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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Johnson County, IL
Series ID MHICILBIL17087A052NCEN
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 19010
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22763
1994-01-01 .
1995-01-01 25021
1996-01-01 .
1997-01-01 27483
1998-01-01 29860
1999-01-01 30482
2000-01-01 31446
2001-01-01 31216
2002-01-01 31800
2003-01-01 32697
2004-01-01 33894
2005-01-01 34633
2006-01-01 35330
2007-01-01 38782
2008-01-01 38173
2009-01-01 36329
2010-01-01 37894
2011-01-01 38560
2012-01-01 39624
2013-01-01 36346
2014-01-01 41358
2015-01-01 42515
2016-01-01 44056
2017-01-01 45369
2018-01-01 48594
2019-01-01 48931
2020-01-01 45300
2021-01-01 51622
2022-01-01 52863

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