Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cheatham County, TN
Series ID MHICILBTN47021A052NCEN
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 26305
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33149
1994-01-01 .
1995-01-01 37008
1996-01-01 .
1997-01-01 37960
1998-01-01 39657
1999-01-01 41508
2000-01-01 43417
2001-01-01 43034
2002-01-01 43644
2003-01-01 45164
2004-01-01 46308
2005-01-01 45032
2006-01-01 47285
2007-01-01 47649
2008-01-01 51826
2009-01-01 47301
2010-01-01 47737
2011-01-01 46707
2012-01-01 47304
2013-01-01 48807
2014-01-01 47181
2015-01-01 50876
2016-01-01 53451
2017-01-01 54957
2018-01-01 58751
2019-01-01 59113
2020-01-01 69862
2021-01-01 68327
2022-01-01 71738

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