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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Whiteside County, IL
Series ID MHICILBIL17195A052NCEN
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 1:12 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 24526
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29161
1994-01-01 .
1995-01-01 30794
1996-01-01 .
1997-01-01 34368
1998-01-01 35735
1999-01-01 36694
2000-01-01 38170
2001-01-01 37338
2002-01-01 36899
2003-01-01 36828
2004-01-01 38769
2005-01-01 37578
2006-01-01 40506
2007-01-01 41312
2008-01-01 43423
2009-01-01 42267
2010-01-01 42675
2011-01-01 42701
2012-01-01 42526
2013-01-01 47535
2014-01-01 47222
2015-01-01 42561
2016-01-01 48321
2017-01-01 49730
2018-01-01 54639
2019-01-01 46745
2020-01-01 58869
2021-01-01 52354
2022-01-01 56283

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