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.
Per capita income in past 12 months (in 2018 dollars), 2014-2018 - (US Dollars)
County
Value
Adams
17,851
Alcorn
21,321
Amite
20,380
Attala
20,936
Benton
20,363
Bolivar
17,713
Calhoun
19,099
Carroll
22,567
Chickasaw
19,556
Choctaw
20,589
Claiborne
13,503
Clarke
22,422
Clay
21,076
Coahoma
17,518
Copiah
19,434
Covington
18,353
DeSoto
29,190
Forrest
22,042
Franklin
22,769
George
21,105
Greene
17,453
Grenada
21,668
Hancock
26,659
Harrison
24,445
Hinds
23,114
Holmes
13,924
Humphreys
16,604
Issaquena
18,942
Itawamba
20,629
Jackson
25,341
Jasper
21,929
Jefferson
13,374
Jefferson Davis
19,233
Jones
22,836
Kemper
15,518
Lafayette
26,154
Lamar
28,934
Lauderdale
23,741
Lawrence
21,809
Leake
17,960
Lee
25,467
Leflore
16,861
Lincoln
21,892
Lowndes
24,499
Madison
38,496
Marion
18,687
Marshall
21,352
Monroe
23,158
Montgomery
22,913
Neshoba
19,641
Newton
21,600
Noxubee
17,637
Oktibbeha
22,136
Panola
19,972
Pearl River
23,135
Perry
21,611
Pike
17,954
Pontotoc
20,401
Prentiss
19,693
Quitman
15,353
Rankin
29,874
Scott
21,640
Sharkey
17,877
Simpson
20,495
Smith
23,164
Stone
21,931
Sunflower
15,464
Tallahatchie
14,943
Tate
23,542
Tippah
20,180
Tishomingo
20,037
Tunica
19,115
Union
20,088
Walthall
20,337
Warren
23,793
Washington
19,884
Wayne
22,611
Webster
21,109
Wilkinson
13,231
Winston
24,538
Yalobusha
21,140
Yazoo
18,866
Value for Mississippi (US Dollars): $23,434
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
Per capita income is the mean income computed for every man, woman, and child in a particular group including those living in group quarters. It is derived by dividing the aggregate income of a particular group by the total population in that group. This measure is rounded to the nearest whole dollar. For the complete definition, go to ACS subject definitions "Income in the Past 12 Months, Per Capita Income."
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.