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
28,897
Alamosa
21,328
Arapahoe
38,972
Archuleta
31,035
Baca
23,862
Bent
14,777
Boulder
43,831
Broomfield
47,016
Chaffee
29,365
Cheyenne
25,234
Clear Creek
40,655
Conejos
19,545
Costilla
20,715
Crowley
14,988
Custer
26,976
Delta
24,886
Denver
41,196
Dolores
24,505
Douglas
51,017
Eagle
41,064
El Paso
32,348
Elbert
43,349
Fremont
21,965
Garfield
32,491
Gilpin
48,460
Grand
34,717
Gunnison
30,127
Hinsdale
34,644
Huerfano
25,636
Jackson
25,467
Jefferson
41,930
Kiowa
24,012
Kit Carson
27,471
La Plata
37,864
Lake
28,062
Larimer
35,390
Las Animas
25,118
Lincoln
16,219
Logan
25,776
Mesa
28,518
Mineral
35,229
Moffat
27,845
Montezuma
25,161
Montrose
25,803
Morgan
24,189
Otero
20,109
Ouray
36,138
Park
35,939
Phillips
29,236
Pitkin
56,180
Prowers
21,612
Pueblo
24,257
Rio Blanco
27,057
Rio Grande
22,413
Routt
40,727
Saguache
22,901
San Juan
33,984
San Miguel
45,396
Sedgwick
25,048
Summit
38,310
Teller
34,392
Washington
26,680
Weld
30,626
Yuma
25,846
Value for Colorado (US Dollars): $36,415
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.