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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for DeKalb County, TN
Series ID MHICIUBTN47041A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:03 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 21456
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25622
1994-01-01 .
1995-01-01 29066
1996-01-01 .
1997-01-01 31131
1998-01-01 32448
1999-01-01 32085
2000-01-01 33625
2001-01-01 32553
2002-01-01 33078
2003-01-01 35380
2004-01-01 36116
2005-01-01 36266
2006-01-01 38053
2007-01-01 40527
2008-01-01 40685
2009-01-01 37298
2010-01-01 38880
2011-01-01 40454
2012-01-01 38949
2013-01-01 40201
2014-01-01 42268
2015-01-01 47065
2016-01-01 44883
2017-01-01 45585
2018-01-01 51888
2019-01-01 51803
2020-01-01 58623
2021-01-01 50190
2022-01-01 61869
2023-01-01 65045
2024-01-01 66956

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