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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Roane County, TN
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 1:09 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.
1989-01-01 25609
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30220
1994-01-01 .
1995-01-01 33572
1996-01-01 .
1997-01-01 34512
1998-01-01 35604
1999-01-01 35274
2000-01-01 37053
2001-01-01 36085
2002-01-01 37264
2003-01-01 39360
2004-01-01 40694
2005-01-01 41323
2006-01-01 43813
2007-01-01 45245
2008-01-01 44222
2009-01-01 41846
2010-01-01 45539
2011-01-01 45756
2012-01-01 44748
2013-01-01 45554
2014-01-01 46807
2015-01-01 47960
2016-01-01 51346
2017-01-01 52414
2018-01-01 58031
2019-01-01 55288
2020-01-01 64244
2021-01-01 62689
2022-01-01 68298

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