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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wayne County, GA
Series ID MHICILBGA13305A052NCEN
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 20109
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23371
1994-01-01 .
1995-01-01 25510
1996-01-01 .
1997-01-01 27413
1998-01-01 28568
1999-01-01 29420
2000-01-01 31024
2001-01-01 30080
2002-01-01 29901
2003-01-01 30786
2004-01-01 31522
2005-01-01 32466
2006-01-01 33424
2007-01-01 35226
2008-01-01 34152
2009-01-01 32877
2010-01-01 33331
2011-01-01 33604
2012-01-01 34702
2013-01-01 34526
2014-01-01 37526
2015-01-01 37663
2016-01-01 38125
2017-01-01 42253
2018-01-01 41280
2019-01-01 42257
2020-01-01 41732
2021-01-01 40689
2022-01-01 45730
2023-01-01 49709
2024-01-01 55799

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