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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Will County, IL
Series ID MHICIUBIL17197A052NCEN
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 1:10 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 40755
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 48156
1994-01-01 .
1995-01-01 54940
1996-01-01 .
1997-01-01 56832
1998-01-01 59963
1999-01-01 64298
2000-01-01 67304
2001-01-01 66864
2002-01-01 67188
2003-01-01 67273
2004-01-01 70419
2005-01-01 70643
2006-01-01 74435
2007-01-01 73167
2008-01-01 78273
2009-01-01 74457
2010-01-01 73676
2011-01-01 73740
2012-01-01 74013
2013-01-01 76770
2014-01-01 77513
2015-01-01 78493
2016-01-01 84142
2017-01-01 84911
2018-01-01 89342
2019-01-01 92745
2020-01-01 93468
2021-01-01 97596
2022-01-01 100453

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