Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Haywood County, TN
Series ID MHICILBTN47075A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 14048
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18325
1994-01-01 .
1995-01-01 19924
1996-01-01 .
1997-01-01 21932
1998-01-01 23463
1999-01-01 25492
2000-01-01 26586
2001-01-01 25891
2002-01-01 25660
2003-01-01 27089
2004-01-01 27969
2005-01-01 29047
2006-01-01 27584
2007-01-01 30133
2008-01-01 29877
2009-01-01 28845
2010-01-01 31130
2011-01-01 29178
2012-01-01 30001
2013-01-01 31523
2014-01-01 31844
2015-01-01 31727
2016-01-01 32745
2017-01-01 31532
2018-01-01 35687
2019-01-01 34508
2020-01-01 37264
2021-01-01 37889
2022-01-01 41508
2023-01-01 39836

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