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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clayton County, GA
Series ID MHICILBGA13063A052NCEN
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 29748
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33694
1994-01-01 .
1995-01-01 33491
1996-01-01 .
1997-01-01 35353
1998-01-01 36762
1999-01-01 36905
2000-01-01 39140
2001-01-01 37987
2002-01-01 36984
2003-01-01 37132
2004-01-01 37086
2005-01-01 39248
2006-01-01 40996
2007-01-01 41853
2008-01-01 44672
2009-01-01 40737
2010-01-01 34893
2011-01-01 35548
2012-01-01 35504
2013-01-01 38717
2014-01-01 41605
2015-01-01 39137
2016-01-01 42201
2017-01-01 42308
2018-01-01 43275
2019-01-01 49035
2020-01-01 45281
2021-01-01 47901
2022-01-01 54316

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