Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for McDonough County, IL
Series ID MHICIUBIL17109A052NCEN
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 1:53 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 25929
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29523
1994-01-01 .
1995-01-01 32257
1996-01-01 .
1997-01-01 35889
1998-01-01 37602
1999-01-01 34768
2000-01-01 35958
2001-01-01 34771
2002-01-01 34096
2003-01-01 33958
2004-01-01 35053
2005-01-01 36860
2006-01-01 38067
2007-01-01 37231
2008-01-01 42995
2009-01-01 39797
2010-01-01 41140
2011-01-01 42361
2012-01-01 44182
2013-01-01 45496
2014-01-01 46433
2015-01-01 46025
2016-01-01 48371
2017-01-01 48416
2018-01-01 45517
2019-01-01 54584
2020-01-01 55840
2021-01-01 58751
2022-01-01 58420

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