Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Malheur County, OR
Series ID MHICILBOR41045A052NCEN
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 18199
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21425
1994-01-01 .
1995-01-01 23249
1996-01-01 .
1997-01-01 25117
1998-01-01 26544
1999-01-01 27477
2000-01-01 28504
2001-01-01 27477
2002-01-01 26929
2003-01-01 27692
2004-01-01 28423
2005-01-01 29383
2006-01-01 31838
2007-01-01 32876
2008-01-01 33278
2009-01-01 32820
2010-01-01 29475
2011-01-01 33312
2012-01-01 31153
2013-01-01 31496
2014-01-01 31618
2015-01-01 34085
2016-01-01 34216
2017-01-01 37967
2018-01-01 39268
2019-01-01 37682
2020-01-01 40016
2021-01-01 47720
2022-01-01 44218

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