Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Yamhill County, OR
Series ID MHICIUBOR41071A052NCEN
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 1:09 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 28986
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35473
1994-01-01 .
1995-01-01 40721
1996-01-01 .
1997-01-01 43256
1998-01-01 44921
1999-01-01 45551
2000-01-01 48506
2001-01-01 46538
2002-01-01 46459
2003-01-01 46436
2004-01-01 48382
2005-01-01 50230
2006-01-01 51811
2007-01-01 54767
2008-01-01 58030
2009-01-01 55532
2010-01-01 52808
2011-01-01 56046
2012-01-01 53405
2013-01-01 59815
2014-01-01 56400
2015-01-01 56338
2016-01-01 64301
2017-01-01 67799
2018-01-01 65806
2019-01-01 75637
2020-01-01 76703
2021-01-01 81900
2022-01-01 85294

Subscribe to the FRED newsletter


Follow us

Back to Top