Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, TN
Series ID MHICILBTN47113A052NCEN
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 1:12 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 21198
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25580
1994-01-01 .
1995-01-01 28324
1996-01-01 .
1997-01-01 29761
1998-01-01 31108
1999-01-01 33560
2000-01-01 34852
2001-01-01 34068
2002-01-01 34016
2003-01-01 35349
2004-01-01 36028
2005-01-01 37149
2006-01-01 35895
2007-01-01 38013
2008-01-01 40920
2009-01-01 37112
2010-01-01 38173
2011-01-01 37013
2012-01-01 39464
2013-01-01 38130
2014-01-01 40136
2015-01-01 43840
2016-01-01 40324
2017-01-01 42723
2018-01-01 43478
2019-01-01 46900
2020-01-01 42697
2021-01-01 50973
2022-01-01 52452

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