Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hancock County, IL
Series ID MHICILBIL17067A052NCEN
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 1:54 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 21138
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26061
1994-01-01 .
1995-01-01 28067
1996-01-01 .
1997-01-01 32070
1998-01-01 32516
1999-01-01 33999
2000-01-01 35406
2001-01-01 35155
2002-01-01 35121
2003-01-01 35651
2004-01-01 37536
2005-01-01 35504
2006-01-01 37084
2007-01-01 42187
2008-01-01 38322
2009-01-01 39760
2010-01-01 38095
2011-01-01 41178
2012-01-01 41290
2013-01-01 44556
2014-01-01 44176
2015-01-01 45131
2016-01-01 47718
2017-01-01 49734
2018-01-01 48567
2019-01-01 49345
2020-01-01 47469
2021-01-01 51621
2022-01-01 58162

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