Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Coffee County, TN
Series ID MHICIUBTN47031A052NCEN
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 27894
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31286
1994-01-01 .
1995-01-01 34250
1996-01-01 .
1997-01-01 35960
1998-01-01 37035
1999-01-01 36614
2000-01-01 38657
2001-01-01 37410
2002-01-01 38154
2003-01-01 40236
2004-01-01 42318
2005-01-01 39010
2006-01-01 40153
2007-01-01 43830
2008-01-01 44627
2009-01-01 43065
2010-01-01 42778
2011-01-01 38202
2012-01-01 44677
2013-01-01 47117
2014-01-01 47894
2015-01-01 47247
2016-01-01 51137
2017-01-01 52456
2018-01-01 54198
2019-01-01 59086
2020-01-01 60937
2021-01-01 59658
2022-01-01 61068

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