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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clayton County, GA
Series ID MHICIUBGA13063A052NCEN
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 1:11 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 34122
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38079
1994-01-01 .
1995-01-01 39251
1996-01-01 .
1997-01-01 41363
1998-01-01 42765
1999-01-01 41996
2000-01-01 45300
2001-01-01 43475
2002-01-01 42389
2003-01-01 42093
2004-01-01 42095
2005-01-01 44506
2006-01-01 43161
2007-01-01 45496
2008-01-01 47914
2009-01-01 45212
2010-01-01 38297
2011-01-01 39864
2012-01-01 39684
2013-01-01 42495
2014-01-01 44365
2015-01-01 44325
2016-01-01 46995
2017-01-01 47206
2018-01-01 48843
2019-01-01 52439
2020-01-01 53459
2021-01-01 54943
2022-01-01 60934

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