Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hamilton County, IL
Series ID MHICILBIL17065A052NCEN
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 17810
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20876
1994-01-01 .
1995-01-01 22777
1996-01-01 .
1997-01-01 24783
1998-01-01 25077
1999-01-01 28390
2000-01-01 29362
2001-01-01 29294
2002-01-01 29530
2003-01-01 30074
2004-01-01 32428
2005-01-01 30914
2006-01-01 32264
2007-01-01 33763
2008-01-01 34379
2009-01-01 35404
2010-01-01 36824
2011-01-01 37148
2012-01-01 38628
2013-01-01 38785
2014-01-01 45755
2015-01-01 41580
2016-01-01 43133
2017-01-01 44297
2018-01-01 48555
2019-01-01 45386
2020-01-01 41965
2021-01-01 48978
2022-01-01 50103
2023-01-01 58724

Subscribe to the FRED newsletter


Follow us

Back to Top