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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Randolph County, IL
Series ID MHICILBIL17157A052NCEN
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 26169
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27388
1994-01-01 .
1995-01-01 27771
1996-01-01 .
1997-01-01 30628
1998-01-01 32116
1999-01-01 33470
2000-01-01 34594
2001-01-01 34321
2002-01-01 34527
2003-01-01 35033
2004-01-01 36559
2005-01-01 37188
2006-01-01 39468
2007-01-01 40135
2008-01-01 41576
2009-01-01 40049
2010-01-01 42814
2011-01-01 40920
2012-01-01 42864
2013-01-01 41324
2014-01-01 43650
2015-01-01 46591
2016-01-01 46905
2017-01-01 48882
2018-01-01 48835
2019-01-01 53335
2020-01-01 52150
2021-01-01 53331
2022-01-01 58195

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