Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison County, IL
Series ID MHICIUBIL17119A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 30817
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35281
1994-01-01 .
1995-01-01 38889
1996-01-01 .
1997-01-01 42227
1998-01-01 43669
1999-01-01 43357
2000-01-01 44957
2001-01-01 44331
2002-01-01 45379
2003-01-01 46560
2004-01-01 48161
2005-01-01 48942
2006-01-01 48875
2007-01-01 53460
2008-01-01 53051
2009-01-01 52336
2010-01-01 53567
2011-01-01 52260
2012-01-01 53199
2013-01-01 56489
2014-01-01 57108
2015-01-01 54962
2016-01-01 59433
2017-01-01 60869
2018-01-01 62852
2019-01-01 70391
2020-01-01 67421
2021-01-01 69314
2022-01-01 70362
2023-01-01 77266

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