Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Franklin County, IL
Series ID MHICIUBIL17055A052NCEN
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 2:31 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 22605
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24870
1994-01-01 .
1995-01-01 27466
1996-01-01 .
1997-01-01 28852
1998-01-01 29820
1999-01-01 30044
2000-01-01 31828
2001-01-01 31291
2002-01-01 32152
2003-01-01 33220
2004-01-01 34520
2005-01-01 34677
2006-01-01 34533
2007-01-01 35863
2008-01-01 37070
2009-01-01 34355
2010-01-01 34935
2011-01-01 38562
2012-01-01 41597
2013-01-01 38233
2014-01-01 40407
2015-01-01 46502
2016-01-01 44353
2017-01-01 43791
2018-01-01 45804
2019-01-01 46878
2020-01-01 53355
2021-01-01 52055
2022-01-01 52972
2023-01-01 57655

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