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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bond County, IL
Series ID MHICILBIL17005A052NCEN
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 1:12 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 21376
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25855
1994-01-01 .
1995-01-01 27958
1996-01-01 .
1997-01-01 30654
1998-01-01 32013
1999-01-01 34311
2000-01-01 35462
2001-01-01 35257
2002-01-01 35275
2003-01-01 36118
2004-01-01 37366
2005-01-01 37311
2006-01-01 38567
2007-01-01 43114
2008-01-01 41488
2009-01-01 41169
2010-01-01 42602
2011-01-01 40699
2012-01-01 42290
2013-01-01 43699
2014-01-01 44911
2015-01-01 46084
2016-01-01 48892
2017-01-01 50787
2018-01-01 49055
2019-01-01 47868
2020-01-01 50514
2021-01-01 53278
2022-01-01 58629

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