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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Logan County, IL
Series ID MHICILBIL17107A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:09 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 25690
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29785
1994-01-01 .
1995-01-01 30843
1996-01-01 .
1997-01-01 34313
1998-01-01 35984
1999-01-01 36179
2000-01-01 36981
2001-01-01 36427
2002-01-01 36743
2003-01-01 36655
2004-01-01 38016
2005-01-01 40987
2006-01-01 42679
2007-01-01 40929
2008-01-01 48662
2009-01-01 41536
2010-01-01 44465
2011-01-01 42964
2012-01-01 43069
2013-01-01 47184
2014-01-01 50167
2015-01-01 54344
2016-01-01 49261
2017-01-01 52469
2018-01-01 48201
2019-01-01 49030
2020-01-01 60757
2021-01-01 55189
2022-01-01 50358
2023-01-01 57791
2024-01-01 62016

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