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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Effingham County, IL
Series ID MHICIUBIL17049A052NCEN
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 1:53 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 30745
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34622
1994-01-01 .
1995-01-01 38195
1996-01-01 .
1997-01-01 40966
1998-01-01 42098
1999-01-01 42010
2000-01-01 44617
2001-01-01 43876
2002-01-01 44215
2003-01-01 44577
2004-01-01 46056
2005-01-01 45444
2006-01-01 47638
2007-01-01 51245
2008-01-01 47971
2009-01-01 50678
2010-01-01 52420
2011-01-01 52426
2012-01-01 53074
2013-01-01 54822
2014-01-01 56378
2015-01-01 57942
2016-01-01 55572
2017-01-01 64339
2018-01-01 66114
2019-01-01 63147
2020-01-01 73188
2021-01-01 76102
2022-01-01 80530

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