Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Yamhill County, OR
Series ID MHICILBOR41071A052NCEN
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 24597
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31073
1994-01-01 .
1995-01-01 34724
1996-01-01 .
1997-01-01 37231
1998-01-01 38986
1999-01-01 40071
2000-01-01 41947
2001-01-01 40720
2002-01-01 40635
2003-01-01 41055
2004-01-01 42731
2005-01-01 43726
2006-01-01 45944
2007-01-01 48690
2008-01-01 51707
2009-01-01 47820
2010-01-01 47768
2011-01-01 48160
2012-01-01 45907
2013-01-01 55039
2014-01-01 49406
2015-01-01 49274
2016-01-01 56985
2017-01-01 57719
2018-01-01 57746
2019-01-01 67993
2020-01-01 59829
2021-01-01 68706
2022-01-01 70644

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