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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wayne County, IL
Series ID MHICIUBIL17191A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:53 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 23729
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27423
1994-01-01 .
1995-01-01 30143
1996-01-01 .
1997-01-01 33339
1998-01-01 34038
1999-01-01 33101
2000-01-01 34745
2001-01-01 34006
2002-01-01 34336
2003-01-01 35129
2004-01-01 37494
2005-01-01 37561
2006-01-01 37810
2007-01-01 40607
2008-01-01 41372
2009-01-01 44005
2010-01-01 43485
2011-01-01 43857
2012-01-01 46882
2013-01-01 46899
2014-01-01 49418
2015-01-01 51616
2016-01-01 49844
2017-01-01 50592
2018-01-01 53766
2019-01-01 57717
2020-01-01 55862
2021-01-01 57709
2022-01-01 59679

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