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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Knox County, IL
Series ID MHICIUBIL17095A052NCEN
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 27338
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30967
1994-01-01 .
1995-01-01 34011
1996-01-01 .
1997-01-01 36611
1998-01-01 37417
1999-01-01 36709
2000-01-01 38693
2001-01-01 37550
2002-01-01 37305
2003-01-01 37401
2004-01-01 38743
2005-01-01 38232
2006-01-01 40666
2007-01-01 40897
2008-01-01 41988
2009-01-01 43089
2010-01-01 42274
2011-01-01 43111
2012-01-01 43313
2013-01-01 42423
2014-01-01 41571
2015-01-01 47010
2016-01-01 47010
2017-01-01 47829
2018-01-01 48082
2019-01-01 47883
2020-01-01 59395
2021-01-01 52192
2022-01-01 62735

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