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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hancock County, IL
Series ID MHICIUBIL17067A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:53 PM 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 25395
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30462
1994-01-01 .
1995-01-01 34235
1996-01-01 .
1997-01-01 38237
1998-01-01 38600
1999-01-01 38880
2000-01-01 41263
2001-01-01 40441
2002-01-01 40477
2003-01-01 40632
2004-01-01 42691
2005-01-01 41525
2006-01-01 44225
2007-01-01 48240
2008-01-01 45138
2009-01-01 47787
2010-01-01 44945
2011-01-01 46522
2012-01-01 49076
2013-01-01 51374
2014-01-01 53358
2015-01-01 51295
2016-01-01 55724
2017-01-01 55516
2018-01-01 58539
2019-01-01 58103
2020-01-01 60683
2021-01-01 61779
2022-01-01 68486

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