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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dyer County, TN
Series ID MHICILBTN47045A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:07 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 20887
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24637
1994-01-01 .
1995-01-01 26065
1996-01-01 .
1997-01-01 28005
1998-01-01 29507
1999-01-01 30457
2000-01-01 31296
2001-01-01 30727
2002-01-01 31102
2003-01-01 32258
2004-01-01 33287
2005-01-01 33310
2006-01-01 33690
2007-01-01 34682
2008-01-01 36041
2009-01-01 33457
2010-01-01 33592
2011-01-01 34474
2012-01-01 34974
2013-01-01 36873
2014-01-01 39746
2015-01-01 39774
2016-01-01 36628
2017-01-01 40474
2018-01-01 40030
2019-01-01 44223
2020-01-01 45712
2021-01-01 46656
2022-01-01 48924
2023-01-01 52426
2024-01-01 58659

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