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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clinton County, IL
Series ID MHICILBIL17027A052NCEN
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 27866
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32618
1994-01-01 .
1995-01-01 33721
1996-01-01 .
1997-01-01 36589
1998-01-01 38295
1999-01-01 40455
2000-01-01 42261
2001-01-01 42197
2002-01-01 42864
2003-01-01 44146
2004-01-01 45963
2005-01-01 47443
2006-01-01 47549
2007-01-01 49920
2008-01-01 52084
2009-01-01 49630
2010-01-01 48642
2011-01-01 56595
2012-01-01 56020
2013-01-01 57702
2014-01-01 57351
2015-01-01 60814
2016-01-01 55540
2017-01-01 61836
2018-01-01 61017
2019-01-01 61294
2020-01-01 63939
2021-01-01 70583
2022-01-01 72650

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