Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Benton County, TN
Series ID MHICILBTN47005A052NCEN
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 2:02 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 16858
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20427
1994-01-01 .
1995-01-01 22916
1996-01-01 .
1997-01-01 23479
1998-01-01 24298
1999-01-01 26332
2000-01-01 27300
2001-01-01 26411
2002-01-01 26594
2003-01-01 27269
2004-01-01 27667
2005-01-01 27906
2006-01-01 29708
2007-01-01 31030
2008-01-01 30754
2009-01-01 28903
2010-01-01 29774
2011-01-01 29365
2012-01-01 30675
2013-01-01 32731
2014-01-01 31024
2015-01-01 32918
2016-01-01 32147
2017-01-01 32360
2018-01-01 36244
2019-01-01 37515
2020-01-01 38131
2021-01-01 39987
2022-01-01 45169
2023-01-01 47139

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