Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Washington County, IL
Series ID MHICIUBIL17189A052NCEN
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 3:12 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 28501
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32520
1994-01-01 .
1995-01-01 35647
1996-01-01 .
1997-01-01 39774
1998-01-01 41437
1999-01-01 43092
2000-01-01 45360
2001-01-01 45028
2002-01-01 45061
2003-01-01 45854
2004-01-01 48104
2005-01-01 51664
2006-01-01 50527
2007-01-01 52933
2008-01-01 56874
2009-01-01 54225
2010-01-01 55693
2011-01-01 54851
2012-01-01 58344
2013-01-01 58735
2014-01-01 59539
2015-01-01 61697
2016-01-01 63668
2017-01-01 61356
2018-01-01 72148
2019-01-01 68688
2020-01-01 77783
2021-01-01 73075
2022-01-01 79545
2023-01-01 80332

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