Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Overton County, TN
Series ID MHICILBTN47133A052NCEN
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 2:32 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 16016
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18965
1994-01-01 .
1995-01-01 21305
1996-01-01 .
1997-01-01 22072
1998-01-01 23812
1999-01-01 25454
2000-01-01 26274
2001-01-01 25343
2002-01-01 26066
2003-01-01 27532
2004-01-01 28261
2005-01-01 27963
2006-01-01 29003
2007-01-01 29542
2008-01-01 29588
2009-01-01 29633
2010-01-01 30483
2011-01-01 29178
2012-01-01 31081
2013-01-01 32577
2014-01-01 32814
2015-01-01 32926
2016-01-01 31818
2017-01-01 34954
2018-01-01 38077
2019-01-01 38520
2020-01-01 36956
2021-01-01 40516
2022-01-01 46726
2023-01-01 47028

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