Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cook County, IL
Series ID MHICILBIL17031A052NCEN
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 28651
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32435
1994-01-01 .
1995-01-01 36539
1996-01-01 .
1997-01-01 38702
1998-01-01 40283
1999-01-01 41497
2000-01-01 43515
2001-01-01 41905
2002-01-01 41225
2003-01-01 41180
2004-01-01 41959
2005-01-01 48143
2006-01-01 50235
2007-01-01 51800
2008-01-01 53782
2009-01-01 51912
2010-01-01 50994
2011-01-01 50286
2012-01-01 51574
2013-01-01 52947
2014-01-01 54418
2015-01-01 56197
2016-01-01 59262
2017-01-01 60743
2018-01-01 62265
2019-01-01 68331
2020-01-01 70119
2021-01-01 71173
2022-01-01 75665
2023-01-01 79518

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