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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Claiborne County, TN
Series ID MHICILBTN47025A052NCEN
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 14090
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17256
1994-01-01 .
1995-01-01 19641
1996-01-01 .
1997-01-01 20441
1998-01-01 22127
1999-01-01 24245
2000-01-01 24876
2001-01-01 24362
2002-01-01 24937
2003-01-01 26182
2004-01-01 26853
2005-01-01 27048
2006-01-01 27605
2007-01-01 27712
2008-01-01 28897
2009-01-01 28474
2010-01-01 26978
2011-01-01 31603
2012-01-01 30684
2013-01-01 29966
2014-01-01 31068
2015-01-01 32188
2016-01-01 30200
2017-01-01 35495
2018-01-01 34294
2019-01-01 35874
2020-01-01 37209
2021-01-01 39377
2022-01-01 37300
2023-01-01 48475
2024-01-01 47943

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