Kansas Median household income, 2009-2013 by County

Data Item State
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Median household income, 2009-2013 - (US Dollars)
County Value
Allen 40,554
Anderson 41,713
Atchison 45,212
Barber 45,920
Barton 44,981
Bourbon 39,591
Brown 39,968
Butler 56,454
Chase 36,815
Chautauqua 39,529
Cherokee 39,746
Cheyenne 37,875
Clark 41,129
Clay 45,233
Cloud 38,534
Coffey 51,793
Comanche 39,375
Cowley 41,878
Crawford 37,378
Decatur 39,333
Dickinson 48,890
Doniphan 46,512
Douglas 49,508
Edwards 46,551
Elk 34,089
Ellis 43,085
Ellsworth 45,865
Finney 47,945
Ford 51,178
Franklin 49,543
Geary 46,908
Gove 44,866
Graham 47,500
Grant 53,213
Gray 57,808
Greeley 52,847
Greenwood 38,346
Hamilton 43,357
Harper 38,313
Harvey 50,287
Haskell 52,415
Hodgeman 52,375
Jackson 54,546
Jefferson 56,875
Jewell 39,884
Johnson 74,717
Kearny 52,264
Kingman 47,466
Kiowa 44,650
Labette 40,916
Lane 53,021
Leavenworth 63,435
Lincoln 40,811
Linn 45,519
Logan 41,765
Lyon 38,981
Marion 45,830
Marshall 44,032
McPherson 54,167
Meade 51,000
Miami 58,936
Mitchell 46,667
Montgomery 39,669
Morris 47,445
Morton 46,607
Nemaha 47,122
Neosho 42,071
Ness 48,800
Norton 46,029
Osage 50,205
Osborne 37,925
Ottawa 58,396
Pawnee 44,078
Phillips 43,059
Pottawatomie 56,854
Pratt 46,035
Rawlins 43,482
Reno 43,798
Republic 39,572
Rice 45,336
Riley 43,962
Rooks 42,449
Rush 42,610
Russell 37,111
Saline 47,215
Scott 50,605
Sedgwick 49,865
Seward 50,185
Shawnee 48,451
Sheridan 48,674
Sherman 38,634
Smith 45,556
Stafford 43,292
Stanton 46,382
Stevens 54,494
Sumner 47,894
Thomas 48,187
Trego 45,714
Wabaunsee 54,694
Wallace 47,454
Washington 42,515
Wichita 53,018
Wilson 38,917
Woodson 33,839
Wyandotte 39,402

Value for Kansas (US Dollars): $51,332

Source: U. S. Census Bureau, American Community Survey, 5-Year Estimates. Updated every year. http://factfinder2.census.gov


Median household income

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.

Scope and Methodology:

These data are collected in the American Community Survey (ACS). The data for each geographic area are presented together with margins of error at factfinder2.census.gov. The data are period estimates, that is, they represent the characteristics of the population over a specific 60-month data collection period.

Since answers to income questions are frequently based on memory and not on records, many people tended to forget minor or sporadic sources of income and, therefore, underreport their income. Underreporting tends to be more pronounced for income sources that are not derived from earnings, such as public assistance, interest, dividends, and net rental income.

Margins of Error (MOE). ACS estimates are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a MOE. The MOE used with ACS estimates can be interpreted as providing a 90 percent probability that the interval defined by the estimate plus the MOE and the estimate minus the MOE (the upper and lower confidence bounds) contains the full population value of the estimate.

For example, suppose the 5-year ACS reported the percentage of people 25 years and older in Birmingham, Alabama who had a bachelor's degree was 21.3 percent and that the MOE associated with this estimate is plus or minus (+/-) 0.9 percent. By adding and subtracting the MOE from the estimate, we can calculate the 90-percent confidence interval for this estimate at 21.3%, +/-0.9%:

21.3% - 0.9% = 20.4% = Lower-bound estimate
21.3% + 0.9% = 22.2% = Upper-bound estimate

Therefore, we can be 90 percent confident that the percent of the population in Birmingham, Alabama of age 25 years and older having a bachelor's degree in 2007-2011 falls somewhere between 20.4 percent and 22.2 percent.

For this Fact and other 5-year Economic Characteristic Facts (listed below), their estimates and margins of error or percents and percent margins of errors can be found on Data Profile - Economic Characteristics. This profile is displayed by geography. Click on the link for "Browse for Data sets (geography picked)" near the top of the Quick facts profile page, click on the link for People QuickLinks/American Community Survey - "Economic Characteristics" for the data profile.

Mean travel time to work (minutes), workers age 16 and over;
Per capita money income in the past 12 months,
Median household income,
Persons below poverty level, percent

More Information: