Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kane County, IL
Series ID MHICIUBIL17089A052NCEN
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 40338
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 48293
1994-01-01 .
1995-01-01 53450
1996-01-01 .
1997-01-01 56235
1998-01-01 59966
1999-01-01 60511
2000-01-01 63899
2001-01-01 62906
2002-01-01 63655
2003-01-01 63394
2004-01-01 64948
2005-01-01 65707
2006-01-01 66395
2007-01-01 70739
2008-01-01 68555
2009-01-01 68892
2010-01-01 67875
2011-01-01 69187
2012-01-01 67481
2013-01-01 73950
2014-01-01 74696
2015-01-01 72695
2016-01-01 77050
2017-01-01 77691
2018-01-01 82785
2019-01-01 87227
2020-01-01 87605
2021-01-01 94483
2022-01-01 97727

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