Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cannon County, TN
Series ID MHICIUBTN47015A052NCEN
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 1:09 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 23869
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28755
1994-01-01 .
1995-01-01 32301
1996-01-01 .
1997-01-01 33166
1998-01-01 34117
1999-01-01 34326
2000-01-01 36679
2001-01-01 35456
2002-01-01 36641
2003-01-01 37947
2004-01-01 39633
2005-01-01 39435
2006-01-01 41982
2007-01-01 42933
2008-01-01 44295
2009-01-01 41830
2010-01-01 38981
2011-01-01 40347
2012-01-01 42700
2013-01-01 44619
2014-01-01 45304
2015-01-01 48266
2016-01-01 49263
2017-01-01 56126
2018-01-01 56178
2019-01-01 58045
2020-01-01 57148
2021-01-01 59461
2022-01-01 69167

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