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.
Median household income (in 2018 dollars), 2014-2018 - (US Dollars)
County
Value
Alachua
49,078
Baker
61,769
Bay
51,829
Bradford
46,197
Brevard
54,359
Broward
57,333
Calhoun
38,609
Charlotte
49,225
Citrus
41,424
Clay
62,653
Collier
65,675
Columbia
44,491
DeSoto
35,057
Dixie
38,237
Duval
53,473
Escambia
49,286
Flagler
53,872
Franklin
42,855
Gadsden
40,922
Gilchrist
42,357
Glades
39,879
Gulf
44,291
Hamilton
34,583
Hardee
37,594
Hendry
40,728
Hernando
46,030
Highlands
37,314
Hillsborough
56,137
Holmes
38,608
Indian River
52,336
Jackson
39,002
Jefferson
48,173
Lafayette
39,543
Lake
51,884
Lee
54,691
Leon
51,201
Levy
37,634
Liberty
37,363
Madison
35,509
Manatee
56,036
Marion
43,361
Martin
57,959
Monroe
67,023
Nassau
66,297
Okaloosa
62,048
Okeechobee
40,367
Orange
54,335
Osceola
50,063
Palm Beach
59,943
Pasco
50,417
Pinellas
51,454
Polk
48,500
Putnam
35,649
Santa Rosa
66,242
Sarasota
58,644
Seminole
63,760
St. Johns
77,323
St. Lucie
49,373
Sumter
55,228
Suwannee
42,686
Taylor
36,934
Union
41,770
Volusia
46,760
Wakulla
62,778
Walton
53,785
Washington
37,188
Value for Florida (US Dollars): $53,267
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
Income in the Past 12 Months - Income of Households: This includes the income of the householder and all other individuals 15 years old and over in the household, whether they are related to the householder or not. Because many households consist of only one person, average household income is usually less than average family income. Although the household income statistics cover the past 12 months, the characteristics of individuals and the composition of households refer to the time of interview. Thus, the income of the household does not include amounts received by individuals who were members of the household during all or part of the past 12 months if these individuals no longer resided in the household at the time of interview. Similarly, income amounts reported by individuals who did not reside in the household during the past 12 months but who were members of the household at the time of interview are included. However, the composition of most households was the same during the past 12 months as at the time of interview.
The median divides the income distribution into two equal parts: one-half of the cases falling below the median income and one-half above the median. For households and families, the median income is based on the distribution of the total number of households and families including those with no income. The median income for individuals is based on individuals 15 years old and over with income. Median income for households, families, and individuals is computed on the basis of a standard distribution. For the complete definition, go to ACS subject definitions "Income in the Past 12 Months."
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.
