Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wallowa County, OR
Series ID MHICIUBOR41063A052NCEN
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 25213
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28987
1994-01-01 .
1995-01-01 30632
1996-01-01 .
1997-01-01 33469
1998-01-01 33472
1999-01-01 33866
2000-01-01 35891
2001-01-01 34759
2002-01-01 35323
2003-01-01 35250
2004-01-01 37035
2005-01-01 39256
2006-01-01 41379
2007-01-01 42537
2008-01-01 46124
2009-01-01 41654
2010-01-01 41854
2011-01-01 42055
2012-01-01 44254
2013-01-01 45551
2014-01-01 43634
2015-01-01 48609
2016-01-01 51019
2017-01-01 52527
2018-01-01 53390
2019-01-01 57876
2020-01-01 58868
2021-01-01 64169
2022-01-01 68552

Subscribe to the FRED newsletter


Follow us

Back to Top