Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for McHenry County, IL
Series ID MHICILBIL17111A052NCEN
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 2:33 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 40746
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 47613
1994-01-01 .
1995-01-01 53853
1996-01-01 .
1997-01-01 56151
1998-01-01 59128
1999-01-01 60328
2000-01-01 62626
2001-01-01 62974
2002-01-01 64054
2003-01-01 64204
2004-01-01 66274
2005-01-01 68914
2006-01-01 69951
2007-01-01 71101
2008-01-01 76992
2009-01-01 71942
2010-01-01 66973
2011-01-01 67945
2012-01-01 72874
2013-01-01 72225
2014-01-01 73839
2015-01-01 76132
2016-01-01 78200
2017-01-01 82898
2018-01-01 81446
2019-01-01 85193
2020-01-01 81837
2021-01-01 87878
2022-01-01 95895
2023-01-01 97219

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