Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Will County, IL
Series ID MHICILBIL17197A052NCEN
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 36636
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 44024
1994-01-01 .
1995-01-01 49601
1996-01-01 .
1997-01-01 51275
1998-01-01 54333
1999-01-01 56914
2000-01-01 58862
2001-01-01 58905
2002-01-01 59199
2003-01-01 59879
2004-01-01 62643
2005-01-01 66540
2006-01-01 71291
2007-01-01 70026
2008-01-01 74849
2009-01-01 70500
2010-01-01 69012
2011-01-01 70366
2012-01-01 70777
2013-01-01 72568
2014-01-01 72839
2015-01-01 74093
2016-01-01 79138
2017-01-01 80043
2018-01-01 82874
2019-01-01 87753
2020-01-01 87230
2021-01-01 90392
2022-01-01 93699
2023-01-01 100532

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