Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Alexander County, IL
Series ID MHICILBIL17003A052NCEN
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 1:12 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 13104
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14710
1994-01-01 .
1995-01-01 15757
1996-01-01 .
1997-01-01 17638
1998-01-01 19131
1999-01-01 23446
2000-01-01 24389
2001-01-01 23521
2002-01-01 23343
2003-01-01 23706
2004-01-01 24223
2005-01-01 24885
2006-01-01 26592
2007-01-01 25704
2008-01-01 25794
2009-01-01 25812
2010-01-01 26479
2011-01-01 25743
2012-01-01 26201
2013-01-01 27253
2014-01-01 27413
2015-01-01 30792
2016-01-01 30165
2017-01-01 30514
2018-01-01 31630
2019-01-01 32871
2020-01-01 32445
2021-01-01 37222
2022-01-01 36328

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