Household Income Distribution

Income in the Past 12 Months (in 2016 Inflation-Adjusted Dollars)
Subject Households Families Married-couple Familes Nonfamily Households
Total 59,392 41,017 32,736 18,375
Less than $10,000 4.4% 3.0% 1.3% 8.8%
$10,000 to $14,999 4.4% 2.3% 1.4% 9.0%
$15,000 to $24,999 9.5% 5.9% 3.3% 18.1%
$25,000 to $34,999 10.5% 8.4% 7.0% 16.4%
$35,000 to 49,999 15.7% 15.5% 14.2% 17.0%
$50,000 to $74,999 20.9% 21.7% 22.3% 18.4%
$75,000 to $99,999 14.1% 16.7% 18.9% 6.9%
$100,000 to $149,999 14.4% 18.3% 21.8% 4.2%
$150,000 to $199,999 3.8% 5.2% 6.0% 0.7%
$200,000 or more 2.4% 3.0% 3.7% 0.6%
U.S. Census Bureau, 2012-2016 American Community Survey 5-Year Estimates
Median/Mean Income in the Past 12 Months
Subject Households Families Married-couple Familes Nonfamily Households
Median Income (dollars) 55,751 67,124 75,664 32,986
Mean Income (dollars) 69,480 80,025 88,701 42,424
* An 'N' entry indicates that data for this geographic area cannot be displayed because the number of sample cases is too small
Source: U.S. Census Bureau, 2016

Website Updated December 11 2017 Site Reviewed January 05 2018

Household Income Distribution

Data 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 margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

In data year 2013, there were a series of changes to data collection operations that could have affected some estimates. These changes include the addition of Internet as a mode of data collection, the end of the content portion of Failed Edit Follow-Up interviewing, and the loss of one monthly panel due to the Federal Government shut down in October 2013.

While the 2013 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.