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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Morgan County, GA
Series ID MHICIUBGA13211A052NCEN
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 24308
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30113
1994-01-01 .
1995-01-01 34691
1996-01-01 .
1997-01-01 36252
1998-01-01 37690
1999-01-01 40165
2000-01-01 43404
2001-01-01 42201
2002-01-01 42560
2003-01-01 43451
2004-01-01 44580
2005-01-01 46664
2006-01-01 48954
2007-01-01 51300
2008-01-01 51406
2009-01-01 48423
2010-01-01 50001
2011-01-01 50794
2012-01-01 50669
2013-01-01 52975
2014-01-01 55015
2015-01-01 55760
2016-01-01 60494
2017-01-01 60344
2018-01-01 63212
2019-01-01 73385
2020-01-01 76241
2021-01-01 73924
2022-01-01 82559

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