Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Henry County, IL
Series ID MHICIUBIL17073A052NCEN
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 3:12 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 29182
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33320
1994-01-01 .
1995-01-01 37969
1996-01-01 .
1997-01-01 41693
1998-01-01 42759
1999-01-01 42625
2000-01-01 45145
2001-01-01 44333
2002-01-01 44797
2003-01-01 45298
2004-01-01 47171
2005-01-01 46046
2006-01-01 47481
2007-01-01 48898
2008-01-01 52089
2009-01-01 53951
2010-01-01 52955
2011-01-01 52999
2012-01-01 56971
2013-01-01 55386
2014-01-01 54913
2015-01-01 61910
2016-01-01 59407
2017-01-01 63325
2018-01-01 63063
2019-01-01 66527
2020-01-01 70545
2021-01-01 67445
2022-01-01 76068
2023-01-01 79505

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