Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Campbell County, TN
Series ID MHICIUBTN47013A052NCEN
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 18772
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20956
1994-01-01 .
1995-01-01 25634
1996-01-01 .
1997-01-01 26536
1998-01-01 27477
1999-01-01 26783
2000-01-01 28064
2001-01-01 27157
2002-01-01 28029
2003-01-01 29368
2004-01-01 30458
2005-01-01 30007
2006-01-01 31241
2007-01-01 34182
2008-01-01 33077
2009-01-01 33632
2010-01-01 34209
2011-01-01 31422
2012-01-01 35548
2013-01-01 34630
2014-01-01 35599
2015-01-01 35788
2016-01-01 38515
2017-01-01 43804
2018-01-01 42557
2019-01-01 46507
2020-01-01 46537
2021-01-01 49150
2022-01-01 48241

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