Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Williamson County, TN
Series ID MHICILBTN47187A052NCEN
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 1:11 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 40699
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 48576
1994-01-01 .
1995-01-01 57491
1996-01-01 .
1997-01-01 60661
1998-01-01 63103
1999-01-01 65034
2000-01-01 66789
2001-01-01 68018
2002-01-01 70138
2003-01-01 71398
2004-01-01 74684
2005-01-01 75026
2006-01-01 79343
2007-01-01 79882
2008-01-01 89614
2009-01-01 82349
2010-01-01 78790
2011-01-01 83805
2012-01-01 87115
2013-01-01 87142
2014-01-01 90972
2015-01-01 99088
2016-01-01 102654
2017-01-01 103709
2018-01-01 108136
2019-01-01 111689
2020-01-01 109647
2021-01-01 114243
2022-01-01 125100

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