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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Union County, OR
Series ID MHICILBOR41061A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:07 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 22411
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26068
1994-01-01 .
1995-01-01 27392
1996-01-01 .
1997-01-01 29800
1998-01-01 30638
1999-01-01 31708
2000-01-01 32606
2001-01-01 31966
2002-01-01 32493
2003-01-01 33521
2004-01-01 34812
2005-01-01 34563
2006-01-01 39244
2007-01-01 36502
2008-01-01 38143
2009-01-01 36522
2010-01-01 39075
2011-01-01 38629
2012-01-01 38133
2013-01-01 38707
2014-01-01 41885
2015-01-01 42359
2016-01-01 42726
2017-01-01 43026
2018-01-01 45506
2019-01-01 50228
2020-01-01 53174
2021-01-01 48177
2022-01-01 51203
2023-01-01 56806
2024-01-01 60503

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