Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Giles County, TN
Series ID MHICIUBTN47055A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:11 AM 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 25157
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29151
1994-01-01 .
1995-01-01 33355
1996-01-01 .
1997-01-01 34934
1998-01-01 36964
1999-01-01 36562
2000-01-01 38529
2001-01-01 37243
2002-01-01 37056
2003-01-01 37350
2004-01-01 37689
2005-01-01 39587
2006-01-01 40581
2007-01-01 41232
2008-01-01 42914
2009-01-01 41556
2010-01-01 38427
2011-01-01 42814
2012-01-01 40918
2013-01-01 43461
2014-01-01 45276
2015-01-01 45942
2016-01-01 46886
2017-01-01 52342
2018-01-01 51998
2019-01-01 55461
2020-01-01 58225
2021-01-01 60847
2022-01-01 60561
2023-01-01 65256

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