Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fulton County, IL
Series ID MHICIUBIL17057A052NCEN
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 1:53 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 24185
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27996
1994-01-01 .
1995-01-01 31242
1996-01-01 .
1997-01-01 33769
1998-01-01 35326
1999-01-01 35434
2000-01-01 37516
2001-01-01 36759
2002-01-01 36983
2003-01-01 37748
2004-01-01 39310
2005-01-01 39693
2006-01-01 42232
2007-01-01 43600
2008-01-01 42951
2009-01-01 43720
2010-01-01 43609
2011-01-01 49511
2012-01-01 44517
2013-01-01 49080
2014-01-01 47172
2015-01-01 48695
2016-01-01 52237
2017-01-01 52864
2018-01-01 55101
2019-01-01 54417
2020-01-01 53111
2021-01-01 55199
2022-01-01 61760

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