Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Douglas County, IL
Series ID MHICILBIL17041A052NCEN
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 24637
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29119
1994-01-01 .
1995-01-01 30618
1996-01-01 .
1997-01-01 33555
1998-01-01 34569
1999-01-01 36501
2000-01-01 38025
2001-01-01 38193
2002-01-01 38765
2003-01-01 39981
2004-01-01 41424
2005-01-01 39880
2006-01-01 41096
2007-01-01 42216
2008-01-01 41888
2009-01-01 45278
2010-01-01 44385
2011-01-01 45015
2012-01-01 49697
2013-01-01 46417
2014-01-01 48031
2015-01-01 48286
2016-01-01 52838
2017-01-01 49969
2018-01-01 52419
2019-01-01 59458
2020-01-01 54990
2021-01-01 58462
2022-01-01 59654

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