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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hawkins County, TN
Series ID MHICILBTN47073A052NCEN
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 1:12 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 21446
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24329
1994-01-01 .
1995-01-01 26658
1996-01-01 .
1997-01-01 28216
1998-01-01 29439
1999-01-01 29462
2000-01-01 30281
2001-01-01 29845
2002-01-01 30415
2003-01-01 31381
2004-01-01 32265
2005-01-01 30431
2006-01-01 32648
2007-01-01 34145
2008-01-01 33224
2009-01-01 33453
2010-01-01 34802
2011-01-01 34015
2012-01-01 33699
2013-01-01 33253
2014-01-01 36361
2015-01-01 35703
2016-01-01 35896
2017-01-01 38121
2018-01-01 39205
2019-01-01 42189
2020-01-01 48760
2021-01-01 45741
2022-01-01 48320

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