Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bedford County, TN
Series ID MHICILBTN47003A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:53 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 21557
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25278
1994-01-01 .
1995-01-01 27162
1996-01-01 .
1997-01-01 29259
1998-01-01 30521
1999-01-01 32714
2000-01-01 34122
2001-01-01 33691
2002-01-01 33800
2003-01-01 35158
2004-01-01 36323
2005-01-01 35210
2006-01-01 37188
2007-01-01 37178
2008-01-01 36315
2009-01-01 35446
2010-01-01 35706
2011-01-01 36465
2012-01-01 38763
2013-01-01 38555
2014-01-01 38213
2015-01-01 41100
2016-01-01 43032
2017-01-01 46233
2018-01-01 45538
2019-01-01 45722
2020-01-01 51540
2021-01-01 52079
2022-01-01 65808

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