Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cook County, IL
Series ID MHICIUBIL17031A052NCEN
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 1:10 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 30766
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34704
1994-01-01 .
1995-01-01 39103
1996-01-01 .
1997-01-01 41651
1998-01-01 43338
1999-01-01 44824
2000-01-01 47032
2001-01-01 45299
2002-01-01 44566
2003-01-01 44323
2004-01-01 45272
2005-01-01 49695
2006-01-01 51130
2007-01-01 53307
2008-01-01 55337
2009-01-01 53121
2010-01-01 51920
2011-01-01 51326
2012-01-01 52746
2013-01-01 54643
2014-01-01 55698
2015-01-01 57485
2016-01-01 60788
2017-01-01 62059
2018-01-01 64429
2019-01-01 70419
2020-01-01 73103
2021-01-01 72953
2022-01-01 77563

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