	0.4	1.4	0.9	-5.8	-0.5	-2.4	-0.9
McKean	-5.4	-0.7	-5.8	-6.4	-5.1	-0.6	-1.7	-0.3
Mercer	-6.1	-1.1	-6.6	-7.1	-4.9	-0.4	-1.5	0.0
Mifflin	2.1	0.4	1.7	1.2	-4.0	-0.3	-0.6	0.9
Monroe	5.8	0.7	5.4	4.8	-6.7	-0.7	-3.3	-1.8
Montgomery	3.1	0.4	2.7	2.1	-4.6	-0.2	-1.2	0.3
Montour	2.5	1.4	2.1	1.5	-7.8	-0.2	-4.4	-3.0
Northampton	-0.2	0.0	-0.6	-1.1	-6.0	-0.6	-2.6	-1.1
Northumberland	1.4	0.2	1.0	0.4	-7.5	-0.8	-4.1	-2.6
Perry	7.0	0.5	6.6	6.1	-7.1	-0.9	-3.7	-2.2
Philadelphia	2.8	0.5	2.4	1.8	-4.0	-0.3	-0.6	0.9
Pike	4.7	0.4	4.2	3.7	N	N	N	N
Potter	N	N	N	N	-4.5	-0.4	-1.1	0.4
Schuylkill	1.5	0.2	1.1	0.6	-5.5	-0.5	-2.1	-0.6
Snyder	N	N	N	N	-7.8	-0.6	-4.4	-2.9
Somerset	-3.2	-0.5	-3.6	-4.1	-6.3	-0.6	-2.9	-1.5
Sullivan	N	N	N	N	-6.6	-0.9	-3.2	-1.8
Susquehanna	0.2	0.0	-0.2	-0.8	-4.5	-0.6	-1.1	0.4
Tioga	N	N	N	N	-4.7	-0.4	-1.3	0.2
Union	N	N	N	N	-4.5	-0.3	-1.1	0.4
Venango	-4.8	-0.8	-5.2	-5.7	-5.6	-0.5	-2.2	-0.7
Warren	-4.0	-0.6	-4.4	-5.0	-3.9	-0.3	-0.5	1.0
Washington	-2.0	-0.2	-2.4	-3.0	-5.2	-0.3	-1.8	-0.4
Wayne	-0.2	0.0	-0.6	-1.1	-7.2	-0.7	-3.8	-2.4
Westmoreland	-1.8	-0.2	-2.2	-2.8	-6.1	-0.5	-2.7	-1.2
Wyoming	-12.2	-0.7	-12.6	-13.2	-5.5	-0.4	-2.1	-0.6
York	0.8	0.1	0.4	-0.1	-6.2	-0.5	-2.8	-1.3

Pennsylvania	1.0	0.1	0.6	0.0	-4.9	-0.3	-1.5	0.0
Metropolitan	1.1	0.2	0.7	0.1	N	N	N	N
Nonmetropolitan	N	N	N	N	-4.5	-0.4	-1.1	0.4

United States	0.4	0.0	0.0		-3.4	-0.3	0.0
Metropolitan U.S.	0.5	0.1	0.1		-3.4	-0.3	0.0
Nonmetropolitan U.S.	-0.5	-0.1	-0.9		-3.1	-0.4	0.3

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 Pennsylvania 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 Pennsylvania Regional Economic Analysis Project (PA-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis

November 2023

REAP_PI_CA1600N_611600_620320_GA

Health Care and Social Assistance vs. Local Government
Real* Earnings Growth by Region:
Pennsylvania, 2022

	Health Care and Social Assistance				Local Government
Metropolitan Statistical Areas	Growth Rate	CC1	2Local - National Growth	3Local - State Growth	Growth Rate	CC1	2Local - National Growth	3Local - State Growth
Allentown-Bethlehem-Easton	3.8	0.6	3.4	2.8	-5.0	-0.4	-1.6	-0.1
Altoona	-5.8	-1.2	-6.2	-6.8	-5.4	-0.4	-2.0	-0.5
Chambersburg	-4.4	-0.6	-4.8	-5.4	-2.8	-0.2	0.6	2.1
Erie	-0.6	-0.1	-1.0	-1.6	-4.4	-0.4	-1.0	0.5
Gettysburg	N	N	N	N	-5.7	-0.5	-2.3	-0.8
Harrisburg-Carlisle	3.7	0.6	3.3	2.7	-5.0	-0.3	-1.6	-0.1
Johnstown	-4.4	-0.9	-4.8	-5.3	-4.9	-0.5	-1.5	0.0
Lancaster	0.8	0.1	0.4	-0.1	-4.6	-0.3	-1.2	0.3
Lebanon	-2.4	-0.3	-2.8	-3.3	-4.8	-0.4	-1.4	0.1
Philadelphia-Camden-Wilmington	2.1	0.3	1.7	1.1	N	N	N	N
Pittsburgh	-0.5	-0.1	-0.9	-1.4	-6.0	-0.4	-2.6	-1.1
Reading	0.0	0.0	-0.4	-0.9	-5.6	-0.5	-2.2	-0.7
Scranton--Wilkes-Barre	-0.1	0.0	-0.5	-1.0	-3.5	-0.3	-0.1	1.4
State College	-1.9	-0.2	-2.3	-2.9	-1.3	-0.1	2.1	3.6
Williamsport	1.8	0.4	1.4	0.9	-5.8	-0.5	-2.4	-0.9
York-Hanover	0.8	0.1	0.4	-0.1	-6.2	-0.5	-2.8	-1.3

Pennsylvania	1.0	0.1	0.6	0.0	-4.9	-0.3	-1.5	0.0
Metropolitan	1.1	0.2	0.7	0.1	N	N	N	N
Nonmetropolitan	N	N	N	N	-4.5	-0.4	-1.1	0.4

United States	0.4	0.0	0.0		-3.4	-0.3	0.0
Metropolitan U.S.	0.5	0.1	0.1		-3.4	-0.3	0.0
Nonmetropolitan U.S.	-0.5	-0.1	-0.9		-3.1	-0.4	0.3

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 Pennsylvania 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 Pennsylvania Regional Economic Analysis Project (PA-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis

November 2023

REAP_PI_CA1600N_611600_620320_GB

Additional Notes on Interpreting
Earnings for Pennsylvania

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 Pennsylvania over 2022, and 2002-2022, respectively. When summed over all industries the component contribution will match Pennsylvania's TOTAL earnings growth rate.

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