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
43,280
Ashland
43,861
Barron
50,903
Bayfield
52,910
Brown
59,963
Buffalo
57,134
Burnett
49,982
Calumet
72,530
Chippewa
57,288
Clark
51,872
Columbia
65,348
Crawford
48,853
Dane
70,541
Dodge
58,870
Door
58,287
Douglas
52,480
Dunn
56,268
Eau Claire
55,711
Florence
49,128
Fond du Lac
59,373
Forest
44,313
Grant
52,958
Green
62,699
Green Lake
53,260
Iowa
62,785
Iron
40,801
Jackson
52,984
Jefferson
63,676
Juneau
51,056
Kenosha
60,929
Kewaunee
63,118
La Crosse
55,479
Lafayette
59,629
Langlade
46,557
Lincoln
56,086
Manitowoc
53,489
Marathon
59,543
Marinette
47,497
Marquette
49,586
Menominee
43,872
Milwaukee
48,742
Monroe
58,178
Oconto
57,105
Oneida
54,198
Outagamie
63,536
Ozaukee
82,807
Pepin
53,140
Pierce
72,111
Polk
56,932
Portage
57,368
Price
46,742
Racine
59,749
Richland
51,335
Rock
55,832
Rusk
44,302
Sauk
56,732
Sawyer
44,555
Shawano
54,143
Sheboygan
58,943
St. Croix
81,124
Taylor
51,698
Trempealeau
55,865
Vernon
50,905
Vilas
44,285
Walworth
61,106
Washburn
48,422
Washington
74,062
Waukesha
84,331
Waupaca
57,680
Waushara
51,195
Winnebago
57,124
Wood
53,473
Value for Wisconsin (US Dollars): $59,209
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.
