Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Alexander County, IL
Series ID MHICIUBIL17003A052NCEN
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 3:12 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 17686
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19346
1994-01-01 .
1995-01-01 22150
1996-01-01 .
1997-01-01 23958
1998-01-01 25374
1999-01-01 26756
2000-01-01 28359
2001-01-01 27064
2002-01-01 26899
2003-01-01 27037
2004-01-01 27637
2005-01-01 29923
2006-01-01 30990
2007-01-01 31182
2008-01-01 31656
2009-01-01 30928
2010-01-01 32077
2011-01-01 31255
2012-01-01 31665
2013-01-01 33029
2014-01-01 33985
2015-01-01 35052
2016-01-01 36523
2017-01-01 37456
2018-01-01 38868
2019-01-01 41945
2020-01-01 44185
2021-01-01 46410
2022-01-01 46428
2023-01-01 51042

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