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
Alachua
27,896
Baker
24,070
Bay
28,017
Bradford
20,481
Brevard
30,987
Broward
31,464
Calhoun
18,921
Charlotte
30,528
Citrus
25,983
Clay
29,138
Collier
43,256
Columbia
23,901
DeSoto
18,311
Dixie
20,527
Duval
30,012
Escambia
26,730
Flagler
27,689
Franklin
25,037
Gadsden
20,158
Gilchrist
21,379
Glades
21,020
Gulf
21,255
Hamilton
15,097
Hardee
18,257
Hendry
18,900
Hernando
24,551
Highlands
23,722
Hillsborough
31,173
Holmes
18,574
Indian River
35,172
Jackson
18,882
Jefferson
23,448
Lafayette
19,870
Lake
27,052
Lee
31,924
Leon
29,754
Levy
22,025
Liberty
17,197
Madison
19,223
Manatee
32,070
Marion
24,570
Martin
40,389
Monroe
43,477
Nassau
35,335
Okaloosa
31,901
Okeechobee
19,943
Orange
28,859
Osceola
21,331
Palm Beach
37,998
Pasco
27,786
Pinellas
33,478
Polk
23,812
Putnam
19,976
Santa Rosa
30,904
Sarasota
39,364
Seminole
33,419
St. Johns
41,393
St. Lucie
25,736
Sumter
33,629
Suwannee
21,755
Taylor
16,919
Union
15,475
Volusia
27,272
Wakulla
24,322
Walton
33,731
Washington
18,112
Value for Florida (US Dollars): $30,197
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.