Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Haywood County, TN
Series ID MHICIUBTN47075A052NCEN
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 2:31 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 18606
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22937
1994-01-01 .
1995-01-01 26089
1996-01-01 .
1997-01-01 28179
1998-01-01 29672
1999-01-01 29045
2000-01-01 30899
2001-01-01 29739
2002-01-01 29518
2003-01-01 30749
2004-01-01 31761
2005-01-01 32930
2006-01-01 32843
2007-01-01 35882
2008-01-01 35843
2009-01-01 35384
2010-01-01 37490
2011-01-01 35666
2012-01-01 35227
2013-01-01 37591
2014-01-01 39096
2015-01-01 38705
2016-01-01 38599
2017-01-01 37580
2018-01-01 43461
2019-01-01 43392
2020-01-01 50220
2021-01-01 47379
2022-01-01 51194
2023-01-01 45322

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