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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lake County, IL
Series ID MHICILBIL17097A052NCEN
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 1:54 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 41878
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 50198
1994-01-01 .
1995-01-01 56942
1996-01-01 .
1997-01-01 60574
1998-01-01 60670
1999-01-01 61718
2000-01-01 62447
2001-01-01 63461
2002-01-01 64025
2003-01-01 62780
2004-01-01 63290
2005-01-01 66873
2006-01-01 73258
2007-01-01 76073
2008-01-01 76657
2009-01-01 74251
2010-01-01 72572
2011-01-01 72260
2012-01-01 72236
2013-01-01 72612
2014-01-01 75330
2015-01-01 80142
2016-01-01 81035
2017-01-01 83098
2018-01-01 85186
2019-01-01 89588
2020-01-01 96897
2021-01-01 91686
2022-01-01 98532

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