Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Scott County, IL
Series ID MHICILBIL17171A052NCEN
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 21132
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25420
1994-01-01 .
1995-01-01 25644
1996-01-01 .
1997-01-01 30451
1998-01-01 31759
1999-01-01 33244
2000-01-01 34450
2001-01-01 34507
2002-01-01 34524
2003-01-01 35465
2004-01-01 38006
2005-01-01 38994
2006-01-01 38242
2007-01-01 39914
2008-01-01 42016
2009-01-01 45185
2010-01-01 44335
2011-01-01 44176
2012-01-01 42990
2013-01-01 41813
2014-01-01 46178
2015-01-01 46016
2016-01-01 47675
2017-01-01 44838
2018-01-01 49396
2019-01-01 54734
2020-01-01 50125
2021-01-01 56684
2022-01-01 56932

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