Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Douglas County, OR
Series ID MHICILBOR41019A052NCEN
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 22454
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24806
1994-01-01 .
1995-01-01 26673
1996-01-01 .
1997-01-01 28914
1998-01-01 30122
1999-01-01 30838
2000-01-01 31739
2001-01-01 30917
2002-01-01 31491
2003-01-01 32395
2004-01-01 33842
2005-01-01 34537
2006-01-01 35972
2007-01-01 36735
2008-01-01 37719
2009-01-01 36755
2010-01-01 34752
2011-01-01 35681
2012-01-01 37108
2013-01-01 38096
2014-01-01 39033
2015-01-01 38842
2016-01-01 40405
2017-01-01 44442
2018-01-01 44243
2019-01-01 45891
2020-01-01 47436
2021-01-01 48397
2022-01-01 51082

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