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
Aitkin
27,646
Anoka
35,806
Becker
29,710
Beltrami
24,781
Benton
28,566
Big Stone
30,489
Blue Earth
28,824
Brown
30,373
Carlton
28,117
Carver
45,637
Cass
29,053
Chippewa
30,168
Chisago
33,927
Clay
29,631
Clearwater
26,173
Cook
32,703
Cottonwood
27,209
Crow Wing
30,900
Dakota
40,441
Dodge
32,795
Douglas
34,547
Faribault
29,748
Fillmore
29,440
Freeborn
28,459
Goodhue
33,400
Grant
31,940
Hennepin
43,976
Houston
31,453
Hubbard
29,312
Isanti
32,008
Itasca
28,636
Jackson
33,358
Kanabec
27,331
Kandiyohi
30,217
Kittson
29,946
Koochiching
29,051
Lac qui Parle
31,686
Lake
33,602
Lake of the Woods
26,526
Le Sueur
32,120
Lincoln
28,504
Lyon
30,531
Mahnomen
20,953
Marshall
29,670
Martin
31,091
McLeod
31,723
Meeker
31,819
Mille Lacs
26,679
Morrison
28,792
Mower
29,116
Murray
31,768
Nicollet
31,225
Nobles
25,554
Norman
28,351
Olmsted
39,667
Otter Tail
30,846
Pennington
30,625
Pine
25,302
Pipestone
29,716
Polk
28,856
Pope
32,943
Ramsey
34,049
Red Lake
29,731
Redwood
28,011
Renville
31,585
Rice
29,767
Rock
30,544
Roseau
28,049
Scott
39,952
Sherburne
34,013
Sibley
30,977
St. Louis
30,321
Stearns
29,815
Steele
30,822
Stevens
31,694
Swift
30,208
Todd
25,848
Traverse
30,553
Wabasha
33,664
Wadena
24,864
Waseca
28,067
Washington
43,789
Watonwan
27,772
Wilkin
32,066
Winona
28,689
Wright
34,325
Yellow Medicine
29,379
Value for Minnesota (US Dollars): $36,245
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.