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
Arkansas
39,466
Ashley
39,635
Baxter
41,481
Benton
64,141
Boone
43,262
Bradley
39,510
Calhoun
44,022
Carroll
43,505
Chicot
33,051
Clark
39,752
Clay
33,935
Cleburne
43,391
Cleveland
42,460
Columbia
36,148
Conway
41,196
Craighead
45,868
Crawford
46,619
Crittenden
39,002
Cross
43,838
Dallas
36,628
Desha
30,234
Drew
43,014
Faulkner
51,930
Franklin
39,463
Fulton
36,184
Garland
43,146
Grant
51,920
Greene
47,497
Hempstead
41,355
Hot Spring
41,262
Howard
35,900
Independence
43,523
Izard
40,218
Jackson
33,174
Jefferson
38,289
Johnson
37,170
Lafayette
32,412
Lawrence
38,528
Lee
28,367
Lincoln
45,166
Little River
45,388
Logan
39,748
Lonoke
57,509
Madison
43,891
Marion
35,518
Miller
41,903
Mississippi
37,237
Monroe
35,190
Montgomery
37,855
Nevada
37,635
Newton
39,896
Ouachita
34,887
Perry
46,071
Phillips
29,263
Pike
37,406
Poinsett
39,277
Polk
37,035
Pope
41,914
Prairie
41,846
Pulaski
50,093
Randolph
36,870
Saline
62,152
Scott
35,509
Searcy
36,390
Sebastian
43,240
Sevier
46,667
Sharp
33,708
St. Francis
35,356
Stone
36,162
Union
44,000
Van Buren
36,897
Washington
49,629
White
43,822
Woodruff
31,023
Yell
42,361
Value for Arkansas (US Dollars): $45,726
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.
