Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Morrow County, OR
Series ID MHICILBOR41049A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 20556
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27794
1994-01-01 .
1995-01-01 27579
1996-01-01 .
1997-01-01 29886
1998-01-01 31299
1999-01-01 33969
2000-01-01 35559
2001-01-01 34765
2002-01-01 35803
2003-01-01 37927
2004-01-01 40950
2005-01-01 40317
2006-01-01 38649
2007-01-01 41965
2008-01-01 45116
2009-01-01 41785
2010-01-01 41612
2011-01-01 42379
2012-01-01 47167
2013-01-01 47500
2014-01-01 46569
2015-01-01 49245
2016-01-01 48063
2017-01-01 48070
2018-01-01 49646
2019-01-01 53316
2020-01-01 50812
2021-01-01 59468
2022-01-01 59738
2023-01-01 74586

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