Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kendall County, IL
Series ID MHICIUBIL17093A052NCEN
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 44531
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 52334
1994-01-01 .
1995-01-01 57372
1996-01-01 .
1997-01-01 61792
1998-01-01 66151
1999-01-01 68752
2000-01-01 73004
2001-01-01 72795
2002-01-01 74782
2003-01-01 76844
2004-01-01 81763
2005-01-01 77506
2006-01-01 77940
2007-01-01 82240
2008-01-01 89629
2009-01-01 86357
2010-01-01 83670
2011-01-01 88512
2012-01-01 91867
2013-01-01 84869
2014-01-01 96948
2015-01-01 94820
2016-01-01 97058
2017-01-01 106025
2018-01-01 99500
2019-01-01 112950
2020-01-01 103952
2021-01-01 110096
2022-01-01 106416

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