Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lee County, IL
Series ID MHICILBIL17103A052NCEN
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 25578
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30631
1994-01-01 .
1995-01-01 32112
1996-01-01 .
1997-01-01 35854
1998-01-01 36837
1999-01-01 37599
2000-01-01 38778
2001-01-01 38422
2002-01-01 38734
2003-01-01 39327
2004-01-01 41517
2005-01-01 42823
2006-01-01 42133
2007-01-01 43768
2008-01-01 46300
2009-01-01 43252
2010-01-01 45449
2011-01-01 44441
2012-01-01 46642
2013-01-01 49995
2014-01-01 51421
2015-01-01 48802
2016-01-01 50072
2017-01-01 55685
2018-01-01 50123
2019-01-01 52251
2020-01-01 57887
2021-01-01 57065
2022-01-01 60653

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