Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Campbell County, TN
Series ID MHICILBTN47013A052NCEN
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 14172
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16360
1994-01-01 .
1995-01-01 19337
1996-01-01 .
1997-01-01 20074
1998-01-01 21179
1999-01-01 23342
2000-01-01 24067
2001-01-01 23567
2002-01-01 24293
2003-01-01 25781
2004-01-01 26732
2005-01-01 25463
2006-01-01 26735
2007-01-01 28889
2008-01-01 27591
2009-01-01 28624
2010-01-01 29189
2011-01-01 26666
2012-01-01 30242
2013-01-01 30020
2014-01-01 31067
2015-01-01 30396
2016-01-01 31479
2017-01-01 37928
2018-01-01 36329
2019-01-01 38493
2020-01-01 38125
2021-01-01 39500
2022-01-01 40295

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