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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Thomas County, GA
Series ID MHICIUBGA13275A052NCEN
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 22072
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25487
1994-01-01 .
1995-01-01 29842
1996-01-01 .
1997-01-01 30818
1998-01-01 32077
1999-01-01 31596
2000-01-01 33744
2001-01-01 32769
2002-01-01 32749
2003-01-01 32943
2004-01-01 33770
2005-01-01 36343
2006-01-01 37550
2007-01-01 42926
2008-01-01 40937
2009-01-01 36392
2010-01-01 38615
2011-01-01 37677
2012-01-01 39117
2013-01-01 42092
2014-01-01 40354
2015-01-01 43370
2016-01-01 44117
2017-01-01 47409
2018-01-01 45791
2019-01-01 52755
2020-01-01 62386
2021-01-01 55016
2022-01-01 57052

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