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
Arkansas
24,714
Ashley
22,052
Baxter
26,004
Benton
32,624
Boone
23,998
Bradley
22,411
Calhoun
24,509
Carroll
24,185
Chicot
21,843
Clark
21,571
Clay
20,353
Cleburne
26,620
Cleveland
23,538
Columbia
21,372
Conway
23,750
Craighead
26,432
Crawford
23,851
Crittenden
21,882
Cross
24,486
Dallas
19,401
Desha
18,475
Drew
23,005
Faulkner
26,163
Franklin
20,262
Fulton
19,413
Garland
26,791
Grant
25,907
Greene
22,874
Hempstead
20,168
Hot Spring
21,064
Howard
24,590
Independence
23,426
Izard
20,501
Jackson
19,848
Jefferson
20,925
Johnson
19,681
Lafayette
26,005
Lawrence
20,451
Lee
15,771
Lincoln
13,636
Little River
26,216
Logan
22,221
Lonoke
26,222
Madison
23,875
Marion
19,710
Miller
22,938
Mississippi
20,879
Monroe
22,274
Montgomery
22,347
Nevada
18,618
Newton
18,907
Ouachita
21,520
Perry
21,699
Phillips
18,402
Pike
21,919
Poinsett
19,413
Polk
20,176
Pope
22,110
Prairie
24,075
Pulaski
31,359
Randolph
21,338
Saline
29,358
Scott
17,375
Searcy
20,709
Sebastian
25,084
Sevier
20,627
Sharp
20,721
St. Francis
17,491
Stone
20,496
Union
24,522
Van Buren
21,622
Washington
27,823
White
23,747
Woodruff
21,276
Yell
21,584
Value for Arkansas (US Dollars): $25,635
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.