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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Toombs County, GA
Series ID MHICILBGA13279A052NCEN
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 1:54 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 16617
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19430
1994-01-01 .
1995-01-01 21048
1996-01-01 .
1997-01-01 21856
1998-01-01 22414
1999-01-01 24351
2000-01-01 25214
2001-01-01 24669
2002-01-01 24403
2003-01-01 25558
2004-01-01 26014
2005-01-01 23559
2006-01-01 27481
2007-01-01 30027
2008-01-01 29802
2009-01-01 27537
2010-01-01 29036
2011-01-01 29817
2012-01-01 28962
2013-01-01 29248
2014-01-01 30527
2015-01-01 31579
2016-01-01 33365
2017-01-01 32418
2018-01-01 33818
2019-01-01 36639
2020-01-01 36332
2021-01-01 40818
2022-01-01 39731

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