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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wayne County, GA
Series ID MHICIUBGA13305A052NCEN
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 7:05 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 24634
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27839
1994-01-01 .
1995-01-01 31364
1996-01-01 .
1997-01-01 33323
1998-01-01 34447
1999-01-01 33441
2000-01-01 35895
2001-01-01 34409
2002-01-01 34216
2003-01-01 34859
2004-01-01 35742
2005-01-01 38386
2006-01-01 39647
2007-01-01 42319
2008-01-01 40738
2009-01-01 39600
2010-01-01 39793
2011-01-01 40560
2012-01-01 41212
2013-01-01 41636
2014-01-01 44660
2015-01-01 45269
2016-01-01 45909
2017-01-01 49375
2018-01-01 47934
2019-01-01 52507
2020-01-01 56038
2021-01-01 51939
2022-01-01 56474
2023-01-01 61885
2024-01-01 65635

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