Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hamilton County, TN
Series ID MHICIUBTN47065A052NCEN
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 27903
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32649
1994-01-01 .
1995-01-01 35677
1996-01-01 .
1997-01-01 37713
1998-01-01 38785
1999-01-01 39590
2000-01-01 41902
2001-01-01 41355
2002-01-01 41559
2003-01-01 42090
2004-01-01 42821
2005-01-01 43459
2006-01-01 43310
2007-01-01 47690
2008-01-01 49434
2009-01-01 45578
2010-01-01 46792
2011-01-01 44866
2012-01-01 49200
2013-01-01 49934
2014-01-01 50143
2015-01-01 51543
2016-01-01 51237
2017-01-01 55096
2018-01-01 59656
2019-01-01 60522
2020-01-01 65423
2021-01-01 68856
2022-01-01 78352

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