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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jackson County, IL
Series ID MHICILBIL17077A052NCEN
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 1:54 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 18558
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21089
1994-01-01 .
1995-01-01 21989
1996-01-01 .
1997-01-01 23985
1998-01-01 25766
1999-01-01 24611
2000-01-01 24945
2001-01-01 24783
2002-01-01 24789
2003-01-01 25322
2004-01-01 25912
2005-01-01 24819
2006-01-01 27173
2007-01-01 28590
2008-01-01 32479
2009-01-01 28098
2010-01-01 30177
2011-01-01 29843
2012-01-01 29097
2013-01-01 31460
2014-01-01 31343
2015-01-01 34514
2016-01-01 31893
2017-01-01 35183
2018-01-01 39436
2019-01-01 33809
2020-01-01 41254
2021-01-01 38773
2022-01-01 40090

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