Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Union County, IL
Series ID MHICIUBIL17181A052NCEN
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 1:10 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 24417
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26130
1994-01-01 .
1995-01-01 29456
1996-01-01 .
1997-01-01 32087
1998-01-01 33469
1999-01-01 32979
2000-01-01 34903
2001-01-01 34091
2002-01-01 34645
2003-01-01 35297
2004-01-01 36866
2005-01-01 37543
2006-01-01 39344
2007-01-01 41501
2008-01-01 42520
2009-01-01 41624
2010-01-01 42925
2011-01-01 42184
2012-01-01 44508
2013-01-01 45823
2014-01-01 44927
2015-01-01 48200
2016-01-01 48976
2017-01-01 50700
2018-01-01 52879
2019-01-01 56026
2020-01-01 62632
2021-01-01 58402
2022-01-01 56295

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