Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington County, OR
Series ID MHICILBOR41067A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 34026
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 40210
1994-01-01 .
1995-01-01 44117
1996-01-01 .
1997-01-01 46978
1998-01-01 49021
1999-01-01 48957
2000-01-01 51669
2001-01-01 51245
2002-01-01 50704
2003-01-01 51207
2004-01-01 52836
2005-01-01 52035
2006-01-01 57778
2007-01-01 59951
2008-01-01 63931
2009-01-01 59298
2010-01-01 58759
2011-01-01 60835
2012-01-01 61087
2013-01-01 60885
2014-01-01 63653
2015-01-01 68763
2016-01-01 74112
2017-01-01 79238
2018-01-01 80086
2019-01-01 82639
2020-01-01 82145
2021-01-01 88385
2022-01-01 95599
2023-01-01 100793

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