Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for DuPage County, IL
Series ID MHICIUBIL17043A052NCEN
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 1:10 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 51288
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 54836
1994-01-01 .
1995-01-01 61993
1996-01-01 .
1997-01-01 65379
1998-01-01 66969
1999-01-01 70438
2000-01-01 73182
2001-01-01 71607
2002-01-01 68359
2003-01-01 68109
2004-01-01 70566
2005-01-01 71934
2006-01-01 75617
2007-01-01 76027
2008-01-01 78652
2009-01-01 75270
2010-01-01 74532
2011-01-01 76602
2012-01-01 79945
2013-01-01 78053
2014-01-01 81741
2015-01-01 83287
2016-01-01 87011
2017-01-01 91642
2018-01-01 96627
2019-01-01 98255
2020-01-01 96614
2021-01-01 101804
2022-01-01 105487

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