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
29,203
Alcorn
40,180
Amite
31,854
Attala
34,756
Benton
35,974
Bolivar
29,912
Calhoun
36,440
Carroll
43,060
Chickasaw
35,939
Choctaw
37,203
Claiborne
26,732
Clarke
39,246
Clay
35,121
Coahoma
30,009
Copiah
40,361
Covington
35,931
DeSoto
65,169
Forrest
40,675
Franklin
40,810
George
48,319
Greene
49,447
Grenada
36,877
Hancock
47,543
Harrison
45,566
Hinds
43,005
Holmes
21,093
Humphreys
28,507
Issaquena
25,776
Itawamba
40,510
Jackson
51,142
Jasper
35,931
Jefferson
20,188
Jefferson Davis
30,083
Jones
41,263
Kemper
28,176
Lafayette
47,132
Lamar
58,188
Lauderdale
41,704
Lawrence
42,290
Leake
33,482
Lee
47,978
Leflore
26,052
Lincoln
40,355
Lowndes
45,355
Madison
71,690
Marion
31,446
Marshall
41,572
Monroe
40,940
Montgomery
33,667
Neshoba
36,875
Newton
33,831
Noxubee
36,000
Oktibbeha
38,800
Panola
36,563
Pearl River
45,820
Perry
39,007
Pike
30,910
Pontotoc
41,379
Prentiss
37,519
Quitman
25,510
Rankin
64,557
Scott
33,735
Sharkey
28,799
Simpson
37,946
Smith
41,657
Stone
44,883
Sunflower
30,029
Tallahatchie
30,028
Tate
51,056
Tippah
39,839
Tishomingo
37,312
Tunica
37,822
Union
41,287
Walthall
29,804
Warren
43,039
Washington
30,834
Wayne
37,970
Webster
40,683
Wilkinson
26,599
Winston
36,214
Yalobusha
41,864
Yazoo
31,402
Value for Mississippi (US Dollars): $43,567
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.
