Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mason County, IL
Series ID MHICILBIL17125A052NCEN
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 1:54 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 22149
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25911
1994-01-01 .
1995-01-01 26877
1996-01-01 .
1997-01-01 30152
1998-01-01 32196
1999-01-01 33053
2000-01-01 34499
2001-01-01 34068
2002-01-01 34178
2003-01-01 34152
2004-01-01 35902
2005-01-01 35195
2006-01-01 36256
2007-01-01 39151
2008-01-01 38394
2009-01-01 39886
2010-01-01 38797
2011-01-01 39559
2012-01-01 41057
2013-01-01 41565
2014-01-01 42641
2015-01-01 39949
2016-01-01 43047
2017-01-01 48147
2018-01-01 44421
2019-01-01 48135
2020-01-01 46226
2021-01-01 54206
2022-01-01 53763

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