Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Henderson County, IL
Series ID MHICIUBIL17071A052NCEN
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 3:12 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 24859
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29233
1994-01-01 .
1995-01-01 32719
1996-01-01 .
1997-01-01 36448
1998-01-01 38266
1999-01-01 37931
2000-01-01 40256
2001-01-01 39646
2002-01-01 39106
2003-01-01 39427
2004-01-01 40881
2005-01-01 39850
2006-01-01 41652
2007-01-01 44282
2008-01-01 47418
2009-01-01 47464
2010-01-01 47288
2011-01-01 49685
2012-01-01 50840
2013-01-01 49310
2014-01-01 55840
2015-01-01 51491
2016-01-01 51709
2017-01-01 56120
2018-01-01 58939
2019-01-01 59143
2020-01-01 66324
2021-01-01 66206
2022-01-01 68142
2023-01-01 69942

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