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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Union County, GA
Series ID MHICILBGA13291A052NCEN
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 7:10 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 14670
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20907
1994-01-01 .
1995-01-01 24675
1996-01-01 .
1997-01-01 25157
1998-01-01 27018
1999-01-01 28969
2000-01-01 30249
2001-01-01 29597
2002-01-01 30082
2003-01-01 31198
2004-01-01 32746
2005-01-01 31480
2006-01-01 34647
2007-01-01 38759
2008-01-01 37255
2009-01-01 34055
2010-01-01 34060
2011-01-01 35406
2012-01-01 35038
2013-01-01 35928
2014-01-01 36383
2015-01-01 38721
2016-01-01 44954
2017-01-01 41355
2018-01-01 41636
2019-01-01 52802
2020-01-01 45768
2021-01-01 54409
2022-01-01 57868
2023-01-01 61517
2024-01-01 60648

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