Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for White County, IL
Series ID MHICIUBIL17193A052NCEN
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 3:12 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 24763
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27059
1994-01-01 .
1995-01-01 29385
1996-01-01 .
1997-01-01 32645
1998-01-01 33254
1999-01-01 32283
2000-01-01 34173
2001-01-01 33614
2002-01-01 33753
2003-01-01 34524
2004-01-01 35959
2005-01-01 38149
2006-01-01 37533
2007-01-01 43415
2008-01-01 43734
2009-01-01 42145
2010-01-01 43599
2011-01-01 45726
2012-01-01 46663
2013-01-01 46354
2014-01-01 51142
2015-01-01 50975
2016-01-01 48925
2017-01-01 52780
2018-01-01 54534
2019-01-01 56867
2020-01-01 51826
2021-01-01 55883
2022-01-01 61037
2023-01-01 63217

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