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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pulaski County, IL
Series ID MHICILBIL17153A052NCEN
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 13695
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16746
1994-01-01 .
1995-01-01 18406
1996-01-01 .
1997-01-01 19642
1998-01-01 20087
1999-01-01 23211
2000-01-01 24149
2001-01-01 23624
2002-01-01 23915
2003-01-01 25014
2004-01-01 26090
2005-01-01 24691
2006-01-01 27040
2007-01-01 28120
2008-01-01 28068
2009-01-01 29628
2010-01-01 30082
2011-01-01 28722
2012-01-01 29386
2013-01-01 31631
2014-01-01 30359
2015-01-01 31610
2016-01-01 32023
2017-01-01 34618
2018-01-01 34384
2019-01-01 34536
2020-01-01 34134
2021-01-01 37420
2022-01-01 39242

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