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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wilson County, TN
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 2022-01-01
Last Updated 2023-12-14 1:53 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.
1989-01-01 29584
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34769
1994-01-01 .
1995-01-01 39816
1996-01-01 .
1997-01-01 42255
1998-01-01 43890
1999-01-01 45411
2000-01-01 46935
2001-01-01 46847
2002-01-01 47748
2003-01-01 49571
2004-01-01 51408
2005-01-01 52356
2006-01-01 57133
2007-01-01 56717
2008-01-01 55362
2009-01-01 56855
2010-01-01 53294
2011-01-01 55882
2012-01-01 54531
2013-01-01 54987
2014-01-01 57235
2015-01-01 60628
2016-01-01 68214
2017-01-01 66655
2018-01-01 72703
2019-01-01 74608
2020-01-01 71937
2021-01-01 76304
2022-01-01 82443

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