Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jersey County, IL
Series ID MHICILBIL17083A052NCEN
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 1:12 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 24400
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28731
1994-01-01 .
1995-01-01 32214
1996-01-01 .
1997-01-01 34713
1998-01-01 35905
1999-01-01 37857
2000-01-01 39530
2001-01-01 39734
2002-01-01 40149
2003-01-01 41142
2004-01-01 42702
2005-01-01 43965
2006-01-01 44476
2007-01-01 50648
2008-01-01 47061
2009-01-01 44821
2010-01-01 50359
2011-01-01 52488
2012-01-01 48510
2013-01-01 49556
2014-01-01 47136
2015-01-01 49920
2016-01-01 51497
2017-01-01 52779
2018-01-01 53069
2019-01-01 56620
2020-01-01 61158
2021-01-01 61626
2022-01-01 63863

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