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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Greene County, TN
Series ID MHICILBTN47059A052NCEN
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 1:53 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 19328
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22066
1994-01-01 .
1995-01-01 23588
1996-01-01 .
1997-01-01 24681
1998-01-01 25719
1999-01-01 27693
2000-01-01 28779
2001-01-01 28185
2002-01-01 28685
2003-01-01 30362
2004-01-01 31794
2005-01-01 31000
2006-01-01 32880
2007-01-01 32523
2008-01-01 33341
2009-01-01 32000
2010-01-01 31873
2011-01-01 30694
2012-01-01 32942
2013-01-01 34338
2014-01-01 34183
2015-01-01 33681
2016-01-01 38789
2017-01-01 36359
2018-01-01 40683
2019-01-01 41077
2020-01-01 38703
2021-01-01 51131
2022-01-01 45605

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