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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Decatur County, TN
Series ID MHICIUBTN47039A052NCEN
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 7:02 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 20561
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24221
1994-01-01 .
1995-01-01 28434
1996-01-01 .
1997-01-01 29967
1998-01-01 31060
1999-01-01 30223
2000-01-01 31602
2001-01-01 30592
2002-01-01 31120
2003-01-01 32189
2004-01-01 33490
2005-01-01 34477
2006-01-01 34161
2007-01-01 35075
2008-01-01 36678
2009-01-01 36022
2010-01-01 38030
2011-01-01 37809
2012-01-01 40397
2013-01-01 39539
2014-01-01 41292
2015-01-01 42195
2016-01-01 42335
2017-01-01 43133
2018-01-01 47022
2019-01-01 50437
2020-01-01 54376
2021-01-01 53489
2022-01-01 58008
2023-01-01 58661
2024-01-01 59703

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