Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wallowa County, OR
Series ID MHICILBOR41063A052NCEN
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 1:11 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 20721
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24389
1994-01-01 .
1995-01-01 24478
1996-01-01 .
1997-01-01 27237
1998-01-01 27235
1999-01-01 29702
2000-01-01 30816
2001-01-01 30306
2002-01-01 30771
2003-01-01 31047
2004-01-01 32643
2005-01-01 32859
2006-01-01 35231
2007-01-01 34817
2008-01-01 38994
2009-01-01 34763
2010-01-01 35190
2011-01-01 34917
2012-01-01 36854
2013-01-01 39951
2014-01-01 35852
2015-01-01 39481
2016-01-01 41681
2017-01-01 43117
2018-01-01 42884
2019-01-01 46336
2020-01-01 44144
2021-01-01 52453
2022-01-01 54744

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