Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison County, TN
Series ID MHICIUBTN47113A052NCEN
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 1:09 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 25534
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29956
1994-01-01 .
1995-01-01 34504
1996-01-01 .
1997-01-01 36041
1998-01-01 37287
1999-01-01 38189
2000-01-01 40424
2001-01-01 39037
2002-01-01 38990
2003-01-01 40037
2004-01-01 40823
2005-01-01 42411
2006-01-01 41635
2007-01-01 44044
2008-01-01 45417
2009-01-01 41277
2010-01-01 43167
2011-01-01 42007
2012-01-01 45512
2013-01-01 43370
2014-01-01 46090
2015-01-01 49548
2016-01-01 45750
2017-01-01 50125
2018-01-01 49824
2019-01-01 53902
2020-01-01 52463
2021-01-01 56935
2022-01-01 61688

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