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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Woodford County, IL
Series ID MHICILBIL17203A052NCEN
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 30536
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38313
1994-01-01 .
1995-01-01 42120
1996-01-01 .
1997-01-01 46230
1998-01-01 47258
1999-01-01 47478
2000-01-01 49054
2001-01-01 49142
2002-01-01 49275
2003-01-01 50310
2004-01-01 54029
2005-01-01 53905
2006-01-01 56602
2007-01-01 58883
2008-01-01 60211
2009-01-01 59042
2010-01-01 60791
2011-01-01 60471
2012-01-01 64852
2013-01-01 61432
2014-01-01 64303
2015-01-01 64220
2016-01-01 69421
2017-01-01 70762
2018-01-01 65319
2019-01-01 70519
2020-01-01 64178
2021-01-01 77115
2022-01-01 78863

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