Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Montgomery County, IL
Series ID MHICILBIL17135A052NCEN
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 21536
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25644
1994-01-01 .
1995-01-01 27049
1996-01-01 .
1997-01-01 30277
1998-01-01 30890
1999-01-01 31325
2000-01-01 32128
2001-01-01 31815
2002-01-01 31938
2003-01-01 32499
2004-01-01 33710
2005-01-01 33154
2006-01-01 35794
2007-01-01 37574
2008-01-01 37514
2009-01-01 35401
2010-01-01 38946
2011-01-01 46839
2012-01-01 41909
2013-01-01 39843
2014-01-01 41003
2015-01-01 42289
2016-01-01 42999
2017-01-01 46811
2018-01-01 50273
2019-01-01 46234
2020-01-01 55696
2021-01-01 55108
2022-01-01 50557
2023-01-01 55585

Subscribe to the FRED newsletter


Follow us

Back to Top