Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Henderson County, IL
Series ID MHICILBIL17071A052NCEN
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 20327
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24530
1994-01-01 .
1995-01-01 26492
1996-01-01 .
1997-01-01 30262
1998-01-01 32160
1999-01-01 33360
2000-01-01 34686
2001-01-01 34613
2002-01-01 34104
2003-01-01 34767
2004-01-01 36076
2005-01-01 34463
2006-01-01 35463
2007-01-01 37596
2008-01-01 39085
2009-01-01 38618
2010-01-01 39136
2011-01-01 40749
2012-01-01 43254
2013-01-01 40734
2014-01-01 46158
2015-01-01 43217
2016-01-01 43875
2017-01-01 45908
2018-01-01 48325
2019-01-01 51927
2020-01-01 50830
2021-01-01 52624
2022-01-01 55642
2023-01-01 55278

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