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
Autauga
58,786
Baldwin
55,962
Barbour
34,186
Bibb
45,340
Blount
48,695
Bullock
32,152
Butler
39,109
Calhoun
45,197
Chambers
39,872
Cherokee
41,014
Chilton
45,182
Choctaw
34,884
Clarke
36,127
Clay
41,225
Cleburne
40,188
Coffee
53,155
Colbert
47,558
Conecuh
33,177
Coosa
38,301
Covington
40,601
Crenshaw
39,812
Cullman
42,558
Dale
45,960
Dallas
31,602
DeKalb
39,233
Elmore
59,347
Escambia
35,000
Etowah
44,023
Fayette
37,458
Franklin
40,459
Geneva
38,142
Greene
21,804
Hale
30,571
Henry
48,610
Houston
45,496
Jackson
39,816
Jefferson
51,979
Lamar
36,756
Lauderdale
46,265
Lawrence
44,515
Lee
48,056
Limestone
56,460
Lowndes
30,833
Macon
32,074
Madison
63,417
Marengo
32,809
Marion
35,392
Marshall
42,490
Mobile
46,166
Monroe
30,141
Montgomery
47,990
Morgan
49,751
Perry
23,561
Pickens
37,458
Pike
34,678
Randolph
41,449
Russell
40,978
Shelby
75,761
St. Clair
54,887
Sumter
23,132
Talladega
41,012
Tallapoosa
43,361
Tuscaloosa
52,221
Walker
41,748
Washington
40,794
Wilcox
27,237
Winston
38,504
Value for Alabama (US Dollars): $48,486
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.
