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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Adams County, IL
Series ID MHICILBIL17001A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:09 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 22446
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25833
1994-01-01 .
1995-01-01 28347
1996-01-01 .
1997-01-01 31531
1998-01-01 33729
1999-01-01 33502
2000-01-01 34399
2001-01-01 33788
2002-01-01 34079
2003-01-01 35010
2004-01-01 36987
2005-01-01 36914
2006-01-01 37090
2007-01-01 41150
2008-01-01 41252
2009-01-01 38915
2010-01-01 39274
2011-01-01 40833
2012-01-01 43006
2013-01-01 40470
2014-01-01 43973
2015-01-01 44294
2016-01-01 48232
2017-01-01 46873
2018-01-01 50828
2019-01-01 52202
2020-01-01 52093
2021-01-01 55704
2022-01-01 56717
2023-01-01 58969
2024-01-01 62253

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