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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Edwards County, IL
Series ID MHICIUBIL17047A052NCEN
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 25710
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28886
1994-01-01 .
1995-01-01 30516
1996-01-01 .
1997-01-01 33979
1998-01-01 34181
1999-01-01 34205
2000-01-01 36095
2001-01-01 35860
2002-01-01 36927
2003-01-01 38776
2004-01-01 40251
2005-01-01 41949
2006-01-01 40708
2007-01-01 44738
2008-01-01 43594
2009-01-01 43814
2010-01-01 47095
2011-01-01 44836
2012-01-01 47105
2013-01-01 50063
2014-01-01 51247
2015-01-01 51530
2016-01-01 53202
2017-01-01 53288
2018-01-01 56193
2019-01-01 60825
2020-01-01 64070
2021-01-01 59997
2022-01-01 62617

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