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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clarke County, GA
Series ID MHICILBGA13059A052NCEN
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 20627
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23572
1994-01-01 .
1995-01-01 24677
1996-01-01 .
1997-01-01 27494
1998-01-01 29923
1999-01-01 27194
2000-01-01 27657
2001-01-01 27063
2002-01-01 26839
2003-01-01 27676
2004-01-01 27790
2005-01-01 28582
2006-01-01 29380
2007-01-01 34752
2008-01-01 34535
2009-01-01 30218
2010-01-01 31518
2011-01-01 28666
2012-01-01 30680
2013-01-01 30596
2014-01-01 29389
2015-01-01 30895
2016-01-01 33330
2017-01-01 36791
2018-01-01 40172
2019-01-01 38048
2020-01-01 40558
2021-01-01 45458
2022-01-01 44537

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