Nebraska Median household income, 2009-2013 by County

Data Item State
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Median household income, 2009-2013 - (US Dollars)
County Value
Adams 49,440
Antelope 43,518
Arthur 40,568
Banner 36,875
Blaine 42,917
Boone 45,246
Box Butte 46,373
Boyd 41,279
Brown 33,647
Buffalo 50,963
Burt 46,817
Butler 50,247
Cass 64,697
Cedar 48,038
Chase 45,610
Cherry 45,464
Cheyenne 51,529
Clay 46,784
Colfax 51,765
Cuming 47,500
Custer 44,873
Dakota 47,069
Dawes 40,359
Dawson 46,078
Deuel 44,922
Dixon 47,325
Dodge 48,626
Douglas 53,325
Dundy 47,431
Fillmore 48,464
Franklin 43,011
Frontier 50,227
Furnas 39,603
Gage 47,654
Garden 39,400
Garfield 41,892
Gosper 45,893
Grant 44,167
Greeley 44,950
Hall 48,712
Hamilton 56,065
Harlan 45,920
Hayes 49,125
Hitchcock 39,702
Holt 44,427
Hooker 39,327
Howard 49,088
Jefferson 44,843
Johnson 42,364
Kearney 56,466
Keith 41,970
Keya Paha 36,923
Kimball 42,180
Knox 42,230
Lancaster 51,574
Lincoln 48,158
Logan 44,417
Loup 38,125
Madison 46,566
McPherson 54,926
Merrick 50,859
Morrill 43,886
Nance 44,286
Nemaha 42,672
Nuckolls 37,594
Otoe 50,881
Pawnee 37,321
Perkins 58,625
Phelps 50,000
Pierce 51,924
Platte 51,213
Polk 52,848
Red Willow 42,345
Richardson 38,582
Rock 43,500
Saline 44,109
Sarpy 69,965
Saunders 59,870
Scotts Bluff 43,444
Seward 59,435
Sheridan 38,548
Sherman 41,835
Sioux 42,014
Stanton 51,493
Thayer 44,422
Thomas 55,089
Thurston 41,400
Valley 40,445
Washington 65,409
Wayne 52,147
Webster 41,045
Wheeler 38,807
York 49,633

Value for Nebraska (US Dollars): $51,672

Source: U. S. Census Bureau, American Community Survey, 5-Year Estimates. Updated every year.


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 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: