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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Montgomery County, TN
Series ID MHICIUBTN47125A052NCEN
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.
DATE VALUE
1989-01-01 27260
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32597
1994-01-01 .
1995-01-01 36535
1996-01-01 .
1997-01-01 38666
1998-01-01 39959
1999-01-01 40509
2000-01-01 42929
2001-01-01 41971
2002-01-01 42222
2003-01-01 42646
2004-01-01 45710
2005-01-01 47281
2006-01-01 49541
2007-01-01 50679
2008-01-01 49891
2009-01-01 49028
2010-01-01 49793
2011-01-01 51498
2012-01-01 50545
2013-01-01 53025
2014-01-01 52485
2015-01-01 52648
2016-01-01 58067
2017-01-01 60315
2018-01-01 59511
2019-01-01 61538
2020-01-01 64759
2021-01-01 66824
2022-01-01 70661

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