Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fayette County, IL
Series ID MHICILBIL17051A052NCEN
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 18857
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22799
1994-01-01 .
1995-01-01 24959
1996-01-01 .
1997-01-01 27170
1998-01-01 27879
1999-01-01 29515
2000-01-01 30492
2001-01-01 29932
2002-01-01 30123
2003-01-01 30624
2004-01-01 32316
2005-01-01 29474
2006-01-01 32230
2007-01-01 35071
2008-01-01 36162
2009-01-01 36230
2010-01-01 35400
2011-01-01 37143
2012-01-01 38909
2013-01-01 39483
2014-01-01 38095
2015-01-01 37838
2016-01-01 42489
2017-01-01 41005
2018-01-01 43207
2019-01-01 44035
2020-01-01 42944
2021-01-01 48308
2022-01-01 51707

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