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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, IL
Series ID MHICILBIL17119A052NCEN
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 26645
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31082
1994-01-01 .
1995-01-01 33333
1996-01-01 .
1997-01-01 36568
1998-01-01 38058
1999-01-01 38328
2000-01-01 39092
2001-01-01 38921
2002-01-01 39811
2003-01-01 41271
2004-01-01 42658
2005-01-01 45528
2006-01-01 45268
2007-01-01 50687
2008-01-01 49363
2009-01-01 48919
2010-01-01 49845
2011-01-01 48664
2012-01-01 50273
2013-01-01 51239
2014-01-01 51642
2015-01-01 50976
2016-01-01 53161
2017-01-01 55285
2018-01-01 57390
2019-01-01 62791
2020-01-01 60385
2021-01-01 62458
2022-01-01 64520

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