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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chester County, TN
Series ID MHICILBTN47023A052NCEN
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 17958
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21431
1994-01-01 .
1995-01-01 24541
1996-01-01 .
1997-01-01 25957
1998-01-01 28146
1999-01-01 30853
2000-01-01 32252
2001-01-01 31718
2002-01-01 32032
2003-01-01 32906
2004-01-01 33759
2005-01-01 33320
2006-01-01 36125
2007-01-01 33637
2008-01-01 36163
2009-01-01 35731
2010-01-01 36448
2011-01-01 34837
2012-01-01 36205
2013-01-01 36912
2014-01-01 36723
2015-01-01 39110
2016-01-01 40396
2017-01-01 40600
2018-01-01 42505
2019-01-01 45323
2020-01-01 39050
2021-01-01 45371
2022-01-01 51031

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