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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jefferson County, IL
Series ID MHICILBIL17081A052NCEN
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 1:12 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 22477
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24797
1994-01-01 .
1995-01-01 26176
1996-01-01 .
1997-01-01 28878
1998-01-01 30111
1999-01-01 31126
2000-01-01 31688
2001-01-01 31234
2002-01-01 31788
2003-01-01 32599
2004-01-01 33672
2005-01-01 36602
2006-01-01 35740
2007-01-01 38840
2008-01-01 35788
2009-01-01 35273
2010-01-01 38060
2011-01-01 39771
2012-01-01 37766
2013-01-01 37606
2014-01-01 40049
2015-01-01 42957
2016-01-01 42401
2017-01-01 47969
2018-01-01 43517
2019-01-01 46643
2020-01-01 54740
2021-01-01 50314
2022-01-01 54180

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