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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Johnson County, IL
Series ID MHICIUBIL17087A052NCEN
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 23544
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27324
1994-01-01 .
1995-01-01 31210
1996-01-01 .
1997-01-01 33742
1998-01-01 36075
1999-01-01 34883
2000-01-01 36657
2001-01-01 35928
2002-01-01 36596
2003-01-01 37182
2004-01-01 38570
2005-01-01 41410
2006-01-01 41156
2007-01-01 45772
2008-01-01 46590
2009-01-01 44665
2010-01-01 45592
2011-01-01 46154
2012-01-01 46850
2013-01-01 43584
2014-01-01 50188
2015-01-01 51161
2016-01-01 52662
2017-01-01 54157
2018-01-01 59174
2019-01-01 61113
2020-01-01 57914
2021-01-01 62524
2022-01-01 66725

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