Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wayne County, TN
Series ID MHICIUBTN47181A052NCEN
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 2:31 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 20838
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24228
1994-01-01 .
1995-01-01 27898
1996-01-01 .
1997-01-01 28148
1998-01-01 28862
1999-01-01 28013
2000-01-01 28946
2001-01-01 27705
2002-01-01 28204
2003-01-01 29149
2004-01-01 30684
2005-01-01 31985
2006-01-01 31228
2007-01-01 34267
2008-01-01 35366
2009-01-01 35527
2010-01-01 35235
2011-01-01 32746
2012-01-01 35028
2013-01-01 36520
2014-01-01 37100
2015-01-01 38273
2016-01-01 40997
2017-01-01 40462
2018-01-01 42784
2019-01-01 49344
2020-01-01 47899
2021-01-01 52480
2022-01-01 54146
2023-01-01 56430

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