Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for La Salle County, IL
Series ID MHICIUBIL17099A052NCEN
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 2:31 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 28925
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33620
1994-01-01 .
1995-01-01 37432
1996-01-01 .
1997-01-01 40319
1998-01-01 41798
1999-01-01 42440
2000-01-01 45647
2001-01-01 44236
2002-01-01 44595
2003-01-01 44570
2004-01-01 46626
2005-01-01 44134
2006-01-01 48585
2007-01-01 50972
2008-01-01 52117
2009-01-01 54733
2010-01-01 52292
2011-01-01 52167
2012-01-01 51701
2013-01-01 52848
2014-01-01 54791
2015-01-01 55157
2016-01-01 59977
2017-01-01 59062
2018-01-01 57918
2019-01-01 62730
2020-01-01 68218
2021-01-01 69073
2022-01-01 68737
2023-01-01 77278

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