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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Whiteside County, IL
Series ID MHICIUBIL17195A052NCEN
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 12:51 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 28890
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33505
1994-01-01 .
1995-01-01 36804
1996-01-01 .
1997-01-01 40521
1998-01-01 41825
1999-01-01 41815
2000-01-01 44382
2001-01-01 42903
2002-01-01 42479
2003-01-01 41956
2004-01-01 44035
2005-01-01 43299
2006-01-01 45708
2007-01-01 46527
2008-01-01 50668
2009-01-01 48452
2010-01-01 48537
2011-01-01 49159
2012-01-01 49110
2013-01-01 53443
2014-01-01 52568
2015-01-01 48365
2016-01-01 54813
2017-01-01 58838
2018-01-01 59755
2019-01-01 55015
2020-01-01 69957
2021-01-01 61256
2022-01-01 67793

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