Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fentress County, TN
Series ID MHICILBTN47049A052NCEN
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 1:53 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 10563
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14509
1994-01-01 .
1995-01-01 16817
1996-01-01 .
1997-01-01 16899
1998-01-01 18500
1999-01-01 21424
2000-01-01 22321
2001-01-01 21806
2002-01-01 22121
2003-01-01 23159
2004-01-01 24322
2005-01-01 23352
2006-01-01 24722
2007-01-01 27153
2008-01-01 26042
2009-01-01 25251
2010-01-01 26506
2011-01-01 25886
2012-01-01 26177
2013-01-01 28288
2014-01-01 27245
2015-01-01 28742
2016-01-01 29415
2017-01-01 29674
2018-01-01 33343
2019-01-01 34315
2020-01-01 41001
2021-01-01 36619
2022-01-01 36446

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