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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Douglas County, IL
Series ID MHICIUBIL17041A052NCEN
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 29143
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33631
1994-01-01 .
1995-01-01 36783
1996-01-01 .
1997-01-01 39708
1998-01-01 40672
1999-01-01 41789
2000-01-01 44334
2001-01-01 44025
2002-01-01 44732
2003-01-01 45604
2004-01-01 47174
2005-01-01 45941
2006-01-01 48595
2007-01-01 50117
2008-01-01 48829
2009-01-01 54554
2010-01-01 52553
2011-01-01 52327
2012-01-01 55819
2013-01-01 51941
2014-01-01 57021
2015-01-01 58140
2016-01-01 58944
2017-01-01 59107
2018-01-01 61533
2019-01-01 69108
2020-01-01 71016
2021-01-01 72432
2022-01-01 75938

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