Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wayne County, IL
Series ID MHICILBIL17191A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 19196
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22887
1994-01-01 .
1995-01-01 23937
1996-01-01 .
1997-01-01 27136
1998-01-01 27902
1999-01-01 28998
2000-01-01 29872
2001-01-01 29621
2002-01-01 29876
2003-01-01 30935
2004-01-01 32986
2005-01-01 31523
2006-01-01 32996
2007-01-01 34959
2008-01-01 34855
2009-01-01 36989
2010-01-01 37775
2011-01-01 36499
2012-01-01 40442
2013-01-01 38893
2014-01-01 44260
2015-01-01 44374
2016-01-01 41322
2017-01-01 42086
2018-01-01 47176
2019-01-01 45941
2020-01-01 43436
2021-01-01 45629
2022-01-01 47039
2023-01-01 49520

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