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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Giles County, TN
Series ID MHICILBTN47055A052NCEN
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 20649
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24618
1994-01-01 .
1995-01-01 27164
1996-01-01 .
1997-01-01 28760
1998-01-01 30856
1999-01-01 32116
2000-01-01 33179
2001-01-01 32465
2002-01-01 32271
2003-01-01 32898
2004-01-01 33172
2005-01-01 33774
2006-01-01 34715
2007-01-01 34302
2008-01-01 35779
2009-01-01 34535
2010-01-01 32505
2011-01-01 37018
2012-01-01 35584
2013-01-01 36299
2014-01-01 37376
2015-01-01 38472
2016-01-01 39590
2017-01-01 43334
2018-01-01 44050
2019-01-01 46233
2020-01-01 44439
2021-01-01 50089
2022-01-01 48807
2023-01-01 55588
2024-01-01 59415

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