Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Marshall County, IL
Series ID MHICIUBIL17123A052NCEN
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 28853
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33508
1994-01-01 .
1995-01-01 37101
1996-01-01 .
1997-01-01 41442
1998-01-01 42953
1999-01-01 43265
2000-01-01 46174
2001-01-01 45394
2002-01-01 45357
2003-01-01 45521
2004-01-01 47553
2005-01-01 50720
2006-01-01 47731
2007-01-01 52133
2008-01-01 55110
2009-01-01 50541
2010-01-01 53040
2011-01-01 55346
2012-01-01 56970
2013-01-01 54769
2014-01-01 58976
2015-01-01 57570
2016-01-01 59899
2017-01-01 60717
2018-01-01 62784
2019-01-01 69071
2020-01-01 60337
2021-01-01 70398
2022-01-01 77032

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