Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for McHenry County, IL
Series ID MHICIUBIL17111A052NCEN
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 2:31 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 45006
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 52146
1994-01-01 .
1995-01-01 59663
1996-01-01 .
1997-01-01 62157
1998-01-01 65066
1999-01-01 68528
2000-01-01 72236
2001-01-01 71910
2002-01-01 73159
2003-01-01 72498
2004-01-01 74862
2005-01-01 73437
2006-01-01 74905
2007-01-01 77128
2008-01-01 82320
2009-01-01 77396
2010-01-01 71607
2011-01-01 73419
2012-01-01 79960
2013-01-01 79201
2014-01-01 79873
2015-01-01 84894
2016-01-01 84940
2017-01-01 90002
2018-01-01 91090
2019-01-01 93565
2020-01-01 97623
2021-01-01 97166
2022-01-01 102361
2023-01-01 105191

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