Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Tennessee

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Tennessee
Series ID MHICILBTN47000A052NCEN
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 11:51 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 22766
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25804
1994-01-01 .
1995-01-01 28552
1996-01-01 29324
1997-01-01 30416
1998-01-01 32511
1999-01-01 34281
2000-01-01 33970
2001-01-01 35211
2002-01-01 35434
2003-01-01 36514
2004-01-01 37537
2005-01-01 38483
2006-01-01 39955
2007-01-01 42049
2008-01-01 43190
2009-01-01 41286
2010-01-01 41068
2011-01-01 41276
2012-01-01 42182
2013-01-01 43776
2014-01-01 43810
2015-01-01 46760
2016-01-01 47850
2017-01-01 50914
2018-01-01 51884
2019-01-01 55399
2020-01-01 56112
2021-01-01 58920
2022-01-01 64399
2023-01-01 66801
2024-01-01 71375

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