Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Champaign County, IL
Series ID MHICILBIL17019A052NCEN
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 25811
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29963
1994-01-01 .
1995-01-01 30804
1996-01-01 .
1997-01-01 35106
1998-01-01 37427
1999-01-01 35743
2000-01-01 36673
2001-01-01 36585
2002-01-01 36634
2003-01-01 36931
2004-01-01 37469
2005-01-01 37787
2006-01-01 41091
2007-01-01 41809
2008-01-01 42821
2009-01-01 40146
2010-01-01 43449
2011-01-01 39937
2012-01-01 44639
2013-01-01 44170
2014-01-01 45052
2015-01-01 47609
2016-01-01 48311
2017-01-01 48581
2018-01-01 51049
2019-01-01 50581
2020-01-01 59627
2021-01-01 54243
2022-01-01 57885
2023-01-01 57414

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