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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Piatt County, IL
Series ID MHICILBIL17147A052NCEN
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 1:54 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 28346
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34814
1994-01-01 .
1995-01-01 35479
1996-01-01 .
1997-01-01 39937
1998-01-01 42182
1999-01-01 42529
2000-01-01 44298
2001-01-01 44291
2002-01-01 44692
2003-01-01 45017
2004-01-01 46739
2005-01-01 45412
2006-01-01 49906
2007-01-01 50033
2008-01-01 54269
2009-01-01 54528
2010-01-01 50270
2011-01-01 58293
2012-01-01 58746
2013-01-01 61690
2014-01-01 59575
2015-01-01 61194
2016-01-01 59552
2017-01-01 61209
2018-01-01 60638
2019-01-01 64236
2020-01-01 60684
2021-01-01 75583
2022-01-01 76401

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