Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for La Salle County, IL
Series ID MHICILBIL17099A052NCEN
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 1:12 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 24637
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29328
1994-01-01 .
1995-01-01 31852
1996-01-01 .
1997-01-01 34544
1998-01-01 36053
1999-01-01 37436
2000-01-01 39607
2001-01-01 38787
2002-01-01 39084
2003-01-01 39432
2004-01-01 41236
2005-01-01 39879
2006-01-01 44495
2007-01-01 45463
2008-01-01 47116
2009-01-01 49684
2010-01-01 46536
2011-01-01 45723
2012-01-01 47161
2013-01-01 46126
2014-01-01 47619
2015-01-01 49475
2016-01-01 53109
2017-01-01 54646
2018-01-01 50208
2019-01-01 56326
2020-01-01 57210
2021-01-01 59821
2022-01-01 60685

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