Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mason County, IL
Series ID MHICIUBIL17125A052NCEN
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 26689
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30495
1994-01-01 .
1995-01-01 33097
1996-01-01 .
1997-01-01 36378
1998-01-01 38347
1999-01-01 37734
2000-01-01 40096
2001-01-01 39080
2002-01-01 39238
2003-01-01 38856
2004-01-01 40772
2005-01-01 41761
2006-01-01 42832
2007-01-01 46740
2008-01-01 45650
2009-01-01 48009
2010-01-01 46261
2011-01-01 47471
2012-01-01 49571
2013-01-01 49561
2014-01-01 51115
2015-01-01 47537
2016-01-01 50877
2017-01-01 55315
2018-01-01 53107
2019-01-01 55799
2020-01-01 60780
2021-01-01 63450
2022-01-01 67805

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