Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Loudon County, TN
Series ID MHICIUBTN47105A052NCEN
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 1:51 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 26707
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30745
1994-01-01 .
1995-01-01 35903
1996-01-01 .
1997-01-01 37432
1998-01-01 39800
1999-01-01 41913
2000-01-01 44619
2001-01-01 43066
2002-01-01 43998
2003-01-01 46016
2004-01-01 48595
2005-01-01 49512
2006-01-01 50320
2007-01-01 52396
2008-01-01 54087
2009-01-01 55001
2010-01-01 50893
2011-01-01 54832
2012-01-01 53654
2013-01-01 57032
2014-01-01 58530
2015-01-01 57430
2016-01-01 59774
2017-01-01 61580
2018-01-01 62989
2019-01-01 71750
2020-01-01 77973
2021-01-01 80038
2022-01-01 87467

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