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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Van Buren County, TN
Series ID MHICIUBTN47175A052NCEN
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 7:02 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 22151
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25902
1994-01-01 .
1995-01-01 29305
1996-01-01 .
1997-01-01 31475
1998-01-01 33135
1999-01-01 30010
2000-01-01 31686
2001-01-01 30286
2002-01-01 30521
2003-01-01 31949
2004-01-01 33557
2005-01-01 34680
2006-01-01 32977
2007-01-01 37449
2008-01-01 36611
2009-01-01 34532
2010-01-01 34386
2011-01-01 36010
2012-01-01 38097
2013-01-01 40463
2014-01-01 38576
2015-01-01 42011
2016-01-01 41996
2017-01-01 42648
2018-01-01 42438
2019-01-01 49239
2020-01-01 52449
2021-01-01 51258
2022-01-01 56440
2023-01-01 63697
2024-01-01 61077

Back to Top