Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Iroquois County, IL
Series ID MHICIUBIL17075A052NCEN
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 26456
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31710
1994-01-01 .
1995-01-01 34778
1996-01-01 .
1997-01-01 37352
1998-01-01 37868
1999-01-01 39280
2000-01-01 41828
2001-01-01 41165
2002-01-01 41026
2003-01-01 41516
2004-01-01 43662
2005-01-01 44429
2006-01-01 46133
2007-01-01 47115
2008-01-01 50056
2009-01-01 49650
2010-01-01 46384
2011-01-01 51973
2012-01-01 50708
2013-01-01 51096
2014-01-01 50168
2015-01-01 53338
2016-01-01 50103
2017-01-01 54539
2018-01-01 58748
2019-01-01 55629
2020-01-01 58610
2021-01-01 65568
2022-01-01 71159

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