Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Benton County, OR

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Benton County, OR
Series ID MHICILBOR41003A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:53 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 27142
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32139
1994-01-01 .
1995-01-01 35338
1996-01-01 .
1997-01-01 40440
1998-01-01 42056
1999-01-01 40262
2000-01-01 40792
2001-01-01 40814
2002-01-01 40619
2003-01-01 40904
2004-01-01 42396
2005-01-01 42583
2006-01-01 45065
2007-01-01 45373
2008-01-01 51056
2009-01-01 44044
2010-01-01 45291
2011-01-01 43068
2012-01-01 47951
2013-01-01 46994
2014-01-01 49559
2015-01-01 50489
2016-01-01 52956
2017-01-01 56692
2018-01-01 58874
2019-01-01 64512
2020-01-01 60193
2021-01-01 60665
2022-01-01 65220

Subscribe to the FRED newsletter


Follow us

Back to Top