Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Carroll County, IL
Series ID MHICIUBIL17015A052NCEN
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 27852
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31292
1994-01-01 .
1995-01-01 33956
1996-01-01 .
1997-01-01 37990
1998-01-01 40058
1999-01-01 39397
2000-01-01 41234
2001-01-01 40253
2002-01-01 40131
2003-01-01 39956
2004-01-01 41659
2005-01-01 43684
2006-01-01 42793
2007-01-01 45202
2008-01-01 49791
2009-01-01 45034
2010-01-01 50018
2011-01-01 46872
2012-01-01 50735
2013-01-01 47692
2014-01-01 54851
2015-01-01 53681
2016-01-01 55241
2017-01-01 53960
2018-01-01 56487
2019-01-01 61807
2020-01-01 60052
2021-01-01 58565
2022-01-01 70137

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