Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Knox County, IL
Series ID MHICILBIL17095A052NCEN
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 22805
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26396
1994-01-01 .
1995-01-01 27848
1996-01-01 .
1997-01-01 30444
1998-01-01 31330
1999-01-01 32279
2000-01-01 33329
2001-01-01 32738
2002-01-01 32484
2003-01-01 32927
2004-01-01 34120
2005-01-01 33355
2006-01-01 34583
2007-01-01 34864
2008-01-01 36003
2009-01-01 37024
2010-01-01 36544
2011-01-01 36495
2012-01-01 38633
2013-01-01 36565
2014-01-01 36413
2015-01-01 40582
2016-01-01 39544
2017-01-01 41543
2018-01-01 41024
2019-01-01 38925
2020-01-01 46367
2021-01-01 42926
2022-01-01 52597

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