Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Multnomah County, OR
Series ID MHICILBOR41051A052NCEN
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 2:32 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 24901
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27836
1994-01-01 .
1995-01-01 32549
1996-01-01 .
1997-01-01 35674
1998-01-01 37453
1999-01-01 38324
2000-01-01 40575
2001-01-01 40045
2002-01-01 39227
2003-01-01 39623
2004-01-01 40127
2005-01-01 41404
2006-01-01 44470
2007-01-01 47390
2008-01-01 50435
2009-01-01 49388
2010-01-01 46611
2011-01-01 45545
2012-01-01 50195
2013-01-01 51787
2014-01-01 51700
2015-01-01 56917
2016-01-01 60755
2017-01-01 61238
2018-01-01 69155
2019-01-01 70277
2020-01-01 71921
2021-01-01 75680
2022-01-01 75660
2023-01-01 80658

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