About this application: This application provides summary profiles showing frequently requested data items from various US Census Bureau programs. Profiles are available for the nation, states, and counties.

Median household income (in 2018 dollars), 2014-2018 - (US Dollars)

County

Value

Adams

64,507

Allegheny

58,383

Armstrong

49,032

Beaver

55,828

Bedford

49,146

Berks

61,522

Blair

47,969

Bradford

51,457

Bucks

86,055

Butler

68,472

Cambria

45,901

Cameron

41,485

Carbon

53,624

Centre

58,055

Chester

96,726

Clarion

45,625

Clearfield

47,270

Clinton

49,234

Columbia

49,889

Crawford

49,144

Cumberland

68,895

Dauphin

58,916

Delaware

71,539

Elk

51,112

Erie

49,716

Fayette

44,476

Forest

38,383

Franklin

59,713

Fulton

51,259

Greene

54,121

Huntingdon

48,597

Indiana

46,877

Jefferson

46,818

Juniata

52,765

Lackawanna

50,875

Lancaster

63,823

Lawrence

48,860

Lebanon

59,114

Lehigh

62,178

Luzerne

51,646

Lycoming

52,407

McKean

46,953

Mercer

48,768

Mifflin

47,526

Monroe

63,931

Montgomery

88,166

Montour

57,183

Northampton

67,565

Northumberland

47,063

Perry

62,266

Philadelphia

43,744

Pike

64,247

Potter

42,821

Schuylkill

49,190

Snyder

57,638

Somerset

48,224

Sullivan

47,346

Susquehanna

53,059

Tioga

50,667

Union

56,026

Venango

47,982

Warren

48,409

Washington

61,567

Wayne

54,851

Westmoreland

58,866

Wyoming

59,308

York

63,902

Value for Pennsylvania (US Dollars): $59,445

Sources: U.S. Census Bureau, American Community Survey (ACS) and Puerto Rico Community Survey (PRCS), 5-Year Estimates. The PRCS is part of the Census Bureau's ACS, customized for Puerto Rico. Both Surveys are updated every year.

Definition

Income in the Past 12 Months - Income of Households: This includes the income of the householder and all other individuals 15 years old and over in the household, whether they are related to the householder or not. Because many households consist of only one person, average household income is usually less than average family income. Although the household income statistics cover the past 12 months, the characteristics of individuals and the composition of households refer to the time of interview. Thus, the income of the household does not include amounts received by individuals who were members of the household during all or part of the past 12 months if these individuals no longer resided in the household at the time of interview. Similarly, income amounts reported by individuals who did not reside in the household during the past 12 months but who were members of the household at the time of interview are included. However, the composition of most households was the same during the past 12 months as at the time of interview.

The median divides the income distribution into two equal parts: one-half of the cases falling below the median income and one-half above the median. For households and families, the median income is based on the distribution of the total number of households and families including those with no income. The median income for individuals is based on individuals 15 years old and over with income. Median income for households, families, and individuals is computed on the basis of a standard distribution. For the complete definition, go to ACS subject definitions "Income in the Past 12 Months."

Source and Accuracy

This Fact is based on data collected in the American Community Survey (ACS) and the Puerto Rico Community Survey (PRCS) conducted annually by the U.S. Census Bureau. A sample of over 3.5 million housing unit addresses is interviewed each year over a 12 month period. This Fact (estimate) is based on five years of ACS and PRCS sample data and describes the average value of person, household and housing unit characteristics over this period of collection.

Statistics from all surveys are subject to sampling and nonsampling error. Sampling error is the uncertainty between an estimate based on a sample and the corresponding value that would be obtained if the estimate were based on the entire population (as from a census). Measures of sampling error are provided in the form of margins of error for all estimates included with ACS and PRCS published products. The Census Bureau recommends that data users incorporate this information into their analyses, as sampling error in survey estimates could impact the conclusions drawn from the results. The data for each geographic area are presented together with margins of error at Using margins of error. A more detailed explanation of margins of error and a demonstration of how to use them is provided below.

For more information on sampling and estimation methodology, confidentiality, and sampling and nonsampling errors, please see the Multiyear Accuracy (US) and the Multiyear Accuracy (Puerto Rico) documents at "Documentation - Accuracy of the data."

Margin of Error

As mentioned above, ACS estimates are based on a sample and are subject to sampling error. The margin of error measures the degree of uncertainty caused by sampling error. The margin of error is used with an ACS estimate to construct a confidence interval about the estimate. The interval is formed by adding the margin of error to the estimate (the upper bound) and subtracting the margin of error from the estimate (the lower bound). It is expected with 90 percent confidence that the interval will contain the full population value of the estimate. The following example is for demonstrating purposes only. Suppose the ACS reported that the percentage of people in a state who were 25 years and older with a bachelor's degree was 21.3 percent and that the margin of error associated with this estimate was 0.7 percent. By adding and subtracting the margin of error from the estimate, we calculate the 90-percent confidence interval for this estimate:

Therefore, we can be 90 percent confident that the percent of the population 25 years and older having a bachelor's degree in a state falls somewhere between 20.6 percent and 22.0 percent.