Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hamilton County, IL
Series ID MHICIUBIL17065A052NCEN
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 22440
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25452
1994-01-01 .
1995-01-01 28989
1996-01-01 .
1997-01-01 31187
1998-01-01 31533
1999-01-01 32391
2000-01-01 34162
2001-01-01 33656
2002-01-01 33904
2003-01-01 34147
2004-01-01 36835
2005-01-01 36738
2006-01-01 38677
2007-01-01 41237
2008-01-01 41852
2009-01-01 43269
2010-01-01 44516
2011-01-01 45744
2012-01-01 46718
2013-01-01 45875
2014-01-01 53825
2015-01-01 50272
2016-01-01 52577
2017-01-01 53887
2018-01-01 57501
2019-01-01 56676
2020-01-01 56639
2021-01-01 61840
2022-01-01 63865
2023-01-01 72220

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