Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fulton County, IL
Series ID MHICILBIL17057A052NCEN
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 19615
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23446
1994-01-01 .
1995-01-01 25149
1996-01-01 .
1997-01-01 27660
1998-01-01 29291
1999-01-01 31154
2000-01-01 32351
2001-01-01 32099
2002-01-01 32271
2003-01-01 33306
2004-01-01 34683
2005-01-01 34285
2006-01-01 36283
2007-01-01 37736
2008-01-01 37318
2009-01-01 37668
2010-01-01 37889
2011-01-01 43567
2012-01-01 39281
2013-01-01 43604
2014-01-01 41698
2015-01-01 40603
2016-01-01 46769
2017-01-01 45766
2018-01-01 47415
2019-01-01 46505
2020-01-01 44545
2021-01-01 46757
2022-01-01 52964
2023-01-01 58645

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