Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wabash County, IL
Series ID MHICILBIL17185A052NCEN
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 22300
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26335
1994-01-01 .
1995-01-01 27570
1996-01-01 .
1997-01-01 29504
1998-01-01 30132
1999-01-01 31553
2000-01-01 32955
2001-01-01 33133
2002-01-01 33868
2003-01-01 34659
2004-01-01 36545
2005-01-01 34849
2006-01-01 36100
2007-01-01 42164
2008-01-01 40178
2009-01-01 38391
2010-01-01 38448
2011-01-01 44392
2012-01-01 42846
2013-01-01 42762
2014-01-01 45116
2015-01-01 46545
2016-01-01 44963
2017-01-01 47241
2018-01-01 48898
2019-01-01 48272
2020-01-01 47599
2021-01-01 49524
2022-01-01 56651

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