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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bedford County, TN
Series ID MHICIUBTN47003A052NCEN
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 7:03 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 26040
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29804
1994-01-01 .
1995-01-01 33287
1996-01-01 .
1997-01-01 35419
1998-01-01 36609
1999-01-01 37198
2000-01-01 39599
2001-01-01 38609
2002-01-01 38747
2003-01-01 39875
2004-01-01 41218
2005-01-01 41443
2006-01-01 42775
2007-01-01 42405
2008-01-01 42056
2009-01-01 42638
2010-01-01 42408
2011-01-01 42639
2012-01-01 44689
2013-01-01 46021
2014-01-01 46291
2015-01-01 48368
2016-01-01 51558
2017-01-01 55575
2018-01-01 54182
2019-01-01 55356
2020-01-01 65646
2021-01-01 58761
2022-01-01 74562
2023-01-01 74147
2024-01-01 76324

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