Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington County, IL
Series ID MHICILBIL17189A052NCEN
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 24162
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28004
1994-01-01 .
1995-01-01 29444
1996-01-01 .
1997-01-01 33570
1998-01-01 35290
1999-01-01 37771
2000-01-01 39000
2001-01-01 39214
2002-01-01 39179
2003-01-01 40323
2004-01-01 42329
2005-01-01 44622
2006-01-01 43371
2007-01-01 44522
2008-01-01 47332
2009-01-01 46373
2010-01-01 46725
2011-01-01 46079
2012-01-01 50784
2013-01-01 49199
2014-01-01 49827
2015-01-01 52341
2016-01-01 53506
2017-01-01 50880
2018-01-01 61726
2019-01-01 59906
2020-01-01 60989
2021-01-01 60417
2022-01-01 64371
2023-01-01 69364

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