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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fayette County, GA
Series ID MHICIUBGA13113A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:06 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 52914
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 60077
1994-01-01 .
1995-01-01 69371
1996-01-01 .
1997-01-01 72518
1998-01-01 73514
1999-01-01 76206
2000-01-01 79135
2001-01-01 78785
2002-01-01 80204
2003-01-01 79306
2004-01-01 80648
2005-01-01 82306
2006-01-01 85304
2007-01-01 84068
2008-01-01 88775
2009-01-01 80720
2010-01-01 84460
2011-01-01 78278
2012-01-01 84012
2013-01-01 86484
2014-01-01 84162
2015-01-01 84981
2016-01-01 88092
2017-01-01 93772
2018-01-01 102183
2019-01-01 101124
2020-01-01 105941
2021-01-01 96727
2022-01-01 116362
2023-01-01 116105
2024-01-01 127451

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