Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Multnomah County, OR
Series ID MHICIUBOR41051A052NCEN
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 2:31 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 28645
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31672
1994-01-01 .
1995-01-01 37369
1996-01-01 .
1997-01-01 40763
1998-01-01 42608
1999-01-01 43028
2000-01-01 45895
2001-01-01 44941
2002-01-01 44017
2003-01-01 44056
2004-01-01 44661
2005-01-01 44706
2006-01-01 46614
2007-01-01 50361
2008-01-01 52309
2009-01-01 51820
2010-01-01 49425
2011-01-01 48433
2012-01-01 52965
2013-01-01 55461
2014-01-01 55338
2015-01-01 60611
2016-01-01 63829
2017-01-01 65936
2018-01-01 72357
2019-01-01 74661
2020-01-01 77493
2021-01-01 80022
2022-01-01 83204
2023-01-01 85922

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