Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Edwards County, IL
Series ID MHICILBIL17047A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 21223
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24215
1994-01-01 .
1995-01-01 24211
1996-01-01 .
1997-01-01 27752
1998-01-01 27789
1999-01-01 29811
2000-01-01 30882
2001-01-01 31200
2002-01-01 32086
2003-01-01 34074
2004-01-01 35369
2005-01-01 35701
2006-01-01 35668
2007-01-01 37202
2008-01-01 38956
2009-01-01 36246
2010-01-01 38993
2011-01-01 37642
2012-01-01 39143
2013-01-01 41287
2014-01-01 42541
2015-01-01 45128
2016-01-01 44566
2017-01-01 44010
2018-01-01 46367
2019-01-01 49035
2020-01-01 47594
2021-01-01 47561
2022-01-01 54157
2023-01-01 52407

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