Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fentress County, TN
Series ID MHICIUBTN47049A052NCEN
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 15173
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19349
1994-01-01 .
1995-01-01 23192
1996-01-01 .
1997-01-01 23746
1998-01-01 25078
1999-01-01 24571
2000-01-01 26018
2001-01-01 25085
2002-01-01 25455
2003-01-01 26314
2004-01-01 27636
2005-01-01 27972
2006-01-01 29743
2007-01-01 32677
2008-01-01 31052
2009-01-01 30825
2010-01-01 31670
2011-01-01 31446
2012-01-01 30599
2013-01-01 33842
2014-01-01 33353
2015-01-01 34906
2016-01-01 35289
2017-01-01 36116
2018-01-01 40031
2019-01-01 42901
2020-01-01 46861
2021-01-01 46319
2022-01-01 45848

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