Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fayette County, TN
Series ID MHICILBTN47047A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 16560
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21859
1994-01-01 .
1995-01-01 26896
1996-01-01 .
1997-01-01 29883
1998-01-01 32430
1999-01-01 34993
2000-01-01 37106
2001-01-01 37113
2002-01-01 38286
2003-01-01 41819
2004-01-01 41817
2005-01-01 41874
2006-01-01 43711
2007-01-01 50999
2008-01-01 46961
2009-01-01 50359
2010-01-01 50061
2011-01-01 46171
2012-01-01 48278
2013-01-01 51144
2014-01-01 51517
2015-01-01 53559
2016-01-01 52337
2017-01-01 55692
2018-01-01 54267
2019-01-01 60768
2020-01-01 65567
2021-01-01 65049
2022-01-01 78750
2023-01-01 67678

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