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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Van Buren County, TN
Series ID MHICILBTN47175A052NCEN
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 17590
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21372
1994-01-01 .
1995-01-01 23164
1996-01-01 .
1997-01-01 25230
1998-01-01 26755
1999-01-01 26239
2000-01-01 27122
2001-01-01 26336
2002-01-01 26560
2003-01-01 28136
2004-01-01 29511
2005-01-01 29260
2006-01-01 27752
2007-01-01 30537
2008-01-01 29810
2009-01-01 29230
2010-01-01 28524
2011-01-01 29782
2012-01-01 32305
2013-01-01 34323
2014-01-01 31192
2015-01-01 36685
2016-01-01 34250
2017-01-01 34308
2018-01-01 34092
2019-01-01 39663
2020-01-01 39367
2021-01-01 39872
2022-01-01 44080
2023-01-01 53471
2024-01-01 48083

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