Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Marion County, IL
Series ID MHICILBIL17121A052NCEN
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 21872
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24154
1994-01-01 .
1995-01-01 25630
1996-01-01 .
1997-01-01 27871
1998-01-01 29235
1999-01-01 31518
2000-01-01 32564
2001-01-01 31826
2002-01-01 31673
2003-01-01 32618
2004-01-01 33950
2005-01-01 31758
2006-01-01 34009
2007-01-01 35440
2008-01-01 39057
2009-01-01 35425
2010-01-01 35509
2011-01-01 37027
2012-01-01 37728
2013-01-01 38211
2014-01-01 40997
2015-01-01 40123
2016-01-01 43127
2017-01-01 41307
2018-01-01 41816
2019-01-01 47596
2020-01-01 46375
2021-01-01 51688
2022-01-01 53449

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