Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tennessee

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tennessee
Series ID MHICIUBTN47000A052NCEN
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 1:11 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 25030
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28176
1994-01-01 .
1995-01-01 31480
1996-01-01 32869
1997-01-01 33678
1998-01-01 35865
1999-01-01 36968
2000-01-01 37550
2001-01-01 38047
2002-01-01 38825
2003-01-01 39335
2004-01-01 40353
2005-01-01 39410
2006-01-01 40781
2007-01-01 42728
2008-01-01 44029
2009-01-01 42143
2010-01-01 41854
2011-01-01 42106
2012-01-01 43304
2013-01-01 44760
2014-01-01 44904
2015-01-01 47726
2016-01-01 49162
2017-01-01 51724
2018-01-01 52848
2019-01-01 56695
2020-01-01 57812
2021-01-01 60476
2022-01-01 66063

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