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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Calhoun County, IL
Series ID MHICIUBIL17013A052NCEN
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 23867
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26794
1994-01-01 .
1995-01-01 30947
1996-01-01 .
1997-01-01 35568
1998-01-01 36852
1999-01-01 37216
2000-01-01 39210
2001-01-01 38698
2002-01-01 40133
2003-01-01 40400
2004-01-01 42700
2005-01-01 43723
2006-01-01 45756
2007-01-01 48230
2008-01-01 48505
2009-01-01 48867
2010-01-01 49987
2011-01-01 52018
2012-01-01 51480
2013-01-01 52550
2014-01-01 54615
2015-01-01 56236
2016-01-01 56207
2017-01-01 60669
2018-01-01 61996
2019-01-01 69447
2020-01-01 70275
2021-01-01 70794
2022-01-01 76581

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