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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hawkins County, TN
Series ID MHICIUBTN47073A052NCEN
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 25902
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28823
1994-01-01 .
1995-01-01 32724
1996-01-01 .
1997-01-01 34339
1998-01-01 35524
1999-01-01 33573
2000-01-01 35141
2001-01-01 34202
2002-01-01 34880
2003-01-01 35563
2004-01-01 36574
2005-01-01 34481
2006-01-01 37406
2007-01-01 40652
2008-01-01 36717
2009-01-01 39566
2010-01-01 39526
2011-01-01 40175
2012-01-01 38937
2013-01-01 38951
2014-01-01 42651
2015-01-01 41713
2016-01-01 42020
2017-01-01 44673
2018-01-01 45171
2019-01-01 51015
2020-01-01 57036
2021-01-01 54005
2022-01-01 57318

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