Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ford County, IL
Series ID MHICIUBIL17053A052NCEN
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 28050
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32783
1994-01-01 .
1995-01-01 35909
1996-01-01 .
1997-01-01 39755
1998-01-01 40585
1999-01-01 40726
2000-01-01 43104
2001-01-01 42743
2002-01-01 43516
2003-01-01 43681
2004-01-01 45409
2005-01-01 44889
2006-01-01 47801
2007-01-01 50249
2008-01-01 55662
2009-01-01 50226
2010-01-01 53017
2011-01-01 53667
2012-01-01 52925
2013-01-01 56305
2014-01-01 55203
2015-01-01 57318
2016-01-01 57158
2017-01-01 61025
2018-01-01 60245
2019-01-01 60135
2020-01-01 66951
2021-01-01 64131
2022-01-01 75412

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