Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Carroll County, IL
Series ID MHICILBIL17015A052NCEN
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 3:13 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 23425
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26800
1994-01-01 .
1995-01-01 27882
1996-01-01 .
1997-01-01 31861
1998-01-01 33995
1999-01-01 34577
2000-01-01 35476
2001-01-01 35049
2002-01-01 34860
2003-01-01 35115
2004-01-01 36673
2005-01-01 37694
2006-01-01 38829
2007-01-01 37828
2008-01-01 40810
2009-01-01 38122
2010-01-01 44046
2011-01-01 39120
2012-01-01 44017
2013-01-01 39594
2014-01-01 46649
2015-01-01 47183
2016-01-01 45419
2017-01-01 45528
2018-01-01 47439
2019-01-01 51129
2020-01-01 47878
2021-01-01 50335
2022-01-01 58177
2023-01-01 54428

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