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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clay County, TN
Series ID MHICILBTN47027A052NCEN
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 7:07 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 13479
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17761
1994-01-01 .
1995-01-01 19780
1996-01-01 .
1997-01-01 18972
1998-01-01 19722
1999-01-01 21823
2000-01-01 22713
2001-01-01 22382
2002-01-01 23077
2003-01-01 23703
2004-01-01 24371
2005-01-01 23517
2006-01-01 25166
2007-01-01 24785
2008-01-01 25921
2009-01-01 24669
2010-01-01 25396
2011-01-01 25200
2012-01-01 26325
2013-01-01 27680
2014-01-01 27534
2015-01-01 29344
2016-01-01 27745
2017-01-01 30249
2018-01-01 30760
2019-01-01 32271
2020-01-01 31805
2021-01-01 35126
2022-01-01 37936
2023-01-01 40959
2024-01-01 42413

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