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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Richland County, IL
Series ID MHICIUBIL17159A052NCEN
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 24452
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28557
1994-01-01 .
1995-01-01 32281
1996-01-01 .
1997-01-01 34539
1998-01-01 34683
1999-01-01 33541
2000-01-01 35673
2001-01-01 34810
2002-01-01 34726
2003-01-01 35561
2004-01-01 37086
2005-01-01 37340
2006-01-01 39037
2007-01-01 42175
2008-01-01 43154
2009-01-01 43339
2010-01-01 44341
2011-01-01 44428
2012-01-01 45246
2013-01-01 45332
2014-01-01 47212
2015-01-01 47269
2016-01-01 50188
2017-01-01 52408
2018-01-01 52795
2019-01-01 55518
2020-01-01 63097
2021-01-01 62077
2022-01-01 62680

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