Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bradley County, TN
Series ID MHICIUBTN47011A052NCEN
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 1:51 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 28719
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31868
1994-01-01 .
1995-01-01 35455
1996-01-01 .
1997-01-01 37424
1998-01-01 38911
1999-01-01 37193
2000-01-01 38883
2001-01-01 38074
2002-01-01 38601
2003-01-01 39422
2004-01-01 40453
2005-01-01 42102
2006-01-01 40637
2007-01-01 41165
2008-01-01 42771
2009-01-01 42016
2010-01-01 41139
2011-01-01 41530
2012-01-01 42650
2013-01-01 45485
2014-01-01 46324
2015-01-01 46466
2016-01-01 48112
2017-01-01 52520
2018-01-01 53084
2019-01-01 56578
2020-01-01 54314
2021-01-01 61135
2022-01-01 67054

Subscribe to the FRED newsletter


Follow us

Back to Top