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
Adair
32,986
Alfalfa
59,569
Atoka
38,821
Beaver
51,996
Beckham
48,725
Blaine
50,391
Bryan
43,245
Caddo
44,588
Canadian
71,157
Carter
49,216
Cherokee
40,936
Choctaw
32,129
Cimarron
46,071
Cleveland
62,863
Coal
40,000
Comanche
52,227
Cotton
51,623
Craig
41,701
Creek
49,578
Custer
48,884
Delaware
39,742
Dewey
50,037
Ellis
52,705
Garfield
51,332
Garvin
45,066
Grady
58,177
Grant
56,287
Greer
38,322
Harmon
41,607
Harper
50,114
Haskell
39,375
Hughes
39,265
Jackson
45,757
Jefferson
37,319
Johnston
40,077
Kay
45,426
Kingfisher
60,656
Kiowa
38,209
Latimer
42,363
Le Flore
39,769
Lincoln
49,362
Logan
62,035
Love
52,007
Major
54,118
Marshall
45,828
Mayes
48,853
McClain
64,492
McCurtain
35,829
McIntosh
37,086
Murray
51,490
Muskogee
42,689
Noble
53,253
Nowata
41,895
Okfuskee
38,527
Oklahoma
52,855
Okmulgee
42,175
Osage
47,789
Ottawa
39,070
Pawnee
47,413
Payne
40,944
Pittsburg
45,346
Pontotoc
49,235
Pottawatomie
47,683
Pushmataha
37,457
Roger Mills
47,667
Rogers
62,949
Seminole
38,706
Sequoyah
38,328
Stephens
46,166
Texas
50,450
Tillman
40,462
Tulsa
53,902
Wagoner
61,566
Washington
52,103
Washita
52,510
Woods
56,899
Woodward
58,706
Value for Oklahoma (US Dollars): $51,424
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.
