Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kane County, IL
Series ID MHICILBIL17089A052NCEN
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 2:33 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 36280
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 44126
1994-01-01 .
1995-01-01 48028
1996-01-01 .
1997-01-01 50423
1998-01-01 54085
1999-01-01 53551
2000-01-01 55698
2001-01-01 55357
2002-01-01 56030
2003-01-01 56384
2004-01-01 57755
2005-01-01 61150
2006-01-01 61823
2007-01-01 66287
2008-01-01 65112
2009-01-01 64316
2010-01-01 62985
2011-01-01 63079
2012-01-01 62259
2013-01-01 68938
2014-01-01 69566
2015-01-01 68309
2016-01-01 70318
2017-01-01 73787
2018-01-01 76883
2019-01-01 81395
2020-01-01 79963
2021-01-01 87399
2022-01-01 89223
2023-01-01 93047

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