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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jefferson County, IL
Series ID MHICIUBIL17081A052NCEN
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 26858
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29211
1994-01-01 .
1995-01-01 32058
1996-01-01 .
1997-01-01 34807
1998-01-01 36003
1999-01-01 35345
2000-01-01 36688
2001-01-01 35738
2002-01-01 36389
2003-01-01 36891
2004-01-01 38101
2005-01-01 41179
2006-01-01 41046
2007-01-01 44570
2008-01-01 41961
2009-01-01 41379
2010-01-01 42994
2011-01-01 45431
2012-01-01 43426
2013-01-01 43720
2014-01-01 46097
2015-01-01 49963
2016-01-01 49091
2017-01-01 53275
2018-01-01 51333
2019-01-01 54419
2020-01-01 61488
2021-01-01 56274
2022-01-01 63066

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