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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Woodford County, IL
Series ID MHICIUBIL17203A052NCEN
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 35032
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 42909
1994-01-01 .
1995-01-01 48329
1996-01-01 .
1997-01-01 52546
1998-01-01 53507
1999-01-01 54110
2000-01-01 57119
2001-01-01 56367
2002-01-01 56532
2003-01-01 57051
2004-01-01 61325
2005-01-01 62767
2006-01-01 63755
2007-01-01 65816
2008-01-01 69676
2009-01-01 70453
2010-01-01 71071
2011-01-01 71525
2012-01-01 74760
2013-01-01 72640
2014-01-01 75951
2015-01-01 72246
2016-01-01 76689
2017-01-01 80704
2018-01-01 79175
2019-01-01 83715
2020-01-01 81782
2021-01-01 93055
2022-01-01 92921

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