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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wheeler County, GA
Series ID MHICILBGA13309A052NCEN
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 13427
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16984
1994-01-01 .
1995-01-01 18707
1996-01-01 .
1997-01-01 19736
1998-01-01 20573
1999-01-01 22045
2000-01-01 22554
2001-01-01 21602
2002-01-01 21497
2003-01-01 22577
2004-01-01 22850
2005-01-01 23476
2006-01-01 25366
2007-01-01 29073
2008-01-01 28641
2009-01-01 25206
2010-01-01 26986
2011-01-01 27270
2012-01-01 24896
2013-01-01 27662
2014-01-01 27015
2015-01-01 27736
2016-01-01 26480
2017-01-01 27488
2018-01-01 29013
2019-01-01 31557
2020-01-01 30879
2021-01-01 31377
2022-01-01 32158
2023-01-01 36325
2024-01-01 37732

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