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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Marion County, GA
Series ID MHICIUBGA13197A052NCEN
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 1:53 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 19863
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24340
1994-01-01 .
1995-01-01 26377
1996-01-01 .
1997-01-01 28459
1998-01-01 30545
1999-01-01 29966
2000-01-01 31498
2001-01-01 30248
2002-01-01 29937
2003-01-01 31178
2004-01-01 32029
2005-01-01 34459
2006-01-01 36308
2007-01-01 37927
2008-01-01 38485
2009-01-01 36384
2010-01-01 35979
2011-01-01 37600
2012-01-01 36896
2013-01-01 38116
2014-01-01 39239
2015-01-01 38538
2016-01-01 42319
2017-01-01 43153
2018-01-01 43413
2019-01-01 46016
2020-01-01 53279
2021-01-01 44700
2022-01-01 52802

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