Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Anderson County, TN
Series ID MHICIUBTN47001A052NCEN
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 29650
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33843
1994-01-01 .
1995-01-01 37836
1996-01-01 .
1997-01-01 38970
1998-01-01 40265
1999-01-01 37940
2000-01-01 39914
2001-01-01 39012
2002-01-01 39816
2003-01-01 40727
2004-01-01 41463
2005-01-01 40410
2006-01-01 43688
2007-01-01 45424
2008-01-01 47528
2009-01-01 46534
2010-01-01 48959
2011-01-01 44226
2012-01-01 43972
2013-01-01 45075
2014-01-01 50318
2015-01-01 47736
2016-01-01 50406
2017-01-01 52653
2018-01-01 53880
2019-01-01 55398
2020-01-01 56022
2021-01-01 64225
2022-01-01 70539

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