Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Malheur County, OR
Series ID MHICIUBOR41045A052NCEN
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 22720
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25936
1994-01-01 .
1995-01-01 29383
1996-01-01 .
1997-01-01 31275
1998-01-01 32609
1999-01-01 31298
2000-01-01 33139
2001-01-01 31632
2002-01-01 30995
2003-01-01 31490
2004-01-01 32305
2005-01-01 34689
2006-01-01 37185
2007-01-01 39325
2008-01-01 39528
2009-01-01 38756
2010-01-01 35349
2011-01-01 38766
2012-01-01 36835
2013-01-01 37634
2014-01-01 38570
2015-01-01 41123
2016-01-01 42044
2017-01-01 45605
2018-01-01 45980
2019-01-01 46356
2020-01-01 52540
2021-01-01 55212
2022-01-01 54542

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