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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Monroe County, IL
Series ID MHICIUBIL17133A052NCEN
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 12:51 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 36182
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 42616
1994-01-01 .
1995-01-01 48304
1996-01-01 .
1997-01-01 52738
1998-01-01 55672
1999-01-01 58604
2000-01-01 61986
2001-01-01 61864
2002-01-01 63670
2003-01-01 64928
2004-01-01 67907
2005-01-01 67587
2006-01-01 66321
2007-01-01 72314
2008-01-01 76368
2009-01-01 78491
2010-01-01 75257
2011-01-01 78959
2012-01-01 75207
2013-01-01 76616
2014-01-01 79311
2015-01-01 87092
2016-01-01 90837
2017-01-01 91964
2018-01-01 94067
2019-01-01 98065
2020-01-01 104460
2021-01-01 99031
2022-01-01 112389

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